Cohort Profile: Real-Time Insights of COVID-19 in India (RTI COVID-India).

BACKGROUND: The coronavirus disease (COVID) pandemic caused disruption globally and was particularly distressing in low- and middle-income countries such as India. This study aimed to provide population representative estimates of COVID-related outcomes in India over time and characterize how COVID-related changes and impacts differ by key socioeconomic groups across the life course. METHODS: The sample was leveraged from an existing nationally representative study on cognition and dementia in India: Harmonized Diagnostic Assessment of Dementia for the Longitudinal Aging Study in India (LASI-DAD). The wave-1 of LASI-DAD enrolled 4096 older adults aged 60 years and older in 3316 households from 18 states and union territories of India. Out of the 3316 LASI-DAD households, 2704 with valid phone numbers were contacted and invited to participate in the Real-Time Insights COVID-19 in India (RTI COVID-India) study. RTI COVID-India was a bi-monthly phone survey that provided insight into the individual's knowledge, attitudes, and behaviour towards COVID-19 and changes in the household's economic and health conditions throughout the pandemic. The survey was started in May 2020 and 9 rounds of data have been collected. FINDINGS TILL DATE: Out of the 2704 LASI-DAD households with valid phone numbers, 1766 households participated in the RTI COVID-India survey at least once. Participants were in the age range of 18-102 years, 49% were female, 66% resided in rural area. Across all rounds, there was a higher report of infection among respondents aged 60-69 years. There was a greater prevalence of COVID-19 diagnosis reported in urban (23.0%) compared to rural areas (9.8%). Respondents with higher education had a greater prevalence of COVID-19 diagnosis compared to those with lower or no formal education. Highest prevalence of COVID-19 diagnosis was reported from high economic status compared to middle and low economic status households. Comparing education gradients in experiencing COVID-19 symptoms and being diagnosed, we observe an opposite pattern: respondents with no formal schooling reported the highest level of experiencing COVID-19 symptoms, whereas the greatest proportion of the respondents with secondary school or higher education reported being diagnosed with COVID-19. FUTURE PLANS: The study group will analyse the data collected showing the real-time changes throughout the pandemic and will make the data widely available for researchers to conduct further studies.

Prevalence of dementia in India: National and state estimates from a nationwide study.

INTRODUCTION: Prior estimates of dementia prevalence in India were based on samples from selected communities, inadequately representing the national and state populations. METHODS: From the Longitudinal Aging Study in India (LASI) we recruited a sample of adults ages 60+ and administered a rich battery of neuropsychological tests and an informant interview in 2018 through 2020. We obtained a clinical consensus rating of dementia status for a subsample (N = 2528), fitted a logistic model for dementia status on this subsample, and then imputed dementia status for all other LASI respondents aged 60+ (N = 28,949). RESULTS: The estimated dementia prevalence for adults ages 60+ in India is 7.4%, with significant age and education gradients, sex and urban/rural differences, and cross-state variation. DISCUSSION: An estimated 8.8 million Indians older than 60 years have dementia. The burden of dementia cases is unevenly distributed across states and subpopulations and may therefore require different levels of local planning and support. HIGHLIGHTS: The estimated dementia prevalence for adults ages 60+ in India is 7.4%. About 8.8 million Indians older than 60 years live with dementia. Dementia is more prevalent among females than males and in rural than urban areas. Significant cross-state variation exists in dementia prevalence.

Performance of the Informant Questionnaire on Cognitive Decline for the Elderly (IQCODE) in a nationally representative study in India: the LASI-DAD study.

BACKGROUND: Low and middle-income countries like India anticipate rapid population aging and increases in dementia burden. In India, dementia screening scales originally developed in other contexts need to be assessed for feasibility and validity, given the number of different languages and varying levels of literacy and education. METHOD: Using data from the Longitudinal Aging Study in India-Diagnostic Assessment of Dementia (N = 4,028), we characterize the performance of the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE). We described patterns and correlates of missingness, evaluated the psychometric properties of the scale, and assessed criterion validity against the Hindi Mental State Examination (HMSE) using linear regression. RESULTS: Several IQCODE items had high levels of missingness, which was associated with urbanicity, respondent's gender, and informant's generation (same vs. younger generation). Full IQCODE scores showed strong criterion validity against the HMSE; each 1-point increase in IQCODE score was associated with a 3.03-point lower score on the HMSE, controlling for age, gender, and urbanicity. The statistically significant association between IQCODE and HMSE was stronger in urban than rural settings (p-value for interaction = 0.04). Associations between IQCODE and HMSE remained unchanged after removing the three items with the highest levels of differential missingness (remembering addresses and telephone numbers, ability to work with familiar machines, ability to learn to use new gadget or machine). CONCLUSION: Findings raise questions about the value of including items with high proportions of missingness, which may signal cultural irrelevance, while removing them did not affect criterion validity.

Serum 25(OH)D Concentration and Cardiovascular Disease Risk Markers Among Middle-Aged Healthy and Type 2 Diabetic Subjects.

Vitamin D deficiency is a major widespread health concern and is linked to a high risk of cardiovascular disease (CVD). Thus, we have investigated the association of vitamin D with various CVD risk markers. The present study comprises 90 control and 90 type 2 diabetes mellitus (T2DM) subjects of both sexes (age range, 30-50 years). The 25 hydroxyvitamin D [25(OH)D] and CVD risk markers including high sensitive C-reactive protein (hs-CRP), monocyte chemoattractant protein-1 (MCP-1), intact parathyroid hormone (I-PTH), fibroblast growth factor (FGF)-23, erythrocyte sedimentation rate (ESR), and fibrinogen were measured by using standard assays. Blood viscosity and atherogenic index of plasma calculated using standard formulae. The ten-year cardiovascular risk was assessed using the Framingham risk score (FRS). 25(OH)D, hs-CRP, MCP-1, FGF-23, ESR, fibrinogen, atherogenic index of plasma and FRS were significantly different between control and T2DM groups (p<0.05). 25(OH)D showed a significant negative correlation with MCP-1, ESR, blood viscosity, atherogenic index of plasma and FRS among total study subjects. Further, logistics regression analysis showed an association of 25(OH)D with MCP-1, hematocrit, fibrinogen, and blood viscosity. The association between 25(OH)D and various CVD risk markers suggests that 25(OH)D might help in the prediction of CVD risk.

Blood Viscosity, Glycemic Markers and Blood Pressure: A Study in Middle-Aged Normotensive and Hypertensive Type 2 Diabetics.

Altered blood viscosity (BV) may affect blood pressure (BP) and develops further complications in diabetes. A case-control study was performed to examine the relationship of erythrocyte sedimentation rate (ESR), hematocrit, fibrinogen, and BV with glycemic markers and BP in middle-aged normotensive and hypertensive type 2 diabetic patients and healthy controls. A total of 145 participants between age group 30-50 years divided into three groups; controls (n = 60), type 2 diabetes mellitus (T2DM, n = 55), and T2DM with hypertension (T2DM + HTN, n = 30). ESR and hematocrit were determined by Wintrobe's method. Plasma fibrinogen was measured using Lempert method and BV calculated using Merill's formula. T2DM and T2DM + HTN patients had higher fasting plasma glucose (FPG), glycated hemoglobin (HbA1c), systolic BP (SBP), diastolic BP (DBP), mean arterial pressure (MAP), ESR, and fibrinogencompared to controls. In both male and female SBP, DBP, MAP, FPG, and HbA1c were significantly higher in T2DM and T2DM + HTN groups, compared to controls. Further, linear regression analysis revealed a positive association of ESR and fibrinogen with SBP, DBP, MAP, FPG, HbA1c, and positive diabetic status in all participants. Also, in the same analysis, BV showed a positive association with SBP, DBP, and MAP. The association of ESR and fibrinogenwith glycemic markers and BP in diabetes supporting the value of emerging marker's for early prediction of T2DM and hypertension.

Deagglomeration of multi-walled carbon nanotubes via an organic modifier: structure and mechanism.

We have investigated the agglomeration behaviour of two types of multi-walled carbon nanotubes (MWNTs; N-MWNTs and D-MWNTs), which have different chemical functionalities, average diameter, varying extent of agglomeration and agglomerations. The properties were altered by varying the agglomerated structure. The strength of the MWNT agglomerates was estimated via nanoindentation. The work done to indent D-MWNT agglomerates (3910.3 × 10(-8) erg) was higher than for N-MWNTs agglomerates (2316.4 × 10(-8) erg). An organic modifier, the Li salt of 6-aminohexanoic acid (Li-AHA), was used to deagglomerate the MWNTs in an aqueous medium. The stability of the aqueous dispersion of Li-AHA-modified MWNTs was analyzed by UV-vis spectroscopy and zeta potential measurements. An increase in Li-AHA concentration increased the dispersion of MWNTs in the aqueous medium. Furthermore, the mechanism of dispersion of the two types of MWNTs in the aqueous medium in the presence of Li-AHA was determined based on the electrostatic charge repulsion between the negatively charged species. A fluorescence-activated cell sorting technique was used to assess the debundling of MWNT agglomerates in the aqueous medium. We examined the morphology-property relationship in Li-AHA-modified MWNTs.

Trajectories and correlates of poor mental health in India over the course of the COVID-19 pandemic: a nationwide survey.

INTRODUCTION: The COVID-19 pandemic had large impacts on mental health; however, most existing evidence is focused on the initial lockdown period and high-income contexts. By assessing trajectories of mental health symptoms in India over 2 years, we aim to understand the effect of later time periods and pandemic characteristics on mental health in a lower-middle income context. METHODS: We used data from the Real-Time Insights of COVID-19 in India cohort study (N=3709). We used covariate-adjusted linear regression models with generalised estimating equations to assess associations between mental health (Patient Health Questionnaire (PHQ-4) score; range 0-12) and pandemic periods as well as pandemic characteristics (COVID-19 cases and deaths, government stringency, self-reported financial impact, COVID-19 infection in the household) and explored effect modification by age, gender and rural/urban residence. RESULTS: Mental health symptoms dropped immediately following the lockdown period but rose again during the delta and omicron waves. Associations between mental health and later pandemic stages were stronger for adults 45 years of age and older (p<0.001). PHQ-4 scores were significantly associated with all pandemic characteristics considered, including estimated COVID-19 deaths (PHQ-4 difference of 0.10 units; 95% CI 0.06 to 0.13), government stringency index (0.14 units; 95% CI 0.11 to 0.18), self-reported major financial impacts (1.20 units; 95% CI 1.09 to 1.32) and COVID-19 infection in the household (0.36 units; 95% CI 0.23 to 0.50). CONCLUSION: While the lockdown period and associated financial stress had the largest mental health impacts on Indian adults, the effects of the pandemic on mental health persisted over time, especially among middle-aged and older adults. Results highlight the importance of investments in mental health supports and services to address the consequences of cyclical waves of infections and disease burden due to COVID-19 or other emerging pandemics.

Leave no one behind: A global survey of the current state of geriatric oncology practice by SIOG national representatives.

INTRODUCTION: The Sustainable Development Goals of the United Nations include a commitment to "leave no one behind" as a universal goal. To achieve this in geriatric oncology (GO) worldwide, it is important to understand the current state of GO at an international level. The International Society of Geriatric Oncology (SIOG) has several National Representatives (NRs) who act as SIOG's delegates in their respective countries. The NRs took part in this international survey exploring the state of GO practice, identifying barriers and solutions. MATERIALS AND METHODS: The NRs answered open-ended questions by email from February 2020 to October 2022. The questionnaire domains included the demographic information of older adults for their countries, and the NRs' opinions on whether GO is developing, what the barriers are to developing GO, and proposed actions to remove these barriers. The demographic data of each country reported in the survey was adjusted using literature and database searches. RESULTS: Twenty-one of thirty countries with NRs (70%) participated in this questionnaire study: 12 European, four Asian, two North American, two South American, and one Oceanian. The proportion of the population aged ≥75 years varied from 2.2% to 15.8%, and the average life expectancy also varied from 70 years to 86 years. All NRs reported that GO was developing in their country; four NRs (18%) reported that GO was well developed. Although all NRs agreed that geriatric assessment was useful, only three reported that it was used day-to-day in their countries' clinical practice (14%). The major barriers identified were the lack of (i) evidence to support GO use, (ii) awareness and interest in GO, and (iii) resources (time, manpower, and funding). The major proposed actions were to (i) provide new evidence through clinical trials specific for GO patients, (ii) stimulate awareness through networking, and (iii) deliver educational materials and information to healthcare providers and medical students. DISCUSSION: This current survey has identified the barriers to GO and proposed actions that could remove them. Broader awareness seems to be essential to implementing GO. Additional actions are needed to develop GO within countries and can be supported through international partnerships.

Improving care for older adults with hematological malignancies in India: Conquering the challenge.

In India, the number of older adults is steadily increasing and expected to reach around 200 million by 2030. Along with demographic change, India is experiencing a shift in family structure from multi-generational to nuclear families, affecting the social and psychological support available to older adults. The majority of hematological malignancies are diagnosed after the age of 60 years. Multiple issues associated with ageing, denoted as geriatric impairments, adversely affect the care of patients with cancer. Geriatric assessment and management is conspicuously underutilized and missing from the medical education curriculum in developing countries including India. Geriatric assessments may provide valuable information for the care of older adults with hematological malignancies, but incorporating geriatrics into the care of older patients with cancer in India will require knowledge of different approaches and consideration of the local healthcare context. In this article we will discuss the distinctive considerations in caring for older adults with hematological malignancies in India and to examine the unmet needs, challenges, and opportunities in improving the care of this population in the Indian context.

Unmet Needs in Geriatric Oncology.

Nikhil PathiIndia's population is aging, with the number of people aged 60 and over projected to reach 340 million by 2050. This is expected to lead to an increase in the number of older adults with cancer. Geriatric oncology is a rapidly growing field in India that is facing several challenges. Some of these include inadequate access to cancer screening and early detection programs in elderly, leading to late diagnoses and poor outcomes, lack of specialized geriatric oncology services, cancer-specific treatment guidelines and protocols in elderly, limited availability of treatment options due to accessibility, finances and other logistic issues, lack of trained healthcare professionals with expertise in geriatric oncology, lack of awareness, and access to early integrated palliative care services. There are several challenges faced by elderly in this journey like financial dependency, social isolation, difficulty in transportation to healthcare for treatments, and psychosocial aspects attributed to cancer. Awareness about availability of resources, patient assistance programs to reduce financial burdens, education campaigns, use of telemedicine and telehealth services to bypass transportation issues in remote and underserved areas, and integration of geriatric oncology into mainstream oncology services might be some solutions. Additionally, there is a need for more research on the unique characteristics and needs of older cancer patients in India, as well as the development of culturally appropriate interventions to address these needs. Development of India-specific geriatric assessment scales encompassing medical, psychosocial, and functional problems in elderly identifies areas of vulnerability. A multidisciplinary team-based decision-making is required at various levels. There is a need for increased investment in geriatric oncology research, training, and integrated palliative care services in India. Geriatric oncology is slowly being recognized as a separate subspeciality and more geriatric oncology centers and clinics are being set up in major cities in India that should be the way forward.

The prevalence of frailty and its relationship with sociodemographic factors, regional healthcare disparities, and healthcare utilization in the aging population across India.

Objective: To estimate frailty prevalence and its relationship with the socio-economic and regional factors and health care outcomes. Methods: In this study, participants from the harmonized Diagnostic Assessment of Dementia for the Longitudinal Aging Study in India (LASI-DAD) were included. The frailty index (FI) was calculated using a 32-variable deficit model, with a value of ≥ 25% considered as frail. Data on demographic (including caste and religion) and socioeconomic profiles and health care utilization were obtained. The state-wise health index maintained by the government based on various health-related parameters was used to group the participants' residential states into high-, intermediate-, and low-performing states. Multivariable and zero-inflated negative binomial regression was used to assess the relationship of frailty index with sociodemographic characteristics, health index, and health care expenditure or hospitalization. Results: Among the 3953 eligible participants, the prevalence of frailty was 42.34% (men = 34.99% and women = 49.35%). Compared to high-performing states, intermediate- and low-performing states had a higher proportion of frail individuals (49.7% vs. 46.8% vs. 34.5%, P < 0.001). In the adjusted analysis, frailty was positively associated with age, female sex, rural locality, lower education level, and caste (scheduled caste and other backward classes). After adjusting for the socio-economic profile, FI was inversely associated with the composite health index of a state (P < 0.001). FI was also significantly correlated with total 1-year health care expenditure and hospitalization (P < 0.001 and 0.020, respectively). Conclusion: There is a high prevalence of frailty among older Indian adults that is associated with sociodemographic factors and regional health care performance. Furthermore, frailty is associated with increased health care utilization and expenditure.

Trajectories and correlates of poor mental health in India over the course of the COVID-19 pandemic: a nation-wide survey.

Introduction: The COVID-19 pandemic had large impacts on mental health; however, most existing evidence is focused on the initial lockdown period and high-income contexts. By assessing trajectories of mental health symptoms in India over two years, we aim to understand the effect of later time periods and pandemic characteristics on mental health in a lower-middle income context. Methods: We used data from the Real-Time Insights of COVID-19 in India (RTI COVID-India) cohort study (N=3,662). We used covariate-adjusted linear regression models with generalized estimating equations to assess associations between mental health (PHQ-4 score) and pandemic periods as well as pandemic characteristics (COVID-19 cases and deaths, government stringency, self-reported financial impact, COVID-19 infection in the household) and explored effect modification by age, gender, and rural/urban residence. Results: Mental health symptoms dropped immediately following the lockdown period but rose again during the delta and omicron waves. Associations between mental health and later pandemic stages were stronger for adults 45 years of age and older (p<0.001). PHQ-4 scores were significantly and independently associated with all pandemic characteristics considered, including estimated COVID-19 deaths (PHQ-4 difference of 0.041 SD units; 95% Confidence Interval 0.030 - 0.053), government stringency index (0.060 SD units; 0.048 - 0.072), self-reported major financial impacts (0.45 SD units; 0.41-0.49), and COVID-19 infection in the household (0.11 SD units; 0.07-0.16). Conclusion: While the lockdown period and associated financial stress had the largest mental health impacts on Indian adults, the effects of the pandemic on mental health persisted over time, especially among middle-age and older adults. Results highlight the importance of investments in mental health supports and services to address the consequences of cyclical waves of infections and disease burden due to COVID-19 or other emerging pandemics.

The current status of geriatric oncology in India.

Geriatric oncology in India is relatively new. The number of older persons with cancer is increasing exponentially; at our institution, 34% of patients registered are 60 years and over. Apart from the Tata Memorial Hospital in Mumbai, there are currently no other Indian centers that have a dedicated geriatric oncology unit. Geriatric assessments (GAs) are done sporadically, and older patients with cancer are usually assessed and treated based on clinical judgement. Challenges to increasing the uptake of GA include a lack of training/time/interest or knowledge of the importance of the GA. Other challenges include a lack of trained personnel with expertise in geriatric oncology, and a paucity of research studies that seek to advance the outcomes in older Indian patients with cancer. We anticipate that over the next 10 years, along with the inevitable increase in the number of older persons with cancer in India, there will be a commensurate increase in the number of skilled personnel to care for them. Key goals for the future include increased research output, increased number of dedicated geriatric oncology units across the country, India-specific geriatric oncology guidelines, geriatric oncology training programs, and a focus on collaborative work across India and with global partners. In this narrative review, we provide a broad overview of the status of geriatric oncology in India, along with a description of the work done at our center. We hope to spark interest and provide inspiration to readers to consider developing geriatric oncology services in other settings.

Association Between Cognitive Performance and Nutritional Status: Analysis From LASI-DAD.

Malnutrition in low- and middle-income countries causes cognitive decline and other health problems. Harmonized Diagnostic Assessment of Dementia for Longitudinal Aging Study in India (LASI DAD) is an extensive study on late-life cognition and dementia. This study examines the link between nutrition and cognitive abilities in older adults using data from the LASI DAD. We conducted descriptive statistics on nutritional parameters (body-mass index, waist-hip ratio, and Mini-Nutritional Assessment), cognitive functions, and socio-demographic variables in 2,892 adults aged ≥60 years. Cognitive domains assessed included delayed recall, orientation, language, executive function, abstract reasoning, and attention. Cognitive impairment was defined as impaired performance in two or more domains. Mean age was 69.3 ± 7.1 years, 52.9% were female, and 57.5% were illiterate. Low body-mass index (adjusted OR: 1.88, p < .001), at risk of malnutrition (adjusted OR: 1.89, p < .001) and malnourished (adjusted OR: 2.86, p < .001) on Mini-Nutritional Assessment were associated with the presence of cognitive impairment. Better cognitive performance was associated with increased body mass index (adjusted OR: 0.74, p-.03), hemoglobin (adjusted OR: 0.91, p-.006), and serum albumin (adjusted OR: 0.38, p < .001). This study shows that nutritional status assessed by anthropometric measures and blood markers is strongly linked to cognitive performance in older adults.

Defining anthropometric thresholds (mid-arm circumference and calf circumference) in older adults residing in the community: a cross-sectional analysis using data from the population representative Longitudinal Aging Study in India (LASI DAD).

OBJECTIVES: To identify factors associated with malnutrition (undernutrition and overnutrition) and determine appropriate cut-off values for mid-arm circumference (MAC) and calf circumference (CC) among community-dwelling Indian older adults. DESIGN: Data from the first wave of harmonised diagnostic assessment of dementia for Longitudinal Ageing Study in India (LASI-DAD) were used. Various sociodemographic factors, comorbidities, geriatric syndromes, childhood financial and health status were included. Anthropometric measurements included body mass index (BMI), MAC and CC. SETTING: Nationally representative cohort study including 36 Indian states and union territories. PARTICIPANTS: 4096 older adults aged >60 years from LASI DAD. OUTCOME MEASURES: The outcome variable was BMI, categorised as low (<18.5 kg/m2), normal (18.5-22.9 kg/m2) and high (>23 kg/m2). The cut-off values of MAC and CC were derived using ROC curve with BMI as the gold standard. RESULTS: 902 (weighted percentage 20.55%) had low BMI, 1742 (44.25%) had high BMI. Undernutrition was associated with age, wealth-quintile and impaired cognition, while overnutrition was associated with higher education, urban living and comorbidities such as hypertension, diabetes and chronic heart disease. For CC, the optimal lower and upper cut-offs for males were 28.1 cm and >31.5 cm, respectively, while for females, the corresponding values were 26 cm and >29 cm. Similarly, the optimal lower and upper cut-offs for MAC in males were 23.9 cm and >26.9 cm, and for females, they were 22.5 cm and >25 cm. CONCLUSION: Our study identifies a high BMI prevalence, especially among females, individuals with higher education, urban residents and those with comorbidities. We establish gender-specific MAC and CC cut-off values with significant implications for healthcare, policy and research. Tailored interventions can address undernutrition and overnutrition in older adults, enhancing standardised nutritional assessment and well-being.

Deep phenotyping and genomic data from a nationally representative study on dementia in India.

The Harmonized Diagnostic Assessment of Dementia for the Longitudinal Aging Study in India (LASI-DAD) is a nationally representative in-depth study of cognitive aging and dementia. We present a publicly available dataset of harmonized cognitive measures of 4,096 adults 60 years of age and older in India, collected across 18 states and union territories. Blood samples were obtained to carry out whole blood and serum-based assays. Results are included in a venous blood specimen datafile that can be linked to the Harmonized LASI-DAD dataset. A global screening array of 960 LASI-DAD respondents is also publicly available for download, in addition to neuroimaging data on 137 LASI-DAD participants. Altogether, these datasets provide comprehensive information on older adults in India that allow researchers to further understand risk factors associated with cognitive impairment and dementia.

Discrepancy in Fluid and Crystallized Intelligence: An Early Cognitive Marker of Dementia from the LASI-DAD Cohort.

Background: Cognitive aging is a complex phenomenon, which comprises various cognitive skills, broadly categorized into fluid and crystallized intelligence. Crystallized intelligence (gc) tends to be maintained, as opposed to fluid intelligence (gf), which tends to decline rapidly with age. The association of the two with cognitive decline remains a matter of conjecture requiring further research. Aim: The aim of the study was to identify the variables of gc and gf from a population data of Longitudinal Aging Study in India-Diagnostic Assessment of Dementia (LASI-DAD) study and investigate its relationship with the onset of cognitive impairment using discrepancy analysis against neuropsychological tests. Methods: This analysis of data from LASI-DAD study was carried out on a sample of 3,223 participants. They were assessed on extensive thirteen cognitive tests and one subjective test of cognition. Standardized score was used for discrepancy analysis. Fluid ability minus crystallized ability was used to assess the cognitive impairment. Any statistical significance with the score difference >0.99 SD was defined as a presence of cognitive decline. Hindi Mental Status Examination (HMSE) and the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE) were used as gold standard. Results: With increased discrepancy score, each cognitive parameter score declined which was found to be statistically significant. In HMSE (Normal = 25.81 ± 3.39; Impaired = 23.17 ± 3.54; p = <0.001), there was a drop of 2 point scores in identifying cognitive impairment in the population sample as per the gold standard. A similar trend was evident in other neurocognitive domains as well. Conclusion: Crystallized-fluid intelligence discrepancy analysis has a strong potential in predicting the onset of cognitive decline ahead of time, facilitating early intervention.

Critical pathways of oral squamous cell carcinoma: molecular biomarker and therapeutic intervention.

The rapid growth of oral cancer is a significant concern, especially in developing countries due to the advanced lifestyle and 5-year survival despite advanced multimodality of cancer care. The poor modality might be due to the detection of disease in the advanced stage. Early detection and development of novel therapies can improve oral cancer patient survival. The PI3K/AKT/mTOR and RAS-RAF-MEK-ERK are very extensively exploited pathways in oral cancer. These pathways are very critical in the progression of tumorigenesis in oral cancer. This review focuses on the association of Ras/Raf/MEK/ERK and PI3K/AKT/mTOR pathways in terms of protein expression level, genetic mutation, and therapeutic intervention in oral cancer.

Association of geriatric syndromes in older adults with chronic obstructive pulmonary disease.

Background: Geriatric syndromes (GS) are multi-factorial conditions that make older adults vulnerable to morbidities and poor outcomes. The main objective was to observe the frequency of GS in older patients with COPD. Methods: A case-control study was conducted in the Geriatric department of a tertiary care hospital in India to evaluate geriatric syndromes including falls, cognitive impairment, frailty, functional impairment, urinary incontinence, malnutrition, and depression in patients with COPD and controls without COPD. The factors having a significant association with the occurrence of these GS in COPD patients were observed. Results: In this study, 150 cases and 150 controls were included. The mean age of the participant was 65.85±5.54, with 76% males. Functional impairment, cognitive impairment, frailty, urinary incontinence, and malnutrition were significantly higher in COPD patients. The independent variables which increased the odds of geriatric syndromes were dyspnoea (≥2 mMRC grade) (AOR:3.54,95% CI:1.06-11.8) and low socioeconomic status (AOR: 4.14, 95% CI: 1.03-16.54), while male gender showed inverse association (AOR: 0.08,95% CI: 0.01-0.99). Conclusion: Geriatric syndromes are common in older COPD patients, and assessment for them should be done routinely in these patients.

Adherence to COVID-19 protective behaviours in India from May to December 2020: evidence from a nationally representative longitudinal survey.

OBJECTIVES: Since the onset of the COVID-19 pandemic, behavioural interventions to reduce disease transmission have been central to public health policy worldwide. Sustaining individual protective behaviour is especially important in low-income and middle-income settings, where health systems have fewer resources and access to vaccination is limited. This study seeks to assess time trends in COVID-19 protective behaviour in India. DESIGN: Nationally representative, panel-based, longitudinal study. SETTING: We conducted a panel survey of Indian households to understand how the adoption of COVID-19 protective behaviours has changed over time. Our data span peaks and valleys of disease transmission over May-December 2020. PARTICIPANTS: Respondents included 3719 adults from 1766 Indian households enrolled in the Harmonised Diagnostic Assessment of Dementia for the Longitudinal Ageing Study in India. ANALYSIS: We used ordinary least squares regression analysis to quantify time trends in protective behaviours. RESULTS: We find a 30.6 percentage point (95% CI (26.7 to 34.5); p<0.01) decline in protective behaviours related to social distancing over the observation period. Mask wearing and handwashing, in contrast, decreased by only 4.3 percentage points (95% CI (0.97 to 7.6); p<0.05) from a high base. Our conclusions are unchanged after adjusting for recorded COVID-19 caseload and nationwide COVID-19 containment policy; we also observe significant declines across socioeconomic strata spanning age, gender, education and urbanicity. CONCLUSION: We argue that these changes reflect, at least in part, 'COVID-19 fatigue,' where adherence to social distancing becomes more difficult over time irrespective of the surrounding disease environment.