Obesogenic sleep patterns among Chinese preschool children: A latent profile and transition analysis of the association sleep patterns and obesity risk

被引:3
作者
Tuerxun, Paiziyeti [1 ]
Xu, Ke [1 ]
Wang, Miyuan [1 ]
Wei, Mengna [1 ]
Wang, Yimin [1 ]
Jiang, Yanfen [1 ]
Li, Chunan [1 ]
Zhang, Jianduan [1 ,2 ,3 ]
机构
[1] Huazhong Univ Sci & Technol, Tongji Med Coll, Sch Publ Hlth, Dept Maternal & Child Hlth, Wuhan, Hubei, Peoples R China
[2] Huazhong Univ Sci & Technol, Tongji Med Coll, Sch Publ Hlth, Key Lab Environm & Hlth,Minist Educ, Wuhan, Hubei, Peoples R China
[3] Huazhong Univ Sci & Technol, Tongji Med Coll, Sch Publ Hlth, State Key Lab Environm Hlth Incubat,Minist Environ, Wuhan, Hubei, Peoples R China
基金
中国国家自然科学基金;
关键词
Obesity; Obesogenic sleep pattern; Actigraphy; Latent profile analysis; Latent transition analysis; Weekly sleep variation; BODY-MASS INDEX; CHILDHOOD OBESITY; WEIGHT STATUS; ACTIGRAPHY; HEALTH; CHRONOTYPE; DURATION; BMI;
D O I
10.1016/j.sleep.2023.07.031
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Objective: This paper utilized a person-centered approach to examine whether sleep patterns on school and free days are associated with obesity risk in preschool children aged 3-6 years. Methods: The cross-sectional analysis included 204 children from the Wuhan Healthy Start Project with valid sleep data in at least four consecutive days gathered via Actigraph GT3X+. Based on three domains of sleep duration, sleep onset, and sleep offset, we used latent profile analysis to identify distinct sleep patterns on school and free days separately. Additionally, we conducted latent transition analysis to explore the probabilities of sleep patterns transitions between school and free days. The multivariate logistic regression model investigated the associations of sleep patterns with overweight/obesity (OWO) (BMI & GE; age-and sex-specific 85th percentile) and abdominal obesity (AO) (WC & GE; age-and sex-specific 75th percentile).Results: Two sleep patterns were identified for school days: "EL-sc" (early-to-sleep/longer-duration) (n = 119; 58.3%) and "LS-sc" (late-to-sleep/shorter-duration) (n = 85; 41.7%). Similarly, "LES-fr" (late-to-sleep/early-to-wake/shorter-duration) (n = 118; 57.8%) and "ELL-fr" (early-to-sleep/late-to-wake/longer-duration) (n = 86; 42.2%) patterns were identified for free days. LTA categorized the participants into four distinct transition groups, i.e., "EL-sc & RARR;ELL-fr" (32.9%), "EL-sc & RARR;LES-fr" (24.0%), "LS-sc & RARR;LES-fr" (33.8%), and "LS-sc & RARR;ELL-fr" (9.3%). Compared with the "ELsc & RARR;ELL-fr", the "LS-sc & RARR;LES-fr" had a higher risk of OWO (AOR 4.76; 95% CI: 1.39-20.33) and AO (AOR, 2.78; 95% CI, 1.21-6.62), respectively. Neither "EL-sc & RARR;LES-fr" (AOR, 1.11; 95% CI, 0.14-6.67) nor "LS-sc & RARR;ELL-fr" (AOR, 0.74; 95% CI, 0.03-6.14) was significantly associated with OWO. Likewise, no significant association was observed for "EL-sc & RARR;LES-fr" (AOR, 0.96; 95% CI, 0.35-2.62) and "LS-sc & RARR;ELL-fr" (AOR, 0.56; 95% CI, 0.11-2.18) with AO.Conclusions: "LS-sc & RARR;LES-fr" pattern is significantly associated with an increased risk of general and abdominal obesity, indicating its obesogenic nature. Furthermore, although not statistically associated with obesity out-comes, "LS-sc & RARR;ELL-fr" and "EL-sc & RARR;LES-fr" patterns exhibit a semi-obesogenic characteristic. In addition, we identified a concerning trend that preschool children are at risk of transitioning to and persisting in sleep patterns characterized by delayed and shorter sleep. These findings underscore the importance of implementing in-terventions and strategies to address sleep patterns as a crucial step to minimize the risk of obesity.
引用
收藏
页码:123 / 131
页数:9
相关论文
共 79 条
  • [1] Sleep patterns, problems, and habits in a sample of Egyptian preschoolers
    Abou-Khadra, Maha K.
    Ahmed, Dalia
    Sadeki, Samar A.
    Mansouri, Hala H.
    [J]. SLEEP SCIENCE, 2022, 15 : 164 - 171
  • [2] A longer biological night in long sleepers than in short sleepers
    Aeschbach, D
    Sher, L
    Postolache, TT
    Matthews, JR
    Jackson, MA
    Wehr, TA
    [J]. JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM, 2003, 88 (01) : 26 - 30
  • [3] Objective and subjective sleep measures are associated with HbA1c and insulin sensitivity in the general population: Findings from the ORISCAV-LUX-2 study
    Aguayo, G. A.
    Pastore, J.
    Backes, A.
    Stranges, S.
    Witte, D. R.
    Diederich, N. J.
    Alkerwi, A.
    Huiart, L.
    Ruiz-Castell, M.
    Malisoux, L.
    Fagherazzi, G.
    [J]. DIABETES & METABOLISM, 2022, 48 (01)
  • [4] [Anonymous], 2017, Guideline for sleep hygiene among children aged 0-5 years
  • [5] [Anonymous], 2020, J Nutr, V2020
  • [6] Severe childhood obesity: an under-recognised and growing health problem
    Bass, Rosara
    Eneli, Ihuoma
    [J]. POSTGRADUATE MEDICAL JOURNAL, 2015, 91 (1081) : 639 - 645
  • [7] Validating Actigraphy as a Measure of Sleep for Preschool Children
    Belanger, Marie-Eve
    Bernier, Annie
    Paquet, Jean
    Simard, Valerie
    Carrier, Julie
    [J]. JOURNAL OF CLINICAL SLEEP MEDICINE, 2013, 9 (07): : 701 - 706
  • [8] Sleep profiles as a longitudinal predictor for depression magnitude and variability following the onset of COVID-19
    Bi, Kaiwen
    Chen, Shuquan
    [J]. JOURNAL OF PSYCHIATRIC RESEARCH, 2022, 147 : 159 - 165
  • [9] Construction of the World Health Organization child growth standards: selection of methods for attained growth curves
    Borghi, E
    de Onis, M
    Garza, C
    Van den Broeek, J
    Frongillo, EA
    Grummer-Strawn, L
    Van Buuren, S
    Pan, H
    Molinari, L
    Martorell, R
    Onyango, AW
    Martines, JC
    [J]. STATISTICS IN MEDICINE, 2006, 25 (02) : 247 - 265
  • [10] Sleep Health: Can We Define It? Does It Matter?
    Buysse, Daniel J.
    [J]. SLEEP, 2014, 37 (01) : 9 - U219