2014
DOI: 10.1136/oemed-2014-102352
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Metabolic disease and shift work: Is there an association? An analysis of NHANES data for 2007–2008: Table 1

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Cited by 5 publications
(5 citation statements)
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“…Based on these review papers published in 1999 and 2011, few studies have examined the effect of shift work on diabetes or inflammation. Non-daytime shift work (e.g., night shift) was associated with an increased risk of hypertriglyceridemia, but the effects of non-daytime shift work on body habitus (e.g., body mass index, overweight, obese) and cholesterol were not consistently associated with each other, which is consistent with a recent (2014) epidemiological study using data from the National Health and Nutrition Examination Survey (NHANES) [3]. Recently (2014), Wang et al performed a meta-analysis among 13 studies, and concluded that night shift work is associated with an increased risk of metabolic syndrome [4], which is consistent with their other recent (2014) meta-analysis demonstrating an increased risk of breast cancer among night-shift workers [5].…”
Section: Introductionsupporting
confidence: 78%
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“…Based on these review papers published in 1999 and 2011, few studies have examined the effect of shift work on diabetes or inflammation. Non-daytime shift work (e.g., night shift) was associated with an increased risk of hypertriglyceridemia, but the effects of non-daytime shift work on body habitus (e.g., body mass index, overweight, obese) and cholesterol were not consistently associated with each other, which is consistent with a recent (2014) epidemiological study using data from the National Health and Nutrition Examination Survey (NHANES) [3]. Recently (2014), Wang et al performed a meta-analysis among 13 studies, and concluded that night shift work is associated with an increased risk of metabolic syndrome [4], which is consistent with their other recent (2014) meta-analysis demonstrating an increased risk of breast cancer among night-shift workers [5].…”
Section: Introductionsupporting
confidence: 78%
“…Further, I chose not to statistically control for triglycerides (known to be influenced by work shift) as only a subsample of participants were tested for fasting triglycerides. And although employed in other NHANES studies [3,29], another limitation is the self-report nature of the shift work information. Major strengths of this study include the novel investigation (shift work on RDW), employing a national sample of U.S. adults, and including a comprehensive set of covariates in the analytical models.…”
Section: Discussionmentioning
confidence: 99%
“…For example, information on duration in years and frequency (e.g., how many night shifts per month) was not available. However, several publications have used measures of SW from NHANES to examine several outcomes including prostate specific antigen and metabolic syndrome (Flynn-Evans, Mucci, Stevens, & Lockley, 2013; Santhanam, Driscoll, Gress, & Khthir, 2014; Wirth, Burch, Shivappa, Steck, et al, 2014). It should be noted that differences in population characteristics were observed between those excluded due to lack of information compared with those included in the analyses.…”
Section: Discussionmentioning
confidence: 99%
“…Three categories emerged: permanent night shifts (PN; n = 14), rotational shifts including nights (R + N; n = 28) and rotational shifts without nights (R-N; n = 4). In some cases, the type of schedule was not well explicit [14,22,28,37] or the population of SWs resulted from a combination of different schedules [15,48,50,56]. Such cases were labelled as a fourth category "Not Specified" (NS; n = 8).…”
Section: Study Characteristicsmentioning
confidence: 99%