TY  - JOUR
AU  - Chen, Ying
AU  - Pan, Mingming
AU  - He, Yaling
AU  - Dong, Xiaokang
AU  - Hu, Ze
AU  - Hou, Jian
AU  - Bao, Yining
AU  - Yang, Jing
AU  - Yuchi, Yinghao
AU  - Li, Ruiying
AU  - Zhu, Linghui
AU  - Kang, Ning
AU  - Liao, Wei
AU  - Li, Shuoyi
AU  - Wang, Chongjian
AU  - Zhang, Lei
PY  - 2023
DA  - 2023/5/22
TI  - Disease Burden and the Accumulation of Multimorbidity of Noncommunicable Diseases in a Rural Population in Henan, China: Cross-sectional Study
JO  - JMIR Public Health Surveill
SP  - e43381
VL  - 9
KW  - multimorbidity
KW  - prevalence
KW  - associating factors
KW  - noncommunicable disease accumulation
KW  - NCD accumulation
KW  - public health
AB  - Background: Multimorbidity causes substantial disease and economic burdens on individuals and the health care system. Objective: This study aimed to explore the disease burden of multimorbidity and the potential correlations among chronic noncommunicable diseases (NCDs) in a rural population in Henan, China. Methods: A cross-sectional analysis was performed using the baseline survey of the Henan Rural Cohort Study. Multimorbidity was defined as the simultaneous occurrence of at least two NCDs in a participant. This study examined the multimorbidity pattern of 6 NCDs, including hypertension, dyslipidemia, type 2 diabetes mellitus, coronary heart disease, stroke, and hyperuricemia. Results: From July 2015 to September 2017, a total of 38,807 participants (aged 18-79 years; 15,354 men and 23,453 women) were included in this study. The overall population prevalence of multimorbidity was 28.1% (10,899/38,807), and the multimorbidity of hypertension and dyslipidemia was the most common (8.1%, 3153/38,807). Aging, higher BMI, and unfavorable lifestyles were significantly associated with a higher risk of multimorbidity (multinomial logistic regression, all P<.05). The analysis of the mean age at diagnosis suggested a cascade of interrelated NCDs and their accumulation over time. Compared with participants without 2 conditional NCDs, participants with 1 conditional NCD would have higher odds of another NCD (1.2-2.5; all P<.05), and those with 2 conditional NCDs would elevate the odds of the third NCD to 1.4-3.5 (binary logistic regression, all P<.05). Conclusions: Our findings indicate a plausible tendency for the coexistence and accumulation of NCDs in a rural population in Henan, China. Early prevention of multimorbidity is essential to reduce the NCD burden in the rural population. 
SN  - 2369-2960
UR  - https://publichealth.jmir.org/2023/1/e43381
UR  - https://doi.org/10.2196/43381
UR  - http://www.ncbi.nlm.nih.gov/pubmed/37213192
DO  - 10.2196/43381
ID  - info:doi/10.2196/43381
ER  -