Causal association of lifestyle factors, clinical features in the risk of sleep disorders: Based on mendelian randomization analysis DOI Creative Commons
Jingyu Xu, Baojuan Wang,

Wenxing Zhu

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Дек. 18, 2024

Abstract Objective: To identify potential genetic risk factors for sleep disorders (SD) and to explore the causal associations between lifestyle clinical features with SD, given limitations of traditional observational studies. Methods: Data from published genome-wide association studies (GWAS) were analyzed, encompassing 34 17 as exposures influencing SD. These analyses yielded information on 51 4 outcomes. Outcomes consisted four categories: non-organic (NSD), narcolepsy, rapid eye movement (REM) behavior (RSBD), obstructive apnea (OSA). All variables exposure outcome derived individuals European ancestry. Two-sample MR analysis was conducted, inverse variance weighted (IVW) primary method evaluating effects. Weighted median estimation (WME), MR-Egger (MRE), simple mode (SM), (WM) used supplementary evaluation methods. Results: (1) The protective causally associated NSD include overall physical activity time (OR: 0.35; 95%CI: 0.13-0.99; P=0.048) fresh fruit intake 0.30; 0.12-0.75; P=0.010). (2) that are related narcolepsy smoking 1.02; 1.01-1.03; P=0.001), alcoholic drinks P=0.013 OR: P<0.001), cereal 1.03; 1.00-1.07; P=0.029), salad/raw vegetable 1.10; 1.03-1.16; P=0.002), TDI 1.05; 1.00-1.10; P=0.036), health rating 1.07; 1.05-1.10; BMI 1.02-1.03; FINS 1.06; 1.03-1.09; P<0.001), TG P<0.001) hypertension 1.08; 1.02-1.15; P=0.011). (3) tea 0.95; 0.93-0.97; non-oily fish 0.91; 0.84-0.99; P=0.021), years schooling 0.97; 0.96-0.99; cognitive performance 0.98; 0.97-0.99; P=0.001), average total household income before tax 0.94; 0.93-0.96; ApoA-I 0.99; 0.99-1.00; HDL 0.98-0.99; P<0.001). (4) OSA 1.20; 1.08-1.34; P=0.001 1.15; 1.06-1.25; alcohol 1.12; 1.01-1.24; P=0.037), coffee 1.25; 1.00-1.56; P=0.046), pork 2.55; 1.37-4.74; P=0.003), 1.56; 1.12-2.19; P=0.009), 2.76; 2.20-3.46; 1.97; 1.85-2.11; WHR 1.30; 1.08-1.55; P=0.004), 1.02-1.11; 2.72; 1.73-4.26; CRP 1.01-1.11; P=0.016). (5) bread 0.63; 0.49-0.83; 0.71; 0.56-0.90; P=0.005), dried 0.64; 0.50-0.83; 0.72; 0.66-0.79; 0.79; 0.71-0.87; 0.78; 0.66-0.93; FPG 0.84; 0.75-0.94; P=0.003), 0.90-0.99; P=0.017) 0.89; 0.85-0.93; (6) After multivariate through adjusting BMI, ApoA-I, TG, still exists. Conclusions: evidence this study suggests among factors: NSD. Smoking drinks, intake, poverty, poor rating, high narcolepsy. Tea non oily education cognition, OSA. Bread Among features: is a factor High FINS, hypertension, FPG, There not enough suggest other relationships meet criteria established.

Язык: Английский

The impact of exercise on sleep and sleep disorders DOI Creative Commons
Abdulmenaf Korkutata, Mustafa Korkutata, Michael Lazarus

и другие.

Deleted Journal, Год журнала: 2025, Номер 2(1)

Опубликована: Фев. 3, 2025

Язык: Английский

Процитировано

1
The Effect of Exercise Interventions on Sleep Quality and Weight Loss in Individuals with Obesity: A Systematic Review and Meta-Analysis of Randomized Control Trials DOI Creative Commons

Soonjo Ka,

Yu Hyeon Choe,

Young-Im Kim

и другие.

Applied Sciences, Год журнала: 2025, Номер 15(1), С. 467 - 467

Опубликована: Янв. 6, 2025

This study evaluated the effects of exercise interventions on sleep quality and weight loss through a systematic literature review meta-analysis. A comprehensive search was conducted across PubMed, Embase, Web Science, Cochrane Library for publications up to December 2022. Only randomized controlled trials (RCTs) were included in analysis. The Risk Bias assessed using 2 (ROB 2) tool, disagreements resolved by consensus. Data synthesis meta-analysis performed Comprehensive Meta-Analysis Version 4 (CMA version 4) software, with outcomes expressed as pooled effect sizes, odds ratios (ORs), 95% confidence intervals (CIs). Seven RCTs encompassing 908 participants analyzed. indicated significant improvement (OR = 3.93, CI [2.04, 7.56], p < 0.001). combined aerobic resistance regimen showed most substantial quality. Additionally, four seven analysis 2.58, [1.79, 3.71], Exercise have strong potential improving adults obesity. Future studies should focus developing optimized targeted strategies enhancement.

Язык: Английский

Процитировано

0
Role of late-night eating in circadian disruption and depression: a review of emotional health impacts DOI Open Access
Young-Im Kim,

E Kim,

Youngjun Lee

и другие.

Physical Activity and Nutrition, Год журнала: 2025, Номер 29(1), С. 018 - 024

Опубликована: Март 31, 2025

[Purpose] Circadian rhythms regulate key physiological and behavioral processes. Modern lifestyles, characterized by irregular schedules, artificial lighting, late-night eating disrupt these rhythms, leading to metabolic emotional health disturbances. Latenight misaligns the circadian clock, affecting neurotransmitter function, hormonal inflammatory pathways, thereby increasing risk of mood disorders.[Methods] This review synthesizes findings from human animal studies that examined effects on misalignment health. Studies were selected basis ir relevance disruption regulation. categorizes mechanisms involved evaluates dietary timing interventions, such as time-restricted (TRE), earlier meal timing, regularity potential strategies mitigate effects.[Results] Late-night delayed melatonin onset, elevated nocturnal cortisol levels, disrupted serotonin dopamine increased systemic inflammation, contributing instability. Aligning mealtimes with rhythm improves sleep quality, balance, stress resilience. TRE show promise in mitigating effects, although further research is needed optimize for different chronotypes profiles.[Conclusion] Circadian-aligned a practical noninvasive approach adverse Future should refine personalized chrononutrition interventions assess their long-term disorders. Implementing meal-timing based science could serve crucial tool improving public preventing diet-related dysregulation.

Язык: Английский

Процитировано

0
Causal association of lifestyle factors, clinical features in the risk of sleep disorders: Based on mendelian randomization analysis DOI Creative Commons
Jingyu Xu, Baojuan Wang,

Wenxing Zhu

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Дек. 18, 2024

Abstract Objective: To identify potential genetic risk factors for sleep disorders (SD) and to explore the causal associations between lifestyle clinical features with SD, given limitations of traditional observational studies. Methods: Data from published genome-wide association studies (GWAS) were analyzed, encompassing 34 17 as exposures influencing SD. These analyses yielded information on 51 4 outcomes. Outcomes consisted four categories: non-organic (NSD), narcolepsy, rapid eye movement (REM) behavior (RSBD), obstructive apnea (OSA). All variables exposure outcome derived individuals European ancestry. Two-sample MR analysis was conducted, inverse variance weighted (IVW) primary method evaluating effects. Weighted median estimation (WME), MR-Egger (MRE), simple mode (SM), (WM) used supplementary evaluation methods. Results: (1) The protective causally associated NSD include overall physical activity time (OR: 0.35; 95%CI: 0.13-0.99; P=0.048) fresh fruit intake 0.30; 0.12-0.75; P=0.010). (2) that are related narcolepsy smoking 1.02; 1.01-1.03; P=0.001), alcoholic drinks P=0.013 OR: P<0.001), cereal 1.03; 1.00-1.07; P=0.029), salad/raw vegetable 1.10; 1.03-1.16; P=0.002), TDI 1.05; 1.00-1.10; P=0.036), health rating 1.07; 1.05-1.10; BMI 1.02-1.03; FINS 1.06; 1.03-1.09; P<0.001), TG P<0.001) hypertension 1.08; 1.02-1.15; P=0.011). (3) tea 0.95; 0.93-0.97; non-oily fish 0.91; 0.84-0.99; P=0.021), years schooling 0.97; 0.96-0.99; cognitive performance 0.98; 0.97-0.99; P=0.001), average total household income before tax 0.94; 0.93-0.96; ApoA-I 0.99; 0.99-1.00; HDL 0.98-0.99; P<0.001). (4) OSA 1.20; 1.08-1.34; P=0.001 1.15; 1.06-1.25; alcohol 1.12; 1.01-1.24; P=0.037), coffee 1.25; 1.00-1.56; P=0.046), pork 2.55; 1.37-4.74; P=0.003), 1.56; 1.12-2.19; P=0.009), 2.76; 2.20-3.46; 1.97; 1.85-2.11; WHR 1.30; 1.08-1.55; P=0.004), 1.02-1.11; 2.72; 1.73-4.26; CRP 1.01-1.11; P=0.016). (5) bread 0.63; 0.49-0.83; 0.71; 0.56-0.90; P=0.005), dried 0.64; 0.50-0.83; 0.72; 0.66-0.79; 0.79; 0.71-0.87; 0.78; 0.66-0.93; FPG 0.84; 0.75-0.94; P=0.003), 0.90-0.99; P=0.017) 0.89; 0.85-0.93; (6) After multivariate through adjusting BMI, ApoA-I, TG, still exists. Conclusions: evidence this study suggests among factors: NSD. Smoking drinks, intake, poverty, poor rating, high narcolepsy. Tea non oily education cognition, OSA. Bread Among features: is a factor High FINS, hypertension, FPG, There not enough suggest other relationships meet criteria established.

Язык: Английский

Процитировано

0