The Association between Smoking and Depression in a Canadian Community-Based Sample with Type 2 Diabetes

Smoking Cessation in People With and Without Diabetes After Acute Coronary Syndrome

INTRODUCTION

People with diabetes smoke at similar rates as those without diabetes, with cardiovascular consequences. Smoking cessation rates were compared between people with and without diabetes 1 year after an acute coronary syndrome (ACS).

AIMS AND METHODS

People with ACS who smoked and were part of an observational prospective multicenter study in Switzerland were included from 2007 to 2017 and followed for 12 months. Seven-day point prevalence abstinence was assessed at 12 months follow-up. Association between diabetes and smoking cessation was assessed using multivariable-adjusted logistical regression model.

RESULTS

2457 people with ACS who smoked were included, the mean age of 57 years old, 81.9% were men and 13.3% had diabetes. At 1 year, smoking cessation was 35.1% for people with diabetes and 42.6% for people without diabetes (P-value .01). After adjustment for age, sex, and educational level, people with diabetes who smoked were less likely to quit smoking compared with people without diabetes who smoked (odds ratio [OR] 0.76, 95% confidence interval [CI] 0.59-0.98, P-value = .037). The multivariable-adjusted model, with further adjustments for personal history of previous cardiovascular disease and cardiac rehabilitation attendance, attenuated this association (OR 0.85, 95% CI 0.65-1.12, P-value = .255). Among people with diabetes, cardiac rehabilitation attendance was a positive predictor of smoking cessation, and personal history of cardiovascular disease was a negative predictor of smoking cessation.

CONCLUSIONS

People with diabetes who smoke are less likely to quit smoking after an ACS and need tailored secondary prevention programs. In this population, cardiac rehabilitation is associated with increased smoking cessation.

IMPLICATIONS

This study provides new information on smoking cessation following ACSs comparing people with and without diabetes. After an ACS, people with diabetes who smoked were less likely to quit smoking than people without diabetes. Our findings highlight the importance of tailoring secondary prevention to people with diabetes.

Longitudinal associations between number of cigarettes per day and depressive symptoms in adult smokers with type 2 diabetes: A path analysis approach

OBJECTIVE

Three theoretical models describe the direction of the association between depressive symptoms and cigarettes per day (CPD) in smokers: 1) CPD predicts subsequent depressive symptoms, 2) depressive symptoms predict CPD, and 3) there is a bidirectional relation between CPD and depressive symptoms. The objective of the study was to compare the fit of these three theoretical models to data from a community-based sample of adults with type 2 diabetes (T2D) who smoke cigarettes.

METHODS

Data were from adults with T2D who participated in the Evaluation of Diabetes Treatment Study. At baseline, 296 participants reported being a current smoker and were included in the analyses. Measures of CPD and depressive symptoms were collected annually over four years. Path models corresponding to the three directionality hypotheses were estimated. Model fit was compared, and the best fitting model was selected on the basis of Akaike's Information Criterion (AIC).

RESULTS

The path model depicting a unidirectional association from CPD to subsequent depressive symptoms had the lowest AIC value (7110.94) and was thus identified as the best fitting model. Although some paths within the model did not meet conventional levels of statistical significance, in general, more CPD predicted higher levels of depressive symptoms at subsequent follow-up points.

CONCLUSION

Amongst smokers with T2D, a primary smoking model, in which smoking precedes depressive symptoms, may best explain the longitudinal association between CPD and depressive symptoms. These findings further justify the need for early smoking cessation in diabetes care.

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.

Type 1 diabetes care: Improvement by standardization in a diabetes rehabilitation clinic. An observational report

BACKGROUND

T1D treatment requires informed self-responsible patients, who, however, frequently miss their therapeutic goals, providing considerable potential for improvement.

METHODS

This observational report evaluates T1D patients [N = 109], aged ≥18 years (range 22-82), poorly controlled at home, at and 3 weeks after their admission to our diabetes rehabilitation clinic [DRC], where they were offered standardized, but unmonitored life-style modification.

RESULTS

At admission, patients displayed elevated HbA1c values (66 mmol/mol [57; 81]), a high prevalence of co-morbidities (88%), lipodystrophies due to monolocal insulin injections (42%), a low rate of influenza (16%) and pneumococcal (7%) immunization, and underuse of lipid-lowering drugs (-38%). Standardization of life-style improved glucose (p<0.0001) and lipid metabolism (LDL/HDL ratio p<0.01) permitting reduction of insulin dose and reduction of add-on glucose-lowering drugs (GLDs) other than metformin. Outcome was independent of the mode of insulin treatment strategy and more marked at initially high HbA1c, with DRC-costs/d less than 25% of those encountered at standard hospitals.

CONCLUSION

Type 1 diabetes care requires i) insulin treatment, food intake and life style to be handled in concert, ii) this need cannot be replaced by arbitrary addition of add-on GLDs, and iii) training to this end is 75% cheaper at a DRC than in standard hospitals.

Lifestyle and emotional well-being in men and women with type 2 diabetes (e-VitaDM-4; ZODIAC-48)

Background: Whether lifestyle is associated with well-being in patients with type 2 diabetes (T2D) is largely unknown. Uncovering and clarifying associations between these constructs may lead to new strategies for improving both.

Objectives: The aim was to investigate the relationship between lifestyle and well-being, focussing on gender differences.

Methods: This cross-sectional study included 1085 patients with T2D that participated in the e-Vita part of the Zwolle outpatient diabetes project integrating available care (ZODIAC) study. Patients were included from May 2012 until September 2014 from 52 general practices. Emotional well-being was assessed with the World Health Organization-5 well-being index (WHO-5). Lifestyle information on body mass index, smoking, physical activity and alcohol use was extracted from self-reported questionnaires. Multiple linear regression analyses were used.

Results: After adjustment for other lifestyle factors, physical activity, smoking and drinking 22–35 alcohol consumptions per week were associated with the WHO-5 score in men and physical activity and smoking were associated with the WHO-5 score in women. In the fully adjusted analyses for the total study population, physical activity and smoking were still associated with the WHO-5 score (b = 1.1, P < .001 and b =-3.1, P = .018, respectively). In the fully adjusted analyses stratified to gender only physical activity was associated with the WHO-5 score (in men: b =0.8, P = .006, in women: b = 1.4, P = .001).

Conclusion: This study shows a negative, non-clinically relevant association between smoking and emotional well-being in the total population with T2D and a positive, non-clinically relevant association between physical activity and emotional well-being in both men and women with T2D.

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.

Assessing the longitudinal associations and stability of smoking and depression syndrome over a 4-year period in a community sample with type 2 diabetes 24

BACKGROUND

The aim of the present study was to investigate the stability and longitudinal association between depression and smoking status within a community sample with type 2 diabetes (T2D) while controlling for sociodemographic and disease-related variables.

METHODS

Adults with T2D were recruited and agreed to be followed-up via random digit dialing for the Montreal Diabetes Health Study. At baseline, 1614 individuals were classified as never (n = 592), former (n = 690), light (≤10 cigarettes a day; n = 128) and moderate-heavy (11+ cigarettes a day; n = 204) smokers. Depression was assessed using the Patient Health Questionnaire-9 and individuals were classified as either "none" or having depression syndrome. Generalized estimating equations were used to test the association between depression syndrome and current smoking status while controlling for other demographic and health-related variables.

RESULTS

Prevalence rates of smoking and depression showed mild to substantial agreement over time. Depression syndrome was significantly associated with moderate-heavy smoking in the fully adjusted model using cross-sectional (all four waves; odds ratio [OR] 1.46; 95% confidence interval [CI] 1.08-1.99; P < 0.05) and longitudinal (controlling for depression at baseline; OR 1.54; 95% CI 1.02-2.31; P < 0.05) data.

CONCLUSIONS

Smoking and depression prevalence rates appear to be stable over time in our community sample with T2D. Moderate-heavy smoking is strongly associated with elevated depression, both in cross-sectional and longitudinal models. Persistent moderate-heavy smokers may be at increased risk of both physical and mental health complications. This burden is even greater for those with T2D.

Assessment of health level and socio-economic characteristics of people working in the shipbuilding industry: a control group study

Introduction:

The health level of the population and the way people perceive it has been associated with their physical and mental health, as well as with their social and occupational characteristics.

Purpose:

The comparative assessment of mental and health level in shipbuilding industry workers and general population and its relationship to social and economic parameters.

Methods:

A group of one hundred men working in the shipbuilding industry aged 51.8±8.2 years old and a control group of one hundred men of the general population aged 51.1±6.4 were studied. All participants completed the General Health Questionnaire – 28 and Fagerstrom test and a form with demographic, occupational and economic status characteristics. The statistical software SPSS 17.0 was used for data analysis.

Results:

Twenty–six percent of the general population and 47% of men working in the shipbuilding industry assessed their health as moderate/poor. Higher median values of anxiety and depressive symptomatology were observed in individuals characterizing their health as moderate/poor (p<0.001), their work as physically too demanding and in individuals with high dependency on smoking (p<0.05). With regard to the parameter of physical complaints, people working in the shipbuilding industry, non-active employees and those with comorbidities were found more burdened in relation to the general population (p<0.05). Depressive disorders were more common in those stating that their economic situation had been significantly deteriorated and in individuals with chronic diseases, which also showed reduced social functioning (p<0.05).

Conclusions:

Health level and its individual dimensions are both associated with health self-assessment and occupational and economic status. The coexistence of chronic diseases and smoking dependence affects emotion and social functioning of individuals.

Poor air quality in homes of Medicare recipients with diabetes

Poor air quality has been associated with chronic illness such as diabetes. This can be of particular importance for older adults with diabetes and other chronic conditions who spend most of their time indoors. The purpose of this study was to assess home air quality and residents' awareness and concerns about air quality in rural underserved areas of upstate New York. Implications for home care clinicians are discussed.

Prevalence and determinants of anxiety and depression symptoms in patients with type 2 diabetes in Lithuania

Background

Depression is associated with a variety of diabetes complications, including diabetic retinopathy, nephropathy, neuropathy, and macrovascular complications. The prevalence of the symptoms of anxiety (32%) and depression (22.4%) in patients with diabetes is considerably higher than in general population samples (10%). The aim of this study was to evaluate the prevalence and determinants of anxiety and depression symptoms in patients with type 2 diabetes (T2DM).

Material/Methods

This survey was conducted during 2007–2010. In total, 1500 patients were invited to participate in the study. The Hospital Anxiety and Depression Scale (HADS) was used to measure depression and anxiety for the evaluation of the depressive state and anxiety. Statistical analysis was carried out using SPSS 17.0.

Results

More than 70% of all respondents who participated in the study had diabetes mellitus complications (72.2%). The prevalence of mild to severe depression score was 28.5% (95% CI 25.7–31.4). The prevalence of anxiety was 42.4% (95% CI 39.3–45.5). Anxiety was more frequent among females (46.8%) than among males (34.7%) (p<0.001). A significant negative trend was observed between prevalence of anxiety and depression, and age and education (p for trend <0.001).

Conclusions

A significant association between depression and diabetic complications was identified (p<0.05). Duration of diabetes was a risk factor significantly associated with higher scores of anxiety among the patients with T2DM.