Skip to main content
Log in

Trajectories of sleep quality and associations with excessive gestational weight gain during pregnancy

  • Original Article
  • Published:
Sleep and Biological Rhythms Aims and scope Submit manuscript

Abstract

Poor sleep and excessive weight gain of pregnant women are associated with maternal outcomes. However, it’s unknown regarding their effects of each other in pregnant women. This cohort study aimed to identify the trajectories of sleep quality and their associations with excessive gestational weight gain during pregnancy. Data of 403 pregnant women were collected at three visiting points: early pregnancy, between 10 and 17 weeks, mid-pregnancy, between 18 and 21 weeks, and late pregnancy: 28–32 weeks of pregnancy. Sleep quality was examined by the Pittsburgh sleep quality index. A semiparametric mixture model was used to estimate the patterns of sleep quality throughout the pregnancy. Two trajectories were identified as good-to-poor group (76.42%) and constant poor group (23.57%), respectively. It was observed that poor sleep quality was associated with excessive gestational weight gain in both groups. Poor sleep quality during late pregnancy in good-to-poor group predicted excessive gestational weight gain (adjusted Odds Ratio 3.47, 95% CI 1.25, 9.62). In contrast, the relationship was established even at mid-pregnancy in constant poor group (adjusted Odds Ratio 3.12, 95% CI 1.06, 9.19). Results from this study showed that most of pregnant women reported decreased sleep quality, however, a minority reported stable–poor sleep quality throughout pregnancy. Poor sleep quality was associated with excessive gestational weight gain during pregnancy. In comparison, those pregnant women with stable–poor sleep quality had a greater risk to get excessive gestational weight gain.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Cai S, Tan S, Gluckman PD, Godfrey KM, Saw SM, Teoh OH, et al. Sleep quality and nocturnal sleep duration in pregnancy and risk of gestational diabetes Mellitus. Sleep. 2017;40(2):zsw058. https://doi.org/10.1093/sleep/zsw058.

    Article  Google Scholar 

  2. Wolynczyk-Gmaj D, Rozanska-Waledziak A, Ziemka S, Ufnal M, Brzezicka A, Gmaj B, et al. Insomnia in pregnancy is associated with depressive symptoms and eating at night. J Clin Sleep Med. 2017;13:1171–6.

    Article  Google Scholar 

  3. Signal TL, Gander PH, Sangalli MR, Travier N, Firestone RT, Tuohy JF. Sleep duration and quality in healthy nulliparous and multiparous women across pregnancy and post-partum. Aust N Z J Obstet Gynaecol. 2007;47:16–22.

    Article  Google Scholar 

  4. Hung H-M, Ko S-H, Chen C-H. The association between prenatal sleep quality and obstetric outcome. J Nurs Res. 2014;22:147–54.

    Article  Google Scholar 

  5. Saadati F, Sehhatiei Shafaei F, Mirghafourvand M. Sleep quality and its relationship with quality of life among high-risk pregnant women (gestational diabetes and hypertension). J Matern Fetal Neona. 2018;31:150–7.

    Article  Google Scholar 

  6. Khanolkar AR, Hanley GE, Koupil I, Janssen PA. IOM guidelines for gestational weight gain: how well do they predict outcomes across ethnic groups? Ethnicity Health. 2009;2017:1–16.

    Google Scholar 

  7. McBain RD, Dekker GA, Clifton VL, Mol BW, Grzeskowiak LE. Impact of inter-pregnancy BMI change on perinatal outcomes: a retrospective cohort study. Eur J Obstet Gynecol Reprod Biol. 2016;205:98–104.

    Article  Google Scholar 

  8. Swank ML, Caughey AB, Farinelli CK, Main EK, Melsop KA, Gilbert WM, et al. The impact of change in pregnancy body mass index on the development of gestational hypertensive disorders. J Perinatol. 2014;34:181–5.

    Article  CAS  Google Scholar 

  9. Gay CL, Richoux SE, Beebe KR, Lee KA. Sleep disruption and duration in late pregnancy is associated with excess gestational weight gain among overweight and obese women. Birth. 2017;44:173–80.

    Article  Google Scholar 

  10. Facco FL, Kramer J, Ho KH, Zee PC, Grobman WA. Sleep disturbances in pregnancy. Obstet Gynecol. 2010;115:77–83.

    Article  Google Scholar 

  11. Mota J, Vale S. Associations between sleep quality with cardiorespiratory fitness and BMI among adolescent girls. Am J Hum Biol. 2010;22:473–5.

    Article  Google Scholar 

  12. Park SK, Jung JY, Oh C-M, McIntyre RS, Lee J-H. Association between sleep duration, quality and body mass index in the korean population. J Clin Sleep Med. 2018;14:1353–60.

    Article  Google Scholar 

  13. Zhou B. Coorperative meta-analysis group of China obesity task F [Predictive values of body mass index and waist circumference to risk factors of related diseases in Chinese adult population]. Zhonghua Liu Xing Bing Xue Za Zhi. 2002;23:5–10.

    PubMed  Google Scholar 

  14. Wang S-S, Lay S, Yu H-N, Shen S-R, Dietary Guidelines for Chinese Residents. Comments and comparisons. J Zhejiang Univ Sci B. 2016;17:649–56.

    Article  CAS  Google Scholar 

  15. Smyth C. The pittsburgh sleep quality index (PSQI). Insight. 2000;25:97–8.

    CAS  PubMed  Google Scholar 

  16. Sut HK, Asci O, Topac N. Sleep quality and health-related quality of life in pregnancy. J Perinat Neonatal Nurs. 2016;34:302–9.

    Article  Google Scholar 

  17. Heo M, Kim N, Faith MS. Statistical power as a function of Cronbach alpha of instrument questionnaire items. BMC Med Res Methodol. 2015;15:86.

    Article  Google Scholar 

  18. Little RJ, Wang Y. Pattern-mixture models for multivariate incomplete data with covariates. Biometrics. 1996;52:98–111.

    Article  CAS  Google Scholar 

  19. Jones BL, Nagin DS, Roeder K. A SAS procedure based on mixture models for estimating developmental trajectories. Sociol Method Res. 2001;29:374–93.

    Article  Google Scholar 

  20. Rangan A, Zheng M, Olsen NJ, Rohde JF, Heitmann BL. Shorter sleep duration is associated with higher energy intake and an increase in BMI z-score in young children predisposed to overweight. Int J Obes (Lond). 2018;42:59–64.

    Article  CAS  Google Scholar 

  21. Little RJA, Rubin DB. Statistical analysis with missing data. Hoboken: Wiley; 2019 (cited).

    Google Scholar 

  22. Tomfohr LM, Buliga E, Letourneau NL, Campbell TS, Giesbrecht GF. Trajectories of sleep quality and associations with mood during the perinatal period. Sleep. 2015;38:1237–45.

    Article  Google Scholar 

  23. Morin CM, Belanger L, LeBlanc M, Ivers H, Savard J, Espie CA, et al. The natural history of insomnia: a population-based 3-year longitudinal study. Arch Intern Med. 2009;169:447–53.

    Article  Google Scholar 

  24. Wilkerson AK, Uhde TW. Perinatal sleep problems: causes, complications, and management. Obstet Gynecol Clin North Am. 2018;45:483–94.

    Article  Google Scholar 

  25. Yang Y, Mao J, Ye Z, Zeng X, Zhao H, Liu Y, et al. Determinants of sleep quality among pregnant women in China: a cross-sectional survey. J Matern Fetal Neona. 2018;31:2980–5.

    Article  Google Scholar 

  26. Ribeiro MC, Nakamura MU, Torloni MR, Scanavino MdT, Forte BMB, Mancini PE, et al. [Sleep quality in overweight pregnant women]. Qualidade do sono em gestantes com sobrepeso. Rev Bras Ginecol Obstet. 2015;37:359–65.

    Article  Google Scholar 

  27. Eleuteri S, Norton MC, Livi F, Grano C, Falaschi P, Violani C, et al. Sleep quality as predictor of BMI in non-depressed caregivers of people with dementia. Eat Weight Disord. 2018;23:553–60.

    Article  Google Scholar 

Download references

Acknowledgements

The authors acknowledge the study participants for their contributions in making this study possible.

Funding

The study was funded by grants from National Natural Science Foundation of China (81673183, 81874266, 81602860), key project from Shanghai Municipal Science and Technology Commission (18411951600), the Science and Technology Funds from Pudong New Area, Shanghai (PKJ2017-Y01), the Research Funds from Shanghai Jiao Tong University School of Medicine (20170509-1), the Scientific Research Development Funds from Xinhua Hospital, Shanghai Jiao Tong University School of Medicine (HX0251), and the Shanghai Health and Family Planning Committee Research Project (201540165).

Author information

Authors and Affiliations

Authors

Contributions

JL: data analysis, manuscript writing. QZ: data collection. ST: manuscript editing. XS: data collection. JH: protocol, manuscript writing, manuscript editing. SL: project development, manuscript writing, manuscript editing.

Corresponding authors

Correspondence to Shenghui Li or Jing Hua.

Ethics declarations

Conflict of interest

We declare that we have no conflict of interest.

Ethical approval

The study was approved by the research and ethics committee of Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine (LS1416).

Informed consent

All the participants who signed the written informed consent form were invited to participate in the study.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lyu, J., Zhu, Q., Tong, S. et al. Trajectories of sleep quality and associations with excessive gestational weight gain during pregnancy. Sleep Biol. Rhythms 18, 249–257 (2020). https://doi.org/10.1007/s41105-020-00266-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s41105-020-00266-w

Keywords

Navigation