Researchers in Lesotho looked at nearly 1,100 children under age 5 to understand why some kids aren’t getting enough nutrition. They found that about 35% of these children showed signs of poor nutrition—either being too thin, too short for their age, or weighing too little. The study discovered that certain factors made it more likely for children to have nutrition problems, including being a boy, having multiple siblings, being born as a twin, and living in a poorer household. On the bright side, children born larger and girls were less likely to have these nutrition issues. These findings could help the government in Lesotho create better programs to feed hungry children.
The Quick Take
- What they studied: What factors make young children in Lesotho more likely to be malnourished (not getting enough food or nutrients)?
- Who participated: 1,089 children under 5 years old living in Lesotho, a country in southern Africa. The researchers used information collected by health workers in 2023-2024 about these children’s height, weight, and family situations.
- Key finding: About 35 out of every 100 children under 5 in Lesotho showed signs of malnutrition. Boys were more likely to be malnourished than girls. Twins and children with many siblings were at higher risk. Children from wealthier families and those born larger were less likely to have nutrition problems.
- What it means for you: If you live in Lesotho or work with children there, this research suggests that nutrition programs should focus extra attention on boys, twins, and families with many children. Wealthier families seem to be doing better at feeding their children, which suggests poverty is a major barrier to good nutrition.
The Research Details
Researchers used information that health workers had already collected from families in Lesotho during 2023-2024. This is called a ‘secondary analysis’—they didn’t do new interviews, but instead looked at existing data. They measured three things about each child: height (to see if they were short for their age), weight compared to height (to see if they were too thin), and weight compared to age (to see if they weighed enough). A child was considered malnourished if they had any of these three problems.
The researchers then used a statistical method called ‘binary logistic regression’ to figure out which factors were most strongly connected to malnutrition. They looked at things like the child’s age, sex, whether they were a twin, how many brothers and sisters they had, how rich their family was, and where they lived (city or countryside).
This approach is useful because it lets researchers study real-world situations without having to do expensive new studies. However, it can only show which factors are connected to malnutrition, not necessarily prove that one thing causes another.
Using existing health data is important because it’s faster and cheaper than doing brand-new research. This allows researchers to quickly identify which children need the most help. By understanding which factors are connected to malnutrition, the government can design better programs—for example, by focusing resources on rural areas or on families with twins.
This study used a reasonably large sample of 1,089 children, which gives the results more reliability. The researchers used a standard measurement system (CIAF) that’s recognized internationally for assessing child nutrition. However, because this is a ‘snapshot’ study (looking at one point in time), it can’t prove that certain factors actually cause malnutrition—only that they’re connected. The study was conducted in Lesotho specifically, so the results may not apply exactly the same way to other countries.
What the Results Show
The study found that about 35% of children under 5 in Lesotho showed signs of malnutrition. This is a high number and suggests that nutrition is a serious problem in the country.
Several factors were strongly connected to whether a child was malnourished. Boys were about half as likely as girls to avoid malnutrition problems (meaning boys had more problems). Children between 2 and 5 years old were more than twice as likely to be malnourished compared to babies under 2 years old. Twins had a dramatically higher risk—they were about 12 times more likely to be malnourished than single-born children.
Family wealth made a big difference. Children from rich households were much less likely to be malnourished (only about 29% of the risk compared to poorer families). Children from families with 3-4 living children were about 2.5 times more likely to be malnourished than children from smaller families. Interestingly, children born larger (bigger birth size) were less likely to have nutrition problems later on.
Where a child lived also mattered. Rural children had lower rates of malnutrition than city children in this study, which was somewhat surprising. This might be because rural families grow their own food or have different eating patterns. The combination of multiple factors created even higher risk—for example, a boy who was a twin from a poor family in a rural area would face multiple risk factors at once.
Previous research has shown that malnutrition in young children is a major problem in developing countries, and this study confirms that Lesotho is no exception. Other studies have also found that poverty, family size, and being a twin are connected to malnutrition. However, this is one of the first studies to look at all these factors together in Lesotho specifically, using recent 2023-2024 data.
This study has some important limitations to keep in mind. First, it only shows which factors are connected to malnutrition, not which factors actually cause it. For example, we can’t say for certain that being a twin causes malnutrition—only that twins in this study were more likely to be malnourished. Second, the study only looked at one point in time, so we don’t know if these patterns stay the same over months or years. Third, the study only included children in Lesotho, so the results might not apply to other countries. Finally, some of the numbers (like for twins) were based on small groups, which makes them less reliable.
The Bottom Line
Based on this research, here are evidence-based recommendations: (1) The government of Lesotho should use the CIAF measurement system to regularly check how many children are malnourished—this is a moderate-confidence recommendation based on the study’s findings. (2) Nutrition programs should focus extra resources on boys, twins, families with many children, and poorer households—this is a moderate-to-high confidence recommendation. (3) Programs should pay special attention to children ages 2-5, as they showed higher malnutrition rates—this is a moderate-confidence recommendation. (4) Rural areas should not be overlooked in nutrition programs, despite showing lower rates in this study—this is a low-to-moderate confidence recommendation.
This research is most important for: government health officials in Lesotho who make decisions about nutrition programs; health workers and doctors who care for young children; organizations that work on child health and nutrition; and families in Lesotho with young children, especially those with twins, multiple children, or limited money. People in other countries may find this helpful for understanding malnutrition in developing nations, but the specific recommendations apply most directly to Lesotho.
If nutrition programs are improved based on these findings, it would likely take several months to a year to see improvements in individual children’s nutrition. However, measuring changes at the population level (across the whole country) would take 2-3 years or more. Children who receive better nutrition can show improvements in growth within 3-6 months, but catching up fully to healthy growth may take longer.
Want to Apply This Research?
- If you’re a parent or caregiver in Lesotho, track your child’s weight and height monthly (or every 3 months) and compare it to growth charts. Note whether your child seems to be growing at a normal pace. You can also track food intake—how many meals per day and what types of foods—to identify nutrition gaps.
- Practical changes based on this research: (1) If you have multiple children or limited money, prioritize getting nutritious foods like eggs, beans, and vegetables for your youngest children and boys. (2) If you have twins, pay extra attention to making sure each twin gets enough food—twins may need more support. (3) Track growth regularly at health clinics. (4) Connect with local nutrition programs that may offer food assistance or nutrition education.
- Long-term tracking should include: monthly or quarterly weight and height measurements at a health clinic; regular check-ins with health workers about your child’s diet; noting any changes in how your child looks or acts that might suggest nutrition problems; and keeping records of which foods your family can afford and access regularly. This helps identify problems early when they’re easier to fix.
This research describes patterns found in Lesotho and should not be used to diagnose or treat individual children. If you’re concerned about a child’s nutrition or growth, please consult with a qualified healthcare provider or visit a local health clinic. This study identifies risk factors but cannot predict whether any specific child will be malnourished. Nutrition recommendations should be personalized based on each child’s individual health status, medical history, and local food availability. This article is for educational purposes and should not replace professional medical advice.
This research translation is published by Gram Research, the science division of Gram, an AI-powered nutrition tracking app.
