Background: The prevalence of Diabetes is increasing globally and these numbers include women with Gestational diabetes mellitus also. Based on demographic projections made by United Nations Population Division for the year 2025, WHO issued estimates of adults with diabetes in all countries and reported that there will be more women with diabetes than men and we may anticipate a considerable increase in the burden of GDM especially in less prosperous countries. 'Gestational Diabetes Mellitus' (GDM) is defined as any degree of glucose intolerance with onset or first recognition during pregnancy. Worldwide prevalence of GDM varies between 1.4-14 %. The prevalence of Gestational diabetes mellitus in India varies from 3.8 to 21% in different parts of the country, depending on the geographical locations and diagnostic methods used. Gestational diabetes mellitus has been found to be more prevalent in urban areas than in rural areas.Women diagnosed to have GDM are at increased risk of future diabetes predominantly type 2 DM as are their children. Aims & Objective: To estimate the prevalence of Gestational Diabetes mellitus and various socio-demographic factors of the studied subjects. Material and Methods: A Community based cross sectional study was conducted in the field practice area of Government Medical College Srinagar (Block Hazratbal: District Srinagar).The study was conducted for a period of one year from April 2011 to March 2012. All pregnant women in 24 weeks of gestation and above after undergoing preliminary clinical examination were given a 75 g oral glucose load, without taking in to consideration the time since last meal. Gestational diabetes mellitus was diagnosed if 2 hour plasma glucose was ≥140 mg/dl (DIPSI guidelines, a modified version of the WHO criterion). Tests of proportions (Chi square) and unpaired t-test were used to obtain results. Results: A total of 306 women were registered for the study. The prevalence rate of gestational diabetes mellitus (GDM) was 7.8 % and all the cases were newly diagnosed during the study. Among various risk factors associated significantly with GDM were Gravida status, Parity and History of abortion. Overall, there was a preponderance of illiterate females (52.9%). However, the association between GDM and literacy was found to be non-significant at p > 0.05. The majority of females were home makers (96.4%) and occupation did not influence the prevalence of GDM. Majority of the studied population belonged to socioeconomic class III (Modified BG Prasad). Conclusion: Increasing prevalence of gestational diabetes mellitus and its co-morbidities among females need immediate attention in terms of prevention and health education.
BackgroundWithin Kashmir, which is one of the topographically distinct areas in the Himalayan belt of India, a total of 2,236 cumulative deaths occurred by the end of the second wave. We aimed to conduct this population-based study in the age group of 7 years and above to estimate the seropositivity and its attributes in Kashmir valley.MethodsWe conducted a community-based household-level cross-sectional study, with a multistage, population-stratified, probability-proportionate-to-size, cluster sampling method to select 400 participants from each of the 10 districts of Kashmir. We also selected a quota of healthcare workers, police personnel, and antenatal women from each of the districts. Households were selected from each cluster and all family members with age 7 years or more were invited to participate. Information was collected through a standardized questionnaire and entered into Epicollect 5 software. Trained healthcare personnel were assigned for collecting venous blood samples from each of the participants which were transferred and processed for immunological testing. Testing was done for the presence of SARS-CoV-2-specific anti-spike IgM, IgG antibodies, and anti-nucleocapsid IgG antibodies. Weighted seropositivity was estimated along with the adjustment done for the sensitivity and specificity of the test used.FindingsThe data were collected from a total of 4,229 participants from the general population within the 10 districts of Kashmir. Our results showed that 84.84% (95% CI 84.51–85.18%) of the participants were seropositive in the weighted imputed data among the general population. In multiple logistic regression, the variables significantly affecting the seroprevalence were the age group 45–59 years (odds ratio of 0.73; 95% CI 0.67–0.78), self-reported history of comorbidity (odds ratio of 1.47; 95% CI 1.33–1.61), and positive vaccination history (odds ratio of 0.85; 95% CI 0.79–0.90) for anti-nucleocapsid IgG antibodies. The entire assessed variables showed a significant role during multiple logistic regression analysis for affecting IgM anti-spike antibodies with an odds ratio of 1.45 (95% CI 1.32–1.57) for age more than 60 years, 1.21 (95% CI 1.15–1.27) for the female gender, 0.87 (95% CI 0.82–0.92) for urban residents, 0.86 (95% CI 0.76–0.92) for self-reported comorbidity, and an odds ratio of 1.16 (95% CI 1.08–1.24) for a positive history of vaccination. The estimated infection fatality ratio was 0.033% (95% CI: 0.034–0.032%) between 22 May and 31 July 2021 against the seropositivity for IgM antibodies.InterpretationDuring the second wave of the SARS-CoV-2 pandemic, 84.84% (95% CI 84.51–85.18%) of participants from this population-based cross-sectional sample were seropositive against SARS-CoV-2. Despite a comparatively lower number of cases reported and lower vaccination coverage in the region, our study found such high seropositivity across all age groups, which indicates the higher number of subclinical and less severe unnoticed caseload in the community.
ObjectivesWe designed a population-based survey in Kashmir to estimate the seroprevalence of SARS-CoV-2-specific IgG antibodies in the general population aged 18 years and above.SettingThe survey was conducted among 110 villages and urban wards across 10 districts in Kashmir from 17 October 2020 to 4 November 2020.ParticipantsIndividuals aged 18 years and above were eligible to be included in the survey. Serum samples were tested for the presence of SARS-CoV-2-specific IgG antibodies using the Abbott SARS-CoV-2 IgG assay.Primary and secondary outcome measuresWe labelled assay results equal to or above the cut-off index value of 1.4 as positive for SARS-CoV-2-specific IgG antibodies. Seroprevalence estimates were adjusted for the sampling design and assay characteristics.ResultsOut of 6397 eligible individuals enumerated, 6315 (98.7%) agreed to participate. The final analysis was done on 6230 participants. Seroprevalence adjusted for the sampling design and assay characteristics was 36.7% (95% CI 34.3% to 39.2%). Seroprevalence was higher among the older population. Among seropositive individuals, 10.2% (247/2415) reported a history of COVID-19-like symptoms. Out of 474 symptomatic individuals, 233 (49.2%) reported having been tested. We estimated an infection fatality rate of 0.034%.ConclusionsDuring the first 7 months of the COVID-19 epidemic in Kashmir Valley, approximately 37% of individuals were infected. The reported number of COVID-19 cases was only a small fraction of the estimated number of infections. A more efficient surveillance system with strengthened reporting of COVID-19 cases and deaths is warranted.
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