Self-rated health: a predictor for the three year incidence of major depression in individuals with Type II diabetes

Association of depression and self-reported health status by birthplace and citizenship status: Results from the 2010-2018 National Health Interview Survey

BACKGROUND

Self-reported health (SRH) is an important indicator of mental health outcomes. More information, however, is needed on whether this association varies by birthplace (defined as US-born or non-US-born) and citizenship status (i.e., non-US-born citizen, non-US citizen, and US-born citizen).

METHODS

We examined the associations between SRH and depression among non-US-born US citizens, non-US citizens, and US-born citizens aged 18 years and older using weighted cross-sectional data from the 2010-2018 National Health Interview Survey (n = 139,884). Logistic regression models were used to assess the association between depression and SRH by citizenship status, adjusting for covariates.

RESULTS

US-born citizens reported the highest prevalence of depression (40.3 %), and non-US-born citizens reported the highest prevalence of poor/fair SRH (14.5 %). Individuals with fair/poor SRH had a significantly increased likelihood of depression relative to those with good/very good/excellent for non-US-born US citizens (Adjusted Odds Ratio [AOR] = 2.42, 95 % Confidence Interval [95 % CI] = 2.04-2.88), non-US citizens (AOR = 2.80, 95 % CI = 2.31-3.40), and US-born citizens (AOR = 2.31, CI = 2.18-2.45).

LIMITATIONS

The study is cross-sectional, reducing the strength of determining causal relationships. Also, there is a possible response bias due to the self-reported nature of the data.

CONCLUSIONS

Our study indicates that fair/poor SRH is significantly associated with an increased likelihood of depression regardless of an individual citizenship status. Additionally, immigrants with fair/poor SRH had higher increased odds of depression. Therefore, mental healthcare interventions tailored for immigrants can reduce mental health problems and disparities among immigrants.

Burnout syndrome among preschool teachers in Serbia

Pedagogical work, especially with preschool children, is one of the most stressful professions, and the incidence of stress-related illnesses among preschool teachers is higher than in the general population. The aim of this cross-sectional study, conducted between October 2018 and April 2019, was to examine the prevalence of the burnout syndrome in a representative sample of 482 preschool teachers in Serbia and the factors associated with it. For this purpose, the participants completed a questionnaire composed of six sections: the socio-demographic and socio-economic characteristics, health and lifestyle characteristics, workplace and employment characteristics; Copenhagen Burnout Inventory (CBI); Beck Depression Inventory (BDI), and the Zung Self-Rating Anxiety Scale (SAS). The frequency of the total burnout was 27.1 %. The frequency of burnout on the CBI was 25.4 % for personal burnout, 27.0 % for work-related burnout, and 23.4 % for client-related burnout. Multivariate logistic regression analysis with total burnout as an outcome variable showed that being single (OR: 0.18; 95 % CI: 0.05-0.58), having poor (OR: 6.05; 95 % CI: 1.05-34.91), or average (OR: 3.60; 95 % CI: 1.57-8.25) self-rated health, not having didactic/play tools (OR: 2.71; 95 % CI: 1.21-6.04), having a higher score on the BDI (OR: 1.19; 95 % CI: 1.09-1.29) or SAS (OR: 1.10; 95 % CI: 1.03-1.18) was significantly associated with the total burnout among our participants. Our study shows the worryingly high prevalence of the burnout syndrome among preschool teachers in Serbia and points to its association with mental health issues, depression, and anxiety.

Depression, anxiety, and health-related quality of life in normal weight, overweight and obese individuals with diabetes: a representative study in Germany

OBJECTIVE

Diabetes in the course of lifetime is related to a higher risk for mental disorders. The present study addresses the comparison of individuals with diabetes and non-diabetic individuals in depressive symptoms, generalized anxiety symptoms, and health-related quality of life. Furthermore, mediator effect of BMI and health-related quality of life (HRQOL) on the association between diabetes, depression, and generalized anxiety was analyzed.

METHODS

In this cross-sectional study, the three questionnaires PHQ-9, GAD-7, EQ-5D-5L were measured in a representative sample of the German population (N = 2386). In addition, the presence of diabetes and BMI were assessed via self-report.

RESULTS

There were higher values in depressive and anxiety symptoms as well as lower score in HRQOL in individuals with diabetes compared to non-diabetic individuals. Obese individuals with diabetes showed the highest rates in depressive symptoms and generalized anxiety as well as lowest score in HRQOL. With regard to the mediator analyses, association between diabetes, depressive symptoms, and anxiety symptoms is partially mediated by the BMI and fully mediated by the HRQOL.

CONCLUSIONS

In conclusion, individuals with diabetes have an increased risk in the development of depressive and anxiety symptoms as well as lower health-related quality of life. Future research and strategies in the public health policies among individuals with diabetes should take into account that the association between diabetes, depression, and anxiety is mediated by BMI and HRQOL.

Analysis of depression incidence and influence factors among middle-aged and elderly diabetic patients in China: based on CHARLS data

BACKGROUND

To investigate the incidence of depression in middle-aged and elderly patients with diabetes in China and the influencing factors to provide a theoretical basis to improve the mental health of middle-aged and elderly patients with diabetes and formulate prevention, control, and intervention strategies.

METHODS

The sample of this study was obtained from the China Health and Aging Tracking Survey (CHARLS) 2018 survey data, and middle-aged and older patients with diabetes(responding "Yes" to the questionnaire: "Have you ever been told by a doctor that you have diabetes or elevated blood glucose [including abnormal glucose tolerance and elevated fasting glucose]?") aged ≥ 45 years were selected as study subjects (n = 2,613 ). Depressive symptoms of the study subjects were determined using the simplified version of the Depression Scale for Epidemiological Surveys scores(a score ≥ 10 was defined as depression), influence factors were analyzed using binary logistic regression, and proportion of depressive symptoms was standardized using the sex ratio of the seventh census.

RESULTS

Among the 2,613 middle-aged and elderly patients with diabetes, 1782 (68.2%) had depressive symptoms and 831 (31.8%) had no depressive symptoms. There were 481 (27.0%) patients aged 45-59 years, 978 (54.9%) aged 60-74 years, and 323 (18.1%) aged ≥ 75 years. The depression rate among middle-aged and elderly Chinese patients with diabetes after standardization correction was 67.5%. Binary logistic regression results showed that age, education level, life satisfaction, marital satisfaction, self-rated health grade, somatic pain, visual impairment, physical disability, and the presence of comorbid chronic diseases were factors that influenced the onset of depression in middle-aged and elderly Chinese patients with diabetes (P < 0.05).

CONCLUSION

According to a survey analysis of the CHARLS 2018 data, depression is influenced by a combination of factors among middle-aged and elderly patients with diabetes in China. Therefore, for this population, targeted prevention and control should be carried out for key populations, such as middle-aged and elderly people, poor physical health, and low life satisfaction and marital satisfaction, from various dimensions (e.g., demographic and sociological factors, physical health status, and life satisfaction and marital satisfaction).

Poor self-rated health is associated with faster cognitive decline and greater small vessel disease in older adults with type 2 diabetes

OBJECTIVE

Self-rated health (SRH) is a predictor for poor health outcomes and cognition. Older adults with type 2 diabetes mellitus (T2D) have multi-morbidity and greater cognitive impairment. In the present study we investigated the association of SRH with cognitive decline and brain pathology in older adults with T2D.

METHODS

Participants (n = 1122) were from the Israel Diabetes and Cognitive Decline study, and SRH was categorised as low (n = 202), moderate (n = 400) or high (n = 520). Cognition was measured by four cognitive domains: episodic memory, executive functions, language, and attention/working memory. Global cognition was the average of the cognitive domains. Statistical models adjusted for sociodemographic, cardiovascular, and clinical variables. In a randomly selected subsample (n = 230) that had magnetic resonance imaging, we examined relationships between baseline SRH and brain characteristics (white matter hyperintensities [WMHs], hippocampal, and total grey matter [GM] volumes).

RESULTS

Low SRH was associated with a decline in executive functions, which accelerated over time when compared to high SRH (est = -0.0036; p = <0.001). Compared to high SRH, low SRH was associated with a faster decline in global cognition (est = -0.0024; p = 0.009). Low SRH at baseline was associated with higher volumes of WMHs (est = 9.8420; p < 0.0008). SRH was not associated with other cognitive domains, or with hippocampal and total GM.

CONCLUSIONS

Low SRH is associated with cognitive decline in T2D older adults and may serve as a risk assessment. WMHs may represent an underlying mechanism.

The moderation of satisfaction with working conditions in the association between workload and mental health among healthcare workers collecting test samples in the post-COVID-19 era

Background

This study aimed to examine the associations between workload and satisfaction with working conditions and mental health (i.e., anxiety disorder, depression, and somatization) of healthcare workers collecting test samples during the local outbreaks of COVID-19, and explore satisfaction with working conditions as a moderator of these relationships.

Methods

A total of 1,349 participants were obtained via an online survey in Zhengzhou, Henan Province, China. Multivariate regression was used to assess the associations between workload and satisfaction with working conditions and anxiety disorder, depression, and somatization. The simple slope analysis and Johnson-Neyman technique were used to assess the effect value and change trend of the moderator.

Results

The prevalence of anxiety disorder, depression, and somatization were 8.6, 6.9, and 19.2% of healthcare workers collecting test samples, respectively. High levels of workload were associated with an increased risk of an anxiety disorder (OR = 1.81, 95%CI = 1.17-2.78), depression (OR = 1.92, 95%CI = 1.19-3.10), and somatization (OR = 1.90, 95%CI = 1.40-2.57), while high satisfaction of working conditions was associated with a reduction in the risk of these outcomes, and ORs (95%CI) were 0.35 (0.20-0.64), 0.27 (0.13-0.56), and 0.32 (0.21-0.48), respectively. The findings also indicated that a weaker association between workload and anxiety disorder, as well as depression and somatization, has been reported in those with a high level of satisfaction with working conditions.

Conclusion

Workload significantly increased the risk of healthcare workers suffering from psychological problems, while satisfaction with working conditions alleviated these negative effects, and effective resource support was crucial for healthcare workers.

The relationship between pre-surgery self-rated health and changes in functional and mental health in older adults: insights from a prospective observational study

BACKGROUND

Elective surgeries are among the most common health stressors in later life and put a significant risk at functional and mental health, making them an important target of research into healthy aging and physical resilience. Large-scale longitudinal research mostly conducted in non-clinical samples provided support of the predictive value of self-rated health (SRH) for both functional and mental health. Thus, SRH may have the potential to predict favorable adaptation processes after significant health stressors, that is, physical resilience. So far, a study examining the interplay between SRH, functional and mental health and their relative importance for health changes in the context of health stressors was missing. The present study aimed at addressing this gap.

METHODS

We used prospective data of 1,580 inpatients (794 complete cases) aged 70 years or older of the PAWEL study, collected between October 2017 and May 2019 in Germany. Our analyses were based on SRH, functional health (Barthel Index) and self-reported mental health problems (PHQ-4) before and 12 months after major elective surgery. To examine changes and interrelationships in these health indicators, bivariate latent change score (BLCS) models were applied.

RESULTS

Our analyses provided evidence for improvements of SRH, functional and mental health from pre-to-post surgery. BLCS models based on complete cases and the total sample pointed to a complex interplay of SRH, functional health and mental health with bidirectional coupling effects. Better pre-surgery SRH was associated with improvements in functional and mental health, and better pre-surgery functional health and mental health were associated with improvements in SRH from pre-to-post surgery. Effects of pre-surgery SRH on changes in functional health were smaller than those of functional health on changes in SRH.

CONCLUSIONS

Meaningful changes of SRH, functional and mental health and their interplay could be depicted for the first time in a clinical setting. Our findings provide preliminary support for SRH as a physical resilience factor being associated with improvements in other health indicators after health stressors. Longitudinal studies with more timepoints are needed to fully understand the predictive value of SRH for multidimensional health.

TRIAL REGISTRATION

PAWEL study, German Clinical Trials Register, number DRKS00013311. Registered 10 November 2017 - Retrospectively registered, https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00013311 .

Path Analysis of Influencing Factors of Depression in Middle-Aged and Elderly Patients with Diabetes

PURPOSE

This study aimed to assess the prevalence of depression in middle-aged and elderly patients with diabetes in China, determine the risk factors of depression in these patients, and explore the internal relationship between influencing factors and depression by constructing a pathway model.

METHODS

Data were collected from the 2018 China Health and Retirement Longitudinal Study (CHRLS). We included 1743 patients with diabetes who were assessed using the CES-D10, which is used to measure depressive symptoms in Chinese older adults. Based on the theory of psychological stress, data were analyzed using SPSS software version 22.0 and MPLUS 8.0. A correlation analysis was used to explore the relationship between the variables and depression scores. A path model was constructed to explore the interrelationships between variables and verify the relationships between variables and depression in patients with diabetes.

RESULTS

The prevalence of depression among patients with diabetes was 42.5%. The path analysis results showed that income, diabetes duration, sleep duration, pain distress, self-rated health, and glycemic control directly affected depression, and self-rated health had the largest effect value. With self-rated health and glycemic control as mediator variables, income, diabetes duration, sleep duration, pain distress, glycemic control, and insulin use had indirect effects on depression by influencing self-rated health. Age, frequency of blood glucose monitoring, and exercise glycemic control awareness indirectly affected depression by affecting glycemic control, self-rated health status, and depression.

CONCLUSION

We found that the path analysis model could construct the interaction between the influencing factors and explore the potential interrelationship between the influencing factors and diabetes-related depression. Patients with diabetes must adhere to regular medication, maintain a healthy lifestyle, and have effective glycemic control. Diabetes depression can be effectively prevented by making psychological knowledge publicly available, providing health education, and establishing corresponding for diabetes.

Effects of Subjective Health Perception on Health Behavior and Cardiovascular Disease Risk Factors in Patients with Prediabetes and Diabetes

The purpose of this study is to confirm the health behavior performance rate and cardiovascular disease-related indicators according to the subjective health perception of prediabetic and diabetic patients using the 2016–2019 National Health and Nutrition Examination Survey (NHANES) data. This study classified hemoglobin A1c ≥ 6.5% as diabetes and 5.7–6.4% prediabetes among 2485 adults over 40 years of age among the data from the National Health and Nutrition Examination Survey. In addition, subjective health perception was divided into ‘good’ and ‘bad’ and then cross-classified into four groups (Good/PDM, Bad/PDM, Good/DM, and Bad/DM) to analyze the differences between the four groups. All statistical analyses were performed using SAS 9.4 (SAS Institute Inc., Cary, NC, USA), and complex sample analysis was performed using weights according to the KNHANES raw data usage guidelines from the Korea Centers for Disease Control and Prevention. The rate of subjective health awareness was higher in men than in women in both prediabetic- and diabetic-stage subjects and adults in the prediabetic stage were higher than in the elderly. The better the subjective health status, the higher the ratio of normal weight, proper sleep time, exercise, and eating out among health-related behaviors. As a result of analyzing blood pressure and blood indices related to the cardiovascular disease risk (Framingham Risk Score), in all indicators except blood pressure, the better the subjective health status and the lower the risk of cardiovascular disease. As a result, for disease prevention and continuous management through healthy behaviors in prediabetic and diabetic patients, it is necessary to improve the positive subjective perception of health.

Prevalence and risk factors of depression symptoms among Chinese seafarers during the COVID-19 pandemic: a cross-sectional study

BACKGROUND

To curb the spread of COVID-19, most countries have adopted measures such as banning shore leave at ports and placed restrictions on crew change. Seafarers may bear an excess pressure during the COVID-19 pandemic. This study aimed to investigate the prevalence and risk factors associated with depression symptoms among Chinese seafarers during the COVID-19 pandemic.

DESIGN

Cross-sectional study.

METHODS

This field survey-based study was conducted at Rongcheng Port, Shandong Province, China, from 10 June 2020 to 25 July 2020. Sociodemographic and occupational characteristics and health-related behaviours were collected through a face-to-face questionnaire. The Self-Rating Depression Scale was used to evaluate depression status during the preceding week. Logistic regression models were used to explore factors related to depression.

RESULTS

441 male Chinese seafarers were enrolled. Overall, the proportions of seafarers with low, moderate and severe depression symptoms were 23.35%, 9.30% and 9.07%, respectively. Compared with those with good self-rated health (SRH), seafarers with poor SRH had higher odds of depression (OR, 2.24, 95% CI 1.22 to 4.11). Less leisure time or physical exercise was associated with more severe self-reported depression symptoms (1-3 per week vs ≥4 per week: OR, 1.72, 95% CI 0.71 to 4.14; none vs ≥4 per week: OR, 3.93, 95% CI 1.67 to 9.26). Poor sleep quality was associated with higher likelihood of reporting severe depression (fair vs good: OR, 2.78, 95% CI 1.54 to 5.01; poor vs good: OR, 4.30, 95% CI 1.65 to 11.24). The more frequent seafarers worked overtime a week, the higher the likelihood of reporting severe depression symptoms (1-2 per week vs none: OR, 1.82, 95% CI 1.04 to 3.18; ≥3 per week vs none: OR, 2.49, 95% CI 1.05 to 5.92). Also, high perceived work stress was linked to higher odds of being depressed (intermediate vs low: OR, 2.06, 95% CI 0.78 to 5.46; high vs low: OR, 3.83, 95% CI 1.35 to 10.90).

CONCLUSIONS

There is a high burden of depression associated with COVID-19 among seafarers. Special interventions that protect the mental health of seafarers are more critical than ever in the context of the pandemic.

How Does Perceived Health Status Affect Depression in Older Adults? Roles of Attitude toward Aging and Social Support

Objectives: This study aims to test the mediating effect of attitude toward aging and the moderating effect of social support in the association between perceived health status and depression in older adults. Methods: The study hypotheses were tested by using quantitative data collected from 6485 Chinese older adults. SPSS macro PROCESS was employed to analyze the data. Results: The results show that the relationship between perceived health status and depression in older adults is mediated by their attitude toward aging. In addition, both direct and indirect impacts of perceived health status on depression are significantly buffered by social support. Conclusions: This study suggests a potential mediating role of attitude toward aging and a moderating role of social support in the association between physical health and mental health among older adults. Clinical Implications: The findings of the study suggest that clinicians might need to consider attitudes toward aging along with social support as they work with older adults with comorbid physical illnesses and depression. The findings also reveal that social support is not only about the external resources that older adults need to cope with stressful life events, but also serves as an inner sustenance to make older adults less sensitive to the deleterious effects of poor health status and negative attitude toward aging.

Self-rated health and venous thromboembolism among middle-aged women: a population-based cohort study

Venous thromboembolism (VTE) is one of the most common types of cardiovascular diseases (CVDs) and is associated with increased mortality-risk. Poor-self rated health (SHR) has been associated with elevated inflammatory markers and CVDs. However, little is known about as a predictor of incident VTE. To examine the association between self-rated health, lifestyle and incident VTE among middle-aged women. 6917 women aged 50–64 years, followed for 20 years in the Women’s Health In the Lund Area (WHILA) study. After exclusion of those who medicated with anticoagulants, were living in nursing homes or suffered from cancer, stroke, VTE or CHD before baseline, a cohort of 5626 women remained. Cox regression was used to analyse the relationship between self-rated health and time to VTE, censored for any of the previous mentioned diseases during follow-up. Data were collected by questionnaires, physical examinations and Swedish registers. In total, 220 women were affected by VTE corresponding to an incidence rate of 3.9 per 1000 person-years. Adjustment for self-rated health did not significantly predict incident VTE, and neither did any of the lifestyle-related habits (e.g. physical activity and dietary habits including alcohol consumption), besides smoking. This study supports previous results with varicose veins and waist circumference as strong predictors of VTE. Poor self-rated health does not seem to be a valid predictor of VTE. Among lifestyle-related parameters, smoking was significantly associated with risk of VTE. We could also confirm the effect of the other already known risk factors.

Depression, anxiety and health status across different BMI classes: A representative study in Germany

BACKGROUND

Changes in body mass index (BMI) over the course of one's lifetime are related to the development of mental disorders. In the current study we compared symptoms of depression, generalized anxiety as well as general health status in the four BMI-classes: underweight, normal weight, overweight and obesity. Furthermore, mediator role of general health status on the relationship between BMI and depression and generalized anxiety was analyzed.

METHODS

A representative sample (random-route sampling) of the German population (N = 2350) was investigated in a cross-sectional survey by measuring the three questionnaires PHQ-9, GAD-7 and EQ-5D-5L.

RESULTS

The results showed significant differences between the four BMI-classes in all three questionnaires. Individuals with obesity demonstrated higher values in depression, anxiety and general health compared to the three other BMI-classes. However, there was no U-shaped association between BMI and depression, anxiety and health-related quality of life. Regarding to the mediation analysis, general health status fully mediated the association between BMI, depressive symptoms as well as generalized anxiety symptoms.

LIMITATIONS

The assessment of the three factors depression, anxiety and general health status were measured by questionnaires, but no clinical diagnoses can be provided.

CONCLUSIONS

Evidence supports that individuals with obesity have an increased risk for depression and anxiety as well as lower general health. Further research on potential intervention and strategies in public health policies is needed to be able to target the developing of mental disorders in individuals with obesity. Taking their general health status into account is also of great importance.

Health literacy and depression in women with type 2 diabetes mellitus

OBJECTIVES

The prevalence of diabetes mellitus has recently increased in Taiwan, and depression is common among these patients. Moreover, a lack of health literacy may lead to depression. In this study, we explored the correlation between health literacy and depression in diabetic women.

METHODS

In this cross-sectional study, 152 women with type 2 diabetes mellitus were recruited from the outpatient clinic of a regional teaching hospital in Taiwan. The data were collected through medical records and a self-reported structured questionnaire, which included items on basic attributes, self-rated health status, the Center for Epidemiologic Studies Depression Scale (CES-D), and Chinese Health Literacy Scale for Diabetes (CHLSD). The results were analyzed using descriptive statistical analyses, bivariate correlation tests, and linear regression analyses.

RESULTS

One hundred thirty-five valid questionnaires were obtained. Approximately 20% of the participants had a higher tendency toward depression as per their CES-D score, and the CHLSD results showed that 13.33% had poor health literacy. There was a negative correlation between health literacy and depressive tendencies after adjusting for self-rated health status, economic satisfaction status, employment status, and education level using multivariate linear regression analyses. For each 1-point rise in the CHLSD score, the CES-D score decreased by 0.17 points (z=-2.05, p=0.042).

CONCLUSIONS

A negative correlation was identified between health literacy and depression. Self-rated health status, economic satisfaction, employment status, and higher education level are factors that also affect depressive tendency among diabetic women.

Cognitive-Behavioral (CBT) and Psychodynamic (PDT) Group Psychotherapy and Their Impact on Depressive Symptoms and Hostile Attributions

This article examined how intensive group cognitive-behavioral therapy (GCBT) and group psychodynamic psychotherapy (GPDT) modified depressive symptoms and processing of social information (hostility attributions in a variety of ambiguous situations). The sample (N = 37) comprised individuals who were attending psychotherapy due to psychological distress (GCBT or GPDT). The study examined how group psychotherapy influences depression symptoms and social cognition. There was a decrease in depressive symptoms after three months of intensive CBGT, but PDGT did not significantly improve symptoms of depression. Moreover, in both psychotherapies, the authors noted a significant decrease in hostile attributions, mainly in situations involving people with whom one does not have a close relationship.

Prevalence of comorbid major depressive disorder in Type 2 diabetes: a meta-analysis of comparative and epidemiological studies

AIMS

To examine the average point prevalence of major depressive disorder in people with Type 2 diabetes and its associated factors in a comprehensive meta-analysis.

METHODS

Two researchers independently conducted a systematic literature search of PubMed, EMBASE, PsycINFO and Cochrane databases. Studies reporting the prevalence of major depressive disorder in people with Type 2 diabetes were identified and analysed using a random-effects model.

RESULTS

A total of 26 studies meeting the inclusion criteria were included in the study. The point prevalence of major depressive disorder was 14.5% (95% CI 7.9-25.3; I²=99.65). People with Type 2 diabetes were more likely to have major depressive disorder compared with the general population (odds ratio 1.73, 95% CI 1.38-2.16). Subgroup and meta-regression analyses showed that study site, study type, diagnostic criteria and age significantly moderated the prevalence of major depressive disorder.

CONCLUSIONS

In this meta-analysis, the average point prevalence of major depressive disorder in people with Type 2 diabetes was high. Routine screening and more effective interventions should be implemented for this population.

Short report: depressive mood moderates the association between family communication and self-rated health in married couples

Self-rated health, a valid measure of general health, is influenced by family dynamics and depression. In this study, using data from the Family Cohort Study in Primary Care, we investigated whether depressive mood moderated the association between family communication and self-rated health in married couples. Among the 520 couples in the cohort, we cross-sectionally analyzed the responses of 420 couples (840 participants) who provided answers to the Center for Epidemiologic Studies Depression Scale, the Family Communication Scale of the Family Adaptation and Cohesion Evaluation Scale-IV, and a self-rated health question. Hierarchical regression analyses were performed to evaluate the interactions between depressive mood and family communication on self-rated health. High levels of family communication were associated with better self-rated health (r = -.16, p < .01), and that depressive mood moderated the association between family communication and self-rated health (β = .10, p = .008). Specifically, the association between family communication and self-rated health was significant only when levels of depressive mood were low (β = -.175, p = < .001), and the association was lost when levels of depressive mood were high (β = -.031, p = .446). High levels of depressive mood weakened the positive association between family communication and self-rated health. Our findings highlight the significant influence of depressive symptoms on family dynamics and health among patients in primary care.

Self-Rated Health and Inflammation: A Test of Depression and Sleep Quality as Mediators

OBJECTIVE

Despite its simplicity, single-item measures of self-rated health have been associated with mortality independent of objective health conditions. However, little is known about the mechanisms potentially responsible for such associations. This study tested the association between self-rated heath and inflammatory markers as biological pathways, and whether sleep quality and/or depression statistically mediated such links.

METHOD

Eighty-six heterosexual married couples completed a standard measure of self-rated health, the Center of Epidemiological Studies-Depression Scale, and the Pittsburgh Sleep Quality Index. Participants also had blood drawn for determination of plasma levels of interleukin 6 and high-sensitivity C-reactive protein. The Monte Carlo method was used to construct confidence intervals for mediation analyses.

RESULTS

Results indicated that poor self-rated health was associated with higher CRP levels (B = .31, SE = .14, p = .028). Importantly, the Monte Carlo mediational analyses showed that these results were statistically mediated by sleep quality (aXb = 0.10, 95% confidence interval = 0.003 to 0.217) but not depressive symptoms (aXb = 0.03, 95% confidence interval = -0.03 to 0.10).

CONCLUSIONS

These results highlight the biological and behavioral mechanisms potentially linking self-rated health to longer-term health outcomes. Such work can inform basic theory in the area as well as intervention approaches that target such pathways.

The Interrelations of Physical and Mental Health: Self-Rated Health, Depression, and PTSD Among Female IPV Survivors

Researchers have found that intimate partner violence (IPV) is associated with low self-rated health (SRH), which is correlated with increased medication usage, and has tremendous social consequences. IPV and low SRH are associated with posttraumatic stress disorder (PTSD) and depression, and the current study examined the interrelations between these variables among 505 Israeli women in shelters. To assess mediation, three regressions were designed. Traumatic events, Russian ethnicity, and chronic illness all contributed to low SRH. The direct effect of depression on SRH was insignificant when PTSD entered the regression. Our findings suggest that PTSD is a more fundamental factor than depression when predicting SRH among IPV survivors.

The prevalence of disability among people with cancer, cardiovascular disease, chronic respiratory disease and/or diabetes: a systematic review

BACKGROUND

Cardiovascular disease (CVD), cancer, diabetes and chronic respiratory disease are noncommunicable diseases (NCDs) that cause extensive social and economic burden worldwide, particularly in low-income and middle-income countries. There is growing recognition of the importance of the disabilities that individuals experience as a consequence of these NCDs.

OBJECTIVES

This systematic review examined the prevalence of disabilities associated with cancer, CVD, chronic respiratory disease and diabetes.

METHODS

A comprehensive literature search was conducted in PubMed, CINAHL, Embase, Web of Science, PsycINFO, CIRRIE, WHO database, LILACS and AIM. Studies were included if their samples were representative of people with at least one of these four conditions and if prevalence estimates of disability were provided. As random sampling was not feasible in the majority of cases, studies were included where they offered evidence that their sample was representative of the general population being investigated.

RESULTS

A total of 105 articles were included in the review. Most studies were conducted in high-income countries. The prevalence of difficulties with activities of daily living (i.e. eating, bathing, dressing) was reported to be 10.4-34.5% amongst cancer survivors, 21.1-64.1% in those with CVD, 7.4-49.8% in those with chronic respiratory disease and 12.2-54.5% for those with diabetes. The prevalence of a range of other physical, cognitive and psychological impairments (systemic or structural) was additionally described for each disease.

CONCLUSION

Substantial proportions of people with cancer, CVD, chronic respiratory disease or diabetes experience some form of disability - although there was great variance in prevalence and definitions. The findings of this review support the evidence base of global impact associated with NCD, indicate frequency measures for specific disabilities and inabilities associated with each NCD and provide direction for future systematic reviews.

WHAT IS KNOWN ABOUT THE TOPIC

WHAT THIS ARTICLE ADDS.

Two-year effectiveness of a stepped-care depression prevention intervention and predictors of incident depression in primary care patients with diabetes type 2 and/or coronary heart disease and subthreshold depression: data from the Step-Dep cluster randomised controlled trial

INTRODUCTION

Major depressive disorders (MDD), diabetes mellitus type 2 (DM2) and coronary heart disease (CHD) are leading contributors to the global burden of disease and often co-occur.

OBJECTIVES

To evaluate the 2-year effectiveness of a stepped-care intervention to prevent MDD compared with usual care and to develop a prediction model for incident depression in patients with DM2 and/or CHD with subthreshold depression.

METHODS

Data of 236 Dutch primary care patients with DM2/CHD with subthreshold depression (Patient Health Questionnaire 9 (PHQ-9) score ≥6, no current MDD according to the Mini International Neuropsychiatric Interview (Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition criteria)) who participated in the Step-Dep trial were used. A PHQ-9 score of ≥10 at minimally one measurement during follow-up (at 3, 6, 9, 12 and 24 months) was used to determine the cumulative incidence of MDD. Potential demographic and psychological predictors were measured at baseline via web-based self-reported questionnaires and evaluated using a multivariable logistic regression model. Model performance was assessed with the Hosmer-Lemeshow test, Nagelkerke's R² explained variance and area under the receiver operating characteristic curve (AUC). Bootstrapping techniques were used to internally validate our model.

RESULTS

192 patients (81%) were available at 2-year follow-up. The cumulative incidence of MDD was 97/192 (51%). There was no statistically significant overall treatment effect over 24 months of the intervention (OR 1.37; 95% CI 0.52 to 3.55). Baseline levels of anxiety, depression, the presence of >3 chronic diseases and stressful life events predicted the incidence of MDD (AUC 0.80, IQR 0.79-0.80; Nagelkerke's R² 0.34, IQR 0.33-0.36).

CONCLUSION

A model with 4 factors predicted depression incidence during 2-year follow-up in patients with DM2/CHD accurately, based on the AUC. The Step-Dep intervention did not influence the incidence of MDD. Future depression prevention programmes should target patients with these 4 predictors present, and aim to reduce both anxiety and depressive symptoms.

TRIAL REGISTRATION NUMBER

NTR3715.

Typologies of loneliness, living alone and social isolation, and their associations with physical and mental health

The relationship between living alone, loneliness and social isolation, and how they are associated with health remain contentious. We sought to explore typologies based on shared experiences of loneliness, social isolation and living alone using Latent Class Analysis and determine how these groups may differ in terms of their physical and mental health. We used Wave 7 of the English Longitudinal Study of Ageing (N = 7,032; mean age = 67.3) and responses to the University of California, Los Angeles (UCLA) loneliness scale, household composition, participation in social/societal activities plus frequency of contact with friends, family and relatives for the Latent Class Analysis. The optimal number of groups was identified using model-fit criteria. The socio-demographic characteristics of groups and health outcomes were explored using descriptive statistics and logistic regression. We identified a six-cluster typology: Group 1, no loneliness or isolation; Group 2, moderate loneliness; Group 3, living alone; Group 4, moderate isolation; Group 5, moderate loneliness, living alone; and Group 6, high loneliness, moderate isolation (with high likelihood of living alone). Groups experiencing loneliness and/or isolation were more likely to report poorer physical and mental health even after adjusting for socio-demographic confounders, this was particularly notable for Group 6. Our results indicate that different typologies of living alone, loneliness and isolation can be identified using data-driven techniques, and can be differentiated by the number and severity of issues they experience.

Influence of Health Status on the Association Between Diabetes and Depression Among Adults in Europe: Findings From the SHARE International Survey

OBJECTIVE

The association between diabetes and depression, a common health comorbidity in people with diabetes, has been recognized but not well understood. The purpose of this study was to explore the association between diabetes and depression in a large international sample of adults, adjusting for demographics, socioeconomic status, behavioral risks, and current health status.

METHODS

The association between diabetes and depression was assessed in a sample of 57,004 Europeans ≥50 years of age from 15 European countries using data from the fifth wave of SHARE (the Survey of Health, Ageing, and Retirement in Europe). Multiple logistic regression models of the association between diabetes and depression were conducted, adjusting for potential confounders.

RESULTS

Analyses showed that, despite diabetes being associated with depression in crude and partially adjusted models, further adjustment for self-perceived health made the association between diabetes and depression no longer statistically significant (odds ratio 1.0, 95% CI 0.9-1.0).

CONCLUSION

Adjustment for a variety of demographic, socioeconomic, behavioral risk, and health status variables reduced the estimated association between diabetes and depression until it was no longer significant. Further research should explore the specific symptoms of distress characterized in people with diabetes.

Binge eating disorder and depressive symptoms among females of child-bearing age: the Korea Nurses' Health Study

BACKGROUND

Most studies regarding the relationship between binge eating disorder (BED) and depression have targeted obese populations. However, nurses, particularly female nurses, are one of the vocations that face these issues due to various reasons including high stress and shift work. This study investigated the prevalence of BED and the correlation between BED and severity of self-reported depressive symptoms among female nurses in South Korea.

METHODS

Participants were 7,267 female nurses, of which 502 had symptoms of BED. Using the propensity score matching (PSM) technique, 502 nurses with BED and 502 without BED were included in the analyses. Data were analyzed using descriptive statistics, Spearman's correlation, and multivariable ordinal logistic regression analysis.

RESULTS

The proportion of binge eating disorder was 6.90% among the nurses, and 81.3% of nurses displayed some levels of depressive symptoms. Multivariable ordinal logistic regression analysis revealed that age (40 years old and older), alcohol consumption (frequent drinkers), self-rated health, sleep problems, and stress were associated with self-reported depression symptoms. Overall, after adjusting for confounders, nurses with BED had 1.80 times the risk (95% CI = [1.41-2.30]; p-value < 0.001) of experiencing a greater severity of self-reported depression symptoms.

CONCLUSIONS

Korean female nurse showed a higher prevalence of both binge eating disorder and depressive symptoms, and the association between the two factors was proven in the study. Therefore, hospital management and health policy makers should be alarmed and agreed on both examining nurses on such problems and providing organized and systematic assistance.

Depressive Symptoms: Mediator of Event-Free Survival in Patients With Heart Failure

Depressive symptoms and poor health perceptions are predictors of higher hospitalization and mortality rates (heart failure [HF]). However, the association between depressive symptoms and health perceptions as they affect event-free survival outcomes in patients with HF has not been studied. The purpose of this secondary analysis was to determine whether depressive symptoms mediate the relationship between health perceptions and event-free survival in patients with HF. A total of 458 HF patients (61.6 ± 12 years, 55% New York Heart Association Class III/IV) responded to one-item health perception question and completed the Patient Health Questionnaire-9. Event-free survival data were collected for up to 4 years. Multiple regression and Cox proportional hazards regression analysis showed that depressive symptoms mediated the relationship between health perceptions and event-free survival. Decreasing depressive symptoms is essential to improve event-free survival in patients with HF.

Prevalence of depression in type 2 diabetes patients in German primary care practices

AIMS

To analyse depression in German type 2 diabetes patients with or without diabetes complications.

METHODS

Longitudinal data from nationwide general practices in Germany (n=1,202) were analysed. People initially diagnosed with type 2 diabetes (2004-2013) were identified and 90,412 patients were included (age: 65.5 years, SD: 11.7). The main outcome measure was the first diagnosis of depression (ICD 10: F32, F33) within ten years after index date in patients with and without diabetes complications. Cox proportional hazards models were used to adjust for confounders.

RESULTS

At baseline, most patients had diabetes complications and 6.4% of them had private insurance. Ten years after type 2 diabetes diagnosis, 30.3% of patients showed symptoms of depression. The prevalence of depression was higher in women than in men (33.7% versus 26.8%), in patients with high HbA1c levels (31.3% when Hb1Ac ≥ 9 versus 27.5% when HbA1c < 7) and in patients with diabetes complications (37.7% when there were more than two complications versus 29.1% when there were no complications). Women and patients without private health insurance were at a higher risk of developing depression. Retinopathy, neuropathy, nephropathy, coronary heart disease, stroke and HbA1c levels higher than 7 were also positively associated with depression.

CONCLUSIONS

Diabetes complications and high HbA1c levels had a substantial impact on depression in primary care patients with type 2 diabetes.

Evaluating lifestyle and health-related characteristics of older adults with co-occurring depressive symptoms and cardiometabolic abnormalities

OBJECTIVE

Comorbid depression and cardiometabolic abnormalities might represent an important subgroup of depression. The aim of the present study was to evaluate lifestyle and health-related characteristics of individuals with both depressive symptoms and cardiometabolic abnormalities.

METHODS

Data were from the English Longitudinal Study of Ageing. The sample was comprised of 5365 adults aged 50-80 years. High depressive symptoms were based on the eight-item Center for Epidemiologic Studies - Depression scale. Cardiometabolic abnormalities were defined as having ≥3 cardiometabolic risk factors (hypertension, impaired glycemic control, systemic inflammation, low high-density lipoprotein cholesterol, hypertriglyceridemia, and central obesity). Four groups were created based on Center for Epidemiologic Studies - Depression scores and cardiometabolic abnormalities: those with (i) comorbid depressive symptoms and cardiometabolic abnormalities (DCM); (ii) depressive symptoms only (DnoCM); (iii) cardiometabolic abnormalities only; and (iv) neither depressive symptoms nor cardiometabolic abnormalities. Lifestyle and health-related characteristics of the four groups were compared using chi-square tests. A modified Poisson regression analysis was performed to compare the DCM and the DnoCM groups with respect to lifestyle and health-related characteristics.

RESULTS

Those in the DCM group were significantly less physically active (p = 0.003), had poorer self-rated health (p < 0.001), had lower income (p = 0.001), and were more likely to be retired (p < 0.001) than those in the DnoCM group. The pattern of results remained after controlling for other lifestyle and health-related factors.

CONCLUSION

These results provide support for a cardiometabolic subgroup of depression that is associated with physical inactivity, poorer self-rated health, lower income, and retirement. Copyright © 2015 John Wiley & Sons, Ltd.

Are Single-Item Global Ratings Useful for Assessing Health Status?

The research performance of the single-item self-rating In general, would you say your health is: excellent, very good, good, fair, or poor? was evaluated relative to the SF-36 General Health Scale that contains this item, using data for a sample of psychiatric outpatients who had co-occurring chronic physical conditions (N = 177). The scale was more robust than the single-item in cross-sectional validity tests and for predicting 2-year outcomes, but the single-item had stronger discriminant validity as a measure of physical health, especially in post-baseline analyses. Single-item and scale were both sensitive enough to detect change in perceived health over 2 years and a conditional experimental effect on health self-perceptions in a randomized trial. These findings demonstrate that a global single-item can be as valid, reliable, and sensitive as a multi-item scale for longitudinal research purposes, even if the scale performs better in cross-sectional surveys or as a screening measure.

Are Single-Item Global Ratings Useful for Assessing Health Status?

The research performance of the single-item self-rating In general, would you say your health is: excellent, very good, good, fair, or poor? was evaluated relative to the SF-36 General Health Scale that contains this item, using data for a sample of psychiatric outpatients who had co-occurring chronic physical conditions (N = 177). The scale was more robust than the single-item in cross-sectional validity tests and for predicting 2-year outcomes, but the single-item had stronger discriminant validity as a measure of physical health, especially in post-baseline analyses. Single-item and scale were both sensitive enough to detect change in perceived health over 2 years and a conditional experimental effect on health self-perceptions in a randomized trial. These findings demonstrate that a global single-item can be as valid, reliable, and sensitive as a multi-item scale for longitudinal research purposes, even if the scale performs better in cross-sectional surveys or as a screening measure.

Constructs of depression and distress in diabetes: time for an appraisal

Depression presents in roughly 20% of people with diabetes worldwide, and adversely affects quality of life and treatment outcomes. The causes of depression in diabetes are poorly understood, but research suggests a bi-directional association, at least for type 2 diabetes. Inconsistent findings regarding prevalence and depression treatment outcomes in patients with diabetes seem partly attributable to inconsistencies in the definition and measurement of depression and in distinguishing it from diabetes-distress, a psychological concept related to depression. We review evidence suggesting that diabetes-distress and depression are correlated and overlapping constructs, but are not interchangeable. Importantly, diabetes-distress seems to mediate the association between depression and glycaemic control. We propose a model to explain the direct and indirect effects of depression and diabetes-distress on glycaemic control. Additionally, using emerging insights from data-driven approaches, we suggest three distinct symptom profiles to define depression in patients with diabetes that could help explain differential associations between depression and metabolic abnormalities, and to tailor interventions for depression. Future research should focus on further refining depression profiles in patients with diabetes, taking into account the natural history of diabetes and depression, clinical characteristics, and diabetes-distress. The assessment of diabetes-distress and depression in research and clinical practice will be essential to identify high-risk patients with different mental health needs.

South Asian populations in Canada: migration and mental health

BACKGROUND

South Asian populations are the largest visible minority group in Canada; however, there is very little information on the mental health of these populations. The objective of this study was to determine the prevalence rates and characteristics of mental health outcomes for South Asian first-generation immigrant and second-generation Canadian-born populations.

METHODS

The Canadian Community Health Survey (CCHS) 2011 was used to calculate the estimated prevalence rates of the following mental health outcomes: mood disorders, anxiety disorders, fair-poor self-perceived mental health status, and extremely stressful life stress. The characteristics associated with these four mental health outcomes were determined through multivariate logistic regression analysis of merged CCHS 2007-2011 data.

RESULTS

South Asian Canadian-born (3.5%, 95% CI 3.4-3.6%) and South Asian immigrant populations (3.5%, 95% CI 3.5-3.5%) did not vary significantly in estimated prevalence rates of mood disorders. However, South Asian immigrants experienced higher estimated prevalence rates of diagnosed anxiety disorders (3.4%, 95% CI 3.4-3.5 vs. 1.1%, 95% CI 1.1-1.1%) and self-reported extremely stressful life stress (2.6%, 95% CI 2.6-2.7% vs. 2.4%, 95% CI 2.3-2.4%) compared to their Canadian-born counterparts. Lastly, South Asian Canadian-born populations had a higher estimated prevalence rate of poor-fair self-perceived mental health status (4.4%, 95% CI 4.3-4.5%) compared to their immigrant counterparts (3.4%, 95% CI 3.3-3.4%). Different profiles of mental health determinants emerged for South Asian Canadian-born and immigrant populations. Female gender, having no children under the age of 12 in the household, food insecurity, poor-fair self-rated health status, being a current smoker, immigrating to Canada before adulthood, and taking the CCHS survey in either English or French was associated with greater risk of negative mental health outcomes for South Asian immigrant populations, while not being currently employed, having a regular medical doctor, and inactive physical activity level were associated with greater risk for South Asian Canadian-born populations.

CONCLUSIONS

Mental health outreach programs need to be cognizant of the differences in prevalence rates and characteristics of mental health outcomes for South Asian immigrant and Canadian-born populations to better tailor mental health services to be responsive to the unique mental health needs of South Asian populations in Canada.

A Chinese Chan-based mind-body intervention improves psychological well-being and physical health of community-dwelling elderly: a pilot study

Background

The aim of this study was to explore the potential benefits of the Dejian mind–body intervention (DMBI) for psychological and physical health in older Chinese adults.

Methods

After confirmation of eligibility, the subjects were invited to receive DMBI once a week for 12 weeks. The intervention involved components of learning self-awareness and self-control, practicing mind–body exercises, and adopting a special vegetarian diet. Intervention-related changes were measured using the Perceived Stress Scale, Geriatric Depression Scale, Pittsburgh Sleep Quality Index, Chinese Constipation Questionnaire, and self-report ratings of health. Indicators of metabolic syndrome and walking speed were also measured.

Results

Of the 44 subjects recruited, 42 (54.8% men) completed the study, giving an adherence rate of 95%. There was a significant reduction in perceived stress (P<0.05). A significant improvement was also found in systolic blood pressure among those who had abnormally high blood pressure at baseline (P<0.05). Physical fitness as reflected by walking speed was also significantly increased after the intervention (P<0.05). Sleep disturbances were reduced (P<0.01). Self-rated health was significantly enhanced, with the percentage rating very good health increasing from 14.3% at baseline to 42.8% after the intervention (P<0.001). No intervention effect was found for waist circumference, lipids and fasting blood glucose levels, Pittsburgh Sleep Quality Index global score, and constipation measures.

Conclusion

The DMBI was feasible and acceptable, and subjects showed some improvements in psychological and physical health. A larger controlled trial is needed to confirm these promising preliminary results.

Association between self-reported general and mental health and adverse outcomes: a retrospective cohort study of 19,625 Scottish adults

OBJECTIVE

Self-reported general health and mental health are independent predictors of all-cause mortality. This study examines whether they are also independent predictors of incident cancer, coronary heart disease and psychiatric hospitalisation.

METHODS

We conducted a retrospective, population cohort study by linking the 19 625 Scottish adults who participated in the Scottish Health Surveys 1995-2003, to hospital admissions, cancer registration and death certificate records. We conducted Cox proportional hazard models adjusting for potential confounders including age, sex, socioeconomic status, alcohol, smoking status, body mass index, hypertension and diabetes.

RESULTS

Poor general health was reported by 1215 (6.2%) participants and was associated with cancer registrations (adjusted Hazard Ratio [HR] 1.30, 95% CI 1.10, 1.55), coronary heart disease events (adjusted HR 2.30, 95% CI 1.86, 2.84) and psychiatric hospitalisations (adjusted HR 2.42, 95% CI 1.65, 3.56). There was evidence of dose relationships and the associations remained significant after adjustment for mental health. 3172 (16%) participants had poor mental health (GHQ ≥ 4). After adjustment for general health, the associations between poor mental health and coronary heart disease events (adjusted HR 1.36, 95% CI 1.13, 1.63) and all-cause death (adjusted HR 1.38, 95% CI 1.23, 1.55) became non-significant, but mental health remained associated with psychiatric hospitalisations (fully adjusted HR 2.02, 95% CI 1.48, 2.75).

CONCLUSION

Self-reported general health is a significant predictor of a range of clinical outcomes independent of mental health. The association between mental health and non-psychiatric outcomes is mediated by general health but it is an independent predictor of psychiatric outcome. Individuals with poor general health or mental health warrant close attention.

Technology-facilitated depression care management among predominantly Latino diabetes patients within a public safety net care system: comparative effectiveness trial design

Health disparities in minority populations are well recognized. Hispanics and Latinos constitute the largest ethnic minority group in the United States; a significant proportion receives their care via a safety net. The prevalence of diabetes mellitus and comorbid depression is high among this group, but the uptake of evidence-based collaborative depression care management has been suboptimal. The study design and baseline characteristics of the enrolled sample in the Diabetes-Depression Care-management Adoption Trial (DCAT) establishes a quasi-experimental comparative effectiveness research clinical trial aimed at accelerating the adoption of collaborative depression care in safety net clinics. The study was conducted in collaboration with the Los Angeles County Department of Health Services at eight county-operated clinics. DCAT has enrolled 1406 low-income, predominantly Hispanic/Latino patients with diabetes to test a translational model of depression care management. This three-group study compares usual care with a collaborative care team support model and a technology-facilitated depression care model that provides automated telephonic depression screening and monitoring tailored to patient conditions and preferences. Call results are integrated into a diabetes disease management registry that delivers provider notifications, generates tasks, and issues critical alerts. All subjects receive comprehensive assessments at baseline, 6, 12, and 18 months by independent English-Spanish bilingual interviewers. Study outcomes include depression outcomes, treatment adherence, satisfaction, acceptance of assessment and monitoring technology, social and economic stress reduction, diabetes self-care management, health care utilization, and care management model cost and cost-effectiveness comparisons. DCAT's goal is to optimize depression screening, treatment, follow-up, outcomes, and cost savings to reduce health disparities.

The association between sleep duration and self-rated health in the Korean general population

STUDY OBJECTIVES

Sleep duration is recognized as one of the most common issues in modern society. Self-rated health is a commonly used subjective health measure based on a single question asking individuals to rate their general health on a four- or five-point scale. However, few studies have examined the relationship between sleep duration and self-rated health. Here, we examined the association between sleep duration and poor self-rated health, using a large representative sample of the general Korean adult population.

DESIGN

We conducted a cross-sectional study of 15,252 participants in the Korea National Health and Nutrition Examination Survey IV (2007-2009) who were aged 19 years and older. Sleep duration was categorized as ≤ 5, 6, 7, 8, or ≥ 9 hours. The main outcome of interest was poor self-rated health (n = 3,705, 19.7%). Multiple logistic regression analysis was performed to examine the association between sleep duration and self-rated health.

RESULTS

We found both short (≤ 5 h) and long (≥ 9 h) sleep duration to be associated with poor self-rated health independent of sociodemographic, health risk, and health status variables. Compared with 7-h sleep duration, the multivariate odds of poor self-rated health were 1.358 times higher (95% CI 1.167-1.580) with short sleep duration and 1.322 times higher (95% CI 1.091-1.601) with long sleep duration. This association persisted in subgroup analyses of gender, body mass index, and age by gender.

CONCLUSIONS

In a large representative sample of the Korean general adult population, compared with sleep duration of 7 hours, we found a positive association between short and long sleep duration and poor self-rated health in Korean adults. Furthermore, the association between sleep duration and poor self-rated health was consistently present in subgroups divided by gender, age, and BMI.