Body mass index and multimorbidity risk: A systematic review and dose-response meta-analysis

被引:4
作者
Shan, Jun [1 ,2 ]
Yin, Rulan [3 ,4 ]
Panuthai, Sirirat [4 ]
机构
[1] Nantong Univ, Sch Nursing & Rehabil, Nantong, Peoples R China
[2] Chiang Mai Univ, Fac Nursing, CMU presidential Scholarship, Chiang Mai, Thailand
[3] Soochow Univ, Dept Nursing, Affiliated Hosp 1, Suzhou, Peoples R China
[4] Chiang Mai Univ, Fac Nursing, 110-406 Inthavaroros Rd, Chiangmai 50200, Thailand
关键词
Body mass index; Multimorbidity; Meta-analysis; Dose-response; CARDIOMETABOLIC MULTIMORBIDITY; ASSOCIATION; POPULATION; PREVALENCE; OBESITY; CARE; OVERWEIGHT; PATTERNS; COHORT;
D O I
10.1016/j.archger.2024.105418
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
Objective: To verify the dose-response relationship between body mass index (BMI) and multimorbidity risk. Methods: PubMed, CINAHL, and Embase were systematically studied until January 25, 2023. Original articles on BMI and multimorbidity risk were included. Random effects model and dose-response meta-analysis were used to estimate the pooled odds ratio (OR) with 95 % confidence interval (CI). Subgroup analysis was performed to explore potential heterogeneity. Results: A total of 43 studies involving 969,130 patients (94,978 with multimorbidity) were involved in the metaanalysis. In the longitudinal studies, the pooled results showed that, compared to being a normal BMI, being overweight was much similar with 1.32 times possibility of getting multimorbidity; in persons with obesity the risk was 1.93 times higher; and the risk decreased 0.80 times among underweight persons. Additionally, obesity was 1.75 times as likely to be multimorbidity than those non-obese persons. In the cross-sectional studies, the pooled results demonstrated that persons with overweight and obesity had a 1.38 -fold and 2.38 -fold risk for multimorbidity, respectively; and the risk decreased 0.90 times among underweight persons compared to those with normal BMI. Besides, obese people are 1.89 times more likely to have multimorbidity than non-obese people. Dose response analysis found the linear connection between BMI and multimorbidity risk ( P non-line- arity =0.762), that for each 1 kg/m 2 and 5 kg/m 2 increase in BMI, the multimorbidity risk increased by 6 % and 35 %, respectively. Conclusions: Multimorbidity increased linearly with an increase in BMI. Clinicians should pay attention to persons with abnormal weight, to help them achieve normal BMI.
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页数:15
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共 66 条
[51]   Multimorbidity and associated factors in Brazilian women aged 40 to 65 years: a population-based study [J].
Santos Machado, Vanessa de Souza ;
Ribeiro Valadares, Ana Lucia ;
da Costa-Paiva, Lucia Simoes ;
Moraes, Sirley S. ;
Pinto-Neto, Aarao Mendes .
MENOPAUSE-THE JOURNAL OF THE NORTH AMERICAN MENOPAUSE SOCIETY, 2012, 19 (05) :569-575
[52]   Associating modifiable lifestyle factors with multimorbidity in community dwelling individuals from mainland China [J].
Shao, Jing ;
Wang, Xiyi ;
Zou, Ping ;
Song, Peige ;
Chen, Dandan ;
Zhang, Hui ;
Tang, Leiwen ;
Huang, Qingmei ;
Ye, Zhihong .
EUROPEAN JOURNAL OF CARDIOVASCULAR NURSING, 2021, 20 (06) :556-564
[53]   Obesity, multiple chronic conditions, and the relationship with physical function: Data from the national health and aging trends survey [J].
Shirazi, Daniela ;
Haudenschild, Christian ;
Lynch, David H. ;
Fanous, Marco ;
Kahkoska, Anna R. ;
Jimenez, Daniel ;
Spangler, Hillary ;
Driesse, Tiffany ;
Batsis, John A. .
ARCHIVES OF GERONTOLOGY AND GERIATRICS, 2023, 107
[54]   Prevalence and predictors of co-occurring diabetes and hypertension in community-dwelling older adults [J].
Sims, Omar T. ;
Oh, Hyejung ;
Noh, Hyunjin ;
Melton, Pamela A. ;
Sheffield, Samantha ;
Ingram, Kacey ;
Sawyer, Patricia .
GERIATRICS & GERONTOLOGY INTERNATIONAL, 2018, 18 (09) :1356-1360
[55]  
Skou ST, 2022, NAT REV DIS PRIMERS, V8, DOI 10.1038/s41572-022-00376-4
[56]   Interaction of physical activity on the association of obesity-related measures with multimorbidity among older adults: a population-based cross-sectional study in India [J].
Srivastava, Shobhit ;
Joseph, Vinod K. J. ;
Dristhi, Drishti ;
Muhammad, T. .
BMJ OPEN, 2021, 11 (05)
[57]   Meta-analysis of observational studies in epidemiology - A proposal for reporting [J].
Stroup, DF ;
Berlin, JA ;
Morton, SC ;
Olkin, I ;
Williamson, GD ;
Rennie, D ;
Moher, D ;
Becker, BJ ;
Sipe, TA ;
Thacker, SB .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2000, 283 (15) :2008-2012
[58]   Utility of Anthropometric Measures in a Multiethnic Population: Their Association with Prevalent Diabetes, Hypertension and Other Chronic Disease Comorbidities [J].
Tarleton, Heather P. ;
Smith, Lisa V. ;
Zhang, Zuo-Feng ;
Kuo, Tony .
JOURNAL OF COMMUNITY HEALTH, 2014, 39 (03) :471-479
[59]   Prevalence, Awareness, Treatment and Control of Coexistence of Diabetes and Hypertension in Thai Population [J].
Tiptaradol, Siriwat ;
Aekplakorn, Wichai .
INTERNATIONAL JOURNAL OF HYPERTENSION, 2012, 2012
[60]   Prevalence and patterns of multimorbidity in northeastern China: a cross-sectional study [J].
Wang, S. B. ;
D'Arcy, C. ;
Yu, Y. Q. ;
Li, B. ;
Liu, Y. W. ;
Tao, Y. C. ;
Wu, Y. H. ;
Zhang, Q. Q. ;
Xu, Z. Q. ;
Fu, Y. L. ;
Kou, C. G. .
PUBLIC HEALTH, 2015, 129 (11) :1539-1546