Next Article in Journal
Deciphering the Efficacy and Mechanism of Astragalus membranaceus on High Altitude Polycythemia by Integrating Network Pharmacology and In Vivo Experiments
Next Article in Special Issue
A Culturally Sensitive and Theory-Based Intervention on Prevention and Management of Diabetes: A Cluster Randomized Control Trial
Previous Article in Journal
Association of the Gut Microbiota with the Host’s Health through an Analysis of Biochemical Markers, Dietary Estimation, and Microbial Composition
Previous Article in Special Issue
Combined Physical Exercise and Diet: Regulation of Gut Microbiota to Prevent and Treat of Metabolic Disease: A Review
 
 
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 23
10.3390/nu14234967
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

Padres Preparados, Jóvenes Saludables: A Randomized Controlled Trial to Test Effects of a Community-Based Intervention on Latino Father’s Parenting Practices

by
Aysegul Baltaci
1,*,
Ghaffar Ali Hurtado Choque
2,
Cynthia Davey
3,
Alejandro Reyes Peralta
4,
Silvia Alvarez de Davila
4,
Youjie Zhang
5,
Abby Gold
4,
Nicole Larson
1 and
Marla Reicks
6
1
School of Public Health, University of Minnesota, Minneapolis, MN 55455, USA
2
School of Public Health, University of Maryland, College Park, MD 20742, USA
3
Clinical and Translational Science Institute, University of Minnesota, Minneapolis, MN 55455, USA
4
Center for Family Development, University of Minnesota Extension, Saint Paul, MN 55108, USA
5
Department of Child and Adolescent Health and Social Medicine, School of Public Health, Medical College of Soochow University, Suzhou 215123, China
6
Department of Food Science and Nutrition, University of Minnesota, Saint Paul, MN 55108, USA
*
Author to whom correspondence should be addressed.
Nutrients 2022, 14(23), 4967; https://doi.org/10.3390/nu14234967
Submission received: 28 October 2022 / Revised: 17 November 2022 / Accepted: 18 November 2022 / Published: 23 November 2022
(This article belongs to the Special Issue Combined Nutrition and Exercise Interventions in Community Groups)
Browse Figure
Versions Notes

Abstract

:
Parenting practices have been associated with adolescent lifestyle behaviors and weight status. Evidence is limited regarding the efficacy of interventions to address father influences on adolescent lifestyle behaviors through availability and modeling practices. Therefore, the purpose of this study was to evaluate changes in father parenting practices after Latino families with adolescents participated in the Padres Preparados Jóvenes Saludables (Padres) program. Time-1 (baseline) and Time-2 (post-intervention) data were used from Latino father/adolescent (10–14 years) dyads enrolled in the Padres two-arm (intervention vs. delayed-treatment control group) randomized controlled trial in four community locations. The program had eight weekly, 2.5-h experiential learning sessions on food preparation, parenting practices, nutrition, and physical activity. Two types of parenting practices (role modeling and home food availability) were assessed by father report via questionnaire for each of 7 lifestyle behaviors, for a total of 14 parenting practices. Linear regression mixed models were used to evaluate the intervention effects. A total of 94 father/adolescent dyads completed both Time-1 and Time-2 evaluations. Significant positive intervention effects were found for frequencies of fruit modeling (p = 0.002) and screen time modeling (p = 0.039). Non-significant results were found for the other 12 father parenting practices.

1. Introduction

Many adolescents in the U.S., including Mexican American and other Hispanic adolescents, have poor dietary behaviors [1,2,3], low levels of physical activity, and frequent screen time [4,5]. These behaviors have been identified as critical behavioral determinants of obesity among adolescents [6]. Childhood obesity increases the risk of developing a variety of health complications and chronic diseases, such as becoming overweight or obese as an adult and developing diabetes, metabolic disorders, and heart disease [7,8]. The current Dietary Guidelines for Americans (DGAs) [9] recommend that U.S adults and adolescents increase their intakes of nutrient-dense foods and a variety of fruits and vegetables while limiting energy-dense foods and beverages to meet the recommended food group and nutrient needs to achieve healthy dietary patterns.
Physical activity is defined as any kind of body movement produced by the skeletal muscles that substantially increases energy expenditure [10]. Adequate physical activity during adolescence may contribute to various short- and long-term benefits for the health and wellbeing of adolescents, including a higher level of cardiorespiratory fitness, stronger muscles and bones, lower body fat, and lower symptoms of depression compared to having an inactive lifestyle [11,12]. On the other hand, screen time is a common sedentary behavior among adolescents in the U.S. [13]. Screen time can contribute to increased risk of adiposity, elevated serum triglyceride concentrations, and metabolic syndrome in adolescents [14].
Parenting practices, which influence these health behaviors, have been defined as intentional or unintentional behaviors/actions by parents that shape their child’s attitudes, behaviors, or beliefs [15]. Previous studies have highlighted the positive influence of parenting practices on adolescents’ dietary behaviors [16], physical activity, and screen time [17,18,19]. Several qualitative and cross-sectional studies have shown that Latino parents play a positive role in improving older children and adolescents’ lifestyle behaviors [20,21,22,23,24,25,26] and weight status [27,28] by engaging in positive food parenting practices. However, these studies have primarily focused on Latino mothers and their adolescents, and little research is available assessing father influences on adolescent lifestyle behaviors and health outcomes.
The limited literature available on the influence of Latino father parenting practices on adolescent behaviors has shown positive findings [20,25,28]. A cross-sectional study with 81 Mexican-origin fathers and children aged 7–13 years who participated in the Entre Familia: Reflejos de Salud study showed that children consumed more fruit and vegetables when their fathers used feeding-related reinforcement of healthy eating more frequently [25]. Another study with 174 mother-father-child triads (8–10 years of age) demonstrated that a father’s healthy BMI was related to a child’s healthy BMI z-score [28]. Latino fathers of adolescents reported in focus groups that role modeling and making healthy food and physical activity opportunities available were parenting practices that could help adolescents have healthier food and activity behaviors [21]. Therefore, interventions that focus on Latino father parenting practices to promote healthy lifestyles among Latino youth may be beneficial.
The primary goal of the Padres Preparados, Jóvenes Saludables (Padres) (Prepared Parents, Healthy Youth) program was to prevent overweight and obesity among Latino adolescents in low-income households by increasing the frequency of healthy father food and activity parenting practices [29]. The Padres program was adapted from a successful community-based parenting skills education program to prevent substance use among Latino parents and adolescents [30]. The program was grounded in social cognitive theory [31,32] and based on the principles of community-based participatory research [33], with collaboration from community partners in all design and implementation processes [20]. The aims of the current study were 1) to determine baseline (Time-1) to post-intervention (Time-2) changes in father parenting practices (role modeling and making foods and physical activity opportunities available) in a RCT study with intervention and delayed-treatment control groups, and 2) to assess the intervention effect on changes in father parenting practices from Time-1 to Time-2, adjusted for father age and adolescent age and sex.

2. Materials and Methods

2.1. Study Design and Sample

This study used Time-1 (baseline) and Time-2 data (after the 8-week program was conducted for the intervention group) from the Padres program trial [29]. The primary outcomes of the randomized controlled intervention trial (identifier: NCT03641521), which were father and adolescent dietary intake and weight status, are reported elsewhere, as well as intervention details [29]. This paper reports on secondary outcomes regarding the frequency of father parenting practices.
Latino fathers or male caregivers (hereafter referred to as fathers) of adolescents 10–14 years, who identified as Latino, spoke Spanish, and had meals at least three times a week with their adolescents were eligible for the study. Families were recruited using social media, flyers, and announcements at community service centers and churches primarily serving low-income Latino families. Fathers and adolescents completed surveys in person at Time-1 and Time-2. The study protocol was approved by the University of Minnesota Institutional Review Board (project identification code: 1511S80707).

2.2. Intervention

Father/adolescent dyads were randomized to either an intervention or a delayed-treatment control group [29]. The program was implemented in person at four locations (community service centers and churches) in the Minneapolis/St. Paul metropolitan area between September 2017 and December 2019. In-person implementation was discontinued in March 2020 and not resumed because of public health efforts to limit the transmission of COVID-19. During the intervention, fathers and adolescents attended eight weekly, 2.5-h experiential learning sessions facilitated by bilingual Latino educators. In each session, fathers and adolescents participated together in activities to prepare food, be physically active and learn about nutrition and active lifestyles. In separate parts of each session, fathers participated in activities to develop parenting skills and improve frequency of parenting practices, while adolescents participated in activities to reinforce learning about healthy lifestyle behaviors.

2.3. Participation in Evaluation Data Collection

A total of 303 father-adolescent dyads expressed interest in participating in the study (Figure 1). Of those, 266 were screened for eligibility over the telephone and 234 were identified as eligible. Of the 234 dyads, 54 did not attend the Time-1 data collection session, and 20 dyads did not complete the data collection procedures. Time-1 data collection sessions were completed by 147 father/adolescent dyads, with 94 father/adolescent dyads completing both Time-1 and Time-2 data collection.

2.4. Sociodemographic Characteristics

Fathers reported their age, years in the U.S., education, employment status, marital status, family annual income, and language spoken at home via surveys. For ease in describing characteristics, education was categorized as middle school or lower, GED (equivalent to a high school diploma) or high school, and some college or higher. Employment was collapsed into four categories: self-employed, unemployed, employed part-time, and employed full-time. Marital status was categorized as single or married/living with a partner.
Adolescents reported their own birthdates and sex. Adolescent age at Time-1 was calculated by subtracting the birthdate from the date of Time-1 data collection divided by the number of days each year (365; 366 for leap years).

2.5. Anthropometric Measurements

Adolescents’ and fathers’ body weight and height were measured separately twice in a private space using a digital scale (BWB-800 Scale, Tanita) and a stadiometer by a trained research assistant, according to standardized procedures of the National Health and Nutrition Examination Survey (NHANES) [34]. Two measures of both weight and height were averaged to obtain mean weight and height. Fathers’ body mass index (BMI) was calculated using weight (kg) divided by height squared (m2). Adolescents’ BMI percentiles were generated by a SAS program using the 2000 CDC Growth Charts [35].

2.6. Father Food and Activity Parenting Practices

The frequency of two types of parenting practices (role modeling and home availability of food or activity opportunities) was assessed by father report via questionnaire for each of seven lifestyle behaviors (fruit, vegetable, sugar-sweetened beverage (SSB), fast food, sweets/salty snack consumption, and frequency of physical activity and screen time) for a total of 14 father food and activity parenting practices. The questionnaire had a total of 33 items, including two items for each of seven role modeling scales, three items for each of six food/activity availability at home scales, and one item for screen time availability at home. Parenting practice questions were developed based on findings from focus groups with Latino fathers [20] and existing validated scales [36,37,38]. Father food and activity parenting practice items and scales showed adequate criterion validity in a preliminary study and internal consistency for all scales based on Cronbach’s α coefficients >0.7 [39].
Fathers were asked two questions about role-modeling frequency, separately, for fruit, vegetable, SSB, fast food, and sweets/salty snack consumption and physical activity and screen time, including (1) how many times fathers were seen by adolescents consuming each type of food or beverage or engaging in physical activity, and (2) how many times fathers consumed each type of food or beverage and engaged in physical activity with adolescents. Response options were almost never or never = 1, <1 time/week = 2, 1–3 times/week = 3, 4–6 times/week = 4, and once a day or more = 5. Responses were coded, summed, and averaged to create a score for each food type or activity.
Fathers were asked three questions about the frequency of practices regarding making fruit, vegetables, SSBs, fast food, sweets/salty snacks, and physical activity available at home. Availability of screen time opportunities was assessed with only one question. Making fruit and vegetables available at home was assessed separately by frequency of fathers (1) buying, (2) preparing, and (3) making sure adolescents had different kinds of fruits and vegetables. Making SSBs, sweets/salty snacks, and fast food available at home was assessed separately for each type of food/beverages by the frequency of fathers (1) buying, (2) preparing, and (3) giving money to adolescents to buy these foods. Making physical activity available was assessed by the frequency of fathers (1) taking their adolescent to a place he/she can be physically active, (2) sending their adolescent outside to be physically active when the weather is nice, and (3) making opportunities available for their adolescent to be physically active. Making screen time available was assessed by the frequency of fathers making screen time opportunities available to their adolescents. Response options for all availability questions were almost never or never = 1, rarely = 2, sometimes = 3, often = 4, and almost always or always = 5. The responses to the three questions for each lifestyle behavior, except for screen time, were coded, summed, and averaged to create an availability score.

2.7. Data Analysis

Initial sample size and power calculations were completed based on expected primary program outcomes as described elsewhere [29]. Post hoc power calculations were completed using nQuery sample size software (Version 4.0.0.0) to determine the power available to detect the observed between-group differences in parenting practice outcomes as significant at alpha = 0.05, using the study sample size in each group.
All fathers who had both Time-1 and Time-2 data were included in the analysis of parenting practice frequency. The first aim of the analysis was to describe observed changes in parenting practices. Descriptive statistics for Time-1 sociodemographic characteristics and Time-1-to-Time-2 changes for parenting practices for intervention and delayed-treatment control groups were assessed using independent two-sample t-tests, Chi-square and Fisher’s exact tests.
Linear regression mixed models were used to address the second aim, which was to assess adjusted differences in mean change from Time-1 to Time-2 in father parenting practices outcomes between the intervention and delayed-treatment control groups. The mixed models were adjusted for father age and adolescent sex and age. Additionally, the models included a random intercept for sites and a random intercept for fathers nested within sites to account for clustering of fathers within sites.
All analysis was performed using SAS software version 9.4 (Cary, NC, USA, 2002–2012) with statistical significance defined as p < 0.05.

3. Results

The retention rate was 64% for father/adolescent dyads based on withdrawal from the study because of relocation, scheduling conflicts, or loss to follow-up. Mean BMI for the fathers who completed Time-1 and Time-2 data collection (n = 94) was 29.7 vs. 28.3 for the fathers who only completed Time-1 data collection (p = 0.041). Adolescent sex (p = 0.013) was significantly different between those whose fathers completed both Time-1 and Time-2 data collections and those whose fathers only completed Time-1 data collection.
Of 147 father/adolescent dyads, 77 were randomized into the intervention group, and 70 were randomized into the delayed-treatment control group. Random assignment was not followed correctly by 11 father/adolescent dyads (4 father/adolescent dyads randomized to intervention attended the delayed-treatment control group educational sessions, while 7 father/adolescent dyads randomized to the delayed-treatment control group attended the intervention group). Therefore, there were 80 father/adolescent dyads in the intervention group educational sessions, and 67 father/adolescent dyads in the delayed-treatment control group educational sessions. Of the 94 fathers/adolescent dyads who completed both Time-1 and Time-2 data, 48 were in the intervention group, and 46 were in the delayed-treatment control group.
Overall, the demographic characteristics of fathers and adolescents in the intervention and delayed-treatment control groups were similar at Time-1 (Table 1). The mean father age was 42.1 (7.4) years. Most fathers reported having a yearly household income of ≤$49,999 (87%), completing high school or less (77%), being employed full-time (72%), speaking exclusively to primarily Spanish at home (81%), being married (86%), and having lived in the U.S. for more than 10 years (98%). The mean BMI of all the fathers was 29.7 kg/m2. The mean age of the adolescents was 12.2 (1.4) years, with 62% being male and 38% female. The mean BMI percentile of all adolescents was 77.6.
The means and standard deviations of Time-1 parenting practices were reported for the treatment groups in Table 2. The Time-1 intervention fathers’ frequency of fruit role modeling was significantly lower than that of the fathers in the delayed-treatment control group (p = 0.020). Also, the Time-1 frequency of screen time role modeling was significantly higher in the intervention fathers compared to the delayed-treatment control group fathers (p = 0.047). From Time-1 to Time-2, the intervention fathers reported an increased mean for fruit role modeling frequency (Mean = 0.44, SD = 0.97, p = 0.001) and a decreased mean for screen time modeling frequency (Mean = –0.22, SD = 1.18, p = 0.028) compared to the fathers in the delayed-treatment control group, based on unadjusted tests for paired data (Table 3).
After adjusting for covariates (Table 4), the intervention fathers had a significantly increased adjusted mean for fruit modeling frequency and decreased adjusted mean for screen time modeling frequency compared to the delayed-treatment fathers [group*time (SE) = 0.63 (0.19), p = 0.002 for fruit modeling; group*time (SE) = −0.49 (0.24), p = 0.039 for screen time modeling] based on linear regression mixed models (Table 4).

4. Discussion

This randomized controlled trial examined the effects of the Padres program on Latino fathers’ food and activity parenting practices. Compared to the delayed treatment control group fathers, the intervention group fathers reported a higher adjusted mean change for fruit modeling frequency and a lower adjusted mean change for screen time modeling frequency from Time-1 to Time-2. Overall, this study identified a moderate positive intervention effect for 2 of 14 parenting practices (adjusted models), including fruit and screen time role modeling. In other studies, role modeling behaviors were associated with greater healthy food consumption [16] and with sedentary activity [40,41] among children and adolescents.
A limited number of studies have examined improvements in Latino food parenting practices in community-based programs, resulting in few studies available for comparison to the current study. One study with primarily low-income Hispanic parents (95% mothers) and children (3–11 years) showed Time-1 to Time-2 intervention improvements in two parenting practices involving food availability [42] but not in frequency of food intake role modeling. This finding was in contrast to the current study, where the intervention group fathers had a mean increase in fruit modeling frequency and a mean decrease in screen time modeling frequency compared to the delayed-treatment control group fathers. The previous intervention was a pilot study [42] with primarily mothers and did not include a control group; therefore, the results were not directly comparable to the results of the current study.
The current study demonstrated no intervention effects for most of the parenting practices, which could be related to ceiling effects. The majority of the fathers in both groups reported a high frequency of healthful food and activity practices and a low frequency of most of the unhealthful food and activity practices at Time-1, except for screen time modeling and availability. For example, intervention fathers reported role modeling screen time more than 1–3 times a week and role modeling sweets/salty snacks and fast food intake less than once a week. Thus, fathers who reported a high frequency of unhealthful food and activity practices before the intervention may have been better able to apply what they learned during the intervention to improve the frequency of some parenting practices.
Another possible explanation for not observing improvements for most parenting practices in the current study could be associated with social determinants of health. Evidence from previous studies demonstrates that being part of a low-income household and having lower educational attainment are two key social factors associated with poor health in the United States [43]. Racial and ethnic minorities with low socioeconomic status, including the Hispanic/Latino population, often experience health disparities [43,44]. The majority of fathers in this study had a high school diploma or less (79%) and had lower-incomes (87%), even though most had full-time employment. The role of fathers as family providers with busy work schedules may have kept fathers from implementing parenting practices. For example, limited resources to purchase healthy foods may have restricted the ability to make healthy foods available at home and/or role model healthy food intake. Also, fathers who work long hours may have limited time to interact with adolescents and apply parenting practices; thus, a longer period of time from post-intervention to the completion of evaluation surveys might have allowed fathers to better apply the practices promoted in the program.
This study had several limitations. The COVID-19 pandemic did not allow for continued in-person program implementation after March 2020, thus limiting the sample size. The low retention rate and smaller sample size than expected resulted in the study being underpowered to detect significant changes in most of the parenting practice comparisons. The Padres program was only implemented in community centers and churches in the Minneapolis/St. Paul metropolitan area and only with low-income families, which limited the generalizability of study findings to the broader Latino/Hispanic population. Defining groups by randomization (not by group assignments) might cause bias in the group comparisons, since the randomization assignments were not followed correctly for eleven dyads. Not correctly following assignments may have occurred because participants in some locations may have known each other and preferred to attend sessions with relatives or friends or needed to share transportation. However, similar results were obtained from a sensitivity analysis when the group comparisons were defined by participation instead of randomization. Another potential limitation is that delayed-treatment control participants may have been exposed to the intervention, since participants may have known each other. Also, participants may have enrolled in this study because of an interest in nutrition and health and/or financial compensation, which could have biased the intervention data.

5. Conclusions

The current study showed positive adjusted Time-1 to Time-2 change in two parenting practices between groups, including an adjusted mean increase in fruit role modeling frequency and an adjusted mean decrease in screen time modeling frequency among intervention group participants compared to delayed-treatment control group participants. Overall, only 2 of 14 Latino father parenting practices were reported to be improved after the intervention. The lack of significant findings for other parenting practices may be associated with the limited sample size, low family socioeconomic status, and possible ceiling effects of baseline paternal parenting practices. Future studies could consider social determinants of health and family strengths when developing interventions to support an increase in healthy Latino father parenting practices.

Author Contributions

Conceptualization, A.B., G.A.H.C., S.A.d.D., Y.Z. and M.R.; methodology, G.A.H.C., A.R.P., A.G. and N.L.; software, C.D.; formal analysis, A.B. and C.D.; investigation, A.B., A.R.P., S.A.d.D., Y.Z. and M.R.; writing—original draft preparation, A.B.; writing—review and editing, A.B., G.A.H.C., C.D., A.R.P., S.A.d.D., Y.Z., A.G., N.L. and M.R.; visualization, A.B.; supervision, M.R.; project administration, M.R.; funding acquisition, G.A.H.C. and M.R. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Agriculture and Food Research Initiative, grant number 2016-68001-24921, from the USDA National Institute of Food and Agriculture.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki and approved by the Institutional Review Board of the University of Minnesota Institutional Review Board (project identification code: 1511S80707) for studies involving humans.

Informed Consent Statement

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

Data Availability Statement

The de-identified data and SAS codes used in this study are available on request from the corresponding author. The data are not publicly available because the data analysis phase of the study is still currently being completed, while the intervention and all data collection have been completed.

Acknowledgments

The authors thank the participants, community partners, and organizations for their participation and support; and graduate and undergraduate students for their help in the development of the program, facilitating the program, and collecting evaluation data. Research reported in this publication was supported by the National Center for Advancing Translational Sciences of the National Institutes of Health Award Number UL1-TR002494. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

References

  1. Dunford, E.; Popkin, B. 37 year snacking trends for US children 1977–2014. Pediatr. Obes. 2018, 13, 247–255. [Google Scholar] [CrossRef]
  2. Vikraman, S.; Fryar, C.D.; Ogden, C.L. Caloric Intake from Fast Food among Children and Adolescents in the United States, 2011–2012; NCHS Data Brief, no 213; National Center for Health Statistics: Hyattsville, MD, USA, 2015. [Google Scholar]
  3. Kim, S.A.; Moore, L.V.; Galuska, D.; Wright, A.P.; Harris, D.; Grummer-Strawn, L.M.; Merlo, C.L.; Nihiser, A.J.; Rhodes, D.G. Vital signs: Fruit and Vegetable Intake among Children—United States, 2003–2010. Morb. Mortal. Wkly. Rep. 2014, 63, 671–676. Available online: https://www.cdc.gov/mmwr/preview/mmwrhtml/mm6331a3.htm (accessed on 3 November 2020).
  4. National Physical Activity Plan Alliance. The 2018 United States Report Card on Physical Activity for Children and Youth; National Physical Activity Plan Alliance: Washington, DC, USA, 2018; Available online: https://paamovewithus.org/wp-content/uploads/2020/06/2018-US-Report-Card-Summary_WEB.pdf (accessed on 13 August 2020).
  5. Yang, L.; Cao, C.; Kantor, E.D.; Nguyen, L.H.; Zheng, X.; Park, Y.; Giovannucci, E.L.; Matthews, C.E.; Colditz, G.A.; Cao, Y. Trends in sedentary behavior among the US population, 2001–2016. J. Am. Med. Assoc. 2019, 321, 1587–1597. [Google Scholar] [CrossRef]
  6. Rennie, K.L.; Johnson, L.; Jebb, S.A. Behavioural determinants of obesity. Best Pr. Res. Clin. Endocrinol. Metab. 2005, 19, 343–358. [Google Scholar] [CrossRef]
  7. Gordon-Larsen, P.; The, N.S.; Adair, L.S. Longitudinal trends in obesity in the United States from adolescence to the third decade of life. Obesity 2010, 18, 1801–1804. [Google Scholar] [CrossRef] [PubMed]
  8. Bösch, S.; Lobstein, T.; Brinsden, H.; Ralston, J.; Bull, F.; Willumsen, J.; Branca, F.; Engesveen, K.; Grummer-Strawn, L.; Nishida, C.; et al. Taking Action on Childhood Obesity; World Health Organization: Geneva, Switzerland; World Obesity: London, UK, 2018; Available online: https://apps.who.int/iris/bitstream/handle/10665/274792/WHO-NMH-PND-ECHO-18.1-eng.pdf?ua=1 (accessed on 30 October 2018).
  9. U.S. Department of Agriculture; U.S. Department of Health and Human Services. 2020–2025 Dietary Guidelines for Americans, 9th ed.; U.S. Department of Agriculture: Washington, DC, USA; U.S. Department of Health and Human Services: Washington, DC, USA, 2020. Available online: https://www.dietaryguidelines.gov/ (accessed on 6 August 2021).
  10. World Health Organization. Physical Activity. 2018. Available online: https://www.who.int/news-room/fact-sheets/detail/physical-activity (accessed on 13 August 2020).
  11. Wu, X.Y.; Han, L.H.; Zhang, J.H.; Luo, S.; Hu, J.W.; Sun, K. The influence of physical activity, sedentary behavior on health-related quality of life among the general population of children and adolescents: A systematic review. PLoS ONE 2017, 12, e0187668. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. U.S. Department of Health and Human Services. Physical Activity Guidelines for Americans, 2nd ed.; U.S. Department of Health and Human Services: Washington, DC, USA, 2018. Available online: https://health.gov/sites/default/files/2019-09/Physical_Activity_Guidelines_2nd_edition.pdf (accessed on 15 July 2019).
  13. Pearson, N.; Biddle, S.J.H. Sedentary behavior and dietary intake in children, adolescents, and adults: A systematic review. Am. J. Prev. Med. 2011, 41, 178–188. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Barnett, T.A.; Kelly, A.S.; Rohm Young, D.; Perry, C.K.; Pratt, C.A.; Edwards, N.M.; Rao, G.; Vos, M.B.; on behalf of American Heart Association Obesity Committee of the Council on Lifestyle; Cardiometabolic Health; et al. Sedentary behaviors in today’s youth: Approaches to the prevention and management of childhood obesity. Circulation 2018, 138, e142–e159. [Google Scholar] [CrossRef] [PubMed]
  15. Vaughn, A.E.; Ward, D.S.; Fisher, J.O.; Faith, M.S.; Hughes, S.O.; Kremers, S.P.J.; Musher-Eizenman, D.R.; O’Connor, T.M.; Patrick, H.; Power, T.G. Fundamental constructs in food parenting practices: A content map to guide future research. Nutr. Rev. 2016, 74, 98–117. [Google Scholar] [CrossRef] [Green Version]
  16. Yee, A.Z.H.; Lwin, M.O.; Ho, S.S. The influence of parental practices on child promotive and preventive food consumption behaviors: A systematic review and meta-analysis. Int. J. Behav. Nutr. Phys. Act. 2017, 14, 1–14. [Google Scholar] [CrossRef] [Green Version]
  17. Hutchens, A.; Lee, R.E. Parenting practices and children’s physical activity: An integrative review. J. Sch. Nurs. 2018, 34, 68–85. [Google Scholar] [CrossRef]
  18. Xu, H.; Wen, L.M.; Rissel, C. Associations of parental influences with physical activity and screen time among young children: A systematic review. J. Obes. 2015, 2015, 546925. [Google Scholar] [CrossRef] [Green Version]
  19. Ramirez, E.R.; Norman, G.J.; Rosenberg, D.E.; Kerr, J.; Saelens, B.E.; Durant, N.; Sallis, J.F. Adolescent screen time and rules to limit screen time in the home. J. Adolesc. Health 2011, 48, 379–385. [Google Scholar] [CrossRef] [Green Version]
  20. Zhang, Y.; Hurtado, G.A.; Flores, R.; Alba-Meraz, A.; Reicks, M. Latino fathers’ perspectives and parenting practices regarding eating, physical activity, and screen time behaviors of early adolescent children: Focus group findings. J. Acad. Nutr. Diet. 2018, 118, 2070–2080. [Google Scholar] [CrossRef]
  21. Flores, G.; Maldonado, J.; Durán, P. Making tortillas without lard: Latino parents’ perspectives on healthy eating, physical activity, and weight-management strategies for overweight Latino children. J. Acad. Nutr. Diet. 2012, 112, 81–89. [Google Scholar] [CrossRef]
  22. Santiago-Torres, M.; Adams, A.K.; Carrel, A.L.; LaRowe, T.L.; Schoeller, D.A. Home food availability, parental dietary intake, and familial eating habits influence the diet quality of urban Hispanic children. Child. Obes. 2014, 10, 408–415. [Google Scholar] [CrossRef]
  23. Ayala, G.X.; Baquero, B.; Arredondo, E.M.; Campbell, N.; Larios, S.; Elder, J.P. Association between family variables and Mexican American children’s dietary behaviors. J. Nutr. Educ. Behav. 2007, 39, 62–69. [Google Scholar] [CrossRef]
  24. Springer, A.E.; Kelder, S.H.; Barroso, C.S.; Drenner, K.L.; Shegog, R.; Ranjit, N.; Hoelscher, D.M. Parental influences on television watching among children living on the Texas—Mexico border. Prev. Med. 2010, 51, 112–117. [Google Scholar] [CrossRef]
  25. Parada, H.; Ayala, G.X.; Horton, L.A.; Ibarra, L.; Arrendondo, E.M. Latino fathers’ feeding-related parenting strategies on children’s eating. Ecol. Food Nutr. 2016, 55, 292–307. [Google Scholar] [CrossRef] [Green Version]
  26. LeCroy, M.N.; Siega-Riz, A.M.; Albrecht, S.S.; Ward, D.S.; Cai, J.; Perreira, K.M.; Isasi, C.R.; Mossavar-Rahmani, Y.; Gallo, L.C.; Castañeda, S.F.; et al. Association of food parenting practice patterns with obesogenic dietary intake in Hispanic/Latino youth: Results from the Hispanic Community Children’s Health Study/Study of Latino Youth (SOL Youth). Appetite 2019, 140, 277–287. [Google Scholar] [CrossRef]
  27. Tschann, J.M.; Martinez, S.M.; Penilla, C.; Gregorich, S.E.; Pasch, L.A.; de Groat, C.L.; Flores, E.; Deardorff, J.; Greenspan, L.C.; Butte, N.F. Parental feeding practices and child weight status in Mexican American families: A longitudinal analysis. Int. J. Behav. Nutr. Phys. Act. 2015, 12, 1–10. [Google Scholar] [CrossRef]
  28. Penilla, C.; Tschann, J.M.; Deardorff, J.; Flores, E.; Pasch, L.A.; Butte, N.F.; Gregorich, S.E.; Greenspan, L.C.; Martinez, S.M.; Ozer, E. Fathers’ feeding practices and children’s weight status in Mexican American families. Appetite 2017, 117, 109–116. [Google Scholar] [CrossRef] [PubMed]
  29. Baltaci, A.; Hurtado Choque, G.A.; Davey, C.; Reyes Peralta, A.; Alvarez de Davila, S.; Zhang, Y.; Gold, A.; Larson, N.; Reicks, M. Padres Preparados, Jóvenes Saludables: Intervention impact and dose effects of a randomized controlled trial on Latino father and adolescent energy balance-related behaviors. BMC Public Health 2022, 22, 1–14. [Google Scholar] [CrossRef]
  30. Allen, M.L.; Garcia-Huidobro, D.; Hurtado, G.A.; Allen, R.; Davey, C.S.; Forster, J.L.; Hurtado, M.; Lopez-Petrovich, K.; Marczak, M.; Reynoso, U.; et al. Immigrant family skills-building to prevent tobacco use in Latino youth: Study protocol for a community-based participatory randomized controlled trial. Trials 2012, 13, 242. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  31. Bandura, A.; Cliffs, N.J. Social Foundations of Thought and Action: A Social Cognitive Theory; First printing; Prentice-Hall: Englewood, CL, USA, 1986; p. 376. [Google Scholar]
  32. McAlister, A.L.; Perry, C.L.; Parcel, G.S. How individuals, environments, and health behaviors interact: Social Cognitive Theory. In Health Behaviors and Health Education: Theory, Research, and Practice, 4th ed.; Glanz, K., Rimer, B.K., Viswanath, K., Eds.; Jossey-Bass: San Francisco, CA, USA, 2008; pp. 169–188. [Google Scholar]
  33. Arroyo-Johnson, C.; Allen, M.L.; Colditz, G.A.; Hurtado, G.A.; Davey, C.S.; Thompson, V.L.S.; Drake, B.F.; Svetaz, M.V.; Rosas-Lee, M.; Goodman, M.S. A table of two community networks program centers: Operationalizing and assessing CBPR principles and evaluating partnership outcomes. Prog. Community Health Partn. 2015, 9, 61–69. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Centers for Disease Control and Prevention. National Health and Nutrition Examination Survey (NHANES), Anthropometric Procedures Manual; Centers for Disease Control and Prevention: Atlanta, GA, USA, 2017. Available online: https://wwwn.cdc.gov/nchs/data/nhanes/2017-2018/manuals/2017_Anthropometry_Procedures_Manual.pdf (accessed on 21 September 2020).
  35. Centers for Disease Control and Prevention. Growth Chart Training- A SAS Program for the 2000 CDC Growth Chart (Ages 0 to <20 Years); Centers for Disease Control and Prevention: Atlanta, GA, USA, 2022. Available online: https://www.cdc.gov/nccdphp/dnpao/growthcharts/resources/sas.htm#print (accessed on 8 September 2020).
  36. Pinard, C.A.; Yaroch, A.L.; Hart, M.H.; Serrano, E.L.; McFerren, M.M.; Estabrooks, P.A. The validity and reliability of the Comprehensive Home Environment Survey (CHES). Health Promot. Pract. 2014, 15, 109–117. [Google Scholar] [CrossRef]
  37. Singh, A.S.; Chinapaw, M.J.; Uijtdewilligen, L.; Vik, F.N.; van Lippevelde, W.; Fernández-Alvira, J.M.; Stomfai, S.; Manios, Y.; van der Sluijs, M.; Terwee, C.; et al. Test-retest reliability and construct validity of the ENERGY-parent questionnaire on parenting practices, energy balance-related behaviours and their potential behavioural determinants: The ENERGY-project. BMC Res. Notes 2012, 5, 434. [Google Scholar] [CrossRef] [Green Version]
  38. Matthews-Ewald, M.R.; Posada, A.; Wiesner, M.; Olvera, N. An exploratory factor analysis of the Parenting strategies for Eating and physical Activity Scale (PEAS) for use in Hispanic mothers of adolescent and preadolescent daughters with overweight. Eat Behav. 2015, 19, 193–199. [Google Scholar] [CrossRef]
  39. Zhang, Y.; Reyes Peralta, A.; Arellano Roldan Brazys, P.; Hurtado, G.A.; Larson, N.; Reicks, M. Development of a survey to assess Latino fathers’ parenting practices regarding energy balance–related behaviors of early adolescents. Health Educ. Behav. 2020, 47, 123–133. [Google Scholar] [CrossRef]
  40. Gebremariam, M.K.; Henjum, S.; Terragni, L.; Torheim, L.E. Correlates of screen time and mediators of differences by parental education among adolescents. Food Nutr. Res. 2016, 60, 32512. [Google Scholar] [CrossRef] [Green Version]
  41. Bassul, C.; Corish, C.A.; Kearney, J.M. Associations between Home Environment, Children’s and Parents’ Characteristics and Children’s TV Screen Time Behavior. Int. J. Environ. Res. Public Health 2021, 18, 1589. [Google Scholar] [CrossRef]
  42. Otterbach, L.; Mena, N.Z.; Greene, G.; Redding, C.A.; Groot A de Tovar, A. Community-based childhood obesity prevention intervention for parents improves health behaviors and food parenting practices among Hispanic, low-income parents. BMC Obes. 2018, 5, 11. [Google Scholar] [CrossRef] [Green Version]
  43. Braveman, P.; Egerter, S.; Williams, D.R. The social determinants of health: Coming of age. Annu Rev. Public Health 2011, 32, 381–398. [Google Scholar] [CrossRef] [Green Version]
  44. Thornton, R.L.J.; Glover, C.M.; Cené, C.W.; Glik, D.C.; Henderson, J.A.; Williams, D.R. Evaluating strategies for reducing health disparities by addressing the social determinants of health. Health Aff. 2016, 35, 1416–1423. [Google Scholar] [CrossRef]
Nutrients 14 04967 g001 550
Figure 1. CONSORT diagram (Father/adolescent dyads) [29]. 1 Participants reported frequency of paternal parenting practices; 2 Four participant dyads were randomized to intervention but attended delayed-treatment control group educational sessions; 3 Seven participant dyads were randomized to delayed-treatment control but attended intervention group sessions.
Figure 1. CONSORT diagram (Father/adolescent dyads) [29]. 1 Participants reported frequency of paternal parenting practices; 2 Four participant dyads were randomized to intervention but attended delayed-treatment control group educational sessions; 3 Seven participant dyads were randomized to delayed-treatment control but attended intervention group sessions.
Nutrients 14 04967 g001
Table
Table 1. Time-1 father and adolescent demographic characteristics (n = 94).
Table 1. Time-1 father and adolescent demographic characteristics (n = 94).
Demographic CharacteristicsAll
n = 94		Intervention
n = 48		Delayed
Treatment
Control
n = 46		p-Values
Father demographics
Age, mean (SD 1)42.1 (7.4)43.1 (7.1)41.1 (7.7)0.195 2
Annual income, n (%)
<$25,00038 (41.8)23 (48.9)15 (34.1)0.229 3
$25,000–<$50,00041 (45.0)20 (42.6)21 (47.7)
≥$50,00012 (13.2)4 (8.5)8 (18.2)
Marital status, n (%)
Married78 (85.7)41 (87.2)37 (84.1)0.674 4
Living with partner6 (6.6)2 (4.3)4 (9.1)
Single/widowed/divorced/separated7 (7.7)4 (8.5)33 (6.8)
Education, n (%)
Middle school or less33 (35.9)20 (41.7)13 (29.6)0.410 3
HS 1 grad or GED 138 (41.3)17 (35.4)21 (47.7)
College (any) or technical school21 (22.8)11 (22.9)10 (22.7)
Employment, n (%)
Self-employed10 (11.1)5 (10.6)5 (11.6)0.643 4
Unemployed/homemaker5 (5.6)3 (6.4)2 (4.7)
Part-time employment8 (8.9)6 (12.8)2 (4.7)
Full-time employment67 (74.4)33 (70.2)34 (79.1)
Years in the US, n (%)
<102 (2.2)1 (2.1)1 (2.3)0.834 4
10–<2052 (57.1)29 (61.7)23 (52.3)
20–<3033 (36.3)15 (31.9)18 (40.9)
≥304 (4.4)2 (4.3)2 (4.6)
Language, n (%)
More Spanish than English76 (81.7)37 (77.1)39 (86.7)0.515 4
Equal Spanish and English15 (16.1)10 (20.8)5 (11.1)
More English than Spanish2 (2.2)1 (2.1)1 (2.2)
Father BMI 1 (kg/m2), mean (SD 1)29.7 (3.7)29.5 (4.0)29.8 (3.4)0.728 2
Adolescent demographics
Age, mean (SD 1)12.2 (1.4)12.2 (1.5)12.1 (1.3)0.778 2
Sex, n (%)
Male58 (61.7)33 (68.8)25 (54.3)0.151 3
Female36 (38.3)15 (31.2)21 (45.7)
BMI 1 percentile 5, mean (SD 1)77.6 (23.8)80.3 (21.2)74.7 (26.2)0.260 2
1 SD = Standard Deviation, HS = High School, GED = General Educational Development test, BMI = body mass index; 2 Two sample t-test; 3 Chi-square test; 4 Fisher’s exact test; 5 Adolescent BMI percentiles for age and sex were calculated from SAS codes based on the 2000 CDC Growth Charts; p-value < 0.05.
Table
Table 2. Father-reported paternal parenting practices: Time-1 means and standard deviations for the intervention and delayed-treatment control groups (n = 94).
Table 2. Father-reported paternal parenting practices: Time-1 means and standard deviations for the intervention and delayed-treatment control groups (n = 94).
Paternal Parenting PracticesN 1All
n = 94		Intervention
n = 48		Control
n = 46		p-Values
Role modeling 3 times/week, mean (SD 2)
Fruit intake883.19 (0.93)2.95 (0.97)3.41 (0.97)0.020 *
Vegetable intake913.21 (0.98)3.15 (0.98)3.27 (0.99)0.549
SSBs 2 intake942.32 (1.03)2.36 (1.04)2.27 (1.02)0.663
Sweets/salty snack intake941.87 (0.86)1.89 (0.89)1.86 (0.84)0.882
Fast food intake921.85 (0.70)1.75 (0.71)1.95 (0.69)0.183
Physical activity902.75 (1.13)2.82 (1.19)2.67 (1.06)0.516
Screen time932.82 (1.10)3.04 (1.14)2.59 (1.02)0.047 *
Make available 4, mean (SD 2)
Fruit944.06 (0.74)4.09 (0.63)4.03 (0.83)0.672
Vegetables933.96 (0.84)4.03 (0.82)3.88 (0.86)0.370
SSBs 2931.77 (0.60)1.80 (0.60)1.75 (0.60)0.660
Sweets/salty snacks941.81 (0.66)1.88 (0.63)1.74 (0.68)0.306
Fast food941.90 (0.66)1.93 (0.71)1.86 (0.61)0.323
Physical activity933.77 (0.93)3.78 (0.86)3.77 (1.00)0.970
Screen time923.10 (1.09)3.23 (1.15)2.96 (1.02)0.223
1 N reported for each outcome; 2 SSB = Sugar-sweetened beverages, SD = Standard Deviation; 3 Role modeling frequency for fruit, vegetable, SSB, fast food, and sweets/salty snack consumption and physical activity and screen time was based on the average of two items with response options: almost never or never, <1 time/week, 1–3 times/week, 4–6 times/week, and once a day or more; 4 Frequency of making fruit, vegetable, SSB, fast food, and sweets/salty snack consumption and physical activity and screen time available at home was based on the average of three items with response options: almost never or never = 1, not often = 2, sometimes = 3, often = 4, and almost always or always = 5. * Indicates significant differences between groups. p-value < 0.05.
Table
Table 3. Time-1 to Time-2 changes in paternal food and activity parenting practices outcomes.
Table 3. Time-1 to Time-2 changes in paternal food and activity parenting practices outcomes.
Paternal Parenting Practices 1N 2All
n = 94		Intervention
n = 48		Control
n = 46		p Values
Role modeling times/week, mean (SD 3)
Fruit intake820.12 (0.95)0.44 (0.97)−0.23 (0.80)0.001 *
Vegetable intake880.10 (1.07)0.20 (0.98)0.00 (1.17)0.396
SSBs 3 intake91−0.36 (1.02)−0.45 (1.07)−0.27 (0.98)0.407
Sweets/salty snack intake94−0.09 (0.85)−0.19 (0.87)0.01 (0.81)0.258
Fast food intake90−0.12 (0.65)−0.16 (0.65)−0.08 (0.67)0.575
Physical activity900.01 (0.97)0.14 (0.97)−0.14 (0.96)0.175
Screen time910.04 (1.21)−0.22 (1.18)0.33 (1.18)0.028 *
Make available, mean (SD 3)
Fruit93−0.00 (0.68)0.06 (0.69)−0.06 (0.68)0.405
Vegetables930.02 (0.84)0.05 (0.88)−0.00 (0.81)0.766
SSBs 393−0.04 (0.78)−0.05 (0.88)−0.04 (0.81)0.934
Sweets/salty snacks94−0.12 (0.99)−0.25 (0.90)0.01 (1.07)0.204
Fast food940.10 (0.81)−0.03 (0.82)0.24 (0.79)0.108
Physical activity920.02 (0.78)0.02 (0.79)0.02 (0.79)0.991
Screen time92−0.05 (1.22)−0.04 (1.37)−0.07 (1.05)0.925
1 Two-sample t-test of difference in means; 2 N reported for each outcome; 3 SSB = Sugar-sweetened beverages, SD = Standard Deviation; * Indicates significant differences between groups. p-value < 0.05.
Table
Table 4. Adjusted group differences for Time-1 to Time-2 change in paternal food and activity parenting practice outcomes.
Table 4. Adjusted group differences for Time-1 to Time-2 change in paternal food and activity parenting practice outcomes.
Positive 2 Paternal Parenting Practices (Time-1 to Time-2 Change)Estimate (SE 1) and p-Value for Fixed Effects from Mixed Model 2 with Random
Intercept for Site and Random Intercept for Father Nested Within Site
Group 3
(Ref = Control)		Time 4
(Ref = Time-1)		Group * Time 5
(Ref = Control Time-1 to Time-2 Change)		p Values for Group * Time
Role modeling
Fruit intake−0.31 (0.16)−0.18 (0.14)0.63 (0.19)0.002 *
Vegetable intake−0.12 (0.17)0.05 (0.15)0.18 (0.21)0.414
SSBs 1 intake−0.03 (0.17)−0.33 (0.15)−0.11 (0.21)0.598
Sweets/salty snack intake0.01 (0.14)0.00 (0.12)−0.17 (0.17)0.298
Fast food intake−0.07 (0.12)−0.09 (0.09)−0.11 (0.13)0.395
Physical activity0.04 (0.18)−0.11 (0.14)0.29 (0.20)0.142
Screen time0.38 (0.19)0.28 (0.17)−0.49 (0.24)0.039 *
Make Available
Fruit−0.07 (0.14)−0.05 (0.10)0.16 (0.14)0.254
Vegetables0.01 (0.15)0.02 (0.12)0.10 (0.17)0.566
SSBs 1−0.04 (0.12)−0.11 (0.11)0.03 (0.16)0.854
Sweets/salty snacks0.11 (0.12)0.01 (0.13)−0.25 (0.18)0.174
Fast food0.02 (0.12)0.19 (0.11)−0.22 (0.16)0.160
Physical activity−0.21 (0.15)0.01 (0.11)0.07 (0.16)0.672
Screen time0.13 (0.17)−0.16 (0.17)0.09 (0.24)0.700
1 Abbreviations: SE = standard error, SSB = sugar-sweetened beverages; 2 Models were adjusted for father age, adolescent age and sex; 3 Group effect estimates the adjusted difference between intervention and control means across both times; 4 Time effect estimates the adjusted difference between Time-1 and Time-2 means across both groups; 5 Group*time estimates the adjusted difference in mean change from Time-1 to Time-2 for intervention compared to control; * Indicates significant differences in adjusted Time-1 to Time-2 changes between intervention and control at p < 0.05.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Baltaci, A.; Hurtado Choque, G.A.; Davey, C.; Reyes Peralta, A.; Alvarez de Davila, S.; Zhang, Y.; Gold, A.; Larson, N.; Reicks, M. Padres Preparados, Jóvenes Saludables: A Randomized Controlled Trial to Test Effects of a Community-Based Intervention on Latino Father’s Parenting Practices. Nutrients 2022, 14, 4967. https://doi.org/10.3390/nu14234967

AMA Style

Baltaci A, Hurtado Choque GA, Davey C, Reyes Peralta A, Alvarez de Davila S, Zhang Y, Gold A, Larson N, Reicks M. Padres Preparados, Jóvenes Saludables: A Randomized Controlled Trial to Test Effects of a Community-Based Intervention on Latino Father’s Parenting Practices. Nutrients. 2022; 14(23):4967. https://doi.org/10.3390/nu14234967

Chicago/Turabian Style

Baltaci, Aysegul, Ghaffar Ali Hurtado Choque, Cynthia Davey, Alejandro Reyes Peralta, Silvia Alvarez de Davila, Youjie Zhang, Abby Gold, Nicole Larson, and Marla Reicks. 2022. "Padres Preparados, Jóvenes Saludables: A Randomized Controlled Trial to Test Effects of a Community-Based Intervention on Latino Father’s Parenting Practices" Nutrients 14, no. 23: 4967. https://doi.org/10.3390/nu14234967

APA Style

Baltaci, A., Hurtado Choque, G. A., Davey, C., Reyes Peralta, A., Alvarez de Davila, S., Zhang, Y., Gold, A., Larson, N., & Reicks, M. (2022). Padres Preparados, Jóvenes Saludables: A Randomized Controlled Trial to Test Effects of a Community-Based Intervention on Latino Father’s Parenting Practices. Nutrients, 14(23), 4967. https://doi.org/10.3390/nu14234967

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