A cross-sectional study of anthropometry and immunization coverage of Anganwadi children in a rural area of Karnataka

Background

Children are a supreme asset to a nation. Beginning six years of life is pivotal for the social, emotional, cognitive, physical, motor, and psychological upbringing of the child. National Family Health Survey (NFHS) 5 data shows 41.9% of children die before the age of five years, with greater mortality in the rural areas (45.7%). The present study was conducted to assess the anthropometric profile and immunization status of children in Anganwadi centers.

Materials and Methods

A community-based cross-sectional study was conducted in 21 Anganwadi centers in a rural area in South India. The anthropometry (height, weight, mid-upper arm circumference), morbidity profile, and immunization status of the enrolled and available children were assessed with the help of WHO growth charts, Salter scale, clinical examination, immunization cards, and data from Anganwadi registers.

Statistical analysis

Data were compiled and analyzed using SPSS software version 20. Descriptive data were interpreted as mean and percentages and associations were tested with the Chi-square test, and Fisher's exact test. A P value of <0.05 was considered to be statistically significant.

Results

Around 400 children, aged 0-6 years, participated in the study. The mean age of the study population was 42.08 ± 12.55 months. The overall prevalence of underweight, stunting, and wasting was 52%, 54%, and 47.5% respectively. The most common morbidity was upper respiratory tract infection (11.5%). A majority (97.5%) of children were found to be immunized appropriately as per age.

Conclusion

The prevalence of malnutrition was alarmingly high which warrants urgent referral and follow-up. The ICDS services, although substantially beneficial, need focal strengthening with regard to the nutritional status of enrolled children.

Risk factors for non-adherence among people with HIV-associated TB in Karnataka, India: A case-control study

SETTING

Five select districts of Karnataka, India, providing anti-tubercular and antiretroviral therapy (ATT and ART) to people with Human Immunodeficiency Virus (HIV) - associated Tuberculosis (TB) through a single window care approach at the ART centres (seven ART centres and 16 link ART centres).

OBJECTIVES

To determine the factors associated with non-adherence to concurrent therapy.

DESIGN

We conducted a case-control study involving primary and secondary data collection. Starting January 2019, we consecutively enrolled people on at least three months of ATT until we enrolled 125 cases (non-adherent to concurrent therapy) and 375 controls (adherent to concurrent therapy). Adherence was defined as taking >95% ART doses and >90% ATT doses, every month over the last three months. We performed multivariable logistic regression to identify factors associated with non-adherence.

RESULTS

The mean age of the cases and control was similar: 39.8 (standard deviation: 8.8) years. The risk factors for non-adherence were status non-disclosure (aOR = 2.06), zidovudine-based ART (aOR = 4.87), >3 side effects (aOR = 6.45), not receiving counselling before ATT initiation (aOR = 5.25) and non-receipt of co-trimoxazole prophylaxis (aOR = 9.90).

CONCLUSION

Major determinants for non-adherence were clinical and treatment related factors.

Social network analysis of COVID-19 transmission in Karnataka, India

We used social network analysis (SNA) to study the novel coronavirus (COVID-19) outbreak in Karnataka, India, and to assess the potential of SNA as a tool for outbreak monitoring and control. We analysed contact tracing data of 1147 COVID-19 positive cases (mean age 34.91 years, 61.99% aged 11-40, 742 males), anonymised and made public by the Karnataka government. Software tools, Cytoscape and Gephi, were used to create SNA graphics and determine network attributes of nodes (cases) and edges (directed links from source to target patients). Outdegree was 1-47 for 199 (17.35%) nodes, and betweenness, 0.5-87 for 89 (7.76%) nodes. Men had higher mean outdegree and women, higher mean betweenness. Delhi was the exogenous source of 17.44% cases. Bangalore city had the highest caseload in the state (229, 20%), but comparatively low cluster formation. Thirty-four (2.96%) 'super-spreaders' (outdegree ⩾ 5) caused 60% of the transmissions. Real-time social network visualisation can allow healthcare administrators to flag evolving hotspots and pinpoint key actors in transmission. Prioritising these areas and individuals for rigorous containment could help minimise resource outlay and potentially achieve a significant reduction in COVID-19 transmission.

Tuberculosis-diabetes mellitus bidirectional screening at a tertiary care centre, South India

SETTING

Tuberculosis (TB) and diabetes mellitus (DM) clinics at Bowring and Lady Curzon Hospital, a tertiary care centre in Bangalore, India.

OBEJCTIVE

To assess the feasibility and results of TB-DM bidirectional screening.

METHODS

A descriptive study conducted from 1 March to 30 September 2012, in which all TB patients were assessed for DM and vice versa. Fasting blood glucose values of ≥126 mg/dl and 110-125 mg/dl were considered as DM and pre-diabetes, respectively.

RESULTS

Of 510 TB patients, 32 (6.3%) had been previously diagnosed with DM. Screening among the remaining 478 patients yielded 15 (2.9%) with pre-diabetes and 15 (2.9%) newly diagnosed cases of DM. A higher prevalence of DM was found among patients aged ≥40 years, patients with pulmonary TB and smokers. Of the 47 TB-DM patients, 45 were enrolled in DM care. Of 1670 DM patients followed up in DM clinics, 45 already had TB. Among the remaining 1625 patients screened, 152 (9%) had symptoms suggestive of TB; two of these were found to have the disease.

CONCLUSION

Bidirectional screening for DM and TB is feasible and produces a high yield for DM among TB patients. The yield of TB among DM patients was low and needs future research using new, improved TB diagnostic tools.