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Self-weighing Frequency and Its Relationship with Health Measures

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Objectives: In this study, we investigated self-weighing frequency (SWF) among adults and whether SWF was associated with health markers. Methods: We had 533 US adults complete a questionnaire on SWF and other health markers. Respondents were categorized into 4 quartiles of SWF: "Never," "<1x/week," "1x/week," or ">1x/week." Results: Overall, 60.0% of adults weighed <1x/week and 25% never weighed. More frequent self-weighing was associated with less sedentary time, more vigorous physical activity (PA) and several healthier practices including reading nutrition labels, eating whole grains, drinking less soda, self-monitoring of food, PA and weight change, and consuming lower- or no-calorie beverages and sweeteners. Conversely, there was no difference in BMI, age, stress, education, sleep, screen time, or chronic diseases between SWF quartiles. Conclusion: Whereas SWF was associated with some markers of health including vigorous PA and some healthier dietary habits, SWF was not linked to BMI, stress, sleep, or chronic diseases.
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Document Type: Research Article

Affiliations: 1: Department of Foods & Nutrition, University of Georgia, Athens, GA 2: Associate Professor, Department of Foods and Nutrition, University of Georgia, Athens, GA 3: Associate Professor, Department of Psychology, University of Georgia, Athens, GA;, Email: [email protected]

Publication date: September 1, 2019

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  • The American Journal of Health Behavior seeks to improve the quality of life through multidisciplinary health efforts in fostering a better understanding of the multidimensional nature of both individuals and social systems as they relate to health behaviors.

    The Journal aims to provide a comprehensive understanding of the impact of personal attributes, personality characteristics, behavior patterns, social structure, and processes on health maintenance, health restoration, and health improvement; to disseminate knowledge of holistic, multidisciplinary approaches to designing and implementing effective health programs; and to showcase health behavior analysis skills that have been proven to affect health improvement and recovery.

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