Chala et al. BMC Public Health (2017) 17:762 DOI 10.1186/s12889-017-4763-0
RESEARCH ARTICLE
Open Access
Prevalence of disability and associated factors in Dabat Health and Demographic Surveillance System site, northwest Ethiopia Mulugeta Bayisa Chala1*, Solomon Mekonnen2,6, Gashaw Andargie3,6, Yigzaw Kebede4,6, Mezgebu Yitayal3,6, Kassahun Alemu4,6, Tadesse Awoke4,6, Mamo Wubeshet5,6, Temesgen Azmeraw6, Melkamu Birku6, Amare Tariku2, Abebaw Gebeyehu7, Alemayehu Shimeka3 and Zemichael Gizaw5
Abstract Background: Despite the high burden of disability in Ethiopia, little is known about it, particularly in the study area. Hence, this study aimed to investigate the prevalence and factors associated with disability at Dabat Health and Demographic Surveillance System (HDSS) site, northwest Ethiopia. Method: A population-based study was conducted from October to December 2014 at Dabat HDSS site. A total of 67,395 people were included in the study. The multivariable binary logistic regression analysis was employed to identify factors associated with disability. The Adjusted Odds Ratio (AOR) with a 95% Confidence Interval (CI) was estimated to show the strength of association. A p-value of
RESEARCH ARTICLE
Open Access
Prevalence of disability and associated factors in Dabat Health and Demographic Surveillance System site, northwest Ethiopia Mulugeta Bayisa Chala1*, Solomon Mekonnen2,6, Gashaw Andargie3,6, Yigzaw Kebede4,6, Mezgebu Yitayal3,6, Kassahun Alemu4,6, Tadesse Awoke4,6, Mamo Wubeshet5,6, Temesgen Azmeraw6, Melkamu Birku6, Amare Tariku2, Abebaw Gebeyehu7, Alemayehu Shimeka3 and Zemichael Gizaw5
Abstract Background: Despite the high burden of disability in Ethiopia, little is known about it, particularly in the study area. Hence, this study aimed to investigate the prevalence and factors associated with disability at Dabat Health and Demographic Surveillance System (HDSS) site, northwest Ethiopia. Method: A population-based study was conducted from October to December 2014 at Dabat HDSS site. A total of 67,395 people were included in the study. The multivariable binary logistic regression analysis was employed to identify factors associated with disability. The Adjusted Odds Ratio (AOR) with a 95% Confidence Interval (CI) was estimated to show the strength of association. A p-value of
