Postpartum obesity and weight gain among human immunodeficiency virus-infected and human immunodeficiency virus-uninfected women in South Africa

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Study Justification:
– The study aims to investigate the dual burden of HIV and obesity in postpartum women in South Africa, where both conditions are prevalent.
– Understanding the impact of HIV and obesity on maternal and child health outcomes is crucial for public health interventions.
– The study provides valuable insights into the association between sociodemographic, clinical, behavioral, and HIV factors with postpartum obesity.
Study Highlights:
– The study included HIV-infected and HIV-uninfected pregnant women in Cape Town, South Africa.
– At enrollment, 43% of HIV-infected women and 51% of HIV-uninfected women were obese.
– By 12 months postpartum, 51% of women were obese.
– Both HIV-infected and HIV-uninfected women gained weight between 6 weeks and 12 months postpartum, with HIV-uninfected women gaining more weight.
– Pre-pregnancy obesity was associated with postpartum weight gain.
– Factors independently associated with being obese at 12 months postpartum included HIV infection, marital status, gravidity, and high blood pressure.
Recommendations for Lay Reader and Policy Maker:
– Public health interventions should address the growing concern of obesity during pregnancy in low- and middle-income countries like South Africa.
– Additional research is urgently needed to understand how obesity and HIV infection affect maternal and child health outcomes.
– Strategies should be developed to prevent postpartum weight gain, especially among women who are obese before pregnancy.
– Health education programs should promote healthy lifestyle behaviors, including proper nutrition and physical activity, to prevent postpartum obesity.
Key Role Players:
– Researchers and scientists to conduct further studies on the association between HIV, obesity, and postpartum health outcomes.
– Healthcare professionals to provide counseling and support for pregnant and postpartum women regarding healthy weight management.
– Policy makers and government officials to develop and implement public health interventions targeting obesity prevention and management in the postpartum period.
Cost Items for Planning Recommendations:
– Research funding for additional studies on the impact of HIV and obesity on maternal and child health outcomes.
– Budget allocation for health education programs targeting pregnant and postpartum women.
– Resources for training healthcare professionals on counseling and support for weight management.
– Funding for the development and implementation of public health interventions addressing postpartum obesity.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is moderately strong, but there are some areas for improvement. The study design is described, including the use of secondary analysis and the inclusion criteria for the cohorts. The sample size is provided, and descriptive statistics are presented. Multinomial logistic regression is used to estimate associations between factors and BMI at 12 months postpartum. However, there are some limitations to consider. The abstract does not mention the specific results or effect sizes of the associations. Additionally, there is no mention of statistical significance or confidence intervals. To improve the evidence, it would be helpful to include the specific results and effect sizes, as well as provide statistical significance and confidence intervals for the associations. This would provide more clarity and strengthen the evidence.

In South Africa, up to 40% of pregnant women are living with human immunodeficiency virus (HIV), and 30–45% are obese. However, little is known about the dual burden of HIV and obesity in the postpartum period. In a cohort of HIV-uninfected and HIV-infected pregnant women initiating antiretroviral therapy in Cape Town, South Africa, we examined maternal anthropometry (weight and body mass index [BMI]) from 6 weeks through 12 months postpartum. Using multinomial logistic regression, we estimated associations between baseline sociodemographic, clinical, behavioural, and HIV factors and being overweight–obese I (BMI 25 to 35), compared with being underweight or normal weight (BMI 18 years of age between March 2013 and August 2015 at their first antenatal care (ANC) visit at a primary care center in Gugulethu in Cape Town. Women who were breastfeeding at their first postpartum visit, scheduled 7 days after delivery, were enrolled and followed through 12 months postpartum. Out of 1,087 mother–infant pairs screened at their first postpartum visit, 92 women (79 HIV‐infected women and 14 HIV‐uninfected women; 8% overall) were excluded due to not breastfeeding (le Roux et al., 2019). Gugulethu is an urban community of approximately 300,000 people outside of Cape Town and is characterized by high levels of poverty and HIV (Myer et al., 2018; Strategic Development Information & GIS Department, 2013). Over 95% of women in this setting receive ANC prior to delivery (Myer et al., 2015). Provision of ART and prevention of mother‐to‐child transmission (PMTCT) services are provided at no cost as a part of routine ANC at all public sector clinics, in accordance with local guidelines. Starting in 2013, all HIV‐infected women attending ANC were eligible for lifelong ART, regardless of CD4 count of WHO clinical stage (WHO, 2013). All HIV‐infected women in the study initiated the local first‐line ART regimen of tenofovir (300 mg) + emtricitabine (200 mg)/lamivudine (300 mg) + efavirenz (600 mg), provided as a fixed‐dose combination pill taken once daily. HIV‐uninfected and HIV‐infected women initiating ART were included in the present analysis if they met eligibility criteria, were followed through 12 months postpartum (n = 884), and had a singleton pregnancy (n = 7 excluded). Participants completed study visits at enrollment into ANC (baseline), delivery, 6 weeks, and 3, 6, 9, and 12 months postpartum. Maternal anthropometry was assessed by maternal weight (in kilograms), BMI (calculated as kilograms/meters2), and changes in maternal weight from 6 weeks (baseline) through 12 months postpartum. Postpartum weight change was defined as either no weight change (within +/−2 kg), weight loss more than 2 kg, or weight gain more than 2 kg, between 6 weeks postpartum and each time point. Women were weighed, and their height was measured at enrollment into ANC (median gestational age 20 weeks, range 4–39) and at all postpartum visits by trained data collectors following standard operating procedures. For example, women were weighed on a calibrated digital scale (such as the Charder MS7301 250 Kg Digital Scale) with their shoes and extra layers of clothing removed and were measured using a portable stadiometer (Seca 213 Stature Meter Free‐Standing Stand). Competency checks, repeat training, and random quality control checks were conducted throughout the study period. BMI was categorized as underweight (<18.5), normal (18.5 to <25), overweight (25 to <30), obese I (30 to <35), obese II (35 to 40). Maternal weight at delivery was not measured; therefore, we were not able to estimate gestational weight gain. In addition, information on the development of gestational diabetes, pregnancy‐induced hypertension, preeclampsia, or postpartum hypertension or diabetes was not available. At enrollment into ANC, information on baseline sociodemographic, clinical, behavioural, and HIV disease (if applicable) characteristics was collected. Gestational age at enrollment into ANC was determined using ultrasound. A composite poverty score developed by our research team, calculated from current employment, housing type and access to household assets, was used to categorize women as “most,” “moderate,” or “least” disadvantaged (Brittain et al., 2017). Perinatal depression was measured using the Edinburgh Postnatal Depression Scale (range 0–30; Chorwe‐Sungani & Chipps, 2017; Cox, Holden, & Sagovsky, 1987). A score of >13 was used to indicate probable depression (Redinger, Norris, Pearson, Richter, & Rochat, 2018). Alcohol use was measured using the 3‐item Alcohol Use Disorders Identification Test‐Consumption (AUDIT‐C; range 0–12). For women, an AUDIT‐C score >3 indicates hazardous drinking (Bush, Kivlahan, McDonell, Fihn, & Bradley, 1998). Blood pressure was measured at baseline and categorized as normal (<120/80 mm Hg), elevated (systolic 120–129 and diastolic 140 or diastolic >90 mm Hg; American College of Obstetricians and Gynecologists, 2018). Due to the few women who had Stage 2 hypertension, women with Stages 1 and 2 hypertension were combined in statistical analyses. Among HIV‐infected women, CD4 cell count (<200, 201 to <350, 350 to 500 cells/mm3) and viral load (<1,000, 1,000 to 10,000 copies/ml), timing of HIV diagnosis (during the current pregnancy or previously) and use of antiretroviral prophylaxis for PMTCT in a previous pregnancy, and previous combination ART use were assessed at enrollment into ANC. The goals of the statistical analysis were to describe maternal weight, BMI, and weight change overtime and by HIV status during the postpartum period, as well as to estimate associations between demographic, clinical, behavioural factors and HIV status, and being overweight or obese at 12 months postpartum. Maternal anthropometry overtime and by HIV status was examined descriptively and graphically. To explore associations with being overweight or obese, we categorized women into one of three groups: underweight or normal weight (BMI <25), overweight or obese I (BMI 25 to 35). Because only 4% of the population was underweight, effect estimates could not be estimated separately for this group. Therefore, we grouped underweight women with normal weight women in order to retain as much of the sample as possible to maximize statistical precision. We used multinomial logistic regression to estimate odds ratios (OR) for associations between baseline factors and being overweight–obese I (outcome 1), or obese II‐III (outcome 2), compared with being underweight or normal weight (referent), at 12 months postpartum. In bivariable analyses, all factors with a p value .50, we selected the variable with the stronger bivariable association for inclusion into the multivariable model. When evaluating associations with BMI at 12 months postpartum, BMI at first ANC visit was highly collinear with BMI at 12 months postpartum and, therefore, was not included due to model convergence issues. Gestational age at enrollment into ANC and breastfeeding duration are likely intermediary variables, between several variables in the model and BMI category at 12 months postpartum, and therefore were not included in models (Ananth & Schisterman, 2017; Hernandez‐Diaz, Schisterman, & Hernan, 2006). As an exploratory, secondary analysis, we explored predictors of change in maternal weight (categorized as weight loss, no weight change, and weight gain using the category definition above) between 6 weeks postpartum and 12 months among the 596 women with a weight measurement at 6 weeks and 12 months postpartum. Bivariable and multivariable analyses were analogous to those described above. Among HIV‐infected women (n = 464), we examined whether HIV‐related factors, including timing of HIV diagnosis, previous PMTCT during pregnancy, viral load, and CD4 count, were associated with BMI at 12 months postpartum. Previous ART use was not included due to the majority of participants initiating ART for the first time. Missing BMI and blood pressure data at enrollment into ANC were common (10–12%) and more frequent among HIV‐infected women. To address potential bias due to missing data, we conducted a sensitivity analysis where we used multiple imputation to impute all missing data from a multivariate normal distribution (N = 50 imputations; Rubin, 1987). We then explored associations between baseline factors and BMI at 12 months postpartum in the imputed data. All statistical analyses were conducted in Stata version 15 (StataCorp, College Station, TX). Ethical approval for both the MCH‐ART and HU2 studies was provided by the University of Cape Town’s Human Research Ethics Committee. The MCH‐ART study also received ethical approval from the Columbia University Institutional Review Board.

Based on the provided information, here are some potential innovations that could improve access to maternal health:

1. Mobile Health (mHealth) Applications: Develop mobile applications that provide pregnant women with access to information and resources related to maternal health, including nutrition, exercise, and postpartum weight management. These apps can also provide reminders for prenatal and postnatal appointments and medication adherence.

2. Telemedicine Services: Implement telemedicine services to provide remote access to healthcare professionals for prenatal and postnatal consultations. This can help overcome geographical barriers and increase access to quality maternal healthcare, especially in rural areas.

3. Community Health Workers: Train and deploy community health workers to provide education, support, and monitoring for pregnant women and new mothers. These workers can conduct home visits, provide counseling on nutrition and weight management, and facilitate referrals to healthcare facilities when necessary.

4. Integrated Maternal Health Clinics: Establish integrated clinics that provide comprehensive maternal health services, including antenatal care, HIV testing and treatment, obesity management, and mental health support. This approach ensures that women receive holistic care and reduces the need for multiple clinic visits.

5. Health Education Campaigns: Launch targeted health education campaigns to raise awareness about the dual burden of HIV and obesity during the postpartum period. These campaigns can emphasize the importance of healthy lifestyle choices, regular exercise, and adherence to antiretroviral therapy for both maternal and child health.

6. Financial Support Programs: Develop financial support programs to alleviate the economic burden of accessing maternal healthcare services. This can include subsidies for transportation, medication, and nutritious food for pregnant women and new mothers.

7. Collaborative Partnerships: Foster collaborations between healthcare providers, researchers, policymakers, and community organizations to address the complex challenges related to maternal health. These partnerships can facilitate the development and implementation of innovative solutions tailored to the local context.

It is important to note that the specific implementation of these innovations should be based on a thorough assessment of the local healthcare system, resources, and cultural factors.
AI Innovations Description
Based on the provided description, the following recommendation can be developed into an innovation to improve access to maternal health:

1. Implement integrated antenatal care services: Develop a comprehensive antenatal care program that combines maternal health services with HIV testing and treatment. This integrated approach will ensure that pregnant women receive both prenatal care and HIV-related services in a coordinated manner, improving access to essential healthcare.

2. Strengthen postpartum support: Establish postpartum support programs that focus on promoting healthy weight management and lifestyle behaviors among new mothers. These programs can provide education, counseling, and resources to help women maintain a healthy weight after childbirth, particularly for those living with HIV.

3. Enhance community-based interventions: Implement community-based interventions that target maternal health and obesity prevention. These interventions can include community health workers who provide education, support, and referrals to pregnant women and new mothers, ensuring that they have access to the necessary resources and services.

4. Improve data collection and analysis: Enhance data collection and analysis systems to monitor and evaluate the impact of interventions on maternal health outcomes. This will enable policymakers and healthcare providers to make informed decisions and identify areas for improvement.

5. Collaborate with stakeholders: Foster collaboration among healthcare providers, researchers, policymakers, and community organizations to develop and implement innovative solutions. By working together, these stakeholders can leverage their expertise and resources to address the complex challenges related to maternal health and obesity.

Overall, these recommendations aim to address the dual burden of HIV and obesity in the postpartum period and improve access to maternal health services in South Africa. By implementing these innovations, it is possible to enhance the overall well-being of pregnant women and improve maternal and child health outcomes.
AI Innovations Methodology
Based on the provided description, here are some potential recommendations to improve access to maternal health:

1. Integrated HIV and obesity management programs: Develop integrated programs that address both HIV and obesity during the postpartum period. These programs should provide comprehensive care, including counseling on healthy eating, physical activity, and adherence to antiretroviral therapy.

2. Community-based interventions: Implement community-based interventions that focus on raising awareness about the dual burden of HIV and obesity among pregnant women. These interventions can include educational campaigns, support groups, and peer counseling to promote healthy behaviors and provide social support.

3. Strengthening antenatal care services: Enhance antenatal care services to include routine screening and management of obesity and HIV. This can involve training healthcare providers on the management of these conditions, ensuring access to appropriate diagnostic tools, and integrating obesity and HIV management guidelines into existing protocols.

4. Mobile health (mHealth) interventions: Utilize mHealth interventions, such as mobile apps or text messaging, to deliver health information, reminders, and support to pregnant women. These interventions can provide personalized guidance on nutrition, physical activity, medication adherence, and appointment reminders.

To simulate the impact of these recommendations on improving access to maternal health, a methodology could include the following steps:

1. Define the target population: Identify the specific population that will be targeted by the recommendations, such as pregnant women living with HIV in South Africa.

2. Collect baseline data: Gather data on the current access to maternal health services, prevalence of HIV and obesity among pregnant women, and existing barriers to accessing care. This can be done through surveys, interviews, or existing data sources.

3. Develop a simulation model: Create a mathematical or statistical model that simulates the impact of the recommendations on improving access to maternal health. The model should consider factors such as the number of women reached by the interventions, changes in health behaviors, and the potential reduction in HIV and obesity-related complications.

4. Input data and parameters: Input the collected baseline data and relevant parameters into the simulation model. This may include data on the effectiveness of the interventions, population demographics, healthcare infrastructure, and resource availability.

5. Run simulations: Run multiple simulations using different scenarios and assumptions to estimate the potential impact of the recommendations. This can involve varying factors such as intervention coverage, adherence rates, and the time frame for implementation.

6. Analyze results: Analyze the simulation results to assess the projected impact of the recommendations on improving access to maternal health. This can include evaluating changes in key indicators such as the proportion of women receiving appropriate care, improvements in health outcomes, and potential cost-effectiveness.

7. Refine and validate the model: Continuously refine and validate the simulation model based on feedback, additional data, and real-world observations. This will help improve the accuracy and reliability of the model’s predictions.

By following these steps, policymakers and healthcare providers can gain insights into the potential benefits and challenges of implementing the recommended innovations to improve access to maternal health.

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