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	<title>socio-economic inequality &#8211; Science</title>
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	<title>socio-economic inequality &#8211; Science</title>
	<link>https://scienmag.com</link>
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		<title>Stunting in Southern Africa Follows the Wealth Divide, Landmark Study Finds</title>
		<link>https://scienmag.com/stunting-in-southern-africa-follows-the-wealth-divide-landmark-study-finds/</link>
		
		<dc:creator><![CDATA[Courtney Benton]]></dc:creator>
		<pubDate>Fri, 25 Sep 2026 21:01:35 +0000</pubDate>
				<category><![CDATA[Social Science]]></category>
		<category><![CDATA[Child nutrition]]></category>
		<category><![CDATA[childhood stunting]]></category>
		<category><![CDATA[Childhood stunting in southern Africa]]></category>
		<category><![CDATA[chronic undernutrition and early childhood development]]></category>
		<category><![CDATA[concentration index]]></category>
		<category><![CDATA[consequences of stunting on cognitive development]]></category>
		<category><![CDATA[decomposition analysis]]></category>
		<category><![CDATA[Demographic and Health Surveys]]></category>
		<category><![CDATA[health equity in southern Africa]]></category>
		<category><![CDATA[health inequalities in South Africa and Lesotho]]></category>
		<category><![CDATA[household wealth]]></category>
		<category><![CDATA[impact of poverty on child growth]]></category>
		<category><![CDATA[Lesotho]]></category>
		<category><![CDATA[long-term effects of childhood malnutrition]]></category>
		<category><![CDATA[malnutrition]]></category>
		<category><![CDATA[maternal education]]></category>
		<category><![CDATA[national survey data analysis on stunting]]></category>
		<category><![CDATA[rural health]]></category>
		<category><![CDATA[social determinants of stunting]]></category>
		<category><![CDATA[socio-economic inequality]]></category>
		<category><![CDATA[South Africa]]></category>
		<category><![CDATA[undernutrition and socioeconomic status]]></category>
		<category><![CDATA[wealth disparity in nutrition]]></category>
		<category><![CDATA[WHO child growth standards]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=214498</guid>

					<description><![CDATA[A new demographic analysis of South Africa and Lesotho finds childhood stunting is strongly concentrated among poorer households, driven by maternal education, wealth, and rural residence.]]></description>
										<content:encoded><![CDATA[<p>Childhood stunting, the surest early-warning signal of chronic undernutrition, is not distributed randomly across the mountain kingdoms and townships of southern Africa. A new analysis of national survey data from South Africa and Lesotho shows that the condition tracks household wealth with startling precision: the poorer the family, the higher the odds that a child under five will fail to grow to their expected height. The study, led by Matshidiso Sello of the University of Johannesburg and colleagues at the University of Zambia, offers one of the most statistically rigorous portraits yet of who bears the burden of stunting in the two neighboring countries, and why.</p>
<p>Stunting, defined as height-for-age falling more than two standard deviations below the benchmarks set by the World Health Organization&#8217;s child growth standards, is not simply a matter of being small. It reflects months or years of inadequate nutrition, repeated infection, and chronic stress during the most sensitive window of human development. Its consequences cascade: stunted children face elevated risks of cognitive impairment, weakened immunity, poorer school performance, and reduced adult earning capacity. That is why international health agencies treat stunting reduction as a central yardstick for progress on nutrition and equity.</p>
<p>The research team drew on two large, nationally representative household surveys: the 2016 South African Demographic and Health Survey, which measured 1,468 children under five, and the 2023 Lesotho Demographic and Health Survey, covering 1,574 children. Because these surveys combine standardized anthropometric measurements with detailed household records of income, education, residence, and maternal health, they allow researchers to place every measured child on a national socioeconomic spectrum, a powerful but data-hungry form of epidemiological mapping.</p>
<p>The headline numbers are sobering. In Lesotho, 35.6 percent of children under five were stunted, with a 95 percent confidence interval of 32.6 to 38.7 percent. South Africa fared somewhat better at 27.4 percent, with a confidence interval of 24.3 to 30.7 percent. These figures persist at high levels despite years of national nutrition programs, school feeding schemes, and social grants, suggesting that broad interventions alone are not reaching the households where growth failure begins.</p>
<p>The study&#8217;s methodological core lies in how it quantifies inequality. The team used the Erreygers corrected concentration index, a refinement of the standard concentration index designed to handle bounded health outcomes and produce more reliable rankings. In both countries the index was negative and statistically significant: −0.1442 in South Africa and −0.1818 in Lesotho, each at p less than 0.001. A negative value in this framework signals pro-poor inequality, meaning stunting is concentrated among children from poorer households rather than spread evenly across the wealth distribution.</p>
<p>The concentration curves make the pattern vivid. When children are ranked from poorest to richest and cumulative stunting is plotted against cumulative population, the curves for both countries sag above the diagonal of equality, showing that the poorest children accumulate a disproportionate share of the stunting burden. In Lesotho the deviation was even steeper than in South Africa, indicating that the wealth gradient in undernutrition is more pronounced in the smaller, mountainous kingdom.</p>
<p>Geography deepens the divide. In South Africa, stunted children were significantly more likely to live in rural areas than in urban ones, with the analysis yielding a coefficient of 0.1015 at p less than 0.05. This rural penalty likely reflects a constellation of disadvantages: longer distances to clinics and markets, higher food prices for staple goods, limited access to clean water and sanitation, and thinner coverage of early childhood services. In a country with one of the most developed economies in Africa, the persistence of rural nutritional deficits underscores how uneven development can be.</p>
<p>To move beyond description, the researchers deployed multivariable decomposition analysis, a technique borrowed from economics that splits an observed inequality into the contributions of its underlying factors. The results pointed to three dominant levers: maternal educational attainment, household wealth, and rural residence. Mothers with more education, the analysis implies, tend to have better access to nutritional knowledge, health services, and economic resources, all of which protect against growth faltering. Household wealth operates through food security, housing quality, and healthcare access, while rurality compounds both.</p>
<p>The authors argue that the findings carry direct policy weight. Strengthening integrated nutrition and social protection policies, they conclude, is critical to achieving equitable improvements in child nutritional outcomes in both countries. In practice, that means pairing food and micronutrient programs with investments in girls&#8217; and women&#8217;s schooling, deepening child support grants and other cash-transfer systems, and deliberately targeting rural and remote communities where the burden is heaviest. Universal approaches that treat all children alike, the data suggest, will leave the poorest behind.</p>
<p>For a region where stunting remains stubbornly high despite decades of intervention, the study reframes the problem: this is not merely a question of food supply but of social structure. Until the economic gradient in childhood nutrition is flattened, the tallest children in South Africa and Lesotho will, in a statistical sense, keep growing up on the wealthier side of the line. The research, published open access in Discover Social Science and Health, gives policymakers a precise map of where and among whom the next generation&#8217;s growth potential is being lost, and a measured argument for why equity must move to the center of the nutrition agenda.</p>
<p><strong>Subject of Research:</strong> Socio-economic inequalities in childhood stunting among children under five in South Africa and Lesotho</p>
<p><strong>Article Title:</strong> Socio-economic inequalities in childhood stunting among children under five years in South Africa and Lesotho</p>
<p><strong>Article References:</strong> Sello, M., Musonda, E., Mubita, A., Fikani, N., &amp; Phiri, M. (2026). Socio-economic inequalities in childhood stunting among children under five years in South Africa and Lesotho. <em>Discover Social Science and Health</em>. <a href="https://doi.org/10.1007/s44155-026-00491-7" rel="noopener noreferrer">https://doi.org/10.1007/s44155-026-00491-7</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s44155-026-00491-7" rel="noopener noreferrer">10.1007/s44155-026-00491-7</a></p>
<p><strong>Keywords:</strong> childhood stunting, South Africa, Lesotho, socio-economic inequality, malnutrition, concentration index, decomposition analysis, maternal education, household wealth, rural health, child nutrition, demographic and health surveys</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">214498</post-id>	</item>
		<item>
		<title>Two in Five Young Tribal Women in India Still Lack Hygienic Menstrual Products</title>
		<link>https://scienmag.com/two-in-five-young-tribal-women-in-india-still-lack-hygienic-menstrual-products/</link>
		
		<dc:creator><![CDATA[Courtney Benton]]></dc:creator>
		<pubDate>Thu, 10 Sep 2026 20:50:00 +0000</pubDate>
				<category><![CDATA[Social Science]]></category>
		<category><![CDATA[access to hygienic menstrual products in India]]></category>
		<category><![CDATA[challenges of menstrual hygiene management in marginalized populations]]></category>
		<category><![CDATA[cultural stigma around menstruation in tribal areas]]></category>
		<category><![CDATA[district-level mapping]]></category>
		<category><![CDATA[health risks of unhygienic menstrual management]]></category>
		<category><![CDATA[impact of geographic isolation on menstrual hygiene]]></category>
		<category><![CDATA[importance of exclusive hygienic menstrual practices]]></category>
		<category><![CDATA[India]]></category>
		<category><![CDATA[logistic regression]]></category>
		<category><![CDATA[menstrual equity]]></category>
		<category><![CDATA[menstrual health disparities among young women]]></category>
		<category><![CDATA[menstrual health education in rural and]]></category>
		<category><![CDATA[menstrual hygiene]]></category>
		<category><![CDATA[menstrual hygiene awareness in tribal communities]]></category>
		<category><![CDATA[NFHS-5]]></category>
		<category><![CDATA[NFHS-5 data on menstrual practices]]></category>
		<category><![CDATA[policies to improve menstrual health among tribal women]]></category>
		<category><![CDATA[Public health]]></category>
		<category><![CDATA[Reproductive Health]]></category>
		<category><![CDATA[sanitation]]></category>
		<category><![CDATA[social and economic factors influencing menstrual hygiene]]></category>
		<category><![CDATA[socio-economic inequality]]></category>
		<category><![CDATA[spatial analysis]]></category>
		<category><![CDATA[tribal women]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=191834</guid>

					<description><![CDATA[A nationwide analysis of over 44,000 young tribal women finds only 65.4 percent exclusively use hygienic menstrual methods, with education, wealth, sanitation, and district-level geography shaping stark disparities.]]></description>
										<content:encoded><![CDATA[<p>More than one in three young tribal women in India continues to manage her period without exclusive access to hygienic menstrual materials, according to a new nationwide analysis that maps, for the first time at this scale, where the gaps are deepest and which social forces drive them. Drawing on data from the National Family Health Survey-5 (NFHS-5) conducted between 2019 and 2021, researchers at the International Institute for Population Sciences in Mumbai examined the menstrual practices of 44,392 tribal women aged 15 to 24 years, a population that sits at the intersection of economic disadvantage, geographic isolation, and entrenched cultural stigma. Their findings, published in the journal Discover Social Science and Health, reveal that only 65.4 percent of these young women exclusively used hygienic methods during menstruation, leaving a substantial majority gap that national averages have long obscured.</p>
<p>The study&#8217;s definition of exclusive hygienic practice was deliberately strict. A woman was counted as practicing exclusive menstrual hygiene only if she used sanitary napkins, locally prepared napkins, tampons, or menstrual cups without simultaneously resorting to unhygienic alternatives such as cloth, ash, or other improvised materials. This distinction matters because mixed use, in which a woman alternates between a sanitary pad and a piece of old cloth depending on availability or cost, is common in resource-poor settings and carries real health consequences, including elevated risks of reproductive and urinary tract infections. By measuring exclusive use rather than any use of hygienic products, the researchers captured a more demanding and arguably more meaningful standard of menstrual health.</p>
<p>The methodological architecture of the study combined three complementary analytical approaches. Descriptive statistics established the overall prevalence of exclusive hygienic practice and its breakdown across states. District-level spatial mapping then visualized the geographic distribution of the outcome, exposing patterns of concentration and clustering that state-level averages conceal. Finally, multivariable logistic regression isolated the independent associations between a suite of socio-economic, demographic, and household characteristics and the likelihood of exclusive hygienic practice, allowing the authors to estimate how each factor contributes while holding the others constant. This triangulation of statistical and spatial techniques is what gives the study its policy relevance: it identifies not only who is being left behind but where interventions should be concentrated.</p>
<p>The determinants the analysis uncovered follow a now-familiar gradient of privilege, but the magnitude of the effects among tribal women is striking. Higher education emerged as one of the strongest predictors, with women who had completed more years of schooling showing substantially greater odds of exclusive hygienic practice than those with little or no formal education. Household wealth exerted an equally powerful influence, reflecting the blunt reality that commercial sanitary products carry a recurring cost that poorer households struggle to absorb. Education likely operates through multiple channels simultaneously: better knowledge of menstrual health, greater bargaining power within the household, higher exposure to health messaging, and improved employment prospects that translate into personal spending capacity.</p>
<p>Age and residence patterned the outcome in opposite and instructive directions. Rural tribal women were less likely to use hygienic methods exclusively than their urban counterparts, a gap that points to the compounded burden of distance from markets, weaker supply chains for menstrual products, and limited privacy and sanitation infrastructure in village settings. Older women within the 15-to-24 age band also showed reduced odds compared with the youngest respondents, a finding the authors interpret as evidence of a generational shift: younger cohorts, exposed to school-based programs, media campaigns, and expanding product availability, appear to be adopting hygienic practices at higher rates than women just a few years their senior. Whether this cohort effect will translate into a population-wide improvement depends on whether supply and affordability keep pace with changing attitudes.</p>
<p>One of the study&#8217;s most policy-significant findings concerns sanitation. The availability of improved toilet facilities in the household was positively associated with exclusive hygienic menstrual practice, an association that survived statistical adjustment for wealth and other confounders. The link is intuitive when viewed through the lens of daily menstrual management: a private, safe, water-protected toilet changes what is practically possible during menstruation, enabling washing, secure storage of products, and dignified disposal. The finding suggests that sanitation programs and menstrual health programs are not parallel agendas but deeply intertwined ones, and that investments in household sanitation may deliver measurable co-benefits for menstrual hygiene among the most disadvantaged populations.</p>
<p>The spatial analysis is where the study delivers its most visually persuasive evidence. District-level maps revealed significant regional disparities, with lower odds of exclusive hygienic practice concentrated in central India, a belt that corresponds to many of the country&#8217;s predominantly tribal districts, and higher odds in the southern and western regions. Perhaps more important, the maps exposed substantial intra-state variation, meaning that districts within the same state often differed dramatically from one another. This heterogeneity is a direct challenge to uniform national strategies. A state-level average can mask districts where fewer than half of young tribal women use hygienic methods exclusively, and a national program calibrated to the average will inevitably overshoot some areas while leaving the worst-served districts untouched.</p>
<p>The implications for policy flow directly from the structure of the evidence. The authors argue that interventions must move beyond one-size-fits-all national programs and adopt region- and district-specific approaches that integrate multiple levers at once: expanding girls&#8217; education, poverty alleviation, reproductive health awareness campaigns, and improved access to affordable menstrual products. Each lever maps onto a determinant the regression analysis identified. Education and wealth are long-term structural drivers that require sustained investment in schooling and social protection. Product access is a shorter-term supply-side problem that can be addressed through subsidized distribution, local manufacturing, and strengthening last-mile availability in rural and remote tribal areas. Sanitation investment, as the toilet-facility finding demonstrates, belongs squarely within this integrated package rather than being treated as a separate sectoral concern.</p>
<p>The concept of menstrual equity frames the study&#8217;s conclusions. Menstrual hygiene management has often been treated as a narrow technical problem solvable by product distribution alone, but the evidence assembled here situates it within a web of poverty, education, sanitation, geography, and social norms. Tribal women in India face compounded disadvantages on every one of these dimensions simultaneously, which helps explain why, despite measurable national progress in hygienic menstrual practice over recent decades, this population continues to lag behind. The 34.6 percent of young tribal women who lack exclusive access to hygienic methods represent not a residual problem but a concentrated one, clustered in identifiable districts and shaped by modifiable social conditions.</p>
<p>What the study ultimately offers is a map of accountability. By quantifying the prevalence, identifying the determinants, and visualizing the spatial clustering of unhygienic menstrual practice among young tribal women, the research converts a diffuse and often silenced public health concern into a set of concrete, locatable, and addressable deficits. The path forward it sketches is demanding, requiring coordination across education, health, sanitation, and social welfare sectors, calibrated to the district level rather than the national average. But it is also concrete. The data now exist to know where the gaps are, who falls into them, and which interventions are most likely to close them. Turning that knowledge into menstrual equity for India&#8217;s tribal women is the task the evidence has now made impossible to defer.</p>
<p>The analysis draws on the National Family Health Survey-5, India&#8217;s largest nationally representative household survey, which collects information on menstrual hygiene practices as part of its women&#8217;s health module. Because the survey covers the full country, it allows researchers to disaggregate findings down to the district level, a granularity rarely available for tribal populations, who are often too small a share of state or national samples to be studied separately. By restricting the sample to women aged 15 to 24 years, the study focuses on the age range in which menstrual practices are first established and in which school attendance, marriage, and childbearing decisions intersect with reproductive health.</p>
<p>India&#8217;s tribal communities, officially recognized as Scheduled Tribes, number more than one hundred million people and are concentrated in forested and hilly regions of central, eastern, and northeastern India. These areas historically have had lower coverage of health infrastructure, sanitation, and schooling than the rest of the country, and the central Indian belt identified in the spatial analysis overlaps substantially with this geography. The finding that improved toilet facilities were associated with hygienic practice is consistent with the broader observation that household sanitation shapes what women can do privately during menstruation, particularly in homes where water access and disposal systems are limited.</p>
<p>The emphasis on exclusive use also has implications for how progress is measured. If surveys count any use of a hygienic product as adequate, mixed practices that still expose women to infection risk go undetected, and the apparent gap between tribal and non-tribal populations may be understated. The strict definition adopted here therefore provides a more conservative and arguably more honest benchmark. The open-access nature of the article, published under a Creative Commons licence, means that the district-level evidence base it documents is available to program planners, state health departments, and civil society organizations working on menstrual health in the very regions the maps identify as underserved.</p>
<p><strong>Subject of Research:</strong> Determinants and spatial patterns of hygienic menstrual practices among tribal women in India</p>
<p><strong>Article Title:</strong> Determinants and spatial patterns of hygienic menstrual practices among tribal Women in India</p>
<p><strong>Article References:</strong> Kumar, S., Dwivedi, S. N., &amp; Reshmi, R. S. (2026). Determinants and spatial patterns of hygienic menstrual practices among tribal Women in India. <em>Discover Social Science and Health</em>. <a href="https://doi.org/10.1007/s44155-026-00435-1" rel="noopener noreferrer">https://doi.org/10.1007/s44155-026-00435-1</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s44155-026-00435-1" rel="noopener noreferrer">10.1007/s44155-026-00435-1</a></p>
<p><strong>Keywords:</strong> menstrual hygiene, tribal women, India, NFHS-5, spatial analysis, sanitation, menstrual equity, reproductive health, socio-economic inequality, public health, district-level mapping, logistic regression</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">191834</post-id>	</item>
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