TY - JOUR
T1 - Associations between sleep variability and cardiometabolic health
T2 - A systematic review
AU - Zhu, Bingqian
AU - Wang, Yueying
AU - Yuan, Jinjin
AU - Mu, Yunping
AU - Chen, Pei
AU - Srimoragot, Manassawee
AU - Li, Yan
AU - Park, Chang G.
AU - Reutrakul, Sirimon
N1 - Funding Information:
The Newcastle-Ottawa Scale (NOS) [31] and adapted NOS [32] were used to assess the quality of cohort and cross-sectional studies, respectively. NOS evaluates the quality from three domains: Selection, Comparability, and Outcome. A maximum of four, two, and three stars can be awarded for each domain of NOS. A maximum of three, two, and two stars can be awarded for each domain of the adapted NOS. The total score is the sum of the three domains. A higher score indicates better quality. The NOS has a range of 0–9 (≥7, good quality; 5–6, fair quality) [33]. The adapted NOS has a range of 0–7 and no cut-off has been proposed. The Cochrane Risk of Bias 2 [34] was used to evaluate the quality of a randomized controlled trial (RCT). The NIH Quality Assessment Tool for Before-After (Pre-Post) Studies With No Control Group [35] was used to evaluate the quality of pre-post studies. For cohort studies, if only cross-sectional analyses were performed, they were rated as if they used a cross-sectional design. Similarly, for interventional studies, if only data from the baseline/screening phase were used for the analyses, they were rated as if they used a cross-sectional design. The papers were divided and reviewed by five independent reviewers. The quality appraisal results were double-checked by one reviewer (BZ). Discrepancies were resolved by the senior author.This work is supported in part by the National Natural Science Foundation of China [to BZ, 71904119], “Sailing Program” of Science and Technology Commission of Shanghai Municipality [to BZ, 19YF1425300], and Innovation Research Team of High-Level Local Universities in Shanghai [SHSMU-ZDCX20212800]. Bingqian Zhu was supported by Shanghai Municipal Education Commission “Young Eastern Scholar” and “Shanghai Jiao Tong University School of Medicine-Nursing Development Program”. Sirimon Reutrakul is supported by grant 1R01EY029782.
Funding Information:
This work is supported in part by the National Natural Science Foundation of China [to BZ, 71904119 ], “Sailing Program” of Science and Technology Commission of Shanghai Municipality [to BZ, 19YF1425300 ], and Innovation Research Team of High-Level Local Universities in Shanghai [ SHSMU-ZDCX20212800 ]. Bingqian Zhu was supported by Shanghai Municipal Education Commission “Young Eastern Scholar” and “ Shanghai Jiao Tong University School of Medicine-Nursing Development Program”. Sirimon Reutrakul is supported by grant 1R01EY029782.
Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/12
Y1 - 2022/12
N2 - This review explored the associations between sleep variability and cardiometabolic health. It was performed following PRISMA guidelines. We identified 63 studies. Forty-one studies examined the association between sleep variability and body composition, with 29 examined body mass index (BMI). Thirteen studies used social jet lag (SJL), n = 30,519, with nine reporting a null association. Eight studies used variability in sleep duration (n = 33,029), with five reporting a correlation with BMI. Fourteen studies (n = 133,403) focused on overweight/obesity; significant associations with sleep variability were found in 11 (n = 120,168). Sleep variability was associated with weight gain (seven studies; n = 79,522). Twenty-three studies examined glucose outcomes. The association with hemoglobin A1c (16 studies, n = 11,755) differed depending on populations, while associations with diabetes or glucose were mixed, and none were seen with insulin resistance (five studies; n = 6416). Sixteen studies examined cardiovascular-related outcomes, with inconsistent results. Overall significant associations were found in five studies focusing on metabolic syndrome (n = 7413). In summary, sleep variability was likely associated with obesity, weight gain, and metabolic syndrome. It might be associated with hemoglobin A1c in people with type 1 diabetes. The associations with other outcomes were mixed. This review highlighted the possible association between sleep variability and cardiometabolic health.
AB - This review explored the associations between sleep variability and cardiometabolic health. It was performed following PRISMA guidelines. We identified 63 studies. Forty-one studies examined the association between sleep variability and body composition, with 29 examined body mass index (BMI). Thirteen studies used social jet lag (SJL), n = 30,519, with nine reporting a null association. Eight studies used variability in sleep duration (n = 33,029), with five reporting a correlation with BMI. Fourteen studies (n = 133,403) focused on overweight/obesity; significant associations with sleep variability were found in 11 (n = 120,168). Sleep variability was associated with weight gain (seven studies; n = 79,522). Twenty-three studies examined glucose outcomes. The association with hemoglobin A1c (16 studies, n = 11,755) differed depending on populations, while associations with diabetes or glucose were mixed, and none were seen with insulin resistance (five studies; n = 6416). Sixteen studies examined cardiovascular-related outcomes, with inconsistent results. Overall significant associations were found in five studies focusing on metabolic syndrome (n = 7413). In summary, sleep variability was likely associated with obesity, weight gain, and metabolic syndrome. It might be associated with hemoglobin A1c in people with type 1 diabetes. The associations with other outcomes were mixed. This review highlighted the possible association between sleep variability and cardiometabolic health.
KW - Diabetes
KW - Hypertension
KW - Obesity
KW - Sleep regularity
KW - Social jetlag
KW - Systematic review
UR - http://www.scopus.com/inward/record.url?scp=85137282381&partnerID=8YFLogxK
U2 - 10.1016/j.smrv.2022.101688
DO - 10.1016/j.smrv.2022.101688
M3 - Review article
C2 - 36081237
AN - SCOPUS:85137282381
SN - 1087-0792
VL - 66
JO - Sleep Medicine Reviews
JF - Sleep Medicine Reviews
M1 - 101688
ER -
