伴有多种慢性疾病的超重和肥胖患者久坐状态的预测因素:一项队列研究

IF 2.3 Q2 MEDICINE, GENERAL & INTERNAL Pragmatic and Observational Research Pub Date : 2017-10-03 eCollection Date: 2017-01-01 DOI:10.2147/POR.S139097

Mark H Joven, Ivana T Croghan, Stephanie M Quigg, Jon O Ebbert, Paul Y Takahashi

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引用次数: 0

摘要

目的:步行可改善多病肥胖患者的健康状况。我们旨在确定与患者和方法相关的预测因素:我们对125名体重指数>25 kg/m2且合并症≥7的成年患者进行了一项队列研究。我们评估了65岁和性别的潜在预测因素。结果:平均(范围)年龄为63.6(20.3 ~ 89.8)岁。每日步数为2 (OR 2.69, 95% CI: 1.20-6.26)。结论:高风险患者可能需要新的增加步行的模型。

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Predictors of sedentary status in overweight and obese patients with multiple chronic conditions: a cohort study.

Purpose: Walking may improve health in obese patients with multimorbidity. We aimed to identify predictors associated with achieving <5000 steps per day after 4 months.

Patients and methods: We conducted a cohort study of 125 adult patients with a body mass index >25 kg/m² and ≥7 comorbidities. We evaluated potential predictors for <5000 steps per day using logistic regression and adjusting for age >65 years and sex.

Results: The mean (range) age was 63.6 (20.3-89.8) years. Daily step counts <5000 at baseline showed the highest risk of <5000 daily steps at 4 months (odds ratio [OR] 31.82, 95% confidence interval [CI]: 12.14-95.50). Other significant characteristics were physical quality of life (OR 6.21, 95% CI: 2.32-18.54), gait speed <1 m/s (OR 2.57, 95% CI: 1.18-5.71), age ≥65 years (OR 2.21, 95% CI: 1.05-4.77), waist circumference ≥102 cm (OR 2.48, 95% CI: 1.05-6.06), and body mass index ≥30 kg/m² (OR 2.69, 95% CI: 1.20-6.26).

Conclusion: New models to increase walking may be required for higher-risk patients.

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Pragmatic and Observational Research MEDICINE, GENERAL & INTERNAL-

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期刊介绍： Pragmatic and Observational Research is an international, peer-reviewed, open-access journal that publishes data from studies designed to closely reflect medical interventions in real-world clinical practice, providing insights beyond classical randomized controlled trials (RCTs). While RCTs maximize internal validity for cause-and-effect relationships, they often represent only specific patient groups. This journal aims to complement such studies by providing data that better mirrors real-world patients and the usage of medicines, thus informing guidelines and enhancing the applicability of research findings across diverse patient populations encountered in everyday clinical practice.