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

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.

Depressive disorder subtypes, depressive symptom clusters, and risk of obesity and diabetes: A systematic review

BACKGROUND

Overlapping but divided literatures suggest certain depression facets may pose greater obesity and diabetes risk than others. Our objectives were to integrate the major depressive disorder (MDD) subtype and depressive symptom cluster literatures and to clarify which facets are associated with the greatest cardiometabolic disease risk.

METHODS

We conducted a systematic review of published studies examining associations of ≥2 MDD subtypes or symptom clusters with obesity or diabetes risk outcomes. We report which facets the literature is "in favor" of (i.e., having the strongest or most consistent results).

RESULTS

Forty-five articles were included. Of the MDD subtype-obesity risk studies, 14 were in favor of atypical MDD, and 8 showed similar or null associations across subtypes. Of the symptom cluster-obesity risk studies, 5 were in favor of the somatic cluster, 1 was in favor of other clusters, and 5 were similar or null. Of the MDD subtype-diabetes risk studies, 7 were in favor of atypical MDD, 3 were in favor of other subtypes, and 5 were similar or null. Of the symptom cluster-diabetes risk studies, 7 were in favor of the somatic cluster, and 5 were similar or null.

LIMITATIONS

Limitations in study design, sample selection, variable measurement, and analytic approach in these literatures apply to this review.

CONCLUSIONS

Atypical MDD and the somatic cluster are most consistently associated with obesity and diabetes risk. Future research is needed to establish directionality and causality. Identifying the depression facets conferring the greatest risk could improve cardiometabolic disease risk stratification and prevention programs.

Increased regional body fat is associated with depressive symptoms: a cross-sectional analysis of NHANES data obtained during 2011-2018

AIMS

The findings from previous epidemiological studies of the association between regional body fat and depressive symptoms have been unclear. We aimed to determine the association between the body fat in different regions and depressive symptoms based on data from the National Health and Nutrition Examination Survey (NHANES).

METHODS

This study included 3393 participants aged ≥ 20 years from the NHANES performed during 2011-2018. Depressive symptoms were assessed using the Patient Health Questionnaire-9. The fat mass (FM) was measured in different regions using dual-energy X-ray absorptiometry to determine the total FM, trunk FM, arm FM, and leg FM. The FM index (FMI) was obtained by dividing the FM in kilograms by the square of the body height in meters. Weighted data were calculated in accordance with analytical guidelines. Linear logistic regression models were used to quantify the association between regional FMI and depressive symptoms. Univariate and stratified analyses were also performed.

RESULTS

The participants in this study comprised 2066 males and 1327 females. There were 404 (11.91%) participants with depressive symptoms, who were aged 40.89 ± 11.74 years and had a body mass index of 30.07 ± 7.82 kg/m². A significant association was found between total FMI and depressive symptoms. In the fully adjusted multivariate regression model, a higher total FMI (odds ratio = 2.18, 95% confidence interval [CI] = 1.08-4.39) was related to a higher risk of depressive symptoms, while increased total FMI (β = 1.55, 95% CI = 0.65-2.44, p = 0.001), trunk FMI (β = 0.57, 95% CI = 0.04-1.10, p = 0.036), and arm FMI (β = 0.96, 95% CI = 0.33-1.59, p = 0.004) were significantly associated with PHQ-9 (Patient Health Questionnaire-9) scores, whereas the leg FMI was not (p = 0.102). The weighted association between total FMI and depressive symptoms did not differ significantly between most of the subpopulations (all p values for interaction > 0.05). The risk of having depression was higher in individuals who were non-Hispanic Whites, smokers, drinkers, obese, and had diabetes and thyroid problems (p < 0.05).

CONCLUSION

These findings suggest that the population with a higher regional FMI is more likely to have depressive symptoms, especially in those who also have an increased total FMI. The association is more pronounced in individuals who are smokers, drinkers, obese, and have diabetes and thyroid problems.

Lifestyle Elements for Improving Mental and Physical Health in Japanese University Students: Subjective Sleep Quality is a Common Key Factor

This study aimed to reveal the key lifestyle elements that improve physical and mental health in university students by focusing on physical activity, nutrition, and sleep. This cross-sectional study was conducted between October 2021 and December 2021. The participants were 290 first-year students (mean age, 18.63 ± .63 years; age range, 18 to 23; 198 female). The outcomes were daily step counts measured using accelerometers, dietary intake by nutrient category, sleep duration, subjective sleep quality, exercise frequency and duration by exercise type, screen time, depression level, and subjective fatigue by body part. Depression and subjective eye fatigue represent mental and physical health outcomes. Subjective sleep quality predicted depression (β = -1.22, P < .001) and eye fatigue (β = -.23, P < .01) in the path analysis. Participants with higher subjective sleep quality performed more frequent aerobic exercise (P < .01), longer session times of physical relaxation exercise (P < .05), and shorter screen time (P < .05). Subjective sleep quality could be a key factor for high mental and physical health. Furthermore, performing aerobic and relaxation exercises and reducing screen time are important for improving the subjective sleep quality.

Mapping from SIBDQ to EQ-5D-5L for patients with inflammatory bowel disease

OBJECTIVE

Clinical studies commonly use disease-specific measures to assess patients' health-related quality of life. However, economic evaluation often requires preference-based utility index scores to calculate cost per quality-adjusted life-year (QALY). When utility index scores are not directly available, mappings are useful. To our knowledge, no mapping exists for the Short Inflammatory Bowel Disease Questionnaire (SIBDQ). Our aim was to develop a mapping from SIBDQ to the EQ-5D-5L index score with German weights for inflammatory bowel disease (IBD) patients.

METHODS

We used 3856 observations of 1055 IBD patients who participated in a randomised controlled trial in Germany on the effect of introducing regular appointments with an IBD nurse specialist in addition to standard care with biologics. We considered five data availability scenarios. For each scenario, we estimated different regression and machine learning models: linear mixed-effects regression, mixed-effects Tobit regression, an adjusted limited dependent variable mixture model and a mixed-effects regression forest. We selected the final models with tenfold cross-validation based on a model subset and validated these with observations in a validation subset.

RESULTS

For the first four data availability scenarios, we selected mixed-effects Tobit regressions as final models. For the fifth scenario, mixed-effects regression forest performed best. Our findings suggest that the demographic variables age and gender do not improve the mapping, while including SIBDQ subscales, IBD disease type, BMI and smoking status leads to better predictions.

CONCLUSION

We developed an algorithm mapping SIBDQ values to EQ-5D-5L index scores for different sets of covariates in IBD patients. It is implemented in the following web application: https://www.bwl.uni-hamburg.de/hcm/forschung/mapping.html .

Construction of a depression risk prediction model for type 2 diabetes mellitus patients based on NHANES 2007-2014

BACKGROUND

Type 2 diabetes mellitus (T2DM) is a prevalent global health issue that has been linked to an increased risk of depression. The objective of this study was to construct a nomogram model for predicting depression in T2DM patients.

METHODS

A total of 4280 patients with T2DM were included in this study from the 2007-2014 NHANES. The entire dataset was split randomly into training set comprising 70 % of the data and a validation set comprising 30 % of the data. LASSO and multivariate logistic regression analyses identified predictors significantly associated with depression, and the nomogram was constructed with these predictors. The model was assessed by C-index, calibration curve, the hosmer-lemeshow test and decision curve analysis (DCA).

RESULTS

The nomogram model comprised of 9 predictors, namely age, gender, PIR, BMI, education attainment, smoking status, LDL-C, sleep duration and sleep disorder. The C-index of the training set was 0.780, while that of the validation set was 0.752, indicating favorable discrimination for the model. The model exhibited excellent clinical applicability and calibration in both the training and validation datasets. Moreover, the cut-off value of the nomogram is 223.

LIMITATIONS

This study has shortcomings in data collection, lack of external validation, and results non-extrapolation.

CONCLUSIONS

Our nomogram exhibits high clinical predictability, enabling clinicians to utilize this tool in identifying high-risk depressed patients with T2DM. It has the potential to decrease the incidence of depression and significantly improve the prognosis of patients with T2DM.

An e-mental health intervention to reduce depression symptoms in individuals with obesity: study protocol for the randomized, controlled, two-armed, confirmatory LightMood trial

BACKGROUND

Patients with obesity often experience psychological distress, specifically depression symptoms. Due to various barriers, such as limitations of healthcare offers, digital interventions, for example medical apps, can provide a suitable approach to support affected people. In the envisaged prospective randomized controlled trial, we aim to examine the efficacy of the LightMood intervention. The LightMood intervention is a manualized and user-centered, digital intervention for patients with obesity, with a duration of 4 months, which contains elements of cognitive behavioral therapy and mindfulness-based and skills-based exercises. We expect the LightMood intervention to be superior to treatment as usual (TAU) in terms of reducing depression symptoms.

METHODS

The trial incorporates four distinct measurement time points: the baseline assessment, the post-treatment assessment, and 1- and 3-month follow-up assessments. Furthermore, we implemented in-treatment assessments for both groups. Participants will be randomized into two groups (LightMood intervention vs TAU). The aim is to include 128 participants (64 per group) in the study. Inclusion criteria are patients who are obese, at least 18 years old, with a private Internet access, and with adequate digital literacy and show depression symptoms (PHQ ≥ 10). Exclusion criteria are weekly outpatient individual psychotherapy, obesity surgery within the last year or planned within the next 7 months, no private Internet access, and the prescription of a new psychotropic drug within the last 2 weeks. The primary outcome is the post-assessment reduction in depression symptoms. Secondary outcomes will include the improvement in self-efficacy, quality of life, mindfulness, reduction in eating disorder symptoms, and body mass index (BMI). Furthermore, we expect a positive development of depression symptoms throughout the different time points (T1, T2, and T3) in patients with obesity.

DISCUSSION

LightMood is an evidence-based, efficient, low-threshold online intervention that aims to reduce depression symptoms in people with obesity. Online interventions could offer a promising alternative to conventional face-to-face therapy. The primary objective of the current study is to add essential insight into the feasibility, efficacy, effectiveness, and acceptance of e-mental health interventions for people with obesity and depression symptoms.

TRIAL REGISTRATION

German Clinical Trial Register (DRKS), DRKS00029219. Registered on May 19, 2023.

Trajectories and predictors of anxiety and depression among older cancer survivors: a nationally representative cohort study

PURPOSE

The study aimed to describe the long-term trajectories of anxiety and depression among older cancer survivors and examine sociodemographic and health-related predictors of different trajectories.

METHODS

Data were from the National Health and Aging Trends Study. Patient Health Questionnaire-4 was used to assess anxiety and depression. Group-based trajectory model was used to identify the distinct trajectories of anxiety and depression from 2015 to 2021. Design-based multinomial logistic regression was used to examine predictors of different trajectories. All analyses accounted for the complex sample design and survey weights.

RESULTS

A total of 1766 older cancer survivors were included representing 8.9 million older cancer survivors. The prevalence of anxiety and depression from 2015 to 2021 ranged from 25.12 to 29.11%. Four trajectories were identified: sustained low-risk (49.0%), deteriorating (24.1%), meliorating (11.0%), and sustained high-risk (16.1%). Potential predictors of high-risk anxiety and depression include older age, female, lower annual income, abnormal BMI, poorer self-rated health, more difficulty in activities of daily living (ADL), and worse cognitive function (P < 0.05).

CONCLUSIONS

The anxiety and depression progression patterns are heterogeneous among older cancer survivors. The trajectory affiliations could be predicted by sociodemographic and health-related factors, which have the potential to inform targeted clinical strategies (e.g., improve ADL and ameliorate cognitive function).

IMPLICATIONS FOR CANCER SURVIVORS

Anxiety and depression are common among older cancer survivors, and long-term trajectories identified by this study might help realize early-stage identification and individualized interventions for mental disorders.

Dairy products intake and the risk of postpartum depression among mothers: A pilot study

Introduction

Postpartum depression is a prevalent consequence of childbirth experienced by many women. There has been evidence linking dairy intake during pregnancy with a reduction in postpartum depression symptoms. However, there is still a lack of understanding regarding the effects of postpartum dairy consumption on postpartum depression.

Objectives

To examine whether dairy products intake and calcium in dairy is associated with postpartum depression.

Methods

A pilot study was conducted (n = 49 postpartum women). A food frequency questionnaire was used to evaluate the participants' consumption of calcium and dairy products during pregnancy, and the Edinburgh Postnatal Depression Scale was used to screen for postpartum depression symptoms.

Results

Of 49 participants, 26 (53%) were at risk for postpartum depression (Edinburgh Postnatal Depression Scale ⩾ 12). Consuming >1 serving of Laban per day is significantly associated with reduced risk of postpartum depression (odds ratio = 0.01, 95% confidence interval [0, 0.3]). Total dairy intake >1 serving per day is significantly associated with reduced risk of postpartum depression (odds ratio = 0.17, 95% confidence interval [0.03, 0.83]). No significant association was found between the postpartum intake of milk, cheese, yogurt, or calcium and postpartum depression.

Conclusion

Our findings indicate that higher total dairy intake was associated with a lower likelihood of postpartum depression. Further assessment with a larger sample size of participants could provide additional insight into the potential of dietary dairy to mitigate postpartum depression.

Predicting depressive symptom by cardiometabolic indicators in mid-aged and older adults in China: a population-based cross-sectional study

Objective

Depressive symptom is a serious mental illness often accompanied by physical and emotional problems. The prevalence of depressive symptom in older adults has become an increasingly important public health priority. Our study used cardiometabolic indicators to predict depressive symptom in middle-aged and older adults in China.

Methods

The data came from the China Health and Retirement Longitudinal Study 2011 (CHARLS2011), which was a cross-sectional study. The analytic sample included 8,942 participants aged 45 years or above. The study evaluated the relationship between cardiometabolic indicators and depression by measuring 13 indicators, including body mass index (BMI), waist circumference, waist-height ratio (WHtR), conicity index, visceral adiposity index (VAI), Chinese visceral adiposity index (CVAI), lipid accumulation product (LAP), a body shape index (ABSI), body roundness index (BRI), triglyceride glucose index (TyG-index) and its correlation index (TyG-BMI, TyG-waist circumference, TyG-WHtR). Binary logistic regression analysis was used to examine the association between thirteen cardiometabolic indicators and depressive symptom. In addition, the receiver operating characteristic (ROC) curve analysis and area under curve (AUC) were used to evaluate the predictive anthropometric index and to determine the optimum cut-off value.

Results

The study included 8,942 participants, of whom 4,146 (46.37%) and 4,796 (53.63%) were male and female. The prevalence of depressive symptom in mid-aged and older adults in China was 41.12% in males and 55.05% in females. The results revealed that BMI [AUC = 0.440, 95%CI: 0.422-0.457], waist circumference [AUC = 0.443, 95%CI: 0.425-0.460], WHtR [AUC = 0.459, 95%CI: 0.441-0.476], LAP [AUC = 0.455, 95%CI: 0.437-0.472], BRI [AUC = 0.459, 95%CI: 0.441-0.476], CVAI [AUC = 0.449, 95%CI: 0.432-0.467], TyG-BMI [AUC = 0.447, 95%CI: 0.429-0.465], and TyG-waist circumference [AUC =0.452, 95%CI: 0.434-0.470] were weak predictors of depressive symptom (p < 0.05) in males. In females, BMI [AUC = 0.470, 95%CI: 0.453-0.486], LAP [AUC = 0.484, 95%CI: 0.467-0.500], TyG-BMI [AUC = 0.470, 95%CI: 0.454-0.487], and TyG-waist circumference [AUC =0.481, 95%CI: 0.465-0.498] were weak predictors of depressive symptom (p < 0.05). On the other side, VAI, ABSI, conicity index and TyG index could not predict depressive symptom in middle-aged and older adults.

Conclusion

Most cardiometabolic indicators have important value in predicting depressive symptom. Our results can provide measures for the early identification of depressive symptom in middle-aged and older adults in China to reduce the prevalence of depressive symptom and improve health.

Association between academic pressure, NR3C1 gene methylation, and anxiety symptoms among Chinese adolescents: a nested case-control study

BACKGROUND

Academic pressure is a prevalent stressor among Chinese adolescents and is often linked to anxiety symptoms, although the underlying mechanism remains unclear. This study aimed to investigate the association between NR3C1 gene methylation, academic pressure, and anxiety symptoms among Chinese adolescents.

METHODS

This nested-case control study included 150 adolescents (boys: 38.7%; baseline age: 12-17 years) from a school-based longitudinal study of Chinese adolescents. Cases (n = 50) were defined as those with anxiety symptoms at both baseline and follow-up, while controls (n = 100) were randomly selected from those without anxiety symptoms at both timepoints. The cases and controls were 1:2 matched by age. Academic pressure, anxiety symptoms, and potential covariates were measured using a self-report questionnaire. Peripheral whole blood samples were collected from each participant for the detection of cortisol level (i.e., morning serum cortisol level) and DNA methylation. The methylation analysis included a total of 27 CpG units at the NR3C1 promoter region.

RESULTS

The final adjusted models showed that students with heavy academic pressure at baseline were at a higher risk of anxiety symptoms at follow-up compared to those with mild academic pressure (β estimate: 6.24 [95% CI: 3.48 ~ 9.01]). After adjusting for covariates, the methylation level of one CpG unit (NR3C1-16 CpG10) in NR3C1 differed significantly between cases and controls (F = 6.188, P = 0.014), and the difference remained significant after correction for multiple testing (P < 0.025). The adjusted regression models showed that moderate (β estimate = 0.010 [95% CI: 0.000 ~ 0.020], P = 0.046) and heavy (β estimate = 0.011 [95% CI: 0.001 ~ 0.020], P = 0.030) academic pressure were significantly associated with the methylation level of NR3C1-16 CpG 10. Further mediation analysis demonstrated that the association of academic pressure and anxiety symptoms was significantly mediated by the methylation of NR3C1-16 CpG 10 (β estimate for indirect effect = 0.11 [95% CI: 0.005 ~ 0.32]; indirect/total effect = 8.3%).

CONCLUSION

The present study suggests that NR3C1-16 CpG 10 DNA methylation might be a potential mechanism that partially explains the lasting effects of academic pressure on subsequent anxiety symptoms among adolescents. Further studies with larger sample sizes are recommended to replicate this finding.

Effects of mindfulness-based interventions on anthropometric outcomes: A systematic review and meta-analysis

BACKGROUND AND OBJECTIVES

The effects of mindfulness-based interventions (MBIs) on anthropometrics remain obscure. This review quantitatively synthesizes the effects of MBIs on decreasing body mass index (BMI), waist circumference (WC), weight, and percent body fat (%BF).

METHODS

Seven databases, including CINAHL Plus with Full Text, PubMed, PsycINFO, Cochrane, Web of Science Core Collection, Embase, and Sociological Abstracts were searched; studies with a comparison group were selected. Random-effects models were then applied to estimate the pooled effects (Hedge's g), while exploratory moderation analyses with mixed-effects models were performed to explore potential moderators of MBIs on anthropometrics.

RESULTS

The pooled effect size was -0.36 (p < .001) on BMI, -0.52 (p < .001) on WC, -1.20 (p < .004) on weight loss, and -0.43 (p = .389) on %BF. The long-term effects from baseline to follow-up and from post-intervention to follow-up were sustained on BMI (-0.37, p = .027; -.24, p = .065) and weight loss (-1.91, p = .027; -0.74, p = .011) respectively. For weight loss, adding mindful movement had greater effects than those without (-2.65 vs -0.39, p < .001).

CONCLUSION

Our findings support the short-term MBI effects on BMI reduction, WC, weight, and %BF, and long-term effects on reducing BMI and weight. Future efforts should focus on sustaining effects on reducing WC and %BF.

Supporting Weight Management during COVID-19 (SWiM-C): twelve-month follow-up of a randomised controlled trial of a web-based, ACT-based, guided self-help intervention

OBJECTIVES

We developed a guided self-help intervention (Supporting Weight Management during COVID-19, "SWiM-C") to support adults with overweight or obesity in their weight management during the COVID-19 pandemic. This parallel, two-group trial (ISRCTN12107048) evaluated the effect of SWiM-C on weight and determinants of weight management over twelve months.

METHODS

Participants (≥18 years, body-mass-index ≥25 kg/m²) were randomised to the SWiM-C intervention or to a standard advice group (unblinded). Participants completed online questionnaires at baseline, four months, and twelve months. The primary outcome was change in self-reported weight from baseline to twelve months; secondary outcomes were eating behaviour (uncontrolled eating, emotional eating, cognitive restraint of food intake), experiential avoidance, depression, anxiety, stress, wellbeing and physical activity.

INTERVENTIONS

SWiM-C is based on acceptance and commitment therapy (ACT). Participants had access to an online web platform with 12 weekly modules and email and telephone contact with a trained, non-specialist coach. Standard advice was a leaflet on managing weight and mood during the COVID-19 pandemic.

RESULTS

388 participants were randomised (SWiM-C: n = 192, standard advice: n = 196). The baseline-adjusted difference in weight change between SWiM-C (n = 119) and standard advice (n = 147) was -0.81 kg (95% CI: -2.24 to 0.61 kg). SWiM-C participants reported a reduction in experiential avoidance (-2.45 [scale:10-70], 95% CI: -4.75 to -0.15), uncontrolled eating (-3.36 [scale: 0-100], 95% CI: -5.66 to -1.06), and emotional eating (-4.14 [scale:0-100], 95% CI: -7.25 to -1.02) and an increase in physical activity (8.96 [MET-min/week], 95% CI: 0.29 to 17.62) compared to standard advice participants. We found no evidence of an effect on remaining outcomes. No adverse events/side effects were reported.

CONCLUSIONS

Whilst we were unable to conclude that the intervention had an effect on weight, SWiM-C improved eating behaviours, experiential avoidance and physical activity. Further refinement of the intervention is necessary to ensure meaningful effects on weight prior to implementation in practice.

TRIAL REGISTRATION NUMBER

ISRCTN 12107048.

Depressive Symptoms and Control of Emotions among Polish Women with Polycystic Ovary Syndrome

INTRODUCTION

Polycystic ovary syndrome (PCOS) is a disorder that substantially affects women's health. It is particularly diagnosed in young patients. Women with PCOS are burdened with excessive weight gain, overweight and obesity (74%) compared to a healthy female population. Excessive weight influences psychological state and emotional well-being, whereas in the meantime, psychological and behavioral dysfunction is increasingly being diagnosed among patients with PCOS.

AIM

To assess depressive symptoms and emotional control among women with PCOS in relation to BMI.

METHODS

The study was conducted among 671 self-reported PCOS women. The standardized Beck Depression Inventory (BDI) was used to assess depressive disorders. Emotion control was assessed using the Courtauld Emotional Control Scale (CECS).

RESULTS

Moderate and severe depressive symptoms were more common in PCOS women with abnormal BMI compared to normal BMI subjects (p < 0.01). In total, 27.1% of obese women had moderate depression and 28.8% had severe depression. Among overweight women, 19.9% suffered from moderate and 25% from severe depressive symptoms. Underweight women also reported moderate (25.6%) and severe (33.3%) depressive signs. There were no statistically significant differences between the body weight of the women studied and the CECS scores.

CONCLUSIONS

Depressive symptoms are more common in women with PCOS and abnormal BMI than in women with PCOS and proper BMI. The severity of depressive symptoms increases with BMI, but underweight women with PCOS are also at risk of depressive disorders. The level of suppression of negative emotions is independent of BMI in women with PCOS.

Body mass index trajectories from childhood concerning emotional states in young adulthood: Tehran Lipid and Glucose Study

This study aimed to identify body mass index (BMI) trajectories from childhood and their relationships with depression, anxiety, and stress symptoms in young adulthood. A total of 687 children aged 4-18 years were recruited from the Tehran Lipid and Glucose Study. Throughout 18 years of follow-up, BMI was measured every 3 years for a maximum of 6 data points. Participants completed the depression, anxiety, and stress scale in their young adulthood (aged 22-36). The group-based trajectory modelling was applied to identify BMI patterns. The logistic regression model was used to assess the association between BMI trajectories and depression, anxiety, and stress symptoms in adulthood. Two BMI trajectories were identified from childhood to young adulthood: healthy weight (HW = 69.6%) and persistent increasing overweight/obesity (PIO = 30.4%). After adjusting for potential confounders, compared with the HW group, men in the PIO group were more likely to experience higher stress levels (OR: 1.62, 95% CI: 0.99-2.63; p = 0.05). No significant association was observed between the PIO trajectory and depression and anxiety among both sexes and stress symptoms in females. Our results highlight that developing overweight and obesity from childhood may be related to increased stress in males.

Risk variants of obesity associated genes demonstrate BMI raising effect in a large cohort

Obesity is highly polygenic disease where several genetic variants have been reportedly associated with obesity in different ethnicities of the world. In the current study, we identified the obesity risk or protective association and BMI raising effect of the minor allele of adiponectin, C1Q and collagen domain containing (ADIPOQ), cholesteryl ester transfer protein (CEPT), FTO alpha-ketoglutarate dependent dioxygenase (FTO), leptin (LEP), and leptin receptor (LEPR) genes in a large cohort stratified into four BMI-based body weight categories i.e., normal weight, lean, over-weight, and obese. Based on selected candidate genetic markers, the genotyping of all study subjects was performed by PCR assays, and genotypes and allele frequencies were calculated. The minor allele frequencies (MAFs) of all genetic markers were computed for total and BMI-based body weight categories and compared with MAFs of global and South Asian (SAS) populations. Genetic associations of variants with obesity risk were calculated and BMI raising effect per copy of the minor allele were estimated. The genetic variants with higher MAFs in obese BMI group were; rs2241766 (G = 0.43), rs17817449 (G = 0.54), rs9939609 (A = 0.51), rs1421085 (C = 0.53), rs1558902 (A = 0.63), and rs1137101 (G = 0.64) respectively. All these variants were significantly associated with obesity (OR = 1.03–4.42) and showed a high BMI raising effect (β = 0.239–0.31 Kg/m²) per copy of the risk allele. In contrast, the MAFs of three variants were higher in lean-normal BMI groups; rs3764261 A = 0.38, rs9941349 T = 0.43, and rs7799039 G = 0.40–0.43). These variants showed obesity protective associations (OR = 0.68–0.76), and a BMI lowering effect per copy of the protective allele (β = -0.103–0.155 Kg/m²). The rs3764261 variant also showed significant and positive association with lean body mass (OR = 2.38, CI = 1.30–4.34). Overall, we report six genetic variants of ADIPOQ, FTO and LEPR genes as obesity-risk markers and a CETP gene variant as lean mass/obesity protective marker in studied Pakistani cohort.

The Impact of Caffeine Intake on Mental Health Symptoms in Postmenopausal Females with Overactive Bladder Symptoms: A Randomized, Double-Blind, Placebo-Controlled Trial

Background: Caffeine has been associated with a dose-dependent variety of mental health changes, which have been found to precede or be a complication of overactive bladder (OAB) symptoms after menopause. The current study examines the effects of low and moderate caffeine intake on anxiety, depression, sleep, and stress in postmenopausal females with OAB. Materials and Methods: Eighty-one females were randomized in a prospective, double-blind, placebo-controlled study. Participants were allocated to 200 mg/day caffeine, 400 mg/day caffeine, and placebo capsules for 1 week each in a crossover design and evaluated using validated mental health questionnaires. Symptoms during each treatment phase were measured using Beck Anxiety and Depression Inventory, Insomnia Severity Index, and Perceived Stress Scale. Linear regression models were used to examine the impact of low (200 mg/day) and moderate (400 mg/day) dose of caffeine and placebo on mental health. Results: Fifty-six female participants finished the study. The mean age was 69.2 years (58.0-84.0 years). Two females dropped out during the treatment phase with 400 mg/day caffeine intake due to side effects associated with headaches and nausea. Moderate dose of caffeine showed a small positive effect on mental health, specifically a decrease in anxiety during 7 days of exposure (p < 0.05). Conclusions: Moderate caffeine use may decrease anxiety in postmenopausal patients with underlying OAB, whereas depression, insomnia, and perceived stress were not affected by low-to-moderate caffeine intake. Our results support that counseling efforts on moderate caffeine consumption in postmenopausal patients underline that low-to moderate caffeine intake may be appropriate and possibly beneficial unless contraindicated due to other underlying conditions. Clinical Trials Registration: clinicaltrials.gov (NCT02180048).

Depressive Symptoms and Quality of Life in Patients With Heart Failure and an Implantable Cardioverter-Defibrillator

BACKGROUND

Heart failure (HF) is associated with development of depressive symptoms and reduced quality of life (QoL). Patients with HF and an implantable cardioverter-defibrillator (ICD) were evaluated regarding depressive symptoms and QoL.

METHODS

The present study included 446 patients with HF and an ICD. Depressive symptoms were assessed using the Patient Health Questionnaire 9 (PHQ-9), QoL was evaluated using the Minnesota Living with Heart Failure Questionnaire (MLHFQ). Functional ability and exercise tolerance were assessed at inclusion and after 6 months with help of the 6-min walking test (6MWT).

RESULTS

Patients included in the study had a mean age of 65.8 years and were predominantly male (83.6%), with mostly ischemic (n = 277; 62.1%) or dilated (n = 150; 33.6%) cardiomyopathy. One hundred ninety-three (43.2%) patients had depressive symptoms, of whom 75 patients (16.8%) were classified as moderate to severe depression according to the PHQ-9 at baseline. Depressive symptoms were associated with low QoL independent of NYHA functional class. High NYHA functional class, high PHQ-9 score, age and body mass index (BMI) were associated with a lower 6MWT at enrollment, while depressive symptoms (expressed as higher PHQ-9 score) and age were associated with a lower 6MWT after 6 months. Patients with history of smoking and a higher BMI showed higher PHQ-9 scores after 6 months. Patients under antidepressant medication showed improved PHQ-9 score after 6 months, indicating controlled/treated depression. However, patients with low QoL at inclusion remained with low QoL after 6 months.

CONCLUSION

Depressive symptoms correlate with low QoL and lower long-term functional status in patients with HF and an ICD. Depressive symptoms are associated with smoking and obesity, which themselves are risk factors for a poor prognosis in HF. Only a small fraction of patients with HF and ICD showing depressive symptoms receives appropriate treatment. Assessing depressive symptoms and lifestyle factors should be part of a multimodal treatment plan in patients with HF and an ICD.

Longitudinal development of depression and anxiety during COVID-19 pandemic in Germany: Findings from a population-based probability sample survey

The stress response to the COVID-19 pandemic might differ between early and later stages. Longitudinal data on the development of population mental health during COVID-19 pandemic is scarce. We have investigated mental health trajectories and predictors for change in a probability sample of the general population in Germany at the beginning and after 6 months of the pandemic. We conducted a longitudinal survey in a population-based probability sample of German adults. The current study analyzed data from a first assessment in May 2020 (T1; N = 1,412) and a second in November 2020 (T2; N = 743). Mental health was assessed in terms of anxiety and depression using the Patient Health Questionnaire-4 (PHQ-4). Mental health outcomes at T1 were compared with PHQ-4 norm data. Trajectories over time were investigated based on outcome classifications of PHQ-4 scores. Predictors of mental health outcomes and change were identified using multiple regression analysis. In spring 2020, participants showed significantly higher PHQ-4 scores as compared to the norm data, however, overall anxiety and depression remained low also 6 months later. 6.6% of respondents showed a mental health deterioration in autumn 2020, entering subclinical and clinical ranges, outweighing the proportion of people with improved outcomes. Sociodemographic variables associated with mental distress at T1 were mainly not predictive for change at T2. Even under prolonged pandemic-related stress, mental health remained mainly stable in the general population. Further development of the considerable subgroup experiencing deterioration of depression and anxiety should be monitored, in order to tailor prevention and intervention efforts.

Depression and generalised anxiety and associated factors among adults in Bhutan: Results of national cross-sectional survey in 2019

The study aimed to evaluate the prevalence and correlates of major depressive disorder (MDD) and generalised anxiety disorder (GAD) in people 15 years in Bhutan in 2019. Cross-sectional data were analyzed from 5575 people (15-69 years) who participated in the 2019 Bhutan STEPS survey. The proportion of mild MDD was 12.3% and moderate to severe MDD 2.0%, and the prevalence of mild GAD was 7.4% and moderate to severe GAD 1.7%. In adjusted ordinal logistic regression analysis, alcohol family problem (Adjusted Odds Ratio-AOR: 2.23, 95% Confidence Interval-CI: 1.35-3.68), suicidal behaviour (AOR: 7.69, 95% CI: 3.69-6.01), passive smoking (AOR: 7.69, 95% CI: 3.69-6.01), heart attack, angina or stroke (AOR: 3.32, 95% CI: 2.13-5.79), and current tobacco use (AOR: 1.74, 95% CI: 1.38-2.19) were positively, and middle-aged (30-44 years) (AOR: 0.77, 95% CI: 0.60-1.00) and male sex (AOR: 0.47, 95% CI: 0.38-0.58) were negatively associated with mild and moderate-severe MDD. Medium wealth status (AOR: 1.82, 95% CI: 1.18, 2.82), alcohol family problem (AOR: 2.36, 95% CI: 1.29-4.31), suicidal behaviour (AOR: 6.11, 95% CI: 2.75-13.59), and heart attack, angina or stroke (AOR: 3.18, 95% CI: 1.61-6.29), were positively, and male sex (AOR: 0.59, 95% CI: 0.44-0.758) was negatively associated with mild and moderate-severe GAD. A low prevalence of mood disorders was found. Factors associated with MDD and/or GAD included sociodemographic factors (female sex, middle wealth status), psychosocial and environmental stressors (alcohol family problem, suicidal behaviour, passive smoking, heart attack, angina or stroke), and health risk behaviour (current tobacco use), which can be targeted in public health interventions.

Relationship Between Myopia and Other Risk Factors With Anxiety and Depression Among Chinese University Freshmen During the COVID-19 Pandemic

Purpose: To investigate the association of myopia and other risk factors with anxiety and depression among Chinese university freshmen during the coronavirus disease 2019 (COVID-19) pandemic.

Methods: This cross-sectional study was conducted at the Tianjin Medical University from October 2020 to December 2020. Ophthalmic examination of the eyes was performed by an experienced ophthalmologist. Detailed information on depression, anxiety, and other risk factors was collected via the Self-rating Anxiety Scale and Self-rating Depression Scale.

Results: The overall prevalence of anxiety and depression in our study was 10.34 and 25.13%, respectively. The prevalence of myopia and high myopia as 92.02 and 26.7%, respectively. There were significant associations between anxiety and spectacle power [odds ratios (OR) = 0.89; 95% CI: 0.81–0.98, P = 0.019], sphere equivalent (OR = 0.89; 95% CI: 0.81– 0.98, P = 0.025), sleep time (OR = 0.53; 95% CI: 0.35–0.79, P = 0.002), and body mass index (OR = 0.93; 95% CI: 0.86–0.99, P = 0.047). In the multivariable linear regression models, spectacle power (β = −0.43; 95% CI: −0.68 to −0.19, P = 0.001) and sphere equivalent (β = −0.36; 95% CI: −0.60 to −0.11, P = 0.005) were negatively associated with anxiety scores, whereas axial length (β = 0.54; 95% CI: 0.02–1.07, P = 0.044) was positively correlated with anxiety scores. Every 1 h decrease in sleep time was associated with a 0.12-point increase in depression score.

Conclusion: Myopia was associated with anxiety and anxiety scores. The greater the degree of myopia, the higher the anxiety score. However, myopia was not found to be associated with depression. The results highlight the importance of providing psychological support to students with myopia during the COVID-19 pandemic.

The association between serum vitamin D and mood disorders in a cohort of lipedema patients

OBJECTIVES

The association between serum Vitamin D (Vit. D) and mood disorders in lipedema patients has not been investigated. Therefore, the main aim of this study is to investigate the correlation between serum Vit. D, depression and anxiety risk.

METHODS

A cross-sectional cohort of lipedema patients were investigated by collecting the clinical and demographic data. The Hamilton Depression Scale (HAM-D) and the Hamilton of Anxiety Scale (HAM-A) were used to evaluating the risk of depression and anxiety. Serum concentrations of Vit. D were measured. The association between Vit. D levels and both HAM-A and HAM-D scores were statistically examined by bivariate and partial correlations.

RESULTS

Forty lipedema patients were enrolled in this study. Around two-thirds of them had a higher depression or anxiety risk, and 77.5% were under the normal serum Vit. D levels. A significant and inverse correlation was observed between serum Vit. D levels and both HAM-D (r=-0.661, p<0.001), and HAM-A (r=-0.496, p=0.001) scores. This strong association was sustained after the statistical model adjusted for the main potential confounding factors (age, body mass index (BMI), disease duration, and lipedema stages). Additionally, serum Vit. D correlated significantly and inversely with BMI (r=-0.647, p<0.001). Moreover, BMI significantly correlated with HAM-D: r=0.560, p<0.001, and HAM-A: r=0.511, p=0.00.

CONCLUSIONS

This study suggests a strong correlation between Vit. D levels, depression scores, and anxiety scores in lipedema patients. Our results also demonstrate a strong and direct relationship between BMI, Vit. D levels, depression, and anxiety.

Predicting Acceptance of e-Mental Health Interventions in Patients with Obesity by using an extended Unified Theory of Acceptance Model: Cross-sectional study (Preprint)

Background

The rapid increase in the number of people who are overweight and obese is a worldwide health problem. Obesity is often associated with physiological and mental health burdens. Owing to several barriers to face-to-face psychotherapy, a promising approach is to exploit recent developments and implement innovative e–mental health interventions that offer various benefits to patients with obesity and to the health care system.

Objective

This study aims to assess the acceptance of e–mental health interventions in patients with obesity and explore its influencing predictors. In addition, the well-established Unified Theory of Acceptance and Use of Technology (UTAUT) model is compared with an extended UTAUT model in terms of variance explanation of acceptance.

Methods

A cross-sectional web-based survey study was conducted from July 2020 to January 2021 in Germany. Eligibility requirements were adult age (≥18 years), internet access, good command of the German language, and BMI >30 kg/m² (obesity). A total of 448 patients with obesity (grades I, II, and III) were recruited via specialized social media platforms. The impact of various sociodemographic, medical, and mental health characteristics was assessed. eHealth-related data and acceptance of e–mental health interventions were examined using a modified questionnaire based on the UTAUT.

Results

Overall, the acceptance of e–mental health interventions in patients with obesity was moderate (mean 3.18, SD 1.11). Significant differences in the acceptance of e–mental health interventions among patients with obesity exist, depending on the grade of obesity, age, sex, occupational status, and mental health status. In an extended UTAUT regression model, acceptance was significantly predicted by the depression score (Patient Health Questionnaire-8; β=.07; P=.03), stress owing to constant availability via mobile phone or email (β=.06; P=.02), and confidence in using digital media (β=−0.058; P=.04) and by the UTAUT core predictors performance expectancy (β=.45; P<.001), effort expectancy (β=.22; P<.001), and social influence (β=.27; P<.001). The comparison between an extended UTAUT model (16 predictors) and the restrictive UTAUT model (performance expectancy, effort expectancy, and social influence) revealed a significant difference in explained variance (F_13,431=2.366; P=.005).

Conclusions

The UTAUT model has proven to be a valuable instrument to predict the acceptance of e–mental health interventions in patients with obesity. The extended UTAUT model explained a significantly high percentage of variance in acceptance (in total 73.6%). On the basis of the strong association between acceptance and future use, new interventions should focus on these UTAUT predictors to promote the establishment of effective e–mental health interventions for patients with obesity who experience mental health burdens.

Dietary phytochemical index in relation to risk of glioma: a case-control study in Iranian adults

BACKGROUND & AIM

No study is available that explores the association of dietary phytochemical index (DPI) with glioma. The objective of the current study was to assess this association in Iranian adults.

METHODS

This hospital-based case-control study included 128 newly-diagnosed cases of glioma and 256 age- and sex-matched controls. Data collection on dietary intakes was done using a 123-item validated food frequency questionnaire. Calculation of DPI was done as (dietary energy derived from phytochemical-rich foods (kcal)/total daily energy intake (kcal)) × 100. Logistic regression models were used to examine the association between DPI and glioma.

RESULTS

Individuals in the top tertile of DPI were more likely to be older and female. Before taking potential confounders into account, subjects in the top tertile of DPI tended to have a 40% reduced chance of glioma than those in the bottom tertile (OR: 0.60; 95% CI: 0.35-1.02, P = 0.06). After controlling for age, sex, energy intake, several demographic variables and dietary intakes, the association between DPI and glioma became strengthened (OR: 0.43; 95% CI: 0.19-0.97, P = 0.04).

CONCLUSION

High intakes of phytochemical-rich foods were associated with a lower risk of glioma in adults. High consumption of phytochemical-rich foods might be recommended to prevent glioma. However, further studies with a prospective design are needed to confirm our findings.

Predictors of weight loss in participants with obesity following bariatric surgery - A prospective longitudinal fMRI study

Prevalence rates of overweight and obesity are increasing worldwide and are amongst the leading causes of death. Participants with obesity also suffer from poorer mental health with a concomitant reduced quality of life. Bariatric surgery outperforms other existing weight optimization approaches. However, hitherto, it was not possible to identify factors predicting weight loss following surgery. Therefore, we aimed at investigating neural and behavioral predictors of weight loss, as well as the neurological underpinnings of food cue-induced craving before and after bariatric surgery. The total sample consisted of 26 participants with obesity (17 females and 9 males, mean age 41 ± 12 years, mean BMI 46 ± 6 kg/m2, 21 received Roux-en-Y gastric bypass and 5 sleeve gastrectomy). Participants with obesity were prospectively assessed using functional magnetic resonance imaging two weeks before, as well as eight and 24 weeks after surgery. Imaging data were available for 11 individuals; 10 received Roux-en-Y gastric bypass and one sleeve gastrectomy. Subjective cue-induced food craving correlated positively with brain activation in the amygdala, the parahippocampal gyrus, and hippocampus, and negatively with brain activation in frontal brain regions. In the total sample (N = 26), perceived feeling of hunger and YFAS sum score explained 50.6% of the variance (R² = 0.506, F_(1,23) = 10.759, p < 0.001) and in the imaging sample, cue-induced food craving at baseline before surgery explained 49.6% of the variance (R² = 0.496, F_(1,23) = 7.862, p = 0.023) of % total weight loss (%TWL). In other words, with respect to %TWL, bariatric surgery was most efficient in candidates characterized by high cue-induced food craving, high-perceived feeling of hunger and a low YFAS sum score.

Investigating the Factors Affecting Depression By Using Structural Equation Modeling

The objective of the research was to study the factors affecting depression in general population. Materials and Methods. A total of 1,291 individuals at the age of 15-68 years participated in this cross-sectional study. The Demographic Information Form, the Beck Depression Inventory for Primary Care and the Generalized Anxiety Disorder Scale were used as data collection tools. The data obtained were evaluated in the SPSS 23 package program. Missing data were validated for extreme values, and, then, tested for normality and homogeneity. Testing for the research model was implemented by structural equation modeling using the AMOS program. Results. The following goodness-of-fit values were determined for the revised model predicting the factors influencing depression: χ2 = 535.62, χ2/df = 4.74, the normed fit index = 0.95, the Tucker-Lewis index = 0.95, the comparative fit index = 0.96, the goodness-of-fit index = 0.95, the adjusted goodness-of-fit index = 0.94, the root-mean-square error of approximation = 0.05, the root mean square residual = 0.12, which were within acceptable limits. According to our model, the generalized anxiety disorder-7 (t = 15.923; p < 0.001), gender (t = -5.866; p < 0.001), age (t = -8.193; p < 0.001) and marital status (t = -6.107; p < 0.001) had a significant effect on depression. However, there was no significant relationship between depression score and educational status, place of residence, family type, and smoking. Conclusions. In this model of our study, generalized anxiety disorder was found to have the greatest effect on depression, followed by age, marital status, and gender, respectively.