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Article

Presence of trans-Fatty Acids Containing Ingredients in Pre-Packaged Foods and the Availability of Reported trans-Fat Levels in Kenya and Nigeria

1
The George Institute for Global Health Australia, University of New South Wales, 1 King Street, Newtown, Sydney, NSW 2042, Australia
2
Cardiovascular Research Unit, University of Abuja Teaching Hospital, University of Abuja, Abuja 902101, Nigeria
3
Department of Epidemiology and Global Health, University Medical Centre, Utrecht University, 3508 Utrecht, The Netherlands
4
Center For Research Ethics and Safety, Kenyatta University, Nairobi P.O. Box 43844-00100, Kenya
5
Department of Nutrition and Dietetics, Kenya Medical Training College Karen Campus, Nairobi P.O. Box 24921, Kenya
6
Holo Healthcare, Nairobi P.O. Box 22003-00400, Kenya
7
Federal Capital Territory (FCT) Primary Health Care Board, Abuja 900001, Nigeria
8
School of Biological Sciences, The University of Hong Kong, Hong Kong, China
9
Department of Nursing and Allied Health, School of Health Sciences, Swinburne University of Technology, 1 John St., Hawthorn, VIC 3122, Australia
10
Department of Medicine and Global Health Center, Washington University in St. Louis, St. Louis, MO 63130, USA
11
Department of Preventive Medicine, Northwestern University, Chicago, IL 60611, USA
12
Department of Internal Medicine, Faculty of Clinical Sciences, University of Abuja, Abuja 900211, Nigeria
13
School of Population Health, University of New South Wales, Kensington, NSW 2052, Australia
14
Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
15
Department of Public Health and Caring Sciences, Uppsala University, 75122 Uppsala, Sweden
*
Author to whom correspondence should be addressed.
Nutrients 2023, 15(3), 761; https://doi.org/10.3390/nu15030761
Submission received: 29 December 2022 / Revised: 17 January 2023 / Accepted: 30 January 2023 / Published: 2 February 2023
(This article belongs to the Section Lipids)

Abstract

:
In most African countries, the prevalence of industrially produced trans-fatty acids (iTFA) in the food supply is unknown. We estimated the number and proportion of products containing specific (any hydrogenated edible oils) and non-specific (vegetable fat, margarine, and vegetable cream) ingredients potentially indicative of iTFAs among pre-packaged foods collected in Kenya and Nigeria. We also summarized the number and proportion of products that reported trans-fatty acids levels and the range of reported trans-fatty acids levels. In total, 99 out of 5668 (1.7%) products in Kenya and 310 out of 6316 (4.9%) products in Nigeria contained specific ingredients indicative of iTFAs. Bread and bakery products and confectioneries in both countries had the most foods that contained iTFAs-indicative ingredients. A total of 656 products (12%) in Kenya and 624 products (10%) in Nigeria contained non-specific ingredients that may indicate the presence of iTFAs. The reporting of levels of trans-fatty acids was low in both Kenya and Nigeria (11% versus 26%, respectively, p < 0.001). With the increasing burden of ischemic heart disease in Kenya and Nigeria, the rapid adoption of WHO best-practice policies and the mandatory declaration of trans-fatty acids are important for eliminating iTFAs.

1. Introduction

Cardiovascular disease is the leading cause of mortality and morbidity worldwide, and ischemic heart disease alone accounted for 16% of the world’s total mortality in 2019 [1]. A high intake of trans-fatty acids (>1% of total energy intake) [2] is a well-known risk factor for ischemic heart disease [3]. It is estimated that 500,000 deaths from ischemic heart disease each year globally are attributable to trans-fatty acid intake [2]. There are two main dietary sources of trans-fatty acids: (1) naturally occurring trans-fatty acids present in meat and dairy products and (2) industrially produced trans-fatty acids (iTFAs) through the partial hydrogenation of edible oils [4]. iTFAs do not add any nutritional value to the diet but increase low-density lipoprotein (LDL) cholesterol and decrease high-density lipoprotein (HDL) cholesterol [4], which in part increases the risk of coronary heart disease and other non-communicable diseases such as stroke.
The elimination of iTFAs was identified as a cost-effective intervention for the prevention of cardiovascular disease and could save 17.5 million lives globally over 25 years [5,6]. There are healthier options to replace iTFAs that do not impact the taste of food, making it feasible and acceptable to eliminate iTFAs from the food supply [7]. In 2018, World Health Organization (WHO) launched the REPLACE (Review, Promote, Legislate, Assess, Create, and Enforce) technical package to provide countries with a roadmap for eliminating iTFAs from national food supplies by 2023 [2]. Even before the launch of REPLACE in 2018, some high-income countries had already taken action to eliminate iTFAs. For example, Denmark in 2004 became the first country to put a limit on iTFAs (<2% of total fat) [5]. Since the launch of the WHO REPLACE package, significant progress has been made around the world [5].
In the African region, the burden of ischaemic heart disease has been increasing rapidly in the last two decades. For instance, ischemic heart disease is the number one killer in Nigeria [8] and the second leading cause of death in Kenya [9] among non-communicable diseases. In the meantime, it is well recognized that the world has undergone a nutritional transition towards more processed and pre-packaged foods for convenience and affordability, and this transition pace is the fastest in the Sub-Saharan areas, where multiple social factors such as urbanization and disposable income growth are driving the change [10]. Consequently, the increasing consumption of processed and pre-packaged foods, which are high in fat, sodium, and calories [11,12,13], is leading to a higher risk of diet-related diseases in the region. For instance, there was a 27% increase in Nigeria [8] and a 33% increase in Kenya [9] in death and disability combined attributable to dietary risks from 2009 to 2019, making dietary risks one of the top 10 contributing factors towards death and disability.
With regards to iTFAs, although there was national policy commitment to eliminate iTFAs from several African countries, up to December 2022, only South Africa in the African region had implemented a WHO best-practice policy (i.e., legislative or regulatory measures that limit iTFAs in foods in all settings and are in line with the recommended approach) [14]. Between 2010 (i.e., the year before the policy was implemented) and 2019, the number of deaths from ischemic heart disease in South Africa remained stable (with a 21% decrease in age-standardized mortality rate) [15]. During the same period, the number of deaths from ischemic heart disease in two other major countries in the Sub-Saharan region, Nigeria and Kenya, increased by 23% and 33%, respectively [15]. While both Kenya and Nigeria have committed to policies against iTFAs, these have so far not been implemented [16,17]. Furthermore, the prevalence of iTFAs in the two countries’ food supply is unknown due to the lack of prior investigation.
The presence of trans-fatty acids in packaged foods can be communicated through nutrition labels on food packages. Nutrition labeling is a way to provide consumers with the nutritional information of food products and thus assist consumers in making informed choices. As part of nutrition labeling, nutrient declaration shows the amount of different nutrients contained in per 100 g or per serving food product and is traditionally displayed at the back of the package. Globally, over 80 countries require mandatory declarations of various nutrients such as energy, protein, sodium, fat, sugar, and carbohydrates [18]. However, in many African countries [18], including Kenya and Nigeria [19,20], mandatory nutrient declaration on food packages is only required when the food makes health or nutrient claims. Although it is challenging to quantify the level of trans-fatty acids in food without mandatory nutrition declarations on packaged products, it is possible to identify food products potentially containing iTFAs based on the ingredient list (e.g., partially hydrogenated vegetable oils) [21]. In this study, we used the ingredient list of packaged food to assess the prevalence of iTFA-indicative ingredients in Kenya and Nigeria, two major countries in Eastern Africa and Western Africa, respectively, together home to roughly every fifth person in Africa [22]. We also estimated the proportion of products with reported levels of trans-fatty acids and recorded the ranges of reported values.

2. Materials and Methods

2.1. Data Sources

The FoodSwitch project at the George Institute for Global Health is a large international project that collects detailed product and nutritional information about packaged foods in 17 countries [23]. Countries that participate in the project follow standard data collection and processing protocols which have been previously described [24,25]. In each participating country, data were collected from large retailers at a one-time point or annually by trained staff using a smartphone data collection application. In each selected store, data on all food available for sale were collected. Images of packaged foods were taken using a smartphone data collection application and sent to a bespoke content management system where data were extracted from the images and stored using a quality control system. According to CODEX ALIMENTARIUS International Food Standards, it is mandatory to include a list of ingredients in the food package as part of the general food labelling regulation for packaged food except for single-ingredient food [26]. Therefore, ingredient information of products was also entered for products with clear images. All food products were categorized according to a hierarchical food categorization system that contains 18 major food groups (alcoholic beverages; bread and bakery products; cereal and grain products; confectioneries; convenience foods; dairy; edible oils and oil emulsions; eggs, seafood and seafood products; fruits, vegetables, nuts, and legumes; meat and meat products; non-alcoholic beverages; sauces, dressings, spreads, and dips; snack foods; special foods; sugars, honey, and related products; vitamins and supplements; unable to be categorized) and over 1000 finer sub-categories, as defined by the Global Food and Nutrition Monitoring group [25]. For the purpose of this analysis, eggs and alcoholic beverages were not included, as eggs do not have ingredient information, and alcoholic beverages are not in the scope of this research, leaving 16 major food groups for analysis.
Data used in this analysis were collected in Kenya and Nigeria as part of the FoodSwitch project. For Kenya, data were collected in 2019 from five major supermarket chains in Nairobi, Kenya (Tuskys, Chandarana, Kassmatt, Stanmatt, and Kamindi Selfridges) [19]. For Nigeria, data were collected from major supermarkets (Shopright, Grandsqure supermarket and Stores Limited, Market Square, Prince Ebeano Justrite) across three states (Federal Capital Territory, Kano, Ogun) from November 2020 to March 2021. The selection of stores for data collection was determined by local collaborators in each country based on their research and knowledge of the size (largest in size) of the stores and the frequency of customer visits (most frequently visited).

2.2. Analysis

Some products were exempted from displaying ingredient information, and some did not have clear images to allow data entry; only products with ingredient information were included in this analysis. Following the same method of previous research [21,27], the ingredient list of each product was searched using specific terms (i.e., partially hydrogenated fat, hydrogenated vegetable oil, and hydrogenated) that indicate ingredients that are sources of iTFAs. In addition, non-specific terms (i.e., vegetable fat, margarine, and vegetable cream), which may or may not indicate iTFA-containing ingredients, were also searched [27]. Manual checks were also conducted after an automatic search by programming to correct misclassification due to variations and misspellings of ingredient information. The number and proportion of foods containing specific and non-specific iTFA-indicating ingredients were calculated across all products and for each of the 16 major food groups. The availability and level of reported trans-fatty acids on the nutritional information panel (NIP) among all products and among products that contained specific iTFA-indicating ingredients were also examined. Pearson’s chi-squared test was conducted to see if there were differences between Kenya and Nigeria, in terms of the prevalence of iTFA-indicating products and the prevalence of trans-fatty acid information on NIP. Two-sided p values < 0.05 were considered statistically significant without adjustment for multiple testing. Analyses were done using R version 4.1.0 and RStudio 2 July 2022 Build 576 [28]. Packages “plotrix” [29], “gtsummary” [30], and “janitor” [31] were used for summarizing the data.

3. Results

In total, data were collected from 6711 pre-packaged products in Kenya in 2019 and from 7039 pre-packaged products in Nigeria between November 2020 and March 2021. Of these, 5668 and 6316 non-alcoholic products with ingredient information were included in this analysis for Kenya and Nigeria, respectively.

3.1. Presence of Specific Ingredients Indicative of Industrially Produced trans-Fatty Acids in Kenya and Nigeria

A total of 99 out of 5668 products (1.7%) in Kenya contained specific ingredients that are indicative of iTFAs. This proportion was statistically higher (p < 0.001) in Nigeria, with a total of 310 out of 6316 products (4.9%) that contained specific ingredients indicative of iTFAs. In Kenya, the top four food groups that contained such ingredients were bread and bakery products (n = 40, 5.3% of products); confectionery (n = 13, 6.7%); sauces, dressings, spreads, and dips (n = 13, 2.6%) and non-alcoholic beverages (n = 13, 1.6%). In Nigeria, the top four food groups were confectioneries (n = 98, 16.9% of products); bread and bakery products (n = 73, 6.3%); non-alcoholic beverages (n = 44, 5.4%); and snack foods (n = 25, 7%) (Table 1). Over 50% of the products with specific ingredients indicative of iTFAs in Kenya were produced by 10 manufacturers, and about 40% of products with specific ingredients indicative of iTFAs in Nigeria were produced by 10 manufacturers.

3.2. Presence of Ingredients Potentially Indicative of Industrially Produced trans-Fatty Acids in Kenya and Nigeria

A total of 656 out of 5668 products (11.6%) in Kenya and a slightly smaller number and proportion (624 out of 6316 products (9.9%), p = 0.003) in Nigeria contained non-specific ingredients that may indicate the presence of iTFAs. In Kenya, the top three food groups with the most products were bread and bakery products (n = 432, 57.3% of products); dairy (n = 71, 7.6%); and confectioneries (n = 64, 32.8%). In Nigeria, the top three food groups were bread and bakery products (n = 304, 26.1% of products); confectioneries (n = 162, 27.9%); and fruits, vegetables, nuts, and legumes (n = 55, 5.9%) (Table 1). The number and proportion of products containing each ingredient are presented in Appendix Table A1.

3.3. Availability and Levels of Reported trans-Fatty Acids in Kenya and Nigeria

Of all products included in this analysis, 584 (10%) products in Kenya reported the level of trans-fatty acids on the NIP. A larger number and proportion (1626 (26%), p < 0.001) of products in Nigeria reported the level of trans-fatty acids on the NIP. There was a large variation in the proportion of food reporting the levels of trans-fatty acids across different food groups. The food categories most commonly reporting trans-fatty acid levels were edible oils and oil emulsions in Kenya (28%) and snack foods in Nigeria (37%) (Figure 1). Among products with reported trans-fatty acids levels, the level of trans-fatty acids ranged from 0 to 2 g per 100 g product in Kenya and ranged from 0 to 6.5 g per 100 g product in Nigeria. The average proportion of trans-fatty acids out of total fat was 0.58% in Kenya and 0.28% in Nigeria. The number of products with reported trans-fatty acids exceeding 2% of total fat was 40 (6.8%) products in Kenya and 48 (3%) products in Nigeria (Table 2).
Less than half of products with specific ingredients indicative of iTFAs reported trans-fatty acids levels (40% in Kenya and 41% in Nigeria, p > 0.9), and of these, a few products (8 (20%) in Kenya, and 9 (7.1%) in Nigeria) exceeded 2% of total fat.

4. Discussion

This analysis found that overall, less than 2% of pre-packaged food products sold in major supermarket chains in Kenya and nearly 5% of pre-packaged food products sold in major supermarkets in Nigeria contained specific ingredients indicative of iTFAs. In both countries, products containing such ingredients were clustered in a few major food groups, particularly bread and bakery products and confectionery (e.g., 17% of confectioneries in Nigeria included specific iTFA-containing ingredients). In addition, the proportion of products declaring the level of trans-fatty acids was low, and there was no consistent reporting across different food groups, which makes benchmarking the amount of trans-fatty acids contained in the food challenging. The low reporting rate of trans-fatty acids levels among foods containing specific ingredients indicative of iTFAs is particularly worrisome, with only 4 in 10 of such products displaying information on trans-fatty acids content in both Kenya and Nigeria.
Although the proportion of products containing specific ingredients indicative of iTFAs is small in both Kenya and Nigeria, the impact on public health would still be significant if the products were consumed in large quantities. For instance, bread and bakery products are major foods in many countries, including African countries. The per capita consumption of bread in Kenya was 19 kg in 2015 [32]. The market for bread and bakery products was expected to grow by 6.9% in African countries from 2016 to 2025, while the Kenyan market is expected to grow by 11% annually for a period of 20 years [33]. Thus, it is possible that iTFAs intake (and the health consequences thereof) may increase with a greater intake of bread and bakery products. Our analysis showed that most products containing specific iTFA-containing ingredients are clustered in a few food groups, and a large proportion of them was produced by a limited number of manufacturers. If analysis of nationally representative samples of packaged foods shows similar patterns, removal of iTFAs from the food supply may be feasible with targeted efforts. However, a mandatory declaration of trans-fatty acids will be important to monitor and revise the targeted food groups for efforts over time.
In response to WHO’s global target to eliminate iTFAs, countries are moving fast in developing relevant policies. Currently, mandatory iTFA limits or bans on partially hydrogenated oils are in effect in 57 countries, protecting 3.2 billion people [5]. As eliminating iTFAs is relatively feasible, acceptable, and affordable due to the limited number of products with iTFAs and requires relatively little resource, even some low- and lower-middle-income countries have passed policies to regulate iTFAs. For example, India passed a policy effective as of January 2022, and a best-practice policy in the Philippines is expected to take effect in July 2023 [5]. Although both Kenya [17] and Nigeria [16] have outlined policies to limit iTFAs in foods, alignment with WHO best-practice policy is yet to be adopted [14].
Both Kenya and Nigeria are experiencing an increasing burden of ischaemic heart disease. According to the Global Burden of Disease Study, deaths attributable to ischaemic heart disease increased by 37% in Kenya [9] and increased by 25% in Nigeria [8] from 2009 to 2019. The elimination of iTFAs from the food supply could reduce both the burden of ischaemic heart disease and deaths from other causes where prevalent ischaemic heart disease may increase mortality risks (e.g., people with underlying health issues such as ischaemic heart disease were at higher risk of dying due to complications of COVID-19) [34]. Prior modelling work done for Australia suggested that iTFAs elimination could be a cost-effective, or even cost-saving, strategy to reduce the ischaemic heart disease burden, preventing around 2300 deaths attributable to the disease over the first ten years [35]. Dietary patterns and other contexts may be different in Kenya and Nigeria compared to Australia and hence will require specific modelling work to be done for the two countries to properly assess the cost-effectiveness of iTFAs elimination. Nonetheless, following WHO’s recommended best-practice policy, which includes: (1) a mandatory national limit of 2 g of iTFAs per 100 g of total fat in all foods and (2) a mandatory national ban on the production or use of partially hydrogenated oil [5], may have a meaningful impact on the countries’ rising burden of ischaemic heart disease [36], particularly when there is a rapid dietary transition of moving from traditional fresh food to processed and pre-packaged foods. In addition, mandatory declaration of trans-fatty acids on food packages will be important for quantifying the level of trans-fatty acids contained in the food supply, benchmarking progress towards eliminating iTFAs, and helping consumers make healthier choices at the point of purchase.
This paper benefits from the standard data collection of packaged foods in Kenya and Nigeria following the same protocol and provides useful insights into the presence of iTFA-indicative ingredients and the presence of trans-fatty acids information on food packages. Although the sample size included for both countries are relatively large, the data may not fully capture the variability in the use of iTFAs ingredients and levels of trans-fatty acids in the food supplies in these countries. On the other hand, the data were collected from major retailers where a large proportion of products are sold and most of which would be subsequently consumed. Nonetheless, future analysis incorporating sales data of different products would have added value to understanding the purchase pattern and real impact of the products containing iTFAs. In addition, the paper only focused on pre-packaged foods and did not include freshly baked goods and may therefore underestimate the presence of iTFAs in the overall food supply [37]. Also, the analysis of the non-specific iTFA-indicating ingredients should be interpreted cautiously and should ideally be validated by the use of chemical analysis of trans-fatty acids levels in such products. We relied on the accuracy and validity of the nutritional information available on the NIP of the food products captured in the database for both Kenya and Nigeria. The reported levels of trans-fatty acids in this paper should be used with caution as only a small proportion of products reported the levels of trans-fatty acids on the NIP, and this reporting may be selective depending on the true levels of trans-fatty acids contained in the food. We reported the proportion of products with trans-fatty acids content exceeding 2% of total fats, and it is possible that the iTFAs content of such products may be less than 2% of total fats, especially in foods containing significant amounts of naturally occurring trans-fatty acids (e.g., some dairy foods).

5. Conclusions

Although only a small proportion of all packaged food products in Kenya and Nigeria contained specific ingredients indicative of iTFAs, the potential impact on public health may be significant given the increasing market share and greater demand for packaged food. Reporting of trans-fatty acids levels was overall scarce, even among products containing specific iTFA-indicative ingredients, suggesting a need for more efforts in Africa towards mandatory labelling of trans-fatty acid content of packaged foods. The rapid adoption of WHO best-practice policy for both countries to eliminate iTFAs may be important given the rising burden of ischaemic heart disease in both countries. Governmental efforts will be crucial to achieving iTFAs elimination, as previous research showed that only full compliance with relevant regulations showed success [38,39,40]. In addition, it will be critical to mandate the declaration of trans-fatty acids on the NIP in Kenya and Nigeria, as this not only allows a better understanding of the presence of iTFAs and facilitates the monitoring of the progress towards iTFAs elimination but also has been shown to result in reductions of trans-fatty acid in blood levels [41,42,43]. Mandatory declaration will also help consumers make their food choices.

Author Contributions

Conceptualization, L.H., J.H.Y.W. and M.M.; Data curation, F.T.; Investigation, A.E.O., J.K. and A.K.; Project administration, A.E.O., J.K. and F.T.; methodology, L.H., J.H.Y.W. and M.M.; software, L.H.; formal analysis, L.H.; Resources, F.T.; Funding acquisition, M.D.H. and D.B.O.; writing—original draft preparation, L.H.; writing—review and editing, A.E.O., J.K., A.K., B.M.A., C.E.O., J.L., F.T., M.D.H., D.B.O., J.H.Y.W.and M.M.; supervision, M.M. All authors have read and agreed to the published version of the manuscript.

Funding

The research conducted for this study did not receive any specific funding. The data collection in Kenya was supported by The George Institute for Global Health Australia and the data collection in Nigeria was supported by the National Heart, Lung, and Blood Institute (UH3 HL152381) and the Havey Institute for Global Health at Northwestern University.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data supported this research was collected as part of the FoodSwitch project. Data may be shared within reasonable requests. For any queries, please contact Fraser Taylor at [email protected].

Acknowledgments

We thank the local teams in Kenya and Nigeria for the data collection and the FoodSwitch team for processing the data.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A

Table A1. Number and proportion of products containing each non-specific ingredient that may be indicative of iTFA.
Table A1. Number and proportion of products containing each non-specific ingredient that may be indicative of iTFA.
Non-Specific IngredientsKenya, N = 5668 1Nigeria, N = 6316 1p-Value 2
Vegetable fat 3447 (7.9%)585 (9.3%)0.007
Margarine 3211 (3.7%)38 (0.6%)<0.001
Vegetable cream0 (0%)1 (<0.1%)>0.9
1 n (%); 2 Pearson’s Chi-squared test; Fisher’s exact test; 3 These products may overlap with products that contain specific ingredients indicative of industrially produced trans-fatty acids (iTFA).

References

  1. Roth, G.A.; Mensah, G.A.; Johnson, C.O.; Addolorato, G.; Ammirati, E.; Baddour, L.M.; Barengo, N.C.; Beaton, A.Z.; Benjamin, E.J.; Benziger, C.P.; et al. Global Burden of Cardiovascular Diseases and Risk Factors, 1990–2019: Update From the GBD 2019 Study. J. Am. Coll. Cardiol. 2020, 76, 2982–3021. [Google Scholar] [CrossRef] [PubMed]
  2. World Health Organization. REPLACE Trans Fat: An Action Package to Eliminate Industrially Produced Trans-Fatty Acids. 2021. Available online: https://www.who.int/publications/i/item/9789240021105 (accessed on 10 January 2023).
  3. Hajar, R. Risk Factors for Coronary Artery Disease: Historical Perspectives. Heart Views 2017, 18, 109–114. [Google Scholar] [CrossRef] [PubMed]
  4. American Heart Association. Trans Fats. Available online: https://www.heart.org/en/healthy-living/healthy-eating/eat-smart/fats/trans-fat (accessed on 8 November 2022).
  5. World Health Organization. Countdown to 2023: WHO Report on Global Trans Fat Elimination 2021; WHO: Geneva, Switzerland, 2021. [Google Scholar]
  6. Kontis, V.; Cobb, L.K.; Mathers, C.D.; Frieden, T.R.; Ezzati, M.; Danaei, G. Three Public Health Interventions Could Save 94 Million Lives in 25 Years. Circulation 2019, 140, 715–725. [Google Scholar] [CrossRef]
  7. Ghebreyesus, T.A.; Frieden, T.R. REPLACE: A roadmap to make the world trans fat free by 2023. Lancet 2018, 391, 1978–1980. [Google Scholar] [CrossRef]
  8. Institute for Health Metrics and Evaluation. Nigerian Profile. Available online: https://www.healthdata.org/kenya (accessed on 10 January 2023).
  9. Institute for Health Metrics and Evaluation. Kenyan Profile. Available online: https://www.healthdata.org/nigeria (accessed on 10 January 2023).
  10. Reardon, T.; Tschirley, D.; Liverpool-Tasie, L.S.O.; Awokuse, T.; Fanzo, J.; Minten, B.; Vos, R.; Dolislager, M.; Sauer, C.; Dhar, R.; et al. The Processed food revolution in African food systems and the Double Burden of Malnutrition. Glob. Food Secur. 2021, 28, 100466. [Google Scholar] [CrossRef]
  11. Rischke, R.; Kimenju, S.C.; Klasen, S.; Qaim, M. Supermarkets and food consumption patterns: The case of small towns in Kenya. Food Policy 2015, 52, 9–21. [Google Scholar] [CrossRef]
  12. Demmler, K.M.; Ecker, O.; Qaim, M. Supermarket Shopping and Nutritional Outcomes: A Panel Data Analysis for Urban Kenya. World Dev. 2018, 102, 292–303. [Google Scholar] [CrossRef]
  13. Popkin, B.M.; Adair, L.S.; Ng, S.W. Global nutrition transition and the pandemic of obesity in developing countries. Nutr. Rev. 2012, 70, 3–21. [Google Scholar] [CrossRef]
  14. World Health Organization. TFA Country Score Card. 2022. Available online: https://extranet.who.int/nutrition/gina/en/scorecard/TFA (accessed on 23 December 2022).
  15. Institute for Health Metrics and Evaluation. GBD Results: Default Results Are Global All-Cause Deaths and DALYs for 2019 with Trends Since 1990. 2019. Available online: https://vizhub.healthdata.org/gbd-results/ (accessed on 16 January 2023).
  16. Nigerian Federal Ministry of Health. National Multi-Sectoral Action Plan for the Prevention and Control of Non-Communicable Diseases (2019–2025); Federal Ministry of Health: Abuja, Nigeria, 2019.
  17. Republic of Kenya Ministry of Health. National Strategic Plan for the Prevention and Control of Non-Communicable Diseases 2021/22–2025/26. Available online: https://www.health.go.ke/wp-content/uploads/2021/07/Kenya-Non-Communicable-Disease-NCD-Strategic-Plan-2021-2025.pdf (accessed on 23 December 2022).
  18. World Health Organization. Nutrition Labelling: Policy Brief. 2022. Available online: https://www.who.int/publications/i/item/9789240051324 (accessed on 10 January 2023).
  19. Ndanuko, R.; Maganja, D.; Kibet, A.; Coyle, D.; Kimiywe, J.; Raubenheimer, D.; Marklund, M.; Wu, J. Sodium Content and Labelling Completeness of Packaged Foods and Beverages in Kenya. Nutrients 2021, 13, 1385. [Google Scholar] [CrossRef]
  20. National Agency for Food and Drug Administration and Control (NAFDAC). Pre-Packaged Food, Water and Ice Labelling Regulations; NAFDAC: Abuja, Nigeria, 2019. [Google Scholar]
  21. Huang, L.; Federico, E.; Jones, A.; Wu, J.H. Presence of trans fatty acids containing ingredients in pre-packaged foods in Australia in 2018. Aust. New Zealand J. Public Health 2020, 44, 419–420. [Google Scholar] [CrossRef] [PubMed]
  22. United Nations, Department of Economic and Social Affairs, and Population Division. World Population Prospects: The 2022 Revision, Custom Data Acquired via Website. 2022. Available online: https://population.un.org/wpp/ (accessed on 23 December 2022).
  23. FoodSwitch. Available online: https://www.georgeinstitute.org.au/projects/foodswitch (accessed on 22 December 2022).
  24. Dunford, E.; Trevena, H.; Goodsell, C.; Ng, K.H.; Webster, J.; Millis, A.; Goldstein, S.; Hugueniot, O.; Neal, B. FoodSwitch: A Mobile Phone App to Enable Consumers to Make Healthier Food Choices and Crowdsourcing of National Food Composition Data. JMIR mHealth uHealth 2014, 2, e37. [Google Scholar] [CrossRef] [PubMed]
  25. Dunford, E.; Webster, J.; Metzler, A.B.; Czernichow, S.; Mhurchu, C.N.; Wolmarans, P.; Snowdon, W.; L’Abbe, M.; Li, N.; Maulik, P.K.; et al. International collaborative project to compare and monitor the nutritional composition of processed foods. Eur. J. Prev. Cardiol. 2012, 19, 1326–1332. [Google Scholar] [CrossRef] [PubMed]
  26. Food and Agriculture Organization of the United Nations. CODEX ALIMENTARIUS International Food Standards: General Standards for the Labelling of Pre-Packaged Foods—CSX 1-1985; FAO: Rome, Italy, 2018. [Google Scholar]
  27. Ricardo, C.Z.; Peroseni, I.M.; Mais, L.A.; Martins, A.P.B.; Duran, A.C. Trans Fat Labeling Information on Brazilian Packaged Foods. Nutrients 2019, 11, 2130. [Google Scholar] [CrossRef] [PubMed]
  28. R Core Team. R: A Language and Environment for Statistical Computing; R Foundation for Statistical Computing: Vienna, Austria, 2021. [Google Scholar]
  29. Lemon, J. Plotrix: A package in the red light district of R. R-News 2006, 6, 8–12. [Google Scholar]
  30. Daniel, D.S.; Whiting, K.; Curry, M.; Lavery, J.A.; Larmarange, J. Reproducible Summary Tables with the gtsummary Package. R J. 2021, 13, 570–580. [Google Scholar]
  31. Firke, S. Janitor: Simple Tools for Examining and Cleaning Dirty Data. 2021. Available online: https://CRAN.R-project.org/package=janitor (accessed on 10 January 2023).
  32. Malawi, Kenya and South Africa Present Different Value Chain and Market Characteristics, Driving Differences in Potential for OFSP Commercialization. 2015. Available online: https://agrilinks.org/sites/default/files/final_2018-10-30_agrilinks_webinar_ofsp_.pdf (accessed on 8 November 2022).
  33. Wambugu, H.W.; Musyoka, R. Factors Influencing Behavior of Bread Consumers in Kenya. Int. J. Manag. Stud. Res. 2022, 10, 1–7. [Google Scholar] [CrossRef]
  34. Bhaskaran, K.; Bacon, S.; Evans, S.J.; Bates, C.J.; Rentsch, C.T.; MacKenna, B.; Tomlinson, L.; Walker, A.J.; Schultze, A.; E Morton, C.; et al. Factors associated with deaths due to COVID-19 versus other causes: Population-based cohort analysis of UK primary care data and linked national death registrations within the OpenSAFELY platform. Lancet Reg. Health Eur. 2021, 6, 100109. [Google Scholar] [CrossRef]
  35. Marklund, M.; Zheng, M.; Veerman, J.L.; Wu, J.H.Y. Estimated health benefits, costs, and cost-effectiveness of eliminating industrial trans-fatty acids in Australia: A modelling study. PLoS Med. 2020, 17, e1003407. [Google Scholar] [CrossRef]
  36. Downs, S.M.; Bloem, M.Z.; Zheng, M.; Catterall, E.; Thomas, B.; Veerman, L.; Wu, J.H. The Impact of Policies to Reduce trans Fat Consumption: A Systematic Review of the Evidence. Curr. Dev. Nutr. 2017, 1, 1012003. [Google Scholar] [CrossRef]
  37. Wu, J.H.; Downs, S.; Catterall, E. Levels of Trans Fats in the Food Supply and Consumption in Australia; The Sax Institute for The National Heart Foundation of Australia: Glebe, Australia, 2017. [Google Scholar]
  38. Restrepo, B.J.; Rieger, M. Denmark’s Policy on Artificial Trans Fat and Cardiovascular Disease. Am. J. Prev. Med. 2016, 50, 69–76. [Google Scholar] [CrossRef]
  39. Restrepo, B.J.; Rieger, M. Trans fat and cardiovascular disease mortality: Evidence from bans in restaurants in New York. J. Health Econ. 2016, 45, 176–196. [Google Scholar] [CrossRef] [PubMed]
  40. Grabovac, I.; Hochfellner, L.; Rieger, M.; Jewell, J.; Snell, A.; Weber, A.; Stüger, H.P.; Schindler, K.E.; Mikkelsen, B.; Dorner, T.E. Impact of Austria’s 2009 trans fatty acids regulation on all-cause, cardiovascular and coronary heart disease mortality. Eur. J. Public Health 2018, 28 (Suppl. S2), 4–9. [Google Scholar] [CrossRef] [Green Version]
  41. Vesper, H.W.; Kuiper, H.C.; Mirel, L.B.; Johnson, C.L.; Pirkle, J.L. Levels of plasma trans-fatty acids in non-Hispanic white adults in the United States in 2000 and 2009. JAMA 2012, 307, 562–563. [Google Scholar] [CrossRef] [PubMed]
  42. Restrepo, B.J. Further Decline of Trans Fatty Acids Levels Among US Adults Between 1999–2000 and 2009–2010. Am. J. Public Health 2017, 107, 156–158. [Google Scholar] [CrossRef] [PubMed]
  43. Restrepo, B.J. Intake of trans-fats among US youth declined from 1999–2000 to 2009–2010. Public Health Nutr. 2020, 23, 1103–1107. [Google Scholar] [CrossRef]
Figure 1. Number and percentage of products reported and did not report trans-fatty acids level by major food groups in Kenya and Nigeria.
Figure 1. Number and percentage of products reported and did not report trans-fatty acids level by major food groups in Kenya and Nigeria.
Nutrients 15 00761 g001
Table 1. Presence of iTFA-indicative ingredients in pre-packaged foods in Kenya and Nigeria.
Table 1. Presence of iTFA-indicative ingredients in pre-packaged foods in Kenya and Nigeria.
Food GroupKenyaNigeria
Total nNo. (%) of Products Contains Any Specific Terms Indicating iTFAsNo. (%) of Products Contains Any Non-Specific Terms Indicating iTFAsTotal nNo. (%) of Products Contains Any Specific Terms Indicating iTFAsNo. (%) of Products Contains Any Non-Specific Terms iTFAs
Bread and bakery products75440 (5.3)432 (57.3)116473 (6.3)304 (26.1)
Cereal and grain products4802 (0.4)36 (7.5)7357 (1.0)3 (0.4)
Confectionery19513 (6.7)64 (32.8)58198 (16.9)162 (27.9)
Convenience foods583 (5.2)4 (6.9)461 (2.2)0 (0.0)
Dairy9319 (1.0)71 (7.6)39913 (3.3)46 (11.5)
Edible oils and oil emulsions2040 (0.0)5 (2.5)1808 (4.4)7 (3.9)
Seafood and seafood products570 (0.0)4 (7.0)1290 (0.0)0 (0.0)
Fruits, vegetables, nuts and legumes9204 (0.4)0 (0.0)92819 (2.0)55 (5.9)
Meat and meat products1430 (0.0)3 (2.1)770 (0.0)3 (3.9)
Non-alcoholic beverages82513 (1.6)7 (0.8)82044 (5.4)23 (2.8)
Sauces, dressings, spreads and dips49313 (2.6)15 (3.0)59919 (3.2)9 (1.5)
Snack foods4082 (0.5)11 (2.7)35825 (7.0)10 (2.8)
Special foods450 (0.0)0 (0.0)1690 (0.0)2 (1.2)
Sugars, honey and related products1160 (0.0)0 (0.0)1212 (1.7)0 (0.0)
Vitamins and supplements140 (0.0)1 (7.1)30 (0.0)0 (0.0)
Unable to be categorized250 (0.0)3 (12.0)71 (14.3)0 (0.0)
Total566899 (1.7)656 (11.6)6316310 (4.9)624 (9.9)
Note: Specific terms include “Partially Hydrogenated Fat”, “Hydrogenated Vegetable Oil” and “Hydrogenated” and exclude “Fully Hydrogenated”. Non-specific terms include “Vegetable Fat”, “Margarine”, and “Vegetable Cream”. Special foods are foods for special dietary use, including meal replacements, sports foods, infant and baby food, etc. iTFAs, industrially produced trans-fatty acids.
Table 2. Levels of reported trans fat in Kenya and Nigeria for different food groups.
Table 2. Levels of reported trans fat in Kenya and Nigeria for different food groups.
Food GroupKenyaNigeria
No. (%) Products with trans-Fatty Acids > 2% of Total FatMedian (Range) of Reported trans-Fatty Acids Levels (g/100 g)Mean (sd) Percentage (%) trans-Fatty Acids of Total FatNo. (%) Products with trans-Fatty Acids > 2% of Total FatMedian (Range) of Reported trans-Fatty Acids Levels (g/100 g)Mean (sd) Percentage (%) trans-Fatty Acids of Total Fat
Bread and bakery products9 (1.2)0.00 (0.00, 1.00)0.25 (0.78)6 (0.5)0.00 (0.00, 6.5)0.19 (1.60)
Cereal and grain products1 (0.2)0.00 (0.00, 0.30)0.22 (0.71)2 (0.3)0.00 (0.00, 1.00)0.31 (4.27)
Confectionery0 (0.0)0.00 (0.00, 0.30)0.25 (0.40)5 (0.9)0.00 (0.00, 6.30)0.50 (1.97)
Convenience foods5 (8.6)0.01 (0.00, 0.85)2.10 (3.26)0 (0.0)0.00 (0.00, 0.00)0.00 (0.00)
Dairy18 (1.9)0.00 (0.00, 1.68)2.14 (10.93)17 (4.3)0.00 (0.00, 2.04)0.78 (1.58)
Edible oils and oil emulsions0 (0.0)0.10 (0.00, 0.70)0.30 (0.31)6 (3.3)0.00 (0.00, 3.20)0.61 (1.10)
Fish and fish products3 (5.3)0.00 (0.00, 0.20)1.55 (3.87)1 (0.8)0.00 (0.00, 0.10)0.32 (0.96)
Fruits, vegetables, nuts and legumes2 (0.2)0.00 (0.00, 0.50)0.18 (0.56)4 (0.4)0.00 (0.00, 3.60)0.09 (0.69)
Meat and meat products0 (0.0)0.00 (0.00, 0.00)0.00 (0.00)1 (1.3)0.00 (0.00, 0.30)0.46 (1.66)
Non-alcoholic beverages0 (0.0)0.00 (0.00, 0.00)0.00 (0.00)0 (0.0)0.00 (0.00, 0.05)0.03 (0.16)
Sauces, dressings, spreads and dips2 (0.4)0.00 (0.00, 2.00)0.31 (1.70)1 (0.2)0.00 (0.00, 0.10)0.30 (3.87)
Snack foods0 (0.0)0.00 (0.00, 0.10)0.05 (0.32)5 (1.4)0.00 (0.00, 2.00)0.34 (1.82)
Special foods---0 (0.0)0.00 (0.00, 0.03)0.01 (0.04)
Sugars, honey and related products0 (0.0)0.00 (0.00, 0.00)0.00 (0.00)0 (0.0)0.00 (0.00, 0.00)0.00 (0.00)
Vitamins and supplements------
Unable to be categorized---0 (0.0)0.00 (0.00, 0.00)0.00 (0.00)
Overall40 (0.7)0.00 (0.00, 2.00)0.58 (4.33)48 (0.8)0.00 (0.00, 6.5)0.28 (2.40)
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Huang, L.; Ojo, A.E.; Kimiywe, J.; Kibet, A.; Ale, B.M.; Okoro, C.E.; Louie, J.; Taylor, F.; Huffman, M.D.; Ojji, D.B.; et al. Presence of trans-Fatty Acids Containing Ingredients in Pre-Packaged Foods and the Availability of Reported trans-Fat Levels in Kenya and Nigeria. Nutrients 2023, 15, 761. https://doi.org/10.3390/nu15030761

AMA Style

Huang L, Ojo AE, Kimiywe J, Kibet A, Ale BM, Okoro CE, Louie J, Taylor F, Huffman MD, Ojji DB, et al. Presence of trans-Fatty Acids Containing Ingredients in Pre-Packaged Foods and the Availability of Reported trans-Fat Levels in Kenya and Nigeria. Nutrients. 2023; 15(3):761. https://doi.org/10.3390/nu15030761

Chicago/Turabian Style

Huang, Liping, Adedayo E. Ojo, Judith Kimiywe, Alex Kibet, Boni M. Ale, Clementina E. Okoro, Jimmy Louie, Fraser Taylor, Mark D. Huffman, Dike B. Ojji, and et al. 2023. "Presence of trans-Fatty Acids Containing Ingredients in Pre-Packaged Foods and the Availability of Reported trans-Fat Levels in Kenya and Nigeria" Nutrients 15, no. 3: 761. https://doi.org/10.3390/nu15030761

APA Style

Huang, L., Ojo, A. E., Kimiywe, J., Kibet, A., Ale, B. M., Okoro, C. E., Louie, J., Taylor, F., Huffman, M. D., Ojji, D. B., Wu, J. H. Y., & Marklund, M. (2023). Presence of trans-Fatty Acids Containing Ingredients in Pre-Packaged Foods and the Availability of Reported trans-Fat Levels in Kenya and Nigeria. Nutrients, 15(3), 761. https://doi.org/10.3390/nu15030761

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