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Gender differences in adolescent food preferences and their association with parent food preferences: data from the China Health and Nutrition Survey (CHNS)

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Abstract

Purpose

Food preference is an important factor that affects one’s eating behavior and dietary intake. Parent food preferences and food choices may influence children food preferences. This study is aimed to describe gender differences and time trends of Chinese adolescent food preferences and to explore the association between adolescent and their parent food preferences.

Methods

The data were drawn from four waves of the China Health and Nutrition Survey (CHNS) conducted between 2006 and 2015. Participants were asked to indicate their degree of preferences for five food categories (fast food, salty snack food, fruits, vegetables, and soft/sugary drinks) using a 5-point Likert scale (from “dislike very much” to “like very much”). Logistic regression was performed to determine the association of food preferences between adolescents and their parents.

Results

Adolescent preferences for unhealthy foods were significantly higher than those of adults. Adolescent food preferences for fruits and vegetables decreased slightly over nine years, and there were gender differences in healthy food preferences (girls > boys, P < 0.05). Regardless of boys or girls, adolescent food preferences for healthy foods (fruits and vegetables) were significantly associated with both their fathers (OR: 3.64–4.58 for boys and 2.71–4.39 for girls) and mothers (OR: 2.13–4.11 for boys and 3.07–5.66 for girls) food preferences. For fast food and salty snack food preferences, boys appeared to be influenced greater by their fathers than girls, while girls appeared to be influenced greater by their mothers than boys.

Conclusions

The present study reveals a high degree of unhealthy food preferences among Chinese adolescents and a gender-specific association of fast food and salty snack preference between Chinese adolescents and their parents. Our results may be useful for interventions to reduce adolescent unhealthy food preferences and intakes.

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Data availability

The dataset is available upon reasonable request from the corresponding author.

References

  1. Whiting SJ, Vatanparast H, Baxter-Jones A, Faulkner RA, Mirwald R, Bailey DA (2004) Factors that affect bone mineral accrual in the adolescent growth spurt. J Nutr 134(3):696s–700. https://doi.org/10.1093/jn/134.3.696S.

    Article  PubMed  Google Scholar 

  2. Das JK, Salam RA, Thornburg KL, Prentice AM, Campisi S, Lassi ZS, Koletzko B, Bhutta ZA (2017) Nutrition in adolescents: physiology, metabolism, and nutritional needs. Ann N Y Acad Sci 1393(1):21–33. https://doi.org/10.1111/nyas.13330

    Article  PubMed  Google Scholar 

  3. Kimura S, Endo Y, Minamimae K, Kanzaki S, Hanaki K (2014) Gender differences in childhood food preference: evaluation using a subjective picture choice method. Pediatr Int 56(3):389–394. https://doi.org/10.1111/ped.12276

    Article  PubMed  Google Scholar 

  4. Baxter SD, Thompson WO (2002) Fourth-grade children’s consumption of fruit and vegetable items available as part of school lunches is closely related to preferences. J Nutr Educ Behav 34(3):166–171. https://doi.org/10.1016/s1499-4046(06)60086-9

    Article  PubMed  Google Scholar 

  5. Chmurzynska A, Mlodzik-Czyzewska MA, Malinowska AM, Radziejewska A, Mikołajczyk-Stecyna J, Bulczak E, Wiebe DJ (2021) Greater self-reported preference for fat taste and lower fat restraint are associated with more frequent intake of high-fat food. Appetite 159:105053. https://doi.org/10.1016/j.appet.2020.105053

    Article  PubMed  Google Scholar 

  6. Rasmussen M, Krølner R, Klepp KI, Lytle L, Brug J, Bere E, Due P (2006) Determinants of fruit and vegetable consumption among children and adolescents: a review of the literature. Part I: quantitative studies. Int J Behav Nutr Phys Act 3:22. https://doi.org/10.1186/1479-5868-3-22

    Article  PubMed  PubMed Central  Google Scholar 

  7. dos Santos MM, Marreiros CS, Soares de Oliveira AR, de Freitas ST, Climaco Cruz KJ (2019) Taste sensitivity, food preferences, and physical activity pattern associated with nutritional status of adolescents. J Sens Stud 34(3):e12491. https://doi.org/10.1111/joss.12491

    Article  Google Scholar 

  8. Mikkilä V, Räsänen L, Raitakari OT, Pietinen P, Viikari J (2004) Longitudinal changes in diet from childhood into adulthood with respect to risk of cardiovascular diseases: the Cardiovascular Risk in Young finns Study. Eur J Clin Nutr 58(7):1038–1045. https://doi.org/10.1038/sj.ejcn.1601929

    Article  PubMed  Google Scholar 

  9. Kotecha PV, Patel SV, Baxi RK, Mazumdar VS, Shobha M, Mehta KG, Mansi D, Ekta M (2013) Dietary pattern of schoolgoing adolescents in urban Baroda, India. J Health Popul Nutr 31(4):490–496. https://doi.org/10.3329/jhpn.v31i4.20047

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Shi Z, Lien N, Kumar BN, Holmboe-Ottesen G (2005) Socio-demographic differences in food habits and preferences of school adolescents in Jiangsu Province, China. Eur J Clin Nutr 59(12):1439–1448. https://doi.org/10.1038/sj.ejcn.1602259

    Article  CAS  PubMed  Google Scholar 

  11. Pearson N, MacFarlane A, Crawford D, Biddle SJH (2009) Family circumstance and adolescent dietary behaviours. Appetite 52(3):668–674. https://doi.org/10.1016/j.appet.2009.03.004

    Article  PubMed  Google Scholar 

  12. Granner ML, Sargent RG, Calderon KS, Hussey JR, Evans AE, Watkins KW (2004) Factors of fruit and vegetable intake by race, gender, and age among young adolescents. J Nutr Educ Behav 36(4):173–180. https://doi.org/10.1016/s1499-4046(06)60231-5

    Article  PubMed  Google Scholar 

  13. Deng S (2011) Adolescents’ food preferences in China: do household living arrangements matter? Soc Work Health Care 50(8):625–638. https://doi.org/10.1080/00981389.2011.589890

    Article  PubMed  Google Scholar 

  14. Savage JS, Fisher JO, Birch LL (2007) Parental influence on eating behavior: conception to adolescence. J Law Med Ethics 35(1):22–34. https://doi.org/10.1111/j.1748-720X.2007.00111.x

    Article  PubMed  PubMed Central  Google Scholar 

  15. Robson SM, Couch SC, Peugh JL, Glanz K, Zhou C, Sallis JF, Saelens BE (2016) Parent diet quality and energy intake are related to child diet quality and energy intake. J Acad Nutr Diet 116(6):984–990. https://doi.org/10.1016/j.jand.2016.02.011

    Article  PubMed  PubMed Central  Google Scholar 

  16. Russell CG, Worsley A, Campbell KJ (2015) Strategies used by parents to influence their children’s food preferences. https://doi.org/10.1016/j.appet.2015.02.038. Appetite 90:123 – 30

  17. Imoisili OE, Park S, Lundeen EA, Yaroch AL, Blanck HM (2020) Daily adolescent sugar-sweetened beverage intake is associated with select adolescent, not parent, attitudes about limiting sugary drink and junk food intake. Am J Health Promot 34(1):76–82. https://doi.org/10.1177/0890117119868382

    Article  PubMed  Google Scholar 

  18. China Health and Nutrition Survey Research team China Health and Nutrition Survey. https://www.cpc.unc.edu/projects/china

  19. Popkin BM, Du S, Zhai F, Zhang B (2010) Cohort Profile: the China Health and Nutrition Survey–monitoring and understanding socio-economic and health change in China, 1989–2011. Int J Epidemiol 39(6):1435–1440. https://doi.org/10.1093/ije/dyp322

    Article  PubMed  Google Scholar 

  20. Zhang B, Zhai FY, Du SF, Popkin BM (2014) The China Health and Nutrition Survey, 1989–2011. Obes Rev 15 Suppl 1(01):2–7. https://doi.org/10.1111/obr.12119

    Article  Google Scholar 

  21. National Health and Family Planning Commission of the People’s Republic of China, China National Standardization Management Committee (2014) Comprehensive evaluation of children and adolescents development. Bei**g

  22. Wu J, Chen J, Li Z, Jiao B, Muennig P (2020) Spatiotemporal variation of the association between urbanicity and incident hypertension among Chinese adults. Int J Environ Res Public Health 17(1):304. https://doi.org/10.3390/ijerph17010304

    Article  PubMed  PubMed Central  Google Scholar 

  23. Wang Y, Wang L, Xue H, Qu W (2016) A review of the growth of the fast food industry in China and its potential impact on obesity. Int J Environ Res Public Health 13(11):1112. https://doi.org/10.3390/ijerph13111112

    Article  PubMed  PubMed Central  Google Scholar 

  24. Xue H, Wu Y, Wang X, Wang Y (2016) Time trends in fast food consumption and its association with obesity among children in China. PLoS ONE 11(3):e0151141. https://doi.org/10.1371/journal.pone.0151141

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Wang Z, Zhai F, Zhang B, Popkin BM (2012) Trends in Chinese snacking behaviors and patterns and the social-demographic role between 1991 and 2009. Asia Pac J Clin Nutr 21(2):253–262

    PubMed  Google Scholar 

  26. Dos Santos Q, Perez-Cueto FJA, Rodrigues VM, Appleton K, Giboreau A, Saulais L, Monteleone E, Dinnella C, Brugarolas M, Hartwell H (2020) Impact of a nudging intervention and factors associated with vegetable dish choice among European adolescents. Eur J Nutr 59(1):231–247. https://doi.org/10.1007/s00394-019-01903-y

    Article  PubMed  Google Scholar 

  27. Rolls BJ, Fedoroff IC, Guthrie JF (1991) Gender differences in eating behavior and body weight regulation. Health Psychol 10(2):133–142. https://doi.org/10.1037/0278-6133.10.2.133

    Article  CAS  PubMed  Google Scholar 

  28. Bere E, Brug J, Klepp KI (2008) Why do boys eat less fruit and vegetables than girls? Public Health Nutr 11(3):321–325. https://doi.org/10.1017/s1368980007000729

    Article  PubMed  Google Scholar 

  29. Bergmeier H, Skouteris H, Hetherington M (2015) Systematic research review of observational approaches used to evaluate mother-child mealtime interactions during preschool years. Am J Clin Nutr 101(1):7–15. https://doi.org/10.3945/ajcn.114.092114

    Article  CAS  PubMed  Google Scholar 

  30. Figueroa R, Kalyoncu ZB, Saltzman JA, Davison KK (2019) Autonomous motivation, sugar-sweetened beverage consumption and healthy beverage intake in US families: differences between mother-adolescent and father-adolescent dyads. Public Health Nutr 22(6):1010–1018. https://doi.org/10.1017/s136898001800383x

    Article  PubMed  PubMed Central  Google Scholar 

  31. Odum M, Housman JM, Williams RD Jr (2018) Intrapersonal factors of male and female adolescent fruit and vegetable intake. Am J Health Behav 42(2):106–115. https://doi.org/10.5993/ajhb.42.2.10

    Article  PubMed  Google Scholar 

  32. Mennella JA, Jagnow CP, Beauchamp GK (2001) Prenatal and postnatal flavor learning by human infants. Pediatrics 107(6):E88. https://doi.org/10.1542/peds.107.6.e88

    Article  CAS  PubMed  Google Scholar 

  33. Schnettler B, Lobos G, Miranda-Zapata E, Denegri M, Ares G, Hueche C (2017) Diet quality and satisfaction with life, family life, and food-related life across families: a cross-sectional pilot study with mother-father-adolescent triads. Int J Environ Res Public Health 14(11):1313. https://doi.org/10.3390/ijerph14111313

    Article  PubMed  PubMed Central  Google Scholar 

  34. Pfledderer CD, Gren LH, Metos J, Brusseau TA, O’Toole K, Buys SS, Daly MB, Frost CJ (2021) Mothers’ diet and family income predict daughters’ healthy eating. Prev Chronic Dis 18:E24. https://doi.org/10.5888/pcd18.200445

    Article  PubMed  PubMed Central  Google Scholar 

  35. Scaglioni S, De Cosmi V, Ciappolino V, Parazzini F, Brambilla P, Agostoni C (2018) Factors influencing children’s eating behaviours. Nutrients 10(6):706. https://doi.org/10.3390/nu10060706

    Article  PubMed  PubMed Central  Google Scholar 

  36. Remington A, Añez E, Croker H, Wardle J, Cooke L (2012) Increasing food acceptance in the home setting: a randomized controlled trial of parent-administered taste exposure with incentives. Am J Clin Nutr 95(1):72–77. https://doi.org/10.3945/ajcn.111.024596

    Article  CAS  PubMed  Google Scholar 

  37. Bringolf-Isler B, Schindler C, Kayser B, Suggs LS, Probst-Hensch N (2018) Objectively measured physical activity in population-representative parent-child pairs: parental modelling matters and is context-specific. BMC Public Health 18(1):1024. https://doi.org/10.1186/s12889-018-5949-9

    Article  PubMed  PubMed Central  Google Scholar 

  38. Yao CA, Rhodes RE (2015) Parental correlates in child and adolescent physical activity: a meta-analysis. Int J Behav Nutr Phys Act 12:10. https://doi.org/10.1186/s12966-015-0163-y

    Article  PubMed  PubMed Central  Google Scholar 

  39. Sigmundová D, Sigmund E, Badura P, Hollein T (2020) Parent-Child Physical Activity Association in families with 4-to 16-Year-old children. Int J Environ Res Public Health 17(11):4015. https://doi.org/10.3390/ijerph17114015

    Article  PubMed  PubMed Central  Google Scholar 

  40. Skouteris H, Hill B, McCabe M, Swinburn B, Busija L (2016) A parent-based intervention to promote healthy eating and active behaviours in pre-school children: evaluation of the MEND 2–4 randomized controlled trial. Pediatr Obes 11(1):4–10. https://doi.org/10.1111/ijpo.12011

    Article  CAS  PubMed  Google Scholar 

  41. Saaka M, Awini S, Kizito F, Hoeschle-Zeledon I (2022) Fathers’ level of involvement in childcare activities and its association with the diet quality of children in Northern Ghana. Public Health Nutr 26(4):1–8. https://doi.org/10.1017/s1368980022002142

    Article  PubMed  Google Scholar 

  42. Grzymisławska M, Puch EA, Zawada A, Grzymisławski M (2020) Do nutritional behaviors depend on biological sex and cultural gender? Adv Clin Exp Med 29(1):165–172. https://doi.org/10.17219/acem/111817

    Article  PubMed  Google Scholar 

  43. Yang F, Li R, Ren X, Cao B, Gao X (2022) Association between Perceived levels of stress and self-reported food preferences among males and females: a stated Preference Approach based on the China Health and Nutrition Survey. Front Public Health 10:850411. https://doi.org/10.3389/fpubh.2022.850411

    Article  PubMed  PubMed Central  Google Scholar 

  44. Cui L, Chen T, Li Z, Yu Z, Liu X, Li J, Guo Y, Xu D, Wang X (2022) Association between dietary related factors and central obesity among married women: China Health and Nutrition Survey. Appetite 168:105785. https://doi.org/10.1016/j.appet.2021.105785

    Article  PubMed  Google Scholar 

  45. Vesnina A, Prosekov A, Atuchin V, Minina V, Ponasenko A (2022) Tackling atherosclerosis via selected Nutrition. Int J Mol Sci 23(15):8233. https://doi.org/10.3390/ijms23158233

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Vesnina A, Prosekov A, Kozlova O, Atuchin V (2020) Genes and eating preferences, their roles in Personalized Nutrition. Genes (Basel) 11(4):357. https://doi.org/10.3390/genes11040357

    Article  CAS  PubMed  Google Scholar 

  47. Sleboda P, Lagerkvist C-J (2022) Tailored communication changes consumers’ attitudes and product preferences for genetically modified food. Food Qual Prefer 96:104419. https://doi.org/10.1016/j.foodqual.2021.104419

    Article  Google Scholar 

  48. Vesnina A, Prosekov A (2022) International experience in the development of individual functional products for the prevention of atherosclerosis. AIP Conference Proceedings 2478(1):050005. https://doi.org/10.1063/5.0100371

  49. Osawe OW, Grilli G, Curtis J (2023) Examining food preferences in the face of environmental pressures. J Agric Food Res 11:100476. https://doi.org/10.1016/j.jafr.2022.100476

    Article  Google Scholar 

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Acknowledgements

This research uses data from the China Health and Nutrition Survey (CHNS). We are grateful for research grant funding from the National Institute for Health (NIH), the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) for R01 HD30880, the National Institute on Aging (NIA) for R01 AG065357, the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) for R01DK104371 and R01HL108427, the NIH Fogarty grant D43 TW009077 since 1989, and the China-Japan Friendship Hospital, Ministry of Health for support for CHNS 2009, the Chinese National Human Genome Center at Shanghai since 2009, and the Bei**g Municipal Center for Disease Prevention and Control since 2011. We thank the National Institute for Nutrition and Health, China Centers for Disease Control and Prevention, Bei**g Municipal Centers for Disease Control and Prevention, and the Chinese National Human Genome Center at Shanghai.

Funding

This study was funded by the Peking University Research Initiation Fund (grant number: BMU2018YJ005) in China. This funding did not play any role in the design of the study and in the writing of the manuscript.

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Authors

Contributions

QZ and XL conceived the study. XL obtained the data and analyzed the results. XL and YW drafted the manuscript. QZ supervised in drafting the manuscript. All authors have read and approved the final manuscript.

Corresponding author

Correspondence to Qianling Zhou.

Ethics declarations

Ethics approval

The CHNS study was approved by the Institutional Review Board at the University of North Carolina and the National Institute of Nutrition and Health, Chinese Center for Disease Control and Prevention (the ethical approval number was not available). Consent was obtained from all the participants included in the study.

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Not applicable.

Competing interests

The authors declare no potential commercial or financial interest in this study.

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Liu, X., Wen, Y. & Zhou, Q. Gender differences in adolescent food preferences and their association with parent food preferences: data from the China Health and Nutrition Survey (CHNS). Eur J Nutr (2024). https://doi.org/10.1007/s00394-024-03450-7

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