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Bogaert L, Willems I, Calders P, Dirinck E, Kinaupenne M, Decraene M, Lapauw B, Strumane B, Van Daele M, Verbestel V, De Craemer M. Explanatory variables of objectively measured 24-h movement behaviors in people with prediabetes and type 2 diabetes: A systematic review. Diabetes Metab Syndr 2024; 18:102995. [PMID: 38583307 DOI: 10.1016/j.dsx.2024.102995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Revised: 02/13/2024] [Accepted: 03/25/2024] [Indexed: 04/09/2024]
Abstract
AIM Physical activity (PA), sedentary behavior (SB) and sleep (i.e. 24-h movement behaviors) are associated with health indicators in people with prediabetes and type 2 diabetes (T2D). To optimize 24-h movement behaviors, it is crucial to identify explanatory variables related to these behaviors. This review aimed to summarize the explanatory variables of 24-h movement behaviors in people with prediabetes or T2D. METHODS A systematic search of four databases (PubMed, Web of Science, Scopus & Embase) was performed. Only objective measurements of 24-h movement behaviors were included in the search strategy. The explanatory variables were classified according to the levels of the socio-ecological model (i.e. intrapersonal, interpersonal and environmental). The risk of bias was assessed using the Joanna Briggs Institute appraisal checklist. RESULTS None of the 78 included studies investigated 24-h movement behaviors. The majority of the studies investigated PA in isolation. Most studied explanatory variables were situated at the intrapersonal level. Being male was associated with more moderate to vigorous PA but less light PA in people with T2D, and more total PA in people with prediabetes. An older age was associated with a decrease in all levels of PA in people with T2D. HbA1c was positively associated with sleep and SB in both groups. No associations were found at the interpersonal or environmental level. CONCLUSION The results of this review underscore the lack of a socio-ecological approach toward explanatory variables of 24-h movement behaviors and the lack of focus on an integrated 24-h movement behavior approach in both populations.
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Affiliation(s)
- Lotte Bogaert
- Ghent University, Department of Rehabilitation Sciences, Ghent, Belgium.
| | - Iris Willems
- Ghent University, Department of Rehabilitation Sciences, Ghent, Belgium; Research Foundation Flanders, Brussels, Belgium.
| | - Patrick Calders
- Ghent University, Department of Rehabilitation Sciences, Ghent, Belgium.
| | - Eveline Dirinck
- Department of Endocrinology, Antwerp University Hospital & University of Antwerp, Antwerp, Belgium.
| | - Manon Kinaupenne
- Ghent University, Department of Rehabilitation Sciences, Ghent, Belgium.
| | - Marga Decraene
- Ghent University, Department of Rehabilitation Sciences, Ghent, Belgium; Ghent University, Department of Movement and Sports Sciences, Ghent, Belgium.
| | - Bruno Lapauw
- Department of Endocrinology & Department of Internal Medicine and Pediatrics, Ghent University Hospital & Ghent University, Ghent, Belgium.
| | - Boyd Strumane
- Faculty of Medicine and Health Sciences, Ghent, Belgium.
| | | | - Vera Verbestel
- Faculty of Health, Medicine and Life Sciences, Department of Health Promotion, Research Institute of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University, the Netherlands; Faculty of Health, Medicine and Life Sciences, Department of Health Promotion, Care and Public Health Research Institute (CAPHRI), Maastricht University, the Netherlands.
| | - Marieke De Craemer
- Ghent University, Department of Rehabilitation Sciences, Ghent, Belgium.
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Hu J, Wang X, Cheng L, Dang K, Ming Z, Tao X, Xu X, Sarker SK, Li Y. Sleep patterns and risks of incident cardiovascular disease and mortality among people with type 2 diabetes: a prospective study of the UK Biobank. Diabetol Metab Syndr 2024; 16:15. [PMID: 38212811 PMCID: PMC10782582 DOI: 10.1186/s13098-024-01261-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 01/05/2024] [Indexed: 01/13/2024] Open
Abstract
BACKGROUND To explore the relationship between sleep patterns and cardiovascular disease (CVD) incidence and mortality risk in a population with type 2 diabetes through a UK Biobank sample. METHODS A total of 6860 patients with type 2 diabetes were included in this study. Five sleep factors (including Chronotype, sleep duration, insomnia, daytime sleepiness, and snoring) were collected as a questionnaire. The calculation generates a sleep score of 0-5, and then three sleep patterns were defined based on the sleep scores: poor sleep pattern (0-2), Intermediate sleep pattern (3-4), and healthy sleep pattern (5). HRs and 95% confidence intervals were calculated by multivariate COX proportional risk model adjustment. Restricted cubic splines were used to validate linear associations between sleep scores CVD events. RESULTS Our results found a reduced risk of CVD events in individuals with healthy sleep patterns compared to participants with poor sleep patterns. CVD Mortality (HR, 0.690; 95% CI 0.519-0.916), ASCVD (Atherosclerosis CVD) (HR, 0.784; 95% CI 0.671-0.915), CAD (Coronary Artery Disease) (HR, 0.737; 95% CI 0.618-0.879), PAD (Peripheral Arterial Disease) (HR, 0.612; 95% CI 0.418-0.896), Heart Failure (HR, 0.653; 95% CI 0.488-0.875). Restricted cubic spline responded to a negative linear correlation between sleep scores and CVD Mortality, ASCVD, CAD, PAD, and Heart Failure. CONCLUSIONS Healthy sleep patterns are significantly associated with a reduced risk of CVD Mortality, ASCVD, CAD, PAD, and Heart Failure in the diabetes population.
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Affiliation(s)
- Jinxia Hu
- Department of Nutrition and Food Hygiene, Key Laboratory of Precision Nutrition and Health, School of Public Health, Ministry of Education, Harbin Medical University, 157 Baojian Road, Heilongjiang, 150081, People's Republic of China
| | - Xuanyang Wang
- Department of Nutrition and Food Hygiene, Key Laboratory of Precision Nutrition and Health, School of Public Health, Ministry of Education, Harbin Medical University, 157 Baojian Road, Heilongjiang, 150081, People's Republic of China
| | - Licheng Cheng
- Department of Nutrition and Food Hygiene, Key Laboratory of Precision Nutrition and Health, School of Public Health, Ministry of Education, Harbin Medical University, 157 Baojian Road, Heilongjiang, 150081, People's Republic of China
| | - Keke Dang
- Department of Nutrition and Food Hygiene, Key Laboratory of Precision Nutrition and Health, School of Public Health, Ministry of Education, Harbin Medical University, 157 Baojian Road, Heilongjiang, 150081, People's Republic of China
| | - Zhu Ming
- Department of Nutrition and Food Hygiene, Key Laboratory of Precision Nutrition and Health, School of Public Health, Ministry of Education, Harbin Medical University, 157 Baojian Road, Heilongjiang, 150081, People's Republic of China
| | - Xinmiao Tao
- Department of Nutrition and Food Hygiene, Key Laboratory of Precision Nutrition and Health, School of Public Health, Ministry of Education, Harbin Medical University, 157 Baojian Road, Heilongjiang, 150081, People's Republic of China
| | - Xiaoqing Xu
- Department of Nutrition and Food Hygiene, Key Laboratory of Precision Nutrition and Health, School of Public Health, Ministry of Education, Harbin Medical University, 157 Baojian Road, Heilongjiang, 150081, People's Republic of China
| | - Shuvan Kumar Sarker
- Department of Nutrition and Food Hygiene, Key Laboratory of Precision Nutrition and Health, School of Public Health, Ministry of Education, Harbin Medical University, 157 Baojian Road, Heilongjiang, 150081, People's Republic of China
| | - Ying Li
- Department of Nutrition and Food Hygiene, Key Laboratory of Precision Nutrition and Health, School of Public Health, Ministry of Education, Harbin Medical University, 157 Baojian Road, Heilongjiang, 150081, People's Republic of China.
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