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Assessment of factors predicting the nutritional status of geriatric people in Tabuk, Saudi Arabia
Published 2025-01-01“…Results of multivariate logistic regression analysis revealed that compared to married participants, widowed participants were at higher significant risk for malnutrition [adjusted odds ratio (aOR): 2.59, 95% confidence interval (CI): 1.01–6.85, P = 0.049]. …”
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102
Prevalence, Awareness, Treatment, Control, and the Associated Factors of Diabetes in an Iranian Kurdish Population
Published 2019-01-01“…Female gender (p<0.01), being older than 55 years, positive family history in the first-degree relatives (p<0.01), suffering from both hypertension and dyslipidemia (p<0.01), and obesity or overweight (p<0.005) were negatively associated with DM awareness. Being married and widowed (p<0.05 and <0.05) and a high BMI (p<0.01) were strong predictors of receiving treatment for DM. …”
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103
Sociodemographic predictors of flourishing among community older adults in China
Published 2025-01-01“…Interventions targeting older adults with poor economic conditions, lower educational levels, chronic diseases, limited social participation, and widowed or living alone are necessary.…”
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104
The Association of Pension Income with the Incidence of Type I Obesity among Retired Israelis
Published 2019-01-01“…Compared with other martial status categories, for widowed females, the projected probability of obesity and self-reporting on improved health conditions drops by 6.58% (p=0.0419) to 11.28% (p=0.0048) and 6.55% (p=0.0190) to 7.47% (p=0.0036), respectively. …”
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105
Uncovering women's healthcare access challenges in low- and middle-income countries using mixed effects modelling approach: Insights for achieving the Sustainable Development Goals...
Published 2025-01-01“…On the other hand, divorced/widowed women, having 1-2, and more than two under five, living in households with 6-10 family members and >10 members, female household heads, living in rural areas, women living in South/Central Africa, Middle East/North Africa, Europe/Central Asia, and living in Latin America/Caribbean were associated with higher odds of having problems accessing healthcare respectively.…”
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