Birth outcomes and risk factors in adolescent pregnancies: Results of a Taiwanese national survey

Lin

BMC Pregnancy Childbirth

et al. 2014

BackgroundLimited information is available concerning investigating the separate effect of teenage childbirth on medical issues in the antenatal and perinatal periods. Therefore, this study aimed to assess medical problems in antenatal and perinatal periods among early youth, adolescent and young adult mothers in Taiwan.MethodsThis retrospective population-based cohort study was conducted by using data from Taiwan’s National Health Insurance Research Database. A total of 335,590 mothers aged less than 25 years who had singleton births were identified between 2002 and 2011. Univariate and multivariate logistic regression analyses were conducted to estimate unadjusted and adjusted odds ratios (OR) and 95% confidence intervals (CI) of each medical problem category in the antenatal and perinatal periods.ResultsCompared with mothers aged 20–24 years, adolescents (16–19 years) and early youth mothers (≤15 years), particularly those aged 10–15, had a significantly higher risk of intrauterine growth retardation (IUGR, OR = 1.37, 95% CI: 1.00–1.89) and preterm delivery (OR = 2.98, 95% CI: 2.48–3.58) after adjusting for demographic characteristics and clinical factors. Additionally, adolescents mothers were at an increased risk of anemia (OR = 1.32, 95% CI: 1.24–1.40), oligohydramnios (OR = 1.21, 95% CI: 1.12–1.32), failed labor induction (OR = 1.33, 95% CI: 1.24–1.43), and fetal distress (OR = 1.20, 95% CI: 1.14–1.26) after adjustment.ConclusionsNot all young mothers in our study experienced the same magnitude of increased medical problems in the antenatal and perinatal periods. However, a sufficiently higher probability of having IUGR and preterm delivery was observed among early youth and adolescent mothers.

Section: Discussionsupporting

confidence: 89%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Comparison of medical issues in antenatal and perinatal periods in early youth, adolescent, and young adult mothers in Taiwan: a 10-year nationwide study

Lin

BMC Pregnancy Childbirth

et al. 2014

Iran Red Crescent Med J

“…This was in line with results of many other studies conducted across the world (20, 21). Low birth weight is caused by different factors such as mother's disease before pregnancy, pregnancy complications, mother's lifestyle, (20) mother’s age, prenatal care, mother's weight gain during pregnancy (22), and other variables, which can be determined and controlled to reduce infant mortality. Paying attention to these factors especially in the low socioeconomic groups, who may have less access to healthcare services, must be set as a top health priority.…”

Section: Discussionmentioning

confidence: 99%

Socioeconomic Inequality and Its Determinants Regarding Infant Mortality in Iran

Damghanian¹,

Shariati²,

Mirzaiinajmabadi³

et al. 2014

Background:Infant mortality rate is a useful indicator of health conditions in the society, the racial and socioeconomic inequality of which is from the most important measures of social inequality.Objectives:The aim of this study was to determine the socioeconomic inequality and its determinants regarding infant mortality in an Iranian population.Patients and Methods:This cross-sectional study was performed on 3794 children born during 2010-2011 in Shahroud, Iran. Based on children’s addresses and phone numbers, 3412 were available and finally 3297 participated in the study. A data collection form was filled out through interviewing the mothers as well as using health records. Using principal component analysis, the study population was divided to high and low socioeconomic groups based on the case’s home asset, education and job of the household’s head, marital status, and composition of the household members. Inequality between the groups with regard to infant mortality was investigated by Blinder-Oaxaca decomposition method.Results:The mortality rate was 15.1 per 1000 live births in the high socioeconomic group and 42.3 per 1000 in the low socioeconomic group. Mother's education, consanguinity of parents, and infant's nutrition type and birth weight constituted 44% of the gap contributing factors. Child's gender, high-risk pregnancy, and living area had no impact on the gap.Conclusions:There was considerable socioeconomic inequality regarding infant mortality in Shahroud. Mother's education was the most contributing factor in this inequality.

“…LBW is related not only to basic maternal characteristics during pre-pregnancy, but also to potential risk factors during pregnancy, including maternal age, educational attainment, lifestyle, health status, and diseases (5), of which maternal age, educational attainment, and marital status are more closely associated with LBW. In addition, most current studies of LBW risk factors have focused on environmental, psychosocial, behavioral, and medical factors (7)(8)(9). Many medical factors and basic diseases are also reported to be related to LBW, including diabetes, preeclampsia, and oligohydramnios (10).…”

Section: Introductionmentioning

confidence: 99%

Maternal Risk Factors Associated with Low Birth Weight

Momenabadi

Kaveh

Mousavi³

et al. 2017

Iran J Health Sci

Background and purpose:Since a large proportion of fetal mortality is associated with low birth weight (LBW) and considering the fact that fetal development is a vulnerable process influenced by maternal risk factors, this study examined some maternal risk factors associated with LBW infants. Materials and Methods:This cross-sectional study was conducted based on the medical records of 250 infants born in Zeynabeieh Hospital. The required data were registered in a pre-developed checklist. Then, the collected data were analyzed by Chi-square in SPSS Software using descriptive and inferential statistics. Results: The mean weight of the sample was 3.2 ± 0.25 (1.5-4.7) kg. About 18% of the infants had birth weight of 2500 g or less. The most frequent educational level among the mothers was illiteracy and elementary education (60%), and the least was secondary education (9.2%). There was found a significant correlation between the mothers' education and low birth weight (P < 0.001). Regarding the association between the mothers' age and low birth weight, 18-to 35-year-old mothers comprised the highest number of mothers (75%), and upper 35-year-old mothers did the lowest (11.2%). Based on chi-square test, a significant correlation was observed between the mothers' ages and low birth weight (p<0.001). In addition, concerning the occupation of mother and low birth weight, there was documented a significant correlation between their occupation and low birth weight (P < 0.001). Conclusion: Maternal biosocial, medical, and obstetric factors have strong association with LBW. To overcome this problem, special attention is required so as to strengthen the mother and child healthcare services in the community.