Background:The prevalence of multimorbidity is increasing,with a notable shift towards younger age groups.Methods:Convenience sampling was employed to select 15,988 young and middle-aged adults in Chongqing as the stu...Background:The prevalence of multimorbidity is increasing,with a notable shift towards younger age groups.Methods:Convenience sampling was employed to select 15,988 young and middle-aged adults in Chongqing as the study population.The Apriori algorithm was used to identify the multimorbidity patterns within this population,while an unordered binary logistic regression model was applied to assess the association between sleep,diet and the risk of multimorbidity.Results:The study population had an average age of 39.2±10.1 years.Apriori association rules revealed that the most prevalent binary chronic disease multimorbidity pattern was dyslipidaemia+hypertension(14.78%),while the most common ternary chronic disease multimorbidity pattern was diabetes+dyslipidaemia+hypertension(9.66%).The logistic regression analysis revealed that a lower rating of sleep quality was associated with an elevated risk of multimorbidity(odds ratio(OR)=1.17,95%confidence interval(CI):1.01,1.36).Individuals who adhere to a meat-based diet(OR=1.45,95%CI:1.25,1.68)and those with elevated salt intake(OR=1.22,95%CI:1.01,1.47)were also observed to have an increased risk of multimorbidity.Additionally,a greater likelihood of multimorbidity was observed among those following a spicy diet(OR=1.3,95%CI:1.11,1.52)and consuming more oil(OR=1.16,95%CI:1.01,1.33).Conclusion:A poor sleep quality and a dietary preference for meat-based,salt,spicy and oils were found to be associated with an increased risk of multimorbidity progression among young and middle-aged populations.It is recommended that young and middle-aged adults should pay attention not only to sleep duration but also to sleep quality and improve dietary habits to reduce the likelihood of multimorbidity.展开更多
基金supported by Chongqing Natural Science Foundation General Project(cstc2021jcyi msxmX0069)Chongqing Social Science Planning Project(2022NDYB196).
文摘Background:The prevalence of multimorbidity is increasing,with a notable shift towards younger age groups.Methods:Convenience sampling was employed to select 15,988 young and middle-aged adults in Chongqing as the study population.The Apriori algorithm was used to identify the multimorbidity patterns within this population,while an unordered binary logistic regression model was applied to assess the association between sleep,diet and the risk of multimorbidity.Results:The study population had an average age of 39.2±10.1 years.Apriori association rules revealed that the most prevalent binary chronic disease multimorbidity pattern was dyslipidaemia+hypertension(14.78%),while the most common ternary chronic disease multimorbidity pattern was diabetes+dyslipidaemia+hypertension(9.66%).The logistic regression analysis revealed that a lower rating of sleep quality was associated with an elevated risk of multimorbidity(odds ratio(OR)=1.17,95%confidence interval(CI):1.01,1.36).Individuals who adhere to a meat-based diet(OR=1.45,95%CI:1.25,1.68)and those with elevated salt intake(OR=1.22,95%CI:1.01,1.47)were also observed to have an increased risk of multimorbidity.Additionally,a greater likelihood of multimorbidity was observed among those following a spicy diet(OR=1.3,95%CI:1.11,1.52)and consuming more oil(OR=1.16,95%CI:1.01,1.33).Conclusion:A poor sleep quality and a dietary preference for meat-based,salt,spicy and oils were found to be associated with an increased risk of multimorbidity progression among young and middle-aged populations.It is recommended that young and middle-aged adults should pay attention not only to sleep duration but also to sleep quality and improve dietary habits to reduce the likelihood of multimorbidity.