Lifestyle management of unipolar depression

Comorbidity of Depression and Diabetes: A Literature Review on Systemic Flaws in Healthcare and the Benefits of Collaborative Diagnosis and Treatment in Primary Care Settings

BACKGROUND

The increasing specialization and dispersion of healthcare systems have led to a shortage of resources to address comorbidities. Patients with coexisting mental and physical conditions are disadvantaged, as medical providers often only focus on the patient's mental illness while neglecting their physical needs, resulting in poorer health outcomes.

OBJECTIVE

This study aimed to shed light on the systemic flaws in healthcare systems that contribute to suboptimal health outcomes in individuals with comorbid diseases, including depression and diabetes. This paper also discusses the clinical and economic benefits of collaborative methods for diagnosing and treating depressive disorders in primary care settings.

METHODS

A comprehensive literature review of the relationship between depression and diabetes was conducted. The outcomes of the literature review were carefully analyzed. Several databases were searched using keywords such as "diabetes," "depression," "comorbidity," "prevalence," "epidemiology," and "risk factors" using Google Scholar and PubMed as search engines. The review and research papers written between 1961 and 2023 were our main focus.

RESULTS

This study revealed improved depressive symptoms and better blood sugar and blood pressure control. Additionally, individuals with comorbid depression and diabetes have higher direct and secondary medical costs. Antidepressants and psychological interventions are equally effective in treating depressive symptoms in patients with diabetes, although they have conflicting effects on glycemic control. For individuals with comorbid diabetes and depression, clear care pathways, including a multidisciplinary team, are essential for achieving the best medical and mental health outcomes.

CONCLUSION

Coordinated healthcare solutions are necessary to reduce the burden of illness and improve therapeutic outcomes. Numerous pathophysiological mechanisms interact with one another and may support the comorbidities of T2DM, and depressive disorders could exacerbate the course of both diseases.

The relationship between emotional eating, mindful eating, and depression in young adults

The aim of this study was to examine the relationship between eating behavior, eating awareness, and depression in young adults. Young adults aged between 18 and 25 years were included in the study. Questionnaires and body composition measurements were made face-to-face by the researcher in the interview room. The demographic characteristics were questioned through the questionnaire form. Three Factor Eating Questionnaire (TFEQ), Mindful Eating Questionnaire (MEQ), and Beck Depression Inventory (BDI) were used. It was determined that the Mindful Eating Questionnaire total score and Beck Depression Inventory total score affected emotional eating. A statistically significant positive correlation was found between the Beck Depression Inventory total score and the Three Factor Eating Questionnaire sub-scores. There was a statistically significant negative correlation Beck Depression Inventory total score and the Mindful Eating Questionnaire total score and sub-scores of mindless eating and emotional eating. In summary, depression seems to be a factor that triggers emotional eating, and emotional eating is a factor that negatively affects mindful eating.

Depression screening model for middle-aged and elderly diabetic patients in China

Diabetes is a common global disease closely associated with an increased risk of depression. This study analyzed China Health and Retirement Longitudinal Study (CHARLS) data to examine depression in diabetic patients across China. using 29 variables including demographic, behavioral, health conditions, and mental health parameters. The dataset was randomly divided into a 70% training set and a 30% validation set. Predictive factors significantly associated with depression were identified using least absolute shrinkage and selection operator (LASSO) and logistic regression analysis. A nomogram model was constructed using these predictive factors. The model evaluation included the C-index, calibration curves, the Hosmer-Lemeshow test, and DCA. Depression prevalence was 39.1% among diabetic patients. Multifactorial logistic regression identified significant predictors including gender, permanent address, self-perceived health status, presence of lung disease, arthritis, memory disorders, life satisfaction, cognitive function score, ADL score, and social activity. The nomogram model showed high consistency and accuracy, with AUC values of 0.802 for the training set and 0.812 for the validation set. Both sets showed good model fit with Hosmer-Lemeshow P > 0.05. Calibration curves showed significant consistency between the nomogram model and actual observations. ROC and DCA indicated that the nomogram had a good predictive performance. The nomogram developed in this study effectively assesses depression risk in diabetic patients, helping clinicians identify high-risk individuals. This tool could potentially improve patient outcomes.

Associations between insufficient sleep, skipping breakfast and depressive symptoms in children and adolescents: A school-based cross-sectional study in China

OBJECTIVE

Insufficient sleep and skipping breakfast are increasingly prevalent among children and adolescents. Both behaviors are associated with the onset of depression. This study aims to examine the independent and joint associations of these two behaviors with depressive symptoms, and investigate whether these associations varied by age or sex.

METHODS

The Center for Epidemiological Studies Depression Scale (CES-D) was used to evaluate the depressive symptoms. This cross-sectional study including 11,887 students aged 11-19 years using a stratified cluster, multistage sampling method in Ningbo, China. Multiple logistic regressions were conducted to evaluate the independent and joint association between insufficient sleep, skipping breakfast and depressive symptoms. Sensitivity analyses and stratified analyses by age and sex were performed using the same modelling strategies.

RESULTS

The overall prevalence of depressive symptoms was 15.27%. Skipping breakfast (Odds Ratio (OR) = 2.557, 95% Confidence Interval (CI) = 2.236-2.925) and insufficient sleep (OR = 1.547, 95%CI = 1.390-1.723) was independently associated with depressive symptoms. Compared to students with "sufficient sleep and breakfast every day", the OR was 4.385 (95%CI = 3.649-5.271) for those with "insufficient sleep and skipping breakfast". Meanwhile, the joint association was moderated by age group, with a more apparent association observed in the 11-15-year-old group compared to the 16-19-year-old group.

CONCLUSIONS

These findings indicated that insufficient sleep and skipping breakfast were independently and jointly associated with depressive symptoms. Insufficient sleep and skipping breakfast could be considered as two of the predictors of depression.

A review of the WHO strategy on traditional, complementary, and integrative medicine from the perspective of academic consortia for integrative medicine and health

Despite important progress in modern medicine, widely regarded as an indispensable foundation of healthcare in all highly advanced nations and regions, not all patients respond well to available treatments in biomedicine alone. Additionally, there are concerns about side effects of many medications and interventions, the unsustainable cost of healthcare and the low resolution of chronic non-communicable diseases and mental disorders whose incidence has risen in the last decades. Besides, the chronic stress and burnout of many healthcare professionals impairs the therapeutic relationship. These circumstances call for a change in the current paradigm and practices of biomedicine healthcare. Most of the world population (80%) uses some form of traditional, complementary, and integrative medicine (T&CM), usually alongside biomedicine. Patients seem equally satisfied with biomedicine and T&CM, but in the field of T&CM there are also many challenges, such as unsupported claims for safety and/or efficacy, contamination of herbal medicines and problems with regulation and quality standards. As biomedicine and T&CM seem to have different strengths and weaknesses, integration of both approaches may be beneficial. Indeed, WHO has repeatedly called upon member states to work on the integration of T&CM into healthcare systems. Integrative medicine (IM) is an approach that offers a paradigm for doing so. It combines the best of both worlds (biomedicine and T&CM), based on evidence for efficacy and safety, adopting a holistic personalized approach, focused on health. In the last decades academic health centers are increasingly supportive of IM, as evidenced by the foundation of national academic consortia for integrative medicine in Brazil (2017), the Netherlands (2018), and Germany (2024) besides the pioneering American consortium (1998). However, the integration process is slow and sometimes met with criticism and even hostility. The WHO T&CM strategies (2002-2005 and 2014-2023) have provided incipient guidance on the integration process, but several challenges are yet to be addressed. This policy review proposes several possible solutions, including the establishment of a global matrix of academic consortia for IM, to update and extend the WHO T&CM strategy, that is currently under review.

Depression and Anxiety in Patients With Polycystic Ovary Syndrome: A Cross-Sectional Study in Saudi Arabia

INTRODUCTION

Polycystic ovary syndrome (PCOS) is the most common endocrine disorder in females of childbearing age. It causes irregular menstruation, infertility, acne vulgaris, androgenic alopecia, and hirsutism. It is associated with a higher risk of mental disorders. This study aimed to determine the prevalence of depression and anxiety among females with PCOS and the factors associated with these disorders.

METHODS

This cross-sectional study was conducted between 15th January and 19th November 2023. We invited Saudi women to do an online survey. We sent the survey link privately, got their permission, and explained the research to ensure privacy and reliability. Females with a previous psychiatric history were excluded. Depression, Anxiety, and Stress Scale-21 Items (DASS-21) were used to assess depression, anxiety, and distress. One-way analysis of variance (ANOVA) and two-sample t-tests were used to identify determinants of depression and anxiety.

RESULTS

About 967 females participated, of whom 474 (49%) were married, and 358 (37%) had a healthy weight. About 367 (37.9%) of participants were diagnosed with PCOS, and it was associated with age (26-35 years), divorce, and family history of PCOS (p < 0.05). About 112 (30.5%) of PCOS patients experienced extremely severe depression, and 144 (39.2%) had extreme anxiety. People in the age range of 15-25 years had a higher risk of depression and stress (p < 0.05). Divorced participants faced a higher risk of depression, anxiety, and stress than singles (p < 0.05). Those advised on diet and healthy lifestyles exhibited a higher risk of depression, anxiety, and stress than those who were not (p < 0.05). Additionally, being overweight was associated with a higher risk of depression (p < 0.05).

CONCLUSION

The prevalence of PCOS was found to be 37.9% in our study, which may seem higher compared to the existing literature on PCOS. It is associated with being in the age group of 26-35 years, being divorced, and having a positive family history. Almost two-thirds of females with PCOS had depression, anxiety, and stress. Factors associated with the three disorders include divorce and management with diet and lifestyle modifications. Depression and stress were associated with young age. High body mass index (BMI) was associated with depression.

Menopause: Questions and Answers for Improving Homeopathic Clinical Practice

BACKGROUND

Medical attention for menopausal women is frequently delivered by health care providers (general practitioners, gynecologists or homeopathic physicians) who are not specialized in post-reproductive care. Homeopathy has been used for treating menopausal complaints for more than two centuries. Therefore, it is important to improve clinical knowledge in this field among homeopathic physicians. Nowadays, there is a special interest in the study of menopause-related chronic conditions due to the impact on women's quality of life. The aim of this review is to address the important key points of the menopause, clinical assessment, and available tests for evaluating menopausal women, as well as some general topics regarding homeopathic clinical practice for menopause.

METHODS AND RESULTS

A literature search regarding menopause and current guidelines and recommendations was performed. To be practical and concise, the information is presented in the form of questions and answers. Currently, there is an international classification of woman's reproductive aging that can be useful for clinical and research purposes in homeopathy. A comprehensive homeopathic approach is mandatory for evaluating women with a healthy menopause, but also for those experiencing co-morbidities. In an integrative health care system, several assessment resources can be incorporated into the homeopathic consultations. Clinical and laboratory examinations for detecting metabolic disorders (dyslipidemia, insulin resistance, diabetes and hypertension, among others), mood disorders, cognitive impairment and osteoporosis are available in many clinical settings. Screening for gynecological cancers is an international recommendation at this stage. All data obtained from homeopathic consultations would help to integrate well-documented case reports. This would give the possibility to generate hypotheses to design high-quality clinical research.

CONCLUSION

Improving homeopathic clinical practice for menopause is useful for both clinical and research purposes. The international recommendations for evaluating menopausal women should be incorporated in homeopathic clinical practice, mainly in clinical settings where homeopathy is integrated in outpatient services.

Examining the Use of Autonomous Systems for Home Health Support Using a Smart Mirror

The home is becoming a key location for healthcare delivery, including the use of technology driven by autonomous systems (AS) to monitor and support healthcare plans. Using the example of a smart mirror, this paper describes the outcomes of focus groups with people with multiple sclerosis (MS; n = 6) and people who have had a stroke (n = 15) to understand their attitudes towards the use of AS for healthcare in the home. Qualitative data were analysed using a thematic analysis. The results indicate that the use of such technology depends on the level of adaptability and responsiveness to users' specific circumstances, including their relationships with the healthcare system. A smart mirror would need to support manual entry, responsive goal setting, the effective aggregation of data sources and integration with other technology, have a range of input methods, be supportive rather than prescriptive in messaging, and give the user full control of their data. The barriers to its adoption include a perceived lack of portability and practicality, a lack of accessibility and inclusivity, a sense of redundancy, feeling overwhelmed by multiple technological devices, and a lack of trust in data sharing. These results inform the development and deployment of future health technologies based on the lived experiences of people with health conditions who require ongoing care.

Influence of Food Type on Human Psychological-Behavioral Responses and Crime Reduction

The purpose of this narrative review is to emphasize the importance of food consumption and meal selection on mental health and brain function, including psychological and behavioral reactions such as mood, loving relationships, violence, and criminal activity. Additionally, by being aware of the link between food and mental health, the community can be encouraged to make informed food choices in order to avoid unfavorable outcomes like criminality. Food behaviors are shifting significantly over the world. There are also significant changes in mood, sadness, happiness, and violence, as well as the spread of the variety and severity of mental diseases that lead to violent acts. Food intake and meal selection have evolved over the last ten years as the variety and accessibility of food options have become easier and more diverse. These modifications might have both beneficial and bad consequences. This article examines the relationship between food intake and its impact on marital satisfaction. The goal of this review is to support or refute the claim that food influences mood, love, or criminal behavior, or vice versa. Various diets can have an impact on one's mental health and brain, influencing psychological reactions and behavioral responses such as mood, loving relationships, violence, and even criminal activity. Food insecurity has been demonstrated in various studies to have a negative impact on health and psychological well-being, leading to despair, loss of happiness, marital conflict, and violence. For example, herbal extracts and flavonoids have the potential to improve gut microbiota and treat mood disorders. Understanding how the gut-brain axis communicates might help guide interventions for mood and cognitive function. Since the root of most diseases and behaviors is significantly related to the type of food consumed, this research addresses this issue in order to reduce the cost of treatment and prevention of crime and delinquency at the community level by consciously choosing the food consumed by the society. In other words, prevention is always better than cure.

Increased vigorous exercise and decreased sedentary activities are associated with decreased depressive symptoms in United States adults: Analysis of The National Health and Nutrition Examination Survey (NHANES) 2017-2020

Background and aims

Depression is a major public health concern that affects over 4% of the global population. Identification of new nonpharmacologic recommendations will help decrease the burden of disease. The overarching of this study was to examine the association between physical activity and depressive symptoms in a large sample of adults in the United States.

Methods

Presently, researchers utilized data from the National Health and Nutrition Examination Surveys (NHANES 2017-2020), which is a retrospective, complex, multistage, representative, and modern cohort of the United States. Adult patients ( > 18 years; N = 8091) with complete 9-item Patient Health Questionnaire (PHQ-9) information were included in the study. The PHQ-9 is a well-validated survey, per literature, scores ≥10 are considered to have clinically relevant depression. Univariable and multivariable logistic regression was fit for active and sedentary activities on clinical depression (PHQ-9 ≥ 10). The acquisition and analysis of the data within this study were approved by the National Center for Health Statistics Ethics Review Board.

Results

After adjusting for potential confounders like age, race, sex, and income, we found that increased vigorous exercise was associated with lower rates of depressive symptoms. Each extra day of vigorous exercise was associated with 11% decreased odds of depression (odd ratio [OR]: 0.89, confidence interval [CI]: 0.83-0.96, p < 0.01). Increased sedentary activity was associated with increased depression. Each extra hour per day of sedentary activity was associated with a 6% increase in odds of depression (OR: 1.06, (1.02-1.10, p < 0.01).

Conclusion

To conclude, exercise appears to be protective against depressive symptoms; however, further prospective studies are required to ascertain whether exercise causes decreased depressive symptoms.

Relationship between Mediterranean diet and depression in South Korea: the Korea National Health and Nutrition Examination Survey

Background

Several studies have shown that adherence to the Mediterranean diet is associated with a lower risk of depression; however, little is known about the Asian population. This study investigated the relationship between adherence to the Mediterranean diet and depression in a sample of the South Korean population.

Methods

In total, 5,849 adults from the 2014 and 2016 Korea National Health and Nutrition Examination Surveys were included in the study. The Mediterranean diet adherence was measured using a modified alternate Mediterranean diet score (mMED) developed to adjust for Korean dietary patterns. The mMED scores using the Food Frequency Questionnaire were divided into four categories (0-2, 3-4, 5-6, and 7-9 points). Subjects with depression were defined as having moderate-to-severe depressive symptoms using the Patient Health Questionnaire-9, with a cutoff value of 10. Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs). A subgroup analysis was performed based on sex.

Results

The results of logistic regression analysis indicated that individuals with higher mMED were 42-73% less likely to report depression compared to individuals with the lowest mMED [ORs (95% CIs) =0.58 (0.37-0.90), 0.50 (0.31-0.80), 0.27 (0.15-0.47)] after adjusting for socio-demographic and health-related variables. In women, individuals with mMED of 7-9 had 71% lower odds of depression [ORs (95% CIs): 0.29 (0.13-0.64)]. In men, individuals with mMED of 5-9 had 55% [ORs (95% CIs): 0.45 (0.23-0.91)] to 79% [ORs (95% CIs): 0.21 (0.08-0.57)] lower odds of depression.

Conclusion

This study suggests that adherence to the Mediterranean diet is inversely associated with depression in both men and women among Korean adults. This study provides evidence that a Mediterranean diet is crucial in preventing depressive symptoms in Asian populations.

Identifying and responding to depression in adolescents in primary care: A quality improvement response

The American Academy of Pediatrics (AAP) recommends adolescent depression screening and subsequent follow-up for those scoring at-risk. The current study assessed the outcomes of a Quality Improvement (QI) project that implemented these guidelines during annual well-child visits in a network of pediatric practices. This project used a two-stage screening process. First, adolescents were screened with the Pediatric Symptom Checklist (PSC-17). Second, adolescents who screened at-risk on the PSC-17 were asked to complete the Patient Health Questionnaire (PHQ-9). QI-participating providers received training on how to categorize the severity of their patient's depression based on PHQ-9 cut-off scores and clinical interview, and to implement and document appropriate options for follow-up. Patients in the QI group were significantly more likely to be screened with both the PSC-17 (93.8% vs. 89.1%, p < .001) and the PHQ-9 (54.8% vs. 16.4%, p < .001) compared to those in the non-QI group. Of the 80 adolescents in the QI group at-risk on the PSC-17 and with a completed PHQ-9, 65 (81.3%) received at least one type of referral for mental health, ranging from behavioral health services to lifestyle interventions. Findings support the feasibility of adolescent depression screening and referrals within pediatric primary care.

Quantification of the Effect of Vitamin E Intake on Depressive Symptoms in United States Adults Using Restricted Cubic Splines

Background

Depression is a rapidly increasing public health concern, affecting >4% of the global population. Identification of new nutritional recommendations is needed to help combat this increasing public health concern.

Objectives

The study aimed to examine the association between vitamin E intake and depressive symptoms.

Methods

A retrospective study was conducted by using a nationally representative, modern cohort (NHANES 2017-2020). Depressive symptoms were assessed through the validated 9-item Patient Health Questionnaire (PHQ-9). All adult patients ([≥18 y old], 8091 total adults) who answered the PHQ-9 and daily nutritional values questionnaires were selected for this study. Per literature, patients with PHQ-9 scores ≥10 were considered to have depressive symptoms. Univariable and multivariable logistic regressions were used to investigate the effect of vitamin E on depressive symptoms as ascertained by PHQ-9. The acquisition and analysis of the data within this study was approved by the NCHS ethics review board.

Results

After controlling for potential confounders (age, race, sex, and income), we observed that increased vitamin E (up until 15 mg/d) was associated with decreased rates of depressive symptoms, with each 5 mg increase in vitamin E associated with 13% decreased odds of symptoms of depression (OR: 0.87; 95% CI: 0.77, 0.97; P < 0.01). Additional intake above 15 mg/d, the daily recommended amount by the Food and Nutrition Board, did not change the odds of depression (OR: 1.05; 95% CI: 0.92, 1.16; P = 0.44).

Conclusions

Increased vitamin E intake (up to 15 mg/d) is associated with decreased depressive symptoms. Further prospective studies are required to ascertain whether increased vitamin E can protect against depressive symptoms and the specific therapeutic dose-response relationship.

Association of metabolic syndrome with depression in US adults: A nationwide cross-sectional study using propensity score-based analysis

Background

The association of metabolic syndrome (MetS) with depression has been previously reported; however, the results are ambiguous due to imbalanced confounding factors. Propensity score-based analysis is of great significance to minimize the impact of confounders in observational studies. Thus, the current study aimed to clarify the influence of MetS on depression incidence in the U.S. adult population by using propensity score (PS)-based analysis.

Methods

Data from 11,956 adults aged 20-85 years from the National Health and Nutrition Examination Survey (NHANES) database between 2005 and 2018 were utilized. Using 1:1 PS matching (PSM), the present cross-sectional study included 4,194 participants with and without MetS. A multivariate logistic regression model and three PS-based methods were applied to assess the actual association between MetS and depression incidence. Stratified analyses and interactions were performed based on age, sex, race, and components of MetS.

Results

After PSM, the risk of developing depression in patients with MetS increased by 40% in the PS-adjusted model (OR = 1.40, 95% confidence interval [CI]: 1.202-1.619, P < 0.001), and we could still observe a positive association in the fully adjusted model (OR = 1.37, 95% CI: 1.172-1.596, P < 0.001). Regarding the count of MetS components, having four and five conditions significantly elevated the risk of depression both in the PS-adjusted model (OR = 1.78, 95% CI: 1.341-2.016, P < 0.001 vs. OR = 2.11, 95% CI: 1.626-2.699, P < 0.001) and in the fully adjusted model (OR = 1.56, 95 CI%: 1.264-1.933, P < 0.001 vs. OR = 1.90, 95% CI: 1.458-2.486, P < 0.001). In addition, an elevation in MetS component count was associated with a significant linear elevation in the mean score of PHQ-9 (F =2.8356, P < 0.001). In the sensitivity analysis, similar conclusions were reached for both the original and weighted cohorts. Further interaction analysis revealed a clear gender-based difference in the association between MetS and depression incidence.

Conclusion

MetS exhibited the greatest influence on depression incidence in US adults, supporting the necessity of early detection and treatment of depressive symptoms in patients with MetS (or its components), particularly in female cases.

Evaluation of depression and obesity indices based on applications of ANOVA, regression, structural equation modeling and Taguchi algorithm process

Introduction

Depression and obesity are the main threat among women which have been considered by many research scholars in psychology studies. In their analysis for measuring and estimating obesity and depression they were involving statistical functions.

Methods

Regression, Analysis of Variance (ANOVA), and in the last two decades Structural Equation Modeling are the most familiar statistical methods among research scholars. Taguchi algorism process is one the statistical methods which mostly have been applying in engineering studies. In this study we are looking at two main objectives. The first one is to introduce Taguchi algorism process and apply it in a case study in psychology area. The second objective is challenging among four statistical techniques include ANOVA, regression, SEM, and Taguchi technique in a same data. To achieve those aims we involved depression and obesity indices with other familiar indicators contain socioeconomic, screen time, sleep time, and usage fitness and nutrition mobile applications.

Results and discussion

Outputs proved that Taguchi technique is able to analyze some correlations which are not achieved by applying ANOVA, regression, and SEM. Moreover, SEM has a special capability to estimate some hidden correlations which are not possible to evaluate them by using ANOVA, regression, and even Taguchi method. In the last, we found that some correlations are significant by SEM, however, in the same data with regression those correlation were not significant. This paper could be a warning for psychology research scholars to be more careful with involving statistical methods for measuring and estimating of their research variables.

The relationship between unhealthy lifestyle patterns and depressive symptoms among residents in Beijing, China: A community-based cross-sectional study

Introduction

Depression is a prevalent mental disorder that has an irreversible impact on people's health status. Unhealthy lifestyles are modifiable and influence mental health significantly. The purpose of this study was to explore the impact of different unhealthy lifestyles and their patterns on depressive symptoms.

Methods

The data for this study were obtained from the 2017 Community Diagnostic survey in Daxing District, Beijing. It was a cross-sectional study that included 6,252 samples. The Patient Health Questionnaire version 9 was used to measure depressive symptoms, and the self-administered questionaires were used to investigate five unhealthy lifestyles, including sleep deprivation, the inadequate intake of fruits and vegetables, physical inactivity, smoking, and excessive alcohol consumption. Respondents were assigned 1 point for each of their unhealthy lifestyles, and their overall unhealthy lifestyle scores were calculated. The total scores of unhealthy lifestyles ranged from 0 to 5. Descriptive analyses and Firth's logistic regression model were used to analyze the relationship between unhealthy lifestyle and depression symptoms.

Results

It was found that 12.1% of the participants had depressive symptoms. The respondents whose unhealthy lifestyle scores were 2 (OR1.45, 95%CI:1.01 to 2.12), 3 (OR2.29, 95%CI:1.57 to 3.42), 4 (OR 3.04, 95%CI:1.96 to 4.76), or 5 (OR4.08, 95%CI:2.09 to 7.78) were more likely to experience depressive symptoms in comparison with those whose unhealthy lifestyle scores were 0, and the OR increased with the unhealthy lifestyle scores. When the participants had 3 or more unhealthy lifestyles at the same time, different combination patterns of unhealthy lifestyles showed a different effect on depression. The OR was 3.01 (95%CI:1.45 to 5.95) for the combination of sleep deprivation-insufficient intake of fruit and vegetables-excessive alcohol consumption, and was 2.89 (95%CI:1.52 to 5.25) for the combination of sleep deprivation-insufficient intake of fruit and vegetables-physical inactivity-excessive alcohol consumption.

Discussion

The co-existence of multiple unhealthy behavioral lifestyles are associated with depressive symptoms. Among the five unhealthy lifestyles, sleep deprivation and the inadequate intake of fruits and vegetables may have a greater impact on depression.

Food habits and associated risk factors of depressed patients with cardiovascular disease

The present study was carried out to investigate food habits and associated risk factors of depressed patients with cardiovascular disease in Riyadh city, Saudi Arabia. Depressed and healthy females (n = 30 each) and males (n = 30 each) aged 18–65 years were involved in this study. Sociodemographic, anthropometric proxies, and nutritional status were evaluated. Cholesterol, triglycerides, high-density lipoprotein cholesterol (HDL-c), and low-density lipoprotein cholesterol (LDL-c) levels of respondents’ blood were determined. The respondents were varied according to demographic factors and anthropometric proxies. The majority of depressed males had higher values than healthy ones. The student t-test analysis showed that the average daily intake of fat especially saturated fat, by depressed respondents was higher than that of the healthy ones as well as the dietary requirement intake (DRI). The analysis of respondents’ blood showed that the number of depressed females had higher abnormal HDL-c than males, who were observed to have an abnormal level of cholesterol and triglycerides. The correlation of daily nutrient intake and depression duration, depression severity, and age showed that the nutrients responsible for the extension and severity of depression were intake of food rich in dietary fat. Factors including demographics daily nutrient intake appeared to be associated with depression.

The major risk factor for depression in the Chinese middle-aged and elderly population: A cross-sectional study

BACKGROUND

The number of patients suffering from depression is continuously increasing in China. Demographic characteristics, physical health levels, and individual lifestyles/healthy behaviors are associated with the severity of depression. However, the major risk factor for depression remains unclear.

MATERIALS AND METHODS

In this investigation, 16,512 patients were screened using the CHARLS (China Health and Retirement Longitudinal Study) database after being determined to be eligible based on the inclusion criteria. Depressive symptoms were evaluated through the CESD-10 (10-item Center for Epidemiological Studies Depression Scale). Consequently, various models were developed based on potential predictive factors, employing stepwise LR (Logistic Regression)/RF (Random Forests) models to examine the influence and weighting of candidate factors that affect depression.

RESULTS

Gender, residential address location, changes in health status following last interview, physical disabilities, chronic pain, childhood health status, ADL (activity of daily living), and social activity were all revealed to be independent risk factors for depression (p < 0.05) in this study. Depression has a synergic effect (across chronic pain and age groups). In comparison to other factors, RF results showed that chronic pain had a stronger impact on depression.

CONCLUSION

This preliminary study reveals that chronic pain is a major risk factor for depression.

Effects of a group-based lifestyle medicine for depression: A pilot randomized controlled trial

Given the growing evidence that a range of lifestyle factors are involved in the etiology of depression, a ‘lifestyle medicine’ approach can be potentially safe and cost-effective to prevent or treat depression. To examine the effects and acceptability of a group-based, integrative lifestyle medicine intervention as a standalone treatment for managing depressive symptoms, a pilot randomized controlled trial (RCT) was conducted in a Chinese adult population in 2018. Participants (n = 31) with PHQ-9 score above the cut-off of ≥ 10, which was indicative of moderate to severe depression, were recruited from the general community in Hong Kong and randomly assigned to lifestyle medicine group (LM group) or care-as-usual group (CAU group) in a ratio of 1:1. Participants in the LM group received 2-hour group sessions once per week for six consecutive weeks, which covered diet, exercise, mindfulness, psychoeducation, and sleep management. Linear mixed-effects model analyses showed that the LM group had a significant reduction in PHQ-9 scores compared to the CAU group at immediate posttreatment and 12-week posttreatment follow-up (d = 0.69 and 0.73, respectively). Moreover, there were significantly greater improvements in anxiety, stress, and insomnia symptoms (measured by DASS-21 and ISI) at all time points in the LM group (d = 0.42–1.16). The results suggests that our 6-week group-based, integrative lifestyle intervention program is effective in lowering depressive, anxiety, stress, and insomnia symptoms in the Chinese population. Further studies in clinical populations with a larger sample size and longer follow-up are warranted.

Eating habits and mental health among rugby players of the Peruvian pre-selection during the second quarantine due to the COVID-19 pandemic

Objectives:

Social isolation during the COVID-19 pandemic impacts the mental health and diet of populations.

Aim:

The aim of the study was to evaluate whether the eating habits and mental health status of the rugby players of the Peruvian pre-selection were affected by the second quarantine of the COVID-19 pandemic.

Methods:

A cross-sectional study was carried out through a pre-structured online survey in 74 players, 42 men (56.8%) and 32 women (43.2%). The mean age was 20.5 ± 4.4 years. Participants completed a validated food frequency questionnaire and depression, anxiety, and stress scale-21 (DASS-21).

Results:

58.1% of the respondents reported that their dietary intake remained the same or increased. 58.3% of the players experienced anxiety, among which 26.4% reported moderate and severe symptoms. A greater proportion of participants <20 years old reported depression compared to those ⩾20 years (68.6% vs 31.4%, p = 0.010). Those who reported inadequate food intake were more likely to report depressive symptoms (p = 0.006).

Conclusion:

These findings reaffirm the need to implement programs of psychological support and nutritional counseling among athletes to reduce negative symptoms and better face mental health and dietary challenges in these times of crisis.

The Relationship between Adherence to the Mediterranean Diet, Intake of Specific Foods and Depression in an Adult Population (45-75 Years) in Primary Health Care. A Cross-Sectional Descriptive Study

Background: The relationship between the quality of the diet and the adherence to the Mediterranean diet with the presence of persistent or recurrent depressive symptoms have been described. The objective of this study is to analyze the relationship between adherence to the Mediterranean diet and the intake of specific foods in primary care patients aged 45 to 75, having subclinical or major depression. The study also specifically analyzes this relationship in individuals suffering from chronic diseases. Methods: A cross-sectional descriptive study was conducted. 3062 subjects met the inclusion criteria from the EIRA study. Sociodemographic variables, clinical morbidity, depression symptomatology (PHQ-9) and adherence to Mediterranean diet (MEDAS) were collected. Results: Being female, younger, with a higher BMI, consuming more than 1 serving of red meat a day and drinking more than one carbonated or sugary drink daily, not consuming 3 servings of nuts a week and not eating 2 vegetables cooked in olive oil a week are predictors of having higher depressive symptomatology. Conclusions: Assessing the type of diet of patients presenting depressive symptoms and promoting adherence to a healthy diet is important, especially in patients with chronic diseases. However, depression is a very complex issue and the relationship between nutrition and depression must be further examined.

Association of Alcohol and Tobacco Consumption with Depression Severity in the Oldest Old. Results from the Age Different Old Age Cohort Platform

This study aimed to examine the association of alcohol and tobacco use with severity of depression in older age. Analyses were performed on a pooled data set (n = 3724) from two German old-age cohort studies (LEILA 75+, 6 follow-ups and AgeCoDe/AgeQualiDe, 9 follow-ups). Depressive symptoms were assessed via two screening scales for depression (CES-D and GDS-15) which were harmonized for pooled analysis. A mixed-effects linear regression model for the total sample and additional stratified models for men and women were used. Smoking at baseline was significantly associated with a higher level of depression severity (β = 0.142, 95% CI: 0.051–0.233, p = 0.002), whereas drinking was significantly associated with a decreased level of depression (β = −0.069, 95% CI: −0.119–−0.021, p = 0.005). Concurrent substance use at baseline increased longitudinal depression severity (β = 0.193, 95% CI: 0.011–0.375, p = 0.037). Analyses stratified by gender showed a significant inverse association between drinking and depressive symptoms in men (β = −0.138, 95% CI: −0.231–−0.045, p = 0.004), but not in women (β = −0.060, 95% CI: −0.120–0.001, p = 0.052). Given the burden of major depression, it is important that health care providers, especially primary care physicians, assess and monitor lifestyle factors, even at older ages.

Latent alcohol use patterns and their link to depressive symptomatology in medical care patients

AIMS

To investigate latent patterns of alcohol use and bingeing by gender and their association with depressive symptom severity and individual depressive symptoms.

DESIGN

Cross-sectional data were collected from January 2017 to March 2018 as part of a joint screening recruiting for different intervention studies.

SETTING

Ambulatory practices and general hospitals from three sites in Germany.

PARTICIPANTS

A total of 5208 male and 5469 female proactively recruited alcohol users aged 18-64 years.

MEASUREMENTS

Frequency and typical quantity of alcohol use, frequency of bingeing, alcohol-related problems (assessed by the Alcohol Use Disorder Identification Test); depressive symptom severity, individual depressive symptoms (assessed with the Patient Health Questionnaire-8); and socio-demographics and health-related variables.

FINDINGS

Latent categorical analysis identified six patterns of alcohol use, with the majority of patients engaging in 'light use plus no or occasional bingeing' (males: 41.85%; females: 64.04%), followed by 'regular use plus occasional bingeing' (males: 34.03%; females: 16.17%). Multinomial logistic regression analyses (three-step approach with correction for classification uncertainty, as implemented in the Mplus R3STEP command) controlling for socio-demographics and health-related variables revealed that severity of depressive symptoms was positively associated with 'frequent use plus frequent bingeing' when compared with 'light use plus no or occasional bingeing' [relative risk ratio (RRR)_male  = 1.07, 95% confidence interval (CI) = 1.03-1.11; RRR_female  = 1.09, 95% CI = 1.04-1.14]. Severity of depressive symptoms was negatively associated with 'regular use plus occasional bingeing' for males (RRR_male  = 0.98, 95% CI = 0.95-1.00) and positively with 'occasional use plus occasional bingeing' for females (RRR_female  = 1.03, 95% CI = 1.01-1.05) when compared with 'light use plus no or occasional bingeing'. Individual depressive symptoms were differentially associated with alcohol use patterns, with depressed mood, poor appetite or overeating, feelings of worthlessness or guilt and psychomotor agitation or retardation, being especially pronounced in the 'frequent use plus frequent bingeing' class (RRRs_male  = 1.72-2.36; RRRs_female  = 1.99-2.17).

CONCLUSIONS

Patterns of 'frequent alcohol use plus frequent bingeing' and 'occasional alcohol use plus occasional bingeing' appear to have positive associations with depression when compared with 'light alcohol use plus no or occasional bingeing'.

'An Apple a Day'?: Psychiatrists, Psychologists and Psychotherapists Report Poor Literacy for Nutritional Medicine: International Survey Spanning 52 Countries

Nutritional interventions have beneficial effects on certain psychiatric disorder symptomatology and common physical health comorbidities. However, studies evaluating nutritional literacy in mental health professionals (MHP) are scarce. This study aimed to assess the across 52 countries. Surveys were distributed via colleagues and professional societies. Data were collected regarding self-reported general nutrition knowledge, nutrition education, learning opportunities, and the tendency to recommend food supplements or prescribe specific diets in clinical practice. In total, 1056 subjects participated in the study: 354 psychiatrists, 511 psychologists, 44 psychotherapists, and 147 MHPs in-training. All participants believed the diet quality of individuals with mental disorders was poorer compared to the general population (p < 0.001). The majority of the psychiatrists (74.2%) and psychologists (66.3%) reported having no training in nutrition. Nevertheless, many of them used nutrition approaches, with 58.6% recommending supplements and 43.8% recommending specific diet strategies to their patients. Only 0.8% of participants rated their education regarding nutrition as 'very good.' Almost all (92.9%) stated they would like to expand their knowledge regarding 'Nutritional Psychiatry.' There is an urgent need to integrate nutrition education into MHP training, ideally in collaboration with nutrition experts to achieve best practice care.

Postpartum depression symptoms in survey-based research: a structural equation analysis

BACKGROUND

Since the last decade, postpartum depression (PPD) has been recognized as a significant public health problem, and several factors have been linked to PPD. Mothers at risk are rarely undetected and underdiagnosed. Our study aims to determine the factors leading to symptoms of depression using Structural Equation Modeling (SEM) analysis. In this research, we introduced a new framework for postpartum depression modeling for women.

METHODS

We structured the model of this research to take into consideration the Malaysian culture in particular. A total of 387 postpartum women have completed the questionnaire. The symptoms of postpartum depression were examined using the Edinburgh Postnatal Depression Scale (EPDS), and they act as a dependent variable in this research model.

RESULTS

Four hundred fifty mothers were invited to participate in this research. 86% of the total distributed questionnaire received feedback. The majority of 79.6% of respondents were having depression symptoms. The highest coefficients of factor loading analysis obtained in every latent variable indicator were income (β = 0.77), screen time (β = 0.83), chips (β = 0.85), and anxiety (β = 0.88). Lifestyle, unhealthy food, and BMI variables were directly affected by the dependent variable. Based on the output, respondents with a high level of depression symptoms tended to consume more unhealthy food and had a high level of body mass indexes (BMI). The highest significant impact on depression level among postpartum women was unhealthy food consumption. Based on our model, the findings indicated that 76% of the variances stemmed from a variety of factors: socio-demographics, lifestyle, healthy food, unhealthy food, and BMI. The strength of the exogenous and endogenous variables in this research framework is strong.

CONCLUSION

The prevalence of postpartum women with depression symptoms in this study is considerably high. It is, therefore, imperative that postpartum women seek medical help to prevent postpartum depressive symptoms from worsening.

Development of Digitally Obtainable 10-Year Risk Scores for Depression and Anxiety in the General Population

The burden of depression and anxiety in the world is rising. Identification of individuals at increased risk of developing these conditions would help to target them for prevention and ultimately reduce the healthcare burden. We developed a 10-year predictive algorithm for depression and anxiety using the full cohort of over 400,000 UK Biobank (UKB) participants without pre-existing depression or anxiety using digitally obtainable information. From the initial 167 variables selected from UKB, processed into 429 features, iterative backward elimination using Cox proportional hazards model was performed to select predictors which account for the majority of its predictive capability. Baseline and reduced models were then trained for depression and anxiety using both Cox and DeepSurv, a deep neural network approach to survival analysis. The baseline Cox model achieved concordance of 0.7772 and 0.7720 on the validation dataset for depression and anxiety, respectively. For the DeepSurv model, respective concordance indices were 0.7810 and 0.7728. After feature selection, the depression model contained 39 predictors and the concordance index was 0.7769 for Cox and 0.7772 for DeepSurv. The reduced anxiety model, with 53 predictors, achieved concordance of 0.7699 for Cox and 0.7710 for DeepSurv. The final models showed good discrimination and calibration in the test datasets. We developed predictive risk scores with high discrimination for depression and anxiety using the UKB cohort, incorporating predictors which are easily obtainable via smartphone. If deployed in a digital solution, it would allow individuals to track their risk, as well as provide some pointers to how to decrease it through lifestyle changes.

Multiple lifestyle factors and depressed mood: a cross-sectional and longitudinal analysis of the UK Biobank (N = 84,860)

BACKGROUND

There is now evolving data exploring the relationship between depression and various individual lifestyle factors such as diet, physical activity, sleep, alcohol intake, and tobacco smoking. While this data is compelling, there is a paucity of longitudinal research examining how multiple lifestyle factors relate to depressed mood, and how these relations may differ in individuals with major depressive disorder (MDD) and those without a depressive disorder, as 'healthy controls' (HC).

METHODS

To this end, we assessed the relationships between 6 key lifestyle factors (measured via self-report) and depressed mood (measured via a relevant item from the Patient Health Questionnaire) in individuals with a history of or current MDD and healthy controls (HCs). Cross-sectional analyses were performed in the UK Biobank baseline sample, and longitudinal analyses were conducted in those who completed the Mental Health Follow-up.

RESULTS

Cross-sectional analysis of 84,860 participants showed that in both MDD and HCs, physical activity, healthy diet, and optimal sleep duration were associated with less frequency of depressed mood (all p < 0.001; ORs 0.62 to 0.94), whereas screen time and also tobacco smoking were associated with higher frequency of depressed mood (both p < 0.0001; ORs 1.09 to 1.36). In the longitudinal analysis, the lifestyle factors which were protective of depressed mood in both MDD and HCs were optimal sleep duration (MDD OR = 1.10; p < 0.001, HC OR = 1.08; p < 0.001) and lower screen time (MDD OR = 0.71; p < 0.001, HC OR = 0.80; p < 0.001). There was also a significant interaction between healthy diet and MDD status (p = 0.024), while a better-quality diet was indicated to be protective of depressed mood in HCs (OR = 0.92; p = 0.045) but was not associated with depressed mood in the MDD sample. In a cross-sectional (OR = 0.91; p < 0.0001) analysis, higher frequency of alcohol consumption was surprisingly associated with reduced frequency of depressed mood in MDD, but not in HCs.

CONCLUSIONS

Our data suggest that several lifestyle factors are associated with depressed mood, and in particular, it calls into consideration habits involving increased screen time and a poor sleep and dietary pattern as being partly implicated in the germination or exacerbation of depressed mood.

Are remitted affective disorders and familial risk of affective disorders associated with metabolic syndrome, inflammation and oxidative stress? - a monozygotic twin study

BACKGROUND

Metabolic syndrome (MetS) is associated with reduced life expectancy in patients with affective disorders, however, whether MetS also plays a role before the onset of affective disorder is unknown. We aimed to investigate whether MetS, inflammatory markers or oxidative stress act as risk factors for affective disorders, and whether MetS is associated with increased inflammation and oxidative stress.

METHODS

We conducted a high-risk study including 204 monozygotic (MZ) twins with unipolar or bipolar disorder in remission or partial remission (affected), their unaffected co-twins (high-risk) and twins with no personal or family history of affective disorder (low-risk). Metabolic Syndrome was ascertained according to the International Diabetes Federation (IDF) criteria. Inflammatory markers and markers of oxidative stress were analyzed from fasting blood and urine samples, respectively.

RESULTS

The affected and the high-risk group had a significantly higher prevalence of MetS compared to the low-risk group (20% v. 15% v. 2.5%, p = 0.0006), even after adjusting for sex, age, smoking and alcohol consumption. No differences in inflammatory and oxidative markers were seen between the three groups. Further, MetS was associated with alterations in inflammatory markers, and oxidative stress was modestly correlated with inflammation.

CONCLUSION

Metabolic syndrome is associated with low-grade inflammation and may act as a risk factor and a trait marker for affective disorders. If confirmed in longitudinal studies, this suggests the importance of early intervention and preventive approaches targeted towards unhealthy lifestyle factors that may contribute to later psychopathology.

Metabolic syndrome associated with the onset of depressive symptoms among women but not men in rural Northeast China

BACKGROUND

The present study aimed to assess the cumulative incidence of major depressive disorder (MDD) among rural Chinese residents. Furthermore, we intended to estimate whether metabolic syndrome (MetS) was associated with MDD by both cross-sectional and prospective analysis.

METHOD

Data of 11,675 residents (46.3% men) was used for cross-sectional analysis. The residents were followed up with median 4.66 years. MDD was diagnosed using the Patient Health Questionnaire-9 (PHQ-9). The data of 2796 individuals without any depressive symptoms was used for prospective analysis.

RESULT

With median of 4.66 years follow-up, the cumulative incidence of MDD among rural residents was 3.9%. Women had significantly higher cumulative incidence of MDD than men (5.3% for women and 2.9% for men, P < 0.01). The incidence of MDD was significantly higher among women with MetS (7.3% vs. 3.8%, P < 0.001), hypertriglyceridemia (7.0% vs. 4.5%, P < 0.001) or elevated blood pressure (6.4% vs. 3.4%, P < 0.001) at baseline compared with those without them. There was no incidence difference of MDD among men with or without baseline metabolic disorders. In prospective study, after adjusting possible confounders, baseline MetS was associated with higher incidence of MDD (OR: 1.82, 95%CI: 1.01, 3.27, P = 0.045) in women but not men (OR: 1.84, 95%CI: 0.88, 3.83, P = 0.104).

CONCLUSION

Cumulative incidence of MDD in rural China was higher among women than among men. Baseline MetS was associated with higher cumulative incidence of MDD in women but not men. More concern should be put on women with MetS in case of onset depressive symptom in future.

Evidence of the Importance of Dietary Habits Regarding Depressive Symptoms and Depression

BACKGROUND

Mental illness is one of the fastest rising threats to public health, of which depression and anxiety disorders are increasing the most. Research shows that diet is associated with depressive symptoms or depression (depression).

AIM

This study aimed to investigate the diets impact on depression, by reviewing the scientific evidence for prevention and treatment interventions.

METHOD

A systematic review was conducted, and narrative synthesis analysis was performed.

RESULT

Twenty scientific articles were included in this review. The result showed that high adherence to dietary recommendations; avoiding processed foods; intake of anti-inflammatory diet; magnesium and folic acid; various fatty acids; and fish consumption had a depression. Public health professionals that work to support and motivate healthy eating habits may help prevent and treat depression based on the evidence presented in the results of this study. Further research is needed to strengthen a causal relationship and define evidence-based strategies to implement in prevention and treatment by public healthcare.

German recommendations for physical activity and physical activity promotion in adults with noncommunicable diseases

Background

Existing physical activity guidelines predominantly focus on healthy age-stratified target groups. The objective of this study was to develop evidence-based recommendations for physical activity (PA) and PA promotion for German adults (18–65 years) with noncommunicable diseases (NCDs).

Methods

The PA recommendations were developed based on existing PA recommendations. In phase 1, systematic literature searches were conducted for current PA recommendations for seven chronic conditions (osteoarthrosis of the hip and knee, chronic obstructive pulmonary disease, stable ischemic heart disease, stroke, clinical depression, and chronic non-specific back pain). In phase 2, the PA recommendations were evaluated on the basis of 28 quality criteria, and high-quality recommendations were analysed. In phase 3, PA recommendations for seven chronic conditions were deducted and then synthesised to generate generic German PA recommendations for adults with NCDs. In relation to the recommendations for PA promotion, a systematic literature review was conducted on papers that reviewed the efficacy/effectiveness of interventions for PA promotion in adults with NCDs.

Results

The German recommendations for physical activity state that adults with NCDs should, over the course of a week, do at least 150 min of moderate-intensity aerobic PA, or 75 min of vigorous-intensity aerobic PA, or a combination of both. Furthermore, muscle-strengthening activities should be performed at least twice a week. The promotion of PA among adults with NCDs should be theory-based, specifically target PA behaviour, and be tailored to the respective target group. In this context, and as an intervention method, exercise referral schemes are one of the more promising methods of promoting PA in adults with NCDs.

Conclusion

The development of evidence-based recommendations for PA and PA promotion is an important step in terms of the initiation and implementation of actions for PA-related health promotion in Germany. The German recommendations for PA and PA promotion inform adults affected by NCDs and health professionals on how much PA would be optimal for adults with NCDs. Additionally, the recommendations provide professionals entrusted in PA promotion the best strategies and interventions to raise low PA levels in adults with NCDs. The formulation of specific PA recommendations for adults with NCDs and their combination with recommendations on PA promotion is a unique characteristic of the German recommendations.

Dietary seaweed intake and depressive symptoms in Japanese adults: a prospective cohort study

Background

This prospective cohort study aimed to investigate the association between daily seaweed intake and depressive symptoms.

Methods

In a prospective study conducted between 2008 and 2011, 500 Japanese adult employees aged 20–74 years participated and were included in the final analysis. Consumption of seaweed was assessed using a brief self-administered diet history questionnaire, and changes in seaweed consumption were divided into three categories (decreased, unchanged, and increased). Depressive symptoms were assessed using a Japanese version of the Self-Rating Depression Scale (SDS). Depressive symptoms were defined as an SDS score of ≥50 in the present study.

Results

At the 3-year follow-up, 46 participants (9.2%) showed depressive symptoms. Multivariate analysis showed that baseline seaweed intakes were not significantly associated with the incidence of depressive symptoms (p for trend = 0.501). Conversely, odds ratios (95% CI) for depressive symptoms were lower in the participants who had higher seaweed intake than in those who had lower seaweed intake (decreased, 1.00; unchanged, 0.32 [0.13–0.81]; increased, 0.34 [0.13–0.88]; p for trend = 0.032) after adjusting for confounding factors.

Conclusions

This study revealed a relationship between higher seaweed intake and a lower incidence of depressive symptoms in Japanese adults.

Chronic medical conditions and metabolic syndrome as risk factors for incidence of major depressive disorder: A longitudinal study based on 4.7 million adults in South Korea

BACKGROUND

The assessment of comorbid physical illness and metabolic or cardiovascular risk factors as potential risk factors for onset of major depressive disorder (MDD) is crucial. We aimed to investigate potential risk factors for the development of MDD among individuals with chronic medical conditions and metabolic and behavioral risk factors using a large population-based retrospective cohort from the data of the National Health Insurance Service (NHIS) in South Korea.

METHODS

The population-based retrospective cohort included data from 2,370,815 adults (age ≥20 years) diagnosed with MDD between January 1, 2010, and December 31, 2016 and age- and gender-matched 2,370,815 healthy controls obtained from the claims data of the NHIS. The data of the regular health checkup provided by the NHIS were also included (age ≥40 years). Logistic regression analyses were performed to investigate the potential risk factors for the incidence of MDD.

RESULTS

Chronic medical conditions such as Parkinson's disease (odds ratio [OR] = 7.808, 95% confidence interval [CI] = 7.517-8.11), epilepsy (OR = 6.119, 95% CI = 6.019-6.22), multiple sclerosis (OR = 5.532, 95% CI = 4.976-6.151), Huntington's disease (OR = 5.387, 95% CI = 3.258-8.909), migraine (OR = 4.374, 95% CI = 4.341-4.408), stroke (OR = 4.074, 95% CI = 4.032-4.117), and cancer; metabolic syndrome (OR = 1.049, 95% CI = 1.041-1.057) and several of its components including central obesity, elevated fasting blood glucose and triglyceride levels, and reduced high-density lipoprotein level; and cigarette smoking, frequent alcohol consumption, and low physical activity are potential risk factors for the development of MDD.

CONCLUSION

Our results may support previous evidence on the association between physical conditions and the incidence of MDD as reported by individual population-based studies with modest sample sizes.

Adherence to the dietary approaches to stop hypertension (DASH) dietary pattern and mental health in Iranian university students

PURPOSE

Examining the association between adherence to the dietary approaches to stop hypertension (DASH) dietary pattern and mental health in Iranian university students.

METHODS

This cross-sectional study was conducted among 240 university students (mean age 21.5 years; 86.7% female). Mental health was evaluated using validated Persian versions of the 12-item general health questionnaire (GHQ-12) and the 21-item depression, anxiety, and stress scale (DASS-21). The lower the subjects' scores on these questionnaires, the better their mental health. Usual past-year dietary intakes were assessed by a validated 168-item semi-quantitative food frequency questionnaire. The DASH score was computed based on energy-adjusted intakes of eight major dietary components emphasized or minimized in the DASH pattern. The higher the DASH score of a subject, the greater his/her adherence to the DASH pattern.

RESULTS

The Pearson's correlation coefficients of DASH score with GHQ-12 total score, DASS-21 total score, and DASS-21 depression, anxiety, and stress subscale scores were - 0.431, - 0.441, - 0.434, - 0.325, and - 0.408, respectively (all P < 0.001). Compared to those in the lowest tertile, subjects in the highest tertile of DASH score had lower means of GHQ-12 total score (mean difference - 4.6; P < 0.001), DASS-21 total score (mean difference - 9.1; P < 0.001), and DASS-21 depression, anxiety, and stress subscale scores (mean differences for depression, anxiety, and stress - 3.6, - 2.4, and - 3.2, respectively; all P < 0.001).

CONCLUSIONS

The findings indicate that greater adherence to the DASH dietary pattern is associated with better mental health in Iranian university students. However, prospective studies of sufficient methodological quality are needed to confirm these findings.

Preventing the recurrence of depression with a Mediterranean diet supplemented with extra-virgin olive oil. The PREDI-DEP trial: study protocol

BACKGROUND

The role of dietary patterns in the prevention of unipolar depression has been analyzed in several epidemiological studies. The primary aims of this study are to determine the effectiveness of an extra-olive oil-enriched Mediterranean diet in reducing the recurrence of depression and improving the symptoms of this condition.

METHODS

Multicenter, two-arm, parallel-group clinical trial. Arm 1, extra-virgin olive oil Mediterranean diet; Arm 2, control group without nutritional intervention. Dieticians are in charge of the nutritional intervention and regular contact with the participants. Contacts are made through our web platform ( https://predidep.es/participantes/ ) or by phone. Recurrence of depression is assessed by psychiatrists and clinical psychologists through clinical evaluations (semi-structured clinical interviews: Spanish SCID-I). Depressive symptoms are assessed with the Beck Depression Inventory. Information on quality of life, level of physical activity, dietary habits, and blood, urine and stool samples are collected after the subject has agreed to participate in the study and once a year.

DISCUSSION

To the best of our knowledge, the PREDI-DEP trial is the first ongoing randomized clinical trial designed to assess the role of the Mediterranean diet in the prevention of recurrent depression. It could be a cost-effective approach to avoid recurrence and improve the quality of life of these patients.

TRIAL REGISTRATION

The study has been prospectively registered in the U.S. National Library of Medicine ( https://clinicaltrials.gov ) with NCT number: NCT03081065.

Fish consumption and risk of depression: Epidemiological evidence from prospective studies

INTRODUCTION

The evidence on the association of fish or omega-3 fatty acid intake with depression is inconsistent. We conducted a systematic review and meta-analysis of prospective cohort studies to examine this association.

METHODS

Database searches in PubMed and Web of Science were conducted to identify relevant articles published up to April 2018, which were supplemented by hand-searches of reference lists of the retrieved articles. Using a random-effects model, we calculated pooled relative risks (RR) of depression in relation to consumption of fish or omega-3 fatty acids after adjusting for potential confounders.

RESULTS

A total of 10 prospective cohort studies with 6672 cases of depression among 109 764 participants were included in the meta-analysis. The pooled adjusted RR of depression for the highest vs lowest category of fish consumption was 0.89 (95% CI: 0.80-0.99). The pooled adjusted RR of depression for the highest vs lowest category of omega-3 intake was 0.87 (95% CI: 0.74-1.04). In the dose-response analysis, the pooled adjusted RRs for an increment of 1 serving/week of fish consumption and 500 mg/day of omega-3 fatty acid intake were 0.89 (95% CI: 0.75-1.04) and 0.99 (95% CI: 0.94-1.04), respectively. There was no evidence of heterogeneity.

DISCUSSION

Our findings provide quantitative evidence for a modest inverse association between fish or omega-3 fatty acid intake and risk of depression, especially in women. These findings from the observational studies need to be confirmed through large randomized clinical trials of fish consumption or omega-3 fatty acid intake and risk of depression.

Depression literacy and help-seeking in Australian police

OBJECTIVE

To assess depression literacy, help-seeking and help-offering to others in members of the police force in the state of Victoria, Australia.

METHODS

All staff in police stations involved in a cluster randomised controlled trial of an integrated workplace mental health intervention were invited to participate. Survey questions covered sociodemographic and employment information, recognition of depression in a vignette, stigma, treatment beliefs, willingness to assist co-workers with mental health problems, help-giving and help-seeking behaviours, and intentions to seek help. Using the baseline dataset associated with the trial, the paper presents a descriptive analysis of mental health literacy and helping behaviours, comparing police station leaders and lower ranks.

RESULTS

Respondents were 806 staff, comprising 618 lower-ranked staff and 188 leaders. Almost 84% of respondents were able to correctly label the problem described in the vignette. Among those who had helped someone with a mental health problem, both lower ranks and leaders most commonly reported 'talking to the person' although leaders were more likely to facilitate professional help. Leaders' willingness to assist the person and confidence in doing so was very high, and over 80% of leaders appropriately rated police psychologists, general practitioners, psychologists, talking to a peer and contacting welfare as helpful. However, among both leaders and lower ranks with mental health problems, the proportion of those unlikely to seek professional help was greater than those who were likely to seek it.

CONCLUSION

Knowledge about evidence-based interventions for depression was lower in this police sample than surveys in the general population, pointing to the need for education and training to improve mental health literacy. Such education should also aim to overcome barriers to professional help-seeking. Interventions that aim to improve mental health literacy and help-seeking behaviour appear to be suitable targets for better protecting police member mental health.

Trends in the prevalence of psychological distress and the use of mental health services from 2007 to 2016 in Japan

BACKGROUND

Little is known regarding trends of psychological distress and use of mental health services in Japan during recent years.

METHODS

This study examined trends in severe and moderate psychological distress and the use of mental health services among adults (≥18 years old), using the Comprehensive Survey of Living Conditions in Japan from 2007, 2010, 2013, and 2016 (Total N = 2,159,005, all survey years combined). We defined a score of ≥13 on Kessler Psychological Distress Scale (K6) as severe distress and a K6 score between 5 and 12 as moderate distress. Age- and sex-specific trends of psychological distress and the use of mental health services were also examined.

RESULTS

As compared with 2007, those with severe distress slightly increased in 2016 (4.01%-4.15%, p = 0.02) while those with moderate distress remained mostly unchanged (24.61%-24.69%, p = 0.61). The use of mental health services steadily increased in this decade for both with severe distress (11.95%-15.76%, p < 0.01) and with moderate distress (2.60%-3.56%, p < 0.01). The prevalence of severe distress among women aged 25-29 years old was highest in 2016 among all the age groups although the use of mental health services was not particularly high among women in this age group.

LIMITATIONS

Cross-sectional nature of the data did not allow us to examine the causal relationship between psychological distress and the use of mental health services.

CONCLUSIONS

In spite of an observed increase in the use of mental health services, the prevalence of psychological distress slightly increased. Further studies are necessary to identify sources of treatment gap especially for vulnerable demographic subgroups.

Association of depression with body mass index classification, metabolic disease, and lifestyle: A web-based survey involving 11,876 Japanese people

Body mass index (BMI) and lifestyle-related physical illnesses have been implicated in the pathology of depression. We aimed to investigate the association of depression wih BMI classification (i.e., underweight, normal, overweight, and obese), metabolic disease, and lifestyle using a web-based survey in a large cohort. Participants were 1000 individuals who have had depression (mean age: 41.4 ± 12.3 years, 501 men) and 10,876 population-based controls (45.1 ± 13.6 years, 5691 men). The six-item Kessler scale (K6) test was used as a psychological distress scale. Compared to in the controls, obesity and hyperlipidemia were more common and frequency of a snack or night meal consumption was higher, whereas frequencies of breakfast consumption and vigorous and moderate physical activities were lower in the patients. K6 test scores were higher for underweight or obese people compared to normal or overweight people. A logistic regression analysis showed that the K6 test cut-off score was positively associated with being underweight, hyperlipidemia, and the frequency of a snack or night meal consumption, whereas it was negatively associated with the frequency of breakfast consumption in the patients. Logistic regression analyses showed that self-reported depression was positively associated with metabolic diseases and the frequency of a snack or night meal consumption, whereas it was negatively associated with the frequency of breakfast consumption. The observed associations of depression with BMI classification, metabolic disease, and lifestyle suggest that lifestyle and related physical conditions are involved in at least a portion of depressive disorders.

Focus on fatty acids in the neurometabolic pathophysiology of psychiatric disorders

Continuous research into the pathophysiology of psychiatric disorders, such as major depressive disorder (MDD), posttraumatic stress disorder (PTSD), and schizophrenia, suggests an important role for metabolism. This narrative review will provide an up-to-date summary of how metabolism is thought to be involved in the pathophysiology of these psychiatric disorders. We will focus on (I) the important role of fatty acids in these metabolic alterations, (II) whether fatty acid alterations represent epiphenomena or risk factors, and (III) similarities and dissociations in fatty acid alterations between different psychiatric disorders. (Historical) epidemiological evidence links fatty acid intake to psychiatric disorder prevalence, corroborated by altered fatty acid concentrations measured in psychiatric patients. These fatty acid alterations are connected with other concomitant pathophysiological mechanisms, including biological stress (hypothalamic-pituitary-adrenal (HPA)-axis and oxidative stress), inflammation, and brain network structure and function. Metabolomics and lipidomics studies are underway to more deeply investigate this complex network of associated neurometabolic alterations. Supplementation of fatty acids as disease-modifying nutraceuticals has clinical potential, particularly add-on eicosapentaenoic acid (EPA) in depressed patients with markers of increased inflammation. However, by interpreting the observed fatty acid alterations as partly (mal)adaptive phenomena, we attempt to nuance translational expectations and provide new clinical applications for these novel neurometabolic insights, e.g., to predict treatment response or depression recurrence. In conclusion, placing fatty acids in context can contribute to further understanding and optimized treatment of psychiatric disorders, in order to diminish their overwhelming burden of disease.

Areca nut chewing is associated with common mental disorders: a population-based study

INTRODUCTION

Forms of habitual substance use including cigarette smoking and alcohol consumption have been documented as risk factors of common mental disorders (CMDs). The effects of areca nut chewing on biophysiological tests, metabolic syndromes, and liver function have been reported previously; however, the relationship between areca nut chewing and CMDs remains unclear. This study examined the association between areca nut chewing and CMDs and explored the relationships between areca nut chewing and biophysiological indicators.

METHODS

A total of 4477 community dwellers who had enrolled in a cohort study and participated in health examinations in 2 consecutive years were selected for analysis in the present study. The community cohort was established in northern Taiwan during 2006-2012. The Chinese health questionnaire (CHQ-12) was used as a self-reported screening instrument to assess the potential for developing psychotic mental disorders (CHQ-12 score ≥ 3) among the community residents. Biophysiological tests performed 1 year before CMD assessment were analyzed to examine the causal pathways between areca nut chewing and CMDs. Multiple logistic regression and stratified analyses were performed.

RESULTS

A total of 18.23% of the participants were diagnosed as having CMDs. Factors including areca nut chewing [odds ratio (OR) 1.828; 95% confidence interval (CI) 1.165-2.869], sex (women; OR 1.828; 95% CI 1.165-2.869), age (30-49; OR 1.302; 95% CI 1.073-1.579), and socioeconomic status (lower status; OR 1.373; 95% CI 1.084-1.738) were associated with CMDs in a multiple logistic regression model. Areca nut chewers exhibited significantly more triglycerides (220.04 vs. 124.16 mg/dL) and white blood cells (65.17 102/μL vs. 60.36 102/μL) and significantly higher diastolic blood pressure (78.83 vs. 75.84 mmHg) and glutamic oxaloacetic transaminase (30.30 vs. 25.45 U/L) than did the controls.

CONCLUSIONS

This study demonstrated the association between areca nut chewing and CMDs and its effects on biophysiological tests in a community-based population in Taiwan. The findings suggest the existence of mechanistic effects of areca nut chewing on CMDs exerted through multiple pathways that may interact with pre-existing biophysiological abnormalities. Lifestyle variables should be considered for the prevention and management of mental disorders in the future.

Predictive value of homocysteine for depression after acute coronary syndrome

We investigated roles of plasma homocysteine and MTHFR gene in relation to risks and treatment responses of depression in ACS. A sample of 969 patients with recent ACS were recruited and 711 followed 1 year later. In addition, of 378 baseline participants with depressive disorder, 255 were randomized to a 24-week double blind trial of escitalopram (N = 127) or placebo (N = 128). A higher homocysteine concentration was independently associated with prevalent depressive disorder at baseline irrespective of MTHFR genotype; and with both incident and persistent depressive disorder at follow-up only in the presence of TT genotype. MTHFR genotype was not itself associated with depressive disorder after ACS. No associations were found with 24-week antidepressant treatment responses. Plasma homocysteine could be a biomarker for depressive disorder particularly in the acute phase of ACS. Focused interventions for those with higher homocysteine level and MTHFR TT genotype might reduce the risk of later depressive disorder.

Fish consumption and depression in Korean adults: the Korea National Health and Nutrition Examination Survey, 2013-2015

BACKGROUND/OBJECTIVES

There is a growing body of evidence that supports the potential role of fish consumption in relation to depression, but the data in Korean population is scarce. Thus, we examined the association between fish consumption and depression in Korean adults.

SUBJECTS/METHODS

We conducted a cross-sectional study in 9183 Korean adults aged 19-64 years who participated in the 6TH Korea National Health and Nutrition Examination Survey (2013-2015), which is a large nationally representative study of Korean population. Fish consumption and depression status were assessed using questionnaires. Multivariable logistic regression models were used to compute odds ratios (ORs) and 95% confidence intervals (CIs) for physician-diagnosed clinical depression.

RESULTS

Out of the 9183 subjects, 389 (4.2%) were diagnosed with depression. After adjusting for potential confounders, the multivariable-adjusted ORs for clinical depression across fish consumption were 1.00 (reference) for <1 time/week, 0.76 (95% CI: 0.56-1.04) for 1-3 times/week and 0.52 (95% CI: 0.37-0.74) for ≥4 times/week (P for trend = 0.0005). The inverse association for ≥4 times/week of fish consumption was stronger in women (OR = 0.44, 95% CI: 0.29-0.67, P for trend < .0001), but there was no significant association in men.

CONCLUSIONS

Our findings suggest that high consumption of fish is associated with lower odds of depression in Korean adults, particularly in women. These results warrant further prospective studies to verify the association between fish consumption and risk of depression in Korean adults.

Severity of complicated versus uncomplicated subthreshold depression: New evidence on the "Monotonicity Thesis" from the national comorbidity survey

BACKGROUND

"Complicated" subthreshold depression (CsD) includes at least one of six pathosuggestive "complicated" symptoms: >6 months duration, marked role impairment, sense of worthlessness, suicidal ideation, psychotic ideation, and psychomotor retardation. "Uncomplicated" subthreshold depression (UsD) has no complicated features. Whereas studies show that complicated (CMDD) versus uncomplicated (UMDD) major depression differ substantially in severity and prognosis, UsD and CsD severity has not been previously compared. This study evaluates UsD and CsD pathology validator levels and examines whether the complicated/uncomplicated distinction offers incremental concurrent validity over the standard number-of-symptoms dimension as a depression severity measure.

METHODS

Using nationally representative community data from the National Comorbidity Survey, seven depression lifetime history subgroups were identified: one MDD screener symptom (n=1432); UsD (n=430); CsD (n=611); UMDD (n=182); and CMDD with 5-6 symptoms (n=518), 7 symptoms (n=217), and 8-9 symptoms (n=291). Severity was evaluated using five concurrent pathology validators: suicide attempt, interference with life, help seeking, hospitalization, and generalized anxiety disorder.

RESULTS

CsD validator levels are substantially higher than both UsD and UMDD levels, and similar to mild CMDD, disconfirming the "monotonicity thesis" that severity increase with symptom number. Complicated/uncomplicated status predicts severity, and when complicatedness is controlled, number of symptoms no longer predicts validator levels.

LIMITATIONS

Diagnoses were based on respondents' fallible retrospective symptom reports during a lay-administered structured interview, which may not yield diagnoses comparable to clinicians' assessments.

CONCLUSION

CsD is more severe than UsD and comparable to mild MDD. Complicated status more validly indicates depression severity than the standard number-of-symptoms measure.

Impact of major depressive disorder, distinct subtypes, and symptom severity on lifestyle in the BiDirect Study

The aim of this study was to examine associations of major depressive disorder (MDD), its distinct subtypes, and symptom severity with the individual lifestyle factors smoking, diet quality, physical activity, and body mass index as well as with a combined lifestyle index measuring the co-occurrence of these lifestyle factors. A sample of 823 patients with MDD and 597 non-depressed controls was examined. The psychiatric assessment was based on a clinical interview including the Mini International Neuropsychiatric Interview and the Hamilton Depression Rating Scale. Each lifestyle factor was scored as either healthy or unhealthy, and the number of unhealthy lifestyle factors was added up in a combined lifestyle index. Cross-sectional analyses were performed using alternating logistic regression and ordinal logistic regression, adjusted for socio-demographic characteristics. After adjustment, MDD was significantly associated with smoking, low physical activity, and overweight. Likewise, MDD was significantly related to the overall lifestyle index. When stratifying for subtypes, all subtypes showed higher odds for an overall unhealthier lifestyle than controls, but the associations with the individual lifestyle factors were partly different. Symptom severity was associated with the lifestyle index in a dose-response manner. In conclusion, patients with MDD represent an important target group for lifestyle interventions.

Why so GLUMM? Detecting depression clusters through graphing lifestyle-environs using machine-learning methods (GLUMM)

BACKGROUND

Key lifestyle-environ risk factors are operative for depression, but it is unclear how risk factors cluster. Machine-learning (ML) algorithms exist that learn, extract, identify and map underlying patterns to identify groupings of depressed individuals without constraints. The aim of this research was to use a large epidemiological study to identify and characterise depression clusters through "Graphing lifestyle-environs using machine-learning methods" (GLUMM).

METHODS

Two ML algorithms were implemented: unsupervised Self-organised mapping (SOM) to create GLUMM clusters and a supervised boosted regression algorithm to describe clusters. Ninety-six "lifestyle-environ" variables were used from the National health and nutrition examination study (2009-2010). Multivariate logistic regression validated clusters and controlled for possible sociodemographic confounders.

RESULTS

The SOM identified two GLUMM cluster solutions. These solutions contained one dominant depressed cluster (GLUMM5-1, GLUMM7-1). Equal proportions of members in each cluster rated as highly depressed (17%). Alcohol consumption and demographics validated clusters. Boosted regression identified GLUMM5-1 as more informative than GLUMM7-1. Members were more likely to: have problems sleeping; unhealthy eating; ≤2 years in their home; an old home; perceive themselves underweight; exposed to work fumes; experienced sex at ≤14 years; not perform moderate recreational activities. A positive relationship between GLUMM5-1 (OR: 7.50, P<0.001) and GLUMM7-1 (OR: 7.88, P<0.001) with depression was found, with significant interactions with those married/living with partner (P=0.001).

CONCLUSION

Using ML based GLUMM to form ordered depressive clusters from multitudinous lifestyle-environ variables enabled a deeper exploration of the heterogeneous data to uncover better understandings into relationships between the complex mental health factors.

Pathological Internet Use and Risk-Behaviors among European Adolescents

Risk-behaviors are a major contributor to the leading causes of morbidity among adolescents and young people; however, their association with pathological Internet use (PIU) is relatively unexplored, particularly within the European context. The main objective of this study is to investigate the association between risk-behaviors and PIU in European adolescents. This cross-sectional study was conducted within the framework of the FP7 European Union project: Saving and Empowering Young Lives in Europe (SEYLE). Data on adolescents were collected from randomized schools within study sites across eleven European countries. PIU was measured using Young's Diagnostic Questionnaire (YDQ). Risk-behaviors were assessed using questions procured from the Global School-Based Student Health Survey (GSHS). A total of 11,931 adolescents were included in the analyses: 43.4% male and 56.6% female (M/F: 5179/6752), with a mean age of 14.89 ± 0.87 years. Adolescents reporting poor sleeping habits and risk-taking actions showed the strongest associations with PIU, followed by tobacco use, poor nutrition and physical inactivity. Among adolescents in the PIU group, 89.9% were characterized as having multiple risk-behaviors. The significant association observed between PIU and risk-behaviors, combined with a high rate of co-occurrence, underlines the importance of considering PIU when screening, treating or preventing high-risk behaviors among adolescents.

Metabolic syndrome in first-time hospitalized patients with depression: a 1-year follow-up study

OBJECTIVE

Studies on metabolic syndrome (MetS) in younger patients with depression are few. We examined the prevalence and progression of MetS in first-time hospitalized patients with depression during 1 year of follow-up. Furthermore, we explored putative risk factors of MetS.

METHOD

We evaluated MetS and its components in first-time hospitalized patients with depression (N = 52) and healthy controls (N = 50) (18-45 years). Physical activity, aerobic fitness, sleeping disturbances, smoking and dietary habits, and psychopharmacological treatment were recorded at baseline for all participants and after 1 year for the patients.

RESULTS

Patients had significantly higher waist circumference (WC) and lower high-density lipoproteins compared with healthy controls (P < 0.05). Patients had higher prevalence of MetS, but this was not significant when adjusted for age. Patients had significant increase in WC and triglycerides and a non-significant increase in the prevalence of MetS. Antipsychotic medication (OR 10.5, 95% CI 1.18-94.14) and low aerobic fitness (OR 0.79, 95% CI 0.68-0.93) were significantly correlated with MetS (P < 0.05).

CONCLUSION

Metabolic syndrome is highly prevalent in younger, severely depressed patients and the incidence increases during 1 year of follow-up. Low aerobic fitness and use of atypical antipsychotics are strongly correlated with MetS.