Study of sociodemographic determinants of low birth weight in Wardha district, India

Taywade, Manish; Pisudde, Pravin

doi:10.1016/j.cegh.2016.07.001

Cited by 18 publications

(19 citation statements)

References 24 publications

(32 reference statements)

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“…3 ). These findings corroborate those of many other studies investigating the factors associated with TLBW, highlighting the importance of socioeconomic conditions, especially with regard to mothers or their family’s educational level [ 10 , 13 , 14 , 17 , 18 ]. A mother’s level of schooling affects her use of health care services, as women with higher socioeconomic status often attend more prenatal visits, have better knowledge regarding nutrition [ 43 ] and generally understand and observe health professionals’ recommendations during pregnancy [ 44 ].…”

Section: Discussionsupporting

confidence: 90%

“…2) was employed to introduce, in subsequent adjusted . Domiciliary conditions were considered as "adequate" when all variables were adequate; as "intermediate" when one or two variables were inadequate; and as "inadequate" when at least half (three or more) of the variables were considered inadequate models, the variables contained in the datasets, considering covariates deemed relevant and plausible in the literature [7,[9][10][11][12][13][14][15][16][17][18]. The TLBW variables were grouped into three blocks representing distal, intermediate and proximal determinants, i.e.…”

Section: Discussionmentioning

confidence: 99%

“…prenatal care [10,11,14]; iv. socioeconomic aspects [10,[12][13][14][16][17][18]. Studies in low-and middle-income countries indicate that socioeconomic factors, including education, income, an urban/rural living environment, region of residence and domiciliary conditions, as well as access to prenatal care, are also important determinants of pregnancy and birth weight outcomes [4,[10][11][12][13][14][16][17][18][19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

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Factors associated with low birth weight at term: a population-based linkage study of the 100 million Brazilian cohort

Falcão

Silva

Almeida

et al. 2020

BMC Pregnancy Childbirth

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Background Factors associated with low birth weight at term (TLBW), a proxy for intrauterine growth restriction (IUGR), are not well-elucidated in socioeconomically vulnerable populations. This study aimed to identify the factors associated with TLBW in impoverished Brazilian women. Methods Records in the 100 Million Brazilian Cohort database were linked to those in the National System of Information on Live Births (SINASC) to obtain obstetric, maternal, birth and socioeconomic data between 2001 and 2015. Multivariate logistic regression was performed to investigate associations between variables of exposure and TLBW. Results Of 8,768,930 term live births analyzed, 3.7% presented TLBW. The highest odds of TLBW were associated with female newborns (OR: 1.49; 95% CI: 1.47–1.50), whose mothers were black (OR: 1.20; 95% CI: 1.18–1.22), had a low educational level (OR: 1.57; 95% CI: 1.53–1.62), were aged ≥35 years (OR: 1.44; 95% CI: 1.43–1.46), had a low number of prenatal care visits (OR: 2.48; 95% CI: 2.42–2.54) and were primiparous (OR: 1.62; 95% CI: 1.60–1.64). Lower odds of TLBW were found among infants whose mothers lived in the North, Northeast and Center-West regions of Brazil compared to those in the South. Conclusion Multiple aspects were associated with TLBW, highlighting the need to comprehensively examine the mechanisms underlying these factors, especially in more vulnerable Brazilian populations, in order to contribute to the elaboration of health policies and promote better conditions of life for poor and extremely poor mothers and children.

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Section: Discussionsupporting

confidence: 90%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Factors associated with low birth weight at term: a population-based linkage study of the 100 million Brazilian cohort

Falcão

Silva

Almeida

et al. 2020

BMC Pregnancy Childbirth

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“…Although socioeconomic status is a confounding variable for many of the variables, it could not be included in the current analysis. There are other indicators such as maternal nutritional status, gestational weight gain, antenatal visits, consumption of iron and folic acid, sanitation, consanguineous marriages which are likely to influence birth outcomes [29,30,53] which have not been taken into consideration. As HDSS follows up a selected population biannually, data on these indicators could not be included.…”

Section: Discussionmentioning

confidence: 99%

Demographic surveillance over 12 years helps elicit determinants of low birth weights in India

et al. 2019

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Background Low birth weight is an important predictor of maternal and child health. Birth weight is likely to be affected by maternal health, socioeconomic status and quality of health care facilities. Objective To assess trends in the birth weight, the proportion of low birth weight, maternal factors and health care facilities for delivery in villages of Western Maharashtra from the year 2004 to 2016 and to analyze factors associated with low birth weight for total birth data of 2004–2016. Methods Data collected for 19244 births from 22 villages in Vadu Health and Demographic Surveillance System (HDSS), Pune, Maharashtra, India from the year 2004 to 2016 were used for this analysis. Results There was an overall increase in the annual mean birth weight from 2640.12 gram [95% CI 2602.21–2686.84] in the year 2004 to 2781.19 gram [95% CI 2749.49–2797.95] in the year 2016. There was no secular trend to show increase or decrease in the proportion of low weight at birth. Increasing maternal age (>18 years) compounded with better education, reduced parity and increasing number of institutional deliveries were significant trends observed during the past decade. Low birth weight was found to be associated with female gender, first birth order, poor maternal education and occupation as cultivation. Conclusion Changes in maternal age, education, occupation, and increased institutionalized deliveries contributed in to increasing birth weights in rural Maharashtra. Female gender, first birth order, poor maternal education and occupation of cultivation are associated with increased risk of low birth weight.

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“…Early pregnancy (<18 years) and poverty are the main contributors to LBW. The study has found a high prevalence of short birth interval (<3 years) which is associated with U5M 15,23,24 . Also, the quite higher proportion of subjects living below the poverty line (29%) were observed in the present study as compared to the previously reported (13%) in the Iranian rural community 17 .…”

Section: Discussionmentioning

confidence: 86%

Temporal and spatial distribution of under-five mortality and factors associated with multiple cases of under-five deaths within a family in the rural area of Khuzestan, Southern Iran

Anafcheh

Doust

Mirkazemi³

et al. 2018

Sci Rep

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Under-five mortality (U5M) is an important indicator of the overall health and development of society. There is a wide gap in U5M among different countries and also within the countries. This study was carried out to assess the prevalence, as well as the socio-demographic, and health-related causes of U5M in the region of study. A cross-sectional study was conducted among all registered cases of U5M in rural areas of Khuzestan province, Iran, during the years 2011 to 2015. To assess the socio-demographic determinants of U5M, the sample surveyed consists of 320 families with at least one under-five death using a multistage random sampling method. Also, this study evaluated the number of variables, which may increase the chance of families to have more than one U5M. U5M was 26 per 1000 live births in 2011, but decreased to 22 per 1000 live births in 2015. With the highest cumulative incidence of 43 in Masjed Soleyman and the lowest of 15 in Dehdez, infant mortality constitutes 76% of all U5M. Prematurity and congenital anomalies were responsible for 46% of all causes of mortality (that is, U5). Maternal age at delivery <18 years or >35 years (OR = 3.5; 95% CI, 1.29–6.22), marriage duration >9 years (1.85, 1.06–3.21), spouse age gap >5 years (2.32, 1.20–4.50), cesarean section (3.85, 1.19–5.74), delivery interval <3 years (2.83, 1.22–5.58), non-Arab ethnicity (2.58, 1.50–4.44), and mother working in agriculture or animal husbandry (3.93, 1.41–6.94) were the most important determinants associated with more than one child death per family. Spatially, there was a great disparity in U5M with different reduction rate during the 5 years of the study. Marriage age, cesarean delivery, delivery interval, and mother field activity were associated with U5M. This may have implications for the preventive health program.

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Study of sociodemographic determinants of low birth weight in Wardha district, India

Abstract: c l i n i c a l e p i d e m i o l o g y a n d g l o b a l h e a l t h 5 (2 0 1 7) 1 4-2 0 a r t i c l e i n f o Article history:

Cited by 18 publications

References 24 publications

Factors associated with low birth weight at term: a population-based linkage study of the 100 million Brazilian cohort

Factors associated with low birth weight at term: a population-based linkage study of the 100 million Brazilian cohort

Demographic surveillance over 12 years helps elicit determinants of low birth weights in India

Temporal and spatial distribution of under-five mortality and factors associated with multiple cases of under-five deaths within a family in the rural area of Khuzestan, Southern Iran

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