It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
Background
With the acceleration of population aging, the problem of obesity among older adults is becoming increasingly prominent, representing a major public health problem affecting the health of older adults. In recent years, socioeconomic status(SES) has become a hotspot in research into the mechanisms influencing obesity(OB). However, few studies have explored the process and mechanism of action by which SES affects obesity.
Methods
The sample consisted of 5,576 older adults (≥ 65 years), from a large cross-sectional study conducted in Deyang City, China. Different factors associated with OB in older adults were assessed using χ2 test. Pearson correlation analysis and the SPSS function “PROCESS macro” were used for correlation and serial multiple mediation analysis, respectively, to analyze the relationship between SES and OB, and the mediating role of social support and sleep quality.
Results
The prevalence of obesity among older adults aged ≥ 65 years was 11.05%. The risk of obesity was higher among older adults who were women, relatively young, less educated, non-smokers, or with chronic diseases. SES directly affects obesity (SE = 0.187, 95% CI: 0.105, 0.270), accounting for 88.21% of the total effect. Additionally, social support and sleep quality were found to mitigate the negative effect of high SES on obesity (SE = − 0.025, 95% CI: − 0.045, − 0.006), resulting in a suppressing effect that accounts for 11.79% of the total effect.
Conclusions
Greater social support and sleep quality lower the obesity risk associated with SES in older adults. Therefore, targeted prevention, control, and intervention measures, such as increasing social support and improving sleep quality, can be applied based on the characteristics of older adults of different socioeconomic statuses to minimize the socioeconomic status-associated obesity risks and thus achieve the goal of reducing obesity.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer