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| Mediating effect of negative emotions on visual impairment and resilience among middle-aged and elderly populations |
| WU Zhengyu1, WANG Dewen1, LIU Zhengkui2
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1. School of Public Affair, Xiamen University, Xiamen, Fujian 361000, China;
2. Institute of Psychology of the Chinese Academy of Sciences, Beijing 100103, China |
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Abstract Objective To investigate the mediating effect of negative emotions on visual impairment and resilience among middle-aged and elderly populations, so as to provide insights into improving psychological health among middle-aged and elderly populations. Methods Demographic information, visual impairment, negative emotions and resilience in the residents at ages of 45 years and older were collected through the database of the Yushu Physical and Mental Health Survey carried out by Institute of Psychology of Chinese Academy of Sciences. Structural equation model was used to analyze the effects of visual impairment and resilience and the mediating role of negative emotions. Results Totally 2 997 middle-aged and elderly populations were enrolled, with the median age of 50.00 (interquartile range, 47.00) years. There were 1 320 males (44.04%) and 1 677 females (55.96%), 1 627 illiterate persons (54.29%), and 2 780 married persons (92.76%). The scores of visual impairment, negative emotions and resilience were (6.79±2.59), (6.35±3.05) and (33.38±10.41) points, respectively. The results of structural equation model analysis showed that after adjusting for age, gender, educational level and marital status, visual impairment had a direct negative positive effect on resilience, with a direct effect value of -0.157 (95%CI: -0.177 to -0.137), and visual impairment could also negatively affect residence through negative emotions, with a mediating effect value of -0.112 (95%CI: -0.126 to -0.104), and the mediating effect contributed 41.64% to the total effect. Conclusion visual impairment could reduce residence directly or indirectly through the mediating effect of negative emotions among middle-aged and elderly populations.
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Received: 30 August 2023
Revised: 05 December 2023
Published: 12 January 2024
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