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Introduction: Recent studies highlight the negative impact of social isolation and involvement in leisure activities on enhanced well‐being of individuals. However, there is dearth of evidence on relationship between social isolation and leisure activities on cognitive abilities and depression of older adults in the Indian context. The paper reports the impact of social isolation and leisure activities on cognitive functioning and depression of older adults. Methods: Data were collected from the Longitudinal Ageing Study of India (LASI), and 63,806 participants aged 45 years or above were considered for the study with adherence to the exclusion criteria. Multivariate analysis was carried out to analyse the group‐based differences. Results: Social isolation (F = 102.09, p < 0.01; η2 = 0.09) and leisure (F = 224.54, p < 0.01; η2 = 0.07) had a statistically significant impact on the cognition and depressive symptoms of participants. Socially isolated older adults with little involvement in leisure activities had the worst cognitive functioning (M = 32.76, SD = 4.41), whereas middle‐aged adults who were actively involved in leisure activities and experienced the least social isolation exhibited the best cognitive functioning (M = 32.76, SD = 4.41). However, leisure and age as independent factors did not have a significant impact on depression. Conclusion: Socially isolated participants, irrespective of age, and involvement in leisure activities exhibit poor cognitive functioning and are more likely to suffer from depression as compared to their counterparts. The findings of the study can be used to design intervention strategies aimed at reducing social isolation by incorporating leisure activities to ensure the optimal functioning of middle‐aged and older adults. Key points: Socially isolated older adults with least involvement in leisure activities reported the worst cognitive functioning.Socially isolated participants reported a positive association with depressive symptomatology.Both middle‐aged and older adults who engaged in leisure activities reported better cognitive functioning as compared to their counterparts who did not engage in any form of leisure activities.Leisure as an independent factor is not significantly associated with depressive symptoms. [ABSTRACT FROM AUTHOR]

Objectives: Diabetes is a significant public health concern in India, with Kerala being labeled as the diabetes capital of the country. The study aims to evaluate the prevalence, treatment, and management of diabetes to examine the unmet need for care to propose cost-effective strategies. Design: A cross-sectional study was conducted on a geographically defined cohort population in Ernakulam. Sample: This paper presents diabetes data of adults ≥30 years enrolled from the community cohort. The interviews were conducted with 997 participants at their residence. Measurement: Random blood glucose was assessed for each participant using a finger prick test. Results: The overall prevalence of diabetes was 30.1%, of which 4.1% of participants had undiagnosed diabetes. Among those with diabetes, 86.3% were aware of their diagnosis; among those aware, 86.5% were on treatment. Among those on treatment for diabetes, 54% achieved controlled blood sugar. Conclusion: The challenge in diabetes management is controlling the blood glucose levels of people who adhere to treatment. Younger employed females from lower-income quartiles have the highest risk. The study also raises questions about quality and strategies for medication compliance. The findings inspire future research on care needs, policies, and program responses to reduce the diabetes disease burden. [ABSTRACT FROM AUTHOR]

Anaemia control programmes in India are hampered by a lack of representative evidence on anaemia prevalence, burden and associated factors for adolescents. The aim of this study was to: (1) describe the national and subnational prevalence, severity and burden of anaemia among Indian adolescents; (2) examine factors associated with anaemia at national and regional levels. Data (n = 14,673 individuals aged 10–19 years) were from India's Comprehensive National Nutrition Survey (CNNS, 2016–2018). CNNS used a multistage, stratified, probability proportion to size cluster sampling design. Prevalence was estimated using globally comparable age‐ and sex‐specific cutoffs, using survey weights for biomarker sample collection. Burden analysis used prevalence estimates and projected population from 2011 Census data. Multivariable logistic regression models were used to analyse factors (diet, micronutrient deficiencies, haemoglobinopathies, sociodemographic factors, environment) associated with anaemia. Anaemia was present in 40% of girls and 18% of boys, equivalent to 72 million adolescents in 2018, and varied by region (girls 29%–46%; boys 11%–28%) and state (girls 7%–62%; boys 4%–32%). Iron deficiency (ferritin < 15 μg/L) was the strongest predictor of anaemia (odds ratio [OR]: 4.68, 95% confidence interval [CI]: [3.21,6.83]), followed by haemoglobinopathies (HbA2 > 3.5% or any HbS) (OR: 2.81, 95% CI: [1.66,4.74]), vitamin A deficiency (serum retinol <20 ng/ml) (OR: 1.86, 95% CI: [1.23,2.80]) and zinc deficiency (serum zinc < 70 μg/L) (OR: 1.32, 95% CI: [1.02,1.72]). Regional models show heterogeneity in the strength of association between factors and anaemia by region. Adolescent anaemia control programmes in India should continue to address iron deficiency, strengthen strategies to identify haemoglobinopathies and other micronutrient deficiencies, and further explore geographic variation in associated factors. Key messages: The Comprehensive National Nutrition Survey (CNNS) 2016–2018 is the only nationally representative survey to measure haemoglobin, haemoglobinopathies, biomarkers of micronutrient deficiencies, diet and social factors in Indian adolescents aged 10–19 years.Using CNNS data, we found that 28.5% of adolescents (girls: 39.6%, boys: 17.6%) were anaemic, with variation by region or state.Our prevalence estimates translate to 72 million adolescents being anaemic, with Uttar Pradesh having twice as many anaemic adolescents as any other state.Iron deficiency, haemoglobinopathies, vitamin A deficiency and zinc deficiency were associated with an increased risk of anaemia; these associations may vary subnationally. [ABSTRACT FROM AUTHOR]

Multiple micronutrient deficiencies (MNDs) co‐exist, often because of poor intakes and adversely impact health. Habitual diets were assessed in 300 school children (6–17 years old) recruited from two government schools by simple random sampling. Probability of adequacy (PA) for 11 micronutrients and mean probability of adequacy (MPA) was calculated. Haemoglobin, plasma ferritin, folic acid, vitamin B12 and C‐reactive protein were estimated. Descriptive statistics and regression analysis were used to estimate magnitude and factors associated with MNDs. The contribution of fortified foods and/or supplements in addressing inadequacies and excessive intakes was modelled. The PA ranged from 0.04 for folate to 0.70 for zinc, and the MPA was 0.27. Prevalence of anaemia (53%), iron deficiency (57%; ID), iron deficiency anaemia (38%; IDA), folate deficiency (24%) and B12 deficiency (43%) was high. Dietary inadequacy of iron, zinc and a low MPA was associated with anaemia and IDA. Inclusion of double fortified salt (DFS), fortified rice (FR) or iron folic acid (IFA) supplements individually in habitual diet reduced probability of iron inadequacy significantly from 82% to ≤13%. Inclusion of DFS and FR simultaneously led to disappearance of iron inadequacy, but risk of excessive intake increased to 16%. Inclusion of DFS, FR and IFA together increased risk of excess iron intake to 40%. Nevertheless, intakes of folate and B12 remained inadequate even with FR and/or IFA. These results indicate a high risk of dietary MNDs in children and suggest need for more systematic intake measurements in representative sample and adjustment of iron dosages to avoid excessive intakes. [ABSTRACT FROM AUTHOR]

Aim: Adaptive functioning develops throughout early childhood, and its limitation is a reflection that the child has developmental or emotional problems or even mental retardation. Little is known about the adaptive functioning or developmental status of slum children. The present cross-sectional study was undertaken during the year 2014 to assess the status of adaptive functioning among girl children aged between 3 and 9 years residing in slum areas of Bhubaneswar and to explore the factors associated with poor adaptive functioning.Methods: Stratified multi-stage cluster random sampling technique was used to select the study population; 256 mother-child pairs from 256 households in selected slum areas were studied. Demographic information was collected, and adaptive functioning was assessed using the modified Vineland Social Maturity Scale. Univariate and multivariate analyses was carried out using Statistical Package for Social Sciences (SPSS) version 21.Results: One-fifth (54, 21%) of the girls sampled had poor adaptive functioning, and 44 (17%) had poor cognitive functioning. Multivariate analysis revealed that the age of the child, parents' education, presence of stunting in children and attending school/early childhood centre were strong predictors of adaptive functioning in slum children.Conclusion: One-fifth of girls from slums are developmentally vulnerable; parental education, stunting and early childhood education or exposure to schooling are modifiable factors influencing children's adaptive functioning. Health, education and welfare sectors need to be aware of this so that a multi-pronged approach can be planned to properly address this issue in one of the most disadvantaged sections of the society. [ABSTRACT FROM AUTHOR]

Aim To determine the prevalence and predictors of potentially inappropriate medications ( PIM) prescribing in elderly inpatients using the modified American Geriatrics Society ( AGS) updated Beers criteria 2012 and comparing it with the Beers criteria 2003. Methods The prospective observational study was carried out between September 2011 and May 2012 at a public teaching hospital. Elderly inpatients aged ≥60 years were included. Multivariate logistic regression analysis was used to determine the predictors of PIM prescribing. Results The results were based on data of 502 patients; more than half (60%) were males and 66% were aged between 60-69 years with a mean (standard deviation [ SD]) of 68 (7) years. Mean ( SD) number of diagnoses and medications were three (1) and nine (4), respectively. A total of 81 (16%) patients were prescribed with at least ≥1 PIM according to modified AGS updated Beers criteria 2012, compared with 11% according to Beers criteria 2003. On multivariate regression, important predictors for PIM prescribing were found to be age ≥80 years (odds ratio [ OR] 2.46, 95% confidence interval ( CI) 1.27-3.12; P = 0.03), male sex ( OR 1.35, 95% CI 1.06-1.84; P = 0.03), more than three diagnoses ( OR 2.47, 95% CI 1.59-3.39; P = 0.04), ≥6 medications prescribed ( OR 1.16, 95% CI 1.02-1.35; P = 0.03) and ≥10 days of hospital stay ( OR 1.59, 95% CI 1.09-2.31; P = 0.02). Conclusions The results show that PIM prescribing is common among hospitalized elderly Indian patients. It is feasible to reduce this practice through the provision of appropriate unbiased information to healthcare professionals. Geriatr Gerontol Int 2014; 14: 251-258. [ABSTRACT FROM AUTHOR]