Mark H Joven, Ivana T Croghan, Stephanie M Quigg, Jon O Ebbert, Paul Y Takahashi
{"title":"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","authors":"Mark H Joven, Ivana T Croghan, Stephanie M Quigg, Jon O Ebbert, Paul Y Takahashi","doi":"10.2147/POR.S139097","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>Walking may improve health in obese patients with multimorbidity. We aimed to identify predictors associated with achieving <5000 steps per day after 4 months.</p><p><strong>Patients and methods: </strong>We conducted a cohort study of 125 adult patients with a body mass index >25 kg/m<sup>2</sup> and ≥7 comorbidities. We evaluated potential predictors for <5000 steps per day using logistic regression and adjusting for age >65 years and sex.</p><p><strong>Results: </strong>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/m<sup>2</sup> (OR 2.69, 95% CI: 1.20-6.26).</p><p><strong>Conclusion: </strong>New models to increase walking may be required for higher-risk patients.</p>","PeriodicalId":20399,"journal":{"name":"Pragmatic and Observational Research","volume":"8 ","pages":"203-209"},"PeriodicalIF":2.3000,"publicationDate":"2017-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.2147/POR.S139097","citationCount":"0","resultStr":"{\"title\":\"Predictors of sedentary status in overweight and obese patients with multiple chronic conditions: a cohort study.\",\"authors\":\"Mark H Joven, Ivana T Croghan, Stephanie M Quigg, Jon O Ebbert, Paul Y Takahashi\",\"doi\":\"10.2147/POR.S139097\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>Walking may improve health in obese patients with multimorbidity. We aimed to identify predictors associated with achieving <5000 steps per day after 4 months.</p><p><strong>Patients and methods: </strong>We conducted a cohort study of 125 adult patients with a body mass index >25 kg/m<sup>2</sup> and ≥7 comorbidities. We evaluated potential predictors for <5000 steps per day using logistic regression and adjusting for age >65 years and sex.</p><p><strong>Results: </strong>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/m<sup>2</sup> (OR 2.69, 95% CI: 1.20-6.26).</p><p><strong>Conclusion: </strong>New models to increase walking may be required for higher-risk patients.</p>\",\"PeriodicalId\":20399,\"journal\":{\"name\":\"Pragmatic and Observational Research\",\"volume\":\"8 \",\"pages\":\"203-209\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2017-10-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.2147/POR.S139097\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Pragmatic and Observational Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2147/POR.S139097\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2017/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"MEDICINE, GENERAL & INTERNAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pragmatic and Observational Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2147/POR.S139097","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2017/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
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.
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.
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