Rural-urban disparities in the diagnosis and treatment of hypertension and diabetes among aging Indians

INTRODUCTION: Hypertension and diabetes are modifiable risk factors for dementia. We aimed to assess rural-urban disparities in the diagnosis and treatment of these conditions among aging Indians.METHODS: Participants (n = 6316) were from two parallel, prospective aging cohorts in rural and urban India. Using self-report and clinical/biochemical assessments, we subdivided participants with diabetes and hypertension into undiagnosed and untreated groups. Logistic regression and Fairlie decomposition analysis were the statistical methods utilized.RESULTS: There was a significant rural-urban disparity in undiagnosed hypertension (25.14%), untreated hypertension (11.75%), undiagnosed diabetes (16.94%), and untreated diabetes (11.62%). Further, sociodemographic and lifestyle factors, such as age and tobacco use were the common contributors to the disparities in both undiagnosed hypertension and undiagnosed diabetes, whereas education and body mass index (BMI) were significant contributors to the disparity in untreated hypertension.DISCUSSION: Rural Indians face significant healthcare disadvantages as compared to their urban counterparts, which prompts the urgent need for strategies for equitable healthcare.</p

Normative data for three physical frailty parameters in an aging, rural Indian population

Abstract Introduction Physical frailty is associated with multiple adverse health outcomes. Since physical characteristics markedly vary with different populations, population‐specific norms for physical frailty parameters are necessary. Such norms are lacking for the Indian population, especially for older, rural Indians. We aimed to develop normative values for three quantitative, frailty parameters—handgrip strength, “Timed Up‐and‐Go” (TUG) test time, and physical activity in an aging, rural Indian population. Methods The study sample is from an ongoing, prospective, cohort (Srinivaspura NeuoSenescence and COGnition, SANSCOG) comprised of rural, community‐dwelling, cognitively healthy, aging Indians. Subjects are recruited through area sampling strategy, from villages of Srinivaspura, Kolar district, Karnataka state, India. Three physical frailty parameters of Fried's phenotype—handgrip strength (n = 1787), TUG time (n = 1863), and physical activity (n = 1640) were assessed using digital hand dynamometry, TUG test, and General Physical Activity Questionnaire (GPAQ), respectively. Results The 10th, 25th, 50th, 75th, 90th percentiles for the three frailty parameters were: right‐hand grip strength (kg): males—13.9, 18.6, 23.8, 28.7, 33.7 and females—7.8, 10.6, 14.2, 17.9, 21.3; left‐hand grip strength (kg): males—13.3, 18.3, 23.6, 28.9, 32.9 and females—7.9, 10.5, 14.3, 17.8, 21.2; TUG time (s): males—9.1, 10.1, 11.4, 13.4, 15.5 and females—9.5, 10.7, 12.4, 14.5, 16.6; physical activity (MET‐minutes/week): males—1680; 4320; 8880; 15,840; 23,352 and females—1680; 4320; 9240; 15,120; 20,160. Discussion Our findings show that from 45 years onwards, overall grip strength decreases and TUG time increases, with women performing significantly poorer than men across all age groups, except >75 years, where no differences were seen. Physical activity did not show any consistent trend according to age or gender. Reference values for this aging, rural Indian population were substantially lower for grip strength and higher for TUG time than aging populations in several Western and other Asian countries

Sex-specific differences in the association between APOE genotype and metabolic syndrome among middle-aged and older rural Indians

Background: Metabolic syndrome (MetS), characterized by elevated blood pressure, high blood glucose, excess abdominal fat, and abnormal cholesterol or triglyceride levels, significantly increases the risk of various non-communicable diseases. This study focuses on understanding the sex-specific association between Apolipoprotein E (APOE) polymorphism and MetS among middle-aged and older adults in rural southern India. Methods: This cross-sectional study utilized data from the Centre for Brain Research-Srinivaspura Aging, Neuro Senescence, and COGnition (CBR-SANSCOG) study. Participants (n = 3741) underwent comprehensive clinical assessments and blood investigations, including APOE genotyping. MetS was defined using the National Cholesterol Education Program – Adult Treatment Panel III (NCEP ATP III) and the Consensus criteria. Statistical analyses, including chi-square tests, ANCOVA, and logistic regression, were conducted to explore the association of APOE genotype with MetS and its components, stratified by sex. Results: Females carrying the APOE E4 allele had 1.31-fold increased odds of MetS (95 % CI: 1.02,1.69, p = 0.035) according to the NCEP ATP III criteria but not when the Consensus criteria were applied. The study also noted sex-specific differences in the association of APOE with various MetS components, including lipid levels and waist circumference. Discussion: Our findings reveal a sex-specific association between the APOE E4 allele and MetS, with only females having an increased risk. This study contributes to the understanding of the genetic underpinnings of MetS and highlights the importance of considering sex-specific differences in MetS research and its prevention strategies. This study underscores the complexity of MetS etiology and emphasizes the need for further research to elucidate the role of genetic, environmental, and lifestyle factors in its progression, particularly in sex-specific contexts

Impact of the COVID-19 pandemic on some modifiable risk factors of dementia in an aging, rural Indian population

IntroductionThe impact of the COVID-19 pandemic and associated lockdowns is likely to have caused adverse changes in lifestyle-related/cardiovascular risk factors and other such modifiable risk factors of dementia. We aimed to examine the pandemic’s impact on some modifiable risk factors of dementia among rural Indians belonging to a large, prospective aging cohort—Srinivaspura Aging, NeuoSenescence, and COGnition (SANSCOG).MethodsThis was a cross-sectional study among adults aged ≥ 45 years (n = 3,148; 1,492 males and 1,656 females) residing in the villages of Srinivaspura in Karnataka state, India. SANSCOG study data (clinical and biochemical assessments) of these participants were obtained from three distinct periods: (i) the “pre-COVID period”—before India’s nationwide lockdown on 24 March 2020, (ii) the “COVID period”—during the first and second waves of the pandemic, wherein the social restrictions were prominent (25 March 2020 to 30 September 2021), and (iii) the “post-COVID period”—after easing of restrictions (from 1 October 2021 onward). Proportions of participants with diabetes, hypertension, obesity, dyslipidemia (diagnosed using standard criteria), and depression (diagnosed using the Geriatric Depression Scale) were compared between the above three periods.ResultsThe odds of having obesity, abnormal triglycerides, and depression among individuals in the COVID period were 1.42 times, 1.38 times, and 2.65 times more than the odds in the pre-COVID period, respectively. The odds of having hypertension, obesity, abnormal total cholesterol, abnormal triglycerides, abnormal LDL, and depression among individuals in the post-COVID period were 1.27 times, 1.32 times, 1.58 times, 1.95, 1.23, and 3.05 times more than the odds in the pre-COVID period, respectively. The odds of diabetes did not differ between any of the three periods.DiscussionWe found significantly higher odds of some of the studied risk factors in the COVID and post-COVID periods compared to the pre-COVID period, suggesting that the pandemic adversely impacted the physical and psychological health of this marginalized, rural Indian population. We call for urgent public health measures, such as multimodal, lifestyle-based, and psychosocial interventions, to mitigate this negative impact and reduce the future risk of 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

Abstract 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

Chronic neuropsychiatric sequelae of SARS‐CoV‐2: Protocol and methods from the Alzheimer's Association Global Consortium

Introduction: Coronavirus disease 2019 (COVID‐19) has caused >3.5 million deaths worldwide and affected >160 million people. At least twice as many have been infected but remained asymptomatic or minimally symptomatic. COVID‐19 includes central nervous system manifestations mediated by inflammation and cerebrovascular, anoxic, and/or viral neurotoxicity mechanisms. More than one third of patients with COVID‐19 develop neurologic problems during the acute phase of the illness, including loss of sense of smell or taste, seizures, and stroke. Damage or functional changes to the brain may result in chronic sequelae. The risk of incident cognitive and neuropsychiatric complications appears independent from the severity of the original pulmonary illness. It behooves the scientific and medical community to attempt to understand the molecular and/or systemic factors linking COVID‐19 to neurologic illness, both short and long term. Methods: This article describes what is known so far in terms of links among COVID‐19, the brain, neurological symptoms, and Alzheimer's disease (AD) and related dementias. We focus on risk factors and possible molecular, inflammatory, and viral mechanisms underlying neurological injury. We also provide a comprehensive description of the Alzheimer's Association Consortium on Chronic Neuropsychiatric Sequelae of SARS‐CoV‐2 infection (CNS SC2) harmonized methodology to address these questions using a worldwide network of researchers and institutions. Results: Successful harmonization of designs and methods was achieved through a consensus process initially fragmented by specific interest groups (epidemiology, clinical assessments, cognitive evaluation, biomarkers, and neuroimaging). Conclusions from subcommittees were presented to the whole group and discussed extensively. Presently data collection is ongoing at 19 sites in 12 countries representing Asia, Africa, the Americas, and Europe. Discussion: The Alzheimer's Association Global Consortium harmonized methodology is proposed as a model to study long‐term neurocognitive sequelae of SARS‐CoV‐2 infection. Key Points: The following review describes what is known so far in terms of molecular and epidemiological links among COVID‐19, the brain, neurological symptoms, and AD and related dementias (ADRD) The primary objective of this large‐scale collaboration is to clarify the pathogenesis of ADRD and to advance our understanding of the impact of a neurotropic virus on the long‐term risk of cognitive decline and other CNS sequelae. No available evidence supports the notion that cognitive impairment after SARS‐CoV‐2 infection is a form of dementia (ADRD or otherwise). The longitudinal methodologies espoused by the consortium are intended to provide data to answer this question as clearly as possible controlling for possible confounders. Our specific hypothesis is that SARS‐CoV‐2 triggers ADRD‐like pathology following the extended olfactory cortical network (EOCN) in older individuals with specific genetic susceptibility. The proposed harmonization strategies and flexible study designs offer the possibility to include large samples of under‐represented racial and ethnic groups, creating a rich set of harmonized cohorts for future studies of the pathophysiology, determinants, long‐term consequences, and trends in cognitive aging, ADRD, and vascular disease. We provide a framework for current and future studies to be carried out within the Consortium. and offers a “green paper” to the research community with a very broad, global base of support, on tools suitable for low‐ and middle‐income countries aimed to compare and combine future longitudinal data on the topic. The Consortium proposes a combination of design and statistical methods as a means of approaching causal inference of the COVID‐19 neuropsychiatric sequelae. We expect that deep phenotyping of neuropsychiatric sequelae may provide a series of candidate syndromes with phenomenological and biological characterization that can be further explored. By generating high‐quality harmonized data across sites we aim to capture both descriptive and, where possible, causal associations

Chronic neuropsychiatric sequelae of SARS‐CoV‐2: Protocol and methods from the Alzheimer's Association Global Consortium

Abstract Introduction Coronavirus disease 2019 (COVID‐19) has caused >3.5 million deaths worldwide and affected >160 million people. At least twice as many have been infected but remained asymptomatic or minimally symptomatic. COVID‐19 includes central nervous system manifestations mediated by inflammation and cerebrovascular, anoxic, and/or viral neurotoxicity mechanisms. More than one third of patients with COVID‐19 develop neurologic problems during the acute phase of the illness, including loss of sense of smell or taste, seizures, and stroke. Damage or functional changes to the brain may result in chronic sequelae. The risk of incident cognitive and neuropsychiatric complications appears independent from the severity of the original pulmonary illness. It behooves the scientific and medical community to attempt to understand the molecular and/or systemic factors linking COVID‐19 to neurologic illness, both short and long term. Methods This article describes what is known so far in terms of links among COVID‐19, the brain, neurological symptoms, and Alzheimer's disease (AD) and related dementias. We focus on risk factors and possible molecular, inflammatory, and viral mechanisms underlying neurological injury. We also provide a comprehensive description of the Alzheimer's Association Consortium on Chronic Neuropsychiatric Sequelae of SARS‐CoV‐2 infection (CNS SC2) harmonized methodology to address these questions using a worldwide network of researchers and institutions. Results Successful harmonization of designs and methods was achieved through a consensus process initially fragmented by specific interest groups (epidemiology, clinical assessments, cognitive evaluation, biomarkers, and neuroimaging). Conclusions from subcommittees were presented to the whole group and discussed extensively. Presently data collection is ongoing at 19 sites in 12 countries representing Asia, Africa, the Americas, and Europe. Discussion The Alzheimer's Association Global Consortium harmonized methodology is proposed as a model to study long‐term neurocognitive sequelae of SARS‐CoV‐2 infection. Key Points The following review describes what is known so far in terms of molecular and epidemiological links among COVID‐19, the brain, neurological symptoms, and AD and related dementias (ADRD) The primary objective of this large‐scale collaboration is to clarify the pathogenesis of ADRD and to advance our understanding of the impact of a neurotropic virus on the long‐term risk of cognitive decline and other CNS sequelae. No available evidence supports the notion that cognitive impairment after SARS‐CoV‐2 infection is a form of dementia (ADRD or otherwise). The longitudinal methodologies espoused by the consortium are intended to provide data to answer this question as clearly as possible controlling for possible confounders. Our specific hypothesis is that SARS‐CoV‐2 triggers ADRD‐like pathology following the extended olfactory cortical network (EOCN) in older individuals with specific genetic susceptibility. The proposed harmonization strategies and flexible study designs offer the possibility to include large samples of under‐represented racial and ethnic groups, creating a rich set of harmonized cohorts for future studies of the pathophysiology, determinants, long‐term consequences, and trends in cognitive aging, ADRD, and vascular disease. We provide a framework for current and future studies to be carried out within the Consortium. and offers a “green paper” to the research community with a very broad, global base of support, on tools suitable for low‐ and middle‐income countries aimed to compare and combine future longitudinal data on the topic. The Consortium proposes a combination of design and statistical methods as a means of approaching causal inference of the COVID‐19 neuropsychiatric sequelae. We expect that deep phenotyping of neuropsychiatric sequelae may provide a series of candidate syndromes with phenomenological and biological characterization that can be further explored. By generating high‐quality harmonized data across sites we aim to capture both descriptive and, where possible, causal associations

Chronic neuropsychiatric sequelae of SARS-CoV-2: Protocol and methods from the Alzheimer's Association Global Consortium.

INTRODUCTION: Coronavirus disease 2019 (COVID-19) has caused >3.5 million deaths worldwide and affected >160 million people. At least twice as many have been infected but remained asymptomatic or minimally symptomatic. COVID-19 includes central nervous system manifestations mediated by inflammation and cerebrovascular, anoxic, and/or viral neurotoxicity mechanisms. More than one third of patients with COVID-19 develop neurologic problems during the acute phase of the illness, including loss of sense of smell or taste, seizures, and stroke. Damage or functional changes to the brain may result in chronic sequelae. The risk of incident cognitive and neuropsychiatric complications appears independent from the severity of the original pulmonary illness. It behooves the scientific and medical community to attempt to understand the molecular and/or systemic factors linking COVID-19 to neurologic illness, both short and long term. METHODS: This article describes what is known so far in terms of links among COVID-19, the brain, neurological symptoms, and Alzheimer's disease (AD) and related dementias. We focus on risk factors and possible molecular, inflammatory, and viral mechanisms underlying neurological injury. We also provide a comprehensive description of the Alzheimer's Association Consortium on Chronic Neuropsychiatric Sequelae of SARS-CoV-2 infection (CNS SC2) harmonized methodology to address these questions using a worldwide network of researchers and institutions. RESULTS: Successful harmonization of designs and methods was achieved through a consensus process initially fragmented by specific interest groups (epidemiology, clinical assessments, cognitive evaluation, biomarkers, and neuroimaging). Conclusions from subcommittees were presented to the whole group and discussed extensively. Presently data collection is ongoing at 19 sites in 12 countries representing Asia, Africa, the Americas, and Europe. DISCUSSION: The Alzheimer's Association Global Consortium harmonized methodology is proposed as a model to study long-term neurocognitive sequelae of SARS-CoV-2 infection. KEY POINTS: The following review describes what is known so far in terms of molecular and epidemiological links among COVID-19, the brain, neurological symptoms, and AD and related dementias (ADRD)The primary objective of this large-scale collaboration is to clarify the pathogenesis of ADRD and to advance our understanding of the impact of a neurotropic virus on the long-term risk of cognitive decline and other CNS sequelae. No available evidence supports the notion that cognitive impairment after SARS-CoV-2 infection is a form of dementia (ADRD or otherwise). The longitudinal methodologies espoused by the consortium are intended to provide data to answer this question as clearly as possible controlling for possible confounders. Our specific hypothesis is that SARS-CoV-2 triggers ADRD-like pathology following the extended olfactory cortical network (EOCN) in older individuals with specific genetic susceptibility.The proposed harmonization strategies and flexible study designs offer the possibility to include large samples of under-represented racial and ethnic groups, creating a rich set of harmonized cohorts for future studies of the pathophysiology, determinants, long-term consequences, and trends in cognitive aging, ADRD, and vascular disease.We provide a framework for current and future studies to be carried out within the Consortium. and offers a "green paper" to the research community with a very broad, global base of support, on tools suitable for low- and middle-income countries aimed to compare and combine future longitudinal data on the topic.The Consortium proposes a combination of design and statistical methods as a means of approaching causal inference of the COVID-19 neuropsychiatric sequelae. We expect that deep phenotyping of neuropsychiatric sequelae may provide a series of candidate syndromes with phenomenological and biological characterization that can be further explored. By generating high-quality harmonized data across sites we aim to capture both descriptive and, where possible, causal associations