The objective of this meta-analysis was to determine the prevalence of depressive symptoms and suicidal behaviors among high-school students in Iran.

A comprehensive search strategy was conducted in the following original databases: PubMed, Web of Science (ISI), Scopus, Psycinfo, and national databases, including the Scientific Information Database (SID) and MagIran, from January 1988 through January 2023. Studies that reported the prevalence of depressive symptoms and suicidal behaviors among high school students in Iran were included. Two investigators extracted all relevant data independently. For deriving mean prevalence rates, random-effects meta-analyses were used. We assessed the quality of studies by the Joanna Briggs Institute (JBI).

Total of 67 studies (45,798 participants) were included in the syntheses on depressive symptoms and suicidal ideation. For depressive symptoms, the mean prevalence rate was 48 % (40 %, 55 %). 2804 participants were enrolled for assessing of the prevalence of suicide ideation, and the mean prevalence rate was 21 % (6 %, 36 %). The meta-analysis pooling of the prevalence estimates of suicide attempts was 18 % (15 %, 20 %).

Approximately half of the high school students experience depressive symptoms and, astonishingly, one in five high school students experiences suicidal ideation, so to identify strategies for preventing and treating depressive symptoms and suicidal behaviors in this special population, further research and policymaking are urgently needed.

Having a weight problem can cause emotional distress, especially in students, who suffer from both issues at a high rate. As a result of the COVID-19 pandemic's negative impact on society, these problems can be significantly impacted. The study aims to investigate the relationship between nursing students' BMI and their mental well-being.

A cross-sectional study was conducted on 423 students from the second through fourth baccalaureate years of Science of Nursing program - KSA. The instrument for the study was an online questionnaire distributed to the students via Google Forms during the academic year 2021-2022 to collect data on the emotional state of students directly as a result of COVID-19 restrictions and limitations. The statistical analysis was carried out through Chi-square test was used to compare categorical data between groups and the Pearson coefficient is used to determine the correlation between two quantitative variables with normal distribution.

There is a significant correlation between BMI with depression score, anxiety score and stress score. Higher BMI indicated 6.4 times more likeliness to have depression than lower BMI (OR = 6.4). Students who had higher BMI were 2.7 times more likely to have anxiety than those who had lower BMI (OR = 2.7), and 9.4 times more likely to have stress than those who had lower BMI (OR = 9.4).

Study findings indicate that nursing students' BMI increases as depression, anxiety, and stress increase. During the COVID-19 pandemic, participants reported increased weight due to increased stress levels and increased eating. Students in nursing should be aware of the importance of adopting healthy habits and following a healthy lifestyle.

Both depression and anxiety are worldwide burden that is not being abated with our current knowledge and treatment of the condition. Numerous clinical trials have supported that physical activity (PA) can reduce the depression and anxiety in adolescents, but little is known about its mechanism of action. Therefore, the study objectives were to explore the potential relationship between physical activity and depression and anxiety from the perspective of body image and body mass index (BMI), and to provide an important reference for future self-esteem education and health promotion intervention.

The participants in this study were 251 Chinese college students between 17 and 22 years old. Participants completed the International Physical Activity Questionnaire-Short Form (IPAQ-SF), the Body Image Questionnaire (BIQ), the Self-rating Depression Scale (SDS) and the Self-rating Anxiety Scale (SAS). A descriptive and correlational approach was used, using the PROCESS macro for Statistical Package for the Social Sciences (SPSS).

(1) Physical activity was significantly negatively correlated with both depression and anxiety (t = -0.216, p < 0.001; t = -0.184, p < 0.01). (2) Body image had a significant moderating effect on the relationship between physical activity and anxiety among college students, but there was no moderating effect between depression and physical activity. BMI has no moderating effect on the two interrelationships.

There is only body image that moderates the relationship between anxiety and physical activity.

Previous studies, predominantly in Western individuals, have reported weight gain or weight loss are related to the increased depressive symptoms at all ages, but no study of depressive symptoms has examined its relation to actual (not just self-reported) weight changes in the middle-aged and older adults. Evidence of the relationship in older Asian individuals remains sparse. The study aimed to examine the relationship between weight changes and incidence of depressive symptoms in a nationally representative sample of community-dwelling older Asians.

Data were obtained from the China Health and Retirement Longitudinal Study (CHARLS), which included 17,284 adults aged 45 years. Participants were followed every two years using a face-to-face, computer-aided personal interview (CAPI) and structured questionnaire. We excluded participants with no follow-up data. The numbers of individuals who completed both the baseline and follow-up surveys were 3118 for the short-term (two years from 2011-2013) and the long-term (four years from 2011-2015). Additionally, to associate weight change with subsequent depressive symptoms, we also included 2472 participants without depressive symptom in 2013 and observed the incidence of depressive symptom in 2015 (subsequent term from 2013-2015). Finally, weight changes were classified as loss > -3%, stable-3-3%, gain3-6%, gain6-9%, and gain > 9%. Multivariable-adjusted cox regression in the study were used to assess the hazard ratios (HRs) of each weight change category.

The incidence of depressive symptoms was 20.72% in the 2011-2013, 27.04% in the 2011-2015, and 23.02% in 2013-2015. Weight loss > 3% for all intervals was associated with higher depressive symptoms than stable weight during the 2011-2013 [1.305(1.031,1.651)] among the total populations. When stratified by sex, the results in males and females were different from those in the total population [females:1.389(0.997, 1.935); males:1.263(0.902, 1.767)]. Weight loss > 3% for intervals was associated with higher depressive symptoms than stable weight during the 2013-2015[1.643(1.140, 2.368)] among the males and its effect was also stronger for the total in 2011-2013. Moreover, there was no significant association between weight gain and incident depressive symptom, and no significant interaction effect in terms of the sex*weight changes.

Our findings could inform health promotion interventions to body-weight management aimed at improving the health of the middle-aged and older adults, particularly in the total people with short-term weight loss and males with subsequent term weight loss.

To determine the relationship between obesity and depression among female undergraduate students at Western Illinois University (WIU), Macomb, Illinois.

A cross-sectional study using self-reported questionnaires were conducted between August 15, 2019, and December 15, 2019. A cohort of 434 female undergraduate students was retrieved from the study. We determined the association between self-reported diagnosis of depression within the last year and body mass index (BMI) among female students.

The prevalence of depression among female undergraduates at WIU was 33.2%. Obese and overweight female undergraduate students had a higher likelihood of being diagnosed with depression than students with normal BMI (reference), overweight (OR= 1.91; 95% CI 1.11-3.31), obese (OR= 2.20; 95% CI 1.30-3.80). Latino and black students were less likely to report depression than white students, Latino (OR=0.37 95% CI 0.15-0.92), and Black (OR= 0.40; 95% CI 0.18-0.86). There was also a positive association between chronic back pain and development of the diagnosis of depression, (OR=2.26; 95% CI 1.45-3.52).

Depression among female undergraduate students is very common in the USA. Obese and overweight female students are more likely to be depressed than students with normal BMI. There is a need for urgent public health interventions to reduce the obesity rate among university students.

Increased levels of high-sensitivity C-reactive protein (CRP) are associated with mood symptoms in adults with bipolar disorder (BD). The few studies on this topic in youth with BD have not included controls. We, therefore, examined CRP levels in relation to symptomatic status in youth with and without BD.

Participants included 154 youth (mean age 17 years; 48 asymptomatic BD, 39 symptomatic BD, 67 healthy controls (HC)). Rank analysis of covariance test examined group differences in CRP, controlling for age and sex. Correlation between CRP and mood symptom severity was examined using Spearman's correlation within the BD group.

There were significant group differences in CRP levels (F_(2,151) = 5.06, p = 0.007, ηp2=0.06); post hoc analyses showed higher CRP levels in the symptomatic BD group compared with HC (p = 0.01). In sensitivity analyses, this finding was no longer significant after controlling for body mass index (BMI). CRP was not significantly associated with symptomatic severity.

CRP levels are elevated among symptomatic youth with BD, partly related to BMI. As elevated BMI is associated with mood symptom burden, prospective studies are warranted to parse the associations among mood symptoms, BMI, and inflammation. Given the proportion of time that youth with BD are symptomatic, present findings raise concern about the long-term impact of elevated CRP on blood vessels, brain, and related clinical outcomes.

Depression is a common mood disorder characterized by persistent low mood or lack of interest in activities. People with other chronic medical conditions such as obesity and diabetes are at greater risk of depression. Diagnosing depression can be a challenge for primary care providers and others who lack specialized training for these disorders and have insufficient time for in-depth clinical evaluation. We aimed to create a more objective low-cost diagnostic tool based on patients' characteristics and blood biomarkers.

Blood biomarker results were obtained from the National Health and Nutrition Examination Survey (NHANES, 2007-2016). A prediction model utilizing random forest (RF) in NHANES (2007-2014) to identify depression was derived and validated internally using out-of-bag technique. Afterwards, the model was validated externally using a validation dataset (NHANES, 2015-2016). We performed four subgroup comparisons (full dataset, overweight and obesity dataset (BMI≥25), diabetes dataset, and metabolic syndrome dataset) then selected features using backward feature selection from RF.

Family income, Gamma-glutamyl transferase (GGT), glucose, Triglyceride, red cell distribution width (RDW), creatinine, Basophils count or percent, Eosinophils count or percent, and Bilirubin were the most important features from four models. In the training set, AUC from full, overweight and obesity, diabetes, and metabolic syndrome datasets were 0.83, 0.80, 0.82, and 0.82, respectively. In the validation set, AUC were 0.69, 0.63, 0.66, and 0.64, respectively.

Results of routine blood laboratory tests had good predictive value for distinguishing depression cases from control groups not only in the general population, but also individuals with metabolism-related chronic diseases.

This study was conducted to examine the relationship between students' anxiety, depression, stress levels, and emotional, external, restrictive eating behaviors in the coronavirus disease 2019 (COVID-19) process.

This study was conducted in included university involving 411 nursing students who completed the Personal Information Form, Depression, Anxiety, Stress Scale, and the Dutch Eating Behavior Questionnaire. Kruskal-Wallis Test, Mann-Whitney U test, and Spearman's correlation test were used to evaluate the data.

In the correlation between Depression, Anxiety, Stress Scale subscale scores, and the Dutch Eating Behavior Questionnaire subscale scores, there was no significant relationship between only depression and restrictive eating.

It was determined that the COVID-19 pandemic process affected the mental health of nursing students and their eating behaviors.

Introduction Depression is one of the most incapacitating psychiatric diseases that disturb life of millions of people round the globe. Its major causes include stressful life events, bereavement, social abuses or certain biological and genetic factors with complex causal mechanisms. Higher salivary cortisol levels for a long period lead to dyslipidemias which increase body mass index (BMI), elevate adiposity and waist-to-hip ratio (WHR). Such individuals with high quartiles of BMI have considerably higher risk of major depressive disorder. The aim of this study was to establish a correlation between major depression, BMI and salivary cortisol. Methods This cross-sectional analysis was accomplished in the Physiology Department, Sheikh Zayed Federal Postgraduate Medical Institute, Lahore as well as in Punjab Institute of Mental Health, Lahore, Pakistan, over a period of six months. A total of 60 participants aged between 18 and 60 years were included in this study; they were divided equally into two groups as normal healthy individuals with no physical or mental illness and severely depressed groups. The patients were categorized as cases of severe depression on outdoor clinical assessment and further confirmed by ICD-10. Patient's BMI was estimated by measuring height in meters (m) and weight in kilograms (kg), and then dividing weight with square height. Early morning saliva samples were collected. Estimation of cortisol levels in saliva was done through ELISA. SPSS version 20.0 (IBM Corp., Armonk, NY) was used to analyze the data and p ≤ 0.05 was considered statistically significant. Results The mean BMI in normal healthy group was 22.02 ± 4.21, while the mean BMI in severely depressive group was 24.64 ± 3.58. The difference was statistically significant (p = 0.012). The mean salivary cortisol level was significantly raised in patients with major depression (2.23 ± 1.69 nmol/L) in contrast to healthy normal individuals (1.46 ± 0.91 nmol/L), with p-value = 0.031. Conclusion BMI and depression has a very noteworthy correlation and there is a remarkable link between raised salivary cortisol, greater BMI and development of major depression.

With obesity levels increasing, it is important to consider the mental health risks associated with this condition to optimize patient care. Links between depression and obesity have been explored, but few studies focus on the risk profiles of patients across stratified body mass index (BMI) classes above 30 kg/m² . This study aims to determine the impact of BMI on depression risk in patients with obesity and to investigate trends of depression in a large cohort of British patients with BMI > 30 kg/m² . A nationwide primary care database, the Clinical Practice Research Datalink (CPRD), was analysed for diagnoses of obesity (BMI > 30 kg/m² ). Obese patients were then sub-classified into seven BMI categories. Primary health care-based records of patients entered in the CPRD were analysed. A total of 363 037 patients had a BMI ≥ 30 kg/m² ; of these patients 97 392 (26.8%) also had a diagnosis of depression. Absolute event rates over time and hazard risk of depression were analysed by BMI category. On Cox regression analysis of time to development of depression, the cumulative hazard increased significantly and linearly across BMI groups (P < 0.001). Compared to those with BMI 30 to 35 kg/m² , patients with BMI 35 to 40 kg/m² had a 20% higher risk of depression (hazard ratio [HR] 1.206, confidence interval [CI] 1.170-1.424), and those with BMI > 60 kg/m² had a 98% higher risk (HR 1.988, CI 1.513-2.612). This study identified the prevalence and time course of depression in a cohort of obese patients in the United Kingdom. Findings suggest the risk of depression is directly proportional to BMI above 30 kg/m² . Therefore, clinicians should note higher BMI levels confer increased risk of depression.