2022
DOI: 10.3389/fpsyg.2022.901969
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Urban–Rural Differences in Subjective Well-Being of Older Adult Learners in China

Abstract: Population aging has brought great challenges to many regions throughout the world. Enhancing the sense of participation, access, and well-being of older adults is the goal of China’s aging development. This study, taking urban–rural difference as the entry point, examined the difference in subjective well-being between urban and rural older learners. A total of 2,007 older adults learners (n = 2007) aged over 50 years were recruited in Zhejiang, Anhui, and Shandong Provinces in China, including 773 rural olde… Show more

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Cited by 2 publications
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“…We then conducted hierarchical multiple linear regression to examine whether income loss during the COVID-19 pandemic was associated with poor PWB. In step 1, the following predictor variables were introduced into the model for PWB: demographic and socioeconomic variables (age, gender, marital status, employment status, educational level, residential area and income level in the last year), health condition (chronic medical condition, self-rated health, participants themselves or their family members with confirmed COVID-19 infection) and health risk status (impact on diet caused by COVID-19, perceived risk of infection and actual risk level in the respondent’s place of residence), which were selected based on the knowledge of existing topic-related literature [ 40 44 ]. We also performed univariate linear regression analyses to evaluate potential confounders (all showed P < 0.05, in addition to residential area variables, see supplemental Table 1 ).…”
Section: Methodsmentioning
confidence: 99%
“…We then conducted hierarchical multiple linear regression to examine whether income loss during the COVID-19 pandemic was associated with poor PWB. In step 1, the following predictor variables were introduced into the model for PWB: demographic and socioeconomic variables (age, gender, marital status, employment status, educational level, residential area and income level in the last year), health condition (chronic medical condition, self-rated health, participants themselves or their family members with confirmed COVID-19 infection) and health risk status (impact on diet caused by COVID-19, perceived risk of infection and actual risk level in the respondent’s place of residence), which were selected based on the knowledge of existing topic-related literature [ 40 44 ]. We also performed univariate linear regression analyses to evaluate potential confounders (all showed P < 0.05, in addition to residential area variables, see supplemental Table 1 ).…”
Section: Methodsmentioning
confidence: 99%
“…Due to China's longstanding urban-rural divide, substantial disparities exist in the availability of health resources for middle-aged people and older adults residing in urban and rural areas ( 52 ). Consequently, when faced with health shocks, the trajectories of subjective wellbeing are theoretically divergent for these two groups ( 53 , 54 ). In terms of daily mobility, disability serves as a risk factor for numerous chronic ailments such as obesity, osteoporosis, and cardiovascular disease ( 55 57 ), and it is more likely to have a detrimental impact on the mental health of the aged ( 58 ).…”
Section: Literature Reviewmentioning
confidence: 99%