Victor, Janice

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https://hdl.handle.net/10133/7093

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Browsing Victor, Janice by Author "Awosoga, Olu A."

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    Sociodemographic determinants of mobility decline among community-dwelling older adults: findings from the Canadian longitudinal study on ageing
    (SpringerNature, 2025) Onyeso, Ogochukwu K.; Alumona, Chiedozie J.; Odole, Adesola C.; Victor, Janice; Doan, Jon; Awosoga, Olu A.
    Background Mobility is fundamental to healthy ageing and quality of life. Mobility decline has been associated with functional impairment, falls, disability, dependency, and death among older adults. We explored the sociodemographic determinants of mobility decline among community-dwelling older Canadians. Methods This study was a secondary analysis of a six-year follow-up of the Canadian Longitudinal Study on Ageing (CLSA). Our analysis was based on 3882 community-dwelling older adults 65 years or older whose mobility was measured using timed-up and go (TUG) and 4-meter walk (4MWT) tests at baseline and follow-ups 1 and 2 after three- and six-year intervals, respectively. We analysed the cross-sectional and longitudinal association, main and interaction effects of the participants’ sociodemographic characteristics on mobility decline using chi-square, Pearson’s correlation, mixed-design repeated measures ANOVA, and bivariate and multivariate linear regression tests. Results At baseline, 52% of the participants were female, 70.4% were married, and the average age was 68.82 ± 2.78 years. Mean TUG and 4MWT scores were 9.59 ± 1.98 s and 4.29 ± 0.95 s, respectively. There was a strong positive longitudinal correlation between TUG and 4MWT (r = 0.65 to 0.75, p < 0.001), indicating concurrent validity of 4MWT. The multivariate linear regression (for TUG) showed that older age (β = 0.088, p < 0.001), being a female (β=-0.035, p < 0.001), retired (β=-0.058, p < 0.001), Canadian born (β=-0.046, p < 0.001), non-Caucasian (β=-0.063, p < 0.001), tenant (β = 0.050, p < 0.001), having no spouse/partner (β=-0.057, p < 0.001), household income of $50,000-$99,999 (β = 0.039, p < 0.001), wealth/investment lower than $50,000 (β=-0.089, p < 0.001), lower social status (β=-0.018,p = 0.025), secondary education and below (β = 0.043, p < 0.001), and living in certain provinces compared to others, were significant predictors of a six-year mobility decline. Conclusion Our study underscored the impact of modifiable and non-modifiable sociodemographic determinants of mobility trajectory. There is a need for nuanced ageing policies that support mobility in older adults, considering sociodemographic inequalities through equitable resource distribution, including people of lower socioeconomic backgrounds.
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    Sociodemographic factors in older adults’ gait speed decline: a gender disaggregate growth curve analysis of the Ibadan Longitudinal Study of Ageing
    (Sage, 2025) Onyeso, Ogochukwu K.; Alumona, Chiedozie J.; Ojagbemi, Akin; Onyeso, Kelechi M.; Odole, Adesola C.; Victor, Janice; Doan, Jon; Bello, Toyin; Gureje, Oye; Awosoga, Olu A.
    Background Gait speed is an important predictor of older adults’ well-being. We estimated the influence of sociodemographic factors on the gait speed decline of community-dwelling older Nigerians. Methods Using the Ibadan Study of Ageing (2007, 2008, and 2009 cycles), we completed a gender disaggregate analysis of sociodemographic influences on participants’ gait speed trajectory using mixed-design ANOVA and growth curve analysis. Results At baseline, 53.2% of participants were female, 61.9% were married, with an average age of 75.5 ± 6.8 years and gait speed of 0.96 ± 0.32 m/s. Gender-specific models showed slower gait speed decline in men (β = −0.05, p < .001) compared to women (β = −0.09, p < .001). Widowhood (β = −0.07, p = .001) for women, high socioeconomic status (β = −0.01, p = .009) for men, and chronic disease burden for women (β = −0.02, p = .010) and men (β = −0.03, p = .008) were significant predictors of gait speed decline. Conclusion Addressing culture-related widowhood and women’s vulnerabilities, improving health coverage, and promoting lifestyle modifications may mitigate mobility decline among older Nigerians.