Background The present study aimed to investigate the associations of obesity phenotypes with depression, anxiety, and stress symptoms among adults in the Tehran Lipid and Glucose Study (TLGS). Methods Depression, anxiety, and stress levels of participants from the TLGS were examined among different obesity phenotypes in this cross-sectional study. Obesity was defined as body mass index (BMI) ≥30 kg/m2, and metabolically unhealthy status based on having metabolic syndrome (MetS) or type 2 diabetes. Four obesity phenotypes were defined: 1) Metabolically Healthy Non-Obese (MHNO), 2) Metabolically Healthy Obese (MHO) 3) Metabolically Unhealthy Non-Obese (MUNO), and 4) Metabolically Unhealthy Obese (MUO). Emotional states of different obesity phenotypes were assessed by the Persian version of depression, anxiety, and stress scale-21 items (DASS-21). Ordinal logistic regression analysis was used to compare sex-specific odds ratios of depression, anxiety, and stress in different obesity phenotypes. Results The mean age of 2469 men and women was 46.2 ± 15.9 and 45.6 ± 14.7, respectively. In total, women were more likely to experience higher levels of depression (30.5%), anxiety (44.2%), and stress (43.5%) symptoms compared to men. After adjusting for potential confounders, compared to MHNO men, the odds of experiencing higher anxiety levels were significantly greater in metabolically unhealthy men whether they were obese (OR: 1.78, 95% CI: 1.25–2.54; P = < 0.001) or non-obese (OR: 1.61, 95% CI: 1.17–2.21; P = < 0.001), and also in MUO women (OR: 1.73, 95% CI: 1.28–2.34; P = < 0.001) compared to MHNO women. Moreover, the odds of experiencing higher stress levels were significantly greater in MUNO men (OR: 1.40, 95% CI: 1.02–1.90; P = 0.04) compared to MHNO men and in MUO women (OR: 1.45, 95% CI: 1.07–1.96; P = 0.02) compared to MHNO women. No difference in depression levels was observed in either sex. Conclusions Our results showed that men and women with various obesity phenotypes experienced different anxiety and stress levels. While MUO women and all metabolically unhealthy men experienced more anxiety and stress levels than MHNO individuals, none of the obesity phenotypes were associated with depression. These findings provide insight into recognizing the psychological consequences of different phenotypes of obesity in both sexes and utilizing future health promotion planning.
Introduction Tele‐medicine services have been developed in response to the COVID‐19 pandemic, which disrupts mental health services. The present study investigates the effectiveness of telephone‐delivered services for psychological disorders in the COVID‐19 pandemic. Methods We searched PubMed/Medline, Embase and Cochrane Controlled Register of Trials for relevant clinical studies up to February 1, 2022. Following terms were used: “severe acute respiratory syndrome”, “Coronavirus”, “Coronavirus infection”, “SARS‐CoV‐2”, “COVID‐19”, “mental disorder”, “mental health”, “mental health program”, “mental health service”, “psychiatric service”, “telemedicine”, “Telehealth”, “Tele‐health”, “Telecare”, “Mobile health”. Results Twelve relevant clinical articles were included in our study. Eight articles were parallel randomized controlled trials (RCTs), two were Quasi‐experimental, and one was a multicenter retrospective cohort study. A total of 1900 adults (18 years old or above that) were included. Online telecommunication methods like online apps and videoconference were the most common interventions. The most prevalent measured outcome was levels of anxiety and depression among participants. Eleven out of 12 articles showed a significant association between telemedicine and mental health improvement. Conclusions The included studies in the current systematic review reported the probable efficacy of telemedicine in improving mental health disorders during the COVID‐19 pandemic. But it is not possible to determine the best telecommunication method for each mental disorder in different populations and the preference of patients is still face to face therapy. So RCTs in different populations with previous mental disorders or chronic diseases are required to investigate the further telemedicine's efficacy on managing mental problems.
Objective: Job burnout can cause physical and psychological damage and reduce job efficiency, especially in difficult jobs such as health care fields. This study aimed to assess the association between the level of job burnout and some contributing factors among health care providers in Iran. Method: This study was performed on the data derived from 1807 participants from the first phase of the employees’ health cohort in 2017-2018. The data were collected using as a self-administrated tool utilizing Maslach Burnout Inventory. The questionnaire scores ranged from never to everyday, with 3 levels of burnout as well as burnout itself; then, the scores were categorized as low, moderate, or high. Ordinal logistic regression model was used to adjust ordinal dependent variables. Results: The mean score of the total burnout was 16.5±7.77 and was associated with work experience and age group (p < 0.001). The components of burnout consisted of emotional exhaustion (8.9± 9.0), depersonalization (23± 2.9), and personal accomplishment (34± 8.6). Emotional exhaustion was related to sex (less among males, OR=0.48) and type of job (less among officials compared to health care staff, OR=0.488). Composite burnout was more common among younger staff (OR= 3.85). Depersonalization was associated with duty shift workers (OR=2.42). Conclusion: Job burnout is a major concern, and lack of personal accomplishment, as a component of burnout, was highly prevalent among Iranian health care employees. Being a single woman, health care provider, and having more than 20 years of work experience with a duty shift were contributing factors for burnout experience. Monitoring symptoms of burnout and its associated factors in the workplace and proposing an alternative organizational and behavioral system and sharing it with relevant authorities may help prevent or reduce job burnout and its deleterious effects.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.