Independent Predictors Of Depression Research Articles

Determinants of Depression in Caregivers of Geriatric Patients in Jeddah, Saudi Arabia: A Cross-Sectional Study.

Background and Objectives: Caregiving for geriatric patients is essential for ensuring the well-being and quality of life of older adults. Family caregivers play a crucial role, but they often face a significant burden that can lead to adverse mental health outcomes, including depression. This study aimed to estimate the prevalence of depression among caregivers of geriatric patients in Jeddah, Saudi Arabia, and to analyze its association with caregiver burden and various socio-demographic and caregiving parameters. Methods: A cross-sectional study was conducted in Jeddah, Saudi Arabia, between January and March 2024. Adult caregivers of geriatric patients were recruited through various social media platforms. Data were collected via an electronic questionnaire that included demographic information, caregiving parameters, the Patient Health Questionnaire-9 (PHQ-9) for depression screening, and the Zarit Burden Interview (ZBI-12) for caregiver burden assessment. Data were analyzed using descriptive statistics, chi-square tests, and multivariate logistic regression. Results: Of the 269 participants, the average age was 32 years, and the gender distribution was nearly balanced. The prevalence of depression (PHQ-9 score ≥ 10) among caregivers was 45.4% (95% CI: 39.3, 51.5%). Significant factors associated with higher depression scores included younger age, female gender, single status, being a student, low income, and caregiving burden. In the multivariate analysis, female gender (OR 2.50, 95% CI 1.30-4.80) and caregiving burden (mild-to-moderate burden: OR 6.18, 95% CI 2.94-13.00; high burden: OR 22.75, 95% CI 8.75-59.13) were independent predictors of depression. Conclusions: The study highlights the high prevalence of depression among caregivers of geriatric patients in Jeddah and underscores the significant impact of caregiving burden on mental health. These findings emphasize the need for targeted interventions, such as mental health support, respite care programs, and culturally sensitive educational training, to mitigate caregiver burden and enhance the well-being of caregivers.

Low Serum Vitamin B12 is Significantly Associated with Depression: A Cross Sectional Observational Study

Vitamin B12 plays a vital role in the prevention of psychological disorders. Studies have reported the positive impact of vitamin B12 supplementation on cognitive functions. However, epidemiological research on the prevalence of depression in the vitamin B12-deficient adult population is still insufficient. Thus, the present study investigates the prevalence of depression among the vitamin B12-deficient 400 adult participants, whose serum vitamin B12 status was below 200pg/mL, aged between 18 years to 60 years. The sociodemographic profile, anthropometric assessment and presence or absences of clinical symptoms were recorded via self-administered questionnaire. Participants were divided in Vitamin B12 insufficient and deficient group. Depression was screened by Beck- Depression Inventory II (BDI-II) scale, with 21-item self-administered survey. The study reported, 16% participants were from deficient group (serum vitamin B 12 below 150 pg/ml) with mean age 43.2±10.5 years. Depressive symptoms were found inversely associated with serum vitamin B12 levels. A significant association (at p<0.05) was found with age (chi sq=44.09, d.f.= 2, and p=0.001), gender (chi sq=7.91, d.f.= 1, and p=0.0048), body mass index (chi sq=12.97, d.f.= 2, and p=0.022), metformin usage (chi sq=8.31, d.f.= 2, and p=0.015), religion (chi sq=7.54, d.f.= 2, and p=0.022), income group (chi sq=5.71, d.f.= 2, and p=0.04), food preferences (chi sq=18.95, d.f.= 2, and p=0.00007) and clinical symptoms. The odds (CI) of depression among vitamin B12 deficient participants were found 5.88 (2.81-12.32), making it an independent predictor of depression. After adjusting with confounding variables, the association remained the same. The study revealed that the adult population with reduced vitamin B12 levels has higher probabilities of developing depression, and the chances increased with age. Thus, early detection and low cost supplementation should be implemented to combat vitamin B12 deficiency and its complications.

Rhinitis medicomentosa and substance addiction

BackgroundRhinitis medicomentosa (RM) is a form of non-allergic rhinitis caused by the use of nasal decongestants for longer than the recommended duration. Because of this problem of use, addiction to the drug occurs in individuals. In our study, we aimed to evaluate the susceptibility of RM patients to substance addiction.MethodsThe study was planned as a prospective, multicentric study between September 2022 and September 2023. Patients diagnosed with RM were included in the study. Beck depression scale, Drug use disorders identification test, Substance Abuse Proclivity Scale were applied to the patients participating in the study. The research data were analyzed electronically with SPSS program version 25.ResultsThe study included 86 patients with an average age of 31 years. The average duration of medication use was 22 months. Age, gender, duration of nasal congestion, duration of drug use and smoking were not independent predictors for depression and substance use tendency.ConclusionThe relationship between RM and addictive substances is not clear. The tendency to use drugs did not increase in RM patients. In the light of these data, we think that there is no need for a practice other than routine functioning in the use of drugs and similar substances that are likely to cause addiction in RM patients.

Presence of Co-morbid Depression among Diabetics of Less than 5 Years Duration in a Tertiary Care Institution, Chennai, Tamil Nadu, India: A Cross-sectional Study

Introduction: Depression is a significant co-morbid condition for diabetics. Co-morbid depression results in worsened diabetes complications, deleterious effects on self-care activities, non adherence, and poor treatment outcomes. Aim: To assess the prevalence of depression among type 2 diabetic patients attending a tertiary hospital and to find its association with socio-demographic and lifestyle factors. Materials and Methods: A hospital-based cross-sectional study was done in the diabetic clinic of Government Stanley Medical College and Hospital, Chennai, Tamil Nadu, India between June 2016 and August 2016, involving 500 patients with Type II Diabetes Mellitus (T2DM) of less than five years’ duration. The prevalence of depression was calculated using Beck’s Depression Inventory Scale for a period of three months. The results were expressed in proportions, and the association of factors was tested using the Chi-square test and multivariable logistic regression analysis. A p-value <0.05 was considered statistically significant. Results: The study included 500 participants, of whom the majority (276, 55%) were female, with a mean age of 46.2 years. The prevalence of depression was 55 (11%). It was found that being female, illiterate, and unemployed were significantly associated with depression. Among disease-related factors, diabetes duration of 3-5 years, insulin injection usage, and the presence of diabetic complications were significantly associated with depression. Regarding lifestyle factors, the prevalence of depression was significantly higher among those who were non adherent to dietary modification practices and those with family worries and work-related tension. Multivariable logistic regression analysis revealed that the independent predictors of depression among diabetics were the presence of diabetic complications {Odds Ratio (OR)-2.48 (1.27-4.84)}, family worries {OR-2.54 (1.34-4.80)}, non adherence to follow-up {OR-2.61 (1.37-4.99)}, and non compliance with dietary modifications {OR-2.93 (1.43-5.99)}. Conclusion: The present study revealed that about one in 10 (11%) diabetics with less than five years’ duration have associated depression, with significant independent predictors being non compliant behaviours, the presence of complications, and family issues. Hence, diabetics should be screened simultaneously for depression, giving due attention to those with complications, family issues, and non compliant behaviours.

Depression among older adults in an urban slum of Raipur city – a community based cross-sectional study

BackgroundOlder adults are at risk of chronic, silent depressive changes and the vulnerability of older adults in urban slums of India is rarely exposed. The objective of this study was to estimate the prevalence of depression among the older adults in the urban slums of India and to study the factors associated with it.MethodsThis was a community based analytical cross-sectional study conducted in Urban Field Practice Area of a tertiary care teaching hospital in Chhattisgarh, India among older adults more than or equal to 60 years of age selected using two stage, simple random sampling. The data was collected in a sample of 400 older adults by face-to-face interview using self-designed, semi-structured and pretested proforma that included validated Hindi version of Geriatric Depression Scale (GDS-15) and analyzed using SPSS v23.ResultsThe prevalence of depression among older adults was 51.5% in the present study; with 27%, 12.8% and 11.8% having mild, moderate and severe depression respectively. Number of family members, living status of spouse, emotional attachment to family members, conflict in family, loneliness, social isolation, marginal friendship ties, functional status, physical exercise, active complains and diastolic BP were independent predictors of depression in older adults.ConclusionEarly identification of depression in older adults using GDS-15 and incorporation of social isolation and functionality assessment routinely by healthcare providers for all older adults attending the outpatient departments is the need of the hour. A holistic approach to care of older adults is vital as healthcare providers seek to understand the impact of multiple, complex, interconnected factors on overall health and well-being of older adults.

Prevalence of Depression and its determinants among undergraduate Medical college students in Salem, Tamil Nadu

Background: Stress is an essential determinant of depression, leading to a greater prevalence of depression among medical students than the general population; a vulnerable subgroup. The objective of the present study was to determine the prevalence of depression and its associated factors among undergraduate medical students. Methods: This was an analytical cross-sectional study conducted among medical college students in Salem, Tamil Nadu between October 2021, and December 2022. Beck’s Depression Inventory (BDI) was used. Results: The prevalence of depression among undergraduate medial students was 27.0%; 10.2% had mild depression, 5.4% had borderline clinical depression, 8.5% had moderate depression, 2.4% had severe depression, and 0.5% had extreme depression. Multivariate logistic regression analysis showed that presence of separated or divorced or single parent, being in Phase II, without satisfactory academic performance, presence of active or chief complaints, conflicts in the family, and recent failures were independent predictors of depression among undergraduate medical students (p<0.05). Conclusion: It is crucial that medical schools prioritize the mental health of their students and provide appropriate resources and support.

Association of Urinary Incontinence and Depression: Findings From the National Health and Nutrition Examination Survey

To evaluate the association between urinary incontinence and depression. An estimated 21 million adults in the United States (U.S.) reported at least one major depressive episode. Urinary incontinence has a well-described negative impact on quality of life. We included respondents aged ≥20 who participated in the 2017 - March 2020 National Health and Nutrition Examination Survey cycles. Our dichotomous outcomes were depression and clinical depression. The predictor variable urinary incontinence was assessed using the validated incontinence severity index. We fitted an adjusted multivariable logistic regression and performed interaction analysis for urinary incontinence and our variable of interest. Among a weighted sample of 233.5 million people (unweighted 8256), 19.9 million (8.5%) reported depression (P<.001). The weighted population was 48.6% male, 55.2% married, and 63.4% non-Hispanic White (all P<.001). Moderate and severe urinary incontinence was associated with depression (adjusted odds ratio [aOR] 2.3; 95%CI [1.5-3.3]; aOR 3.8; 95%CI [2.5-3.3]; P<.001). No association was observed between urinary incontinence and clinical depression. Interaction analysis showed that men (aOR 3.62; 95%CI [2.13-6.15]; Pint<.001) and participants at the lowest socioeconomic status (aOR 2.2; 95%CI [1.3-3.71]; Pint=.005) with moderate/severe urinary incontinence had higher odds of depression than their continent counterparts. We report that urinary incontinence is an independent predictor of depression in a nationally representative survey for men and those in the lowest socioeconomic tier. The association is most prominent among men and the socioeconomically disadvantaged population. This suggests that treatment for urinary incontinence may be important tool to reduce depression in the general population.

STIGMA AND LOW SENSE OF COHERENCE AS LONG-TERM PREDICTORS OF DEPRESSIVE AND ANXIETY SYMPTOMS IN THE POPULATION AMID THE COVID-19 PANDEMIC.

The COVID-19 has had a profound negative impact on the population's mental health. This study aimed to determine the prevalence of depressive and anxiety symptoms in the general population during the third wave of the COVID-19 pandemic and to identify risk factors associated with these symptoms after implementing initial prevention strategies. A cross-sectional study was conducted among 200 visitors to five general practices in February 2021 in Slovenia. The response rate was 82.0% (164/200). A structured survey was used to assess sociodemographic factors, depressive and anxiety symptoms, exposure to COVID-19 stressors, stress coping strategies used, and sense of coherence (SOC). A score of ≥10 points on the Patient Health Questionnaire-9 and ≥10 points on the General Anxiety Disorder-7 questionnaire were considered as cut-offs for screened depression and anxiety, respectively. The Mann-Whitney U test, chi-square test, and binary logistic regression were used for statistical analysis. The prevalence of screened depression and anxiety was 24.4% and 12.9%, respectively. Independent predictors of depression were stigma related to COVID-19 (OR 2.42, 95% CI 1.57-3.73, p<0.001), low SOC (OR 5.89, 95% CI 2.21-15.72, p<0.001), and smoking (OR 3.53, 95% CI 1.23-10.10. p=0.019). Independent predictors of anxiety were religious rituals cancellation (OR 1.64, 95% CI 1.02-2.65, p=0.040), childcare responsibilities (OR 1.70, 95% CI 1.07-2.69, p=0.025), increased contact with close ones (OR 1.92, 95% CI 1.11-3.29, p=0.019), and low SOC (OR 5.21, 95% CI 1.22-22.31, p=0.026). Despite efforts to address the pandemic through prevention strategies and the burden of the pandemic decreasing, we still found a high prevalence of depressive and anxiety symptoms. While some risk factors can be addressed quickly, such as by providing stable childcare and schooling and enabling assess to mental health services for vulnerable families, others require a longer-term approach, such as strengthening SOC and reducing stigma.

Calprotectin, Biomarker of Depression in Patients with Inflammatory Bowel Disease?

Background and Objectives: Calprotectin is a marker for intestinal inflammation. Recent research suggests a link between inflammation and depression. This study assessed the association between the levels of calprotectin in patients from South-Eastern Europe and the severity of depression, anxiety, and quality of life. Materials and Methods: This cross-sectional study included 30 confirmed patients with Crohn's disease (CD) and ulcerative colitis (UC) who were assessed using clinical interviews for determining the severities of mental disorders (i.e., depression severity-PHQ-9, anxiety-GAD-7) and the quality of life (EQ-5D). Stool samples were collected from all participants for measuring their levels of calprotectin. Results: The level of calprotectin is correlated with PHQ-9 (ρ = 0.416, p = 0.022) and EQ-5D (ρ = -0.304, p = 0.033) but not with GAD 7 (ρ = 0.059, p = 0.379). Calprotectin levels in patients with mild, moderate, and moderately severe depression were significantly higher than in patients with minimal depression (198 µg/g vs. 66,9 µg/g, p = 0.04). Calprotectin level was corelated with the following depressive symptoms: autolytic ideation (ρ = 0.557, p = 0.001), fatigue (ρ = 0.514, p = 0.002), slow movement (ρ = 0.490, p = 0.003), and sleep disorders (ρ = 0.403, p = 0.014). Calprotectin was an independent predictor of depression with an odds ratio of 1.01 (95%: 1.002-1.03, p < 0.01). An ROC analysis showed that a level of calprotectin of 131 µg/g or higher has a sensitivity of 82%, a specificity of 61%, and an accuracy of 70% for predicting depression. In this study, no significant correlations were found between calprotectin level and anxiety. Conclusions: Calprotectin levels are associated with the severity of depression, and checking for a calprotectin level of 131 µg/g or higher may be a potential accessible screening test for depression in patients with inflammatory bowel disease.

The Psychosocial Impact of COVID-19 on an Adult Indian Population.

Coronavirus disease (COVID-19) was a pandemic with many physical, psychological, and socioeconomic effects. COVID-19 caused a global increase in anxiety and depression because of its novelty, high infectivity, varied presentation, and unpredictable mortality. In the face of collapsing healthcare facilities, monetary setbacks, and loneliness because of lockdowns, people were anxious, and this was compounded by media sensationalism. We aimed to study the psychosocial impact of COVID-19 on the adult Indian population. An online survey using SurveyMonkey was floated through WhatsApp messages in April 2020, using the 'chain-referral sampling' method. Responses from individuals >18 years were included, and questions included age, sex, occupation, demographics, and socioeconomic conditions. The prevalence of anxiety and depression was assessed using the Generalized Anxiety Disorder (GAD-7) and the Patient Health Questionnaire (PHQ-9) scales. Data was analyzed using IBM SPSS software, and predictors of anxiety and depression were assessed. A total of 2640 responses from individuals between 18 years and81 years were analyzed, of which 39% were from females and 85% from those <50 years of age. There were students (15.6%), teachers (10.7%), healthcare workers (16.8%), homemakers (9%), and daily wage laborers (4.1%), among others. Nearly 80% lived in cities, 55% had salaried jobs, 37% were working from home, 22% were temporarily unemployed, 10% were feeling work stress, 11% had increased alcohol intake, and 7.5% saw an increase in domestic violence. The income of 50% was adversely affected. Nearly 50% of our respondents had some symptoms of anxiety, and 23% had significant anxiety (GAD ≥5). The presence of anxiety was significantly higher in females, younger adults, city dwellers, healthcare workers, unemployed people, individuals living away from home, those without fixed salaries,those with work stress, and in people whose incomes had been adversely affected by the pandemic. On logistic regression analysis, female sex, younger age, unemployment, lack of salaried jobs, work stress, being a healthcare worker, and media reports were independent predictors of anxiety. About 60% of our respondents had some symptoms of depression, with 26% having significant depression (PHQ-9 ≥5). The presence of depression was significantly higher in females, younger adults, city dwellers, unemployed people, individuals living away from home without fixed salaries, andpeople with work stress. On logistic regression analysis, younger age, female sex, unemployment, lack of salaried jobs, work stress, and media reports were independent predictors of depression. Among our respondents, 70% used the time during the lockdown to study, 77% caught up with their families, and 56% reconnected with hobbies. Nearly 88% of our respondents had adjusted to their changing circumstances, helped by their religious beliefs and faith, the support of family and friends, good government measures, and the assurance of healthcare. Significant anxiety and depression were seen in 23% and 26% of respondents, respectively. Being a healthcare worker was an independent predictor of anxiety. Female sex, younger age, unemployment, work stress, and sensational media reports were independent predictors of both anxiety and depression.

Prevalence Of Depression And Associated Factors Among Elderly Population In A Rural Area Of Kozhikode District, North Kerala.

Background: Old age is often accompanied by frailty and diseases including neuropsychiatric disorders. Demen-tia and depression are the most common neuropsychiatric disorders among the elderly. Kerala has the maximum proportion of elderly in its population and successful identification of the elderly at risk is important for early in-tervention. The purpose of the study is to estimate the prevalence of depression and associated factors among the elderly population. Methods: A cross-sectional study was conducted among 320 elderlies from July 2018 to July 2019.The preva-lence of depression was estimated using GDS-15. Socio-demographic factors, self- perceived health status, mor-bidity profile, falls and related factors, religious practices, independence in activities of daily living, and other so-cial factors associated with depression were assessed. Results: 38.1% of the elderly were depressed. Majority had mild depression (23.4%) and 3.1% were severely depressed. Having no formal education, low socioeconomic status, not living with a spouse, no role in decision -making, average or poor self-perceived health status, past surgical history, and fear of falls were found to be inde-pendent predictors of depression. Conclusion: The prevalence of depression was high among elderly. Screening for depression in the elderly should be incorporated in already available programs along with appropriate health care measures.

DepressIon AmoNg CardiovaScular Disease Patients in Libya-PrEvalenCe and AssociaTions: INSPECT Study.

This study sought to assess the prevalence and identify factors associated with depression among patients with cardiovascular diseases and followed-up in a public teaching hospital. A cross-sectional study was conducted with a systematic random sample of 302 out-patients with cardiovascular diseases and followed-up in the cardiology outpatient department at Tripoli University Hospital. Stable adults (>18 years of age) were eligible to be included in this study. Face-to-face interviews were conducted to complete a questionnaire comprising questions on demographic, medical, and lifestyle issues besides the Patient Health Questionnaire-9 tool. Statistical Package for the Social Sciences, Version 22, was used to analyze the data. Age ranged between 29 and 84 years with a mean age of 60.6 ± 10.4 years; 60.6% were females and 75.8% were married. The highest prevalent morbidity was hypertension (76.2%) followed by diabetes mellitus (48%), ischemic heart disease (39%), and different types of arrhythmias (22.8%). About 59.3% of screened patients had different degrees of depression from mild to severe. The participants with a positive history of psychological problems, those complicated with cardiomyopathy, those who were females, patients with a history of cerebrovascular accident, and patients who were living alone were more likely to be depressed. Prevalence of depression is found to be higher among patients with cardiovascular diseases and a family history of psychological illnesses, and cardiomyopathy had the highest contribution as independent predictor for depression. Screening of all patients with cardiovas-cular diseases is essential to identify and treat the patients at greater risk of depression.

Depression, Anxiety, Insomnia, and Distress among Health-Care Workers Posted in COVID-19 Care

Background and Aims: Health-care professionals have been at the forefront of facing the COVID-19 pandemic. However, the stresses of dealing with patients affected by COVID-19 and concern about their own well-being are likely to lead to psychological distress among them. This study looked at depression, anxiety, insomnia, and significant distress among doctors and nurses working in COVID-19 services at a tertiary care facility. Methods: Depression, anxiety, insomnia, and significant distress were assessed through Primary Health Questionnaire-9, generalized anxiety disorder-7 scale, insomnia severity index (ISI), and impact of events scale-revised, respectively, using an online pro forma. Results: A total of 504 participants (53.2% females, 70.8% nurses) provided complete responses. Depression, anxiety, insomnia, and distress symptoms above the threshold were present in 36.7%, 29.6%, 31.9%, and 11.7% of participants, respectively. Single marital status, lack of access to appropriate personal protective equipment (PPE), distance to work more than 10 km, and being diagnosed with a mental illness were independent predictors of depression. Lack of access to appropriate PPE and being diagnosed with a mental illness were independent predictors of anxiety. Lack of access to adequate PPE emerged as the only independent predictor of insomnia and significant distress symptoms, respectively. Conclusion: Considerable proportion of health-care professionals posted in COVID-19 care had symptoms of psychological distress. Addressing the concerns of health-care professionals is important and probably needs effective collaboration of mental health-care professionals and administrators.

Investigation of Anxiety and Depression Predictors in Burn Patients Hospitalized at Velayat Hospital, a Newly Established Burn Center.

Burns are a leading cause of global mortality and disability. Burns have the mental, psychological and physical impact on the sufferers. Burn patients need special care, both physical and mental, and majority of them are suffering from symptom of difficulty, such as depression, anxiety, post-traumatic stress disorder, and isolation. Finding the predictors of post-burn anxiety and depression can accelerate the treatment and recovery process and maintain the mental health of the patients. The present study investigated the depression and anxiety predictors in burn patients admitted to a medical facility in northern Iran. The present study is a descriptive-analytical study with a cross-sectional methodology on all the burn patients (n = 611) admitted to the Velayat Subspecialty Burn and Reconstructive Surgery Center, Rasht, Iran during 2013-2019. The study tools included the demographic and clinical questionnaire and the Symptom Checklist-90-Revised (SCL-90-R) for anxiety and depression. Data were collected using interviews. Data analysis was performed using the SPSS version 19 and the statistical tests of Chi-square and logistic regression test. The present study included 611 patients, with 61% males and 39% females. The mean age of the participants was 38.86 ± 18.39, while most participants were in the age group of 20-40 years. The most common cause of admission was burning by flames (36.7%), and most patients had third-degree burns (67%). Five hundred forty three patients showed mental symptoms, of which 343 (52.6%) had anxiety disorder symptoms, and 309 (47.4%) had symptoms suggestive of depression. The independent predictors of depression were found to be the gender (OR = 0.253), age group (OR = 0.706), and the degree of burn (OR = 0.406), while the independent predictors of anxiety disorder included the gender (OR = 1.669), age group (OR = 1.58), the classified burn area (OR = 0.653), marital status (OR = 0.532), and education level (OR = 0.773). It is important to identify predictors of depression and anxiety after burn. The predictors can serve as indicators that these patients may benefit from mental health evaluations and treatment.

Prevalence of depression among elderly in an urban setting of Southern India

Background: The reported prevalence of depression by WHO in the elderly varied between 10% to 20% in various societies. Some of the 121community-based studies in India had reported a prevalence of 13 to 43% depression in elderly. Kerala had a 12.8% of geriatric population according to census 2011. The aim of the study was to find out the prevalence of depression among geriatric population in an urban area which comes under Thiruvananthapuram Corporation, Kerala state, India.Methods: Study design is cross sectional. Elderly over 60 years were interviewed using PHQ -9 questionnaire. Depression is diagnosed when the total score is equal to more than 5 in PHQ-9 questionnaire.Results: Total 405 elderly were included in the study. 195 (52%) were females and 213 (48%) were males. The prevalence was found to be 37.3% (CI, 30.78-43.98). Among them mild and moderate depression accounted for majority of cases (35.7%) than severe depression (1.5%). Bivariable analysis yielded factors such as previous history of mental illness, family history of mental illness, stress and absence of recreation that were associated with the development of depression. Family history of mental illness (adjusted OR 4.59) and stress (adjusted OR 7.43) were emerged as predictors of depression in this study in multivariable analysis.Conclusions: Prevalence of depression in elderly was found to be 37.3% (30.78-43.98) in an urban population of Sothern Kerala. In logistic regression analysis family history of mental illness and stress were emerged as independent predictors of depression among elderly.

Prevalence and factors associated with depression among older adults in the case of a low-income country, Ethiopia: a systematic review and meta-analysis

BackgroundDepression is among the common mental health problems in late-life and an important public health problem. Studies from both middle- and high-income countries have shown that depression is more common among older people than in adolescents. Many older people with depression are overlooked, and fewer efforts are made to mitigate their suffering. Despite depression being a major public health problem among older adults, its overall magnitude, and its main predictors were not determined for the development of appropriate measures. Hence, the objective of this study was, therefore, to estimate the overall prevalence of depression and identify its predictors among older adults in Ethiopia.MethodsAvailable articles were searched by means of different databases using the PRISMA guideline. The quality of the included studies was assessed using a JBI quality appraisal tool. STATA version 14.0 (STATA Corporation, College Station, Texas, USA) statistical software was used to analyze the eligible studies. Subgroup and sensitivity analyses were performed. Cochran’s Q and the I2 test were used to assess heterogeneity. The presence of publication bias was evaluated by using Egger’s test and visual inspection of the symmetry in funnel plots.ResultIn this meta-analysis, we included 11 articles that assessed 6521 older adults. The overall prevalence of depression among older adults in Ethiopia was 41.85 (33.52, 50.18). The finding was higher in the Oromia region with a prevalence of 48.07% (95% CI: 35.62, 60.51). The finding also demonstrated that being female (AOR = 1.76, 95% CI: 1.17, 2.63), no formal education (AOR = 1.82, 95% CI: 1.03, 3.19), with chronic diseases (AOR = 2.46, 95% CI: 1.00-6.06), and no social support (AOR = 2.01, 95% CI: 1.06, 3.83) were found to be independent predictors of depression in older Ethiopian adults.ConclusionOur systematic review and meta-analysis showed that almost two out of five older adults had depression. Female sex, no formal education, having chronic diseases, and no social support were the independent predictors of depression among older adults in Ethiopia. The study emphasizes that depression among older adults in Ethiopia calls for appropriate screening and interventions to reduce the occurrence and its overwhelming consequences.

Mental problems and risk factors for depression among medical students during the COVID-19 pandemic: A cross-sectional study.

Prevalence of depression is high among medical students and several mental problems are identified as risk factors. Coronavirus disease 2019 (COVID-19) pandemic causes difficulties that could adversely affect mental health. However, data concerning prevalence of mental problems, and whether or not these problems remain risk factors for depression during the COVID-19 pandemic in medical students are scarce. To investigate the prevalence of depression, social media addiction, game addiction, sleep quality, eating disorder risk, and perceived stress among Thai medical students, risk factors for depression were investigated. Online surveys via our faculty’s learning portals were advertized to medical students who engaged online learning and 224 respondents provided complete data. Study-related medical students’ data were collected using the Patient Health Questionnaire-9 for depression, the Social-Media Addiction Screening Scale for social media addiction, the Game Addiction Screening Test for game addiction, the Pittsburgh Sleep Quality Index for sleep quality, the Eating Attitudes Test for eating disorder risk, and the Perceived Stress Scale for perceived stress. Depression was reported in 35.7% of medical students, social-media addiction in 22.3%, game addiction in 4.5%, eating disorder risk in 4.9%, poor sleep quality in 80.8%, and moderate-to-high perceived stress in 71.4%. The independent predictors of depression were lower grade point average, social media addiction, and moderate-to-high perceived stress. A high prevalence of depression, stress, and poor sleep was found among medical students during the COVID-19 pandemic. Medical students who are stressed, have lower grades, and/or who are addicted to social media warrant depression screening.

Predictors of Anxiety and Depression in Differentiated Thyroid Cancer Survivors: Results of a Cross-Sectional Study.

Background: Despite an excellent survival rate, impairments are recognized in the quality of life and emotional well-being of differentiated thyroid cancer (DTC) survivors. Predictors for anxiety and depression in DTC patients are not well characterized. Objective: To identify predictors for anxiety and depression in DTC survivors. Methods: In this cross-sectional study, all DTC survivors presenting for follow-up between 2014 and 2019 in a tertiary referral hospital were asked to complete the "Hospital Anxiety and Depression Scale" (HADS). Depression (HADS-D) and anxiety (HADS-A) subscores were dichotomized for analysis. Univariate and multivariable logistic regression analyses were performed to identify predictors of anxiety and depression. Inverse probability weighting was applied to correct for bias due to nonresponse. Results: Six hundred forty patients meeting study inclusion criteria completed the HADS questionnaire (73% female, mean age 50 years). Of these, 37.6% and 15.7% of patients demonstrated HADS-A and HADS-D scores ≥8. Female sex, elevated body mass index (BMI), permanent recurrent laryngeal nerve damage (RLND), permanent hypoparathyroidism (PH), comorbidities classified in chapter XIX of the International Classification of Diseases, 10th Revision (ICD-10; external causes of morbidity and mortality), and comorbidities in chapter XXI of ICD-10 (factors influencing health status and contact with health services) were independent predictors for elevated anxiety scores with adjusted odds ratios of 1.9 ([CI 1.2-3.2], p < 0.01), 1.0 ([CI 1.0-1.1], p = 0.02), 2.6 ([CI 1.0-6.3], p = 0.04), 2.0 ([CI 1.1-3.5], p = 0.02), 5.5 ([CI 1.0-29.6], p < 0.05), and 1.7 ([CI 1.1-2.6], p = 0.03). PH, elevated anti-Tg titer, comorbidities of the digestive system (chapter XI of ICD-10), and comorbidities of the genitourinary system (chapter XIV of ICD-10) were independent predictors for depression with adjusted odds ratios of 2.2 ([CI 1.2-4.2], p = 0.01), 1.0 ([CI 1.0-1.0], p = 0.04), 3.0 ([CI 1.5-6.1], p < 0.01), and 2.4 ([CI 1.0-5.7], p = 0.04). Conclusions: Female sex, elevated BMI, RLND, PH, and comorbidities classified in chapter XIX and chapter XXI of ICD-10 are predictors for anxiety in DTC patients. PH, elevated anti-Tg titer, comorbidities of the digestive system, and comorbidities of the genitourinary system are predictors for depression in DTC patients. Physicians involved in the follow-up of DTC patients should devote particular attention to the emotional well-being in DTC patients with PH or permanent RLND.

Mental health burden and predictors among Egyptian healthcare workers during the COVID-19 pandemic

Background: The coronavirus disease 2019 (COVID-19) pandemic is known to have negatively affected the physical and mental well-being of healthcare workers. Estimating such a burden in a limited-resource setting may be essential in the ongoing fight against the pandemic. This research aims to assess the prevalence of mental health problems, that is, depression and anxiety, among healthcare workers during the COVID-19 pandemic in Egypt and their associated factors and predictors. Methods: A cross-sectional study was conducted through an online survey to screen for anxiety using the Generalized Anxiety Disorder (GAD-7) score and depression using the Patient Health Questionnaire (PHQ-9) score among healthcare workers in direct or indirect contact with COVID-19 cases. Results: Analysis of participants’ responses showed that 36.7% suffered from depression, while 30.7% had moderate to severe anxiety. Independent predictors of depression were feeling unsure or dissatisfied with one’s income (AOR =8.87 and 8.51, respectively), working exclusively in private or governmental hospitals (AOR = 8.15 and 5.1, respectively), and serving in central or insurance hospitals (AOR = 2.21). Meanwhile, independent predictors of anxiety were working in governmental hospitals (AOR = 5.87), working duration from 5 to 10 years (AOR = 4.65), and suffering from other comorbidities (AOR = 2.18). Working as a nurse was a protective factor against anxiety (AOR = 0.36). Conclusions: The COVID-19 pandemic considerably affected the mental well-being of health care workers in Egypt. Income, type of hospital, working duration, and other comorbidities were the main predictors of health care workers’ mental health. Examining the mental burden of the pandemic on health care workers is important so that current and future crises can be managed better.

Problematic Use of Social Media Platforms and Its Association With Depression in Pharmacy Students

Objectives. The objective of this investigation is to examine the association between depression and problematic use of social media among university students with a focus on the differential effect of studying pharmacy as compared to other disciplines.Methods. A cross sectional study was conducted using an online survey that recruited students from different disciplines at one university. Problematic use of social media was measured using the Bergen Social Media Addiction Scale. Depression was assessed using the patient health questionnaire-9 (PHQ-9).Results. Responses from 105 respondents out of 140 invited were analyzed. The average age of participants was 19.9 years (SD=2.1 years). Forty-seven participants (44.8%) reported depression. Depression was less prevalent in pharmacy students than in students of other disciplines (35.7% vs 62.9%, respectively). Social media addiction score (OR: 1.07; 95% CI: 1.01-1.12) and pharmacy discipline (OR: 0.2; 95%: 0.02-0.66) were identified as independent predictors of depression. The extent of problematic use of social media was similar between pharmacy and non-pharmacy students (49.8 and 52.7, respectively).Conclusion Studying pharmacy may have a differential effect on the association between problematic use of social media and the development of depression among undergraduate university students.