Association of Body Mass Index of HIV-1-Infected Pregnant Women and Infant Weight, Body Mass Index, Length, and Head Circumference: The NISDI Perinatal Study

Reported health, social support, stress and associations with choline intake in pregnant women in central South Africa: the NuEMI study 2018-2019

BACKGROUND

The health and well-being of pregnant women can influence pregnancy outcomes and are closely associated with social support and experiences of stress. Poor nutrition predisposes to poor health with choline intake affecting pregnancy outcome. This study determined reported health, social support, and stress and how these factors are associated with choline intake in pregnancy.

METHODS

A cross sectional study was performed. Pregnant women in their second and third trimesters attending a high-risk antenatal clinic at a regional hospital in Bloemfontein, South Africa, were included. Trained fieldworkers obtained information during structured interviews using standardised questionnaires. Logistic regression with backward selection (p < 0.05) was used to select significant independent factors associated with choline intake. Variables with a p-value < 0.15 in bivariate analysis were considered for inclusion in the model.

RESULTS

Median age and gestation in the sample (N = 682) were 31.8 years and 32.0 weeks, respectively. Most participants (84.7%) consumed less than the adequate intake (AI) of 450 mg of choline per day. Most participants (69.0%) were either overweight or obese. One in eight participants (12.6%) reported not having anyone that could help them in times of need, more than one third (36.0%) reported having unpayable debt and one in twelve (8.4%) reported experiencing physical abuse by their partners. Normotensive participants and those using anti-retroviral therapy (ART) (thus HIV-infected), were more likely to consume choline in amounts below the AI (p = 0.042 and p = 0.011, respectively). Logistic regression analysis showed that the odds of consuming choline in amounts below the AI were lower for participants that were not using ART versus those using ART, with an odds ratio of 0.53.

CONCLUSION

HIV-infected participants were more likely to consume choline in levels below the AI. This vulnerable group should be the focus of targeted efforts to improve choline intake.

Effects of Nutritional and Social Factors on Favorable Fetal Growth Conditions Using Structural Equation Modeling

Poor birth outcomes such as low birth weight, low birth length and short gestational age, are public health concern issues in South Africa (SA). This study utilized structural equation modeling (SEM) to explore how nutritional and social factors contribute to favorable fetal growth conditions (FFGC) in pregnant women living with and without human immunodeficiency virus (HIV), in the Free State Province of SA. Sociodemographic characteristics, stress, health and nutrition-related information, and birth outcomes data were collected and analyzed from a subsample of 305 women enrolled in a cohort study from 2018−2020. Descriptive statistics were analyzed in R version 4.1.2 and SEM was conducted in Lavaan version 0.6−5. Higher gestational body mass index (GBMI) and income levels were associated with higher FFGC (p < 0.05). Household incomes were positively associated with dietary micronutrient quality (p = 0.002), GBMI (p = 0.012) and food security (p = 0.001). Low incomes (p = 0.004) and food insecurity (p < 0.001) were associated with higher stress, while social support was positively associated with food security status (p = 0.008). These findings highlight the complex interconnections between the social and nutritional factors that are associated with fetal growth conditions. Multisectoral community-based programs may be a useful strategy to address these challenges.

Does HIV infection modify the relationship between pre-pregnancy body mass index and adverse birth outcomes?

BACKGROUND

South Africa faces dual epidemics of HIV and obesity; however, little research has explored whether HIV status influences associations between pre-pregnancy body mass index (BMI) and adverse birth outcomes.

OBJECTIVES

To examine associations between pre-pregnancy body mass index (BMI) and adverse birth outcomes, and if they differ by HIV status.

METHODS

We followed HIV-uninfected and -infected pregnant women initiating antiretroviral therapy (ART) from first antenatal visit through delivery. HIV-infected women initiated ART (tenofovir-emtricitabine/lamivudine-efavirenz) in pregnancy. Estimated pre-pregnancy BMI (kg/m2 ) was categorised as underweight (<18.5), normal (18.5-24.9), overweight (25.0-29.9), and obese (≥30.0). We used modified Poisson regression to estimate risk ratios (RR) for associations between pre-pregnancy BMI and adverse birth outcomes and explored modification by HIV status.

RESULTS

Among 1116 women (53% HIV-infected), 44% of HIV-uninfected women and 36% of HIV-infected women were classified as obese; 4% of women were underweight. Overall, 12% of infants were delivered preterm (<37 weeks), 10% small for gestational age (SGA, <10th percentile), and 9% large for gestational age (LGA, >90th percentile). Compared to HIV-uninfected women, HIV-infected women on ART had less LGA (5% vs 13%) but more SGA (12% vs 8%), and a similar proportion of preterm (13% vs 11%) infants. Pre-pregnancy BMI was not associated with preterm birth. Among HIV-uninfected women, obesity modestly increased the risk of LGA (RR 1.34, 95% confidence interval [CI] 0.82, 2.19), and underweight modestly elevated the risk of SGA (RR 1.66, 95% CI 0.79, 3.46). These associations were attenuated among HIV-infected women (RR 1.07, 95% CI 0.44, 2.64 for LGA, and RR 1.34, 95% CI 0.49, 3.64 for SGA).

CONCLUSIONS

In this urban African setting of high HIV prevalence, pre-pregnancy obesity was common and did not vary by HIV status. In HIV-uninfected women, obesity increased the risk of LGA and being underweight the risk of SGA, compared with among HIV-uninfected women.

Maternal obesity in Africa: a systematic review and meta-analysis

Background

Maternal obesity is emerging as a public health problem, recently highlighted together with maternal under-nutrition as a ‘double burden’, especially in African countries undergoing social and economic transition. This systematic review was conducted to investigate the current evidence on maternal obesity in Africa.

Methods

MEDLINE, EMBASE, Scopus, CINAHL and PsycINFO were searched (up to August 2014) and identified 29 studies. Prevalence, associations with socio-demographic factors, labour, child and maternal consequences of maternal obesity were assessed. Pooled risk ratios comparing obese and non-obese groups were calculated.

Results

Prevalence of maternal obesity across Africa ranged from 6.5 to 50.7%, with older and multiparous mothers more likely to be obese. Obese mothers had increased risks of adverse labour, child and maternal outcomes. However, non-obese mothers were more likely to have low-birthweight babies. The differences in measurement and timing of assessment of maternal obesity were found across studies. No studies were identified either on the knowledge or attitudes of pregnant women towards maternal obesity; or on interventions for obese pregnant women.

Conclusions

These results show that Africa's levels of maternal obesity are already having significant adverse effects. Culturally adaptable/sensitive interventions should be developed while monitoring to avoid undesired side effects.

An investigation into the influence of socioeconomic variables on gestational body mass index in pregnant women living in a peri-urban settlement, South Africa

Maternal and child mortality rates are still unacceptably high in South Africa. The health status of women in peri-urban areas has been influenced by political and socio-economic factors. Examining socio-economic variables (SEV) in a population aids in the explanation of the impact of social structures on an individual. Risk factors can then be established and pregnant women in these higher risk groups can be identified and given additional support during pregnancy. The aim of this study was to investigate the association between SEV and gestational Body Mass Index (GBMI) in a peri-urban settlement, South Africa. This was a sub-study of the Philani Mentor Mothers' Study (2009-2010). Maternal anthropometry and SEV were obtained from 1,145 participants. Multinomial regression was used to analyse the data. Household income was the only SEV that was significantly associated with GBMI. The odds of being underweight rather than normal weight during pregnancy increase by a factor of 2.145 (P < 0.05) for those who had a household income lower than R2000 per month. All other SEV were not significant. Logistic regression was therefore not carried out. Women who had a lower income were at risk of having a lower GBMI during pregnancy. This can lead to adverse birth outcomes such as premature birth, low birth weight, height and head circumference. Public health policy needs to be developed to include optimal nutrition health promotion strategies targeting women with a low income ante and post-natally. Once implemented, they need to be evaluated to assess the impact on maternal and child mortality.

An investigation into utilising gestational body mass index as a screening tool for adverse birth outcomes and maternal morbidities in a group of pregnant women in Khayelitsha

OBJECTIVE

The aim of this study was to investigate the ability of the gestational body mass index (BMI) method to screen for adverse birth outcomes and maternal morbidities.

DESIGN

This was a substudy of a randomised controlled trial, the Philani Mentor Mothers' study.

SETTING AND SUBJECTS

The Philani Mentor Mothers' study took place in a peri-urban settlement, Khayelitsha, between 2009 and 2010. Pregnant women living in the area in 2009-2010 were recruited for the study.

OUTCOME MEASURES

Maternal anthropometry (height and weight) and gestational weeks were obtained at baseline to calculate the gestational BMI, which is maternal BMI adjusted for gestational age. Participants were classified into four gestational BMI categories: underweight, normal, overweight and obese. Birth outcomes and maternal morbidities were obtained from clinic cards after the births.

RESULTS

Pregnant women were recruited into the study (n = 1 058). Significant differences were found between the different gestational BMI categories and the following birth outcomes: maternal (p-value = 0.019), infant hospital stay (p-value = 0.03), infants staying for over 24 hours in hospital (p-value = 0.001), delivery mode (p-value = 0.001), birthweight (p-value = 0.006), birth length (p-value = 0.007), birth head circumference (p-value = 0.007) and pregnancy-induced hypertension (p-value = 0.001).

CONCLUSION

To the best of our knowledge, this is the first study that has used the gestational BMI method in a peri-urban South African pregnant population. Based on the findings that this method is able to identify unfavourable birth outcomes, it is recommended that it is implemented as a pilot study in selected rural, peri-urban and urban primary health clinics, and that its ease and effectiveness as a screening tool is evaluated. Appropriate medical and nutritional advice can then be given to pregnant women to improve both their own and their infants' birth-related outcomes and maternal morbidities.