Journal of Obesity and Overweight最新文献

Predictors of Obstructive Sleep Apnea Risk among Blacks with Metabolic Syndrome. 黑人代谢综合征患者阻塞性睡眠呼吸暂停风险的预测因素

Journal of Obesity and Overweight Pub Date : 2015-05-27 DOI: 10.15744/2455-7633.1.104

A. Rogers, J. Ravenell, M. Donat, A. Sexias, C. Ogedegbe, Samy I McFarlane, G. Jean-Louis

{"title":"Predictors of Obstructive Sleep Apnea Risk among Blacks with Metabolic Syndrome.","authors":"A. Rogers, J. Ravenell, M. Donat, A. Sexias, C. Ogedegbe, Samy I McFarlane, G. Jean-Louis","doi":"10.15744/2455-7633.1.104","DOIUrl":"https://doi.org/10.15744/2455-7633.1.104","url":null,"abstract":"INTRODUCTION\u0000Identification of risk factors for obstructive sleep apnea (OSA) is important to enable comprehensive intervention to reduce OSA-related cardiovascular disease (CVD). The metabolic syndrome outcome study (MetSO) provides a unique opportunity to address these factors. This study investigated risk of OSA among blacks with metabolic syndrome.\u0000\u0000\u0000METHODS\u0000The present study utilized data from MetSO, an NIH-funded cohort study of blacks with metabolic syndrome. A total of 1,035 patients provided data for the analysis. These included sociodemographic factors, health risks, and medical history. Physician-diagnosed conditions were obtained using an electronic medical record system (Allscripts, Sunrise Enterprise). Patients were diagnosed with metabolic syndrome using criteria articulated in the joint interim statement for harmonizing the metabolic syndrome. Patients with a score ≥6 on the Apnea Risk Evaluation System (ARES) questionnaire were considered at risk for OSA. Obesity is defined by body mass index (BMI ≥ 30 kg/m2).\u0000\u0000\u0000RESULTS\u0000Of the 1,035 patients screened in the MetSO cohort, 48.9% were at high risk for OSA. Using multivariate-adjusted logistic regression analysis, we observed that obesity was the strongest predictor of OSA risk (OR=1.59, 95%CI=1.24-2.04, p<0.0001). This finding remained significant even after adjustment for known covariates including blood pressure, low-density lipoprotein, high-density lipoprotein, and glucose levels (OR=1.44, 95%CI=1.11-1.86, p<0.001).\u0000\u0000\u0000CONCLUSION\u0000Blacks in the MetSO cohort are at greater OSA risk, relative to the adult population in developed countries. Consistent with previous observations, obesity proved the strongest independent predictor of OSA risk among blacks with metabolic syndrome.","PeriodicalId":91331,"journal":{"name":"Journal of Obesity and Overweight","volume":"19 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84030804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 12

Objectively coding intervention fidelity during a phone-based obesity prevention study. 在一项基于手机的肥胖预防研究中，客观编码干预保真度。

Journal of Obesity and Overweight Pub Date : 2015-05-26 DOI: 10.15744/2455-7633.1.102

Meghan M. JaKa, Elisabeth M. Seburg, Alison M. Roeder, N. Sherwood

{"title":"Objectively coding intervention fidelity during a phone-based obesity prevention study.","authors":"Meghan M. JaKa, Elisabeth M. Seburg, Alison M. Roeder, N. Sherwood","doi":"10.15744/2455-7633.1.102","DOIUrl":"https://doi.org/10.15744/2455-7633.1.102","url":null,"abstract":"BACKGROUND\u0000Childhood obesity prevention studies have yielded disappointing results. Understanding intervention fidelity is necessary in explaining why interventions are (or are not) successful and ultimately improving future intervention. In spite of this, intervention fidelity it is not consistently reported in the obesity prevention literature. The purpose of the current study was to develop and utilize a coding protocol to objectively assess intervention fidelity in a phone-based obesity prevention study for parents of preschool-aged children.\u0000\u0000\u0000FINDINGS\u0000Both interventionists and independent coders completed session fidelity measures including time spent on target areas (media use, physical activity, etc.) and components of goal setting quality. Coders also rated participant engagement. Agreement between ratings by interventionists and coders, fidelity levels and changes in fidelity components over time are presented. Coders and interventionists showed high agreement when reporting time spent discussing different target areas. Interventionists consistently rated themselves higher than independent coders on measures of goal quality. Coder ratings of session quality were initially high, but some components declined slightly across the eight sessions.\u0000\u0000\u0000CONCLUSIONS\u0000Future directions for intervention fidelity measurement and analysis are discussed, including utilizing changes in fidelity measures over time to predict study outcomes. Obtaining a more in-depth understanding of intervention fidelity has the potential to strengthen obesity interventions.","PeriodicalId":91331,"journal":{"name":"Journal of Obesity and Overweight","volume":"31 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80129880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Objectively coding intervention fidelity during a phone-based obesity prevention study. 在一项基于电话的肥胖预防研究中，对干预的忠实性进行客观编码。

Journal of Obesity and Overweight Pub Date : 2015-01-01 Epub Date: 2015-05-26

Meghan M JaKa, Elisabeth M Seburg, Alison M Roeder, Nancy E Sherwood

{"title":"Objectively coding intervention fidelity during a phone-based obesity prevention study.","authors":"Meghan M JaKa, Elisabeth M Seburg, Alison M Roeder, Nancy E Sherwood","doi":"","DOIUrl":"","url":null,"abstract":"Background: Childhood obesity prevention studies have yielded disappointing results. Understanding intervention fidelity is necessary in explaining why interventions are (or are not) successful and ultimately improving future intervention. In spite of this, intervention fidelity it is not consistently reported in the obesity prevention literature. The purpose of the current study was to develop and utilize a coding protocol to objectively assess intervention fidelity in a phone-based obesity prevention study for parents of preschool-aged children.Findings: Both interventionists and independent coders completed session fidelity measures including time spent on target areas (media use, physical activity, etc.) and components of goal setting quality. Coders also rated participant engagement. Agreement between ratings by interventionists and coders, fidelity levels and changes in fidelity components over time are presented. Coders and interventionists showed high agreement when reporting time spent discussing different target areas. Interventionists consistently rated themselves higher than independent coders on measures of goal quality. Coder ratings of session quality were initially high, but some components declined slightly across the eight sessions.Conclusions: Future directions for intervention fidelity measurement and analysis are discussed, including utilizing changes in fidelity measures over time to predict study outcomes. Obtaining a more in-depth understanding of intervention fidelity has the potential to strengthen obesity interventions.","PeriodicalId":91331,"journal":{"name":"Journal of Obesity and Overweight","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4662548/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141072293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Predictors of Obstructive Sleep Apnea Risk among Blacks with Metabolic Syndrome. 患有代谢综合征的黑人中阻塞性睡眠呼吸暂停风险的预测因素。

Journal of Obesity and Overweight Pub Date : 2015-01-01 Epub Date: 2015-05-27

A Rogers, J Ravenell, M Donat, A Sexias, C Ogedegbe, S I McFarlane, G Jean-Louis

{"title":"Predictors of Obstructive Sleep Apnea Risk among Blacks with Metabolic Syndrome.","authors":"A Rogers, J Ravenell, M Donat, A Sexias, C Ogedegbe, S I McFarlane, G Jean-Louis","doi":"","DOIUrl":"","url":null,"abstract":"Introduction: Identification of risk factors for obstructive sleep apnea (OSA) is important to enable comprehensive intervention to reduce OSA-related cardiovascular disease (CVD). The metabolic syndrome outcome study (MetSO) provides a unique opportunity to address these factors. This study investigated risk of OSA among blacks with metabolic syndrome.Methods: The present study utilized data from MetSO, an NIH-funded cohort study of blacks with metabolic syndrome. A total of 1,035 patients provided data for the analysis. These included sociodemographic factors, health risks, and medical history. Physician-diagnosed conditions were obtained using an electronic medical record system (Allscripts, Sunrise Enterprise). Patients were diagnosed with metabolic syndrome using criteria articulated in the joint interim statement for harmonizing the metabolic syndrome. Patients with a score ≥6 on the Apnea Risk Evaluation System (ARES) questionnaire were considered at risk for OSA. Obesity is defined by body mass index (BMI ≥ 30 kg/m2).Results: Of the 1,035 patients screened in the MetSO cohort, 48.9% were at high risk for OSA. Using multivariate-adjusted logistic regression analysis, we observed that obesity was the strongest predictor of OSA risk (OR=1.59, 95%CI=1.24-2.04, p<0.0001). This finding remained significant even after adjustment for known covariates including blood pressure, low-density lipoprotein, high-density lipoprotein, and glucose levels (OR=1.44, 95%CI=1.11-1.86, p<0.001).Conclusion: Blacks in the MetSO cohort are at greater OSA risk, relative to the adult population in developed countries. Consistent with previous observations, obesity proved the strongest independent predictor of OSA risk among blacks with metabolic syndrome.","PeriodicalId":91331,"journal":{"name":"Journal of Obesity and Overweight","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4664188/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140195254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0