Relationship between sleep disturbance and self-care in adults with type 2 diabetes

Zhu, Bingqian; Quinn, Laurie; Kapella, Mary C.; Collins, Eileen G.; Ruggiero, Laurie; Park, Chang Gyu; Fritschi, Cynthia

doi:10.1007/s00592-018-1181-4

Cited by 32 publications

(36 citation statements)

References 45 publications

(58 reference statements)

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“…This report was a secondary analysis of data from a longitudinal, correlational study (Zhu et al, ).…”

Section: Methodsmentioning

confidence: 99%

“…The inclusion criteria were as follows: (a) aged 50 years or over and (b) with a diagnosis of T2D for over a year. Detailed participant recruitment and exclusion criteria were described in a previous report (Zhu et al, ).…”

Section: Methodsmentioning

confidence: 99%

“…A battery of paper questionnaires was administered at the baseline visit, data from which were used for this report. Detailed study procedures were described elsewhere (Zhu et al, ).…”

Section: Methodsmentioning

confidence: 99%

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Associations between fatigue, sleep disturbance and eating style in adults with type 2 diabetes: A correlational study

Zhu

Martyn‐Nemeth

Ruggiero

et al. 2019

Journal of Clinical Nursing

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Aims and objectives:To test the hypothesis that fatigue and sleep disturbance account for a significant amount of variation in eating styles among people with type 2 diabetes (T2D). Background: Healthy eating is an important component of diabetes self-care but remains a major challenge. In people with T2D, symptoms of fatigue and sleep disturbance are pervasive. However, there is limited understanding of whether fatigue and sleep disturbance are associated with eating style in people with T2D. Design: Correlational design. Methods: This study was reported following the STROBE checklist. Data were collected between February 2017 and January 2018. A convenience sample of 64 T2D adults completed the Three-Factor Eating Questionnaire-R18V2 to measure eating style (e.g., emotional eating, cognitive restraint and uncontrolled eating). Diabetes distress, fatigue and sleep disturbance were measured using validated questionnaires. Hierarchical regression analyses were performed. Results: Only age was a significant predictor (β = −0.344) of cognitive restraint. Participant demographics, psychological factor and health-related factors contribute significantly to the model predicting emotional eating, but only diabetes distress was a significant predictor (β = 0.433). Introducing fatigue and poor sleep quality explained an additional 12.0% of the variation in emotional eating. The final model explained 24.9% of the variation in emotional eating; both diabetes distress (β = 0.294) and fatigue (β = 0.360) were significant predictors. Conclusion: There is a strong, independent relationship of fatigue and diabetes distress with emotional eating T2D patients. The effect of improving fatigue and diabetes distress on eating style should be explored. Relevance to clinical practice: In clinical practice, nurses are recommended to include a detailed assessment of fatigue and distress in patients with diabetes. Additional to the conventional nutrition therapy focusing on diet advice, eating style should also be incorporated in diet education by diabetes nurses. K E Y W O R D S distress, eating behaviour, emotion, fatigue, nurse, sleep, symptom | 3201 ZHU et al.

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“…This report was a secondary analysis of data from a longitudinal, correlational study (Zhu et al, ).…”

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Associations between fatigue, sleep disturbance and eating style in adults with type 2 diabetes: A correlational study

Zhu

Martyn‐Nemeth

Ruggiero

et al. 2019

Journal of Clinical Nursing

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“…In this report, data from 56 participants were analysed. Detailed inclusion/exclusion criteria and participant recruitment were described elsewhere (Zhu, Quinn, et al, 2018).…”

Section: Participantsmentioning

confidence: 99%

“…A secondary analysis was performed using data from a correlational, longitudinal study. The parent study examined the relationships between sleep and self‐care behaviours (Zhu, Quinn, et al, ).…”

Section: The Studymentioning

confidence: 99%

Intra‐individual variability in sleep is related to glycaemic control in adults with type 2 diabetes

Zhu

Kapella

Zhao

et al. 2020

Journal of Advanced Nursing

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Aims To examine whether there were significant differences in sleep during weekdays/weekends and whether the intra‐individual variability in sleep was related to glycaemic control in patients with type 2 diabetes. Design Correlational, longitudinal design. Methods Data were collected between February 2017–January 2018. In all, 56 adults with type 2 diabetes were included (60.7 years, 55.4% female). Sleep was measured using the Consensus Sleep Diary over 8 days. Intra‐individual variability of sleep was calculated as the standard deviation of sleep variables. Standard deviations of sleep duration, sleep efficiency, sleep quality, and mid‐sleep time were obtained. Glycaemic control was measured by haemoglobin A1C. Paired t test and multiple regression analysis were used. Results Overall, there were no differences in sleep parameters between weekdays and weekends. Participants slept 20 min more over the weekends than during weekdays. The mid‐sleep time during weekends was about 35 min later than during weekdays. Intra‐individual variability of sleep duration and mid‐sleep ranged from 27.6–167.4 min and 13–137 min, respectively. Controlling for covariates (e.g., distress, symptoms, and self‐care), larger variability in sleep duration, and mid‐sleep were significantly related to higher A1C levels. Conclusion Diabetes educators are recommended to include the assessment of intra‐individual variability in sleep. Maintaining a regular sleep habit (e.g., sleep duration and sleep timing) should be highlighted during patient education. Impact Intra‐individual variability in sleep is an alternative dimension for sleep assessment. This study examined whether intra‐individual variability in sleep was related to glycaemic control in an older sample of type 2 diabetes patients using a sleep diary across 8 days. This sample had a similar sleep pattern during weekdays and weekends. Larger intra‐individual variabilities in sleep duration and mid‐sleep time were independently related to worse glycaemic control. Diabetes patients are recommended to maintain a regular sleep routine.

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Sleep and Diabetes

Deschênes,

McInerney,

Schmitz

2024

Textbook of Diabetes

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Relationship between sleep disturbance and self-care in adults with type 2 diabetes

Cited by 32 publications

References 45 publications

Associations between fatigue, sleep disturbance and eating style in adults with type 2 diabetes: A correlational study

Associations between fatigue, sleep disturbance and eating style in adults with type 2 diabetes: A correlational study

Intra‐individual variability in sleep is related to glycaemic control in adults with type 2 diabetes

Sleep and Diabetes

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