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05 Feb 2025
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Cigarette smoke exposure as a potential risk factor for sleep problems in pregnant women

Have you ever wondered about the relationship between active/passive smoking and sleep in pregnant women? 

Recommended by ORCID_LOGO based on reviews by Silvio Maltagliati, Florian Chouchou and Jean-Philippe Chaput

Pregnancy has been shown to affect the quality, duration, and pattern of sleep (Paavonen et al., 2017; Reid et al., 2017). These changes have important implications, as insufficient sleep is associated with health problems and complications during labor. In line with studies investigating the general population, a few studies focused on pregnant smokers and have also shown a prevalence of sleep abnormalities (e.g., Danilov et al., 2022; Lange et al., 2018; Paavonen et al., 2017). Studies examining the role of passive smoking on sleep are rare, be it in the general population or in pregnant women. 

The aim of the Ciochon et al. study was to investigate the relationship between active or passive smoking and three types of sleep problems during pregnancy: difficulty falling asleep, difficulty staying asleep, and waking up too early. The authors hypothesized that pregnant women's exposure to smoking (active and passive) would increase their risk of sleep problems during pregnancy.

Participants were part of a larger study: the Corona Mums project, which included 3365 pregnant women from Poland, aged 18 to 43 years. These women completed an online questionnaire during the COVID-19 pandemic, from May 2020 to September 2021. The authors conducted multivariate logistic regressions that included the following control variables: socio-demographic, pregnancy-related variables, and psychological variables.

The results of the study showed that passive smoking is a risk factor for waking up too early, but they showed no evidence suggesting that active or passive smoking was related to any of the other sleep variables. The authors highlighted the roles of control variables included in the models. Specifically, sleep difficulties were related to age, place of residence, education, level of anxiety and depression in pregnant women, and the presence of nausea or vomiting. Further, in all the models, the level of anxiety, depression, and trimester of pregnancy (3rd trimester in comparison to 1st and 2nd) were significantly related to the risk of occurrence of sleep problems.

While only one of the six examined associations showed statistical significance, the findings are still useful in highlighting potential risks associated with passive smoking and sleep disturbances during pregnancy. The study also underscores the need for more comprehensive investigations, including direct measures of sleep quality, such as actigraphy or polysomnography, which are necessary to better understand the underlying mechanisms and to confirm the potential impacts of both active and passive smoking on sleep during pregnancy.

References
- Ciochoń, A., Balwicki, Ł., Klimek, M., Danel, D., Apanasewicz-Grzegorczyk, A., Ziomkiewicz, A., Galbarczyk, A., & Marcinkowska, U. M. (2025). Cigarette smoke exposure as a potential risk factor for sleep problems in pregnant women. Zenodo, ver.4 peer-reviewed and recommended by PCI Health & Movement Sciences. https://doi.org/10.5281/zenodo.14777983
- Danilov, M., Issany, A., Mercado, P., Haghdel, A., Muzayad, J. K., & Wen, X. (2022). Sleep quality and health among pregnant smokers. Journal of Clinical Sleep Medicine, 18(5), 1343–1353. https://doi.org/10.5664/jcsm.9868
- Lange, S., Probst, C., Rehm, J., & Popova, S. (2018). National, regional, and global prevalence of smoking during pregnancy in the general population: a systematic review and meta-analysis. Lancet. Global Health, 6(7), e769–e776. https://doi.org/10.1016/S2214-109X(18)30223-7
- Paavonen, E., Saarenpää-Heikkilä, O., Pölkki, P., Kylliäinen, A., Porkka-Heiskanen, T., & Paunio, T. (2017). Maternal and paternal sleep during pregnancy in the Child-sleep birth cohort. Sleep Medicine, 29, 47–56. https://doi.org/10.1016/j.sleep.2016.09.011 
- Reid, K. J., Facco, F. L., Grobman, W. A., Parker, C. B., Herbas, M., Hunter, S., Silver, R. M., Basner, R. C., Saade, G. R., Pien, G. W., Manchanda, S., Louis, J. M., Nhan-Chang, C. L., Chung, J. H., Wing, D. A., Simhan, H. N., Haas, D. M., Iams, J., Parry, S., & Zee, P. C. (2017). Sleep during pregnancy: the nuMoM2b Pregnancy and Sleep Duration and Continuity Study. Sleep, 40(5), zsx045. https://doi.org/10.1093/sleep/zsx045 
Cigarette smoke exposure as a potential risk factor for sleep problems in pregnant womenAleksandra Ciochoń, Łukasz Balwicki, Magdalena Klimek, Dariusz P. Danel, Anna Apanasewicz, Anna Ziomkiewicz, Andrzej Galbarczyk, Urszula M. Marcinkowska<p>Abstract</p> <p>Cigarette smoking and exposure to cigarette smoke during pregnancy have detrimental effects on the health of expectant mothers, increasing the likelihood of respiratory diseases or infections. Due to the exciting effect of smok...Health & DiseaseGéraldine Escriva-Boulley2024-05-29 12:18:57 View
24 Aug 2023
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Comparing habit-behaviour relationships for organised versus leisure time physical activity

Habit-behaviour relationships in organised and leisure-time physical activity

Recommended by ORCID_LOGO based on reviews by 2 anonymous reviewers

Despite public health campaigns, achieving recommended physical activity levels remains challenging. Investigating the factors influencing physical activity is essential for effective promotion. Habit strength is known to correlate with physical activity (Hagger, 2019), making habit formation a key intervention target. Newman et al. (2023) expand current knowledge on physical activity and habit strength. They investigate if habit strength and its association with behavior differ between organized and leisure-time physical activities. Given the broad definition of physical activity and individual differences in preferences, studying habit's influence on varied activities is crucial. The cross-sectional survey, spanning the UK, USA, Australia, and Switzerland, involves 120 young adults (mean age = 25) engaged in organized sports. Although self-report measures are used, excluding commuting and occupational activity, the study yields intriguing results: Authors find significant habit strength differences between organized sports and leisure-time activities, indicating potential distinctions in habit formation drivers. Investigating factors establishing habits in organized sports could inform broader interventions. Remarkably, the impact of habits on behavior is consistent across both activity types, suggesting a universal role of habits. Further analysis reveals stronger habit strength in team sports versus individual ones, with no behavior association difference. Diverse habit strength in organized versus leisure-time activities underscores the need for focused research. Understanding unique aspects of team sports that promote habituation can reshape interventions, aligning leisure activities with organized sports' characteristics.

References

Hagger, M. S. (2019). Habit and physical activity: Theoretical advances, practical implications, and agenda for future research. Psychology of Sport and Exercise, 42, 118–129. https://doi.org/10.1016/j.psychsport.2018.12.007

Newman, K., Forestier, C., Cheval, B., Zenko, Z., De Chanaleilles, M., Gardner, B., & Rebar, A. L. (2023). Comparing habit-behaviour relationships for organised versus leisure time physical activity. OSF Preprints, 1–11, version 4, peer-reviewed and recommended by Peer Community in Health & Movement Sciences. https://doi.org/10.31219/osf.io/x5e9d

 

Comparing habit-behaviour relationships for organised versus leisure time physical activityKaterina Newman, Cyril Forestier, Boris Cheval, Zackary Zenko, Margaux de Chanaleilles, Benjamin Gardner, Amanda L. Rebar<p>Evidence shows that people with strong physical activity habits tend to engage in more physical activity than those with weaker habits, but little is known about how habit influences specific types of physical activity. This study aimed to test...Health & Disease, Physical ActivityEleftheria Giannouli2023-03-01 08:59:18 View
17 Nov 2024
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Change in exercise capacity, physical activity and motivation for physical activity at 12 months after a cardiac rehabilitation program in coronary heart disease patients: a prospective, monocentric and observational study

A prospective observational study examining changes in exercise capacity, physical activity, and motivation for physical activity 12 months after a cardiac rehabilitation programme in patients with coronary heart disease

Recommended by ORCID_LOGO based on reviews by Géraldine Escriva-Boulley, Baraa Al-Khazraji and 1 anonymous reviewer

Exercise capacity is recognised as a strong predictor of mortality and cardiovascular morbidity in both healthy individuals and patients with coronary heart disease (Novaković et al., 2022). Accordingly, exercise-based cardiac rehabilitation is recommended as an effective secondary preventive intervention (Task Force Members et al., 2016; Anderson et al., 2016). While earlier studies generally focused on changes in exercise capacity during or immediately after rehabilitation (Uddin et al., 2016), recent research has emphasised the importance of physical activity trajectories on mortality in patients with coronary heart disease (Gonzalez-Jaramillo et al., 2022). This highlights the need to understand changes in exercise capacity and physical activity following the rehabilitation phase.

This study specifically explored changes in exercise capacity (assessed using the six-minute walking test) and physical activity (assessed using the International Physical Activity Questionnaire-Short Form) one year after a cardiac rehabilitation programme in patients with coronary heart disease. Additionally, the authors examined changes in motivation for physical activity over the 12 months following rehabilitation.

Within the limitations of its observational and monocentric nature, the study presents important findings that can inform future research, generate hypotheses, and guide the design of targeted trials aimed at improving or maintaining exercise capacity and physical activity levels after rehabilitation. The exploration of potential barriers to physical activity 12 months after rehabilitation could inform strategies to increase participation in physical activity post-rehabilitation, thereby improving survival (Moholdt et al., 2018).

This study is well-conducted and clearly presented. The authors' interpretation is balanced and consistent with the study's design and analysis. As noted by one of the reviewers, retention in cardiac rehabilitation studies is challenging, and the authors have done a commendable job in retaining participants. They have also addressed all the reviewers' concerns properly and accurately. I am pleased to recommend this preprint.

References
- Novaković M, Novak T, Vižintin Cuderman T, Krevel B, Tasič J, Rajkovič U, Fras Z, Jug B. Exercise capacity improvement after cardiac rehabilitation following myocardial infarction and its association with long-term cardiovascular events. Eur J Cardiovasc Nurs. 2022;21(1):76-84. https://doi.org/10.1093/eurjcn/zvab015
- Task Force Members, Piepoli MF, Hoes AW, et al. 2016 European Guidelines on cardiovascular disease prevention in clinical practice: The Sixth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (constituted by representatives of 10 societies and by invited experts): Developed with the special contribution of the European Association for Cardiovascular Prevention & Rehabilitation (EACPR). Eur J Prev Cardiol. 2016;23(11):NP1-NP96. https://doi.org/10.1177/2047487316653709
- Anderson L, Oldridge N, Thompson DR, et al. Exercise-Based Cardiac Rehabilitation for Coronary Heart Disease: Cochrane Systematic Review and Meta-Analysis. J Am Coll Cardiol. 2016;67(1):1-12. https://doi.org/10.1016/j.jacc.2015.10.044
- Uddin J, Zwisler AD, Lewinter C, et al. Predictors of exercise capacity following exercise-based rehabilitation in patients with coronary heart disease and heart failure: A meta-regression analysis. Eur J Prev Cardiol. 2016;23(7):683-693. https://doi.org/10.1177/204748731560431
- Gonzalez-Jaramillo N, Wilhelm M, Arango-Rivas AM, Gonzalez-Jaramillo V, Mesa-Vieira C, Minder B, Franco OH, Bano A. Systematic review of physical activity trajectories and mortality in patients with coronary artery disease. J Am Coll Cardiol. 2022;79:1690-1700. https://doi.org/10.1016/j.jacc.2022.02.036
- Moholdt T, Lavie CJ, Nauman J. Sustained physical activity, not weight loss, associated with improved survival in coronary heart disease [published correction appears in J Am Coll Cardiol. 2018;71(13):1499. doi: 10.1016/j.jacc.2018.03.013]. J Am Coll Cardiol. 2018;71(10):1094-1101. https://doi.org/10.1016/j.jacc.2018.01.011​​​​
- Da Ros Vettoretto P, Bouffart AA, Gourronc Y, Baron AC, Gaumé M, Congnard F, Noury-Desvaux B, de Müllenheim PY (2024) Change in exercise capacity, physical activity and motivation for physical activity at 12 months after a cardiac rehabilitation program in coronary heart disease patients: a prospective, monocentric and observational study. HAL, ver.3, peer-reviewed and recommended by PCI Health & Movement Sciences. https://hal.science/hal-04510104v3  
Change in exercise capacity, physical activity and motivation for physical activity at 12 months after a cardiac rehabilitation program in coronary heart disease patients: a prospective, monocentric and observational studyPaul Da Ros Vettoretto, Anne-Armelle Bouffart, Youna Gourronc, Anne-Charlotte Baron, Marie Gaumé, Florian Congnard, Bénédicte Noury-Desvaux, Pierre-Yves de Müllenheim<p>Exercise capacity (EC) and physical activity (PA) are relevant predictors of mortality in patients with coronary heart disease (CHD) but the CHD-specific long-term trajectories of these outcomes after a cardiac rehabilitation (CR) program are n...Health & Disease, Physical Activity, RehabilitationFranco Milko Impellizzeri2024-03-22 10:59:07 View
06 Mar 2024
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Not fleeting but lasting: Limited influence of aging on implicit adaptative motor learning and its short-term retention

Does aging affect implicit motor adaptation?

Recommended by based on reviews by Kevin Trewartha and Marit Ruitenberg
Motor adaptation to environmental perturbations (such as visuomotor rotations and force fields) is thought to be achieved through the interaction of  implicit and explicit processes [1]. However, the extent to which these processes are affected by aging is unclear, partly because of differences in experimental protocols. In this paper, Hermans et al. [2] address the question of whether the implicit component of learning is affected in older adults. 
 
Using a force-field adaptation paradigm, the authors examine implicit adaptation and spontaneous recovery in healthy young and older adults. Overall, the authors found that both total adaptation and implicit adaptation was not affected in older adults. They also found evidence that spontaneous recovery was associated with implicit adaptation, but was not affected in older adults. 
 
These results are noteworthy because they challenge some prior work in the field [3], but are also consistent with results from other experimental paradigms [4]. A main strength of the current paper is the rigor applied to testing this question. The authors provide robust, converging evidence from multiple analyses and statistical methods, and control for confounds both statistically and experimentally.
 
Readers might want to note that this is a ‘conceptual’ replication of the previous study [3], and there are some potentially important differences in experimental details, which are clearly outlined. The sensitivity of the findings to such experimental parameters needs further testing. More broadly, these results highlight the need for greater understanding of how age differences observed in other motor learning tasks [5] are reflective of deficits in learning mechanisms.
 
References
1.     Taylor, J. A., & Ivry, R. B. (2011). Flexible cognitive strategies during motor learning. PLoS computational biology, 7(3), e1001096. https://doi.org/10.1371/journal.pcbi.1001096
2.     Hermans, P., Vandevoorde, K., & Orban de Xivry, J. J. (2024). Not fleeting but lasting: Limited influence of aging on implicit adaptative motor learning and its short-term retention. bioRxiv, ver.2, peer-reviewed and recommended by PCI Health & Movement Sciences. https://doi.org/10.1101/2023.08.30.555501
3.     Trewartha, K. M., Garcia, A., Wolpert, D. M., & Flanagan, J. R. (2014). Fast but fleeting: adaptive motor learning processes associated with aging and cognitive decline. The Journal of neuroscience : the official journal of the Society for Neuroscience, 34(40), 13411–13421. https://doi.org/10.1523/JNEUROSCI.1489-14.2014
4.     Vandevoorde, K., & Orban de Xivry, J. J. (2019). Internal model recalibration does not deteriorate with age while motor adaptation does. Neurobiology of aging, 80, 138–153. https://doi.org/10.1016/j.neurobiolaging.2019.03.020
5.     Voelcker-Rehage, C. (2008). Motor-skill learning in older adults—a review of studies on age-related differences. European review of aging and physical activity 5, 5–16. https://doi.org/10.1007/s11556-008-0030-9
 
Not fleeting but lasting: Limited influence of aging on implicit adaptative motor learning and its short-term retentionPauline Hermans, Koen Vandevoorde, Jean-Jacques Orban de Xivry<p>In motor adaptation, learning is thought to rely on a combination of several processes. Two of these are implicit learning (incidental updating of the sensory prediction error) and explicit learning (intentional adjustment to reduce target erro...Sensorimotor ControlRajiv Ranganathan Marit Ruitenberg, Kevin Trewartha2023-09-02 13:23:44 View