Depression was associated with younger age, female sex, obesity, smoking, and physical inactivity, in 1027 patients with newly diagnosed type 2 diabetes: a Swedish multicentre cross-sectional study

Metformin treatment improves depressive symptoms associated with type 2 diabetes: A 24-week longitudinal study

OBJECTIVE

Metformin is a medication that is widely used for lowering blood sugar in patients with type 2 diabetes. Metformin was shown to have significant antidepressant effects; however, it is not clear whether metformin treatment improves outcomes in patients with type 2 diabetes who have concomitant depressive symptoms.

METHODS

A total of 475 patients with type 2 diabetes mellitus with depressive symptoms were included in this study and divided into metformin and nonmetformin groups according to whether they were taking metformin. The DASS-21 was used to assess patients' depression and anxiety scores before and after a 24-week intervention. In addition, general information about whether the patients had developed complications from diabetes and whether they had been diagnosed with other diseases was assessed.

RESULTS

(1) After 24 weeks, anxiety and depression scores were significantly lower in the metformin group than in the nonmetformin group. (2) The prevalence of depressive symptoms was significantly greater in female type 2 diabetic patients than in male patients (OR = 2.039, 95 % CI = 1.160-3.568). (3) People with type 2 diabetes who develop complications from diabetes (OR = 1.794, 95 % CI = 1.015-3.171) and those diagnosed with other conditions are more likely to experience depressive symptoms.

CONCLUSION

Metformin has an ameliorative effect on type 2 diabetes. However, women, those with diabetes complications, and those with type 2 diabetes who are also diagnosed with other conditions are more likely to experience depressive symptoms.

Correlations among nicotine dependence, health-related quality of life, and depression in current smokers: a cross-sectional study with a mediation model

Background

Although the negative impact of smoking and health-related quality of life (HRQoL) on depression has been confirmed in various studies, There has been little exploration of how HRQoL mediates the relationship between smoking and depression. The purpose of the current study was to examine the relationship between smoking and depression in the Chinese current smokers with nicotine dependence and the mediating role of HRQoL.

Methods

A cross-sectional study named "Psychology and Behavior Investigation of Chinese Residents" was conducted from July 10 to September 15, 2021 in China. Nicotine dependence, HRQoL and depression were measured by Fagerstrom Test for Nicotine Dependence (FTND), the European Five Dimensional Five Level Health scale (EQ-5D-5L) and the 9-item Patient Health Questionnaire (PHQ-9) respectively. Information on age, gender, place of residence, household registration, education level, marital status, employment status, average family monthly income, drinking frequency, living status, BMI, multiple chronic conditions were also collected. Pearson's correlation test and logistic regression analysis were conducted to explore the association between nicotine dependence, HRQoL and depression and a mediation analysis was applied to explore the mediating effect of the HRQoL on this relationship.

Results

A total of 1,381 current smokers were included in the study. The participants showed a moderate level of nicotine dependence with a mean of 1.36(SD=1.50), a relatively high level of HRQoL scores (Mean=0.94, SD=0.13), and a depression score with a mean of 6.48(SD=6.09). Approximately 22.74% (314/1,381) of the participants were considered to indicate depression. In the univariable regression model, it was found that nicotine dependence was positively associated with depression (OR:1.094, 95%CI: 1.008-1.187), while HRQoL was negatively associated with depression (OR:0.011, 95%CI: 0.004-0.033). In the multivariable regression model, HRQoL was still notably associated with depression (OR:0.008, 95%CI: 0.002-0.027), however, the positive association was not observed between nicotine dependence and depression. The Pearson's correlation test demonstrated that nicotine dependence was negatively correlated with HRQoL(rs= -0.147, P<0.001) and HRQoL was negatively correlated with depression(rs= -0.275, P<0.001). In contrast, nicotine dependence was positively correlated with depression(rs= 0.136, P<0.001). Mediation analysis found that HRQoL moderated the relationship between nicotine dependence and depression with a mediating effect of 26.49%.

Conclusions

The findings support that nicotine dependence is positively associated with depression and HRQoL is negatively associated with depression in current smokers. HRQoL mediated the relationship between nicotine dependence and depression. The well-established imperative interventions aimed at promoting smoking cessation and improving quality of life may benefit for alleviation of depression in current smokers.

Assessing the causal relationship between psychiatric disorders and obstructive sleep apnea: a bidirectional Mendelian randomization

Background

Extensive observational evidence suggests an association between psychiatric disorders (PDs) and obstructive sleep apnea (OSA), but their causal relationship remains unexplored. The objective of this study was to examine the causal relationship between PDs and OSA.

Methods

Mendelian randomization (MR) analysis was conducted with summary genetic data from the FinnGen and Psychiatric Genomics Consortium (PGC). Inverse-variance weighted (IVW), MR-Egger, weighted median, and weighted mode methods were employed to ascertain causal influence. Sensitivity analysis employing various methodologies assessed the robustness of the findings. Furthermore, multivariable Mendelian randomization (MVMR) was used to clarify if the exposures independently caused OSA.

Results

MR analysis showed that genetically determined major depressive disorder (MDD) increased the risk of OSA (IVW odds ratio [OR]: 1.377, 95% confidence interval [CI]: 1.242-1.526, P = 1.05×10-9). Sensitivity analysis showed no evidence of pleiotropy and heterogeneity. In MVMR, the significant association persisted after adjusting for BMI, smoking, and alcohol consumption. No conclusive evidence indicated the causal impact of other psychological characteristics on OSA. In the reverse MR analyses, there was no causal effect of OSA on PDs.

Conclusion

This study suggests a causal effect of MDD on OSA risk. Further research is needed to confirm these findings and understand how MDD contributes to OSA development, potentially aiding in reducing OSA incidence.

Emotional distress and multimorbidity patterns in Chinese Han patients with osteoporosis: a network analysis

With the aging of the population, the prevalence of osteoporosis and multimorbidity is increasing. Patients with osteoporosis often experience varying levels of emotional distress, including anxiety and depression. However, few studies have explored the patterns of multiple conditions and their impact on patients' emotional distress. Here, we conducted a network analysis to explore the patterns of multimorbidities and their impact on emotional distress in 13,359 Chinese Han patients with osteoporosis. The results showed that multimorbidity was prevalent in Chinese patients with osteoporosis and increased with age, and was more frequent in males than in females, with the most common pattern of multimorbidity being osteoporosis and essential (primary) hypertension. Finally, we found that patients' emotional distress increased with the number of multimorbidities, especially in female patients, and identified eight multimorbidities with high correlation to patients' emotional distress.

Unhealthy behaviors associated with mental health disorders: a systematic comparative review of diet quality, sedentary behavior, and cannabis and tobacco use

Background

There are well-established literatures documenting the associations between mental disorders and unhealthy behaviors such as poor diet quality, sedentary behavior, and cannabis and tobacco use. Few studies have attempted to understand the respective findings in light of each other, however.

Objective

The purpose of this review was to assemble comparable data for each behavior-disorder association and assess the associations in terms of their overall strength. The review aimed to include a representative, but not exhaustive, range of studies that would allow for explorative comparisons.

Methods

Eligible studies were identified via Pubmed searches and citation searching, restricted to publications no older than 2015 written in English. To obtain comparable data, only studies that reported findings as odds ratios were included, and risk of bias related to study samples, behavioral measurement disparities, and control variables was assessed via sensitivity analyses. Findings for each disorder were compared on the basis of different measures of central tendency.

Results

From 3,682 records, 294 studies were included. The review found evidence of associations between each of the four unhealthy behaviors and psychosis, depression, anxiety, bipolar disorder, attention-deficit/hyperactivity disorder (ADHD), and post-traumatic stress disorder (PTSD), while personality disorder was only investigated in relation to cannabis and tobacco use. In overall comparison, the associations were generally of similar strength, and only the association between cannabis use and personality disorder was exceptional in terms of being significantly stronger than its counterparts across disorders and across behaviors. Analyses of bias risk identified some influence from behavioral measurement disparities and lack of adequate statistical control, but findings were generally robust across a range of sensitivity analyses.

Conclusion

This explorative and comparative review found that poor diet quality, sedentary behavior, and cannabis and tobacco use are about equally strongly associated with a range of different mental disorders. Given the general nature of these associations, we should probably understand them to reflect a general and shared etiology. However, the findings in this review should be regarded as tentative until confirmed by more comprehensive investigations.

Mediating effect of depression on the association between cardiovascular disease and the risk of all-cause mortality: NHANES in 2005-2018

BACKGROUND

Cardiovascular disease (CVD) patients are more likely to have depression than general populations, and meanwhile, depression increased all-cause mortality. However, the interaction effect of depression on CVD and all-cause mortality has not been reported yet.

HYPOTHESIS

Herein, we speculate that depression may play an intermediate role in the association of CVD and all-cause mortality.

METHODS

Demographic and clinical data of 33,156 adults (≥20 years old) were extracted from the National Health and Nutrition Examination Survey (NHANES) database in 2005-2018 in this retrospective cohort study. Weighted univariate and multivariate COX regression analyses were used to screen the covariates and to explore the relationship of CVD and depression. Distribution-of-product method was used to assess the mediating effect of depression on the association between CVD and all-cause mortality. The mediating effect of depression was also explored in age, gender, diabetes mellitus (DM), and dyslipidemia subgroups. The evaluation indexes were odds ratios (ORs), hazard ratios (HRs), and 95% confidence intervals (CIs).

RESULTS

Among the participants, 11 514 had CVD, 5844 had depression, and 4759 were died. After adjusting for covariates, CVD was related to high odds of depression (OR = 1.94). Depression played an intermediate role in CVD and all-cause mortality (HR = 1.23) with a mediational percentage of 9.13%. Subgroup analyses also showed this mediating effect existed in adults of different age, gender, DM and dyslipidemia status (all p < .05).

CONCLUSION

The intermediate effect of depression may help clinicians to early identify high-risk populations and provide some reference for disease management and mortality reduction.

A comparison in women with newly diagnosed diabetes between those with and without a history of gestational diabetes: a new perspective

AIMS

Previous gestational diabetes mellitus (GDM) entails increased risk of future diabetes. We describe the characteristics of women with previous GDM and compare with no previous GDM from the cohort Diabetes in Kalmar and Kronoberg (DKK) of 1248 adults, 40% women, with new diabetes, and factors affecting age and C-peptide levels at diagnosis of diabetes.

METHODS

Age-at-diagnosis of diabetes, BMI, hypertension, hyperlipidemia, smoking, physical activity, and pre-existing myocardial infarction, stroke, or peripheral arterial insufficiency were registered at ordinary care visits close to diagnosis of diabetes, for the 43 women (9.4% of 456 from DKK with complete data for this analysis) with self-reported previous GDM (yes/no) and 86 controls without it, matched for date of diagnosis of diabetes. Blood samples were centrally analyzed for GADA and C-peptide for classification of diabetes.

RESULTS

Women with previous GDM had lower mean age-at-diagnosis of diabetes, 53.4 vs 65.0 years, lower systolic blood pressure (SBP), 131.2 vs 137.5 mmHg, and fewer had pre-existing hypertension than without previous GDM (p < 0.001-0.05). Among antibody negative women with previous GDM, BMI (p = 0.024), hypertension (p = 0.023) and hyperlipidemia (p < 0.001) were associated with higher levels of C-peptide, while physical activity was inversely associated (p = 0.035), and SBP (p = 0.02) and hypertension (p = 0.016) were associated with age-at-diagnosis of diabetes.

CONCLUSIONS

Women with previous GDM were a decade younger and had lower prevalence of hypertension at diagnosis of diabetes; C-peptide levels were associated with BMI, hypertension, and hyperlipidemia and showed a tendency to be lower, possibly indicating a phenotype with higher risk of overt cardiovascular disease later in life.