Does mothers’ pregnancy intention affect their children’s preventive and curative care in India? Evidence from a longitudinal survey
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ABSTRACT: Objective
To assess the effect of unintended births on preventive and curative care of children and their nutritional status. Design
The study uses a cross-sectional prospective design. Setting
Indian Human Development Survey (IHDS) data of two rounds were used in this study. Women data file was used to draw a representative sample of 3905 children who belong to under 5 years of age group. Statistical analyses
We categorised birth as an unintended birth if the mother did not want to have an additional child at IHDS-I but gave birth during the intersurvey. Furthermore, all births exceeding to the desired number of children reported by mothers in the IHDS-II were also included in unintended births. Multivariate logistic regression models were applied to analyse the effect of unintended births on child immunisation and exclusive breast feeding, while multivariate linear regression models were used to assess the effect of childbearing intention on child nutritional status. Results
The study shows that by controlling other factors, children from unintended births were less likely to be exclusively breast fed (OR 0.885, 95% CI 0.792 to 0.990, p<0.05) and receive full immunisation (OR 0.830, 95% CI 0.739 to 0.931, p<0.001). Moreover, poor nutrition was more prevalent among children from unintended births as they were more likely to be stunted and underweight. Conclusions
The study confirmed the adverse effects of unintended pregnancy on children’s preventive and curative care. The findings of the study underscore the importance of formulating policies on more affordable, accessible and available means of family planning to reduce the unintended births.
SUBMITTER: Chowdhury P
PROVIDER: S-EPMC8039270 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:IntroductionTobacco is the leading cause of death and disease in India. This study examines the effect of training intervention in behavioral counseling on intention to quit tobacco in primary healthcare settings in India. The intervention included training to improve behavioral counseling practices of primary care physicians (PCPs) based on the 5As approach to increase patients' motivation to quit tobacco.MethodsA quasi-experimental design was used for the study. The intervention consists of training of primary care physicians in the behavioral intervention in tobacco cessation. The intervention was conducted in twelve districts of two states in India (Rajasthan and Odisha) in 2016-2017. Four districts were randomly sampled for the study. A total of 1314 participants (intervention and control) were recruited for the study in the baseline and end-line surveys, respectively. Intention to quit in 30 days was the primary outcome measure. Difference-in-difference (DiD) logistic regression models were used separately for smokers and smokeless tobacco users to estimate the odds of intention to quit. Analysis was done in STATA Version 14.ResultsThe intervention and time variable had a significantly positive influence on the intention to quit tobacco among smokers. Smokers in the intervention districts had higher odds of intention to quit (OR=9.82; 95% CI: 1.67-57.72) compared to smokers in the control districts. Smokeless tobacco (SLT) users had higher odds of intention to quit (OR=3.06; 95% CI: 1.35-6.98) in the end-line survey compared to baseline survey.ConclusionsOur findings indicate that building capacity in behavioral intervention in primary care settings can help increase the intention to quit among smokers. The observed difference in intention to quit between smokers and SLT users suggests the need of tailored counseling interventions for SLT users. There is a need for further research to design and evaluate training and behavioral interventions for SLT and dual (smoking and SLT) users in primary care settings in low- and middle-income countries.
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Project description:ContextMeasurement of pregnancy intentions typically relies on retrospective reporting, an approach that may misrepresent the extent of unintended pregnancy. However, the degree of possible misreporting is unclear, as little research has compared prospective and retrospective reports of intention for the same pregnancies.MethodsLongitudinal data collected between 2010 and 2015 on 174 pregnancies were used to analyze the magnitude and direction of changes in intendedness (intended, ambivalent or unintended) between prospective and retrospective measurements of intendedness using versions of the London Measure of Unplanned Pregnancy (LMUP). Changes were assessed both continuously and categorically. Differences in the degree of change-by pregnancy outcome and participant characteristics-were examined using mixed-effects linear and logistic regression models.ResultsOver two and one-half years of follow-up, 143 participants reported 174 pregnancies. Approximately half showed changes in intention between the prospective and retrospective assessments, with 38% of participants reporting increased intendedness and 10% decreased intendedness. Reported intendedness increased more among those who gave birth (mean change in continuous LMUP score, 2.2) than among those who obtained an abortion (0.7), as well as among individuals with a college degree (4.1) than among those with a high school diploma (1.2). Participants who reported recent depression or anxiety symptoms showed more stable intentions (0.02) than those who did not (2.1).ConclusionsRetrospective measurement of pregnancy intentions may underestimate the frequency of unintended pregnancy, with such underestimation being greater among certain subgroups. Estimates based on retrospective reports thus may produce inaccurate impressions of intentionality. Further efforts to refine the measurement of pregnancy preferences are needed.
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Project description:BACKGROUND:Optimal parental preconception health benefits reproductive outcomes. However, preconception health promotion is not routinely offered in primary health care settings to people of reproductive age. The aim was to gauge the planned preconception health behaviours and attitudes towards being asked about pregnancy intention by a general practitioner (GP) among people of reproductive age in Australia. METHOD:The research was conducted on a single wave of Australia's first and only probability-based online panel, Life in Australia™. Members of the Life in Australia™ panel are Australian residents aged 18?years or over. All active members between the ages of 18 and 45?years were eligible to participate. Eligible panel members were invited to complete a survey about fertility and childbearing. Data were collected from 18 February to 4 March 2019. RESULTS:In all 965 female and male members of Life in Australia™ aged between 18 and 45?years were invited to complete the survey. Of these, 716 (74.2%) agreed. Most respondents indicated that if they were planning to have a child they would try to optimise their preconception health by adopting a healthier diet (80%), seeing a GP for a health check-up (78%), reducing alcohol consumption (78% of those consuming alcohol), getting fitter (73%), and stopping smoking (70% of smokers). Three in four (74%) stated that they would not mind if their GP asked them about their pregnancy intentions. CONCLUSION:Findings suggests that routinely asking people of reproductive age about their pregnancy intentions and advising those who are planning pregnancy about what they can do to ensure optimal preconception health would be acceptable to most people and may improve reproductive outcomes.
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Project description:BackgroundCollecting longitudinal data during and shortly after pregnancy is difficult, as pregnant women often avoid studies with repeated surveys. In contrast, pregnant women interact with certain websites at multiple stages throughout pregnancy and the postpartum period. This digital connection presents the opportunity to use a website as a way to recruit and enroll pregnant women into a panel study and collect valuable longitudinal data for research. These data can then be used to learn new scientific insights and improve health care.ObjectiveThe objective of this paper is to describe the approaches applied and lessons learned from designing and conducting an online panel for health care research, specifically perinatal mood disorders. Our panel design and approach aimed to recruit a large sample (N=1200) of pregnant women representative of the US population and to minimize attrition over time.MethodsWe designed an online panel to enroll participants from the pregnancy and parenting website BabyCenter. We enrolled women into the panel from weeks 4 to 10 of pregnancy (Panel 1) or from weeks 28 to 33 of pregnancy (Panel 2) and administered repeated psychometric assessments from enrollment through 3 months postpartum. We employed a combination of adaptive digital strategies to recruit, communicate with, and build trust with participants to minimize attrition over time. We were transparent at baseline about expectations, used monetary and information-based incentives, and sent personalized reminders to reduce attrition. The approach was participant-centric and leveraged many aspects of flexibility that digital methods afford.ResultsWe recruited 1179 pregnant women-our target was 1200-during a 26-day period between August 25 and September 19, 2016. Our strategy to recruit participants using adaptive sampling tactics resulted in a large panel that was similar to the US population of pregnant women. Attrition was on par with existing longitudinal observational studies in pregnant populations, and 79.2% (934/1179) of our panel completed another survey after enrollment. There were 736 out of 1179 (62.4%) women who completed at least one assessment in both the prenatal and postnatal periods, and 709 out of 1179 (60.1%) women who completed the final assessment. To validate the data, we compared participation rates and factors of perinatal mood disorders ascertained from this study with prior research, suggesting reliability of our approach.ConclusionsA suitably designed online panel created in partnership with a digital media source that reaches the target audience is a means to leverage a conveniently sized and viable sample for scientific research. Our key lessons learned are as follows: sampling tactics may need to be adjusted to enroll a representative sample, attrition can be reduced by adapting to participants' needs, and study engagement can be boosted by personalizing interactions with the flexibility afforded by digital technologies.
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Project description:ObjectiveTo investigate the effect of question order on women's responses to the London Measure of Unplanned Pregnancy (LMUP) or the pregnancy intention question of the Demographic and Health Survey (DHS) when both are asked in the same survey. We collected data on pregnancy intention from a cohort of 4244 pregnant women in Malawi who were re-interviewed at 1, 6 and 12 months postnatally. Women in Zone 1 were asked the LMUP, then antenatal questions, then the DHS pregnancy intention question, women in Zone 2 were asked the DHS pregnancy intention question, then antenatal questions, then the LMUP; women in Zone 3 were only asked the DHS pregnancy intention question. We used linear regression to compare the LMUP score and ordinal regression to compare DHS categorisations of pregnancy intention across Zones, adjusting for baseline socioeconomic differences between the Zones.ResultsWe found no effect of question order on the assessment of pregnancy intention by the LMUP. There were differences in the assessment of pregnancy intention when the pregnancy intention question in the DHS was used, however this seemed to be due to baseline sociodemographic differences between the groups of pregnant women being compared, and not due to question order.
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Project description:ObjectiveBreastfeeding has multiple benefits for women and babies. Understanding factors contributing to intention to exclusively breastfeed may allow for improving the rates in first-time mothers. The study objective was to examine factors associated with a woman's intention to breastfeed her first child.MethodsA secondary analysis of the prospective "Nulliparous Pregnancy Outcomes Study: monitoring mothers-to-be" (nuMoM2b) study of nulliparous women in the U.S. with singleton pregnancies was performed. Sociodemographic and psychosocial factors were analyzed for associations with breastfeeding intention.ResultsFor the 6443 women with complete information about breastfeeding intention and all factors under consideration, women who intended to breastfeed (either exclusively or any breastfeeding) were more likely to be older, not black, have reached a higher level of education, have higher incomes, have a lower body mass index (BMI), and be nonsmokers. Reporting a planned pregnancy and several psychosocial measures were also associated with intention to breastfeed. In the multivariable analysis for exclusive breastfeeding, in addition to age, BMI, race, income, education, and smoking, of the psychosocial measures assessed, only women with higher hassle intensity ratios on the Pregnancy Experience Scale had lower odds of exclusive breastfeeding intention (OR 0.71, 95% CI 0.55-0.92). Other psychosocial measures were not associated with either exclusive breastfeeding or any breastfeeding after controlling for demographic characteristics.Conclusions for practiceSeveral sociodemographic factors, having a planned pregnancy, and fewer intense pregnancy hassles compared to uplifts are associated with intention to exclusively breastfeed. Identifying these factors may allow providers to identify women for focused, multilevel efforts to enhance breastfeeding rates.
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Project description:OBJECTIVES:The major objective of this study was to investigate the prevalence of labour room violence (LRV) (one of the forms of obstetric violence) faced by the women during the time of delivery in Uttar Pradesh (UP) (the largest populous state of India which is also considered to be a microcosm of India). Furthermore, this study also analyses the association between prevalence of obstetric violence and socioeconomic characteristics of the respondents. DESIGN:The study was longitudinal in design with the first visit to women made at the time of first trimester. The second visit was made at the time of second trimester and the last visit was made after the delivery. However, we have continuously tracked women over phone to keep record of developments and adverse consequences. SETTINGS:Urban and rural areas of UP, India. PARTICIPANTS:Sample of 504 pregnant women was systematically selected from the Integrated Child Development Scheme Register of pregnant women. OUTCOME:We aimed to assess the levels and determinants of LRV using data collected from 504 pregnant women in a longitudinal survey conducted in UP, India. The dataset comprised three waves of survey from the inception of pregnancy to childbirth and postnatal care. Logistic regression model has been used to assess the association between prevalence of LRV faced by the women at the time of delivery and their background characteristics. RESULT:About 15.12% of women are facing LRV in UP, India. Results from logistic regression model (OR) show that LRV is higher among Muslim women (OR 1.8, 95% CI 0.7 to 4.3) relative to Hindu women (OR 1). The prevalence of LRV is higher among lower castes relative to general category, and is higher among those women who have no mass media exposure (OR 4.7, 95% CI 1.7 to 12.8) compared with those who have (OR 1). CONCLUSION:In comparison with global evidence, the level of LRV in India is high. Women from socially disadvantaged communities are facing higher LRV than their counterparts.
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