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Predictors of Food and Physical Activity Tracking Among Young Adults
BACKGROUND: Monitoring food intake and physical activity (PA) using tracking applications may support behavior change. However, few longitudinal studies identify the characteristics of young adults who track their behavior, findings that could be useful in designing tracking-related interventions. O...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10492434/ https://www.ncbi.nlm.nih.gov/pubmed/36942324 http://dx.doi.org/10.1177/10901981231159679 |
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author | O’Loughlin, Erin K. Marashi, Maryam Sabiston, Catherine M. Lucibello, Kristen M. Sylvestre, Marie-Pierre O’Loughlin, Jennifer L. |
author_facet | O’Loughlin, Erin K. Marashi, Maryam Sabiston, Catherine M. Lucibello, Kristen M. Sylvestre, Marie-Pierre O’Loughlin, Jennifer L. |
author_sort | O’Loughlin, Erin K. |
collection | PubMed |
description | BACKGROUND: Monitoring food intake and physical activity (PA) using tracking applications may support behavior change. However, few longitudinal studies identify the characteristics of young adults who track their behavior, findings that could be useful in designing tracking-related interventions. Our objective was to identify predictors of past-year food and PA tracking among young adults. METHODS: Data were available for 676 young adults participating in the ongoing longitudinal Nicotine Dependence in Teens Study. Potential predictors were measured in 2017–2020 at age 31, and past-year food and PA tracking were measured in 2021–2022 at age 34. Each potential predictor was studied in a separate multivariable logistic regression model controlling for age, sex, and educational attainment. RESULTS: One third (37%) of participants reported past-year PA tracking; 14% reported past-year food, and 10% reported both. Nine and 11 of 41 potential predictors were associated with food and PA tracking, respectively. Compensatory behaviors after overeating, trying to lose weight, self-report overweight, reporting a wide variety of exercise behaviors, and pressure to lose weight predicted both food and PA tracking. CONCLUSION: Food and PA tracking are relatively common among young adults. If the associations observed herein between compensatory behavior after overeating and tracking (among other observed associations) are replicated and found to be causal, caution may need to be exercised in making “blanket” recommendations to track food intake and/or PA to all young adults seeking behavior change. |
format | Online Article Text |
id | pubmed-10492434 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-104924342023-09-10 Predictors of Food and Physical Activity Tracking Among Young Adults O’Loughlin, Erin K. Marashi, Maryam Sabiston, Catherine M. Lucibello, Kristen M. Sylvestre, Marie-Pierre O’Loughlin, Jennifer L. Health Educ Behav Youth Health BACKGROUND: Monitoring food intake and physical activity (PA) using tracking applications may support behavior change. However, few longitudinal studies identify the characteristics of young adults who track their behavior, findings that could be useful in designing tracking-related interventions. Our objective was to identify predictors of past-year food and PA tracking among young adults. METHODS: Data were available for 676 young adults participating in the ongoing longitudinal Nicotine Dependence in Teens Study. Potential predictors were measured in 2017–2020 at age 31, and past-year food and PA tracking were measured in 2021–2022 at age 34. Each potential predictor was studied in a separate multivariable logistic regression model controlling for age, sex, and educational attainment. RESULTS: One third (37%) of participants reported past-year PA tracking; 14% reported past-year food, and 10% reported both. Nine and 11 of 41 potential predictors were associated with food and PA tracking, respectively. Compensatory behaviors after overeating, trying to lose weight, self-report overweight, reporting a wide variety of exercise behaviors, and pressure to lose weight predicted both food and PA tracking. CONCLUSION: Food and PA tracking are relatively common among young adults. If the associations observed herein between compensatory behavior after overeating and tracking (among other observed associations) are replicated and found to be causal, caution may need to be exercised in making “blanket” recommendations to track food intake and/or PA to all young adults seeking behavior change. SAGE Publications 2023-03-20 2023-10 /pmc/articles/PMC10492434/ /pubmed/36942324 http://dx.doi.org/10.1177/10901981231159679 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Youth Health O’Loughlin, Erin K. Marashi, Maryam Sabiston, Catherine M. Lucibello, Kristen M. Sylvestre, Marie-Pierre O’Loughlin, Jennifer L. Predictors of Food and Physical Activity Tracking Among Young Adults |
title | Predictors of Food and Physical Activity Tracking Among Young Adults |
title_full | Predictors of Food and Physical Activity Tracking Among Young Adults |
title_fullStr | Predictors of Food and Physical Activity Tracking Among Young Adults |
title_full_unstemmed | Predictors of Food and Physical Activity Tracking Among Young Adults |
title_short | Predictors of Food and Physical Activity Tracking Among Young Adults |
title_sort | predictors of food and physical activity tracking among young adults |
topic | Youth Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10492434/ https://www.ncbi.nlm.nih.gov/pubmed/36942324 http://dx.doi.org/10.1177/10901981231159679 |
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