scholarly journals The Impact of Work Hours on Depressive Symptoms among Koreans Aged 45 and Over

2021 ◽  
Vol 18 (3) ◽  
pp. 853
Author(s):  
Juyeong Kim ◽  
Eun-Cheol Park
Keyword(s):  
Older Adults ◽  
Depressive Symptoms ◽  
Social Services ◽  
Depression Scale ◽  
Epidemiological Studies ◽  
Work Hours ◽  
Middle Aged ◽  
Health Studies ◽  
Males And Females ◽  
The Impact

Background: Given the documented importance of employment for middle-aged and older adults’ mental health, studies of the association between their number of work hours and depressive symptoms are needed. Objectives: To examine the association between the number of work hours and depressive symptoms in Korean aged 45 and over. Methods: We used data from the first wave to fourth wave of the Korea Longitudinal Study of Aging. Using the first wave at baseline, data included 9845 individuals. Depressive symptoms were measured using the 10-item Center for Epidemiological Studies Depression scale. We performed a longitudinal analysis to estimate the prevalence of depressive symptoms by work hours. Results: Both unemployed males and females aged 45–65 years were associated with higher depressive symptoms (β = 0.59, p < 0.001; β = 0.32, p < 0.001). Females working ≥ 69 h were associated with higher depressive symptoms compared to those working 41–68 h (β = 0.25, p = 0.013). Among those both middle-aged and older adults, both males and females unemployed were associated with higher depressive symptoms. Those middle-aged female working ≥69 h were associated with higher depressive symptoms. Conclusions: An increase in depressive symptoms was associated with unemployed males and females working ≥69 h compared to those working 41–68 h. Although this association was found among middle-aged individuals, a decrease in depressive symptoms in both sexes was associated with working 1–40 h. Depressive symptoms should decrease by implementing employment policies and social services to encourage employers to support middle-aged and older adults in the workforce considering their sex and age differences.

The impact of cataract surgery on depressive symptoms for bilateral cataract patients in Ho Chi Minh City, Vietnam

2013 ◽  
Vol 26 (2) ◽  
pp. 307-313 ◽  
Author(s):  
Kien Gia To ◽  
Lynn B. Meuleners ◽  
Michelle L. Fraser ◽  
Dat Van Duong ◽  
Dung Van Do ◽  
...  
Keyword(s):  
Visual Acuity ◽  
Depressive Symptoms ◽  
Cataract Surgery ◽  
Contrast Sensitivity ◽  
Depression Scale ◽  
Epidemiological Studies ◽  
Ho Chi Minh City ◽  
Bilateral Cataract ◽  
Vietnamese Population ◽  
The Impact

ABSTRACTBackground:Depression is common among older populations with cataract. However, the impact of cataract surgery on depression in both developed and developing countries remains unclear. The aim of this study is to determine the impact of cataract surgery on depressive symptoms and to examine the association between objective visual measures and change in depressive symptoms after surgery among a Vietnamese population in Ho Chi Minh City.Methods:A cohort of older patients with bilateral cataract were assessed the week before and one to three months after first eye surgery only or first- and second-eye cataract surgeries. Visual measures including visual acuity, contrast sensitivity, and stereopsis were obtained. Depressive symptoms were assessed using the 20-item Center for Epidemiological Studies-Depression Scale (CES-D). Descriptive analyses and a generalized estimating equations (GEE) analysis were undertaken to determine the impact of cataract surgery on depressive symptoms.Results:Four hundred and thirteen participants were recruited into the study before cataract surgery. Two hundred and forty-seven completed the follow-up assessment after surgery. There was a significant decrease (improvement) of one point in the depressive symptoms score (p = 0.04) after cataract surgery, after accounting for potential confounding factors. In addition, females reported a significantly greater decrease (improvement) of two points in depressive symptom scores (p = 0.01), compared to males. However, contrast sensitivity, visual acuity, and stereopsis were not significantly associated with change in depressive symptoms scores. First-eye cataract surgery or both-eye cataract surgery did not modify the change in depressive symptoms score.Conclusion:There was a small but significant improvement in depressive symptoms score after cataract surgery for an older population in Vietnam.

scholarly journals Assessing the Impact of a Hilly Environment on Depressive Symptoms among Community-Dwelling Older Adults in Japan: A Cross-Sectional Study

2021 ◽  
Vol 18 (9) ◽  
pp. 4520
Author(s):  
Takafumi Abe ◽  
Kenta Okuyama ◽  
Tsuyoshi Hamano ◽  
Miwako Takeda ◽  
Masayuki Yamasaki ◽  
...  
Keyword(s):  
Older Adults ◽  
Depressive Symptoms ◽  
Depression Scale ◽  
Cross Sectional Study ◽  
Community Dwelling ◽  
Rural Setting ◽  
Sectional Study ◽  
Cross Sectional ◽  
The Impact ◽  
Community Dwelling Older Adults

Although some neighborhood environmental factors have been found to affect depressive symptoms, few studies have focused on the impact of living in a hilly environment, i.e., land slope, on depressive symptoms among rural older adults. This cross-sectional study aimed to investigate whether a land slope is associated with depressive symptoms among older adults living in rural areas. Data were collected from 935 participants, aged 65 years and older, who lived in Shimane prefecture, Japan. Depressive symptoms were assessed using the Zung Self-Rating Depression Scale (SDS) and defined on the basis of an SDS score ≥ 40. Land slopes within a 400 m network buffer were assessed using geographic information systems. Odds ratios (ORs) with 95% confidence intervals (CIs) of depressive symptoms were estimated using logistic regression. A total of 215 (23.0%) participants reported depressive symptoms. The land slope was positively associated with depressive symptoms (OR = 1.04; 95% CI = 1.01–1.08) after adjusting for all confounders. In a rural setting, living in a hillier environment was associated with depressive symptoms among community-dwelling older adults in Japan.

scholarly journals Socio-demographic characteristics and co-occurrence of depressive symptoms with chronic diseases among older adults in China: the China Longitudinal Ageing Social Survey

2019 ◽  
Author(s):  
Zhenjie Wang ◽  
Hanmo Yang ◽  
Zhanyuan Guo ◽  
Bei Liu ◽  
Shen Geng
Keyword(s):  
Older Adults ◽  
Depressive Symptoms ◽  
Chronic Diseases ◽  
Odds Ratio ◽  
Logistic Regression Model ◽  
Depression Scale ◽  
Epidemiological Studies ◽  
Education Attainment ◽  
Cross Sectional ◽  
Social Survey

Abstract Background: The aim of the current study is to assess the cross-sectional association of chronic non-communicable diseases (hypertension, diabetes mellitus, arthritis, and cerebrovascular) with depressive symptoms among older adults in China. Methods: Data was obtained from the China Longitudinal Ageing Social Survey (CLASS) conducted in 2014. A total of 7505 participants were included. Depressive symptoms status was assessed by 9-item Center for Epidemiological Studies Depression Scale (CES-D) Associations between depressive symptoms and chronic diseases, adjusting for so, demographics and chronic diseases risk factors were assessed by using logistic regression model. Results: We found negative associations between depressive symptoms and several socioeconomic factors, including education attainment and economic level. Widowed/divorced/ unmarried individuals are more likely to suffer from depressive symptoms. Hypertension (Odds ratio:1.29 [95%CI:1.16, 1.42]), diabetes (1.41 [95%CI:1.19,1.67]), arthritis (1.72 [1.52, 1.96]), and cerebrovascular disease (1.69 [1.41, 2.02]) were found to be associated with depressive symptoms. Conclusions: Most depressive symptoms cases were found to be significantly associated with chronic diseases. Our findings have provided evidence for understanding co-morbid depressive symptoms with chronic diseases, which could help clinicians to evaluate, diagnose and manage depression promptly.

scholarly journals Socio-demographic characteristics and co-occurrence of depressive symptoms with chronic diseases among older adults in China: the China Longitudinal Ageing Social Survey

2019 ◽  
Author(s):  
Zhenjie Wang ◽  
Hanmo Yang ◽  
Zhanyuan Guo ◽  
Bei Liu ◽  
Shen Geng
Keyword(s):  
Older Adults ◽  
Depressive Symptoms ◽  
Chronic Diseases ◽  
Odds Ratio ◽  
Logistic Regression Model ◽  
Depression Scale ◽  
Epidemiological Studies ◽  
Education Attainment ◽  
Cross Sectional ◽  
Social Survey

Abstract Background: The aim of the current study is to assess the cross-sectional association of chronic non-communicable diseases (hypertension, diabetes mellitus, arthritis, and cerebrovascular) with depressive symptoms among older adults in China. Methods: Data was obtained from the China Longitudinal Ageing Social Survey (CLASS) conducted in 2014. A total of 7505 participants were included. Depressive symptoms status was assessed by 9-item Center for Epidemiological Studies Depression Scale (CES-D) Associations between depressive symptoms and chronic diseases, adjusting for so, demographics and chronic diseases risk factors were assessed by using logistic regression model. Results: We found negative associations between depressive symptoms and several socioeconomic factors, including education attainment and economic level. Widowed/divorced/ unmarried individuals are more likely to suffer from depressive symptoms. Hypertension (Odds ratio:1.29 [95%CI:1.16, 1.42]), diabetes (1.41 [95%CI:1.19,1.67]), arthritis (1.72 [1.52, 1.96]), and cerebrovascular disease (1.69 [1.41, 2.02]) were found to be associated with depressive symptoms. Conclusions: Most depressive symptoms cases were found to be significantly associated with chronic diseases. Our findings have provided evidence for understanding co-morbid depressive symptoms with chronic diseases, which could help clinicians to evaluate, diagnose and manage depression promptly.

scholarly journals Chronic Pain And Depressive Symptoms In Chinese Middle-Aged And Older Adults:A Follow Up Study

2021 ◽  
Author(s):  
Jialin Liu ◽  
Zixuan Chen ◽  
Yuke Yu ◽  
Qin Wang ◽  
Xiuxiu Liu ◽  
...  
Keyword(s):  
Older Adults ◽  
Chronic Pain ◽  
Depressive Symptoms ◽  
Health Status ◽  
Elderly People ◽  
Elderly Care ◽  
Univariate Analysis ◽  
Depression Scale ◽  
Middle Aged

Abstract Objective: This study aimed to analyze the effects of chronic pain on the occurrence of depressive symptoms in Chinese middle-aged and older adults, and to provide a scientific basis for reducing the incidence of depressive symptoms, improving the quality of life in middle-aged and older adults, and reducing the disease burden in the aging population.Methods: a prospective study was conducted to select adults aged 45 years or older from the longitudinal study of China Health and elderly care follow-up survey (Charls) (2015 and 2018). Pain was assessed according to the patient's self exposure, and depression was assessed using the Chinese version of the center for epidemiological research Depression Scale (CES-D). Univariate analysis and binary logistic regression model were used for analysis. Results: The 3-year cumulative incidence of depression in chronic pain patients was 52.4% and the annual incidence was 17.5% in the middle-aged and elderly Chinese population. Univariate analysis showed statistically significant differences in the incidence of depressive symptoms between the different genders, age, residence, education level, marriage, self perceived health status, nocturnal sleep time, number of social activities in the past month, smoking, alcohol consumption, impaired ADL and Medicare insurance coverage. This study, after controlling for demographic characteristics, health status and health behaviors, Different pain conditions remained statistically significant for depression in middle-aged and older adults. Compared with middle-aged and older adults without pain, both Unisomatic pain (OR = 1.388) and Multiple somatic pain (OR= 1.869) increased the risk of depression in the middle-aged and older populations. Conclusion: chronic pain is associated with the risk of depressive symptoms in middle-aged and elderly people, and the incidence of depression in middle-aged and elderly people in China is not optimistic.

scholarly journals The Association between Urbanization and Depression among the Middle-Aged and Elderly: A Longitudinal Study in China

2020 ◽  
Vol 57 ◽  
pp. 004695802096547
Author(s):  
Shan He ◽  
Duo Song ◽  
Wei-yan Jian
Keyword(s):  
Longitudinal Study ◽  
Common Mental Disorders ◽  
Depression Scale ◽  
Epidemiological Studies ◽  
Depression Symptoms ◽  
Protective Effects ◽  
Middle Aged ◽  
Urbanization Level ◽  
Impact Of Urbanization ◽  
The Impact

Urbanization has been and will continue to be the mainstream trend of global population movement, including China. Depression is the most common mental disorders and the leading factor of disabilities. However, the impacts of urbanization on the depression occurrence are still unclear. This paper analyzed the data from 3 waves of the China Health and Retirement Longitudinal Study (CHARLS) with sample size as 8510 adults representing the middle aged and elderly group in China. Depression was identified and measured by the 10-item Center for Epidemiological Studies Depression Scale (CESD-10). Urbanization level was measured by population density, GDP per capita and secondary/tertiary industry as percentage to GDP in the China City Statistical Yearbook. The fixed effect regression model was used to explore the association between the changes of urbanization and depression. As result, depression is closely related to the urbanization, protective effects are found for 3 indicators above: The depression prevalence decreases while urbanization level increases (from lowest urbanization level to the highest: P < 0.01). Among the 10 depression symptoms, “Bothered”, “Reduced energy leading to diminished activity” and “Hopelessness” are the most significantly improved with urbanization. The impact of urbanization on residents’ mental health is a long-term, multi-factor interaction. Therefore we need to fully consider all possible influencing factors, and longer follow-up study to verify.

Major depression in community-dwelling middle-aged and older adults: prevalence and 2- and 4-year follow-up symptoms

2004 ◽  
Vol 34 (4) ◽  
pp. 623-634 ◽  
Author(s):  
RAMIN MOJTABAI ◽  
MARK OLFSON
Keyword(s):  
Older Adults ◽  
Depressive Symptoms ◽  
Major Depression ◽  
Short Form ◽  
Large Population ◽  
Population Sample ◽  
Depression Scale ◽  
Community Dwelling ◽  
Middle Aged

Background. Although major depression is a common condition across the age range, there is some evidence from clinical studies that it may be more persistent and disabling in older adults. This study examined the demographic, socio-economic and clinical factors associated with major depression and with persistence of depressive symptoms at 2- and 4-year follow-ups in a large population sample of middle-aged and older adults.Method. In a sample of 9747 participants aged over 50 in the 1996 wave of the US Health and Retirement Study, the authors assessed the 12-month prevalence of major depression using the Composite International Diagnostic Interview – Short Form (CIDI-SF). Significant depressive symptoms at the time of 1996, 1998 and 2000 interviews were assessed using a short form of the Center for Epidemiological Studies Depression Scale (CES-D).Results. The 12-month prevalence of CIDI-SF major depression was 6·6%. With age, prevalence declined, but the likelihood of significant depressive symptoms at follow-ups increased. Both prevalence and persistence of significant depressive symptoms at follow-ups were associated with socio-economic disadvantage and physical illness. Persistence of depressive symptoms at follow-ups was also associated with symptoms of anhedonia, feelings of worthlessness, and thoughts of death at baseline.Conclusions. Sociodemographic, physical health and a specific profile of depressive symptoms are associated with a poorer course of major depression in the middle-aged and older adults. These indicators may identify a subgroup of patients in need of more careful follow-up and intensive treatment.

160 Underlying Factors Contributing to Sleep Health Among Middle-aged and Older Adults

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A65-A65
Author(s):  
Rebecca Lorenz ◽  
Varun Chandola ◽  
Samantha Auerbach ◽  
Heather Orom ◽  
Chin-Shang Li ◽  
...  
Keyword(s):  
Physical Activity ◽  
Machine Learning ◽  
Older Adults ◽  
Depressive Symptoms ◽  
Implementation Science ◽  
Poor Sleep ◽  
Middle Aged ◽  
Sleep Health ◽  
Sampling Procedures ◽  
The Impact

Abstract Introduction Although poor sleep is not inherent with aging, an estimated 50-70 million adults in the US have insufficient sleep. Sleep duration is increasingly recognized as incomplete and insufficient. Instead, sleep health (SH), a multidimensional concept describing sleep/wake patterns that promote well-being has been shown to better reflect how sleep impacts the individual. Therefore, focusing on the underlying factors contributing to sleep health may provide the opportunity to develop interventions to improve sleep health in middle-age and older adults. Methods Data from the 2014 wave of the Health and Retirement Study (HRS) were used. Sample size was restricted to those who completed an additional questionnaire containing sleep variables. A derivation of the SH composite was constructed using eight selected sleep variables from the HRS data based on the five dimensions of sleep: Satisfaction, Alertness, Timing, Efficiency, and Duration. Total score ranged from 0-100, with higher scores indicating better SH. Weighting variables were based on complex sampling procedures and provided by HRS. Machine learning-based framework was used to identify determinants for predicting SH using twenty-six variables representing individual health and socio-demographics. Penalized linear regression with elastic net penalty was used to study the impact of individual predictors on SH. Results Our sample included 5,163 adults with a mean age of 67.8 years (SD=9.9; range 50-98 years). The majority were female (59%), white (78%), and married (61%). SH score ranged from 27-61 (mean=50; SD=6.7). Loneliness (coefficient=-1.92), depressive symptoms (coefficient=-1.28), and physical activity (coefficient=1.31) were identified as the strongest predictors of SH. Self-reported health status (coefficient=-1.11), daily pain (coefficient=-0.65), being middle-aged (coefficient=-0.26), and discrimination (coefficient=-0.23) were also significant predictors in this model. Conclusion Our study identified key predictors of SH among middle-aged and older adults using a novel approach of Machine Learning. Improving SH is a concrete target for health promotion through clinical interventions tailored towards increasing physical activity and reducing loneliness and depressive symptoms among middle-aged adults. Support (if any) This study was supported by National Heart, Lung, and Blood Institute (NHLBI) UB Clinical Scholar Program in Implementation Science to Achieve Triple Aims-NIH K12 Faculty Scholar Program in Implementation Science

scholarly journals Socio-demographic characteristics and co-occurrence of depressive symptoms with chronic diseases among older adults in China: the China Longitudinal Ageing Social Survey

2019 ◽  
Author(s):  
Zhenjie Wang ◽  
Hanmo Yang ◽  
Zhanyuan Guo ◽  
Bei Liu ◽  
Shen Geng
Keyword(s):  
Older Adults ◽  
Depressive Symptoms ◽  
Chronic Diseases ◽  
Odds Ratio ◽  
Logistic Regression Model ◽  
Depression Scale ◽  
Epidemiological Studies ◽  
Education Attainment ◽  
Cross Sectional ◽  
Social Survey

Abstract Background: The aim of the current study is to assess the cross-sectional association of chronic non-communicable diseases (hypertension, diabetes mellitus, arthritis, and cerebrovascular) with depressive symptoms among older adults in China. Methods: Data was obtained from the China Longitudinal Ageing Social Survey (CLASS) conducted in 2014. A total of 7505 participants were included. Depressive symptoms status was assessed by 9-item Center for Epidemiological Studies Depression Scale (CES-D) Associations between depressive symptoms and chronic diseases, adjusting for so, demographics and chronic diseases risk factors were assessed by using logistic regression model. Results: We found negative associations between depressive symptoms and several socioeconomic factors, including education attainment and economic level. Widowed/divorced/ unmarried individuals are more likely to suffer from depressive symptoms. Hypertension (Odds ratio:1.29 [95%CI:1.16, 1.42]), diabetes (1.41 [95%CI:1.19,1.67]), arthritis (1.72 [1.52, 1.96]), and cerebrovascular disease (1.69 [1.41, 2.02]) were found to be associated with depressive symptoms. Conclusions: Most depressive symptoms cases were found to be significantly associated with chronic diseases. Our findings have provided evidence for understanding co-morbid depressive symptoms with chronic diseases, which could help clinicians to evaluate, diagnose and manage depression promptly.

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