BackgroundKerala, the southern state of India, has experienced sudden rise in the prevalence estimates of diabetes. A cohort study on the incidence of type 2 diabetes mellitus (T2DM) in Kerala state thus aptly bridges the lacuna of incidence estimate of T2DM from a population at risk.MethodsA 10-year prospective cohort study was carried out in two urban wards of central Kerala. The individuals who participated in the baseline survey in 2007 were again invited for a follow-up study in 2017. The data was analyzed using IBM SPSS Statistics for windows (version 21.0). Logistic regression analysis was used to estimate odds ratios and 95% confidence intervals. Findings are based on the 10-year follow-up data from 869 participants from the cohort.ResultsThe overall follow-up and response rate of the study was 68.9 and 86.9% respectively. During the follow-up period, 190 people (21.9%) developed T2DM. The incidence rate of T2DM and impaired fasting glucose (IFG) were 24.5 per 1000 person years and 45.01 per 1000 person years respectively. Nearly 60% of participants with baseline IFG were converted to T2DM group in the follow-up period. Age > 45 years, family history of T2DM, BMI ≥ 25 kg/m2 and presence of central obesity emerged as important risk factors for incident T2DM.ConclusionHigh incidence of prediabetes over diabetes observed in this study shows an epidemic trend of T2DM in Kerala, India. It requires an immediate public health action.

Background: Specific learning disorders (SLD) comprise varied conditions with ongoing problems in one of the three areas of educational skills–reading, writing, and arithmetic–which are essential for the learning process. There is a dearth of systematic reviews focused exclusively on the prevalence of SLD in India. Hence, this study was done to estimate the prevalence of SLD in Indian children. Methods: A systematic search of electronic databases of MEDLINE, Embase, PsycINFO, and CINAHL was conducted. Two authors independently assessed the eligibility of the full-text articles. The third author reassessed all selected studies. A standardized data extraction form was developed and piloted. The pooled prevalence of SLDs was estimated from the reported prevalence of eligible studies, using the random-effects model. Results: Six studies of the systematic review included the diagnostic screening of 8133 children. The random-effects meta-analysis showed that the overall pooled prevalence of SLD in India was 8% (95% CI = 4–11). The tools used to diagnose SLD in the studies were the National Institute of Mental Health and Neurosciences (NIMHANS)-SLD index and the Grade Level Assessment Device (GLAD). Conclusions: Nearly 8% of children up to 19 years have SLD. There are only a few high-quality, methodologically sound, population-based epidemiological studies on this topic. There is a pressing need to have large population-based surveys in India, using appropriate screening and diagnostic tools. Constructing standardized assessment tools, keeping in view the diversity of Indian culture, is also necessary.

Background Low birth weight (LBW) is susceptible to neonatal complications, chronic medical conditions, and neurodevelopmental disabilities. We aim to describe the determinants of very low birth weight (VLBW) in India based on the National Family Health Survey – 4 (NHFS-4). Methods Data from the NFHS 4 on birthweight and other socio-demographic characteristics for the youngest child born in the family during the five years preceding the survey were used. Data of 147,762 infant–mother pairs were included. Multiple logistic regression models were employed to delineate the independent predictors of VLBW (birth weight<1500 g) or LBW (birth weight <2500 g). Results Of the 147,762 children included in the study, VLBW and LBW were observed in 1.2% and 15.8% of children, respectively. The odds of VLBW were higher in female children (aOR: 1.36, 95% CI: 1.15–1.60), among mothers aged 13–19 years (aOR: 1.58, 95% CI: 1.22–2.07), mothers with severe or moderate anaemia (aOR: 1.61, 95% CI: 1.34–1.94), mothers without recommended antenatal care (aOR: 1.47, 95% CI: 1.31–1.90), maternal height less than 150 cm (aOR: 1.54, 95% CI: 1.29–1.85) and among mothers with multiple pregnancy (aOR: 21.34, 95% CI: 14.70–30.96) in comparison to their corresponding counterparts. In addition to the variables associated with VLBW, educational status of mothers (no education; aOR: 1.08, 95% CI: 1.02–1.15 and primary education; aOR: 1.16, 95% CI: 1.08–1.25), caste of the children (scheduled tribe; aOR: 1.13, 95% CI: 1.03–1.24), and wealthiness of the family (poorest wealth quintiles; aOR: 1.11, 95% CI: 1.03–1.19) were associated with LBW. Conclusions Interventions targeting improvements in antenatal care access, maternal health, and nutritional status may reduce the number of VLBW infants. Social determinants of LBW require further detailed study to understand the high propensity of low birth-weight phenotypes in the disadvantaged communities in India.

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Background: More than half of the people in the geriatric age group have a history of at least one chronic illness, the majority of which are associated with the cardiovascular system. Hypertension, dyslipidemia, and diabetes mellitus are recognized risk factors for cardiovascular disease morbidity and mortality. The early detection of noncommunicable diseases (NCDs) has been found to reduce the disease burden and the associated complications. The study aims to assess the unmet need for screening of NCDs among older adults in the Kottayam district. Methods: A cross-sectional study was conducted among 420 older adults (60 years and above) in all 11 blocks of the Kottayam district using a structured interview schedule. Statistical analysis using proportions with appropriate stratification was undertaken using SPSS Version 26. Results: The unmet need for dyslipidemia screening (45.5%) was the highest among the screening. Employment status, socioeconomic status, and education were associated with the unmet need for dyslipidemia screening. Education, employment status, current means of sustenance, and socioeconomic status were associated with the unmet need for screening of diabetes mellitus. The unmet need for screening of only dyslipidemia was 22.4%. Among the participants with hypertension and diabetes mellitus, more than three-fourths (77.0%) had an unmet need for dyslipidemia screening. Conclusions: Unmet need for screening of dyslipidemia was the highest among all the 3 diseases. About one-eight of those aged 60 and above have not been screened appropriately for all the 3 diseases. Any programmatic effort needs to address this to reduce the burden of NCD morbidity among the elderly.