scholarly journals Second-Hand Smoke Exposure inside the House and Adverse Birth Outcomes in Indonesia: Evidence from Demographic and Health Survey 2017

2021 ◽  
Author(s):  
Helen Andriani ◽  
Nurul Dina Rahmawati ◽  
Abdillah Ahsan ◽  
Dian Kusuma
Keyword(s):  
Birth Weight ◽  
Birth Outcomes ◽  
Health Survey ◽  
Large Scale ◽  
Demographic And Health Survey ◽  
Second Hand Smoke ◽  
Adverse Birth Outcomes ◽  
Mortality And Morbidity ◽  
Shs Exposure ◽  
Size At Birth

Objectives: Second-hand Smoke (SHS) during pregnancy among non-smoking women associates with mortality and morbidity risks in their infants. However, little is known about the SHS inside the house and the adverse birth outcomes. This study aims to assess the prevalence, level, and frequency of SHS exposure inside the house and investigate their associations with birth outcomes. Methods: We use the Indonesian Demographic and Health Survey (IDHS) 2017, a large-scale nationally representative survey. Women aged 15 to 49 years who had given birth in the last five years before the study and their husbands were interviewed (n=19,935). Three dependent variables included Low Birth Weight (LBW), size at birth, and birth weight. Results: Seventy-eight percent of mothers exposed to SHS inside home, of whom 7.2% had LBW children. Compared to non-SHS exposure mothers, those exposed to SHS were younger, had first birth before 20 years old, married, lower educated, non-worker, lived in rural, grand multipara, had pollution from cooking fuel, cook in a separate building, had higher risk of delivering lower birth weight (aOR=1.16, 95% CI: 1.02, 1.33), and smaller baby (aOR=1.51, 95%CI: 1.35, 1.69), even after the controlling for the covariates. We identified the inverted U-shaped association for SHS exposure frequency. Similar risk was also observed among mothers exposed with SHS on a daily basis compared to those who are not exposed. Conclusion: Exposure to SHS inside home was significantly associated with LBW and size at birth. Given the high smoking prevalence, relevant policy and health promotion are needed.

Low Birth Weight in Ethiopia: A Multi-Level Analysis of 2016 Ethiopian Demographic and Health Survey

2020 ◽  
Author(s):  
Addisu Alehegn Alemu ◽  
Liknaw Bewket Zeleke ◽  
Bewket Aynalem ◽  
Melaku Desta ◽  
Eskeziaw Abebe Kasahun ◽  
...  
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Health Survey ◽  
Demographic And Health Survey ◽  
Multi Level ◽  
Level Analysis

scholarly journals Mass incarceration and public health: the association between black jail incarceration and adverse birth outcomes among black women in Louisiana

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Lauren Dyer ◽  
Rachel Hardeman ◽  
Dovile Vilda ◽  
Katherine Theall ◽  
Maeve Wallace
Keyword(s):  
Birth Weight ◽  
Preterm Birth ◽  
Black Women ◽  
Low Birth Weight ◽  
Racial Disparities ◽  
Population Health ◽  
Birth Outcomes ◽  
Mass Incarceration ◽  
Interquartile Range ◽  
Adverse Birth Outcomes

Abstract Background A growing body of evidence is beginning to highlight how mass incarceration shapes inequalities in population health. Non-Hispanic blacks are disproportionately affected by incarceration and criminal law enforcement, an enduring legacy of a racially-biased criminal justice system with broad health implications for black families and communities. Louisiana has consistently maintained one of the highest rates of black incarceration in the nation. Concurrently, large racial disparities in population health persist. Methods We conducted a cross-sectional analysis of all births among non-Hispanic black women in Louisiana in 2014 to identify associations between parish-level (county equivalent) prevalence of jail incarceration within the black population and adverse birth outcomes (N = 23,954). We fit a log-Poisson model with generalized estimating equations to approximate the relative risk of preterm birth and low birth weight associated with an interquartile range increase in incarceration, controlling for confounders. In sensitivity analyses, we additionally adjusted for the parish-level index crime prevalence and analyzed regression models wherein white incarceration was used to predict the risk of adverse birth outcomes in order to quantify the degree to which mass incarceration may harm health above and beyond living in a high crime area. Results There was a significant 3% higher risk of preterm birth among black women associated with an interquartile range increase in the parish-level incarceration prevalence of black individuals, independent of other factors. Adjusting for the prevalence of index crimes did not substantively change the results of the models. Conclusion Due to the positive significant associations between the prevalence of black individuals incarcerated in Louisiana jails and estimated risk of preterm birth, mass incarceration may be an underlying cause of the persistent inequities in reproductive health outcomes experienced by black women in Louisiana. Not only are there economic and social impacts stemming from mass incarceration, but there may also be implications for population health and health inequities, including the persistence of racial disparities in preterm birth and low birth weight.

scholarly journals Inadequate Gestational Weight Gain and Exposure to Second-Hand Smoke during Pregnancy Increase the Risk of Low Birth Weight: A Cross-Sectional Study among Full-Term Infants

2021 ◽  
Vol 18 (3) ◽  
pp. 1068
Author(s):  
Muliana Edi ◽  
Yit Chin ◽  
Fui Woon ◽  
Geeta Appannah ◽  
Poh Lim ◽  
...  
Keyword(s):  
Weight Gain ◽  
Birth Weight ◽  
Pregnant Women ◽  
Medical Records ◽  
Cross Sectional Study ◽  
Second Hand Smoke ◽  
Sectional Study ◽  
Cross Sectional ◽  
Shs Exposure ◽  
At Home

Despite the advancement of the healthcare system, low birth weight (LBW) remains as one of the leading causes of under-five mortality. This cross-sectional study aimed to determine the prevalence of LBW and its associated factors among 483 third trimester pregnant women recruited from six selected public health clinics in the Federal Territory of Kuala Lumpur and the state of Selangor, Malaysia. Pregnant women were interviewed for information on socio-demographic characteristics, smoking behaviour, and second-hand smoke (SHS) exposure at home and in the workplace. Information on the obstetrical history and prenatal care visits history were retrieved from the maternal medical records, while infant’s birth outcomes were retrieved from infant medical records. The prevalence of LBW (<2.5 kg) in infants was 10.4%, with a mean birth weight of 3.0 [standard deviation (SD) 0.4] kg. Results from the multivariable logistic regression model showed that inadequate weight gained during pregnancy [odds ratio (OR) = 2.41, 95% confidence interval (CI) = 1.18–4.90] and exposure to SHS at home (OR = 1.92, 95% CI = 1.03–3.55) were significantly associated with LBW. In conclusion, pregnant women should monitor their rate of weight gain throughout pregnancy and avoid SHS exposure at home to reduce the risk of delivering LBW infants.

scholarly journals Maternal exposure to airborne polychlorinated biphenyls (PCBs) and risk of adverse birth outcomes

2021 ◽  
Author(s):  
Ane Bungum Kofoed ◽  
Laura Deen ◽  
Karin Sørig Hougaard ◽  
Kajsa Ugelvig Petersen ◽  
Harald William Meyer ◽  
...  
Keyword(s):  
Birth Weight ◽  
Preterm Birth ◽  
Sex Ratio ◽  
Polychlorinated Biphenyls ◽  
Birth Outcomes ◽  
Gestational Age ◽  
Small For Gestational Age ◽  
Maternal Exposure ◽  
Adverse Birth Outcomes ◽  
Secondary Sex Ratio

AbstractHuman health effects of airborne lower-chlorinated polychlorinated biphenyls (LC-PCBs) are largely unexplored. Since PCBs may cross the placenta, maternal exposure could potentially have negative consequences for fetal development. We aimed to determine if exposure to airborne PCB during pregnancy was associated with adverse birth outcomes. In this cohort study, exposed women had lived in PCB contaminated apartments at least one year during the 3.6 years before conception or the entire first trimester of pregnancy. The women and their children were followed for birth outcomes in Danish health registers. Logistic regression was performed to estimate odds ratios (OR) for changes in secondary sex ratio, preterm birth, major congenital malformations, cryptorchidism, and being born small for gestational age. We performed linear regression to estimate difference in birth weight among children of exposed and unexposed mothers. All models were adjusted for maternal age, educational level, ethnicity, and calendar time. We identified 885 exposed pregnancies and 3327 unexposed pregnancies. Relative to unexposed women, exposed women had OR 0.97 (95% CI 0.82, 1.15) for secondary sex ratio, OR 1.13 (95% CI 0.76, 1.67) for preterm birth, OR 1.28 (95% CI 0.81, 2.01) for having a child with major malformations, OR 1.73 (95% CI 1.01, 2.95) for cryptorchidism and OR 1.23 (95% CI 0.88, 1.72) for giving birth to a child born small for gestational age. The difference in birth weight for children of exposed compared to unexposed women was − 32 g (95% CI—79, 14). We observed an increased risk of cryptorchidism among boys after maternal airborne LC-PCB exposure, but due to the proxy measure of exposure, inability to perform dose–response analyses, and the lack of comparable literature, larger cohort studies with direct measures of exposure are needed to investigate the safety of airborne LC-PCB exposure during pregnancy

scholarly journals Paternal age and the risk of low birth weight and preterm delivery: a Finnish register-based study

2018 ◽  
Vol 72 (12) ◽  
pp. 1104-1109 ◽  
Author(s):  
Alice Goisis ◽  
Hanna Remes ◽  
Kieron Barclay ◽  
Pekka Martikainen ◽  
Mikko Myrskylä
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Preterm Delivery ◽  
Birth Outcomes ◽  
Conclusive Evidence ◽  
Paternal Age ◽  
Adverse Birth Outcomes ◽  
Maternal Characteristics ◽  
Parental Characteristics ◽  
Increased Risk

BackgroundBased on existing studies, there is no conclusive evidence as to whether and why paternal age matters for birth outcomes.MethodsWe used Finnish population registers on 106 652 children born 1987–2000. We first document the unadjusted association between paternal age and the risk of low birth weight (LBW; <2500 g) and preterm birth (<37 weeks’ gestation). Second, we investigate whether the unadjusted association is attenuated on adjustment for child’s, maternal and parental socioeconomic characteristics. Third, by adopting a within-family design which involves comparing children born to the same father at different ages, we additionally adjust for unobserved parental characteristics shared between siblings.ResultsThe unadjusted results show that being born to a father aged 40+, as opposed to a father aged 30–34, is associated with an increased risk of LBW of 0.96% (95% CI 0.5% to 1.3%) and to a younger father (<25) with a 1% (95% CI 0.6% to 1.3%) increased risk. The increased risk at younger paternal ages is halved on adjustment for the child’s characteristics and fully attenuated on adjustment for child/parental characteristics. The increased risk at paternal ages 40+ is partially attenuated on adjustment for maternal characteristics (β=0.62%; 95% CI 0.13% to 1.1%). Adjustment for unobserved parental characteristics shared by siblings further attenuates the 40+ coefficient (β=0.4%; 95% CI −0.5% to −1.2%). Results for preterm delivery are similar.ConclusionsThe results underscore the importance of considering paternal age as a potential risk factor for adverse birth outcomes and of expanding research on its role and the mechanisms linking it to birth outcomes.

Association of US state policy orientation with adverse birth outcomes: a longitudinal analysis

2021 ◽  
pp. jech-2020-214858
Author(s):  
Alicia R Riley ◽  
Daniel Collin ◽  
Jacob M Grumbach ◽  
Jacqueline M Torres ◽  
Rita Hamad
Keyword(s):  
Birth Weight ◽  
Preterm Birth ◽  
Low Birth Weight ◽  
Birth Outcomes ◽  
State Policy ◽  
Fixed Effects ◽  
State Policies ◽  
Adverse Birth Outcomes ◽  
Lower Odds ◽  
Policy Orientation

BackgroundThe current US context is marked by extreme right–left partisanship, which means that state policies tend to bundle together and are not experienced in isolation. While prior work has leveraged abrupt shifts in single policies to examine the effects of state policy on birth outcomes, we examined a holistic measure that captures political polarisation.MethodsData were drawn from national birth certificates for 2003–2017 (N=56 770 470). Outcomes included preterm birth, low birth weight, small-for-gestational age and other perinatal health measures. The primary exposure was a composite index of right–left state policy orientation, generated from historical data on 135 state policies. Multivariable regressions were used to estimate the association between state policy orientation and each outcome, adjusting for relevant covariates.ResultsCompared with infants born in states with right-leaning policy orientations, those born in left-leaning states had lower odds of adverse birth outcomes (eg, low birth weight: OR 0.95 (0.93, 0.97), preterm birth: OR 0.94 (0.92, 0.95)). Subgroup analyses revealed stronger associations for US-born and White mothers. With the inclusion of state fixed effects, left-leaning policy orientation was no longer associated with lower odds of adverse birth outcomes. Models were otherwise robust to alternative specifications.ConclusionWhile left-leaning state policy orientation has protective associations with a range of birth outcomes, the associations may be explained by stable characteristics of states, at least during the study period. Future studies should examine state policy orientation in association with other health outcomes and study periods.

scholarly journals Factors associated with low birth weight in Afghanistan: a cross-sectional analysis of the demographic and health survey 2015

BMJ Open ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. e025715 ◽  
Author(s):  
Rajat Das Gupta ◽  
Krystal Swasey ◽  
Vanessa Burrowes ◽  
Mohammad Rashidul Hashan ◽  
Gulam Muhammed Al Kibria
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Health Survey ◽  
Urban Areas ◽  
Maternal Education ◽  
Multivariable Analysis ◽  
Demographic And Health Survey ◽  
Secondary Outcome ◽  
Cross Sectional ◽  
Factors Associated

ObjectivesThis study aimed to investigate the factors associated with low birth weight (LBW) in Afghanistan.DesignCross-sectional study.SettingThis study used data collected from the Afghanistan Demographic and Health Survey 2015.ParticipantsFacility-based data from 2773 weighted live-born children enrolled by a two-stage sampling strategy were included in our analysis.Primary and secondary outcome measuresThe primary outcome was LBW, defined as birth weight <2.5kg.ResultsOut of 2773 newborns, 15.5% (n=431) had LBW. Most of these newborns were females (58.3%, n=251), had a mother with no formal schooling (70.5%, n=304), lived in urban areas (63.4%, n=274) or lived in the Central region of Afghanistan (59.7%, n=257). In multivariable analysis, residence in Central (adjusted OR (AOR): 3.4; 95% CI 1.7 to 6.7), Central Western (AOR: 3.0; 95% CI 1.5 to 5.8) and Southern Western (AOR: 4.0; 95% CI 1.7 to 9.1) regions had positive association with LBW. On the other hand, male children (AOR: 0.5; 95% CI 0.4 to 0.8), newborns with primary maternal education (AOR: 0.5; 95% CI 0.3 to 0.8), birth interval ≥48 months (AOR: 0.4; 95% CI 0.1 to 0.8), belonging to the richest wealth quintile (AOR: 0.2; 95% CI 0.1 to 0.6) and rural residence (AOR: 0.3; 95% CI 0.2 to 0.6) had decreased odds of LBW.ConclusionsMultiple factors had association with LBW in Afghanistan. Maternal, Neonatal and Child Health programmes should focus on enhancing maternal education and promoting birth spacing to prevent LBW. To reduce the overall burden of LBW, women of the poorest wealth quintiles, and residents of Central, Central Western and South Western regions should also be prioritised. Further exploration is needed to understand why urban areas are associated with higher likelihood of LBW. In addition, research using nationally representative samples are required.

scholarly journals DETERMINANTS OF NEONATAL MORTALITY BASED ON THE 2017 INDONESIAN DEMOGRAPHIC AND HEALTH SURVEY (IDHS)

2021 ◽  
Vol 16 (3) ◽  
pp. 363
Author(s):  
Fidya Rumiati ◽  
Asri C. Adisasmita
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Neonatal Mortality ◽  
Health Survey ◽  
Neonatal Period ◽  
Health Interventions ◽  
Demographic And Health Survey ◽  
Outcome Variable ◽  
Childbearing Age ◽  
Major Health Problem

ABSTRACTInfant mortality is still a major health problem in Indonesia as 63% of deaths occur in the neonatal period. The trend of the neonatal mortality rate in Indonesia has decreased from 15 (2017) to 13 deaths per 1,000 live births (2018), but this does not meet the Sustainable Development Goals (SDGs) target. Evidence-based health interventions are based on determinants that most influences neonatal mortality. The purpose of this study was to determine the most influential determinants of neonatal mortality in Indonesia. This research is an analytic observational study that uses the 2017 Indonesian Demographic and Health Survey (IDHS) data, with a cross-sectional design. This study’s population was the last baby of married women of childbearing age (15-49 years) and was recorded in the 2017 IDHS with a sample of 15,102 babies. The outcome variable in this study was neonatal mortality. The analysis was conducted in stages, namely univariate analysis, bivariate analysis using the chi-square statistical test (X2), and multivariate analysis using logistic regression. The results showed that 85.71% of deaths occurred in the early neonatal period. The most influential determinants of neonatal mortality were male sex (adj OR = 2.91: 95% CI 1.78-4.76), low birth weight (adj OR = 12.08: 95% CI 7.38-18.86) and parity status ≥ 4 (adj OR = 2.11: 95% CI 1.22-3.61). Public health interventions aimed at reducing neonatal mortality should be linked to newborn and maternal characteristics that significantly influence Indonesia's neonatal mortality. Therefore, health services must consider adequate postpartum neonatal care that is fully integrated with medical care. Moreover, further prevention of potential factors that cause low birth weight before conception should be implemented and further control of births would optimize the family planning program. Keywords: gender, low birth weight, parity status, determinant, neonatal mortality, Indonesia

scholarly journals Geospatial analysis of exposure to violent crime during pregnancy and adverse birth outcomes: Evidence from São Paulo’s Western Region Birth Cohort

2020 ◽  
Author(s):  
Angelica Carreira dos Santos ◽  
Alexandra Brentani ◽  
Günther Fink
Keyword(s):  
Socioeconomic Status ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Violent Crime ◽  
Birth Outcomes ◽  
Gestational Age ◽  
Violence Exposure ◽  
Western Region ◽  
Adverse Birth Outcomes ◽  
Violent Crimes

Abstract Background Low birth weight and prematurity remain leading causes of infant mortality and morbidity globally. Although an extensive literature has highlighted the importance of socioenvironmental characteristics for birth outcomes, the role of indirect violence on health remains fairly understudied. Methods Using geocoded birth records from the ongoing Western Region Birth Cohort ( Região Oeste Coorte – ROC-Cohort) of infants born between 2012-2014 and geocoded crime reports, we assessed the associations between exposure to violent crimes during pregnancy within a 1-km radius of mother’s residence and low birth weight, preterm delivery, and being born small-for-gestational-age. Violent crime exposure was categorized into quintiles. Multivariate logistic regressions were used to examine the associations between violence exposure and birth outcomes. Models were adjusted for sex, maternal age and education, socioeconomic status, and risk factors such as hypertension, diabetes, smoking, and drinking during pregnancy. ResultsAmong the 5,268 infants included, the average crime exposure during the first two trimesters of pregnancy ranged from 0.44 violent crimes in the least exposed quintile to 12.74 crimes in the most exposed. Compared to children with the lowest violence exposure, children in the highest exposure quintile were at higher odds of being born small-for-gestational-age (1.41[1.06-1.89]), preterm (1.35[1.01-1.80]), and low birth weight (1.42[1.03-1.98]). While socioeconomic status and maternal education were positively associated with lower violence exposure, no associations were found between these characteristics and the birth outcomes. Conclusions Higher exposure to external violent crimes in the close vicinity are associated with substantial increases in the odds of adverse birth outcomes. Policies to improve neighborhood safety can contribute not only to the short-term well-being of populations but may also have large social, economic, and health benefits in the long run.

scholarly journals The Association Between State-Level Racial Attitudes Assessed From Twitter Data and Adverse Birth Outcomes: Observational Study (Preprint)

2019 ◽  
Author(s):  
Thu T Nguyen ◽  
Nikki Adams ◽  
Dina Huang ◽  
M Maria Glymour ◽  
Amani M Allen ◽  
...  
Keyword(s):  
Machine Learning ◽  
Birth Weight ◽  
Ethnic Minorities ◽  
Birth Outcomes ◽  
Black People ◽  
State Level ◽  
Adverse Birth Outcomes ◽  
White People ◽  
Machine Learning Model ◽  
Hispanic White

BACKGROUND In the United States, racial disparities in birth outcomes persist and have been widening. Interpersonal and structural racism are leading explanations for the continuing racial disparities in birth outcomes, but research to confirm the role of racism and evaluate trends in the impact of racism on health outcomes has been hampered by the challenge of measuring racism. Most research on discrimination relies on self-reported experiences of discrimination, and few studies have examined racial attitudes and bias at the US national level. OBJECTIVE This study aimed to investigate the associations between state-level Twitter-derived sentiments related to racial or ethnic minorities and birth outcomes. METHODS We utilized Twitter’s Streaming application programming interface to collect 26,027,740 tweets from June 2015 to December 2017, containing at least one race-related term. Sentiment analysis was performed using support vector machine, a supervised machine learning model. We constructed overall indicators of sentiment toward minorities and sentiment toward race-specific groups. For each year, state-level Twitter-derived sentiment data were merged with birth data for that year. The study participants were women who had singleton births with no congenital abnormalities from 2015 to 2017 and for whom data were available on gestational age (n=9,988,030) or birth weight (n=9,985,402). The main outcomes were low birth weight (birth weight ≤2499 g) and preterm birth (gestational age &lt;37 weeks). We estimated the incidence ratios controlling for individual-level maternal characteristics (sociodemographics, prenatal care, and health behaviors) and state-level demographics, using log binomial regression models. RESULTS The accuracy for identifying negative sentiments on comparing the machine learning model to manually labeled tweets was 91%. Mothers living in states in the highest tertile for negative sentiment tweets referencing racial or ethnic minorities had greater incidences of low birth weight (8% greater, 95% CI 4%-13%) and preterm birth (8% greater, 95% CI 0%-14%) compared with mothers living in states in the lowest tertile. More negative tweets referencing minorities were associated with adverse birth outcomes in the total population, including non-Hispanic white people and racial or ethnic minorities. In stratified subgroup analyses, more negative tweets referencing specific racial or ethnic minority groups (black people, Middle Eastern people, and Muslims) were associated with poor birth outcomes for black people and minorities. CONCLUSIONS A negative social context related to race was associated with poor birth outcomes for racial or ethnic minorities, as well as non-Hispanic white people.

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