Next Article in Journal
Sleep Quality: A Narrative Review on Nutrition, Stimulants, and Physical Activity as Important Factors
Previous Article in Journal
Sarcopenia as an Independent Risk Factor for Specific Cancers: A Propensity Score-Matched Asian Population-Based Cohort Study
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Nutrients
Volume 14
Issue 9
10.3390/nu14091911
nutrients-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Nutritional Value of Canteen Menus and Dietary Habits and Intakes of University Students in Indonesia

by
Yui Sakai
1,
Yen Yen Sally Rahayu
2 and
Tetsuya Araki
1,*
1
Department of Global Agricultural Sciences, Graduate School of Agricultural and Life Science, The University of Tokyo, 1-1-1 Yayoi, Bunkyo Ward, Tokyo 113-8657, Japan
2
Tokyo College, The University of Tokyo, 7-3-1 Hongo, Bunkyo Ward, Tokyo 113-0033, Japan
*
Author to whom correspondence should be addressed.
Nutrients 2022, 14(9), 1911; https://doi.org/10.3390/nu14091911
Submission received: 4 April 2022 / Revised: 26 April 2022 / Accepted: 29 April 2022 / Published: 2 May 2022
(This article belongs to the Section Nutrition and Public Health)
Browse Figures
Versions Notes

Abstract

:
A comprehensive assessment of the dietary status of university students in Indonesia is lacking. Hence, this study aims to assess students’ dietary habits, status, and the nutritive value of meals offered at university canteens. This was a cross-sectional study based on the dietary habits of 333 students, 26 of whom were interviewed for the dietary survey. The nutritional value of canteen menus used by nearly half of the students (44%) was also examined. Most menus lacked macro and micronutrients (i.e., calcium, 15.5%) and were high in salt (181.5%). BMIs showed malnutrition among students (38.5%). The protein, fat, carbohydrate (PFC) ratio showed a high proportion of fat (32.4%) in the diets of female students. The level of salt intake (96.2%) was above the Indonesian recommended dietary allowance (RDA). Most students had unhealthy dietary patterns, including a high consumption of sweet beverages and instant noodles and a low intake of fruits, vegetables, animal protein, and milk. The lack of nutrients in canteen menus might lead to a nutrient deficiency among the students, which underlines the important role of canteens in the students’ dietary intake. Optimizing the nutritional profile of menus, labeling based on nutrient profiling, and promoting nutrition education should be addressed to improve students’ diets.

1. Introduction

Poor diet is linked to various non-communicable diseases (NCDs) and is potentially a significant contributor to NCD mortality globally [1,2]. Nutritional issues increase susceptibility to various diseases, including poor immunity against infections and NCDs, such as cardiovascular diseases, cancers, chronic respiratory diseases, and diabetes mellitus [3,4]. A review of 195 countries reported that 11 million deaths and 255 million disability-adjusted life-years (DALYs) were attributable to dietary risks, with a high intake of sodium and low intake of whole grains and fruits being the leading factors [5]. In Indonesia, dietary risks are also the leading factors responsible for the greatest disease burden, accounting for approximately 10% of the total DALYs [6]. The prevalence of NCDs has been increasing, not only among the elderly but also among young adults in Indonesia [7,8]. Similarly, to many other developing countries, particularly in Asia [9,10], Indonesia is also experiencing a double burden of malnutrition, with undernutrition and overnutrition seen in children and adults [7]. At least half of the Indonesian population suffers from at least one micronutrient deficiency [11], and one in seven adult women suffer from chronic energy deficiency [7]. In contrast, one in three adults are overweight or obese. Given the potential impact of dietary risks on NCD mortality and morbidity, promoting healthy dietary practices has become essential for health policy and NCD prevention [11,12,13].
Many studies have suggested that improving dietary habits through nutrition-based interventions could be particularly effective if performed on younger people. Studies on health behaviors have indicated that the nutritional habits of young people significantly influence their health status in later adulthood [14,15,16]. For example, a previous study identified that people aged between 18 to 29 years are at the life stage in which behavioral risk factors can lead to the development of cardiovascular diseases [17]. In addition, previous research found that there is a significant decline in physical activity during the transition to university [18,19]. The educational period is critical for developing a healthy lifestyle, including a healthy diet and adequate physical activity [20]; therefore, the dietary habits of university students are particularly relevant. In general, college is the first time young adults live independently and are more responsible for their health behaviors and risks [20]. Many studies have reported that to most students, nutritional concerns were less relevant than convenience [21,22,23]. Health behaviors were different among university students [20] and were associated with personal beliefs, emphasizing the importance of enhancing positive attitudes toward healthier lifestyles [24].
Out-of-home eating has significantly increased and has taken a prominent position in dietary habits over the past few decades [25,26]. Various studies have shown that out-of-home eating is associated with higher energy intake owing to its higher energy density or larger portions [27,28,29,30,31,32,33]. Psychosocial and environmental factors influence what is eaten, and consumers frequently lack access to the nutritional information that allows them to make an informed choice [34]. Compared with eating at home or self-catering, out-of-home eating also presents additional nutritional challenges, such as lower micronutrients, especially vitamin C, calcium, and iron [12]. Other reports have shown that a higher frequency of consuming meals prepared away from home was associated with a lower intake of healthy foods, such as fruits, vegetables, dietary fiber, vitamin C, minerals, a higher intake of fat and oils, and increased body weight and body mass index (BMI) [35].
Many students leave their family environment when entering university and move to university towns; therefore, university canteens have become a vital ‘out-of-home’ contributor in terms of where students consume their main meals [12]. A survey of university students in central Java indicated that more than two-thirds of the students had meals prepared away from home [36]; however, the study did not specify the whereabouts of out-of-home eating. Although no specific guidelines are issued for nutrition content in a school meal in Indonesia, the Indonesian dietary recommendations for a meal for young adults suggest 18.7–20.7 g protein, 25–30.3 g fat, and 103–125 g carbohydrates [7]. In addition, it advises that the total number of daily meals should cater for a minimum of five servings of vegetables and a maximum intake of 2 g of salt [7,37].
Although school canteens can contribute to creating dietary risks [38,39], they also represent an opportunity to improve students’ diets [40,41]. Several studies have investigated dietary habits and dietary status among university students in Indonesia [36,42,43,44,45,46,47,48]; however, these studies lack information regarding the nutritive value of the university canteen meals and the contribution of the food groups to students’ daily nutrient intake and food consumption. Thus, we aimed to assess students’ dietary habits, dietary status, and nutritive value of meals offered to them at the university canteen to fill the current literature gap. Our findings provide evidence-based information needed to set realistic goals for meal planning and develop nutrition-based intervention strategies to improve students’ health status and quality of life.

2. Materials and Methods

2.1. Study Design

A cross-sectional study was conducted among students at the Institut Pertanian Bogor (IPB), Indonesia, for one month between September and December 2019. Ethical approval was obtained from the Health Research Ethics Commission of the University of Tokyo (H-190905001).
Information on students’ dietary habits (dietary habit survey), including the sources and frequency of lunch meals on weekdays, was collected using an anonymous web-based survey from 917 students with 36.31% valid answers (n = 333). Respondents who received a questionnaire were excluded if they did not respond or did not answer all questions. The participants were randomly selected through student clubs and associations at the university. The meal sources in this study were categorized as follows: (1) university canteen, (2) eating outside, (3) self-catered/homemade, and (4) skipped meals. If the student had meals (canteen, eating outside except for canteen, self-catered, or skipped meals) at least twice in a weekday, it was counted as the student’s meal source. The frequency of meal sources counted was then calculated as a percentage by sex.
The nutritional value of the canteen menu was evaluated by measuring the weight and salinity of 20 types of meals served by the food stalls in the canteen. Among 333 students who participated in the survey on dietary habits, 100 were randomly selected to participate in the dietary intake assessment.

2.2. Data Collection

2.2.1. Students’ Dietary Habits and Nutritive Value of Canteen Menu

Data on the students’ basic characteristics (i.e., gender, age, and faculty) and dietary habits were collected during the mid-academic term. The meals considered in this study were lunch meals due to the operating time of the university canteen from 11:00 a.m. to 4:00 p.m. In this study, the definition of a ‘canteen’ was an eating facility located in the university, comprising eighteen food stalls offering various menus on weekdays.
The students were considered to have a meal if they consumed solid food two or more times during weekdays, which produced energy. A self-catered meal was defined as a self-prepared or homemade meal. In contrast, a ‘prepared away-from-home’ or ‘out-of-home’ meal was defined as non-homemade food or a meal prepared outside of the home. Out-of-home eating included eating take-out food and eating out at restaurants, canteens, or other eating places. The definition of skipping a meal was self-explanatory.
The menu served by the food stalls in the canteen consisted of main and side dishes. Information on the ingredients, including the average weight of each ingredient, was collected twice on different days. The quantity of each ingredient was measured using a standard kitchen weight scale (Excellent Scale Co., Ltd., Jakarta, Indonesia). A salt meter (PAL-sio, ATAGO Co., Ltd., Tokyo, Japan) was used to measure the salt content of the menu, with an absolute measurement error of ±0.05% for 0.00–0.99% salt content and a relative measurement error of ±5% for 1.00–10.0% salt content [49]. Information on other seasonings, such as oils, was obtained from the cooks of the canteen’s food stalls. Food composition data (i.e., energy, carbohydrate, protein, fat, and sodium) were specified by referring to various databases, such as the Indonesian Food Composition Table 2005 [50], the USDA National Nutrient Database for Standard Reference 2015 [51], and the reference database of fat absorption of food processed by frying and moisture content changes due to the cooking process [52].

2.2.2. Students’ Dietary Intakes

Students’ heights and weights were measured at the university using standardized protocols. BMI was used as an indicator of students’ nutritional status and was obtained by calculating the ratio of body weight (kg) to height squared (m) (expressed as kg/m2). Students’ nutritional status was categorized according to the WHO recommendations for underweight (BMI < 18.5), normal weight (BMI: 18.5–24.9), and overweight (BMI ≥ 25) [53]. The weekly hours of physical activity were asked. Physical activity was defined as moderate intensity aerobic physical activity according to WHO guidelines [54].
Of 333 students who participated in the dietary habit survey, 100 students were randomly selected to participate in the dietary intake survey. The dietary intake survey was conducted by administering questionnaires during a five-day observation. Among the 100 students receiving the questionnaires, some students who did not complete questionnaires for five days of observation were excluded. Their responses were considered invalid. Those whose responses were completed for five days of observation (valid responses) were included as a subsample (n = 26; 16 men and 10 women; 26.0% valid responses). Dietary intake was analyzed through a five-day observation of a subsample. The observed students were asked what they ate on five consecutive weekdays. All questionnaires were checked for completeness and errors on the same day or the day after administration. Missing data were collected by asking the students the same questions again. Food content was estimated by referring to the Indonesian Food Composition Table 2005 [50] and Buku Foto Makanan [55]. When the content of an item was not available in these databases, it was estimated by referring to recipes commonly used by the locals. Data on students’ food consumption were expressed in grams.

2.3. Dietary Analysis

The Indonesian Food Composition Table 2005 [50] and USDA National Nutrient Database for Standard Reference 2015 [51] were used for nutritional value calculations. Nutritional values were calculated using the following formula:
Nutritional value of ingredients = Σ [(Observed ingredient weight (g)
× Rate of weight changes (%) ÷ 100)
× Nutritional value per 100 g of ingredient weight (g)]
The amount of oil used was determined using Daftar Faktor Konversi Berat Bahan Makanan [52]. The following formula is used to determine the amount of oil used:
Oil weight (g) = (Raw ingredients weight (g) × Rate of oil used (%) ÷100)
The Recommended Dietary Allowances (RDA) for Indonesia (Angka Kecukupan Gizi/AKG) [56] were used to evaluate whether the dietary intakes met the recommended amounts. The RDA used in this study were the recommended values for ages 19–29 based on sex. According to the U.S. government, one-third of the daily nutritional intake should be consumed for lunch; therefore, the nutritional intake per meal was set at one-third of the RDA [57].
Subsequently, detailed information regarding the intake of energy, protein, carbohydrate, fat, fiber, vitamins, minerals, and food groups (i.e., rice, vegetables, fruits, dairy, and chicken) was specified, and the contributors to the intake of each nutrient by different food groups were obtained. Each ingredient was assigned to a food group to assess its contribution to the total nutrient intake. The sources of each nutrient were listed in descending order of the percentage of nutrient intake for each source to the fifth largest source.
Data were expressed as the mean ± SD and were analyzed statistically using Python software version 3.8. Repeated–measures analysis of variance (ANOVA) was used to compare means among the number of students who had self-catered meals, prepared away from home meals, and skipped meals. It was also used to compare means of the amount of intake of each food group by sex. When the weekly hours of physical activity were found to be significantly associated with BMI, the difference was analyzed using Student’s t-test. Differences were considered statistically significant at p > 0.05.

3. Results and Discussion

3.1. The Students’ Dietary Habits

Table 1 shows that significantly more students had meals prepared away from home than self-catered meals on weekdays (eating out and taking out). Details of the frequency and its percentage value are shown in Supplementary Table S1. Similar to previous studies [58,59], the most common reason for having meals prepared away from home was the living conditions of most students: living alone without family. Among the students who had meals prepared away from home, just over half had meals in the canteen. This result suggests that the canteen menu may play a major role in students’ dietary intake.
Evaluation of the canteen menu (Table 2) indicated that the nutritional values of most menus were deficient. Generally, compared with a self-catered meal, the nutritional value of meals prepared away from home, including a school meal, tends to be lower in micronutrients, especially vitamin C, calcium, and iron [12,35]. In addition, we found that the average salt content of the canteen menu items was almost twice the RDA. Previous studies reported that meals prepared outside of the home, such as on the streets, in restaurants, and fast food, were the major contributors to salt intake [60,61]. Considering that consuming meals in the canteen is a common practice, there is a possibility of nutrient deficiency among students. To confirm this, we analyzed the dietary intake of the students.

3.2. Dietary Intakes

Dietary intakes were analyzed through a five-day observation of a subsample (n = 26; 16 man and 10 woman) to assess their dietary status.

3.2.1. BMI Status

Poor nutrition or nutritional imbalance is measured using weight indicators; such imbalance results in either being underweight, overweight, or obese [62]; therefore, we measured the BMI of the observed students. Table 3 shows that almost 40% of the observed students had poor nutritional status: underweight (15%) and overweight (23%). Nutritional studies among students in other developing Asian countries have shown similar trends. For example, in Thailand, 21.9% and 9.8% of students are underweight and overweight, respectively [63]. A survey among female university students in Bangladesh also reported a prevalence of an underweight status at 23.9%, an overweight and obese status at 9.10%, and a normal nutritional status at 70.0% [64]. These reports and our observations confirm the double burden of malnutrition, where both underweight and overweight statuses exist in the same population, household, or even a fluctuating individual [65]. Although high-income countries tend to have a higher prevalence of overweight people and low-income countries have a higher prevalence of underweight people, the double burden of malnutrition is most prevalent in middle-income countries, such as Kyrgyzstan, Russia, and Indonesia [9]. The double burden of malnutrition is receiving greater attention as it appears to be more permanent and widespread than previously perceived, with a particular rise in Asia [10].

3.2.2. Daily Dietary Intake

Table 4 presents the daily nutrient intake, including energy, protein, fat, carbohydrate, fiber, minerals, vitamins, and salt, for the observed students. Generally, most of them did not meet the dietary requirements for many key macronutrients and micronutrients. Except for sodium and vitamin K, none of the micronutrients, such as fiber, potassium, iron, and calcium, were adequate in the students’ dietary intake.
  • Energy intake, weight status and physical activity
The observed mean energy intakes (kcal/capita/day) was 1693.3 ± 348.5 for male students and 1393.0 ± 294.2 for female students, showing a tendency for energy intake to be below the RDA. In a previous study of female college students, energy intake was 1429.8 ± 516.7 kcal, and many of them did not exceed the RDA [66]. In the present study, 23.1% of the observed students were overweight, even though they were below the RDA for energy. Similar trends have been reported in many studies of university students. For example, in a study of Turkish students, 20% were overweight despite an energy intake of 80% of the RDA [67]. Another study conducted in Spain showed that 20% of students were overweight even though their energy was below the RDA [68].
The percentage of overweight students was 23.1% even though the energy intake was below the RDA. Other than energy intake from food consumption, the percentage of overweight students may also be associated with other factors, such as the amount of physical activity. This study showed that overweight students were significantly less physically active than normal weight students (Figure 1). A previous study reported that physical activity and body weight are correlated; increases in inactivity are associated with increases in weight [69]. Another study showed that despite equal average daily energy intakes, BMIs were 1.7% higher in men and 8.3% higher in women with low physical activity than those with ideal physical activity levels [70]. These results indicated that the amount of physical activity significantly impacted BMI.
Considering that consumption varies with the amount of physical activity, and that energy intake is below the RDA despite the high percentage of overweight students, there may be a need to reevaluate the RDA. Prior research pointed out that although increased use of technology has reduced the need for energy consumption [71,72], there has been no systematic reevaluation of recommendations regarding energy intake [73]. Furthermore, the decrease in energy consumption has not been fully compensated for by increased spontaneous physical activity [73]. Recommendations regarding energy intake need to be reevaluated to consider individual differences in activity levels [73].
According to the level of consumption (Table 5), rice was one of the main contributors of calorie intake (30.6–36.3%). In addition, instant noodles (8.7–14.0%), oil and fats (10.1–12.0%), and chicken (4.7–5.1%) were found to be the food groups that also contributed to the daily energy intake. The upper end of the graph describes the third quartile, and the lower end of the graph describes the first quartile.
b.
Protein, fat, and carbohydrate (PFC) ratio
Further analysis of the energy ratio from PFC indicated that carbohydrates (58.8%) mainly contributed to the total energy (Figure 2). According to previous research, the PFC ratio of Indonesians shifted from 10:8:82 in 1983 to 18:28:54 in 2004, indicating that carbohydrates still constitute the greatest proportion of energy, but to a lesser extent [74]. In contrast, protein constituted the lowest proportion of the PFC ratio, with a mean intake of 11.7%. Table 5 shows that the main protein source for most observed students was grains rather than animal proteins [37,75]. The RDA suggests that 55–60% of energy should come from carbohydrates and 10–20% from proteins [56]. Thus, the proportion of carbohydrates and proteins in the present study was within the recommended levels. Although we found that the average fat proportion in the PFC ratio (29.5%) was lower than that in the RDA, the fat proportion for female students (32.4%) was greater than the recommended amount of 30% or less [56]. Similarly, previous research found that the proportion of lipids was often predominant in the PFC ratio among Indonesian women, and has increased over the years [74]. This finding is also in line with other studies showing that total calories from fat were higher in women than in men [66,76,77]. This may be due to a lower carbohydrate intake compared with male students. In a previous study, the authors explained that female students’ proportion of lipids was higher than males’ because of their lower carbohydrate intake [66].
c.
Salt intake
This study found that the daily salt intake was above the recommended amount for 96.2% of the observed students (4.8 to 6.4 g). The WHO recommends a daily salt intake of less than 5 g (approximately 2 g sodium) in adults (≥16 years) to reduce blood pressure and the risk of cardiovascular disease, stroke, and coronary heart disease. Indonesia has the highest prevalence of hypertension compared with other Southeast Asian countries such as Malaysia, Singapore, Thailand, the Philippines, and Vietnam [78]. Furthermore, the risk of hypertension appears to be greater for Indonesians than for Chinese and Vietnamese individuals with the same BMI [79]. In line with previous Indonesian studies [37,80], the sodium intake of male students tended to be higher than that of female students. Although a previous study reported that the highest salt intake among Indonesian adults was attributed to cereal and cereal product consumption [37], in this study, we found that seasoning was the major contributor to the total salt intake of the observed students (Table 5). Other food groups that contributed to total salt intake included eggs, dairy, noodles, bread, beef, and snacks.
d.
Dietary intake from canteen menu
The daily intake of energy and nutrients of the observed students from canteen meals ranged from 14.1% to 28.2% (Table 4). Consumption of more than 25% of total daily energy intake at locations other than households was considered to be substantial out-of-home eating [26]. Thus, it is safe to suggest that the dietary intake status of the students in this study depends on the meal provided in the university canteen. Moreover, our findings confirm the possibility of nutrient deficiency among the students, as the nutritional content of the canteen menu was below the RDA per meal (Table 2). These findings point toward the necessity for improving the nutritional content of the canteen menu.

3.2.3. Food Consumption Pattern

Lower nutrient intake is generally associated with a low consumption of healthy foods, such as fruits and vegetables, and a higher intake of oils and fats [35]; therefore, we examined the food consumption patterns of the observed students (Table 6).
Table 6 shows that the total daily food consumption of observed students was estimated as 957.1 g/capita/day: 1039.2 for men and 856.8 g/capita/day for women. Generally, rice, vegetables, and milk were the main contributors to the daily food consumption of both men and women. Sweet beverages were the second-highest food group, contributing to the total average consumption by 2.96–11.29%, but the consumption was significantly higher in men. In contrast, fruits, which were among the top five food groups, were consumed more by the female students, representing a 3.60–10.13% contribution to the total food consumption, but the difference was not statistically significant.
e.
Rice (cereals) and instant noodles consumption
Average rice consumption (g/day) was 327.9 ± 118.7 (Table 5). This study found that the average daily rice consumption of the students was comparable to those of previous case studies among adults living in the capital city of Jakarta [37] and the Padang city of West Sumatera [81], but higher than that of the Indonesian population (~265 g/day) [82]. Generally, rice consumption in Indonesia has decreased over the last three decades [82,83]. As shown in Table 5, rice products are the main source of dietary fiber, and many vitamins and minerals such as calcium and iron [84]. The current declining trend in rice consumption implies a possible deficiency in these essential nutrients.
According to previous Indonesian studies, the trend of declining rice consumption is partly due to the increasing consumption of instant noodles [85,86]. Accordingly, we found that noodles and instant noodles were among the students’ top ten most consumed food groups. With an average consumption (g/day) of 51.0 ± 73.8 and 33.2 ± 39.4, noodles and instant noodles represent 2.45–7.26% and 2.26–5.28% of total consumption, respectively. Notably, male students consumed more noodles whereas female students consumed more instant noodles. Instant noodle consumption is relatively high among the Asian population, making this food group one of the main sources of total energy intake and carbohydrates, followed by rice, and sources of fat [87,88,89]. Similarly, in the present study, instant noodles contributed to 8.7–14% of the total energy intake and 8.7–15.3% of the carbohydrate intake of the observed students, second only to rice. We also found that the instant noodles food group was the second most common fat source after the oils and fats group. This finding may explain the fat disproportion in the PFC ratio among the observed female students.
Although the contribution of instant noodle consumption to increasing health risk factors remains debatable [90,91], a survey on health and nutrition reported an increased prevalence of cardiometabolic risk factors associated with a high intake of Western fast foods and instant noodles [92]. Later in life, instant noodle consumption alone might contribute to higher cardiometabolic risk and abdominal obesity in women, independent of overall dietary patterns [88,92]. Many studies have also found a high salt content in the seasoning of instant noodles [87,88,89]. Noodles, the third most consumed food group among male students, consisted of noodle dishes that contained excessive seasonings, such as mie bakso (noodle with meatball soup) and mie ayam (chicken noodle) [89,93,94]. This suggests that students’ consumption of noodles and instant noodles may lead to increased seasoning consumption, and thus, to higher salt intake.
f.
Consumption of sweet beverages
Sugar consumption observed in this study ranged from 6.8 to 14.4 g/day. These values were significantly lower than the daily intake of young adults in the US, which reached 66.8–94 g/day [95]. In the present study, the students’ sugar intake was lower than the Indonesian average of 25.6 g/day [37]; however, this difference may be due to our calculation of sugar consumption, which excluded sugar content from sweet beverages and snacks. Many studies have reported that high sugar intake was attributed to the high consumption of sweetened or carbonated beverages [37,80,96]. A recent global study also reported that beverages were the main contributor to total sugar intake, with an average intake of 49 g/day from sugar-sweetened beverages, which is far higher than the optimal intake level of 3 g/day [5]. It should be noted that the students’ average consumption of the sweet beverages group (g/day) was 76.1 ± 85.2, exceeding the global average, and making it the second most consumed food group after rice (2.96–11.29%). Considering the sugar content in sweet beverages, the actual total sugar intake in the present study may be higher than the average of 11 g/day, suggesting that the sugar intake might be high, particularly among male students. Excessive sugar consumption has been associated with obesity and cardiovascular diseases [97,98,99,100]. In this regard, a reduction in free sugar intake to 25–37.5 g/day (6–9 teaspoons) has been advised [100]. The WHO also recommends that free sugar intake be less than 10% of the total energy intake or 50 g/day (12.5 teaspoons) to prevent health risks [101].
g.
Consumption of poultry products, fruits, vegetables, and milk
The observed students consumed various animal proteins, with chicken (45.8 g/day) and eggs (42.9 g/day) identified as the major sources at an average of 9.27% of the total food consumption, followed by beef (21.9 g/day), and fish (19.0 g/day) (4.36% contribution); however, as shown in Table 4, the average total protein intake (45.6 g/day) was below the recommended amount of 57 g/day [82], which might partially explain the high prevalence of micronutrient inadequacies among the observed students. Low protein intake, particularly from animal proteins, has been associated with a deficiency of blood-forming nutrients, such as iron, folic acid, vitamin B6, and vitamin B12 [102]. A previous study reported that animal proteins contain highly bioavailable heme iron and can increase non-heme iron absorption [103]. An insufficient amount of these micronutrients may lead to an increased risk of anemia [104], heart disease [105], or aging-related cognitive problems [106,107]. In Indonesia, iron-deficiency anemia is one of the top five leading causes of years lived with disability (YLDs) [6].
An increased intake of vegetables and fruits can compensate for the deficit in animal protein [108]. Diets with a high consumption of vegetables and fruits have also been identified to prevent NCDs risks [5]. Nevertheless, we also found that the students’ intake of vegetables and fruits was inadequate, regardless of the most consumed food groups. Although the health benefits of fruit and vegetable consumption are well known [109], and a considerable amount of work has been attempted to improve their consumption, the intake remains low globally [108,110]. The present study estimated the students’ consumption of vegetables and fruits (g/day) as 62.6 ± 36.3 and 59.5 ± 84.2, respectively, which is 20% less than the RDA level for Indonesian adults [56]. Our finding is in line with a national survey that reported low consumption of vegetables and fruits among the Indonesian population [111]. A global review revealed that interventions to increase fruit and vegetable intake more often targeted fruits, and typically reported greater success in fruit consumption than in vegetables [112]. As a consequence, vegetable intake is lower than that of fruits, regardless of the improved health benefits from high consumption due to their protein and fiber content [109]. Furthermore, most interventions aimed at increasing vegetable intake in Indonesia and elsewhere have focused on younger children [112,113].
The students’ average milk consumption (g/day) was estimated at 62.5 ± 108.6, which is higher than that of the Indonesian population [82]. Milk contributes to the supply of calcium, vitamin A, and vitamin D [15,114]; thus, the low calcium intake of the observed students may be attributed to their low milk consumption. In the last decade, Indonesian milk consumption has increased, which is attributed to the efforts of the Indonesian government to promote its consumption among students [113]; however, the average consumption is still lower than that of students in other countries [66,75,77,114]. According to a previous report, the milk intake of Indonesian adults aged 25 and older was lower than that of Asians and the global average [8].

4. Conclusions and Recommendations

This study demonstrated that most university students had lunch meals prepared away from home, with just over half of them having it in the university canteen. Given the importance of lunch as a main meal of the day, this finding suggests that the university canteens’ menus may significantly influence students’ dietary intake; however, it was found that the nutritional value of most menus was deficient in both macro- and micronutrients, and high in sodium and salt content, at almost twice that of the RDA. The BMI indicator showed the problem of the double burden of malnutrition among the observed students.
Further examination of the daily nutrient intake indicated that none of the observed students met the recommended daily nutrient intake. Except for sodium and vitamin K, none of the micronutrients, such as fiber, potassium, and iron, were taken adequately. Male students tended to have a higher energy intake than female students, with rice as the main contributor to the calorie intake (30.6–36.3%), followed by instant noodles (8.7–14.0%), oil and fats (10.1–12.0%), and chicken (4.7–5.1%). Further analysis of the energy ratio from PFC indicated that carbohydrates mainly contributed to the total energy, whereas protein constituted the lowest in the PFC ratio. We also found that the fat proportion of the PFC ratio among female students was higher than that of male students, and the mean total calories from fat for women was greater than the recommended amount of 30% or less. The amount of salt intake was above the RDA level, with seasoning being a major contributor to the total salt intake of the observed students. Other food groups that contributed to the total salt intake included eggs, dairy, noodles, bread, beef, and snacks. The food consumption evaluation demonstrated that most students had unhealthy eating patterns, including a high consumption of sweet beverages, instant noodles, seasonings, snacks, and a low intake of fruits, vegetables, animal proteins, legumes, and milk.
Findings from this study indicated that the lack of nutrients in most menus of university canteens might lead to nutrient deficiency among the students. Given the important role of university canteens as a contributor to the consumption of the main meal prepared away from home (i.e., lunch), optimizing the nutritional profile of canteen menus opens a window of opportunity to improve students’ diets. For example, serving a cooked meal with more vegetables during lunchtime is an efficient way to improve the diet of canteen customers [115]. A reduction in salt intake from the canteen menu can be achieved by gradually reducing the amount of salt added to foods by the cooks. Furthermore, labeling based on nutrient profiling is a promising way to introduce an informed choice among students [116], thus instigating healthy choices of food items [117]. Awareness-building, health-promoting campaigns are also needed to encourage students to consume more vegetables and fruits, and less food with a high salt content. Moreover, although the average sugar consumption of students was still lower than the optimum value set by the WHO, reducing its intake could be associated with improved health conditions. Considering that beverages were identified as the main contributors to sugar intake, it is sensible to advocate for students, particularly men, to minimize the consumption of beverages with added sugars. Furthermore, in addition to nutrition education, programs that support physical activity need to be introduced. Health education should work with campus officials to develop an environment that stimulates physical activity. For example, by closing the campus to vehicular traffic during the day, adding wide sidewalks, and building walking and bicycle pathways. Finally, universities provide opportunities to positively influence many young adults’ nutrition and healthy behaviors in an educational setting. Thus, efforts toward nutrition improvement should be accompanied by increasing efforts to provide well-planned advocacy that incorporates nutrition education in the academic setting.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/nu14091911/s1, Table S1: The number and percentage of students’ meal pattern in five consecutive weekdays (n = 333).

Author Contributions

Conceptualization, Y.S. and T.A.; methodology, Y.S. and T.A.; software, Y.S.; validation, Y.S. and T.A.; formal analysis, Y.S.; investigation, Y.S.; resources, Y.S.; data curation, Y.S.; writing—original draft preparation, Y.S.; writing—review and editing, Y.S., Y.Y.S.R. and T.A.; visualization, Y.S.; supervision, T.A.; project administration, T.A.; funding acquisition, T.A. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the Japan Society for the Promotion of Science (JSPS) KAKENHI, Grant Number 19KK0166.

Institutional Review Board Statement

This study received ethical approval from the Health Research Ethics Commission of the University of Tokyo (approval no. H-190905001).

Informed Consent Statement

Informed consent was obtained from all participants involved in the study.

Data Availability Statement

Data will be made available upon request by author Yui Sakai.

Acknowledgments

The authors would like to thank Associate Shoko Konishi, The University of Tokyo, and Makiko Sekiyama, researcher of the National Agriculture and Food Research Organization, for advice on conducting this research. The authors would like to thank Armansyah Halomoan Tambunan, Bogor Agricultural University, for supporting their stay in Indonesia. The authors would also like to thank Kenta Itakura, ScanX Co., Ltd., for supporting the analysis and checking this manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Stanaway, J.D.; Afshin, A.; Gakidou, E.; Lim, S.S.; Abate, D.; Abate, K.H.; Abbafati, C.; Abbasi, N.; Abbastabar, H.; Abd-Allah, F.; et al. Global, Regional, and National Comparative Risk Assessment of 84 Behavioural, Environmental and Occupational, and Metabolic Risks or Clusters of Risks for 195 Countries and Territories, 1990–2017: A Systematic Analysis for the Global Burden of Disease Study 2017. Lancet 2018, 392, 1923–1994. [Google Scholar] [CrossRef] [Green Version]
  2. Forouzanfar, M.H.; Alexander, L.; Anderson, H.R.; Bachman, V.F.; Biryukov, S.; Brauer, M.; Burnett, R.; Casey, D.; Coates, M.M.; Cohen, A.; et al. Global, Regional, and National Comparative Risk Assessment of 79 Behavioural, Environmental and Occupational, and Metabolic Risks or Clusters of Risks in 188 Countries, 1990–2013: A Systematic Analysis for the Global Burden of Disease Study 2013. Lancet 2015, 386, 2287–2323. [Google Scholar] [CrossRef] [Green Version]
  3. Eggersdorfer, M.; Akobundu, U.; Bailey, R.L.; Shlisky, J.; Beaudreault, A.R.; Bergeron, G.; Blancato, R.B.; Blumberg, J.B.; Bourassa, M.W.; Gomes, F.; et al. Hidden Hunger: Solutions for America’s Aging Populations. Nutrients 2018, 10, 1210. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Péter, S.; Eggersdorfer, M.; Van Asselt, D.; Buskens, E.; Detzel, P.; Freijer, K.; Koletzko, B.; Kraemer, K.; Kuipers, F.; Neufeld, L.; et al. Selected Nutrients and Their Implications for Health and Disease across the Lifespan: A Roadmap. Nutrients 2014, 6, 6076–6094. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Afshin, A.; Sur, P.J.; Fay, K.A.; Cornaby, L.; Ferrara, G.; Salama, J.S.; Mullany, E.C.; Abate, K.H.; Abbafati, C.; Abebe, Z.; et al. Health Effects of Dietary Risks in 195 Countries, 1990–2017: A Systematic Analysis for the Global Burden of Disease Study 2017. Lancet 2019, 393, 1958–1972. [Google Scholar] [CrossRef] [Green Version]
  6. IHME GBD Profile: Indonesia. In: Global Burden of Diseases, Injuries, and Risk Factors Study 2010. Available online: http://www.healthmetricsandevaluation.org (accessed on 28 March 2022).
  7. Kementerian Kesehatan Republik Indonesia. Hasil Utama Riskesdas 2018 (Basic Health Survey 2018); Kementerian Kesehatan RI: Jakarta, Indonesia, 2018. [Google Scholar]
  8. Global Nutrition Report Indonesia. In 2018 Nutrition Country Profile. Available online: https://globalnutritionreport.org/resources/nutrition-profiles/asia/south-eastern-asia/indonesia/ (accessed on 29 March 2022).
  9. Doak, C.M.; Adair, L.S.; Bentley, M.; Monteiro, C.; Popkin, B.M. The Dual Burden Household and the Nutrition Transition Paradox. Int. J. Obes. 2005, 29, 129–136. [Google Scholar] [CrossRef] [Green Version]
  10. Nugent, R.; Levin, C.; Hale, J.; Hutchinson, B. Economic Effects of the Double Burden of Malnutrition. Lancet 2020, 395, 156–164. [Google Scholar] [CrossRef]
  11. World Bank. The Double Burden of Malnutrition in Indonesia; World Bank: Jakarta, Indonesia, 2013. [Google Scholar]
  12. Lachat, C.K.; Huybregts, L.F.; Roberfroid, D.A.; Van Camp, J.; Remaut-De Winter, A.M.E.; Debruyne, P.; Kolsteren, P.W. Nutritional Profile of Foods Offered and Consumed in a Belgian University Canteen. Public Health Nutr. 2009, 12, 122–128. [Google Scholar] [CrossRef] [Green Version]
  13. Kementerian Kesehatan Republik Indonesia. Profil Kesehatan Indonesia Tahun 2019; Kementerian Kesehatan RI: Jakarta, Indonesia, 2020; ISBN 9788578110796. [Google Scholar]
  14. Huang, T.T.K.; Shimel, A.; Lee, R.E.; Delancey, W.; Strother, M.L. Metabolic Risks among College Students: Prevalence and Gender Differences. Metab. Syndr. Relat. Disord. 2007, 5, 365–371. [Google Scholar] [CrossRef]
  15. Irazusta, A.; Hoyos, I.; Irazusta, J.; Ruiz, F.; Díaz, E.; Gil, J. Increased Cardiovascular Risk Associated with Poor Nutritional Habits in First-Year University Students. Nutr. Res. 2007, 27, 387–394. [Google Scholar] [CrossRef]
  16. Freedman, D.S.; Khan, L.K.; Dietz, W.H.; Srinivasan, S.R.; Berenson, G.S. Relationship of Childhood Obesity to Coronary Heart Disease Risk Factors in Adulthood: The Bogalusa Heart Study. Pediatrics 2001, 108, 712–718. [Google Scholar] [CrossRef] [PubMed]
  17. Engeland, A.; Bjørge, T.; Tverdal, A.; Søgaard, A.J. Obesity in Adolescence and Adulthood and the Risk of Adult Mortality. Epidemiology 2004, 15, 79–85. [Google Scholar] [CrossRef] [PubMed]
  18. Han, J.L.; Dinger, M.K.; Hull, H.R.; Randall, N.B.; Heesch, K.C.; Fields, D.A. Changes in Women’s Physical Activity during the Transition to College. Am. J. Health Educ. 2008, 39, 194–199. [Google Scholar] [CrossRef] [Green Version]
  19. Bray, S.R.; Born, H.A. Transition to University and Vigorous Physical Activity: Implications for Health and Psychological Well-Being. J. Am. Coll. Health 2004, 52, 181–188. [Google Scholar] [CrossRef] [PubMed]
  20. Barić, I.C.; Šatalić, Z.; Lukeǐć, Ž. Nutritive Value of Meals, Dietary Habits and Nutritive Status in Croatian University Students According to Gender. Int. J. Food Sci. Nutr. 2003, 54, 473–484. [Google Scholar] [CrossRef] [PubMed]
  21. Betts, N.M.; Amos, R.J.; Keim, K.; Peters, P.; Stewart, B. Ways Young Adults View Foods. J. Nutr. Educ. Behav. 1997, 29, 73–79. [Google Scholar] [CrossRef]
  22. Glanz, K.; Basil, M.D.; Maibach, E.W.; Goldberg, J.P. Why Americans Eat What They Do: Taste, Nutrition, Cost, Convenience, and Weight Control Concerns as Influences on Food Consumption. Artic. J. Am. Diet. Assoc. 1998, 98, 1118–1126. [Google Scholar] [CrossRef]
  23. Lappalainen, R.; Kearney, J.; Gibney, M. A Pan EU Survey of Consumer Attitudes to Food, Nutrition and Health: An Overview. Food Qual. Prefer. 1998, 9, 467–478. [Google Scholar] [CrossRef]
  24. Steptoe, A.; Wardle, J.; Cui, W.; Bellisle, F.; Zotti, A.M.; Baranyai, R.; Sanderman, R. Trends in Smoking, Diet, Physical Exercise, and Attitudes toward Health in European University Students from 13 Countries, 1990–2000. Prev. Med. 2002, 35, 97–104. [Google Scholar] [CrossRef] [Green Version]
  25. Guthrie, J.; Lin, B.; Frazao, E. Role of Food Prepared Away from Home in the American Diet, 1977–1978 versus 1994–1996: Changes and Consequences. J. Nutr. Educ. Behav. 2002, 34, 140–150. [Google Scholar] [CrossRef]
  26. Orfanos, P.; Naska, A.; Trichopoulos, D.; Slimani, N.; Ferrari, P.; Van Bakel, M.; Deharveng, G.; Overvad, K.; Tjønneland, A.; Halkjær, J.; et al. Eating out of Home and Its Correlates in 10 European Countries. The European Prospective Investigation into Cancer and Nutrition (EPIC) Study. Public Health Nutr. 2007, 10, 1515–1525. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Kant, A.K.; Graubard, B.I. Eating out in America, 1987–2000: Trends and Nutritional Correlates. Prev. Med. 2004, 38, 243–249. [Google Scholar] [CrossRef] [PubMed]
  28. Mccrory, M.A.; Fuss, P.J.; Saltzman, E.; Roberts, S.B. Dietary Determinants of Energy Intake and Weight Regulation in Healthy Adults. J. Nutr. 2000, 130, 276–279. [Google Scholar] [CrossRef] [PubMed]
  29. Satia, J.A.; Galanko, J.A.; Siega-Riz, A.M. Eating at Fast-Food Restaurants Is Associated with Dietary Intake, Demographic, Psychosocial and Behavioural Factors among African Americans in North Carolina. Public Health Nutr. 2004, 7, 1089–1096. [Google Scholar] [CrossRef]
  30. Stubbs, J.; Ferres, S.; Horgan, G. Energy Density of Foods: Effects on Energy Intake. Crit. Rev. Food Sci. Nutr. 2000, 40, 481–515. [Google Scholar] [CrossRef]
  31. Diliberti, N.; Bordi, P.L.; Conklin, M.T.; Roe, L.S.; Rolls, B.J. Increased Portion Size Leads to Increased Energy Intake in a Restaurant Meal. Obes. Res. 2004, 12, 562–568. [Google Scholar] [CrossRef]
  32. Levitsky, D.A.; Youn, T. Human Nutrition and Metabolism The More Food Young Adults Are Served, the More They Overeat. J. Nutr. 2004, 134, 2546–2549. [Google Scholar] [CrossRef]
  33. Rolls, B.J.; Morris, E.L.; Roe, L.S. Portion Size of Food Affects Energy Intake in Normal-Weight and Overweight Men and Women. Am. J. Clin. Nutr. 2002, 76, 1207–1213. [Google Scholar] [CrossRef]
  34. The Keystone Center. The Keystone Forum on Away-From-Home Foods: Opportunities for Preventing Weight Gain and Obesity; The Keystone Center: Washington, DC, USA, 2006. [Google Scholar]
  35. Matsumoto, M.; Saito, A.; Okada, C.; Okada, E.; Tajima, R.; Takimoto, H. Consumption of Meals Prepared Away from Home Is Associated with Inadequacy of Dietary Fiber, Vitamin C and Mineral Intake among Japanese Adults: Analysis from the 2015 National Health and Nutrition Survey. Nutr. J. 2021, 20, 40. [Google Scholar] [CrossRef]
  36. Al Jauziyah, S.S.N.; Tsani, A.F.A.; Purwanti, R. Pengetahuan gizi dan cara mendapatkan makanan berhubungan dengan kebiasaan makan mahasiswa universitas diponegoro. J. Nutr. Coll. 2021, 10, 72–81. [Google Scholar] [CrossRef]
  37. Andarwulan, N.; Madanijah, S.; Briawan, D.; Anwar, K.; Bararah, A.; Saraswati; Średnicka-Tober, D. Food Consumption Pattern and the Intake of Sugar, Salt, and Fat in the South Jakarta City—Indonesia. Nutrients 2021, 13, 1289. [Google Scholar] [CrossRef] [PubMed]
  38. Bell, A.C.; Swinburn, B.A. What Are the Key Food Groups to Target for Preventing Obesity and Improving Nutrition in Schools? Eur. J. Clin. Nutr. 2004, 58, 258–263. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  39. Utter, J.; Scragg, R.; Schaaf, D.; Ni Mhurchu, C. Relationships between Frequency of Family Meals, BMI and Nutritional Aspects of the Home Food Environment among New Zealand Adolescents. Int. J. Behav. Nutr. Phys. Act. 2008, 5, 50. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  40. Prell, H.C.; Berg, M.C.; Jonsson, L.M.; Lissner, L. A School-Based Intervention to Promote Dietary Change. J. Adolesc. Health 2005, 36, 529–530. [Google Scholar] [CrossRef] [PubMed]
  41. Lopez-Frias, M.; Nestares, T.; Ianez, I.; de la Higuera, M.; Mataix, J.; Llopis, J. Nutrient Intake Adequacy in Schoolchildren from a Mediterranean Area (Southern Spain). Influence of the Use of the School Canteen. Int. J. Vitam. Nutr. Res. 2005, 75, 312–319. [Google Scholar] [CrossRef] [PubMed]
  42. Cholidah, R.; Widiastuti, I.A.E.; Nurbaiti, L.; Priyambodo, S. Gambaran Pola Makan, Kecukupan Gizi, Dan Status Gizi Mahasiswa Fakultas Kedokteran Universitas Mataram, Nusa Tenggara Barat. Intisari Sains Medis 2020, 11, 416. [Google Scholar] [CrossRef]
  43. Arraniri, M.; Desmawati, D.; Aprilia, D. Hubungan Kebiasaan Sarapan Dan Asupan Kalori Dengan Persentase Lemak Tubuh Pada Mahasiswa Prodi Profesi Dokter Fakultas Kedokteran Universitas Andalas Angkatan 2013–2015. J. Kesehat. Andalas 2017, 6, 265. [Google Scholar] [CrossRef] [Green Version]
  44. Christy, S.; Khusun, H.; Chandra, D.N.; Sunardi, D. Nutrition Fact Panel Use and Its Association to Diet Quality among University Students in Universitas Indonesia. J. Gizi Dan Pangan 2021, 16, 139–148. [Google Scholar] [CrossRef]
  45. Cornia, I.G.; Adriani, M. Hubungan Antara Asupan Zat Gizi Makro Dan Status Gizi Dengan Kebugaran Jasmani Mahasiswa UKM Taekwondo. Amerta Nutr. 2018, 2, 90–96. [Google Scholar] [CrossRef] [Green Version]
  46. Elnovriza, D.; Bachtiar, N. Hubungan Pengetahuan Dan Asupan Zat Gizi Dengan Status Gizi Mahasiswa Di Asrama Universitas Andalas. J. Kesehat. Masy. 2009, 4, 21–26. [Google Scholar]
  47. Syihab, S.F.; Sultoni, K.; Suherman, A. Association between Types of Domicile and Nutritional Status of College Students in Indonesia. In Proceedings of the 1st International Conference on Education, Social Sciences and Humanities, Padang, Indonesia, 13–16 March 2019; Atlantic Press: Amsterdam, The Netherlands, 2019; pp. 699–704. [Google Scholar]
  48. Helmyati, S.; Amalia, A.W.; Sholihah, H.; Kurnia, M.; Kiasaty, S.; Wigati, M.; Rohana, A.J.; Ishak, W.R.W.; Hamid, N.A.; Malik, V.; et al. The Pattern of Carbohydrate Intake among University Students from Eastern Indonesia Tends to Be Diverse. Curr. Nutr. Food Sci. 2021, 17, 867–875. [Google Scholar] [CrossRef]
  49. Sakamoto, M. Saline Drinking Water and Salt in Diet: An Approximate Picture of the Situation in a Coastal Area of Southeastern Bangladesh. Int. J. Disaster Risk Sci. 2017, 8, 109–120. [Google Scholar] [CrossRef] [Green Version]
  50. Persatuan Ahli Gizi Indonesia (PERSAGI). Food Composition Table—Indonesia (Daftar Komposisi Bahan Makanan); Direktorat Gizi Departemen Kesehatan R.I. Penerbit Bhratara: Jakarta, Indonesia, 2005. [Google Scholar]
  51. Nutrient Data Laboratory Agricultural Research Service US Department of Agriculture (USDA). National Nutrient Database for Standard Reference; US Department of Agriculture: Washington, DC, USA, 2015.
  52. Krisdinamurtirin; Mahmud, M.K.; Tarwotjo, I. Daftar Faktor Konversi Berat Bahan Makanan; Puslitbang Gizi: Bogor, Indonesia, 1974. [Google Scholar]
  53. Centers for Disease Control and Prevention. Defining Adult Overweight & Obesity; Centers for Disease Control and Prevention: Atlanta, GA, USA, 2022. [Google Scholar]
  54. WHO. WHO Guideline: Physical Activity; WHO: Geneva, Switzerland, 2020. [Google Scholar]
  55. Kementerian Kesehatan Indonesia (Ministry of Health of Indonesia). Buku Poto Makanan; Kementerian Kesehatan Indonesia (Ministry of Health of Indonesia): Jakarta, Indonesia, 2004.
  56. MoH of Indonesia Permenkes RI No. 75/2013 2013. Available online: https://peraturan.bpk.go.id/Home/Details/139226/permenkes-no-75-tahun-2013 (accessed on 22 March 2022).
  57. National Library of Medicine Nutrition Standards and Meal Requirements for National School Lunch and Breakfast Programs: Phase I. Proposed Approach for Recommending Revisions. Available online: https://www.ncbi.nlm.nih.gov/books/NBK214994/ (accessed on 22 March 2022).
  58. Putra, A.; Syafira, D.N.; Maulyda, S.; Cahyati, W.H. Kebiasaan Sarapan Pada Mahasiswa Aktif. HIGEIA/J. Public Health Res. Dev. 2018, 2, 577–586. [Google Scholar] [CrossRef] [Green Version]
  59. Fujii, H.; Nakano, T.; Muto, T.; Aikawa, K. Skipping Breakfast Is Associated with Poor Vegetable Intake among College Students in Japan. Dokkyo J. Med. Sci. 2010, 37, 47–54. [Google Scholar]
  60. He, F.J.; MacGregor, G.A. Reducing Population Salt Intake Worldwide: From Evidence to Implementation. Prog. Cardiovasc. Dis. 2010, 52, 363–382. [Google Scholar] [CrossRef]
  61. WHO. Sodium Intakes around the World; WHO: Geneva, Switzerland, 2007. [Google Scholar]
  62. WHO Stunting, Wasting, Overweight and Underweight. Available online: https://apps.who.int/nutrition/landscape/help.aspx?menu=0&helpid=391&lang=EN (accessed on 30 March 2022).
  63. Achmad, A.; Pramestutie, H.R.; Kusumawardani, A.; Sutama, R.P.J. The Effectiveness of Counseling on Knowledge and Compliance Patients of Diabetes Mellitus Is Measured through HbA1c. Indian J. Public Health Res. Dev. 2019, 10, 662–667. [Google Scholar] [CrossRef]
  64. Sultana, M.; Hasan, T.; Shaheen, N. Dietary Diversity and Nutritional Status of Female Residential Students in University of Dhaka, Bangladesh. Indian J. Public Health Res. Dev. 2019, 10, 644–649. [Google Scholar] [CrossRef]
  65. Schwinger, C.; Chandyo, R.K.; Ulak, M.; Hysing, M.; Shrestha, M.; Ranjitkar, S.; Strand, T.A. Prevalence of Underweight, Overweight, and Obesity in Adults in Bhaktapur, Nepal in 2015–2017. Front. Nutr. 2020, 7, 171. [Google Scholar] [CrossRef]
  66. Sanlier, N.; Unusan, N. Dietary Habits and Body Composition of Turkish University Students. Pak. J. Nutr. 2007, 6, 332–338. [Google Scholar] [CrossRef] [Green Version]
  67. Neslişah, R.; Emine, A.Y. Energy and Nutrient Intake and Food Patterns among Turkish University Students. Nutr. Res. Pract. 2011, 5, 117–123. [Google Scholar] [CrossRef] [Green Version]
  68. Soriano, J.; Molto, J.; Manes, J. Dietary Intake and Food Pattern Among University. Nutr. Res. 2000, 20, 1249–1258. [Google Scholar] [CrossRef]
  69. Centers for Disease Control and Prevention (CDC). Prevalence of Physical Inactivity during Leisure Time among Overweight Persons--Behavioral Risk Factor Surveillance System, 1994. MMWR—Morb. Mortal. Wkly. Rep. 1996, 45, 185–188. [Google Scholar]
  70. Ladabaum, U.; Mannalithara, A.; Myer, P.A.; Singh, G. Obesity, Abdominal Obesity, Physical Activity, and Caloric Intake in US Adults: 1988 to 2010. Am. J. Med. 2014, 127, 717–727.e12. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  71. Guthold, R.; Stevens, G.A.; Riley, L.M.; Bull, F.C. Worldwide Trends in Insufficient Physical Activity from 2001 to 2016: A Pooled Analysis of 358 Population-Based Surveys with 1·9 Million Participants. Lancet Glob. Health 2018, 6, e1077–e1086. [Google Scholar] [CrossRef] [Green Version]
  72. Ng, S.W.; Popkin, B.M. Time Use and Physical Activity: A Shift Away from Movement across the Globe. Obes. Rev. 2012, 13, 659–680. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  73. Hubbard, V.S. Commentary: Lessons Learned from the Development of Dietary Reference Intakes and Dietary Guidelines among Different Countries. Asia Pac. J. Clin. Nutr. 2008, 17, 391–393. [Google Scholar]
  74. Lipoeto, N.I.; Geok Lin, K.; Angeles-Agdeppa, I. Food Consumption Patterns and Nutrition Transition in South-East Asia. Public Health Nutr. 2013, 16, 1637–1643. [Google Scholar] [CrossRef] [Green Version]
  75. Gittelsohn, J.; Wolever, T.M.S.; Harris, S.B.; Harris-Giraldo, R.; Hanley, A.J.G.; Zinman, B. Specific Patterns of Food Consumption and Preparation Are Associated with Diabetes and Obesity in a Native Canadian Community. J. Nutr. 1998, 128, 541–547. [Google Scholar] [CrossRef] [Green Version]
  76. Lewis, N.M.; Filips, J.; Waitz-Hill, M.M. Nutritional Assessment of Breast Cancer Risk in Young Women. J. Fam. Cons. Sci. 1999, 91, 93–98. [Google Scholar]
  77. Hendricks, K.M.; Herbold, N.H. Diet, Activity, and Other Health-Related Behaviors in College-Age Women. Nutr. Rev. 1998, 56, 65–75. [Google Scholar] [CrossRef]
  78. Amarra, S.; Khor, G.L. Sodium Consumption in Southeast Asia: An Updated Review of Intake Levels and Dietary Sources in Six Countries. In Preventive Nutrition: The Comprehensive Guide for Health Professionals; Springer: Berlin/Heidelberg, Germany, 2015; pp. 765–792. [Google Scholar] [CrossRef]
  79. Tuan, N.T.; Adair, L.S.; Suchindran, C.M.; Ka, H.; Popkin, B.M. The Association between Body Mass Index and Hypertension Is Different between East and Southeast Asians. Am. J. Clin. Nutr. 2009, 89, 1905–1912. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  80. Atmarita, A.; Jahari, A.B.; Sudikno, S.; Moesijanti, S. Asupan Gula, Garam, Dan Lemak Di Indonesia: Analisis Survei Konsumsi Makanan Individu (SKMI) 2014. Gizi Indones. 2016, 39, 1–14. [Google Scholar] [CrossRef]
  81. Lipoeto, N.I.; Agus, Z.; Oenzil, F.; Wahlqvist, M.L.; Wattanapenpaiboon, N. Dietary Intake and the Risk of Coronary Heart Disease among the Coconut-Consuming Minangkabau in West Sumatra, Indonesia. Asia Pac. J. Clin. Nutr. 2004, 13, 377–384. [Google Scholar] [PubMed]
  82. BKP. Direktori Perkembangan Konsumsi Pangan Tahun 2021; BKP: Bekasi, Indonesia, 2021. [Google Scholar]
  83. BPS. Rata-Rata Konsumsi per Kapita Seminggu Beberapa Macam Bahan Makanan Penting, 2007–2021; BPS: Jakarta, Indonesia, 2021. [Google Scholar]
  84. Imaeda, N.; Tokudome, Y.; Ikeda, M.; Kitagawa, I.; Fujiwara, N.; Tokudome, S. Foods Contributing to Absolute Intake and Variance in Intake of Selected Vitamins, Minerals and Dietary Fiber in Middle-Aged Japanese. J. Nutr. Sci. Vitaminol. 1999, 45, 519–532. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  85. Kartiko Sari, I.; Oktaviana, D.; Mulyawati Utari, D. A Nutrition Survey and Food Patterns in Predominantly Middle-Income Housewives in Jakarta. Asian J. Diet. 2019, 1, 4–11. [Google Scholar]
  86. Maulida, R.; Nanishi, K.; Green, J.; Shibanuma, A.; Jimba, M. Food-Choice Motives of Adolescents in Jakarta, Indonesia: The Roles of Gender and Family Income. Public Health Nutr. 2016, 19, 2760–2768. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  87. Farrand, C.; Charlton, K.; Crino, M.; Santos, J.; Rodriguez-Fernandez, R.; Ni Mhurchu, C.; Webster, J. Know Your Noodles! Assessing Variations in Sodium Content of Instant Noodles across Countries. Nutrients 2017, 9, 612. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  88. Shin, H.J.; Cho, E.; Lee, H.J.; Fung, T.T.; Rimm, E.; Rosner, B.; Manson, J.A.E.; Wheelan, K.; Hu, F.B. Instant Noodle Intake and Dietary Patterns Are Associated with Distinct Cardiometabolic Risk Factors in Korea. J. Nutr. 2014, 144, 1247–1255. [Google Scholar] [CrossRef]
  89. Ratnasari, D.K.; Wirawanni, Y. Gambaran Kebiasaan Konsumsi Mie Instan Pada Anak Usia 7–12 Tahun: Studi Di Sekolah Dasar Kanisius Tlogosari Kulon Semarang. J. Nutr. Coll. 2012, 1, 86–92. [Google Scholar] [CrossRef]
  90. Park, J.; Lee, J.S.; Jang, Y.A.; Chung, H.R.; Kim, J. A Comparison of Food and Nutrient Intake between Instant Noodle Consumers and Non-Instant Noodle Consumers in Korean Adults. Nutr. Res. Pract. 2011, 5, 443–449. [Google Scholar] [CrossRef]
  91. Lee, J.E.; Kim, J.H.; Son, S.J.; Ahn, Y.; Lee, J.; Park, C.; Lee, L.; Erickson, K.L.; Jung, I.K. Dietary Pattern Classifications with Nutrient Intake and Health-Risk Factors in Korean Men. Nutrition 2011, 27, 26–33. [Google Scholar] [CrossRef] [PubMed]
  92. Lee, K.-O.; Park, J.-W. A Rolling Sampling Design for the Korea National Health and Nutrition Examination Survey. Surv. Res. 2007, 8, 67–89. [Google Scholar]
  93. Andarwulan, N.; Nuraida, L.; Kesenja, R.; Gitapratiwi, D. Study on Free Glutamate Content in Indonesian Dish Menus to Determine the Source of Free Glutamate. In Proceedings of the 12th Asean Food Conference, Bangkok, Thailand, 16–18 June 2011; p. PF-278. [Google Scholar]
  94. Andarwulan, N.; Nuraida, L.; Hariyadi, P.; Madanijah, S.; Zulaikhah, I.; Gitapratiwi, D. Determination of Free Glutamate Source in the Indonesian Dish Menus. J. Mutu Pangan 2015, 2, 1–10. [Google Scholar]
  95. National Cancer Institute. Usual Dietary Intakes: U.S. Population, 2007–2010; National Cancer Institute: Bethesda, MD, USA, 2019. [Google Scholar]
  96. Sekiyama, M.; Roosita, K.; Ohtsuka, R. Snack Foods Consumption Contributes to Poor Nutrition of Rural Children in West Java, Indonesia. Asia Pac. J. Clin. Nutr. 2012, 21, 558–567. [Google Scholar] [PubMed]
  97. Palmer, J.R.; Boggs, D.A.; Krishnan, S.; Hu, F.B.; Singer, M.; Rosenberg, L. Sugar-Sweetened Beverages and Incidence of Type 2 Diabetes Mellitus in African American Women. Arch. Intern. Med. 2008, 168, 1487–1492. [Google Scholar] [CrossRef] [PubMed]
  98. Bachman, C.M.; Baranowski, T.; Nicklas, T.A. Is There an Association between Sweetened Beverages and Adiposity? Nutr. Rev. 2006, 64, 153–174. [Google Scholar] [CrossRef]
  99. Malik, V.S.; Schulze, M.B.; Hu, F.B. Intake of Sugar-Sweetened Beverages and Weight Gain: A Systematic Review. Am. J. Clin. Nutr. 2006, 84, 274–288. [Google Scholar] [CrossRef]
  100. Johnson, R.K.; Appel, L.J.; Brands, M.; Howard, B.V.; Lefevre, M.; Lustig, R.H.; Sacks, F.; Steffen, L.M.; Wylie-Rosett, J. Dietary Sugars Intake and Cardiovascular Health a Scientific Statement from the American Heart Association. Circulation 2009, 120, 1011–1020. [Google Scholar] [CrossRef]
  101. WHO. Guideline: Sugars Intake for Adults and Children; WHO: Geneva, Switzerland, 2018. [Google Scholar]
  102. Rodrigues, V.M.; Fernandes, A.C.; Bernardo, G.L.; Hartwell, H.; Martinelli, S.S.; Uggioni, P.L.; Cavalli, S.B.; Pacheco, R. Vegetable Consumption and Factors Associated with Increased Intake among College Students: A Scoping Review of the Last 10 Years. Nutrients 2019, 11, 1634. [Google Scholar] [CrossRef] [Green Version]
  103. Michaelsen, K.F.; Hoppe, C.; Roos, N.; Kaestel, P.; Stougaard, M.; Lauritzen, L.; Mølgaard, C.; Girma, T.; Friis, H. Choice of Foods and Ingredients for Moderately Malnourished Children 6 Months to 5 Years of Age. Food Nutr. Bull. 2009, 30, S343–S404. [Google Scholar] [CrossRef] [Green Version]
  104. Haas, J.D.; Brownlie, T., IV. Iron Deficiency and Reduced Work Capacity: A Critical Review of the Research to Determine a Causal Relationship. J. Nutr. 2001, 131, 676–690. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  105. Thomas, D.R. Vitamins in Aging, Health, and Longevity. Clin. Interv. Aging 2006, 1, 81–91. [Google Scholar] [CrossRef] [PubMed]
  106. Doets, E.L.; Ueland, P.M.; Tell, G.S.; Vollset, S.E.; Nygård, O.K.; Van’t Veer, P.; De Groot, L.C.P.G.M.; Nurk, E.; Refsum, H.; Smith, A.D.; et al. Interactions between Plasma Concentrations of Folate and Markers of Vitamin B12 Status with Cognitive Performance in Elderly People Not Exposed to Folic Acid Fortification: The Hordaland Health Study. Br. J. Nutr. 2014, 111, 1085–1095. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  107. Ter Borg, S.; Verlaan, S.; Hemsworth, J.; Mijnarends, D.M.; Schols, J.M.G.A.; Luiking, Y.C.; De Groot, L.C.P.G.M. Micronutrient Intakes and Potential Inadequacies of Community-Dwelling Older Adults: A Systematic Review. Br. J. Nutr. 2015, 113, 1195–1206. [Google Scholar] [CrossRef] [PubMed]
  108. Wang, X.; Ouyang, Y.; Liu, J.; Zhu, M.; Zhao, G.; Bao, W.; Hu, F.B. Fruit and Vegetable Consumption and Mortality from All Causes, Cardiovascular Disease, and Cancer: Systematic Review and Dose-Response Meta-Analysis of Prospective Cohort Studies. BMJ 2014, 349, g4490, Erratum in BMJ 2014, 349, g5472. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  109. Slavin, J.L.; Lloyd, B. Health Benefits of Fruits and Vegetables. Adv. Nutr. 2012, 3, 506–516. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  110. Fischer, C.G.; Garnett, T. Plates, Pyramids, and Planets—Developments in National Healthy and Sustainable Dietary Guidelines: A State of Play Assessment; FAO: Rome, Italy; University of Oxford: Oxford, UK, 2016; ISBN 9789251092224. [Google Scholar]
  111. Pengpid, S.; Peltzer, K. Prevalence of Overweight/Obesity and Central Obesity and Its Associated Factors among a Sample of University Students in India. Obes. Res. Clin. Pract. 2014, 8, e558–e570. [Google Scholar] [CrossRef]
  112. Appleton, K.M.; Hemingway, A.; Saulais, L.; Dinnella, C.; Monteleone, E.; Depezay, L.; Morizet, D.; Armando Perez-Cueto, F.J.; Bevan, A.; Hartwell, H. Increasing Vegetable Intakes: Rationale and Systematic Review of Published Interventions. Eur. J. Nutr. 2016, 55, 869–896. [Google Scholar] [CrossRef] [Green Version]
  113. Februhartanty, J. Nutrition Education: It Has Never Been an Easy Case for Indonesia. Food Nutr. Bull. 2005, 26, S267–S274. [Google Scholar] [CrossRef]
  114. Saito, A.; Okada, E.; Tarui, I.; Matsumoto, M.; Takimoto, H. The Association between Milk and Dairy Products Consumption and Nutrient Intake Adequacy among Japanese Adults: Analysis of the 2016 National Health and Nutrition Survey. Nutrients 2019, 11, 2361. [Google Scholar] [CrossRef] [Green Version]
  115. Roos, E.; Sarlio-Lähteenkorva, S.; Lallukka, T. Having Lunch at a Staff Canteen Is Associated with Recommended Food Habits. Public Health Nutr. 2004, 7, 53–61. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  116. Hammond, D.; Lillico, H.G.; Vanderlee, L.; White, C.M.; Reid, J.L. The Impact of Nutrition Labeling on Menus: A Naturalistic Cohort Study. Am. J. Health Behav. 2015, 39, 540–548. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  117. Azaïs-Braesco, V.; Goffi, C.; Labouze, E. Nutrient Profiling: Comparison and Critical Analysis of Existing Systems. Public Health Nutr. 2006, 9, 613–622. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Nutrients 14 01911 g001 550
Figure 1. Association between physical activity and body weight of observed students. * Based on body mass index (BMI; in kg/m2). Under 18.5: underweight, over 18.5 and under 25.0: normal weight and over 25.0: overweight. ** p < 0.05: weight status vs. the weekly hours of physical activity. Significant differences correspond to Student’s t-test with each category of weight status.
Figure 1. Association between physical activity and body weight of observed students. * Based on body mass index (BMI; in kg/m2). Under 18.5: underweight, over 18.5 and under 25.0: normal weight and over 25.0: overweight. ** p < 0.05: weight status vs. the weekly hours of physical activity. Significant differences correspond to Student’s t-test with each category of weight status.
Nutrients 14 01911 g001
Nutrients 14 01911 g002 550
Figure 2. Contribution of protein, fat, and carbohydrate to the total energy intake (%).
Figure 2. Contribution of protein, fat, and carbohydrate to the total energy intake (%).
Nutrients 14 01911 g002
Table
Table 1. The frequency of students’ dietary habits on five consecutive weekdays (n = 333).
Table 1. The frequency of students’ dietary habits on five consecutive weekdays (n = 333).
Meal SourcesFrequency (%)p Value
MenWomenAll
Self-catered13911
Prepared away from home
 Canteen533244*
 Eating outside294937*
Skipped meals6108
Gender difference for each variable was analyzed using ANOVA and the asterisks represent a p value < 0.05 that is considered statistically significant.
Table
Table 2. The mean nutrition content of the canteen menus.
Table 2. The mean nutrition content of the canteen menus.
NutrientsMean ± SDRDA per Meal *
MenWomen
Energy (kcal)539.0 ± 128.6908750
Protein (g)17.9 ± 6.020.718.7
Fat (g)13.7 ± 7.630.325.0
Carbohydrate (g)80.2 ± 19.9125.0103.0
Fiber (g)3.7 ± 3.812.710.7
Sodium (mg)924.1 ± 360.8500500
Potassium (mg)415.0 ± 266.115671567
Calcium (mg)57.0 ± 31.8367367
Magnesium (mg)51.0 ± 39.6117103
Phosphorus (mg)221.6 ± 82.7233.3233.3
Iron (mg)1.8 ± 1.04.38.7
Zinc (mg)2.2 ± 0.84.33.3
Copper (mg)0.3 ± 0.2300300
Manganese(mg)0.8 ± 0.30.80.6
Vitamin A (μg)99.4 ± 89.3200167
Vitamin D (μg)0.7 ± 0.85.05.0
Vitamin E (mg)2.0 ± 1.45.05.0
Vitamin K (μg)36.8 ± 20.5221.718.3
Vitamin B1 (mg)0.1 ± 0.10.470.37
Vitamin B2 (mg)0.2 ± 0.10.530.47
Niacin (mg)3.1 ± 2.254
Vitamin B6 (mg)0.3 ± 0.20.40.4
Vitamin B12 (μg)0.8 ± 1.90.80.8
Folic acid (μg)44.5 ± 22.7133.3133.3
Vitamin C (mg)7.6 ± 5.83025
Salt (g)2.4 ± 0.91.31.3
* Recommended Daily Allowance (Angka Kecukupan Gizi/AKG) [56].
Table
Table 3. Basic characteristics of students.
Table 3. Basic characteristics of students.
Gender (%)HeightWeightAverage of BMIWeight status (%) *PA **
(cm)(kg)Under WeightNormal WeightOver-Weight
Men61.5169.5 ± 4.467.2 ± 14.223.2 ± 4.318.843.837.55.9
Women38.5157.7 ± 6.052.4 ± 5.821.1 ± 2.410.090.00.03.9
All 165.0 ± 7.561.5 ± 13.422.4 ± 3.615.461.523.15.1
* Based on body mass index (BMI; in kg/m2). Under 18.5: underweight, over 18.5 and under 25.0: normal weight and over 25.0: overweight. ** The weekly hours of physical activity.
Table
Table 4. The mean daily nutrient intake and the percentage of students who met the RDA.
Table 4. The mean daily nutrient intake and the percentage of students who met the RDA.
NutrientsMenWomenAllDaily Nutrients Intake from Canteen Meals (%) *Students Met the RDA ** (%)
Energy (kcal)1693.3 ± 348.51393.0 ± 294.21558.7 ± 357.924.20.0
Protein (g)49.4 ± 11.640.9 ± 7.245.6 ± 10.721.411.5
Fat (g)51.7 ± 13.750.1 ± 14.351.0 ± 14.024.23.8
Carbohydrate (g)245.5 ± 52.8186.5 ± 37.4219.1 ± 55.024.40.0
Fiber (g)9.3 ± 4.17.2 ± 2.58.4 ± 3.620.60.0
Sodium (mg)2536.1 ± 912.21922.7 ± 623.82261.1 ± 852.423.496.2
Potassium (mg)1250.3 ± 387.71068.5 ± 277.91168.8 ± 354.621.20.0
Calcium (mg)219.5 ± 99.0221.0 ± 104.2220.2 ± 101.420.70.0
Magnesium (mg)132.5 ± 49.6110.9 ± 34.6122.8 ± 44.824.10.0
Phosphorus (mg)618.3 ± 163.3526.8 ± 131.3577.3 ± 156.523.023.1
Iron (mg)4.7 ± 1.23.6 ± 0.94.2 ± 1.223.80.0
Zinc (mg)6.2 ± 1.44.5 ± 1.15.4 ± 1.524.70.0
Copper (mg)0.8 ± 0.20.6 ± 0.10.7 ± 0.228.20.0
Manganese(mg)2.2 ± 0.51.6 ± 0.51.9 ± 0.628.138.5
Vitamin A (μg)269.4 ± 187.9249.1 ± 157.1260.3 ± 17517.67.7
Vitamin D (μg)1.9 ± 1.62.0 ± 2.42.0 ± 2.021.40.0
Vitamin E (mg)5.6 ± 1.75.2 ± 1.05.4 ± 1.425.20.0
Vitamin K (μg)91.6 ± 25.479.2 ± 24.686.0 ± 25.823.788.5
Vitamin B1 (mg)0.4 ± 0.10.3 ± 0.10.3 ± 0.128.40.0
Vitamin B2 (mg)0.6 ± 0.10.5 ± 0.10.5 ± 0.127.00.0
Niacin (mg)8.1 ± 2.66.9 ± 1.77.6 ± 2.319.90.0
Vitamin B6 (mg)0.6 ± 0.10.5 ± 0.10.6 ± 0.122.30.0
Vitamin B12 (μg)2.5 ± 2.43.2 ± 2.22.9 ± 2.314.150.0
Folic acid (μg)123.7 ± 43.5103.7 ± 27.7114.8 ± 38.620.50.0
Vitamin C (mg)29.2 ± 18.337.5 ± 20.132.9 ± 19.619.03.8
Salt (g)6.4 ± 2.34.8 ± 1.55.7 ± 2.123.496.2
* The percentage of daily nutrient intake from canteen meals is relative to the total daily intake. ** Recommended Daily Allowance (Angka Kecukupan Gizi/AKG) [53].
Table
Table 5. The main contributors to the intake of each nutrient by different food groups.
Table 5. The main contributors to the intake of each nutrient by different food groups.
EnergyProteinFat
Men(%)Women(%)Men(%)Women(%)Men(%)Women(%)
Rice36.3Rice30.6Rice19.1Chicken21.0Oils and Fats38.3 Oils and Fats37.6
Oils and Fats10.1Instant Noodles14.0Chicken18.8Rice15.5Instant Noodles14.5Instant Noodles11.0
Instant Noodles8.7Oils and Fats12.0Eggs11.8Instant Noodles9.6Chicken8.0Eggs9.6
Noodles6.0Chicken5.1Beef 9.4Eggs9.0Eggs6.5Chicken8.7
Chicken4.7Bread4.4Beans6.6Fish8.7Beef 6.1Beef 5.2
CarbohydrateFiberPotassium
Men(%)Women(%)Men(%)Women(%)Men(%)Women(%)
Rice53.3Rice49.2Vegetables28.9Vegetables27.0Vegetables18.3Vegetables14.6
Instant Noodles8.7Instant Noodles15.3Beans15.3Instant Noodles13.8Chicken12.5Chicken12.2
Noodles7.8Bread6.3Rice14.4Rice13.0Beans10.0Tubers10.4
Sugar5.4Sweets and Snacks4.2Instant Noodles9.3Beans11.3Rice9.2Fruits9.2
Tuber4.7Tubers3.7Noodles9.0Fruits6.9Fruits7.9Beans7.5
CalciumMagnesiumPhosphorus
Men(%)Women(%)Men(%)Women(%)Men(%)Women(%)
Dairy17.8Dairy26.7Rice21.8Beans17.5Rice21.1Chicken16.5
Vegetables15.4Fish16.9Beans17.3Rice17.2Chicken14.6Rice16.4
Fish13.4Vegetables11.4Chicken9.0Chicken9.7Eggs13.9Dairy12.5
Eggs12.3Eggs9.4Vegetables7.3Fruits7.5Beans7.9Eggs10.6
Beans10.5Beans7.8Seasonings6.2Tubers6.2Dairy7.2Fish10.5
IronZincVitamin A
Men(%)Women(%)Men(%)Women(%)Men(%)Women(%)
Eggs21.8Eggs17.7Rice36.8Rice33.7Eggs40.6Eggs28.0
Beef Meats11.9Chicken11.2Beef 16.2Chicken17.9Chicken16.0Vegetables19.2
Rice11.4Beef 11.1Chicken13.9Beef 11.7Vegetables14.6Dairy18.5
Beans11.2Rice10.4Eggs10.1Eggs8.6Dairy10.6Chicken12.7
Vegetables10.8Beans9.8Beans5.5Dairy6.5Sweets and Snacks6.4Sweets and Snacks5.3
Vitamin DVitamin EVitamin K
Men(%)Women(%)Men(%)Women(%)Men(%)Women(%)
Eggs51.1Eggs34.0Oils and Fats46.6Oils and Fats46.6Eggs51.1Eggs34.0
Fish14.8Fish26.5Eggs10.2Vegetables7.4Fish14.8Fish26.5
Chicken13.4Chicken15.1Vegetables9.4Eggs6.9Chicken13.4Chicken15.1
Dairy6.8Dairy9.8Chicken6.2Nuts6.2Dairy6.8Dairy9.8
Mushrooms5.5Beef 4.6Nuts5.8Fish5.8Mushrooms5.5Beef 4.6
Vitamin B1Vitamin B2Folic acid
Men(%)Women(%)Men(%)Women(%)Men(%)Women(%)
Rice20.1Rice14.5Eggs31.5Eggs23.5Vegetables26.4Vegetables24.0
Chicken13.6Chicken13.6Chicken13.7Chicken17.0Eggs16.8Eggs12.3
Vegetables10.9Beef 8.6Dairy9.3Dairy15.6Rice10.5Fruits11.4
Beef Meats8.4Vegetables8.0Beef 8.8Vegetables8.6Beans7.6Tubers8.6
Eggs6.8Nuts7.9Vegetables7.8Beef 6.3Fruits7.2Rice7.9
Vitamin CSalt (g)
Men(%)Women(%)Men(%)Women(%)
Vegetables55.2Vegetables36.4Seasonings84.5Seasonings79.5
Fruits21.1Fruits29.1Eggs3.0Dairy3.0
Tuber9.0Tubers22.5Noodles2.9Bread2.7
Chicken6.8Chicken4.3Snacks2.2Beef 2.6
Seasonings2.6Beef 2.7Bread2.6Eggs2.5
Table
Table 6. Food consumption pattern of observed students.
Table 6. Food consumption pattern of observed students.
No.Food GroupFood Consumption (g/capita/day)
Men
(Mean ± SD)		Women
(Mean ± SD)		All
(Mean ± SD)
1* Rice366.6 ± 126.6280.2 ± 87.2327.9 ± 118.7
2Bread15.3 ± 15.122.0 ± 19.618.3 ± 17.6
3* Noodles75.4 ± 88.021.0 ± 31.351.0 ± 73.8
4Instant noodles23.5 ± 23.945.2 ± 49.933.2 ± 39.4
5Tubers19.5 ± 18.431.1 ± 26.024.7 ± 22.9
6* Sugar14.4 ± 8.56.8 ± 5.111.0 ± 8.1
7Beans25.7 ± 33.221.3 ± 27.823.7 ± 30.9
8Nuts3.7 ± 6.74.5 ± 5.44.1 ± 6.2
9* Vegetables72.7 ± 41.650.2 ± 23.062.6 ± 36.3
10Fruits37.4 ± 38.086.8 ± 112.659.5 ± 84.2
11Mushrooms1.6 ± 4.91.7 ± 3.31.6 ± 4.3
12Fish14.5 ± 18.026.4 ± 33.119.8 ± 26.6
13Beef22.8 ± 18.920.9 ± 23.421.9 ± 21.0
14Chicken48.7 ± 25.942.9 ± 22.545.8 ± 43.9
15Eggs49.1 ± 35.335.2 ± 26.542.9 ± 32.4
16Milk61.1 ± 108.564.1 ± 108.862.5 ± 108.6
17Oils and Fats19.0 ± 9.420.8 ± 6.919.8 ± 8.4
18Snacks and Sweets22.7 ± 31.623.4 ± 32.523.0 ± 32.0
19* Sweets beverages117.3 ± 92.625.4 ± 31.476.1 ± 85.2
20Seasonings28.2 ± 15.026.9 ± 19.827.7 ± 17.3
Total 1039.2856.8957.1
* Gender difference for the intake levels of each food group were analyzed using ANOVA and the asterisk represents a p value < 0.05 that considered as statistically significant.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Sakai, Y.; Rahayu, Y.Y.S.; Araki, T. Nutritional Value of Canteen Menus and Dietary Habits and Intakes of University Students in Indonesia. Nutrients 2022, 14, 1911. https://doi.org/10.3390/nu14091911

AMA Style

Sakai Y, Rahayu YYS, Araki T. Nutritional Value of Canteen Menus and Dietary Habits and Intakes of University Students in Indonesia. Nutrients. 2022; 14(9):1911. https://doi.org/10.3390/nu14091911

Chicago/Turabian Style

Sakai, Yui, Yen Yen Sally Rahayu, and Tetsuya Araki. 2022. "Nutritional Value of Canteen Menus and Dietary Habits and Intakes of University Students in Indonesia" Nutrients 14, no. 9: 1911. https://doi.org/10.3390/nu14091911

APA Style

Sakai, Y., Rahayu, Y. Y. S., & Araki, T. (2022). Nutritional Value of Canteen Menus and Dietary Habits and Intakes of University Students in Indonesia. Nutrients, 14(9), 1911. https://doi.org/10.3390/nu14091911

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop