Demographic correlates of weight-loss strategies in US adults: Cross-sectional analysis of NHANES data 2017–2020

Autor: Amin Mokari-Yamchi, Richard R. Rosenkranz
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Preventive Medicine Reports, Vol 46, Iss , Pp 102873- (2024)
Druh dokumentu: article
ISSN: 2211-3355
DOI: 10.1016/j.pmedr.2024.102873
Popis: Objective: To investigate the frequency of various weight loss strategies among adults in the United States and to explore which weight-loss strategies are associated with several demographic factors. Methods: The study utilized 2017–2020 data from the National Health and Nutrition Examination Survey. Adult participants (N = 3,130) who had tried to lose weight during the past year were included. Pregnant women and individuals under age 20y were excluded. Weight-loss strategies were categorized into 6 groups: consuming more healthy options (e.g., more fruits); consuming less un-healthy options (e.g., junk food); quality of diet changes (e.g., changed eating habits); assisted weight-loss method (e.g., special diet); exercising; and un-healthy strategies (e.g., vomiting). Adjusted odds ratios (aORs) and 95%CIs were calculated using weighted logistic regression models. Results: The most frequently employed strategies to achieve weight loss were exercising (60.6%), consuming less un-healthy options (60.4%), and drinking a lot of water (55.3%). Un-healthy strategies were less prevalent among older individuals (aOR:0.46 [95% CI:0.37–0.58]) and those with higher incomes (aOR:0.69 [95% CI:0.54–0.89]). Conversely, individuals with obesity class I (aOR:1.85 [95% CI:1.38–2.48]) and obesity class II/III (aOR:1.69 [95% CI:1.27–2.25) showed an increased likelihood of adopting unhealthy strategies. Similarly, widowed individuals (aOR:1.31 [95% CI:1.03–1.66]) and those who have never been married (aOR:1.36 [95% CI:1.09–1.69]) exhibited a higher tendency for such behaviors compared to married individuals. Conclusion: The likelihood of using various weight-loss methods differs based on demographic characteristics. Recognizing these tendencies can guide public health initiatives and customized strategies for weight control.
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