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 meta-analysis. 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=0.762), that for each 1 kg/m and 5 kg/m 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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http://dx.doi.org/10.1016/j.archger.2024.105418 | DOI Listing |
Introduction: Understanding causal risk factors that contribute to the development of multimorbidity is essential for designing and targeting effective preventive strategies. Despite a large body of research in this field, there has been little critical discussion about the appropriateness of the various analytical approaches used. This proposed scoping review aims to summarise and appraise the analytical approaches used in the published literature that evaluated risk factors of multimorbidity and to provide guidance for researchers conducting analyses in this field.
View Article and Find Full Text PDFEnviron Pollut
January 2025
Institute of Social Development and Health Management, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China. Electronic address:
Long-term health risk assessments related to ambient fine particulate matter (PM) exposure have been more limited to general population but not towards individuals suffering from multimorbidity. While both multimorbidity and PM are independently linked to elevated mortality risk, their combined effects and interactions remain practically unexplored. A cross-cohort analysis was undertaken on data from 3 prospective cohorts, initially enrolling 869038 adults aged ≥18 years followed up during 2005-2022.
View Article and Find Full Text PDFCad Saude Publica
January 2025
Universidade Estadual de Campinas, Campinas, Brasil.
This study aims to examine the prevalence of abdominal obesity-dynapenia phenotype, identified by the presence of abdominal obesity and dynapenia, and understand its associated factors with a representative sample of the Brazilian population. Data were collected from the baseline of the Brazilian Longitudinal Study of Aging (ELSI-Brasil) 2015-2016. Abdominal obesity was determined by a waist-to-height ratio ≥ 0.
View Article and Find Full Text PDFChirurgie (Heidelb)
January 2025
Klinik für Allgemein- und Viszeralchirurgie, SRH Zentralklinikum Suhl, Albert-Schweitzer-Straße 2, 98527, Suhl, Deutschland.
Colorectal surgery in multimorbid patients requires a comprehensive interdisciplinary planning of the treatment approach, from preoperative to posthospital care, in order to minimize complications and improve the patient's outcome. Therefore, the integration of the outpatient and inpatient sectors is essential as is a perioperative interdisciplinary coordinated approach. Preoperatively, all possible risks of concomitant diseases must be considered and optimized if necessary.
View Article and Find Full Text PDFJACC Adv
February 2025
Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Background: Assessing individuals' risk of developing incident atrial fibrillation (AF) is important for making preventive and screening strategies.
Objectives: The performance of the mCHEST score for predicting incident AF has scarcely been evaluated, especially in a multi-ethnic population.
Methods: Participants from the MESA (Multi-Ethnic Study of Atherosclerosis were enrolled in the present study, which involved population of different ethnicities (Caucasian, African-American, Chinese-American, and Hispanic) aged between 45 and 84 from 6 communities in the United States.
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