Depression and Its Associated Factors Among Rural Diabetic Residents

Relationship between Depression with Physical Activity and Obesity in Older Diabetes Patients: Inflammation as a Mediator

Obesity and physical activity (PA) may affect inflammation and are also related to depression. This study aimed to explore the association between depression, obesity, and PA in older diabetes patients mediated by inflammation. We conducted a cross-sectional study with 197 elderly diabetes patients (≥65 y/o). Participants were interviewed to gather demographic and lifestyle data. Assessment of depression was based on the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) criteria. High-sensitivity C-reactive protein was used as a marker of inflammation. Participants with a body mass index (kg/m2) ≥ 27 were considered to be obese. Our data indicated that among all participants with (n = 57) and without (n = 140) depression, older diabetes patients with depression had a lower intake of energy and protein and a lower prevalence of smoking and alcohol consumption than those without depression (p < 0.05). We also found that inflammation may be a partial mediator in the relationship between obesity and depression, and a significant mediator between PA and depression. Additionally, a regression model of obesity and PA showed that PA was a significant predictor of inflammation. However, the association between obesity and inflammation was not significant. When obesity, PA, and inflammation were included in a regression model together, inflammation significantly predicted depression (OR = 4.18, p = 0.004). The association between obesity and depression was also significant (OR = 2.45, p = 0.038). However, the association between PA and depression was not significant, and the mediating effect of inflammation was significant according to the Sobel test (z = −2.01, p = 0.045). In conclusion, the beneficial effects of PA may lower levels of inflammation produced by obesity, thus reducing inflammatory effects that may be related to depression. Overall, inflammation may mediate the relationship between depression and PA in older diabetes patients.

Estructura factorial y datos normativos del Inventario de Depresión de Beck (BDI-II) en población general peruana

El objetivo principal de este estudio fue analizar la dimensionalidad del BDI-II, así como demostrar la invarianza según el sexo y construir datos normativos en población general peruana. Para ello, se contó con la participación de 1665 personas (51.83 % mujeres) procedentes de diferentes regiones del Perú (75.92 % de Cajamarca, 11.05 % de Lima, 6.42 % de La Libertad y 2.62 % de Lambayeque), con un rango de edad de 18 a 54 años (M = 24.99; DE = 8.73), a quienes se les administró el BDI-II. Mediante un análisis factorial confirmatorio se probaron catorce modelos basados en estudios previos. Los resultados indicaron que los modelos bifactor y de segundo orden tenían problemas de convergencia, mientras que los bidimensionales y el unifactorial presentaban adecuados índices de ajuste. Se seleccionó el modelo unidimensional debido a su coherencia teórica, pues los creadores del BDI-II señalan que la prueba se debe interpretar de manera global, sumando los 21 ítems, y desaconsejan la interpretación mediante el cálculo de puntajes separados por dimensiones. Incluso, los antecedentes indican que la varianza explicada del segundo factor es muy baja, por lo cual dicha práctica estaría injustificada. Además, los estudios previos han señalado correlaciones interfactoriales muy altas. Finalmente, se demostró invarianza según el sexo, y los datos normativos, calculados mediante percentiles, mostraron que las puntuaciones superiores a 11 serían clínicamente relevantes. En conclusión, el BDI-II muestra buenas propiedades psicométricas en una estructura unidimensional con 21 ítems, la cual es invariante según el sexo y tiene datos normativos adecuados para población general peruana.

A Systematic Review and Meta-Analysis of the Prevalence and Risk Factors of Depression in Type 2 Diabetes Patients in China

Background

The prevalence of type 2 diabetes mellitus (T2DM) is increasing in China. Depression in patients with T2DM interferes with blood glucose management, leads to poor treatment outcomes, and has a high risk of dementia and cardiovascular event. We conducted this systematic review and meta-analysis to evaluate the prevalence of depression in patients with T2DM in China and explore potential risk factors associated with depression in T2DM.

Methods

We conducted a literature search in MEDLINE/PubMed, EMBASE, the Cochrane Library, the Chinese Biomedical Literature Database (CBM), the China National Knowledge Infrastructure (CNKI), the Chinese Science and Technology Periodical Database (VIP), and the Wanfang Database from their inception to February 25, 2022 to include population-based, cross-sectional surveys that investigated the prevalence of depression in Chinese T2DM patients and studied possible risk factors. Gray literature and reference lists were also manually searched. We used the Agency for Healthcare Research and Quality methodology checklist to assess the risk of bias in the included studies. Two reviewers screened studies, extracted data, and evaluated the risk of bias independently. The primary outcome was the pooled prevalence of depression in Chinese T2DM patients, and the secondary outcomes included potential risk factors for depression in T2DM patients. R (version 3.6.1) and Stata (version 12.0) software were used for data synthesis.

Results

We included 48 reports that identified 108,678 subjects. Among the included reports, 4 were rated as low risk of bias, 40 moderate risks of bias, and 4 high risks of bias. The prevalence of depression in T2DM patients in China was 25.9% (95% CI 20.6%-31.6%). The prevalence of depression was higher in women (OR = 1.36, 95% CI 1.19-1.54), subjects ≥60 years (OR = 1.56, 95% CI 1.14-2.14), with a primary school or lower education (vs. middle or high school education (OR = 1.49, 95% CI 1.16 - 1.92); vs. college degree or higher education (OR = 1.84, 95% CI 1.16 - 2.92), with a duration of T2DM ≥ 10 years (OR = 1.68, 95% CI 1.11-2.54), with complications (OR = 1.90, 95% CI 1.53-2.36), insulin users (OR = 1.46, 95% CI 1.09-1.96) and individuals living alone (OR = 2.26, 95% CI 1.71-2.98). T2DM patients with current alcohol use had a lower prevalence of depression (OR = 0.70, 95% CI 0.58-0.86). Prevalence varied from 0.8 to 52.6% according to different instruments used to detect depression.

Conclusion

The prevalence of depression in T2DM patients is remarkable in China. Potential risk factors of depression in T2DM patients included women, age ≥ 60 years, low educational level, complications, duration of diabetes ≥ 10 years, insulin use, and living alone. High-quality epidemiological investigations on the prevalence of depression in Chinese T2DM patients are needed to better understand the status of depression in T2DM.

Systematic Review Registration

https://www.crd.york.ac.uk/PROSPERO/, identifier: CRD42020182979.

Biological, Psychological, and Social Determinants of Depression: A Review of Recent Literature

Depression is one of the leading causes of disability, and, if left unmanaged, it can increase the risk for suicide. The evidence base on the determinants of depression is fragmented, which makes the interpretation of the results across studies difficult. The objective of this study is to conduct a thorough synthesis of the literature assessing the biological, psychological, and social determinants of depression in order to piece together the puzzle of the key factors that are related to this condition. Titles and abstracts published between 2017 and 2020 were identified in PubMed, as well as Medline, Scopus, and PsycInfo. Key words relating to biological, social, and psychological determinants as well as depression were applied to the databases, and the screening and data charting of the documents took place. We included 470 documents in this literature review. The findings showed that there are a plethora of risk and protective factors (relating to biological, psychological, and social determinants) that are related to depression; these determinants are interlinked and influence depression outcomes through a web of causation. In this paper, we describe and present the vast, fragmented, and complex literature related to this topic. This review may be used to guide practice, public health efforts, policy, and research related to mental health and, specifically, depression.

Effects of a Trans-Theoretical Model-Based Health Education Program on the Management of Cognitive Dysfunction in Older Adults With Mild Cognitive Impairment: Study Rationale and Protocol Design for a Randomized Controlled Trial

Introduction: Recent studies have confirmed that the management of cognitive dysfunction produces considerable positive effects in individuals with mild cognitive impairment (MCI), however, compliance with participation in various cognitive dysfunction management strategies remains scant in older adults with MCI. Health education programs can improve the level of knowledge of the disease effectively, though it remains unclear as to whether health education programs are sufficient to promote behavior changes of older adults with MCI in the community. Objective: The study aims to provide insight into the effect of a trans-theoretical Model (TTM)-based health education program on increasing knowledge about mild cognitive impairment (MCI), compliance in cognitive dysfunction management, and other cognition-related health outcomes (general cognitive function, sleep quality, depression symptoms, apathy symptoms) for older adults with MCI. Methods: This study is a single-blinded, randomized, prospective clinical trial. We will recruit 132 participants with MCI who will be randomly assigned to a TTM-based health education group and a standard health education group in a ratio of 1:1. The intervention group will receive a TTM-based health education program (1 session/week, 4-560 min/session for 8 weeks), while the control group will receive standard health education. Assessors blinded to participant allocation will conduct baseline, post-intervention, and 3-month follow-up assessments. Statistical analyses will consist of the Wilcoxon test, the Chi-square test, the T-test, and 2 (group) × 3 (time) ANOVA with a 5% cut-off for significance. Discussion: Supposing the TTM-based health education program will provide validated community-based cognitive dysfunction management strategies for older adults with MCI, this would be a feasible approach to improve the compliance of participation in cognitive dysfunction management and the cognition-related health outcomes. Clinical Trial Registration: ChiCTR1900028351. Registered on December 19, 2019. http://www.chictr.org.cn/edit.aspx?pid=47223&htm=4.

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.

Effect of Study Design and Survey Instrument to Identify the Association Between Depressive Symptoms and Physical Activity in Type 2 Diabetes, 2000-2018: A Systematic Review

Introduction

Previous studies have used a variety of survey measurement options for evaluating the association between physical activity (PA) and depressive symptoms, raising questions about the types of instruments and their effect on the association. This study aimed to identify measures of PA and depressive symptoms and findings of their association given diverse instruments and study characteristics in type 2 diabetes (T2DM).

Methods

Online databases, Medline, Embase, CINAHL, and PsycINFO were searched on July 20, 2018, and January 8, 2019. Our systematic review included observational studies from 2000 to 2018 that investigated the association between PA and depressive symptoms in T2DM.

Results

Of 2294 retrieved articles, 28 studies were retained in a focused examination and comparison of the instruments used. There were a range of standard measures, 10 for depressive symptoms and 7 for PA, respectively. Patient Health Questionnaire (PHQ) for depressive symptoms and study-specific methods for PA were the most popular. Overall, 71.9% found a significant association between PA and depressive symptoms. Among studies classified as high quality or reliability, the figure was 81.8%.

Conclusion

A majority of the sample found an association between depressive symptoms and PA, which is fairly consistent across study characteristics. The findings provide the evidence for the health benefits of PA on reducing depressive symptoms in persons with T2DM, suggesting active engagement in PA for effective diabetes management. However, guidelines for objective measurements and well-designed prospective studies are needed to strengthen the evidence base and rigor for the association and its directionality.

Risk and protective factors of co-morbid depression in patients with type 2 diabetes mellitus: a meta analysis

The aim from this paper is to identify the main influencing factors of co-morbid depression among T2DM (Type 2 Diabetes Mellitus) patients and to provide reliable evidence for relative researches. A systematic review and meta-analysis of risk factors for co-morbid depression in T2DM was performed on all retrieved studies through an observational research of network database. Data were analyzed by Review Manager 5.3 from the extracted results, the heterogeneity index of the studies was determined using Chi-squared I² tests and on the basis of heterogeneity, a fixed or random effect model was used to estimates the pooled effect of each influencing factor. Fourteen observational studies containing total of 82,239,298 cases that have been identified. Diabetic complications (OR = 2.91; 95%CI, 1.76-4.82, p < 0.0001), insulin use (OR = 1.71; 95%CI, 1.18-2.48, p = 0.005), education status (OR = 1.91; 95%CI, 1.30-2.81, p = 0.001) were confirmed as risk factors, while regular exercising (OR = 0.51; 95%CI, 0.27-0.96, p = 0.04), gender (OR = 0.56; 95%CI, 0.47-0.65, p < 0.0001), marital status (OR = 0.53; 95%CI, 0.34-0.83, p = 0.005), current social status (OR = 0.64; 95%CI, 0.47-0.88, p = 0.006) were confirmed as protective factors of co-morbid depression in the patients with T2DM. Subgroup analysis claimed age (≥60 years) was a risk factor and smoking was protective factor for co-morbid depression in the patients with T2DM. Being female, have diabetic complications, insulin use, education level less than secondary are risk factors. However, doing regular exercise, being married and on work are protective factors of co-morbid depression in patients with T2DM. As to the other influencing factors should be further studied.

The prevalence of comorbid depression in patients with type 2 diabetes: an updated systematic review and meta-analysis on huge number of observational studies

AIMS

Depression is a common co-morbidity in patients with type 2 diabetes mellitus (T2DM). Untreated depression in these patients adversely affects self-care activities and other diabetes complications. The aim of this study is to estimate the prevalence of depression among patients with T2DM by conducting a meta-analysis of observational studies.

METHODS

MEDLINE, Web of Science, Science Direct, and Google Scholar databases were searched for all observational studies that assessed depression in T2DM. Relevant articles were searched using the combination of Medical Subject Heading (MeSH) terms of "depression", "depressive disorder", and "diabetes mellitus" published between January 2007 and July 2018. Random effects model was used to estimate the weighted prevalence rates and 95% CI using "metaprop program in STATA 11".

RESULTS

In total, the 248 included studies (with 273 reported prevalence) identified 83,020,812 participants; of them, 23,245,827 (28%; 95% CI 27, 29) suffered from different severity levels of depressive disorders. The prevalence of depression was separately reported in 137,372 males and 134,332 females. Of them, 31,396 males (23%, 95% CI: 20, 26) and 45,673 females (34%, 95% CI: 31, 38) were depressed. Compared with global estimate, depression prevalence was lower in Europe (24%) and Africa (27%), but higher in Australia (29%) and Asia (32%). The prevalence in America was equal to the estimated prevalence in the world (28%). Depression was more common in subjects younger than 65 compared with elderlies (31% vs. 21%).

CONCLUSION

Our findings demonstrated that almost one in four adults with T2DM experienced depression. Given the high prevalence of depressive disorders in diabetic patients, screening these patients for co-morbid depression and its relevant risk factors is highly recommended.

Economic and social impact of diabetes mellitus in a low-income country: A case-control study in Sudan

BACKGROUND

Diabetes mellitus accounts for 11% of total health expenditure worldwide, and most people with diabetes live in low- and middle-income countries. The present study examined the economic and social effects attributed to diabetes in Sudan by calculating out-of-pocket medical expenses and the health and social effects of the disease for people with diabetes (n = 375) and their families compared with a non-diabetic control group (n = 375), matched for age, sex, and residence area.

METHODS

Data were obtained in 2013 in four states within the Sudan, via structured interviews, using instruments from the International Diabetes Federation. Descriptive statistics were used to analyze differences between case and control participants.

RESULTS

The median total annual medical expenditure was fourfold higher for people with than without diabetes (US$579 vs US$148, respectively). Annual mean expenditure was 85% higher for those with diabetes (US$1004 vs US$544). People with diabetes were also significantly more likely to suffer from serious comorbidities, such as cardiovascular disorders and foot ulcers, compared with control participants. Moreover, those with diabetes reported a higher proportion of personal adverse social effects, such as being prevented from doing paid work or participating in education, both for themselves and their families.

CONCLUSIONS

The high economic burden and adverse social effects on people with diabetes and their families in Sudan call for the development of evidence-based policy and program strategies for the prevention and management of diabetes, with an emphasis on low-resource communities.

Comorbidity of depression and diabetes: an application of biopsychosocial model

Background

Type 2 diabetes (T2D) is one of the most psychologically demanding chronic medical illness in adult. Comorbidity between diabetes and depression is quite common, but most studies were based on developed country sample. Limited data exists to document biopsychosocial predictors of depressive symptoms in Ethiopian patients. Therefore, the aim of the study was to describe the association of depressive symptoms and T2D and explore the potential underlying associated biopsychosocial risk factors.

Methods

Institution based cross-sectional study was conducted on 276 patient with T2D at diabetic clinic, Black Lion General Specialized Hospital in Ethiopia. Patients were selected using systematic random sampling technique. Depressive symptoms score, which constructed from a validated nine-item Patient Health Questionnaire (PHQ-9), was an outcome variable. Finally, significant associated factors were identified using multiple linear regression analysis with backward elimination procedure. Statistical Package for Social Science (SPSS) version 22.0 (IBM SPSS Corp.) was used to perform all analysis.

Results

Total of 264 patient data was analyzed with 95.7% response rate. Patients mean (SD) current age and age at diagnosis was 55.9 (10.9) and 43.9 (10.9) years, respectively. Patients waist circumference (mean ± SD) was 98.9 ± 11.1 cm. The average PHQ-9 score was 4.9 (SD 4.1) and fasting blood glucose was 166.4 (SD 73.2). Marital status (divorced), occupation (housewife), diabetic complication (nephropathy), negative life event in the last six months, and poor social support significantly associated with increased mean PHQ-9 score after adjustment for covariates. Whereas not fearing diabetic-related complication and death significantly lower mean PHQ-9 score.

Conclusion

Biopsychosocial variables including marital status, negative life event in the last 6 months, occupation, diabetic complication, and poor social support significantly increase average depressive symptoms score. Evidence-based intervention focusing on these identified biopsychosocial factors are necessary to prevent the development of depressive symptoms.

Electronic supplementary material

The online version of this article (doi:10.1186/s13033-016-0106-2) contains supplementary material, which is available to authorized users.