Literature DB >> 35040079

Correlates of weight-related self-monitoring application use during emerging adulthood in a population-based sample.

Samantha L Hahn1,2, Vivienne M Hazzard3,4,5, Nicole Larson3, Laura Klein3, Katie A Loth6, Dianne Neumark-Sztainer3.   

Abstract

PURPOSE: This study was designed to examine (1) the types of technologies or other applications (apps) emerging adults use to track their eating, physical activity, or weight; (2) who uses these apps and (3) whether eating and weight-related concerns during adolescence predict app use in emerging adulthood.
METHODS: Longitudinal survey data were obtained from EAT 2010-2018 (Eating and Activity over Time study, N = 1428), a population-based sample of ethnically/racially and socioeconomically diverse adolescents (mean age: 14.5 ± 2.0 years), who were followed into emerging adulthood (mean age: 22.0 ± 2.0 years). Data were used to examine sociodemographic correlates of physical activity- and dietary-focused app use. Adjusted, gender-stratified logistic regressions were used to investigate longitudinal relationships between eating and weight-related concerns in adolescence and app use in emerging adulthood.
RESULTS: Compared to men, women were more likely to use physical activity- (23.2 versus 12.5%, p < 0.001) and dietary-focused apps (16.1 versus 5.5%, p < 0.001). Among women, eating and weight-related concerns in adolescence, particularly unhealthy muscle-building behaviors (OR = 1.73, 95% CI 1.03-2.92), were associated with later dietary-focused app use. Among men, use of other muscle-building behaviors and body dissatisfaction in adolescence predicted use of physical activity- (ORother muscle-building = 1.60, 95% CI 1.03-2.49 and ORbody dissatisfaction = 1.67, 95% CI 1.06-2.65) and dietary-focused (ORother muscle-building = 2.18, 95% CI 1.07-4.47 and ORbody dissatisfaction = 2.35, 95% CI 1.12-4.92) apps 8 years later.
CONCLUSIONS: Eating and weight-related concerns may predict later use of physical activity- and dietary-focused apps; future research is needed to understand whether use of such apps further increases eating and weight-related concerns. LEVEL OF EVIDENCE: III, well-designed longitudinal cohort study.
© 2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.

Entities:  

Keywords:  Eating behaviors; Eating disorders; Epidemiology; Physical activity; Prevention; Self-monitoring

Mesh:

Year:  2022        PMID: 35040079      PMCID: PMC9288498          DOI: 10.1007/s40519-021-01349-4

Source DB:  PubMed          Journal:  Eat Weight Disord        ISSN: 1124-4909            Impact factor:   3.008


  40 in total

1.  Monitoring eating and activity: Links with disordered eating, compulsive exercise, and general wellbeing among young adults.

Authors:  Carolyn R Plateau; Sarah Bone; Emily Lanning; Caroline Meyer
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Authors:  Courtney C Simpson; Suzanne E Mazzeo
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Journal:  Am J Epidemiol       Date:  2017-04-01       Impact factor: 4.897

4.  Nutrition label use partially mediates the relationship between attitude toward healthy eating and overall dietary quality among college students.

Authors:  Dan J Graham; Melissa N Laska
Journal:  J Acad Nutr Diet       Date:  2012-03       Impact factor: 4.910

5.  Fitness supplements as a gateway substance for anabolic-androgenic steroid use.

Authors:  Tom Hildebrandt; Seth Harty; James W Langenbucher
Journal:  Psychol Addict Behav       Date:  2012-04-09

6.  Changes in the frequency of family meals from 1999 to 2010 in the homes of adolescents: trends by sociodemographic characteristics.

Authors:  Dianne Neumark-Sztainer; Melanie Wall; Jayne A Fulkerson; Nicole Larson
Journal:  J Adolesc Health       Date:  2012-08-20       Impact factor: 5.012

7.  Does exposure to controlling parental feeding practices during adolescence predict disordered eating behaviors 8 years later in emerging adulthood?

Authors:  Vivienne M Hazzard; Katie A Loth; Jerica M Berge; Nicole I Larson; Jayne A Fulkerson; Dianne Neumark-Sztainer
Journal:  Pediatr Obes       Date:  2020-08-13       Impact factor: 4.000

8.  Exposure to Adverse Events and Associations with Stress Levels and the Practice of Yoga: Survey Findings from a Population-Based Study of Diverse Emerging Young Adults.

Authors:  Dianne Neumark-Sztainer; Melanie M Wall; Jongwoo Choi; Daheia J Barr-Anderson; Susan Telke; Susan M Mason
Journal:  J Altern Complement Med       Date:  2020-04-30       Impact factor: 2.579

9.  The Confounder-Mediator Dilemma: Should We Control for Obesity to Estimate the Effect of Perfluoroalkyl Substances on Health Outcomes?

Authors:  Kosuke Inoue; Atsushi Goto; Takehiro Sugiyama; Cecilia Høst Ramlau-Hansen; Zeyan Liew
Journal:  Toxics       Date:  2020-12-20

10.  What is the psychological impact of self-weighing? A meta-analysis.

Authors:  Yael Benn; Thomas L Webb; Betty P I Chang; Benjamin Harkin
Journal:  Health Psychol Rev       Date:  2016-02-09
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