The sociocultural context of family size preference, ideal sex composition, and induced abortion in India: findings from India's National Family Health surveys.
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ABSTRACT:
SUBMITTER: Agrawal S
PROVIDER: S-EPMC5562274 | biostudies-other | 2012
REPOSITORIES: biostudies-other
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Project description:BackgroundMonitoring abortion rates is highly relevant for demographic and public health considerations, yet its reliable estimation is fraught with uncertainty due to lack of complete national health facility service statistics and bias in self-reported survey data. In this study, we aim to test the confidante methodology for estimating abortion incidence rates in Nigeria, Cote d'Ivoire, and Rajasthan, India, and develop methods to adjust for violations of assumptions.MethodsIn population-based surveys in each setting, female respondents of reproductive age reported separately on their two closest confidantes' experience with abortion, in addition to reporting about their own experiences. We used descriptive analyses and design-based F tests to test for violations of method assumptions. Using post hoc analytical techniques, we corrected for biases in the confidante sample to improve the validity and precision of the abortion incidence estimates produced from these data.ResultsResults indicate incomplete transmission of confidante abortion knowledge, a biased confidante sample, but reduced social desirability bias when reporting on confidantes' abortion incidences once adjust for assumption violations. The extent to which the assumptions were met differed across the three contexts. The respondent 1-year pregnancy removal rate was 18.7 (95% confidence interval (CI) 14.9-22.5) abortions per 1000 women of reproductive age in Nigeria, 18.8 (95% CI 11.8-25.8) in Cote d'Ivoire, and 7.0 (95% CI 4.6-9.5) in India. The 1-year adjusted abortion incidence rates for the first confidantes were 35.1 (95% CI 31.1-39.1) in Nigeria, 31.5 (95% CI 24.8-38.1) in Cote d'Ivoire, and 15.2 (95% CI 6.1-24.4) in Rajasthan, India. Confidante two's rates were closer to confidante one incidences than respondent incidences. The adjusted confidante one and two incidence estimates were significantly higher than respondent incidences in all three countries.ConclusionsFindings suggest that the confidante approach may present an opportunity to address some abortion-related data deficiencies but require modeling approaches to correct for biases due to violations of social network-based method assumptions. The performance of these methodologies varied based on geographical and social context, indicating that performance may be better in settings where abortion is legally and socially restricted.
| S-EPMC7574299 | biostudies-literature
Project description:The goal of this qualitative study was to describe the beliefs and experiences of Vietnamese caregivers caring for a family member with dementia and to elicit their ideas about promising interventions. We recruited 10 caregivers from support groups, the Alzheimer's Association, and local community-based organizations in Northern California. We conducted semi-structured in-depth interviews with all caregivers, as well as a focus group to obtain ideas about supportive strategies. Several themes emerged from the data: (1) Filial piety was influential in caregiving; (2) A sense of loss/grief or trauma was pervasive; and (3) Caregivers had clear sources of stress and sources of support. An overarching theme underlying these three topics was that cultural beliefs, values, and expectations impacted the caregiving experience. Suggestions for promising interventions included education, language-congruent and/or telephone support groups, case management, inclusion of the care recipient in the intervention, and importance of credibility of the intervention. It also may be valuable to include an understanding of cultural values and promotion of spirituality and religion as key components. Findings highlight targets for dementia caregiver interventions to reduce burden and distress in an understudied population.
| S-EPMC4659380 | biostudies-literature
Project description:This study aimed to measure abortion safety in Nigeria, Cote d'Ivoire, and Rajasthan, India using population-based abortion data from representative samples of reproductive age women. Interviewers asked women separately about their experience with "pregnancy removal" and "period regulation at a time when you were worried you were pregnant", and collected details on method(s) and source(s) of abortion. We operationalized safety along two dimensions: 1) whether the method(s) used were non-recommended and put the woman at potentially high risk of abortion related morbidity and mortality (i.e. methods other than surgery and medication abortion drugs); and 2) whether the source(s) used involved a non-clinical (or no) provider(s). We combined source and method information to categorize a woman's abortion into one of four safety categories. In Nigeria (n = 1,800), 29.1% of abortions involved a recommended method and clinical provider, 5.4% involved a recommended method and non-clinical provider, 2.1% involved a non-recommended method and clinical provider, and 63.4% involved a non-recommended method and non-clinical provider. The corresponding estimates were 32.7%, 3.0%, 1.9%, and 62.4% in Cote d'Ivoire (n = 645) and 39.7%, 25.5%, 3.4%, and 31.4% in Rajasthan (n = 454). Results demonstrate that abortion safety, as measured by abortion related process data, is generally low but varies significantly by legal context. The policy and programmatic strategies employed to improve abortion safety and quality of care are likely to differ for women in different abortion safety categories.
| S-EPMC6837422 | biostudies-literature
Project description:BackgroundPost abortion contraceptive use is an important area in provisioning of services associated with child birth planning. This study examines the factors related to the type and timing of initiation of contraception adoption among women who had undergone induced abortion. Study also tries to identify the role of personnel who provided the abortion service on decision of family planning adoption using complementary log-log model in India.MethodologyThe study uses the secondary data from the fifth round of the National Family Household Survey conducted during 2019-21. For, the analysis, we have used five-year women's reproductive calendar to extract information on contraceptive use, post last induced abortion among women. We used complementary log-log regression models, to estimate relative risk ratios and its 95% Confidence intervals (CI).ResultsAccording to NFHS-5, out of all the last pregnancies (2,55,549), about three percent resulted in abortion. Most of the abortion occurred in private facilities (55%), with the help of health professionals (71%). From the women's reproductive calendar, it was found that around 40% of the women adopted modern methods of contraception, with maximum adopting spacing method (33%), and only handful adopted permanent method (7%). It was also found that the likelihood of early adoption of permanent method increased to two times when the abortion is done by health professional compared to others [95% CI (1.25-3.30)].ConclusionThis emphasises a need for quality counselling related to timing and types of family planning as an essential part of the family planning program ensuring client centric approach suited to their needs and contexts that helps in alleviating any apprehensions associated with adverse effects of modern contraceptive methods.
| S-EPMC10463293 | biostudies-literature
Project description:PurposeIndia is confronted with a multifaceted malnutrition landscape, characterized by the coexistence of stunting, underweight, and escalating overweight and obesity rates. Current programs predominantly target undernutrition, overlooking the surging prevalence of overweight and obesity. These trends carry substantial economic ramifications, with obesity-related costs expected to rise significantly. Addressing these challenges requires enhanced policy execution and strategic collaboration. This article seeks to help overcome policy inertia in addressing the other end of the malnutrition spectrum-overnutrition.MethodsThe National Family Health Survey (NFHS), a large-scale survey conducted by the Ministry of Health and Family Welfare, Government of India, provides high-quality data on population dynamics and health indicators. Data for relevant health indicators were extracted from NFHS-3 to NFHS-5 to identify trends and shifting paradigms in malnutrition profiles. Data from the latest NFHS (NFHS-5) were briefly analyzed to highlight the malnutrition dichotomy and perform linear regression analysis.ResultsThe data revealed a declining trend in stunting and underweight prevalence alongside a rise in overweight prevalence. Linear regression analyses on NFHS-5 data showed a positive association between literacy and obesity in both men and women. The findings also indicated that children fed with minimum dietary diversity were more likely to be overweight, and revealed a significant association between elevated random blood glucose levels and obesity in women.ConclusionsBy implementing the necessary interventions and strategies, India can establish a holistic approach to addressing both undernutrition and overnutrition effectively, thus contributing to Sustainable Development Goal-2 and paving the way for a healthier and more productive future for India's population.
| S-EPMC11919374 | biostudies-literature
Project description:Despite its frequency, abortion remains a highly sensitive, stigmatized, and difficult-to-measure behavior. We present estimates of abortion underreporting for three of the most commonly used national fertility surveys in the United States: the National Survey of Family Growth, the National Longitudinal Survey of Youth 1997, and the National Longitudinal Study of Adolescent to Adult Health. Numbers of abortions reported in each survey were compared with external abortion counts obtained from a census of all U.S. abortion providers, with adjustments for comparable respondent ages and periods of each data source. We examined the influence of survey design factors, including survey mode, sampling frame, and length of recall, on abortion underreporting. We used Monte Carlo simulations to estimate potential measurement biases in relationships between abortion and other variables. Underreporting of abortion in the United States compromises the ability to study abortion-and, consequently, almost any pregnancy-related experience-using national fertility surveys.
| S-EPMC7329789 | biostudies-literature
Project description:ObjectiveTo examine whether a first abortion increases risk of mental health disorders compared with a first childbirth with and without considering prepregnancy mental health and adverse exposures, childhood economic status, miscarriage history, age at first abortion or childbirth, and race or ethnicity.MethodsA cohort study compared rates of mental disorders (anxiety, mood, impulse-control, substance use, eating disorders, and suicidal ideation) among 259 women postabortion and 677 women postchildbirth aged 18-42 years at the time of interview from The National Comorbidity Survey-Replication.ResultsThe percentage of women with no, one, two, and three or more mental health disorders before their first abortion was 37.8%, 19.7%, 15.2%, and 27.3% and before their first childbirth was 57.9%, 19.6%, 9.2%, and 13.3%, respectively, indicating that women in the abortion group had more prior mental health disorders than women in the childbirth group (P<.001). Although in unadjusted Cox proportional hazard models, abortion compared with childbirth was associated with statistically significant higher hazards of postpregnancy mental health disorders, associations were reduced and became nonstatistically significant for five disorders after adjusting for the aforementioned factors. Hazard ratios and associated 95% confidence intervals dropped from 1.52 (1.08-2.15) to 1.12 (0.87-1.46) for anxiety disorders; from 1.56 (1.23-1.98) to 1.18 (0.88-1.56) for mood disorders; from 1.62 (1.02-2.57) to 1.10 (0.75-1.62) for impulse-control disorders; from 2.53 (1.09-5.86) to 1.82 (0.63-5.25) for eating disorders; and from 1.62 (1.09-2.40) to 1.25 (0.88-1.78) for suicidal ideation. Only the relationship between abortion and substance use disorders remained statistically significant, although the hazard ratio dropped from 3.05 (1.94-4.79) to 2.30 (1.35-3.92).ConclusionsAfter accounting for confounding factors, abortion was not a statistically significant predictor of subsequent anxiety, mood, impulse-control, and eating disorders or suicidal ideation. LEVEL OF EVEDIENCE: II.
| S-EPMC3929105 | biostudies-literature
Project description:BackgroundChildhood mortality and morbidity has become a major public health issue in low-middle-income countries. However, evidence suggested that Low birth weight(LBW) is one of the most important risk factors for childhood deaths and disability.This study is designed to estimate the prevalence of low birth weight (LBW) in India and to identify maternal correlates associated with LBW.MethodsData has been taken from National Family Health Survey 5 (2019-2021) for analysis. 149,279 women belonging to reproductive age group (15-49) year who had last recent most delivery preceding the NFHS-5 survey.ResultsMother's age, female child, birth interval of less than 24 months, their low educational level, low wealth index, rural residence, lack of insurance coverage, women with low BMI, anaemia, and no ANC visits during pregnancy are predictors that contribute to LBW in India. After adjusting for covariates, smoking and alcohol consupmtion is strongly correlated with LBW.ConclusionMother's age, educational attainment and socioeconomic status of living has a highly significant with LBW in India. However, consumption of tobacco and cigarrettes are also associated with LBW.
| S-EPMC10283257 | biostudies-literature
Project description:BackgroundThe World Health Organization (WHO) recommends exclusive breastfeeding (EBF) in infants for the first 6 months of life. This analysis aims to estimate the proportion of Indian infants exclusively breastfed for the first 6 months using the National Family Health Surveys (NFHS)-4 and 5, and further, determine factors associated with EBF practices.MethodsEBF for this analysis was defined as when infants received only breast milk and no complementary feeds (solid food, water, animal milk, baby formula, juice, and fortified food) in the last 24 h prior to the survey. The proportion of infants exclusively breastfed was plotted from birth to 6 months as per the age of children at the time of the survey, and this was computed for individual states, union territories, and overall, for India. Univariate and multivariable logistic regression analyses were performed to examine factors influencing EBF in Indian infants.ResultsThe proportion of Indian infants exclusively breastfed for 6 months was 31.3% (1280/4095; 95% CI 29.9, 32.7) and 43% (1657/3853; 95% CI 41.4, 44.6) as per the NFHS-4 and 5 surveys, respectively. In NFHS-5, infants of scheduled tribes (aOR 1.5; 95% CI 1.2, 1.9) and mothers who delivered at public health facilities (aOR 1.3; 95% CI 1.1, 1.5) showed an increased odds of being exclusively breastfed at 6 months of life compared to their counterparts. Further, infants of mothers aged < 20 years (aOR 0.5; 95% CI 0.4, 0.7), low birth weight infants (aOR 0.6; 95% CI 0.4, 0.8), and infants in whom breastfeeding was initiated one hour after birth (aOR 0.8; 95% CI 0.7, 0.9) showed a reduced odds of being exclusively breastfed at 6 months compared to their counterparts.ConclusionsThe overall EBF practice showed an increasing trend in the NFHS-5 compared to the NFHS-4 survey. However, a vast gap remains unaddressed in the Indian setting with > 50% of the population still not exclusively breastfeeding their infants for the WHO recommended duration of first 6 months. Behavioral studies dissecting the complex interplay of factors influencing EBF within the heterogenous Indian population can help plan interventions to promote and scale-up EBF in Indian infants.
| S-EPMC10731841 | biostudies-literature
Project description:The COVID-19 pandemic created a need for high-frequency employment and income data. Policy-makers and researchers of developing countries typically have not had access to such data. In India, a new private high-frequency panel dataset has recently emerged as the dataset of choice for analysis of the economic impact of COVID-19. This is the Consumer Pyramids Household Survey (CPHS) conducted by the Centre for Monitoring the Indian Economy (CMIE). But the CPHS has also been criticised for being inadequately representative nationally by missing poor and vulnerable households in its sample. We examine the comparability of monthly labour income estimates for the pre-pandemic year (2018-19) for CPHS and the official Periodic Labour Force Survey (PLFS). Across different methods and assumptions, as well as rural/urban locations, CPHS mean monthly labour earnings are anywhere between 5 percent and 50 percent higher than corresponding PLFS estimates. In addition to the sampling concerns raised in the literature, we point to differences in the way employment and income are captured in the two surveys as possible causes of these differences. While CPHS estimates are always higher, it should also be emphasised that the two surveys agree on some stylised facts regarding the Indian workforce. An individual earning ₹50,000 per month lies in the top 5 percent of the income distribution in India as per both surveys. Second, both PLFS and CPHS show that half the Indian workforce earns below the recommended National Minimum Wage.Supplementary informationThe online version contains supplementary material available at 10.1007/s41027-023-00427-8.
| S-EPMC9961298 | biostudies-literature