Prevalence and risk factors of depression in the empty nest elderly from the Sichuan Longmenshan fault earthquake

Latent profile analysis of depression among empty nesters in China

OBJECTIVES

The study aimed to explore the depression profile of empty nesters and to identify heterogeneous subgroups in the elderly population. It explored the influencing factors of depression in elderly people with different depression profiles, with a view to provide a reference basis for improving the depression situation of empty-nesting elderly people.

METHODS

This study used the Chinese Longitudinal Healthy Lifespan Survey (CLHLS) survey data, with empty nesters over 60 as the research subjects. Latent profile analysis (LPA) was used to fit potential classes of depression in empty nesters; chi-square tests, Kruskal-Wallis, and multinomial logistic regression were used to explore the factors influencing different depression profiles in older adults.

RESULTS

A total of 4481 subjects were included in this study and were classified as low-level (11.6 %), moderate-level (51.6 %), and high-level (36.8 %). Compared to the low-level, the influencing factors for the high-level were IADL, anxiety, self-rated health, exercise, and education; and the influencing factors for the medium level group were anxiety, self-rated health, drink, and education. Factors influencing high-level relative to the mid-level group were IADL, anxiety, residence, self-rated health, exercise, and limited in activities.

LIMITATIONS

The CESD-10, as a screening tool, could not completely determine the presence of depression in high levels of empty nesters.

CONCLUSIONS

Psychological problems arising from depression among empty nesters seriously affected their overall health, and targeted intervention strategies should be developed for different categories of older adults to improve depression and enhance health-related quality of life.

Community social capital and the health-related quality of life among empty-nest elderly in western China: moderating effect of living arrangements

BACKGROUND

At present, the empty nest phenomenon is becoming more and more serious in the world, especially in China, and its health problems deserve attention. Therefore, the purpose of this study is to explore the impact of community social capital on the health-related quality of life of empty-nest elderly.

METHODS

The study used data collected from a survey study conducted between 2018 and 2019 in Sichuan province, China, with 638 empty-nest elderly meeting our criteria. SF-12 scale and self-made social capital scale were used to evaluate the health-related quality of life and community social capital of empty-nest elderly. Through descriptive statistical analysis, bivariate analysis and hierarchical multiple regression model, this study analyzes the relationship between community social capital and health-related quality of life of empty-nest elderly. Considering the role of living arrangements, this study further uses the simple effect analysis method to explore the moderating role of living arrangements.

RESULTS

After controlling the relevant variables, the cognitive social capital (CSC) of empty-nest elderly had a positive relationship with the physical health summary (PCS) (β = 0.188, p＜0.001) and mental health summary (MCS) (β = 0.205, p＜0.001). No effect of structural social capital on quality of life was found as a result. Living arrangements played a moderation effect on the relationship between CSC and MCS (β=-2.018, p＜0.05). The MCS score of high CSC group (55.516 ± 0.757) was significantly higher than that of low CSC group (49.383 ± 0.722).

CONCLUSION

The results suggest empty-nest elderly has poorer physical health and weaker structural social capital, while the cognitive social capital has a greater positive impact on their quality of life. Targeted interventions to enhance community social capital may be beneficial to improve health status of this vulnerable population.

Mental Health Disturbance after a Major Earthquake in Northern Peru: A Preliminary, Cross-Sectional Study

Little has been studied in Peru on the mental health repercussions after a major earthquake. We aimed to explore the factors associated with depressive and anxiety symptoms in people who experienced a 6.1 magnitude earthquake in Piura, Peru, on 30 July 2021. A preliminary cross-sectional study was conducted in the general population between August–September 2021. An online questionnaire was provided using PHQ-9, GAD-7, and other relevant measures. Generalized linear models were applied. Of the 177 participants, the median age was 22 years, the majority were female (56%), and many experienced depressive (52%) or anxiety symptoms (52%). Presence of depressive symptoms was associated with a personal history of mental disorder, moderate housing damage, social/material support from politicians, moderate food insecurity, and insomnia. Presence of anxiety symptoms was associated with physical injury caused by the earthquake, mild food insecurity, and insomnia. The development of depressive and anxiety symptoms following the 2021 earthquake experienced in Piura depended on multiple individual and socioeconomic factors. Additional studies should reinforce the factors identified here given the methodological limitations, such as the study design, sampling method, and sample size. This would lead to effective intervention measures to mitigate the impact of earthquakes on mental health.

Urban-rural differences in the effect of empty-nest on mental health and behaviors of Chinese older population

This study aimed to comprehensively analyze the effect of empty-nest on mental health and behaviors of the older population and explore the urban-rural differences. Data from the Cohort of Older People Health and Environment Controllable Factors were used, including 1071 older people aged 60 or over from a rural and an urban. Mental health, daily life behaviors, chronic physical diseases, and activities of daily living were evaluated. Logistic regression was used. The prevalence of empty-nest in older people was 55.0% in urban and 58.7% in rural. The empty-nest older people in urban were more likely to participate in physical exercise (OR[95%CI]: 1.55[1.03-2.31]), while the empty-nest older people in rural had lower rate of smoking (OR[95%CI]: 0.46[0.28-0.76]) and religious belief (OR[95%CI]: 1.61[1.01-2.58]), and higher prevalence of depression (OR[95%CI]: 1.55[1.03-2.35]) and higher level of total cholesterol (OR[95%CI]: 1.51[1.03-2.19]) compared with the non-empty-nest older people. In conclusion, the prevalence of empty-nest in older people was high both in rural and urban in China. Empty-nest exerts greater influences on the older people in rural than in urban, which should be given more attention, especially the depression and high total cholesterol.

Prevalence of and Risk Factors for Depression Among Older Persons 6 Months After the Lushan Earthquake in China: A Cross-Sectional Survey

BACKGROUND

Older persons are particularly vulnerable to the impact of earthquakes and are more likely to suffer from depression.

OBJECTIVES

We aimed to estimate the prevalence of depression, to compare the prevalence between disaster-affected and non-disaster affected areas, and to explore additional risk factors for depression 6 months after the Lushan earthquake.

DESIGN

A cross-sectional study was conducted.

SETTING

A magnitude 7.0 earthquake occurred in Lushan County, Ya'an Prefecture, Sichuan Province, on April 20, 2013. In total, 196 people were killed, and 11,470 were injured over 5 days.

PARTICIPANTS

A multistage cluster sampling strategy was used. A total of 1,509 older persons (aged 60 or older) participated.

METHODS

The Geriatric Depression Scale-15, the University of California Los Angeles Loneliness scale, the Activities of Daily Living Scale, the Social Support Rating Scale, and the Family Apgar Index scale were used to evaluate symptoms of depression, loneliness, dependence with respect to activities of daily living, perceived social support, and family function, respectively. A generalized linear regression model and multiple logistic regression analysis were employed to identify risk factors for depression.

RESULTS

Using a cutoff score of 8, the prevalence of depression was 29.16% in the hardest-hit disaster area, 29.06% in the hard-hit disaster area, 31.61% in the moderately-hit disaster area, 17.94% in the remote non-disaster area, and 12.28% in the neighboring non-disaster area. The prevalence was significantly higher in the disaster areas than in the non-disaster areas. Risk factors for depression included an educational level of elementary school or lower, a greater number of chronic illnesses, feelings of loneliness, limitations in activities of daily living, family dysfunction, and low levels of social support.

CONCLUSION

Depression was highly prevalent in elderly survivors and was significantly more prevalent in disaster areas than in non-disaster areas. Psychological interventions and care should focus on older survivors.

A Large Sample Survey of Tibetan People on the Qinghai-Tibet Plateau: Current Situation of Depression and Risk Factors

BACKGROUND

A depressive state is a negative emotional state characterized by abnormal dejection and unpleasant mood. Long-term depressive symptoms can result in psychological disorders such as depression. However, little is known about the depression status and risk factors of the Tibetan people on the Qinghai-Tibet Plateau.

OBJECTIVE

This study explores the depression status of the Tibetan people to better promote ethnic minorities' physical and mental health.

PARTICIPANTS AND SETTING

The Center for Epidemiologic Studies Depression Scale (CES-D) was administered to 24,141 Tibetan people from Yushu Prefecture; the average age was 34.33 years (SD = 9.18, range = 18-94 years).

MATERIALS AND METHODS

Participants completed questionnaires collecting demographic information and evaluating symptoms of depression.

RESULTS

The depression prevalence was higher at high altitudes, and there may be a significant positive correlation between depression rates and altitude. Significant differences were found for each demographic variable. Participants with depressive symptoms (scores ≥8) accounted for 52.3% of the total sample, and participants with depression (scores ≥14) accounted for 28.6%. The binary logistic regression results showed that alcohol drinkers, unmarried participants, participants with high self-assessed socioeconomic status, participants with a high income level, and those with a middle-school education were more likely to be depressed.

CONCLUSIONS

The results provide the first evidence that the prevalence of depression in Tibetans of the Qinghai-Tibet Plateau is higher than that in the general Chinese population and that reported in Western studies, a finding that may be related to cultural differences and chronic hypoxia caused by the high altitude. This paper offers insight into the mental health status of people living in plateau areas and provides a basis for formulating pertinent mental health policy.