Determinants of Maternal Overweight and Obesity in Malawi: A Multilevel Analysis of the 2024 Demographic and Health Survey
Using a multilevel analysis of the 2024 Malawi Demographic and Health Survey, this study reveals that maternal overweight and obesity affect 24% of women of reproductive age and are primarily driven by socioeconomic advantage, age, parity, and urban residence rather than deprivation, highlighting the need for prevention strategies that address this rising burden alongside existing undernutrition challenges.
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For decades, the story of malnutrition in many parts of the world was a simple one of scarcity. The focus was on hunger, on children who were too thin, and on families struggling to find enough food to survive. But the global picture has shifted. In many low-income nations, a new reality is taking shape where the same communities that still fight childhood hunger are now seeing a steady rise in adults who carry too much weight. This is not a replacement of one problem by another, but a coexistence of both, creating a complex double burden. When a woman of childbearing age is overweight or obese, it changes the risks for her own health and for the baby she carries, increasing the chances of complications during pregnancy and birth. Understanding who is most likely to be affected by this excess weight, and why, is essential for health systems that have historically been designed only to treat hunger.
A recent study looking at data from Malawi offers a clear, detailed map of this changing landscape. Researchers examined information from nearly 10,000 non-pregnant women between the ages of 15 and 49, using measurements taken directly from the women themselves rather than relying on what they said about their weight. They wanted to know how common overweight and obesity had become and what factors at the individual, family, and community levels were driving these numbers. By grouping the women based on where they lived and analyzing the data in layers, the team could separate the influence of a woman's personal circumstances from the environment she grew up in or lived within.
The findings reveal that the situation has evolved significantly. One in four women of reproductive age in Malawi is now overweight or obese, with nearly one in fifteen falling into the category of obesity. This represents a steady climb from previous years, continuing a trend that has been visible since the early 2000s. The study shows that this condition is not spreading randomly across the population. Instead, it follows a very specific pattern tied to advantage. The women most likely to be overweight are those who are older, have given birth to several children, live in cities, and belong to wealthier households. In fact, the gap between the richest and the poorest women is stark; a woman in the wealthiest group is nearly four times as likely to be overweight or obese as a woman in the poorest group.
Education plays a similar role, with women who have attended higher levels of school showing higher rates of excess weight compared to those with no formal education. The researchers also found that age and the number of children a woman has are powerful indicators. The risk rises sharply as women get older, peaking in their late thirties, and women who have had three or four children are at the highest risk. Interestingly, factors that might seem important at first glance, such as having a job or being exposed to media like television and radio, did not hold up as independent causes once the researchers accounted for wealth and where a woman lived. It appears that these factors were simply standing in for a woman's economic status; once that was measured directly, their separate influence disappeared.
The study also looked at whether the specific neighborhood or region a woman lived in mattered on its own. At first, there was some clustering, meaning women in the same area tended to have similar weights. However, when the researchers adjusted for the personal and household characteristics of the women, this geographic difference almost vanished. This suggests that in Malawi, who a woman is—her age, her wealth, her education, and her family size—matters far more for her weight than exactly where she lives. The only geographic factor that remained significant was that women in the Southern region had slightly lower odds of being overweight compared to those in the North, though the reasons for this are not fully clear and may relate to cultural or dietary differences.
These results challenge the old assumption that obesity is only a problem for the wealthy in rich countries. In Malawi, as in many other developing nations, affluence currently buys access to diets rich in energy-dense foods and lifestyles that require less physical movement, leading to weight gain. The study indicates that while the poor are not yet the primary group affected, the prevalence among them is already non-trivial, suggesting that without intervention, the burden could shift to poorer populations as cheap, processed foods become more available in rural markets. The researchers conclude that health programs in Malawi need to expand their focus. They must continue to fight childhood undernutrition while simultaneously developing strategies to prevent excess weight gain among older, urban, and wealthier women, ensuring that the health system is ready to manage this double burden of malnutrition.
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