Trajectories of eating behaviors in a nationally representative cohort of U.S. adolescents during the transition to young adulthood

Lipsky, Leah M.; Haynie, Denise L.; Liu, Danping; Chaurasia, Ashok; Gee, Benjamin; Li, Kaigang; Iannotti, Ronald J.; Simons-Morton, Bruce G.

doi:10.1186/s12966-015-0298-x

Cited by 70 publications

(86 citation statements)

References 46 publications

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“…Data on SSBs included both studies that used terms such as ‘soft drinks’ and ‘fruit drinks’ and did not specify whether drinks were sugar‐sweetened or artificially sweetened, as well as studies that used a more precise definition of SSBs. As a sensitivity analysis, we included only those studies that precisely defined SSBs (as containing added sugar) or where data on SSBs (precisely defined) were available separately from other categories of soft drinks that were less clearly defined …”

Section: Resultsmentioning

confidence: 99%

“…Six papers from five studies reported data on determinants of changes in added sugar consumption. Studies reported no effects of gender , race or ethnicity , mother's education level , SES or baseline weight status on changes in intake of SSBs or confectionery. Lien et al (2002) investigated the association of personal, social (family and friends) and environmental (school) factors with change in sugary food and drink consumption, reporting no significant associations of these factors with intake at follow‐up, controlling for baseline intake .…”

Section: Resultsmentioning

confidence: 99%

“…Data on SSBs included both studies that used terms such as 'soft drinks' and 'fruit drinks' and did not specify whether drinks were sugar-sweetened or artificially sweetened, as well as studies that used a more precise definition of SSBs. As a sensitivity analysis, we included only those studies that precisely defined SSBs (as containing added sugar) or where data on SSBs (precisely defined) were available separately from other categories of soft drinks that were less clearly defined (37)(38)(39)(40)(41)(42)(43)(44) As shown in Table 3, we found a stronger effect when using the stricter definition of SSBs, with a significant decrease in consumption of À0.23 (95%CI À0.42 to À0.04) servings per year of age. This effect size suggests that over 5 years those in this age range would consume 1.15 fewer servings of SSBs each week.…”

Section: Sugar-sweetened Beveragesmentioning

confidence: 99%

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Changes in consumption of added sugars from age 13 to 30 years: a systematic review and meta‐analysis of longitudinal studies

et al. 2017

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SummaryAdded sugar intake during adolescence has been associated with weight gain and cardiometabolic risk factors. Moreover, dietary habits may persist into adulthood, increasing chronic disease risk in later life. This systematic review investigated changes in intake of added sugars between the ages of 13 and 30 years.Literature databases were searched for longitudinal studies of diet during adolescence or early adulthood. Retrieved articles were screened for studies including multiple measures of intake of sugars or sugary foods from cohort participants between the ages of 13 and 30. Data were analysed using random‐effects meta‐analysis, by the three main nutrient and food group categories identified (PROSPERO: CRD42015030126).Twenty‐four papers reported longitudinal data on intake of added sugar or sucrose (n = 6), sugar‐sweetened beverages (SSBs) (n = 20) and/or confectionery (n = 9). Meta‐analysis showed a non‐significant per year of age decrease in added sugar or sucrose intake (−0.15% total energy intake (95%CI −0.41; 0.12)), a decrease in confectionery consumption (−0.20 servings/week (95%CI −0.41; −0.001)) and a non‐significant decrease in SSB consumption (−0.15 servings/week (95%CI −0.32; 0.02)). Taken together, the overall decrease in added sugar intake observed from adolescence to early adulthood may suggest opportunities for intervention to further improve dietary choices within this age range.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Sugar-sweetened Beveragesmentioning

confidence: 99%

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Changes in consumption of added sugars from age 13 to 30 years: a systematic review and meta‐analysis of longitudinal studies

et al. 2017

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“…Parent-reported educational attainment was ascertained during the consent process and categorized as high school graduate or less/some college/bachelors or graduate degree. Participants reported previous-week vigorous physical activity (hours per week) at W5, which was included as a covariate given its associations with body weight (Westerterp, 2010) and eating behaviors (Bild et al, 1996; Lipsky et al, 2015). Participants were asked “How many hours a week do you usually engage in vigorous physical activity so much that you get out of breath or sweat”, with responses ranging from none to 7 hours or more.…”

Section: Methodsmentioning

confidence: 99%

Power of Food Scale in association with weight outcomes and dieting in a nationally representative cohort of U.S. young adults

et al. 2016

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Food reward sensitivity may influence susceptibility to overeating in a permissive food environment, contributing to unintended weight gain and intentional weight loss behavior. This study examined associations of food reward sensitivity, assessed by the Power of Food Scale (PFS), with weight outcomes and dieting in a nationally representative cohort of U.S. emerging adults. Wave 5 (W5, 5th year of follow-up) respondents from the NEXT Generation Health Study were included (N=2202, W5 age=20.3±0.02 years). Baseline and W5 BMI, W5 weight status (normal weight=18.5≤BMI<25, overweight=25≤BMI<30, obese=BMI≥30), BMI change (W5-baseline BMI) and onset of overweight or obesity (OWOB) were calculated from self-reported height and weight. PFS (aggregate and 3 domain scores: food available, present, and tasted) and dieting for weight-loss were assessed at W5. Adjusted linear regressions estimated associations of PFS with W5 BMI and BMI change. Log-binomial regressions estimated associations of high W5 BMI (≥25), OWOB onset and dieting with PFS. Post hoc analyses estimated associations of PFS with W5 perceived weight status (overweight vs. about right or underweight). W5 BMI=25.73±0.32 kg/m2, and OWOB onset occurred in 27.7% of participants. The PFS-food available score was associated with BMI change, β±SE=0.41±0.19. Other PFS scores were not associated with weight outcomes. Dieting prevalence was higher in participants with high versus low W5 BMI (61% versus 32%), and was positively associated with all PFS scores except the PFS-food tasted score, e.g., relative risk (RR) of dieting for PFS-aggregate=1.13, 95%CI [1.01-1.26]. Post-hoc analyses indicated perceived overweight was positively associated with PFS-food available, 1.12, [1.01-1.24], and PFS-food present, 1.13, [1.03-1.24]. PFS was positively related to dieting and perceived overweight, but not concurrent or change in weight status in a representative cohort of U.S. emerging adults.

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“…Longitudinal studies provide evidence that obesigenic behaviors in childhood and adolescence track into adulthood (Lipsky, Haynie, Liu, Chaurasia, Gee, Li, Iannotti, & Simons-Morton, 2015), and that overweight children are more likely to become obese adults (Serdula, Ivery, Coates, Freedman, Williamson, & Byers, 1993). The finding that Native Hawaiian children have the highest prevalence of obesity in Hawaiʻi signifies ever widening disparities in health, with significantly-higher medical costs, a poor quality of life and a shorter life span (Pobutsky et al, 2010).…”

mentioning

confidence: 99%

Connecting culturally and spiritually to healthy eating: A community assessment with Native Hawaiians

Oneha¹,

Dodgson²,

DeCambra³

et al. 2016

Asian/Pacific Island Nursing Journal

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Many of the chronic illnesses disproportionately experienced by Native Hawaiians are directly related to poor diets and long-standing obesity beginning in childhood. We report on the findings of in-depth key informant interviews (N=14) that took place in two Native Hawaiian communities as part of a larger, community-based participatory research study that included a community assessment through individual interviews and focused group discussions, and a pilot intervention targeting pregnant women, their infants, and families. Four categories emerged from the qualitative analysis of interview transcripts that described an understanding of “healthy eating”: family roles and responsibilities, aspects of community and physical environment, deeper spiritual meaning of food, and ways of operationalizing personal eating choices. The findings revealed previously undocumented intergenerational influences on healthy eating patterns and informed the design of the next study phases and are of significance in targeting nutritional interventions for Native Hawaiians.

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Trajectories of eating behaviors in a nationally representative cohort of U.S. adolescents during the transition to young adulthood

Cited by 70 publications

References 46 publications

Changes in consumption of added sugars from age 13 to 30 years: a systematic review and meta‐analysis of longitudinal studies

Changes in consumption of added sugars from age 13 to 30 years: a systematic review and meta‐analysis of longitudinal studies

Power of Food Scale in association with weight outcomes and dieting in a nationally representative cohort of U.S. young adults

Connecting culturally and spiritually to healthy eating: A community assessment with Native Hawaiians

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