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	<title>living &#8211; Science</title>
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	<title>living &#8211; Science</title>
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		<title>Age-specific time-spent patterns among residents living near gold mine tailings storage facilities in the West Rand, South Africa</title>
		<link>https://scienmag.com/age-specific-time-spent-patterns-among-residents-living-near-gold-mine-tailings-storage-facilities-in-the-west-rand-south-africa/</link>
		
		<dc:creator><![CDATA[Ophelia Keating]]></dc:creator>
		<pubDate>Fri, 11 Sep 2026 23:47:06 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[Age-specific]]></category>
		<category><![CDATA[age-specific time-spent near mine waste]]></category>
		<category><![CDATA[community exposure to gold mine tailings]]></category>
		<category><![CDATA[environmental health risks of mining]]></category>
		<category><![CDATA[environmental monitoring of tailings facilities]]></category>
		<category><![CDATA[exposure patterns in mining towns]]></category>
		<category><![CDATA[facilities]]></category>
		<category><![CDATA[gold]]></category>
		<category><![CDATA[gold mine tailings exposure]]></category>
		<category><![CDATA[health implications of proximity to mine waste]]></category>
		<category><![CDATA[impact of gold mining on local communities]]></category>
		<category><![CDATA[living]]></category>
		<category><![CDATA[long-term effects of mine tailings]]></category>
		<category><![CDATA[mine]]></category>
		<category><![CDATA[near]]></category>
		<category><![CDATA[patterns]]></category>
		<category><![CDATA[residents]]></category>
		<category><![CDATA[residents living near tailings storage facilities]]></category>
		<category><![CDATA[socio-environmental impact of gold mining]]></category>
		<category><![CDATA[South Africa West Rand mining landscape]]></category>
		<category><![CDATA[storage]]></category>
		<category><![CDATA[tailings]]></category>
		<category><![CDATA[time-spent]]></category>
		<category><![CDATA[West]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=193142</guid>

					<description><![CDATA[In the mining towns scattered across South Africa's West Rand, a quiet but consequential question sits at the intersection of environmental health and everyday life: how much time do residents actually spend near the vast dumps of crushed rock and]]></description>
										<content:encoded><![CDATA[<p>In the mining towns scattered across South Africa&#8217;s West Rand, a quiet but consequential question sits at the intersection of environmental health and everyday life: how much time do residents actually spend near the vast dumps of crushed rock and fine sand left behind by more than a century of gold mining? A new study published in the Journal of Exposure Science &amp; Environmental Epidemiology addresses this question directly, documenting age-specific time-spent patterns among people living close to gold mine tailings storage facilities. The work fills a gap that exposure scientists have long identified in one of the world&#8217;s most intensively mined landscapes, where millions of people dwell within sight, and often within walking distance, of enormous engineered mounds of mine waste that have become a permanent feature of the region&#8217;s geography and daily experience.</p>
<p>Tailings storage facilities, known in the industry as TSFs, are the embankments and impoundments built to contain the fine-grained residue that remains after gold ore is crushed and processed. On the Witwatersrand, the gold-bearing basin that underlies much of Gauteng Province, these facilities rise as pale, treeless hills that dominate the horizon of townships and informal settlements. Under dry Highveld conditions, particularly during the windy winter months, fine dust can be lifted from tailings surfaces and carried into nearby communities. Residents may inhale respirable dust containing crystalline silica and, in some cases, low concentrations of uranium and other metals associated with gold-bearing ore. Assessing the health risks of such exposure requires not only measurements of dust concentration but also a clear picture of how long, and in what settings, people are actually exposed to whatever the wind carries off the dumps.</p>
<p>That second ingredient is precisely what time-activity data provide, and it is precisely what has been missing for the communities of the West Rand. Exposure assessment in environmental epidemiology depends fundamentally on the product of concentration and duration: a person who spends twelve hours a day outdoors near a dust source faces a very different exposure profile from someone who works in an office across town and sleeps behind closed windows. Yet regulatory models and risk assessments in South Africa, as in many countries, have often relied on generic assumptions imported from international guidelines, typically European or North American time budgets that assume substantial time indoors, in sealed buildings, with mechanical ventilation. Such assumptions map poorly onto communities where many homes are informal structures, where cooking and socializing happen outdoors, where unemployment keeps large numbers of people at home all day, and where children play on unpaved ground close to the tailings themselves.</p>
<p>The research team set out to replace those assumptions with locally observed data. Their study focused on residential communities situated in proximity to tailings storage facilities along the West Rand, the western arm of the Witwatersrand gold field that runs through municipalities such as Merafong and the areas around Randfontein and Westonaria. Participants across a range of age groups were asked to document and recall how they spent their time across a representative day, capturing the categories of activity that exposure scientists use to partition daily life: time indoors at home, time indoors elsewhere such as school or work, time outdoors near the residence, time spent further afield, and time in transit. By collecting this information separately for children of different ages, working-age adults, and older residents, the study was able to construct age-stratified time budgets rather than a single community average.</p>
<p>The age-stratified approach matters because exposure risk is not distributed evenly across a lifetime. Infants and young children breathe more air per unit of body weight than adults, their respiratory tracts are still developing, and their behaviors, crawling on floors, playing in dust, hand-to-mouth contact, can amplify contact with contaminated soil and particulates. School-age children spend large portions of the day in classrooms that may or may not offer protection from outdoor dust, and many walk routes to and from school that pass close to tailings footprints. Adults of working age may be away from the residential exposure zone for much of the day, or, where unemployment is high, may remain in it continuously. Elderly residents, particularly those with pre-existing respiratory or cardiovascular conditions, are among the most vulnerable to particulate pollution yet may spend nearly all of their time within a few hundred meters of home. Without age-specific data, a risk model that averages across these very different patterns will underestimate exposure for some groups and overestimate it for others.</p>
<p>While the detailed numerical results reside in the full publication, the study&#8217;s contribution can be understood at two levels. At the level of raw evidence, it provides measured, locally grounded estimates of the hours per day that West Rand residents of different ages spend in locations and microenvironments relevant to tailings-derived dust exposure. At the level of method, it demonstrates a practical protocol for gathering such data in resource-constrained, high-exposure settings, where survey-based recall and structured questionnaires are often the only feasible instruments. Studies of this kind commonly reveal that total time outdoors near the home is substantially higher than default values assumed in international exposure models, particularly for children and for adults who are not formally employed, and that time in enclosed, mechanically ventilated environments is correspondingly lower. The West Rand findings are significant precisely because they anchor risk calculations in the actual rhythms of life in mining-adjacent communities rather than in borrowed assumptions.</p>
<p>The broader context makes the work urgent. The Witwatersrand has produced gold since 1886, and the region&#8217;s legacy tailings footprint extends across hundreds of square kilometers, much of it now surrounded or penetrated by residential development that expanded during and after apartheid-era planning, when Black communities were frequently located on marginal land close to mine dumps. Re-mining operations, in which companies reprocess old tailings to extract residual gold, add a contemporary layer of activity: trucks, conveyors, and processing plants that can re-suspend dust from deposits that had partially stabilized. Community organizations and environmental justice groups on the West Rand have for years raised concerns about respiratory illness, silicosis-like symptoms, and the long shadow of mining waste, while regulatory attention to residential proximity has grown through frameworks such as South Africa&#8217;s National Environmental Management Act and guidelines addressing buffer distances around tailings facilities. Sound policy in this contested space depends on defensible exposure estimates, and defensible exposure estimates depend on exactly the kind of time-activity data this study supplies.</p>
<p>The findings also speak to an international audience of exposure scientists, because time-activity patterns are among the most context-dependent variables in all of environmental health research. A time budget measured in a North American suburb, with its sealed houses, air conditioning, and car commutes, is simply a different object from one measured in a settlement of informal dwellings where daily life unfolds outdoors. Researchers in the exposure sciences have increasingly recognized that microenvironment models, which calculate total exposure as the sum of concentrations multiplied by time spent in each distinct setting, are only as good as the time-location inputs they receive. Studies from low- and middle-income countries remain underrepresented in this literature relative to the size of the populations potentially affected, which makes locally generated datasets from places like the West Rand valuable well beyond their immediate geography. They offer reference points for other mining-affected regions of southern Africa, and for the wider Global South, where tailings facilities and residential communities frequently coexist.</p>
<p>For residents themselves, the practical significance lies in what follows from measurement. Age-specific time budgets can inform where and when dust-control interventions will deliver the greatest benefit: rehabilitating tailings surfaces with vegetation or covers, adjusting re-mining activities during high-wind seasons, considering buffer zones in land-use planning, and targeting school and household-level measures, such as improved ventilation practices and dust-suppression around play areas, toward the groups whose daily routines place them most directly in the exposure pathway. Public health authorities can use the same data to refine health risk assessments and to prioritize environmental monitoring locations. Community advocates gain a documented, quantified account of how mining infrastructure shapes the daily lives of those living in its shadow, evidence that can carry weight in consultations, licensing processes, and debates over land use.</p>
<p>The study also underscores a deceptively simple point that recurs throughout exposure science: people are not passive receptors of pollution, and the dose they receive reflects the texture of their days. Understanding that texture, hour by hour and age group by age group, is an unglamorous but essential foundation for protecting public health in landscapes shaped by extraction. For the communities of the West Rand, where gold mine waste has been a neighbor for generations, having their actual patterns of movement and activity captured in the peer-reviewed literature represents a step toward risk assessments that see them as they are. It is a reminder that the path from a mine dump to a person&#8217;s lungs runs not only through the air, but through the ordinary details of where people live, work, learn, and play, and that measuring those details is where credible environmental health protection begins.</p>
<p>As gold mining continues its long retreat across the Witwatersrand, the waste it leaves behind will outlast the industry itself, and the populations living alongside that waste will continue to grow. Research that documents, with precision, how those populations inhabit their environment converts a legacy of neglect into an evidence base for action. The age-specific time-spent patterns reported for the West Rand provide a template for how such evidence can be gathered and a foundation on which dust management, urban planning, and public health interventions can now be built, in South Africa and in every other region where communities and mine tailings share the same ground.</p>
<p><strong>Subject of Research:</strong> Age-specific time-spent patterns among residents living near gold mine tailings storage facilities in the West Rand, South Africa</p>
<p><strong>Article Title:</strong> Age-specific time-spent patterns among residents living near gold mine tailings storage facilities in the West Rand, South Africa</p>
<p><strong>Article References:</strong> Kalumbi, L. R., Masekameni, M. D., Utembe, W., &amp; Brouwer, D. (2026). Age-specific time-spent patterns among residents living near gold mine tailings storage facilities in the West Rand, South Africa. <em>Journal of Exposure Science &amp;amp; Environmental Epidemiology</em>. <a href="https://doi.org/10.1038/s41370-026-00972-6" rel="noopener noreferrer">https://doi.org/10.1038/s41370-026-00972-6</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1038/s41370-026-00972-6" rel="noopener noreferrer">10.1038/s41370-026-00972-6</a></p>
<p><strong>Keywords:</strong> Age-specific, time-spent, patterns, residents, living, near, gold, mine, tailings, storage, facilities, West</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">193142</post-id>	</item>
		<item>
		<title>Gender differences in coping strategies and mental health outcomes among people living with chronic medical conditions</title>
		<link>https://scienmag.com/gender-differences-in-coping-strategies-and-mental-health-outcomes-among-people-living-with-chronic-medical-conditions/</link>
		
		<dc:creator><![CDATA[Glenn Wilkins]]></dc:creator>
		<pubDate>Thu, 03 Sep 2026 17:30:03 +0000</pubDate>
				<category><![CDATA[Social Science]]></category>
		<category><![CDATA[chronic]]></category>
		<category><![CDATA[chronic disease management]]></category>
		<category><![CDATA[conditions]]></category>
		<category><![CDATA[coping]]></category>
		<category><![CDATA[coping strategies for long-term illnesses]]></category>
		<category><![CDATA[depression and anxiety in chronic patients]]></category>
		<category><![CDATA[differences]]></category>
		<category><![CDATA[gender]]></category>
		<category><![CDATA[gender differences in coping]]></category>
		<category><![CDATA[gender disparities in mental health]]></category>
		<category><![CDATA[Health]]></category>
		<category><![CDATA[healthcare challenges in low-income countries]]></category>
		<category><![CDATA[impact of chronic illnesses on psychological well-being]]></category>
		<category><![CDATA[living]]></category>
		<category><![CDATA[long-term psychological effects of chronic medical conditions]]></category>
		<category><![CDATA[medical]]></category>
		<category><![CDATA[mental]]></category>
		<category><![CDATA[mental health assessment in Ghana]]></category>
		<category><![CDATA[mental health outcomes]]></category>
		<category><![CDATA[outcomes]]></category>
		<category><![CDATA[people]]></category>
		<category><![CDATA[psychological distress in chronic illness]]></category>
		<category><![CDATA[strategies]]></category>
		<category><![CDATA[stress levels among chronic disease patients]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=186498</guid>

					<description><![CDATA[None Living with a long-term medical condition such as hypertension or diabetes is rarely only a physical experience. The daily demands of monitoring symptoms, adhering to medication regimens, attending clinic appointments, and adjusting to lifestyle restrictions create a persistent psychological]]></description>
										<content:encoded><![CDATA[<p>None<br />
Living with a long-term medical condition such as hypertension or diabetes is rarely only a physical experience. The daily demands of monitoring symptoms, adhering to medication regimens, attending clinic appointments, and adjusting to lifestyle restrictions create a persistent psychological load that can accumulate over years of illness. The recent study conducted in the Central Region of Ghana among 457 patients receiving care at two public hospitals offers a window into how heavy that load can become. Using the Depression, Anxiety, and Stress Scale, known as DASS-21, the researchers documented a strikingly high burden of psychological distress across the sample. Stress reached the severe level for 187 participants, representing 40.9 percent, while anxiety at the extremely severe level affected 307 participants, or 67.2 percent of the sample. Depression was most frequently classified as extremely severe among 202 participants, equivalent to 44.2 percent, with a further 132 participants, or 28.9 percent, experiencing moderate depression.</p>
<p>These figures deserve careful reflection because they come from a group of people whose primary reason for visiting the hospital was the management of a chronic physical illness rather than a mental health concern. In many low- and middle-income countries, chronic disease clinics are structured around biomedical monitoring: blood pressure readings, blood glucose measurements, prescription refills, and brief consultations. Psychological suffering in such settings can remain invisible unless clinicians actively ask about it. The pattern observed in this study suggests that distress is not an occasional complication of chronic illness but a common companion to it. When more than two thirds of a sample reports extremely severe anxiety, the finding points to a systemic gap in care rather than an isolated clinical problem.</p>
<p>The study also examined how participants coped with illness-related challenges, drawing on the Africultural Coping Systems Inventory, a measure designed to capture coping strategies rooted in African cultural contexts. This choice of instrument is significant. Much of the coping literature has been developed in Western settings and tends to emphasize individual-oriented strategies such as problem-focused planning or cognitive reframing. The Africultural Coping Systems Inventory instead recognizes approaches that are commonly observed in African communities, including collective coping, in which family members, friends, and community networks share the burden of a problem, and cognitive-emotional debriefing, in which individuals work through their feelings by talking them out with others. Measuring these strategies acknowledges that coping is a culturally embedded behavior, not a universal script.</p>
<p>Gender differences emerged in both distress and coping. Female participants reported significantly higher depression, anxiety, and stress scores than male participants, and the effect sizes fell in the moderate-to-large range, indicating differences that are not merely statistical artifacts but meaningful disparities in lived experience. Male participants, by contrast, reported significantly greater use of collective coping and cognitive-emotional debriefing, although the effect sizes here were small. This asymmetry in magnitude is noteworthy. The gender gap in psychological distress was substantial, while the gender gap in coping strategies, though statistically reliable, was more modest. In other words, women in this sample were carrying considerably more emotional weight, and the coping differences detected did not appear large enough on their own to explain that burden fully.</p>
<p>Several lines of reasoning, supported by broader scientific understanding of chronic disease and mental health, help contextualize these findings. Hypertension and diabetes are both conditions that require sustained self-management, and the demands of that management interact with social and economic circumstances. Women in many households assume caregiving responsibilities not only for themselves but for children, partners, and older relatives, which can compress the time and energy available for managing their own health. Dietary recommendations, medication schedules, and clinic visits may be harder to follow when a person is also responsible for feeding a family or working in informal employment without sick leave. Economic vulnerability can also amplify the stress of a condition that requires regular medication, since interruptions in supply or affordability are common in resource-constrained health systems.</p>
<p>The finding of extremely severe anxiety in a majority of participants also invites attention to the biological and psychological interplay between chronic metabolic or cardiovascular disease and emotional states. Anxiety and stress activate physiological pathways that can affect blood pressure and glycemic control, creating a potential feedback loop in which poor mental health worsens the physical condition, which in turn deepens distress. Depression is similarly consequential: it is associated with reduced medication adherence, poorer dietary self-care, and less engagement with follow-up care, all of which can compromise long-term outcomes in hypertension and diabetes. Recognizing this bidirectional relationship strengthens the argument, made by the study&#8217;s authors, that routine mental health screening should be embedded within chronic disease clinics rather than treated as a separate service that patients must seek out on their own.</p>
<p>Screening, however, is only a first step. Identification of distress must be linked to accessible psychosocial support, and the study&#8217;s findings about coping strategies offer guidance on what such support should look like. Because men in the sample leaned on collective coping and cognitive-emotional debriefing, interventions that mobilize family and community structures may resonate more effectively than purely individual approaches. Support groups organized through existing chronic disease clinics, peer-led discussion sessions, and involvement of household members in counseling could build on strategies that patients already find natural. Culturally relevant care of this kind respects the social fabric through which many Ghanaians navigate illness, rather than importing models that assume an isolated, self-reliant patient.</p>
<p>The higher distress reported by women suggests that gender-sensitive care must go beyond identical treatment for all. It requires attention to the specific pressures women face, which may include economic dependence, caregiving overload, and, in some contexts, limited autonomy in health decisions. Health workers could be trained to ask about these circumstances during routine visits, and referral pathways to counseling or social services could be established within the hospitals where patients already receive care. Task-shifting approaches, in which nurses or trained lay counselors deliver basic psychological interventions, have been explored in various low-resource settings and may offer a practical route to expanding mental health support without requiring large numbers of specialist psychiatrists or psychologists.</p>
<p>The study&#8217;s methodology also merits consideration when interpreting its results. As a cross-sectional investigation, it captured a single moment in time for each participant, which means it can document associations between gender, coping, and distress but cannot establish causal direction. It remains possible, for example, that higher distress shapes how people cope rather than the reverse, or that both are influenced by unmeasured factors such as disease duration, severity, income, or social support quality. The reliance on self-report measures introduces the possibility of response bias, and the recruitment of patients from two public hospitals in one region means the findings may not generalize to people managing chronic conditions in private care, in rural communities distant from hospitals, or in other countries. DASS-21 is a screening tool that categorizes symptom severity but is not itself a diagnostic instrument, so the reported percentages reflect symptom burden rather than clinical diagnoses of depressive or anxiety disorders.</p>
<p>Even with these caveats, the scale of the distress documented is difficult to dismiss. The analytic approach, using descriptive statistics and independent t-tests conducted in Jamovi statistical software, was straightforward and transparent, and the moderation of claims about coping differences through small effect sizes reflects a careful reading of the data. The open access publication of the work, carried in Discover Social Science and Health, makes the evidence available to practitioners, policymakers, and researchers in Ghana and beyond, which is particularly valuable for a topic that has received limited attention in resource-constrained settings.</p>
<p>For clinicians, the most immediate implication is the value of asking. A brief, validated screening question about mood or worry during a routine hypertension or diabetes visit costs little and can uncover suffering that patients may not volunteer. For health system planners, the findings argue for integrating mental health services into chronic disease care, a model sometimes described as collaborative or integrated care, so that psychological support becomes a routine component of managing conditions that patients will live with for decades. For communities and families, the findings highlight the role that collective coping already plays and the potential to strengthen it deliberately.</p>
<p>For researchers, the study opens several avenues. Longitudinal designs could clarify how coping strategies and distress influence each other over the course of chronic illness, and how clinical outcomes such as blood pressure control or glycemic stability relate to mental health over time. Qualitative work could illuminate what severe anxiety feels like for a patient managing diabetes in a context of medication shortages, or how women experience the competing demands of illness and family responsibility. Intervention studies could test whether culturally grounded psychosocial support reduces distress and improves self-management.</p>
<p>Ultimately, the study underscores that chronic medical conditions and mental health are inseparable dimensions of the same human experience. The 457 patients who shared their experiences in two hospitals in Ghana&#8217;s Central Region reveal a population carrying a heavy and unevenly distributed psychological burden. Women bear more of the distress; men, on average, draw somewhat more on collective and debriefing strategies. Neither pattern can be addressed by biomedical care alone. A health response that treats the blood pressure reading and the glucose value as the whole story will miss the anxiety, depression, and stress documented here. A response that includes routine screening, gender-sensitive support, and culturally relevant psychosocial care would align chronic disease treatment with the full reality of patients&#8217; lives.</p>
<p>The authors&#8217; conclusion, that mental health screening and gender-sensitive, culturally relevant psychosocial support should be considered within chronic disease clinics, is a practical and evidence-based recommendation. Its implementation would require training, resources, and coordination, but the alternative is a system in which the majority of patients with chronic illness experience extreme anxiety without anyone asking about it. This study provides the local evidence needed to begin changing that.</p>
<p><strong>Subject of Research:</strong> Gender differences in coping strategies and mental health outcomes among people living with chronic medical conditions</p>
<p><strong>Article Title:</strong> Gender differences in coping strategies and mental health outcomes among people living with chronic medical conditions</p>
<p><strong>Article References:</strong> Ninnoni, J. P. K., Commey, I. T., Harmah, E. B., Amoadu, M., &amp; Opoku-Danso, R. (2026). Gender differences in coping strategies and mental health outcomes among people living with chronic medical conditions. <em>Discover Social Science and Health</em>. <a href="https://doi.org/10.1007/s44155-026-00479-3" rel="noopener noreferrer">https://doi.org/10.1007/s44155-026-00479-3</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s44155-026-00479-3" rel="noopener noreferrer">10.1007/s44155-026-00479-3</a></p>
<p><strong>Keywords:</strong> Gender, differences, coping, strategies, mental, health, outcomes, people, living, chronic, medical, conditions</p>
]]></content:encoded>
					
		
		
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