Appearance anxiety and depression have become common and global public health problems worldwide, especially among adolescents. However, few studies have revealed the mechanisms between them. This study aimed to explore the multiple mediating roles of interpersonal sensitivity and social support between appearance anxiety and depression among medical college students.
Background: Cognitive impairment (CI) is a common mental health disorder among older adults, and dietary patterns have an impact on cognitive function. However, no systematic researches have constructed anti-inflammatory diet (AID) and protein-enriched diet (PED) to explore their association with CI among older adults in China. Methods: The data used in this study were obtained from the 2018 waves of the China Longitudinal Health and Longevity Survey (CLHLS). We construct AID, PED, and calculate scores for CI. We use binary logistic regression to explore the relationship between them, and use restrictive cubic splines to determine whether the relationships are non-linear. Subgroup analysis and sensitivity analysis were used to demonstrate the robustness of the results. Results: A total of 8692 participants (mean age is 83.53 years) were included in the analysis. We found that participants with a higher AID (OR = 0.789, 95% confidence interval: 0.740–0.842, p < 0.001) and PED (OR = 0.910, 95% confidence interval: 0.866–0.956, p < 0.001) score showed lower odds of suffering from CI. Besides, the relationship between the two dietary patterns and CI is linear, and the results of subgroup analysis and sensitivity analysis are also significant. Conclusion: Higher intakes of AID and PED are associated with a lower risk of CI among older adults, which has important implications for future prevention and control of CI from a dietary and nutritional perspective.
Abstract Background As the global population is aging, China has also entered an aging society at this stage. Numerous studies have shown that sleep disorders and mental health problems are more serious in the elderly compared to adults. This study aims to explore the effects of living patterns on the sleep duration and mental health status of older adults in China. Methods A total of 5,899 participants from the China Health and Retirement Longitudinal Study 2018 baseline study were included in this study. Data were statistically analyzed using SPSS version 25.0, and logistic regression models were used to analyze the effects of two living patterns, living with and without children, on sleep duration, and mental health of older adults. Results This study shows not living with children were significant for napping 31–60 min/day and > 60 min/day (OR = 1.137, P < 0.05; OR = 1.185, P < 0.05), indicating that most older adults can get longer naps without living with children. The findings of short sleep (< 7h/day) were significant when not living with children (OR = 0.896, P < 0.05). Different living patterns were positively correlated with depressive symptoms (OR = 1.139, P < 0.05), indicating that compared with "not living with children", "living with children" had a lower depression score and was less likely to acquire depressive symptoms; Not significant in happiness, life satisfaction, no correlation can be drawn. Conclusions Living patterns were significantly associated with sleep duration, mental health status of Chinese older adults.
Background Numerous studies have confirmed that sleep duration affects physical and mental health. However, limited evidence has been explored regarding the influences associated with nap time and night sleep time among Chinese older adults.
Background Depressive symptoms are a common complication in patients with cataracts and may exacerbate cataract symptoms. Therefore, it is important to focus on depressive symptoms and their influencing factors in older people with cataracts. The purpose of this study was to investigate the prevalence rate of depressive symptoms and influencing factors in Chinese older people with cataracts. Methods Descriptive analyses were used to report the sociodemographic characteristics, lifestyle, health status, and depressive symptoms of old people with cataracts in China. The chi-square test was used to compare differences between subjects with different demographic characteristics. Binary logistic regression was used to analyze the factors that influenced the depressive symptoms of cataract patients. Meanwhile, a random forest model was developed in this study to rank the importance of the influencing factors. Results Three hundred and six (25.27%) of 1,211 cataract patients included in this study suffered from depressive symptoms. Logistic regression analysis suggested that poor economic situation (AOR = 3.162, 95%CI: 1.719–5.817), social participation (AOR = 1.530, 95%CI: 1.053–2.222), having hearing disorder (AOR = 1.445, 95%CI: 1.040–2.008), poor self-reported health status (AOR = 2.646, 95%CI: 1.705–4.106), poor life satisfaction (AOR = 3.586, 95%CI: 1.652–7.784) were risk factors for depressive symptoms in cataract patients and consumption of fresh fruits (AOR = 0.587, 95%CI: 0.369–0.933) was a protective factor for depressive symptoms in cataract patients. The results of the random forest showed that self-reported health status was the most important factor influencing depressive symptoms in cataract patients. The other factors, in order of importance, were life satisfaction, economic situation, fruits, hearing disorder, and social participation. Conclusion The results suggested that the development of depressive symptoms in cataract patients was influenced by various factors. Medical staff should monitor these influencing factors more closely when treating and caring for patients with cataracts.
Abstract Background There is growing evidence that addressing the health problems associated with population aging is imminent. We aimed to explore the effects of living arrangements on dietary diversity and mental health from an older Chinese population and to examine the mediating role of dietary diversity to provide a theoretical basis for how to better promote healthy aging. Methods Using data from the seventh Chinese Longitudinal Healthy Longevity Survey (CLHLS) and including relevant basic demographic characteristics variables as control variables, this study used logistic regression to investigate the relationship between living arrangements of older adults on dietary diversity, depression and anxiety, and used the PROCESS procedure to test for mediating effects. Results Older adults living with their families and those living in nursing homes had higher dietary diversity scores compared to those living alone. Older adults living in nursing homes were more likely to acquire depression than those living alone, and those living with family members were at lower risk of depression. There was no significant effect of living arrangement of older adults on anxiety. The mediating effect of dietary diversity between living arrangement and depression was significant. Conclusion Living arrangements directly affect older people's dietary diversity and depression, and dietary diversity mediates the relationship between living arrangements and depression. Our findings can contribute to current theory and knowledge and provide insights into social policy, elderly services, and social work interventions for the older adults in China.
(1) Background: During the past 3 years, the COVID-19 pandemic has severely affected the normal school schedule of college students, jeopardizing their mental health, sleep quality, and interpersonal relationships. However, previous studies have focused on the dimension of social support received, and few studies have measured in depth the association of support received from family on adolescents’ physical and mental health. Therefore, this study explored the associations between family support received by Chinese college students during COVID-19 pandemic online classes, stress and sleep quality, and the mediating role of stress. (2) Methods: A cross-sectional study conducted at Chongqing Medical University recruited 712 college students through a university-wide incidental random sample using the Questionnaire Star platform. Statistical description and correlation analysis was conducted using SPSS 25.0, and structural equation modeling was constructed using AMOS 22.0 to test for mediating effects; (3) Results: The family support score of college students during the COVID-19 pandemic online course was 19.41 ± 4.62. Correlation analysis showed that sleep quality was negatively correlated with family support (r = −0.224, p < 0.01), positively correlated with stress (r = 0.324, p < 0.01), and family support was negatively correlated with stress (r = −0.159, p < 0.01). The results of structural equation modeling showed that stress partially mediated the relationship between family support and sleep quality among college students (indirect effect = −0.150, p < 0.01, SE = 0.013,95% CI = [−0.208, −0.064]). The model R2 was 36.4%. (4) Conclusions: Schools should consider implementing sleep education, and stress relief curriculum measures to improve the quality of students’ sleep, and should focus on the role that family plays during online classes. This will help students overcome the negative emotional effects of stress in the COVID-19 pandemic and improve their learning efficiency and physical and mental health.
Suicide ideation has high prevalence in adolescents, better future time perspective is considered a protective role for anxiety, depression, and suicide ideation. However, the impact of future time perspective on suicide ideation remains unclear, especially when anxiety and depression as mediating roles.
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