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Autonomous motivation, sugar-sweetened beverage consumption and healthy beverage intake in US families: differences between mother–adolescent and father–adolescent dyads

  • Roger Figueroa (a1), Z Begüm Kalyoncu (a1), Jaclyn A Saltzman (a2) and Kirsten K Davison (a1) (a2)

Abstract

Objective

To assess interdependent effects of autonomous motivation to limit sugar-sweetened beverage (SSB) consumption in relation to SSB and healthy beverage (HB) intake in mother–adolescent and father–adolescent dyads.

Design

Adopting a dyadic cross-sectional design, the actor–partner interdependence modelling (APIM) approach was used to construct and analyse two APIM for mother–adolescent and father–adolescent dyads. The first model assessed actor effects (individual’s autonomous motivation associated with his/her own beverage intake) and partner effects (individual’s autonomous motivation associated with another family member’s beverage consumption) of autonomous motivation on SSB consumption. The second model assessed actor and partner effects of autonomous motivation on HB intake.

Setting

Two Internet-based surveys were completed in participant households.

Participants

Data from a demographically representative US sample of parent–adolescent dyads (1225 mother–adolescent dyads, 424 father–adolescent dyads) were used.

Results

In the first model (autonomous motivation on SSB consumption), actor effects were significant for adolescents, but not for parents. Partner effects were significant for mother–adolescent, but not father–adolescent dyads. In the second model (autonomous motivation on HB intake), actor effects were significant for adolescents and parents in all dyadic combinations. Regarding partner effects, adolescent autonomous motivation had a significant effect on HB intake for mothers and fathers. In addition, maternal autonomous motivation had a significant effect on adolescent HB intake. No partner effects for HB were identified for fathers.

Conclusions

We found significant interdependent effects of autonomous motivation in relation to SSB and HB intake in mother–adolescent and father–adolescent dyads for eleven out of sixteen pathways modelled.

Copyright

Corresponding author

*Corresponding author: Email rfigueroa@hsph.harvard.edu

References

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1. Hales, CM, Carroll, MD, Fryar, CD et al. (2017) Prevalence of Obesity Among Adults and Youth: United States, 2015–2016. NCHS Data Brief no. 288. Hyattsville, MD: National Center for Health Statistics.
2. Harrison, K, Bost, KK, McBride, BA et al. (2011) Toward a developmental conceptualization of contributors to overweight and obesity in childhood: the Six-Cs model. Child Dev Perspect 5, 5058.
3. Hedrick, VE, Davy, BM, Myers, EA et al. (2015) Changes in the healthy beverage index in response to an intervention targeting a reduction in sugar-sweetened beverage consumption as compared to an intervention targeting improvements in physical activity: results from the talking health trial. Nutrients 7, 1016810178.
4. Bleich, SN, Vercammen, KA, Koma, JW et al. (2018) Trends in beverage consumption among children and adults, 2003–2014. Obesity (Silver Spring) 26, 432441.
5. Carwile, JL, Willett, WC, Spiegelman, D et al. (2015) Sugar-sweetened beverage consumption and age at menarche in a prospective study of US girls. Hum Reprod 30, 675683.
6. Katzmarzyk, PT, Broyles, ST, Champagne, CM et al. (2016) Relationship between soft drink consumption and obesity in 9–11 years old children in a multi-national study. Nutrients 8, E770.
7. Korat, AV, Willett, WC & Hu, FB (2014) Diet, lifestyle, and genetic risk factors for type 2 diabetes: a review from the Nurses’ Health Study, Nurses’ Health Study 2, and Health Professionals’ Follow-up Study. Curr Nutr Rep 3, 345354.
8. Hu, Y, Costenbader, KH, Gao, X et al. (2014) Sugar-sweetened soda consumption and risk of developing rheumatoid arthritis in women. Am J Clin Nutr 100, 959967.
9. Hu, FB (2013) Resolved: there is sufficient scientific evidence that decreasing sugar‐sweetened beverage consumption will reduce the prevalence of obesity and obesity‐related diseases. Obes Rev 14, 606619.
10. Huybrechts, I, Lioret, S, Mouratidou, T et al. (2017) Using reduced rank regression methods to identify dietary patterns associated with obesity: a cross-country study among European and Australian adolescents. Br J Nutr 117, 295305.
11. Lee, CY, Lin, WT, Tsai, S et al. (2016) Association of parental overweight and cardiometabolic diseases and pediatric adiposity and lifestyle factors with cardiovascular risk factor clustering in adolescents. Nutrients 8, E567.
12. Majewski, RF (2001) Dental caries in adolescents associated with caffeinated carbonated beverages. Pediatr Dent 23, 198203.
13. Wang, M, Yu, M, Fang, L et al. (2015) Association between sugar‐sweetened beverages and type 2 diabetes: a meta‐analysis. J Diabetes Investig 6, 360366.
14. Malik, VS, Schulze, MB & Hu, FB (2006) Intake of sugar-sweetened beverages and weight gain: a systematic review. Am J Clin Nutr 84, 274288.
15. Mishra, MB & Mishra, S (2011) Sugar-sweetened beverages: general and oral health hazards in children and adolescents. Int J Clin Pediatr Dent 4, 119123.
16. Schulze, MB, Manson, JE, Ludwig, DS et al. (2004) Sugar-sweetened beverages, weight gain, and incidence of type 2 diabetes in young and middle-aged women. JAMA 292, 927934.
17. Pan, A, Malik, VS, Hao, T et al. (2013) Changes in water and beverage intake and long-term weight changes: results from three prospective cohort studies. Int J Obes (Lond) 37, 13781385.
18. US Department of Health and Human Services & US Department of Agriculture (2015) 2015–2020 Dietary Guidelines for Americans , 8th ed. Washington, DC: US DHHS and USDA.
19. Wang, YC, Ludwig, DS, Sonneville, K et al. (2009) Impact of change in sweetened caloric beverage consumption on energy intake among children and adolescents. Arch Pediatr Adolesc Med 163, 336343.
20. Hedrick, VE, Davy, BM & Duffey, KJ (2015) Is beverage consumption related to specific dietary pattern intakes? Curr Nutr Rep 4, 7281.
21. Deci, EL & Ryan, RM (2000) The ‘what’ and ‘why’ of goal pursuits: human needs and the self-determination of behavior. Psychol Inquiry 11, 227268.
22. Deci, EL & Ryan, RM (2008) Self-determination theory: a macrotheory of human motivation, development, and health. Can Psychol 49, 182185.
23. Grolnick, WS (2009) The role of parents in facilitating autonomous self-regulation for education. Sch Field 7, 164173.
24. Dwyer, LA, Bolger, N, Laurenceau, JP et al. (2017) Autonomous motivation and fruit/vegetable intake in parent–adolescent dyads. Am J Prev Med 52, 863871.
25. Leong, SL, Madden, C, Gray, A et al. (2012) Self-determined, autonomous regulation of eating behavior is related to lower body mass index in a nationwide survey of middle-aged women. J Acad Nutr Diet 112, 13371346.
26. Contento, IR, Koch, PA, Lee, H et al. (2010) Adolescents demonstrate improvement in obesity risk behaviors after completion of choice, control & change, a curriculum addressing personal agency and autonomous motivation. J Am Diet Assoc 110, 18301839.
27. Birch, LL & Davison, KK (2001) Family environmental factors influencing the developing behavioral controls of food intake and childhood overweight. Pediatr Clin North Am 48, 893907.
28. Davison, KK & Birch, LL (2001) Childhood overweight: a contextual model and recommendations for future research. Obes Rev 2, 159171.
29. Riebl, SK, MacDougal, C, Hill, C et al. (2016) Beverage choices of adolescents and their parents using the theory of planned behavior: a mixed methods analysis. J Acad Nutr Diet 116, 226239.
30. Ng, JY, Ntoumanis, N & Thøgersen‐Ntoumani, C (2014) Autonomy support and control in weight management: what important others do and say matters. Br J Health Psychol 19, 540552.
31. Powers, TA, Koestner, R & Gorin, AA (2008) Autonomy support from family and friends and weight loss in college women. Fam Syst Health 26, 404416.
32. Gonzalez, R & Griffin, D (2012) Dyadic data analysis. In APA Handbook of Research Methods in Psychology. vol. 3: Data Analysis and Research Publication, pp. 439–450 [H Cooper, PM Camic, DL Long et al., editors]. Washington, DC: American Psychological Association.
33. Nebeling, LC, Dwyer, L, Oh, , A et al. (2017) The Family Life, Activity, Sun, Health and Eating Study: A public use data resource for individual and dyadic analyses of cancer preventive behaviors. Cancer Res 77, 13 Suppl., 4227 (abstract).
34. Nebeling, LC, Hennessy, E, Oh, AY et al. (2017) The FLASHE study: survey development, dyadic perspectives, and participant characteristics. Am J Prev Med 52, 839848.
35. Oh, AY, Davis, T, Dwyer, LA et al. (2017) Recruitment, enrollment, and response of parent–adolescent dyads in the FLASHE study. Am J Prev Med 52, 849855.
36. National Cancer Institute (2015) Dietary Screener Questionnaire in the NHANES 2009–10: Background. http://epi.grants.cancer.gov/nhanes/dietscreen/ (accessed December 2017).
37. Cohen, J, Cohen, P, West, SG et al. (2013) Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences. New York: Routledge.
38. Bolger, N & Laurenceau, J-P (2017) Family Life, Activity, Sun, Health and Eating (FLASHE) Study Webinar: An Introduction to Dyadic Data Analysis. https://cancercontrol.cancer.gov/brp/hbrb/flashe-webinar.html (accessed December 2017).
39. Levesque, CS, Williams, GC, Elliot, D et al. (2006) Validating the theoretical structure of the Treatment Self-Regulation Questionnaire (TSRQ) across three different health behaviors. Health Educ Res 22, 691702.
40. MacKinnon, DP & Luecken, LJ (2008) How and for whom? Mediation and moderation in health psychology. Health Psychol 27, 2S, S99S100.
41. Marsh, HW (1994) Confirmatory factor analysis models of factorial invariance: a multifaceted approach. Struct Equ Modeling 1, 534.
42. Muthén, B & Muthén, BO (2009) Statistical Analysis with Latent Variables. Hoboken, NJ: Wiley.
43. Hooper, D, Coughlan, J & Mullen, MR (2008) Structural equation modelling: guidelines for determining model fit. Electron J Bus Res Methods 6, 5360.
44. Hoyle, RH (1995) Structural Equation Modeling: Concepts, Issues, and Applications. Thousand Oaks, CA: SAGE Publications, Inc.
45. Bentler, PM (1990) Comparative fit indexes in structural models. Psychol Bull 107, 238246.
46. Hu, LT & Bentler, PM (1999) Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Struct Equ Modeling 6, 155.
47. Kenny, DA (2011) Illustration of deriving correlations in terms of path coefficients. http://davidakenny.net/cm/tracing.htm (accessed January 2018).
48. Long, MW, Gortmaker, SL, Ward, ZJ et al. (2015) Cost effectiveness of a sugar-sweetened beverage excise tax in the US. Am J Prev Med 49, 112123.
49. Falbe, J, Thompson, HR, Becker, CM et al. (2016) Impact of the Berkeley excise tax on sugar-sweetened beverage consumption. Am J Public Health 106, 18651871.
50. Dennis, EA, Dengo, AL, Comber, DL et al. (2010) Water consumption increases weight loss during a hypocaloric diet intervention in middle‐aged and older adults. Obesity (Silver Spring) 18, 300307.
51. Muckelbauer, R, Sarganas, G, Grüneis, A et al. (2013) Association between water consumption and body weight outcomes: a systematic review. Am J Clin Nutr 98, 282299.
52. Haines, J, Rifas-Shiman, SL, Horton, NJ et al. (2016) Family functioning and quality of parent–adolescent relationship: cross-sectional associations with adolescent weight-related behaviors and weight status. Int J Behav Nutr Phys Act 13, 68.
53. Ezendam, NP, Evans, AE, Stigler, MH et al. (2010) Cognitive and home environmental predictors of change in sugar-sweetened beverage consumption among adolescents. Br J Nutr 103, 768774.
54. Ebbing, C, Feldman, H, Osganian, S et al. (2006) Effects of decreasing sugar-sweetened beverage consumption on body weight in adolescents: a randomized controlled trial. Pediatrics 117, 673680.
55. Baranowski, MD (1978) Adolescents’ attempted influence on parental behaviors. Adolescence 13, 585604.
56. Branscum, P & Housely, A (2017) Differences in how mothers and fathers monitor sugar-sweetened beverages for their young children (7–12 years). Health Educ Behav 45, 247253.
57. Mitchell, S, Brennan, L, Hayes, L et al. (2009) Maternal psychosocial predictors of controlling parental feeding styles and practices. Appetite 53, 384389.
58. Khandpur, N, Charles, J, Blaine, RE et al. (2016) Diversity in fathers’ food parenting practices: A qualitative exploration within a heterogeneous sample. Appetite 101, 134145.
59. Lam, CB, McHale, SM & Crouter, AC (2012) Parent–child shared time from middle childhood to late adolescence: developmental course and adjustment correlates. Child Dev 83, 20892103.
60. Kenny, DA, Kashy, DA & Cook, WL (2006) Dyadic Data Analysis. New York: Guilford Press.
61. Davison, KK, Gicevic, S, Aftosmes-Tobio, A et al. (2016) Fathers’ representation in observational studies on parenting and childhood obesity: a systematic review and content analysis. Am J Public Health 106, e14e21.
62. Bere, E, Glomnes, ES, te Velde, SJ et al. (2008) Determinants of adolescents’ soft drink consumption. Public Health Nutr 11, 4956.
63. De Bruijn, GJ, Kremers, SP, De Vries, H et al. (2006) Associations of social–environmental and individual-level factors with adolescent soft drink consumption: results from the SMILE study. Health Educ Res 22, 227237.
64. Grimm, GC, Harnack, L & Story, M (2004) Factors associated with soft drink consumption in school-aged children. J Am Diet Assoc 104, 12441249.
65. Bogart, LM, Elliott, MN, Ober, AJ et al. (2017) Home sweet home: parent and home environmental factors in adolescent consumption of sugar-sweetened beverages. Acad Pediatr 17, 529536.

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