OBJECTIVE: To examine the role of health conditions, socioeconomic, and socioenvironmental factors in explaining gender differences in physical disability among older adults. METHOD: We compared 412 women and 328 men residing in underprivileged communities in Lebanon on their activities of daily living (ADL), instrumental activities of daily living (IADL), and physical tasks (PT). Binary logistic regression analyses adjusting for possible explanatory covariates were conducted sequentially. RESULTS: Women showed higher prevalence rates of ADL, IADL, and PT compared to men. Gender disparities in ADL disability were explained by chronic-disease risk factors and health conditions (OR = 1.46; 95% CI = 0.94-2.25). The odds of disability in IADL and PT remained significantly higher for women compared to men after accounting for all available covariates. DISCUSSION: These results suggest underlying differences in functional status between women and men, yet, may have been influenced by the sensitivity of the measures to the social context and gendered environment surrounding daily activities.
OBJECTIVE: To examine the role of health conditions, socioeconomic, and socioenvironmental factors in explaining gender differences in physical disability among older adults. METHOD: We compared 412 women and 328 men residing in underprivileged communities in Lebanon on their activities of daily living (ADL), instrumental activities of daily living (IADL), and physical tasks (PT). Binary logistic regression analyses adjusting for possible explanatory covariates were conducted sequentially. RESULTS:Women showed higher prevalence rates of ADL, IADL, and PT compared to men. Gender disparities in ADL disability were explained by chronic-disease risk factors and health conditions (OR = 1.46; 95% CI = 0.94-2.25). The odds of disability in IADL and PT remained significantly higher for women compared to men after accounting for all available covariates. DISCUSSION: These results suggest underlying differences in functional status between women and men, yet, may have been influenced by the sensitivity of the measures to the social context and gendered environment surrounding daily activities.
Authors: Carlos Díaz-Venegas; Rafael Samper-Ternent; Alejandra Michaels-Obregón; Rebeca Wong Journal: Aging Ment Health Date: 2018-11-18 Impact factor: 3.658
Authors: Yee Mang Chan; Norhafizah Sahril; Ying Ying Chan; Nor' Ain Ab Wahab; Norliza Shamsuddin; Muhd Zulfadli Hafiz Ismail Journal: Int J Environ Res Public Health Date: 2021-06-10 Impact factor: 3.390
Authors: Elsa M Orellano-Colón; Erick L Suárez-Pérez; Marta Rivero-Méndez; Claudia X Boneu-Meléndez; Nelson Varas-Díaz; Mauricio Lizama-Troncoso; Ivonne Z Jiménez-Velázquez; Arelí León-Astor; Jeffrey W Jutai Journal: BMC Geriatr Date: 2021-07-10 Impact factor: 3.921
Authors: Samia Djemâa Mechakra-Tahiri; Ellen E Freeman; Slim Haddad; Elodie Samson; Maria Victoria Zunzunegui Journal: BMC Public Health Date: 2012-08-02 Impact factor: 3.295