scholarly journals Relationship between stress and weight management behaviors during the COVID‐19 pandemic among those enrolled in an internet program

2020 ◽  
Author(s):  
Christine A. Pellegrini ◽  
Jennifer Webster ◽  
Korina R. Hahn ◽  
Tiffany L. Leblond ◽  
Jessica L. Unick

2014 ◽  
Vol 124 (3) ◽  
pp. 579-584 ◽  
Author(s):  
Abbey B. Berenson ◽  
Ali M. Pohlmeier ◽  
Tabassum H. Laz ◽  
Mahbubur Rahman ◽  
Christine J. McGrath


2016 ◽  
Vol 58 (2) ◽  
pp. S102-S103 ◽  
Author(s):  
Carly E. Guss ◽  
David N. Williams ◽  
Sari L. Reisner ◽  
S. Bryn Austin ◽  
Sabra L. Katz-Wise


2011 ◽  
Vol 43 (2) ◽  
pp. 87-95 ◽  
Author(s):  
Mei-Wei Chang ◽  
Susan Nitzke ◽  
Roger Brown ◽  
Linda Baumann


2014 ◽  
Vol 84 (10) ◽  
pp. 654-660 ◽  
Author(s):  
Kyeongra Yang ◽  
Melanie T. Turk ◽  
Virginia L. Allison ◽  
Khara A. James ◽  
Eileen Chasens


2014 ◽  
Vol 2 (3) ◽  
Author(s):  
Joseph M. Berning ◽  
Mark DeBeliso ◽  
Trish G. Sevene ◽  
Kent J. Adams ◽  
Paul Salmon ◽  
...  

This study addressed the role of chronic exercise to enhance physical self-description as measured by self-estimated percent body fat. Accuracy of physical self-description was determined in normal-weight, regularly exercising and non-exercising males with similar body mass index (BMI)’s and females with similar BMI’s (n=42 males and 45 females of which 23 males and 23 females met criteria to be considered chronic exercisers). Statistical analyses were conducted to determine the degree of agreement between self-estimated percent body fat and actual laboratory measurements (hydrostatic weighing). Three statistical techniques were employed: Pearson correlation coefficients, Bland and Altman plots, and regression analysis. Agreement between measured and self-estimated percent body fat was superior for males and females who exercised chronically, compared to non-exercisers. The clinical implications are as follows. Satisfaction with one’s body can be influenced by several factors, including self-perceived body composition. Dissatisfaction can contribute to maladaptive and destructive weight management behaviors. The present study suggests that regular exercise provides a basis for more positive weight management behaviors by enhancing the accuracy of self-assessed body composition.





2021 ◽  
Author(s):  
Tongxin Zhou ◽  
Lu (Lucy) Yan ◽  
Yingfei Wang ◽  
Yong Tan

Online weight-loss communities (OWCs) provide individuals with various tools to support their weight management, such as weight recorders and weight-loss journals. These tools enable individuals to focus on different aspects of their self-regulation, including weight-loss outcomes and behavioral routines. Prior research, however, has not fully incorporated individuals’ self-regulation focuses; thus, there is limited understanding of individuals’ online weight-management dynamics as well as the operating mechanisms of OWCs. This gap in the literature motivates us to develop a framework that is able to account for individuals’ multiple self-regulation focuses, termed self-regulatory dimensions in this study. We propose a multidimensional, continuous-time hidden Markov model, which can not only capture individuals’ self-regulatory dimensions jointly as a multidimensional vector, but also can incorporate a hidden layer of dynamics that depicts individuals’ cognitive states in producing weight-management behaviors. By investigating a leading noncommercial OWC in the United States, we find that individuals tend to increase their journal-recording behaviors while decreasing self-weighing behaviors after they have participated in online social activities. Given that individuals usually expend limited effort toward weight management, this result suggests that individuals may shift their focus from weight-loss outcomes (i.e., changes in weight) to weight-management behavioral routines. Therefore, neglecting either self-regulatory dimension would result in an underestimation of individuals’ engagement in conducting self-management in OWCs. Our results also provide insight into social influence on individuals’ weight-management behaviors. This study contributes to the extant literature on individuals’ engagement in online healthcare communities and the functionality of OWCs. This paper was accepted by Anandhi Bharadwaj, information systems.



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