The relationship between preterm birth and underweight in Asian women

Preterm pigs for preterm birth research: reasonably feasible

Preterm birth will disrupt the pattern and course of organ development, which may result in morbidity and mortality of newborn infants. Large animal models are crucial resources for developing novel, credible, and effective treatments for preterm infants. This review summarizes the classification, definition, and prevalence of preterm birth, and analyzes the relationship between the predicted animal days and one human year in the most widely used animal models (mice, rats, rabbits, sheep, and pigs) for preterm birth studies. After that, the physiological characteristics of preterm pig models at different gestational ages are described in more detail, including birth weight, body temperature, brain development, cardiovascular system development, respiratory, digestive, and immune system development, kidney development, and blood constituents. Studies on postnatal development and adaptation of preterm pig models of different gestational ages will help to determine the physiological basis for survival and development of very preterm, middle preterm, and late preterm newborns, and will also aid in the study and accurate optimization of feeding conditions, diet- or drug-related interventions for preterm neonates. Finally, this review summarizes several accepted pediatric applications of preterm pig models in nutritional fortification, necrotizing enterocolitis, neonatal encephalopathy and hypothermia intervention, mechanical ventilation, and oxygen therapy for preterm infants.

Prevalence of preconception risk factors for adverse pregnancy outcome among women from tribal and non-tribal blocks in Nashik district, India: a cross-sectional study

BACKGROUND

Although critical, the preconception phase in women's lives is comparatively ignored. The presence of some risk factors during this phase adversely affects the wellbeing of the woman and the pregnancy outcome. The study objectives were to measure the prevalence of various known risk factors for adverse pregnancy outcome in the preconception period of women and their comparison between blocks.

METHODS

This was a community-based cross-sectional study in two tribal and two non-tribal blocks each in Nasik district, Maharashtra, India. The study included married women desiring to conceive within 1 year. Trained Accredited Social Health Activists (field level health worker) collected information from women using a validated interview schedule through house-to-house visits and obtained women's anthropometric measurements in a standard manner. The study assessed the presence of 12 documented risk factors.

RESULTS

The study enlisted 7875 women desiring pregnancy soon. The mean age of women was 23.19 (± 3.71) years, and 16% of them were adolescents. Women's illiteracy was higher in tribal areas than non-tribal (p < 0.001). About two-thirds of women have at least one risk factor, and 40.0% have a single risk factor. The most common risk factor observed was no formal education (44.35%). The prevalence of selected risk factors was significantly higher among women from tribal areas. The mean BMI of women was 19.73 (± 3.51), and a higher proportion (40.5%) of women from tribal areas had BMI < 18.5. Despite being of high parity status (≥ 4), about 7.7% of women from the tribal area and 3% from non-tribal desired pregnancy. Tobacco and alcohol consumption was higher among tribal women. The majority of women consumed meals with family members or husbands. Protein and calorie intake of about 1.4% of women was less than 50% of the recommended daily allowance; however, most of them perceived to have abundant food.

CONCLUSIONS

Health risks, namely younger age, illiteracy, high parity, consumption of tobacco, low protein, and calorie intake, were quite prevalent, and the risks were significantly more among women from tribal areas. "Continuum of care" must comprise preconception care inclusive of Behavioral Change Communication, particularly for easily modifiable risk factors and specially for tribal women.

Association of pre-pregnancy body mass index and gestational weight gain with neonatal anogenital distance in a Chinese birth cohort

Background

This study aimed to investigate the associations of pre-pregnancy body mass index (BMI) and gestational weight gain (GWG) with anogenital distance (AGD) among newborns.

Methods

The study included 556 mother-newborn pairs from the Jiashan birth cohort. AGD was measured as AGD_AP (from the center of the anus to the anterior base of the penis, where the penile tissue meets the pubic bone) and AGD_AS (from the center of the anus to the posterior base of the scrotum, where the skin changes from rugate to smooth) in males and AGD_AC (from the center of the anus to the clitoris) and AGD_AF (from the center of the anus to the posterior convergence of the fourchette) in females. Multiple linear regression models were used to estimate the associations of pre-pregnancy BMI and GWG, with AGD.

Results

After adjusting for pre-pregnancy BMI and other potential confounders, male newborns whose mothers had excessive GWG had shorter AGD_AP than those whose mothers had normal GWG. Male newborns whose mothers had normal pre-pregnancy BMI and inadequate/excessive GWG had shorter AGD_AP than the reference group where mothers had normal pre-pregnancy BMI and GWG in stratified analyses.

Conclusion

Gestational weight gain during pregnancy was associated with AGD in newborns in this birth cohort.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12978-022-01458-y.

In China, the prevalence of underweight and overweight/obesity remained high among women. Appropriate pre-pregnancy body mass index (BMI) and gestation weight gain (GWG) were critical to reduce the risk of adverse birth outcomes. The anogenital distance (AGD) was measured as an indicator of neonatal reproductive function and was associated with adverse reproductive outcomes in adults. Thus, we investigated the associations of both sub-optimal pre-pregnancy BMI, as well as GWG, with AGD among newborns to draw a picture about their effect on offspring reproductive health.

A total of 556 mother-newborns were included in the study from the Jiashan birth cohort in China. We extracted information about maternal lifestyles, social demographic characteristics, diet, and medical history from questionnaires conducted during 8–16 gestational weeks and medical records. AGD among newborns was measured within 3 days of delivery.

We found that maternal excessive GWG was associated with shorter AGD in male newborns after adjusting for maternal pre-pregnancy BMI in multiple linear regression models. The study also suggested that maternal inadequate GWG was associated with a shorter AGD in male newborns, which needed to be corroborated in further studies with a larger sample size.

In conclusion, health professionals shall implement sufficient intervention to prevent suboptimal GWG during prenatal checkups.

Hypomineralized Primary Teeth in Preterm Low Birth Weight Children and Its Association with Molar Incisor Hypomineralization—A 3-Year-Prospective Study

The present prospective study was conducted to assess the prevalence of enamel hypomineralization (EH) in primary dentition among preterm low birth weight (PT-LBW) children, incidence of molar incisor hypomineralization (MIH) in the same cohorts, and to determine associations between PT-LBW, hypomineralization in primary second molars, and MIH. A total of 287 PTLBW study subjects and 290 control full-term normal birth weight subjects were followed up for 36 months. Enamel defects were recorded at baseline. The same cohorts were examined after 3 years for MIH using the European Academy of Paediatric Dentistry (EAPD) criteria. Multiple variable logistic regression models were developed. A total of 279 children (48.4%) presented with EH in primary dentition and 207 (35.9%) children presented with MIH. Children with primary second molar hypomineralization had 2.13 (R² = 0.19, 95% CI = 0.98–4.19, p = 0.005) times higher frequency of MIH. Children with PT-LBW had 3.02 times (R² = 0.31, 95% CI = 1.01–5.94, p = 0.005) higher frequency of MIH incidence after adjusting for childhood infection, prenatal history, and presence of hypomineralized primary second molars. To conclude, the present study showed significant association between PT-LBW, hypomineralized second primary molars, and incidence of MIH.

Maternal pre-pregnancy body mass index and the risk for gestational diabetes mellitus in women with twin pregnancy in South Korea

OBJECTIVE

To investigate the association between maternal pre-pregnancy body mass index (BMI) and the risk for gestational diabetes mellitus (GDM) in women with twin pregnancy in South Korea.

MATERIALS AND METHODS

We performed a single-center, retrospective cohort study involving 1028 women with twin pregnancy from January 2006 to December 2018 in South Korea. Pregnancies with monoamnionic twins, twin-twin transfusion syndrome, fetal death in utero before 24 weeks, pre-gestational diabetes mellitus, and unknown BMI or GDM status were excluded. Subjects were grouped into four groups based on pre-pregnancy BMI: underweight (<18.5 kg/m²), normal (18.5-22.9 kg/m²), overweight (23.0-24.9 kg/m²), and obese (≥25.0 kg/m²).

RESULTS

Among 1028 women who were included in the analysis, 169 (16.4%), 655 (63.7%), 111 (10.8%), and 93 (9.0%) women were underweight, normal, overweight, and obese, respectively, before pregnancy. The incidence of GDM was 8.9% in the total study population: 4.7%, 8.2%, 11.7%, and 17.2% in the underweight, normal, overweight, and obese group, respectively (p = 0.005). The incidence of GDM significantly increased according to the increase in pre-pregnancy BMI (p < 0.001). Women in the obese group were more likely to be affected by GDM compared to the normal group (adjusted odds ratio = 2.20, 95% confidence interval = 1.19-4.08) after controlling for maternal age, parity, type of conception, and chorionicity.

CONCLUSION

In twin pregnancies in South Korea, the risk of GDM increased as maternal pre-pregnancy BMI increased and obese women before pregnancy were more likely to be affected by GDM.

Nutritional-Related Predictors of Preterm Birth in North Shewa Hospitals, Central Ethiopia: A Case-Control Study

Background

Preterm birth (PTB) is the leading cause of newborn death and the second cause of mortality among under-five children. Globally, about 15 million infants are born preterm every year. However, there is a lack of data on the nutritional-related predictors of preterm birth among Ethiopian women. The objective of the study was to identify nutritional-related predictors of preterm birth among women who gave birth at North Shewa public Hospitals in central Ethiopia.

Methods

A case–control study was undertaken in public hospitals in the North Shewa zone, central Ethiopia. Interviewer-administered questionnaire was used to gather data, which was then entered into EPI INFO version 7 and then exported to SPSS version 23 for analysis. Data were presented using texts, tables, and proportions. To find predictors of preterm birth, researcher used binary and multiple logistic regression models. The presence of a relationship between PTB and predictor factors was determined using the adjusted odds ratio (AOR), 95% confidence interval (CI), and p-value <0.05.

Results

A total of 161 cases and 322 controls participated in the study making a response rate of 97.6%. Unable to get iron folic acid (IFA) (AOR=2.26, 95% CI: 1.22, 4.18), not eating additional meals (AOR=2.63, 95% CI: 1.1, 4.62), restriction of foods (AOR=2.85, 95% CI: 1.58, 5.12), not taking dark green leafy vegetables (DGLV), (AOR=4.46, 95% CI: 1.72, 11.61), and mid upper arm circumference of mother (MUAC) <23 centimeters (AOR=3.7, 95% CI: 2.25, 6.11) had statistically significant association with premature birth.

Conclusion

IFA supplementation, additional meals, food taboo, frequency of DGLV, and MUAC were identified predictors of preterm birth. Encouraging such women to eat additional meals, varieties of diets like vegetables, and fruits during pregnancy, and adhering to culturally appropriate nutrition education to reverse food taboo is compulsory.

To be thin but not healthy - The body-image dilemma may affect health among female university students in China

An increasing number of young girls have attached great importance to their body-image in China. Body-image dissatisfaction has resulted in increased weight loss behavior. The aim of this study was to investigate the factors that were associated with underweight body-image in female college students. Self-administered questionnaires were completed by 2,023 young female participants from eight Chinese universities. In addition, 160 participants were involved in a qualitative study. The ideal body-image and the factors that influence weight were determined using descriptive and analytical statistics. We found that 1,484 out of 2,023 participants (73.36%) had taken action to lose weight in the past six months. Among these participants, 618 (30.55%, out of 2023) participants were already underweight, and 1,161 (57.39%, out of 2023) would like to be much thinner, which would lead to more underweight individuals. Moreover, non-scientific physical activity and diets were found to lead participants to the underweight subgroup. The participants’ Body Mass Index (BMI), peer advice and western culture influenced the problematic thin-ideal (ideal BMI < 18.5 was considered as the problematic thin-ideal) (P<0.05). Together, western influences leading to the “problematic thin-ideal” and “unhealthy weight-control behavior” have brought about an increased prevalence of desired underweight body-image among female college students in China, which might be harmful for their health.

Effect of maternal pre-pregnancy underweight and average gestational weight gain on physical growth and intellectual development of early school-aged children

The aim of this study was to assess the effect of low maternal weight at pre-pregnancy and the average gestational weight gain on undernourished children and their intellectual development. From October 2012 to September 2013, we followed 1744 offspring of women who participated in a trial conducted from 2002 to 2006. Pregnant women recruited in the original trial could receive three prenatal health checks for free, at which maternal weight and height were measured. WISC-IV was used to estimate the intellectual development of children. Weight and height of both pregnant women and children were measured by trained anthropometrists using standard procedures. Having low maternal weight at pre-pregnancy was associated with an increased risk of undernutrition amongst children (underweight: OR = 2.02, 95%CI: 1.14-3.56, thinness: OR = 2.79, 95%CI: 1.50-5.17) and a decrease in verbal comprehension index (-2.70 points, 95%CI: -4.95-0.44) of children. The effect of average gestational weight gain on occurrences of underweight children (OR = 0.08, 95%CI: 0.01-0.55) was also found. We identified the effect of maternal pre-pregnancy underweight on impairment of the separate intellectual domains (verbal comprehension index) and increasing occurrence of undernourished children. Average gestational weight gain was positively associated with a decreased prevalence of underweight children but not with the intellectual development of children in rural China.

Feature Extraction and Classification of EHG between Pregnancy and Labour Group Using Hilbert-Huang Transform and Extreme Learning Machine

Preterm birth (PTB) is the leading cause of perinatal mortality and long-term morbidity, which results in significant health and economic problems. The early detection of PTB has great significance for its prevention. The electrohysterogram (EHG) related to uterine contraction is a noninvasive, real-time, and automatic novel technology which can be used to detect, diagnose, or predict PTB. This paper presents a method for feature extraction and classification of EHG between pregnancy and labour group, based on Hilbert-Huang transform (HHT) and extreme learning machine (ELM). For each sample, each channel was decomposed into a set of intrinsic mode functions (IMFs) using empirical mode decomposition (EMD). Then, the Hilbert transform was applied to IMF to obtain analytic function. The maximum amplitude of analytic function was extracted as feature. The identification model was constructed based on ELM. Experimental results reveal that the best classification performance of the proposed method can reach an accuracy of 88.00%, a sensitivity of 91.30%, and a specificity of 85.19%. The area under receiver operating characteristic (ROC) curve is 0.88. Finally, experimental results indicate that the method developed in this work could be effective in the classification of EHG between pregnancy and labour group.