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Definitions and Prevalence of Multimorbidity in Large Database Studies: A Scoping Review.大型数据库研究中多病种的定义和流行情况:范围综述。
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3
Multimorbidity patterns and their relationship to mortality in the US older adult population.美国老年人群体中的多种疾病模式及其与死亡率的关系。
PLoS One. 2021 Jan 20;16(1):e0245053. doi: 10.1371/journal.pone.0245053. eCollection 2021.
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Assessing the Quality and Appropriateness of Factor Solutions and Factor Score Estimates in Exploratory Item Factor Analysis.评估探索性项目因子分析中因子解和因子得分估计的质量与适宜性。
Educ Psychol Meas. 2018 Oct;78(5):762-780. doi: 10.1177/0013164417719308. Epub 2017 Jul 7.
5
Twelve-year clinical trajectories of multimorbidity in a population of older adults.十二年来老年人多病共存的临床轨迹。
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6
Association between obesity-related anthropometric indices and multimorbidity among older adults in Shandong, China: a cross-sectional study.中国山东老年人肥胖相关人体测量指标与多种疾病共存之间的关联:一项横断面研究。
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7
Adipose Tissue Distribution, Inflammation and Its Metabolic Consequences, Including Diabetes and Cardiovascular Disease.脂肪组织分布、炎症及其代谢后果,包括糖尿病和心血管疾病。
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8
Association of obesity measures and multimorbidity in Pakistan: findings from the IMPACT study.巴基斯坦肥胖测量指标与多种疾病的相关性:IMPACT 研究结果。
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Multimorbidity and complex multimorbidity in Brazilian rural workers.巴西农村劳动者的多种并存疾病和复杂多种并存疾病。
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The Impact of Obesity on Thyroid Autoimmunity and Dysfunction: A Systematic Review and Meta-Analysis.肥胖对甲状腺自身免疫和功能障碍的影响:系统评价和荟萃分析。
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体质指数、腰围与多种慢性病的横断面关联:研究。

Cross-sectional associations between body mass index, waist circumference, and multimorbidity: study.

机构信息

Instituto de Nutrição, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil.

Instituto de Medicina Social, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil.

出版信息

PeerJ. 2023 Feb 6;11:e14744. doi: 10.7717/peerj.14744. eCollection 2023.

DOI:10.7717/peerj.14744
PMID:36778147
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9910183/
Abstract

BACKGROUND

This study aimed (1) To investigate the association between the Body Mass Index (BMI) and waist circumference (WC) with multimorbidity (MM), and (2) To identify patterns of MM and investigate the relationship between BMI and WC with specific combinations of MM (patterns of MM).

METHODS

A cross-sectional study was conducted with 2,698 participants of the fourth phase of the Brazilian Longitudinal Study of Adult Health ( Study). MM was defined by the presence of two or more morbidities. MM patterns were identified by exploratory factor analysis based on tetrachoric correlations. Logistic regression models were used to assess associations (odds ratios (OR) with the respective confidence intervals (CI)).

RESULTS

Of the total number of participants, 39.5% were overweight and 30.0% were obese; 89.0% ( = 1,468) of women and 77.0% ( = 952) of men were abdominally obese. Indeed, 60.7% ( = 1,635) was identified with MM. For the category four or more morbidities, OR values of 5.98 (95% CI 4.84-7.13) and 7.48 (95% CI 6.14-8.18) were found for each point of increase in BMI, and 6.74 (95% CI 5.48-7.99) and 8.48 (95% CI 7.64-9.29) for each additional centimeter in the WC, for female and male, respectively. Five patterns of MM were identified: respiratory, osteoarticular, cardiometabolic, gastric, and thyroid diseases (56.4% of the total variance). Positive associations were found between BMI and patterns of cardiometabolic, osteoarticular, thyroid and gastric diseases (higher OR of 1.09 [95% CI 1.04-1.14]) and less pronounced between WC and patterns of cardiometabolic and osteoarticular (higher OR of 1.04 [95% CI 1.03-1.04]).

CONCLUSIONS

The results showed that an increase of both BMI and WC was associated with a higher number of morbidities and with patterns of cardiometabolic and osteoarticular diseases.

摘要

背景

本研究旨在:(1)探讨体重指数(BMI)和腰围(WC)与多种疾病(MM)之间的关系;(2)识别 MM 的模式,并研究 BMI 和 WC 与 MM 的特定组合(MM 模式)之间的关系。

方法

本横断面研究共纳入 2698 名巴西成人健康纵向研究第四阶段的参与者。MM 定义为两种或两种以上疾病的存在。基于四分相关的探索性因子分析确定 MM 模式。使用逻辑回归模型评估关联(比值比(OR)及其相应置信区间(CI))。

结果

在总参与者中,39.5%超重,30.0%肥胖;89.0%(n=1468)女性和 77.0%(n=952)男性腹部肥胖。事实上,60.7%(n=1635)患有 MM。对于四种或更多种疾病的类别,BMI 每增加一个点,女性和男性的 OR 值分别为 5.98(95%CI 4.84-7.13)和 7.48(95%CI 6.14-8.18),WC 每增加一厘米,女性和男性的 OR 值分别为 6.74(95%CI 5.48-7.99)和 8.48(95%CI 7.64-9.29)。共识别出 5 种 MM 模式:呼吸、骨关节炎、心血管代谢、胃和甲状腺疾病(总方差的 56.4%)。发现 BMI 与心血管代谢、骨关节炎、甲状腺和胃病模式之间存在正相关关系(OR 值为 1.09[95%CI 1.04-1.14]),而 WC 与心血管代谢和骨关节炎模式之间的相关性较弱(OR 值为 1.04[95%CI 1.03-1.04])。

结论

结果表明,BMI 和 WC 的增加与更多的疾病和心血管代谢及骨关节炎疾病模式有关。