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	<title>WHOQOL-BREF quality of life assessment &#8211; Science</title>
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	<title>WHOQOL-BREF quality of life assessment &#8211; Science</title>
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		<title>Resilience and Quality of Life in Quebec Adults During COVID-19</title>
		<link>https://scienmag.com/resilience-and-quality-of-life-in-quebec-adults-during-covid-19/</link>
		
		<dc:creator><![CDATA[Courtney Benton]]></dc:creator>
		<pubDate>Sun, 06 Sep 2026 20:53:57 +0000</pubDate>
				<category><![CDATA[Social Science]]></category>
		<category><![CDATA[Brief Resilience Scale in pandemic research]]></category>
		<category><![CDATA[Brief Resilience Scale measurement]]></category>
		<category><![CDATA[COVID-19 and human resilience]]></category>
		<category><![CDATA[COVID-19 pandemic impact on mental health]]></category>
		<category><![CDATA[COVID-19's impact on urban and rural populations]]></category>
		<category><![CDATA[cross-sectional health research during COVID-19]]></category>
		<category><![CDATA[cross-sectional survey on COVID-19 mental health]]></category>
		<category><![CDATA[effects of social isolation on mental health]]></category>
		<category><![CDATA[effects of social isolation on wellbeing]]></category>
		<category><![CDATA[online and telephone health surveys]]></category>
		<category><![CDATA[online and telephone surveys for mental health studies]]></category>
		<category><![CDATA[pandemic-related economic uncertainty and wellbeing]]></category>
		<category><![CDATA[pandemic-related psychological resilience factors]]></category>
		<category><![CDATA[predictors of mental health resilience during pandemics]]></category>
		<category><![CDATA[Quebec adult wellbeing during pandemic]]></category>
		<category><![CDATA[Quebec adults COVID-19 study]]></category>
		<category><![CDATA[regional differences in COVID-19 psychological impact]]></category>
		<category><![CDATA[regional differences in pandemic resilience]]></category>
		<category><![CDATA[resilience and quality of life during COVID-19]]></category>
		<category><![CDATA[urban vs rural resilience during COVID-]]></category>
		<category><![CDATA[WHOQOL-BREF quality of life assessment]]></category>
		<guid isPermaLink="false">https://scienmag.com/resilience-and-quality-of-life-in-quebec-adults-during-covid-19/</guid>

					<description><![CDATA[When the World Health Organization declared COVID-19 a pandemic in March 2020, few aspects of daily life escaped disruption. Lockdowns, school closures, economic uncertainty and social isolation reshaped routines across the globe, and researchers have spent the years since working to understand how those upheavals affected human wellbeing. A new study from Quebec, Canada, now [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>When the World Health Organization declared COVID-19 a pandemic in March 2020, few aspects of daily life escaped disruption. Lockdowns, school closures, economic uncertainty and social isolation reshaped routines across the globe, and researchers have spent the years since working to understand how those upheavals affected human wellbeing. A new study from Quebec, Canada, now offers one of the most detailed portraits yet of how adults in one region fared, and its central finding is striking: resilience, more than almost any other measured characteristic, predicted how well people maintained their quality of life.</p>
<p>The research, a cross-sectional survey of 1,088 adults living across several regions of the Canadian province, was published in the journal Applied Research in Quality of Life. Led by Marie Claude Lehoux of the Infrastructure de Recherche en Prévention et Promotion de la Santé and colleagues at Université du Québec à Trois-Rivières, Université du Québec à Montréal and partner institutions, the study measured quality of life using the World Health Organization Quality of Life Questionnaire, known as the WHOQOL-BREF, and resilience using the Brief Resilience Scale, or BRS. Participants completed the questionnaires online, on paper or by telephone, allowing the team to reach respondents across urban, rural and remote communities.</p>
<p>The WHOQOL-BREF, developed by an international WHO field trial and validated in dozens of languages, assesses quality of life across four domains: physical health, psychological health, social relationships and environment. Each domain is scored on a transformed scale from 0 to 100, with higher scores indicating better perceived quality of life. The Brief Resilience Scale, introduced by psychologist Bruce Smith and colleagues in 2008, takes a different approach from most resilience instruments. Rather than cataloguing traits or resources that might help a person withstand adversity, it measures what researchers call &#8220;bounce-back&#8221; capacity, the ability to recover from stress, using just six items rated on a one-to-five scale. This distinction matters, because the Quebec study was designed to test whether the simple capacity to recover, rather than a broader constellation of coping resources, consistently tracked with wellbeing during a shared crisis.</p>
<p>The results paint a nuanced picture. Quebec adults reported mean scores of 73.4 for physical health, 67.5 for psychological health, 66.8 for social relationships and 77.6 for environment. Mean resilience was 3.6 on the five-point scale, a level the authors characterize as generally favorable. In other words, even amid a global health emergency, most respondents rated their lives reasonably well, with environmental conditions, housing, financial security, access to services, rated highest and social relationships rated lowest. That pattern is intuitive: the very domain most directly targeted by pandemic restrictions, social connection, was the one that suffered most.</p>
<p>Yet the averages conceal substantial variation, and it is here that the study delivers its most consequential findings. Quality of life and resilience both differed significantly according to gender, income, education, marital status and health conditions, with all comparisons reaching a statistical threshold of p ≤ 0.001. Participants without mental health disorders or chronic physical conditions reported markedly more favorable outcomes on both measures. The finding echoes a broader literature on health equity: pandemic-era research has repeatedly shown that crises do not distribute their burdens evenly, and this Quebec dataset confirms that pre-existing health status was among the strongest dividing lines.</p>
<p>To move beyond simple group comparisons, the researchers employed forward stepwise multiple regression analyses, a statistical technique that builds a predictive model by adding variables one at a time and retaining only those that contribute meaningfully to explaining the outcome. This approach allowed the team to determine which characteristics independently predicted quality-of-life scores while holding other factors constant. The result was unambiguous: resilience emerged as a significant positive predictor across all four WHOQOL-BREF domains. No other variable showed that kind of consistency. Mental health status, musculoskeletal pain, income, education and occupation also predicted quality of life, but their effects varied by domain, whereas the capacity to bounce back from stress appeared to buoy wellbeing everywhere it was measured.</p>
<p>The connection between resilience and the physical health domain deserves particular attention. Musculoskeletal pain, which includes back, joint and muscle pain, independently predicted lower quality-of-life scores, and prior research has linked low resilience to heightened pain affect and greater disability in chronic pain populations. During the pandemic, when access to physiotherapy, elective procedures and routine care was curtailed, individuals managing chronic pain may have faced a compounding disadvantage. The Quebec findings suggest that psychological recovery capacity partly buffered these physical burdens, consistent with scoping reviews showing resilience acting as a protective factor against pain-related disability and psychological distress.</p>
<p>Socioeconomic gradients were equally evident. Higher income and greater educational attainment were both associated with better quality of life, findings that align with longitudinal evidence linking financial strain to poorer physical and mental health and with research showing education&#8217;s protective effect against depressive symptoms. In Quebec, as elsewhere, the pandemic amplified existing inequalities: workers in lower-paid service jobs faced greater exposure risk and job insecurity, while those with higher education were more likely to work remotely and retain income stability. Economic analyses of pandemic impacts have documented exactly this pattern, with income losses concentrated among lower-wage earners. The new study confirms that these economic fault lines left measurable traces in how Quebecers evaluated their own lives.</p>
<p>Marital and partnered status also mattered, with married participants generally reporting more favorable outcomes, a result consistent with a long tradition of research showing that stable partnerships provide both practical support and a buffer against stress. Similarly, the environment domain&#8217;s high scores may reflect Quebec&#8217;s relatively robust social safety net, including income supports, universal health insurance and pandemic relief programs, which cushioned some of the economic shocks experienced in countries with weaker protections. Comparative studies conducted in Austria, Italy, Saudi Arabia and Egypt during the same period reported quality-of-life scores that varied considerably, suggesting that national and regional policy context shapes how populations weather a crisis.</p>
<p>The study&#8217;s demographic profile warrants careful interpretation. Nearly 77 percent of participants were women, and the mean age was 43.5 years with a standard deviation of 14.8. The authors note that recruitment relied on community networks, including the Réseau Communautés rurales et éloignées en santé, which specializes in rural and remote populations, an intentional effort to capture voices beyond major urban centers. Still, the overrepresentation of women and the voluntary nature of participation mean the sample cannot be assumed to mirror Quebec&#8217;s general population. Women have reported higher stress and lower resilience during the pandemic in several prior investigations, partly reflecting their disproportionate share of caregiving responsibilities, so the sample&#8217;s composition could influence the observed means.</p>
<p>Because the design is cross-sectional, capturing a snapshot in time rather than following individuals over months or years, the study cannot establish causal direction. It is possible that high resilience causes better quality of life, but it is equally plausible that better life circumstances foster resilience, or that unmeasured factors, personality traits, social capital, prior adversity, influence both. The authors are careful on this point. What the regression analyses establish is prediction, not causation: knowing a person&#8217;s resilience score adds genuine explanatory power for their quality of life, but the mechanisms connecting the two remain an open question for longitudinal research.</p>
<p>Nevertheless, the practical implications are significant. If the capacity to recover from stress is consistently associated with wellbeing across every domain of life, even during an unprecedented crisis, then interventions designed to build resilience become a plausible public health strategy. Previous studies have shown that resilience can be strengthened through targeted programs, including cognitive-behavioral techniques, mindfulness training and social support interventions, and resilience has been linked to better outcomes in conditions ranging from multiple sclerosis and cancer to inflammatory bowel disease and severe mental illness. The Quebec study extends this logic from clinical populations to the general public, suggesting that resilience-building may deserve a place in pandemic preparedness planning alongside vaccines and hospital capacity.</p>
<p>The timing of the research also matters. Data collection occurred during the active health crisis, when restrictions and uncertainties were part of daily life, not in retrospect. This contemporaneous measurement reduces the recall bias that affects much pandemic research conducted years after the fact. The study was supported by the Fonds de Développement Académique du Réseau and involved collaborations spanning the CIUSSS de la Mauricie-et-Centre-du-Québec, the Réseau intersectoriel de recherche en santé de l&#8217;Université du Québec and the Institut national de la recherche scientifique, reflecting an unusually broad institutional partnership focused on population health across Quebec&#8217;s varied geography.</p>
<p>As public health authorities worldwide draft preparedness frameworks for future emergencies, the Quebec data offer a clear message: the people most at risk of diminished wellbeing during a crisis are those already carrying burdens of mental illness, chronic pain, low income and limited education, and the single most consistent protective factor is the ability to bounce back. Protecting quality of life in the next emergency, the study suggests, will require both shoring up the social determinants that leave vulnerable groups exposed and investing in the psychological resources that help everyone recover when disruption inevitably arrives.</p>
<div class="scienmag-article-metadata"><strong>Subject of Research:</strong> Quality of life and resilience among adults in Quebec, Canada, during the COVID-19 health crisis</p>
<p><strong>Article Title:</strong> Quality of Life and Resilience Among Adults in Quebec During the COVID-19 Health Crisis: A Cross-Sectional Study</p>
<p><strong>Article References:</strong> Lehoux, M. C., Houle, M., Rochette, S., Morin, M. H., Vaillancourt, C., Descarreaux, M., Barbeau, B., &amp; Houle, J. (2026). Quality of Life and Resilience Among Adults in Quebec During the COVID-19 Health Crisis: A Cross-Sectional Study. <em>Applied Research in Quality of Life</em>. <a href="https://doi.org/10.1007/s11482-026-10668-6" target="_blank" rel="noopener noreferrer">https://doi.org/10.1007/s11482-026-10668-6</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s11482-026-10668-6" target="_blank" rel="noopener noreferrer">10.1007/s11482-026-10668-6</a></p>
<p><strong>Keywords:</strong> Quality of life, Resilience, COVID-19, WHOQOL-BREF, Brief Resilience Scale, Sociodemographic factors, Chronic conditions, Mental health, Population health, Cross-sectional study</p>
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