Association between smoking status and body composition parameters in a young adult population DOI Creative Commons
Darina Falbová, Radoslav Beňuš, Lenka Vorobeľová

et al.

Anthropological Review, Journal Year: 2023, Volume and Issue: 86(2), P. 77 - 87

Published: July 11, 2023

The purpose of this study was to analyze the association between smoking status and body composition parameters in 19–30 years old slovak population (mean age: 22,38 ± 2,34 years). sample consisted 379 individuals, including 143 men 236 women. Body were obtained using segmentation bioimpedance analysis. results our showed that regular smokers had significantly higher values waist circumference (p = 0.050), mass index 0.042), waist-toheight ratio 0.027), fat 0.014) < 0.017), pecentual 0.008), trunk (FM, p leg 0.029), visceral area 0.017) compared non-smokers. Using correlation analysis, we detected an increase FM (kg) along with frequency (r 0,136; 0,009). Moreover, positively correlated coffee 0.147; 0.002), energy drinks 0.259; 0.001), alcohol consumption 0.101; 0.035). Smokers also added salt their food more often 0.132; 0.005) worked less -0.111; 0.025). In confirmed significant components, while it is responsible for adiposity young adults.

Language: Английский

The Interactions between Smoking and Sleep DOI Open Access

Ioanna Grigoriou,

Serafeim‐Chrysovalantis Kotoulas, Κonstantinos Porpodis

et al.

Published: June 20, 2024

Smoking a cigarette before bed or first thing in the morning is common habit. In this review relationship between smoking and sleep investigated, based on existing literature. Tobacco disrupts architecture by reducing slow wave rapid eye movement (REM) undermining quality. Furthermore, affects sleep-related co-morbidities, such as obstructive apnoea-hypopnea syndrome (OSAHS), insomnia, parasomnias, arousals, bruxism, restless legs but also non-sleep-related conditions cardiovascular, metabolic, respiratory, neurologic, psychiatric, inflammatory, gynecologic pediatric. This aims to consolidate all knowledge about sleep.

Language: Английский

Citations

1
Sleep Patterns and Tryptophan Consumption among Students at Spanish Universities: The Unihcos Project DOI Open Access
María Morales‐Suárez‐Varela, Carmen Amezcua‐Prieto, Isabel Peraita‐Costa

et al.

Nutrients, Journal Year: 2024, Volume and Issue: 16(14), P. 2376 - 2376

Published: July 22, 2024

The objective of this cross-sectional study was to explore sleep patterns and the potential relationship between tryptophan intake among Spanish university students. A total 11,485 students self-reported their dietary habits. Tryptophan calculated using a food matrix results were presented as quartiles intake. Short duration prevalence 51.0%, with males exhibiting significantly higher frequency. 55.0% participants inadequate efficiency, again presenting rate. Median 692.16 ± 246.61 mg/day, 731.84 246.86 mg/day in 677.24 244.87 females (

Language: Английский

Citations

1
The impact of smartphone dependence on college students’ sleep quality: the chain-mediated role of negative emotions and health-promoting behaviors DOI Creative Commons
Yunfei Tao,

Zhaozhi Liu,

Huang Li

et al.

Frontiers in Public Health, Journal Year: 2024, Volume and Issue: 12

Published: Sept. 19, 2024

Objective Sleep disturbances among college students have become a significant issue affecting their daily lives. This study aims to explore the relationship between smartphone dependence and sleep quality examine mediating roles of negative emotions health-promoting behaviors. Methods A total 23,652 were included in study, 21,314 valid questionnaires collected. The survey assessed demographic factors, dependence, quality, emotions, chain mediation analysis was conducted relationships these factors. Results Smartphone significantly positively correlated with ( r = 0.272, p &lt; 0.001) 0.414, 0.001), negatively behaviors −0.178, 0.001). 0.472, −0.218, 0.001).Smartphone positive predictor quality. Moreover, influenced effect, direct indirect effect values 0.304, 0.122, 0.170, respectively. Conclusion Different factors (such as gender place residence) can lead variations different variables. impact on students, while impact. directly affects also influence it indirectly through effects behaviors, both individually chain-like manner.

Language: Английский

Citations

1
Utilizing machine learning techniques to identify severe sleep disturbances in Chinese adolescents: an analysis of lifestyle, physical activity, and psychological factors DOI Creative Commons
Zhang Li-rong,

Shaocong Zhao,

Wei Yang

et al.

Frontiers in Psychiatry, Journal Year: 2024, Volume and Issue: 15

Published: Nov. 7, 2024

Background Adolescents often experience difficulties with sleep quality. The existing literature on predicting severe disturbance is limited, primarily due to the absence of reliable tools. Methods This study analyzed 1966 university students. All participants were classified into a training set and validation at ratio 8:2 random. Participants in utilized establish models, logistic regression (LR) five machine learning algorithms, including eXtreme Gradient Boosting Machine (XGBM), Naïve Bayesian (NB), Support Vector (SVM), Decision Tree (DT), CatBoosting (CatBM), develop models. Whereas, those used validate developed Results incidence was 5.28% (104/1969). Among all XGBM model performed best AUC (0.872 [95%CI: 0.848-0.896]), followed by CatBM (0.853 [95% CI: 0.821-0.878]) DT (0.843 0.801-0.870]), whereas only 0.822 (95% 0.777-0.856). Additionally, had accuracy (0.792), precision (0.780), F1 score (0.796), Brier (0.143), log loss (0.444). Conclusions may be useful tool estimate risk experiencing among adolescents.

Language: Английский

Citations

1
Association between smoking status and body composition parameters in a young adult population DOI Creative Commons
Darina Falbová, Radoslav Beňuš, Lenka Vorobeľová

et al.

Anthropological Review, Journal Year: 2023, Volume and Issue: 86(2), P. 77 - 87

Published: July 11, 2023

The purpose of this study was to analyze the association between smoking status and body composition parameters in 19–30 years old slovak population (mean age: 22,38 ± 2,34 years). sample consisted 379 individuals, including 143 men 236 women. Body were obtained using segmentation bioimpedance analysis. results our showed that regular smokers had significantly higher values waist circumference (p = 0.050), mass index 0.042), waist-toheight ratio 0.027), fat 0.014) < 0.017), pecentual 0.008), trunk (FM, p leg 0.029), visceral area 0.017) compared non-smokers. Using correlation analysis, we detected an increase FM (kg) along with frequency (r 0,136; 0,009). Moreover, positively correlated coffee 0.147; 0.002), energy drinks 0.259; 0.001), alcohol consumption 0.101; 0.035). Smokers also added salt their food more often 0.132; 0.005) worked less -0.111; 0.025). In confirmed significant components, while it is responsible for adiposity young adults.

Language: Английский

Citations

3