Sleep patterns and risks of incident cardiovascular disease and mortality among people with type 2 diabetes: a prospective study of the UK Biobank
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...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2024-01-01
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| Series: | Diabetology & Metabolic Syndrome |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13098-024-01261-8 |
| _version_ | 1797355621797855232 |
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| author | Jinxia Hu Xuanyang Wang Licheng Cheng Keke Dang Zhu Ming Xinmiao Tao Xiaoqing Xu Shuvan Kumar Sarker Ying Li |
| author_facet | Jinxia Hu Xuanyang Wang Licheng Cheng Keke Dang Zhu Ming Xinmiao Tao Xiaoqing Xu Shuvan Kumar Sarker Ying Li |
| author_sort | Jinxia Hu |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-08T14:13:47Z |
| format | Article |
| id | doaj.art-0b07228677054e1ab50ce4a33ba19865 |
| institution | Directory Open Access Journal |
| issn | 1758-5996 |
| language | English |
| last_indexed | 2024-03-08T14:13:47Z |
| publishDate | 2024-01-01 |
| publisher | BMC |
| record_format | Article |
| series | Diabetology & Metabolic Syndrome |
| spelling | doaj.art-0b07228677054e1ab50ce4a33ba198652024-01-14T12:30:51ZengBMCDiabetology & Metabolic Syndrome1758-59962024-01-0116111210.1186/s13098-024-01261-8Sleep patterns and risks of incident cardiovascular disease and mortality among people with type 2 diabetes: a prospective study of the UK BiobankJinxia Hu0Xuanyang Wang1Licheng Cheng2Keke Dang3Zhu Ming4Xinmiao Tao5Xiaoqing Xu6Shuvan Kumar Sarker7Ying Li8Department of Nutrition and Food Hygiene, Key Laboratory of Precision Nutrition and Health, School of Public Health, Ministry of Education, Harbin Medical UniversityDepartment of Nutrition and Food Hygiene, Key Laboratory of Precision Nutrition and Health, School of Public Health, Ministry of Education, Harbin Medical UniversityDepartment of Nutrition and Food Hygiene, Key Laboratory of Precision Nutrition and Health, School of Public Health, Ministry of Education, Harbin Medical UniversityDepartment of Nutrition and Food Hygiene, Key Laboratory of Precision Nutrition and Health, School of Public Health, Ministry of Education, Harbin Medical UniversityDepartment of Nutrition and Food Hygiene, Key Laboratory of Precision Nutrition and Health, School of Public Health, Ministry of Education, Harbin Medical UniversityDepartment of Nutrition and Food Hygiene, Key Laboratory of Precision Nutrition and Health, School of Public Health, Ministry of Education, Harbin Medical UniversityDepartment of Nutrition and Food Hygiene, Key Laboratory of Precision Nutrition and Health, School of Public Health, Ministry of Education, Harbin Medical UniversityDepartment of Nutrition and Food Hygiene, Key Laboratory of Precision Nutrition and Health, School of Public Health, Ministry of Education, Harbin Medical UniversityDepartment of Nutrition and Food Hygiene, Key Laboratory of Precision Nutrition and Health, School of Public Health, Ministry of Education, Harbin Medical UniversityAbstract 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.https://doi.org/10.1186/s13098-024-01261-8Cardiovascular diseaseType 2 diabetes mellitus (T2DM)Sleep patternPolygenic risk score (PRS) |
| spellingShingle | Jinxia Hu Xuanyang Wang Licheng Cheng Keke Dang Zhu Ming Xinmiao Tao Xiaoqing Xu Shuvan Kumar Sarker Ying Li Sleep patterns and risks of incident cardiovascular disease and mortality among people with type 2 diabetes: a prospective study of the UK Biobank Diabetology & Metabolic Syndrome Cardiovascular disease Type 2 diabetes mellitus (T2DM) Sleep pattern Polygenic risk score (PRS) |
| title | Sleep patterns and risks of incident cardiovascular disease and mortality among people with type 2 diabetes: a prospective study of the UK Biobank |
| title_full | Sleep patterns and risks of incident cardiovascular disease and mortality among people with type 2 diabetes: a prospective study of the UK Biobank |
| title_fullStr | Sleep patterns and risks of incident cardiovascular disease and mortality among people with type 2 diabetes: a prospective study of the UK Biobank |
| title_full_unstemmed | Sleep patterns and risks of incident cardiovascular disease and mortality among people with type 2 diabetes: a prospective study of the UK Biobank |
| title_short | Sleep patterns and risks of incident cardiovascular disease and mortality among people with type 2 diabetes: a prospective study of the UK Biobank |
| title_sort | sleep patterns and risks of incident cardiovascular disease and mortality among people with type 2 diabetes a prospective study of the uk biobank |
| topic | Cardiovascular disease Type 2 diabetes mellitus (T2DM) Sleep pattern Polygenic risk score (PRS) |
| url | https://doi.org/10.1186/s13098-024-01261-8 |
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