Predictors of multimorbidity among the Kurdish population living in the Northwest of Iran
Background: There is limited information about the predictors of multimorbidity (MM) among ethnic minority older adults in Iran. This study aimed to examine the impact of sociodemographic and lifestyle factors on the prevalence of MM, among older Kurdish people living in the Northwest of Iran. Methods: The current study was conducted in Bukan city located in West Azarbaijan province in the Northwest of Iran. Stratified random sampling was used to select people aged 50 + from eight health centres in Bukan from Oct 2017 to Dec 2018. Those who accepted the invitation and completed the baseline questionnaire were included in this study (N=1493; Response rate 75%). A range of different factors, including sociodemographic and lifestyle factors as well as self-reported chronic conditions, was obtained by trained interviewers. MM was defined as “coexistence of two or more chronic conditions in the same person”. Descriptive analysis and logistic regression were performed to compare the prevalence of MM according to different factors. Results: Over a third of the participants (36.6%) had ≥2 chronic conditions and 15.7% had ≥3 chronic conditions. Hypertension, diabetes, musculoskeletal conditions, fatty liver, and heart diseases were common chronic conditions. In a fully adjusted logistic regression model, older age (ORadj=1.92, 95% CI: 1.48-2.48), being female (ORadj=1.49, 95%CI: 1.14-1.94), living without a spouse (ORadj=1.81, 95%CI: 1.34-2.44), and inadequate consumption of fruit and vegetables (ORadj=1.33, 95%CI: 1.06-1.67) were associated with the higher prevalence of MM. Conclusion: This study found that the prevalence of MM is relatively high among older Kurdish adults. Sociodemographic differences in the prevalence of MM might be of interest to the health care system, and the prevalence of common chronic conditions in this study may highlight the need for lifestyle modifications in this community.
Posted 26 Dec, 2019
On 11 Jul, 2020
On 12 May, 2020
On 01 May, 2020
On 30 Apr, 2020
On 30 Apr, 2020
On 30 Apr, 2020
Received 30 Apr, 2020
Received 30 Apr, 2020
On 04 Feb, 2020
Received 12 Jan, 2020
Invitations sent on 10 Jan, 2020
On 10 Jan, 2020
On 22 Dec, 2019
On 21 Dec, 2019
On 21 Dec, 2019
On 18 Nov, 2019
Received 09 Nov, 2019
Received 09 Nov, 2019
On 01 Nov, 2019
On 01 Nov, 2019
On 01 Nov, 2019
Invitations sent on 14 Oct, 2019
On 11 Oct, 2019
On 10 Oct, 2019
On 10 Oct, 2019
On 04 Oct, 2019
Predictors of multimorbidity among the Kurdish population living in the Northwest of Iran
Posted 26 Dec, 2019
On 11 Jul, 2020
On 12 May, 2020
On 01 May, 2020
On 30 Apr, 2020
On 30 Apr, 2020
On 30 Apr, 2020
Received 30 Apr, 2020
Received 30 Apr, 2020
On 04 Feb, 2020
Received 12 Jan, 2020
Invitations sent on 10 Jan, 2020
On 10 Jan, 2020
On 22 Dec, 2019
On 21 Dec, 2019
On 21 Dec, 2019
On 18 Nov, 2019
Received 09 Nov, 2019
Received 09 Nov, 2019
On 01 Nov, 2019
On 01 Nov, 2019
On 01 Nov, 2019
Invitations sent on 14 Oct, 2019
On 11 Oct, 2019
On 10 Oct, 2019
On 10 Oct, 2019
On 04 Oct, 2019
Background: There is limited information about the predictors of multimorbidity (MM) among ethnic minority older adults in Iran. This study aimed to examine the impact of sociodemographic and lifestyle factors on the prevalence of MM, among older Kurdish people living in the Northwest of Iran. Methods: The current study was conducted in Bukan city located in West Azarbaijan province in the Northwest of Iran. Stratified random sampling was used to select people aged 50 + from eight health centres in Bukan from Oct 2017 to Dec 2018. Those who accepted the invitation and completed the baseline questionnaire were included in this study (N=1493; Response rate 75%). A range of different factors, including sociodemographic and lifestyle factors as well as self-reported chronic conditions, was obtained by trained interviewers. MM was defined as “coexistence of two or more chronic conditions in the same person”. Descriptive analysis and logistic regression were performed to compare the prevalence of MM according to different factors. Results: Over a third of the participants (36.6%) had ≥2 chronic conditions and 15.7% had ≥3 chronic conditions. Hypertension, diabetes, musculoskeletal conditions, fatty liver, and heart diseases were common chronic conditions. In a fully adjusted logistic regression model, older age (ORadj=1.92, 95% CI: 1.48-2.48), being female (ORadj=1.49, 95%CI: 1.14-1.94), living without a spouse (ORadj=1.81, 95%CI: 1.34-2.44), and inadequate consumption of fruit and vegetables (ORadj=1.33, 95%CI: 1.06-1.67) were associated with the higher prevalence of MM. Conclusion: This study found that the prevalence of MM is relatively high among older Kurdish adults. Sociodemographic differences in the prevalence of MM might be of interest to the health care system, and the prevalence of common chronic conditions in this study may highlight the need for lifestyle modifications in this community.