Findings indicate a strong association between domestic spousal violence and poor mental health, and underscore the need for appropriate interventions.
BackgroundNeurodevelopmental disorders (NDDs) compromise the development and attainment of full social and economic potential at individual, family, community, and country levels. Paucity of data on NDDs slows down policy and programmatic action in most developing countries despite perceived high burden.Methods and findingsWe assessed 3,964 children (with almost equal number of boys and girls distributed in 2–<6 and 6–9 year age categories) identified from five geographically diverse populations in India using cluster sampling technique (probability proportionate to population size). These were from the North-Central, i.e., Palwal (N = 998; all rural, 16.4% non-Hindu, 25.3% from scheduled caste/tribe [SC-ST] [these are considered underserved communities who are eligible for affirmative action]); North, i.e., Kangra (N = 997; 91.6% rural, 3.7% non-Hindu, 25.3% SC-ST); East, i.e., Dhenkanal (N = 981; 89.8% rural, 1.2% non-Hindu, 38.0% SC-ST); South, i.e., Hyderabad (N = 495; all urban, 25.7% non-Hindu, 27.3% SC-ST) and West, i.e., North Goa (N = 493; 68.0% rural, 11.4% non-Hindu, 18.5% SC-ST). All children were assessed for vision impairment (VI), epilepsy (Epi), neuromotor impairments including cerebral palsy (NMI-CP), hearing impairment (HI), speech and language disorders, autism spectrum disorders (ASDs), and intellectual disability (ID). Furthermore, 6–9-year-old children were also assessed for attention deficit hyperactivity disorder (ADHD) and learning disorders (LDs). We standardized sample characteristics as per Census of India 2011 to arrive at district level and all-sites-pooled estimates. Site-specific prevalence of any of seven NDDs in 2–<6 year olds ranged from 2.9% (95% CI 1.6–5.5) to 18.7% (95% CI 14.7–23.6), and for any of nine NDDs in the 6–9-year-old children, from 6.5% (95% CI 4.6–9.1) to 18.5% (95% CI 15.3–22.3). Two or more NDDs were present in 0.4% (95% CI 0.1–1.7) to 4.3% (95% CI 2.2–8.2) in the younger age category and 0.7% (95% CI 0.2–2.0) to 5.3% (95% CI 3.3–8.2) in the older age category. All-site-pooled estimates for NDDs were 9.2% (95% CI 7.5–11.2) and 13.6% (95% CI 11.3–16.2) in children of 2–<6 and 6–9 year age categories, respectively, without significant difference according to gender, rural/urban residence, or religion; almost one-fifth of these children had more than one NDD. The pooled estimates for prevalence increased by up to three percentage points when these were adjusted for national rates of stunting or low birth weight (LBW). HI, ID, speech and language disorders, Epi, and LDs were the common NDDs across sites. Upon risk modelling, noninstitutional delivery, history of perinatal asphyxia, neonatal illness, postnatal neurological/brain infections, stunting, LBW/prematurity, and older age category (6–9 year) were significantly associated with NDDs. The study sample was underrepresentative of stunting and LBW and had a 15.6% refusal. These factors could be contributing to underestimation of the true NDD burden in our population.ConclusionsThe study identifies NDDs in childre...
Objective To determine the prevalence of physical violence during pregnancy and the factors associated with it.Design A population-based, multicentre, cross sectional household survey.Setting Rural, slum and urban non-slum areas of Bhopal, Chennai, Delhi, Lucknow, Nagpur, Trivandrum and Vellore, in India. Participants A total of 9938 women who were 15 to 49 years of age and living with a child younger than 18 years old. Methods Probability proportionate to size sampling of households was performed in three strata. Trained field workers administered a structured questionnaire. Women who reported domestic violence were asked about violence during pregnancy. Outcome variables included six violent behaviours: slap, hit, kick, beat, use of weapon and harm in any other way. Moderate to severe violence was defined as experience of any one or more of the following behaviours: hit, beat or kick. Odds ratios were calculated for risk and protective factors of violence during pregnancy using logistic regression. Main outcome measures Physical spousal violence.Results The lifetime experience, during pregnancy, of being slapped was 16%, hit 10%, beat 10%, kicked 9%, use of weapon 5% and harmed in any other way 6%. Eighteen percent of women experienced at least one of these behaviours and 3% experienced all six. The overall prevalence of moderate to severe violence during pregnancy was 13%. Logistic regression showed that the factors determining whether a woman experienced moderate to severe violence during pregnancy were: husband accusing wife of an affair (OR 7.1; 95% CI 5.1 to 9.8), dowry harassment (OR 4.1; 95% CI 2.8 to 6.1), husband having an affair (OR 3.7; 95% CI 2.8 to 4.8), husband being regularly drunk (OR 3.2; 95% CI 2.6 to 4.1), low education of husband (OR 2.8; 95% CI 1.4 to 5.6), substance abuse by husband (OR 2.6; 95% CI 1.3 to 5.5), no social support (OR 1.8; 95% CI 1.1 to 3.0), three or more children (OR 1.6; 95% CI 1.2 to 2.1) and household crowding (OR 1.1; 95% CI 1.0 to 1.2). Conclusion In this study, 12.9% of women experienced moderate to severe physical violence during pregnancy. Suspicion of infidelity, dowry harassment, husband being regularly drunk and low education of husband were the main risk factors for violence during pregnancy.
To determine the proportion of children receiving antibiotics for common illnesses and to understand the antibiotic prescription ptern and factors influencing it, a cross sectional study was done among the private practitioners in Chennai, India 403 prescriptions by 40 physicians from selected health facilities were analyzed 79.9% of children with ARI (Acute respiratory infection) and ADD (Acute watery diarrhea) were prescribed antibiotics. Penicillins (43.9%) were the commonest antibiotic prescribed. Factors like postgraduate qualification, experience of physician, source and method of updating knowledge, inpatient practice setting and presence of fever influenced the antibiotic prescription.
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