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Long work hours is associated with suboptimal glycemic control among US workers with diabetes.
MedLine Citation:
PMID:  21246586     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
BACKGROUND: Increasing numbers of US workers are diabetic. We assessed the relationship between glycemic control and work hours and type of occupation among employed US adults with type 2 diabetes. METHODS: Data were obtained from the 1999-2004 National Health and Nutrition Examination Survey (NHANES). A representative sample of employed US adults ≥20 years with self-reported type 2 diabetes (n = 369) was used. Two dichotomous glycemic control indicators, based on various HbA1c level cut-points, were used as dependent variables in weighted logistic regression analyses with adjustment for confounders. RESULTS: Adults working over 40 hr/week were more likely to have suboptimal glycemic control (HbA1c ≥ 7%) compared to those working 20 hr or less (odds ratio = 5.09; 95% confidence interval: [1.38-18.76]). CONCLUSIONS: Work-related factors, such as number of hours worked, may affect the ability of adults with type 2 diabetes to reach and maintain glycemic control goals. These factors should be considered in the development of workplace policies and accommodations for the increasing number of workers with type 2 diabetes. Am. J. Ind. Med. © 2011 Wiley-Liss, Inc.
Authors:
Evelyn P Davila; Hermes Florez; Mary Jo Trepka; Lora E Fleming; Theophile Niyonsenga; David J Lee; Jai Parkash
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-1-18
Journal Detail:
Title:  American journal of industrial medicine     Volume:  -     ISSN:  1097-0274     ISO Abbreviation:  -     Publication Date:  2011 Jan 
Date Detail:
Created Date:  2011-1-19     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8101110     Medline TA:  Am J Ind Med     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2011 Wiley-Liss, Inc.
Affiliation:
Department of Epidemiology and Public Health, University of Miami Miller School of Medicine, Miami, Florida; Department of Epidemiology and Biostatistics, Robert Stempel College of Public Health and Social Work, Florida International University, Miami, Florida. iyl7@cdc.gov.
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