Prevalence of neuropsychiatric conditions and cognitive impairment in two parallel, aging study cohorts from rural and urban India.

INTRODUCTION: With the rising proportion of the elderly in India, the burden of neuropsychiatric conditions and cognitive impairment is escalating. METHODS: Baseline data of cognitively healthy subjects ≥45 years of age, from two longitudinal, aging cohorts in rural (n = 3262) and urban (n = 693) India, were used to calculate prevalence of depression, early-life stressful events, stroke, head injury, and cognitive impairment. RESULTS: Depression prevalence was significantly higher in rural than urban subjects, with female preponderance in both groups. Early life stressor (parental death) and head injury were significantly more common in rural than in urban India, whereas stroke was more in urban India. There was no significant difference in overall prevalence of cognitive impairment between the rural and urban cohorts; however, women had higher prevalence than men in rural, whereas this was reverse in urban subjects. Depression and stroke were significantly associated with cognitive impairment in the rural cohort. DISCUSSION: Longitudinal assessment of these neuropsychiatric conditions, with parallel cognitive monitoring, will help identify their causal relationship with dementia.

Depression and anxiety during the first and second waves of the COVID-19 pandemic in two large, prospective, aging cohorts in rural and urban India.

Introduction: The COVID-19 pandemic resulted in a wide variety of adverse consequences, including disruption of long-term, human research studies globally. Two long-term, prospective, aging cohort studies, namely, Srinivaspura Aging, Neurosenescence and COGnition (SANSCOG) study and Tata Longitudinal Study of Aging (TLSA), conducted in rural and urban India, respectively, had to be suspended during first and second waves of COVID-19. Methods: We conducted telephonic assessments to screen for depression and anxiety in the above two cohorts comprising of adults ≥45 years, during the first wave (2020) and second wave (2021) lockdown periods in India. Further, we included depression assessments data from two additional time periods-pre-COVID (2019) and the "inter-wave" period (between the first and second waves) to compare proportions of depression in these cohorts, during four distinct time periods-(i) pre-COVID, (ii) COVID first wave lockdown, (iii) inter-wave period, and (iv) COVID second wave lockdown (rural: 684, 733, 458, 611 and urban: 317, 297, 204, 305 respectively). Results: During COVID first wave, 28.8% and 5.5% had depression and anxiety, respectively in the rural cohort. Corresponding figures in the urban cohort were 6.5% and 1.7%. During second wave, 28.8% of rural subjects had depression and 3.9% had anxiety, whereas corresponding figures in urban subjects were 13.1% and 0.66%. During the above-mentioned four time periods, proportions of depression were: rural-8.3%, 28.8%, 16.6%, 28.8%; urban-12%, 6.1%, 8.8%, 13.1%. Conclusions: Multi-fold increase in depression among aging, rural Indians during first and second waves, with high depression among subjects ≥65 years and those with comorbidities during the first wave, is concerning. Urgent public health measures are needed to address this added mental health burden and thereby, prevent further potential adverse consequences.

Rural-urban and gender differences in metabolic syndrome in the aging population from southern India: Two parallel, prospective cohort studies.

Background: Despite the growing evidence of metabolic syndrome as a major risk factor for cardiovascular and cerebrovascular disease, there are limited studies from India on its prevalence, especially in the aging population. We aimed to estimate the prevalence of metabolic syndrome and associated comorbidities in two prospective, aging cohorts from rural and urban India. Methods: In these two parallel, prospective, aging (≥ 45 years) cohorts, the samples included 2171 people from rural India (Srinivaspura Aging, Neuro Senescence and COGnition, SANSCOG cohort; April 23, 2018 to Sept 25, 2021) and 332 people from urban India (Tata Longitudinal Study on Aging, TLSA cohort; July 8, 2015 to Oct 23, 2021). Using cross-sectional data from baseline clinical and biochemical assessments, we calculated metabolic syndrome prevalence using two well established criteria, namely consensus criteria and National Cholesterol Education Program - Adult Treatment Panel III (NCEP-ATP III) criteria; further, rural-urban, gender, and age-wise differences were compared. Findings: Proportions of metabolic syndrome were 46.2 and 54.8% as per consensus criteria in rural and urban participants, respectively; corresponding numbers using NCEP-ATP III criteria were 40.3 and 45.1%. Rural-dwelling older adults had a significantly lesser prevalence of all individual metabolic syndrome parameters except impaired triglycerides and high-density lipoprotein levels. Rural women had a significantly higher prevalence of metabolic syndrome than rural men, whereas there was no significant difference among urban participants. We did not observe any consistent age-wise trend when comparing both cohorts. There was high burden of comorbidities among both groups, mostly undiagnosed in rural participants. Interpretation: Roughly one in two older adults had metabolic syndrome, urban significantly more than rural, reaching an alarming 63.1% among urban participants aged 65-74 years. The very high prevalence of undiagnosed co-morbidities among rural adults is extremely concerning, calling for urgent public health measures in this marginalised and health-disparate population. Funding: SANSCOG study is funded through the Centre for Brain Research (CBR), Indian Institute of Science (IISc) by Pratiksha Trust, the philanthropic arm of Mr. Kris Gopalakrishnan. TLSA is funded by Tata Trusts.