Addressing the mental health needs of India's aging population: Understanding depression prevalence and social risk factors in tertiary care outpatients.

Background: Depression is a major public health problem among older persons. Identifying the prevalence and recognizing modifiable risk factors of depression in older persons is essential for early diagnosis and appropriate management. Apart from traditional risk factors, medical comorbidities, chronic illness, and social factors can contribute to depression in the older person. This study aimed to estimate the prevalence of depression and identify the medical and social risk factors associated with depression in older persons attending a geriatric outpatient clinic. Methods: Consecutive patients aged over 60 years presented to the geriatric outpatient clinic of the Christian Medical College (CMC) and Hospital, Vellore, were screened using the Physical Health Questionnaire-2 (PHQ-2) and Geriatric Depression Scale (GDS). Medical, social, and financial information were collected. Following a detailed clinical interview, the Clinical Interview Schedule-Revised (CIS-R) was administered and the ICD-10 diagnosis of depression was derived. Results: A total of 171 participants were recruited. The prevalence of depression was found to be 53.2% with PHQ-2 and 35.6% with GDS. Using CIS-R, 41.5% had an ICD-10 diagnosis of depression. The risk factors associated with depression in older persons were female gender, financial insecurity, lack of pension, and financial dependence. Conclusion: This study revealed a high prevalence of depression among older persons attending a geriatric outpatient clinic. Financial insecurities, particularly lack of pension or financial dependence, were identified as significant social risk factors for depression. Addressing these risk factors may help prevent the onset or progression of depression, thus improving their quality of life.

Weight Stigma in Patients With Obesity and Its Clinical Correlates: A Perspective From an Indian Bariatric Clinic.

Introduction Obesity being a global epidemic, currently has several adverse health outcomes. Weight stigma is a significant barrier to delivering quality services and also impairs clinical progress. We intended to study the association of stigma with demographic and clinical variables in obese patients to identify the obstacles in treatment-seeking, so stigma could be adequately addressed to improve clinical outcomes. Methods This study was a retrospective chart review in a Bariatric clinic in a tertiary care hospital. The weight self-stigma questionnaire (WSSQ) was routinely used in the clinic. Demographic and clinical data were collected for 146 obese patients.  Results Female patients (73%) had higher stigma scores. The mean total stigma score was 41.6(SD 3.83), the total self-devaluation score was 21.88(SD 2.10), total fear of enacted stigma was 21.26(SD 2.33). Multivariate analysis revealed an association between stigma with multiple dysfunctional eating patterns like bingeing, overeating, and grazing (Adjusted aOR 3.86, 95% CI- 1.66-8.96) and psychiatric diagnosis (adjusted aOR 3.00, CI- 1.25-7.17). Conclusion This study found an association between stigma and certain clinical variables that maintain and worsen obesity and comorbid psychiatric diagnoses. This highlights the importance of an assessment of mental health and stigma in general practice when dealing with patients with obesity. Treating the underlying psychiatric comorbidities and addressing unhealthy eating behaviors can help reduce self-stigma. Stigma is a barrier to treatment-seeking that needs to be addressed in the community.

The Prevalence and Predictors of Non-alcoholic Fatty Liver Disease in Morbidly Obese Women - A Cross-sectional Study from Southern India.

BACKGROUND: The prevalence of obesity is increasing rapidly in India and so are its associated comorbidities. Non-alcoholic fatty liver disease (NAFLD), the hepatic manifestation of metabolic syndrome, is commonly associated with obesity. However, limited data are available on its prevalence and clinical indicators among morbidly obese Indian women. The aim of our study was to find the prevalence of NAFLD in morbidly obese Indian women and study the clinically measurable obesity indicators that would best predict NAFLD. METHODS: This was a cross-sectional study, conducted in the Department of Endocrinology, Diabetes and Metabolism, Christian Medical College, Vellore. Women were enrolled who were diagnosed to have NAFLD on sonography. Anthropometric variables, such as body mass index, waist circumference, hip circumference, waist-hip ratio and waist-height ratio were measured and compared between the two groups. SPSS Statistics 21.0 software was used for analysing the data. RESULTS: One hundred and six consecutive, morbidly obese women were recruited in this study. Nearly three-quarters (73.6%) of the 106 morbidly obese participants were found to have NAFLD. We found waist circumference, body mass index and waist-height ratio to be most useful in distinguishing between patients with and without NAFLD, and found waist-height ratio was the best screening tool for diagnosing NAFLD. CONCLUSION: NAFLD is present in a large proportion of morbidly obese women. Waist-height ratio could be used a surrogate screening tool to detect NAFLD in resource-constrained settings.

Metabolic Score for Visceral Fat (METS-VF) Estimation - A Novel Cost-Effective Obesity Indicator for Visceral Adipose Tissue Estimation.

BACKGROUND: Visceral adipose tissue (VAT) assessment is limited in clinical practice due to expensive, time consuming and limited availability of MRI and DXA machines. We explored the utility of a recently developed Metabolic Score for Visceral Fat (METS-VF) to assess VAT in south Asian individuals with morbid obesity. PATIENTS AND METHODS: Individuals with BMI ≥35 kg/m2 aged between 30 and 60 years were randomly selected from a database of individuals with morbid obesity, attending a multi-disciplinary bariatric clinic in a tertiary care teaching hospital in southern India. Body composition was assessed by using a Hologic Discovery A dual-energy X-ray absorptiometry (DXA) machine. METS-VF was used to estimate VAT by using a previously published algorithm. RESULTS: The mean age and body mass index of the study subjects (N=350) were 38.2 years and 40.1 kg/m2. The MET-VF score performed satisfactorily (AUC of 0.78 (95% CI 0.72-0.85)) for predicting an increased visceral adipose tissue (VAT area ≥ 163 cm2) as detected by DXA. A METS-VF value of 7.3 was found to have a good sensitivity and reasonable specificity in predicting elevated VAT in this population. CONCLUSION: This is the first study to validate the utility of METS-VF as a surrogate measure of visceral adiposity in south Indian individuals with morbid obesity. Given the simplicity, easy availability, reliability and inexpensive nature of this obesity indicator, it may find its widespread use in lower middle-income countries.