Control of type 1 diabetes mellitus and shift work

Young, J.; Waclawski, Eugene; Spencer, Jeanne P

doi:10.1093/occmed/kqs176

Cited by 27 publications

(24 citation statements)

References 10 publications

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“…In this study, despite a significant reduction in HbA 1c value, only a minority of patients achieved HbA 1c level < 7.0% (53.0 mmol/mol) recommended by ADA . It is, unfortunately, in line with the results of many other studies conducted in a real‐life setting . The fear of hypoglycaemia is probably the most relevant factor limiting glycaemic management in diabetes .…”

Section: Discussionsupporting

confidence: 83%

The outcome of care in people with type 1 diabetes after switching to insulin glargine-based regimens in a real-life setting: a long-term observational study

Dąbrowski

2014

Int J Clin Pract

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Following switch from other basal insulins to insulin glargine in type 1 diabetic patients, glycaemic control significantly improved, with unchanged total insulin requirement and with low risk of severe hypoglycaemia. Weight gain and elevation of SBP observed in this study require special attention and educational efforts. In summary, insulin glargine can be recommended as an effective and safe basal insulin in type 1 diabetes in a real-life setting.

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Section: Discussionsupporting

confidence: 83%

The outcome of care in people with type 1 diabetes after switching to insulin glargine-based regimens in a real-life setting: a long-term observational study

Dąbrowski

2014

Int J Clin Pract

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“…These results were robust when adjusted for selection differences between the standard and the nonstandard shift workers. Our findings are consistent with existing literature on the detrimental health effects of nonstandard work schedules (Lin et al, ; Srivastava, ; Young et al, ).…”

Section: Discussionmentioning

confidence: 99%

“…Empirical studies have found that there are negative health consequences of nonstandard work schedules. Compared with standard daytime workers, employees working nonstandard hours are more likely to have health problems, for example stress (Bara & Arber, ), depression (Rosenbaum & Morett, ), negative mood (Gassman‐Pines, 2011), diabetes (Young, Waclawski, Young, & Spencer, ), and metabolic syndrome (Lin, Hsiao, & Chen, ). However, the findings have not always been consistent across studies (Figueiro & White, ; Vogel et al, ).…”

Section: Empirical Literature Reviewmentioning

confidence: 99%

The effects of nonstandard work schedules on workers' health: A mediating role of work‐to‐family conflict

Cho

2017

Int J Soc Welfare

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This study examined the relationship between nonstandard work schedules, work‐to‐family conflict, and health status in the USA adult population. Based on pooled data from the 2006, 2010, and 2014 General Social Survey (N = 4,108), this study found that nonstandard work schedules were associated with poor self‐rated health and increased days of poor physical and mental health. Also, results from the causal mediation analysis indicated that the relationship between nonstandard work schedules and health status was significantly mediated by work‐to‐family conflict. These findings suggest that work‐to‐family conflict may be an important mechanism through which nonstandard work schedules affect workers' health status.

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“…For example, while sleep efficiency was found to be lower in children with T1D compared with control children, hypoglycaemia during sleep significantly increased sleep efficiency (Pillar et al ., ). Limited data in T1D suggested that sleep disturbances, including short sleep duration (Borel et al ., ; Matejko et al ., ), sleeping difficulties (Bot et al ., ), OSA (Perfect et al ., ) and shift‐work (Young et al ., ), may play a role in glycaemic control but not consistently (van Dijk et al ., ).…”

Section: Introductionmentioning

confidence: 99%

Higher sleep variability is associated with poorer glycaemic control in patients with type 1 diabetes

Chontong

Saetung

Reutrakul

2016

Journal of Sleep Research

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Summary Sleep disturbances have been linked to insulin resistance and poor glycaemic control in patients with type 2 diabetes. However, the data are limited in type 1 diabetes. Recently, varying day‐to‐day sleep schedules, i.e. sleep variability, have been associated with adverse metabolic profile in healthy individuals. This study explored whether sleep variability affects glycaemic control and insulin requirement in type 1 diabetes. Forty‐one adult patients with type 1 diabetes wore an actigraphy for 5 nights. Standard deviation of sleep duration, efficiency and mid‐sleep time were sleep variability parameters. Sleep apnoea risk and self‐reported sleep quality were assessed by the Berlin questionnaire and Pittsburgh Sleep Quality Index. Haemoglobin A1c, diabetes complications and insulin regimen were obtained from medical records. After adjusting for neuropathic symptoms, sleep apnoea risk and poor self‐reported sleep quality, higher sleep variability was significantly associated with poorer glycaemic control (standard deviation of sleep duration, B = 0.100, P = 0.004; and standard deviation of mid‐sleep time, B = 0.068, P = 0.04). In addition, standard deviations of sleep duration and mid‐sleep time were highly correlated, suggesting that participants changed their sleep duration along with sleep timing. After adjusting for covariates, the standard deviation of sleep duration (P = 0.009) and standard deviation of mid‐sleep time (P = 0.012) were associated with higher insulin requirement. In summary, higher sleep variability, which likely reflects sleep deprivation alternating with sleep compensation along with shifts in their circadian timing, was associated with poorer glycaemic control and higher insulin requirement in patients with type 1 diabetes. Increased sleep regularity may improve metabolic control in type 1 diabetes.

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Control of type 1 diabetes mellitus and shift work

Cited by 27 publications

References 10 publications

The outcome of care in people with type 1 diabetes after switching to insulin glargine-based regimens in a real-life setting: a long-term observational study

The outcome of care in people with type 1 diabetes after switching to insulin glargine-based regimens in a real-life setting: a long-term observational study

The effects of nonstandard work schedules on workers' health: A mediating role of work‐to‐family conflict

Higher sleep variability is associated with poorer glycaemic control in patients with type 1 diabetes

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