Health is beyond genetics: on the integration of lifestyle and environment in real-time for hyper-personalized medicine

Frontiers in Public Health, Journal Year: 2025, Volume and Issue: 12

Published: Jan. 7, 2025

Hyper-personalized medicine represents the cutting edge of healthcare, which aims to tailor treatment and prevention strategies uniquely each individual. Unlike traditional approaches, often adopt a one-size-fits-all or even broadly personalized approach based on broad genetic categories, hyper-personalized considers an individual's comprehensive health data by integrating unique biological, genetic, lifestyle, environmental influences. This method goes beyond simple profiling recognizing that outcomes are influenced complex interactions among our environment, daily routines, physiological processes responses.Central is integration lifestyle factors. Lifestyle habits, such as diet (Dalwood et al., 2020; Genel Marx Hepsomali & Groeger, 2021; Dinu 2022; Yang Sadler 2024), exercise (Chow Qiu Ross D'Onofrio 2023; Isath Mahindru Ashcroft 2024; Ponzano sleep patterns (Hepsomali Baranwal Eshera Lim Sletten Uccella, Weinberger 2023), directly impact health. Hence, understanding these factors helps interventions align with day-to-day realities Environmental factors, air quality (Cheek Markandeya Shukla Tang Abdul-Rahman Bedi Bhattacharya, climate (Coates Ebi Helldén Reismann Rocque Zhang Münzel Palmeiro-Silva exposure pollutants (Qadri Faiq, 2019; Petroni Lin Sun Xu Yu Levin Shetty Deziel Villanueva Sharma also play significant roles in determining outcomes. By continuously monitoring analyzing elements, healthcare providers can create dynamic plans adapt real-time changes. would allow for proactive measures optimized care.To enable model care, advanced technologies like quantum computing, artificial general intelligence (AGI), internet things (IoT), 6G connectivity crucial roles. Quantum computing offers ability process vast intricate datasets, those required between markers, exposures, choices, far greater speed accuracy than classical (Munshi Kumar Stefano, Ullah Garcia-Zapirain, 2024). AGI, its adaptive learning capabilities, analyze make sense this provide precise, evolving recommendations change patient's environment does (Liu Mitchell, Tu IoT devices, including wearables sensors, gather continuous from individuals, tracking physical activity, biometrics, conditions humidity (Puri Islam Mathkor Rocha Šajnović Salam, With advent connectivity, seamlessly transferred processed real time, enabling instant feedback intervention (Nayak Patgiri, Nguyen Ahad Kumar, Kaur, Mahmood Mihovska 2024).Together, form backbone model, will push medical practices highly responsive, individual-centered As advancements continue evolve, has potential fundamentally reshape offering truly support long-term well-being.

Language: Английский

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Better sleep hygiene is associated with better sleep health in mining shift workers in Australia

Journal of Sleep Research, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 10, 2025

Summary Australia's mine sites are largely situated in remote locations and operate around the clock. Many shift workers fly to site, where they work 12‐hr shifts sleep camp accommodation before return home for period rostered off work. Mining experience poor sleep, yet limited research is available on contributing factors. This study investigated, first time, relationship between health hygiene this population. A survey was disseminated mining industry, utilising a cross‐sectional design. The Sleep Health Index Hygiene questionnaires were used evaluate their hygiene, respectively. In total, 470 (mean age [years]: 39 ± 12, mean body mass index [kg m −2 ]: 28 5) included, which involved 132 females. Average scores 76 15 30 7, Better observed with better ( β = −0.52, SE 0.09 [−0.71, −0.34], p < 0.001). Differences found individual items related “sleep regularity”, environment”, “mental health” “time bed extension”. However, no differences “caffeine, alcohol or nicotine consumption” “exercise” close bedtime “bedtime activities” > 0.05 all). These findings demonstrate health; therefore, it may be possible improve of by improving hygiene.

Language: Английский

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Sleep-wake patterns of fencing athletes: a long-term wearable device study

PeerJ, Journal Year: 2025, Volume and Issue: 13, P. e18812 - e18812

Published: Jan. 14, 2025

Objective Sleep is the most efficient means of recovery for athletes, guaranteeing optimal athletic performance. However, many athletes frequently experience sleep problems. Our study aims to describe sleep-wake patterns fencing and determine whether factors, such as sex, competitive level training schedules, could affect rhythm. Methods data from 23 were collected using Huawei Band 6, monitoring key parameters bedtime, wake time, duration deep light sleep, periods, REM duration, nap duration. During this period, required wear band continuously 24 hours daily, except bathing, charging, competition times. Results Athletes averaged 7.97 per night, with significant differences observed in time ( p = 0.015) midpoint 0.048) between high-level low-level well a higher frequency naps among χ 2 11.97, 0.001) female 3.88, 0.049) athletes. Nap was negatively correlated night r − 0.270, < 0.001). changes Monday Sunday. On Mondays, Wednesdays, Fridays, when there no morning training, athletes’ wake-up shifted significantly backward, days rest days. Conclusion The differ according gender. are influenced by indicating presence rhythm disruption.

Language: Английский

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Irregular sleep/wake patterns in student-athletes exposed to early morning training

Journal of Sports Sciences, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 10

Published: Jan. 20, 2025

This study aimed to examine the sleep parameters and sleep/wake regularity of a cohort student-athletes who start training between 06:30 07:00. Twenty-one male Rugby Union players, aged 21 ± 2 years competing at national level, were assessed using actigraphy over two weeks, Athlete Sleep Screening Questionnaire (ASSQ). Sleep/wake was calculated Regularity Index (SRI). Wilcoxon signed-rank tests showed that nocturnal preceding morning had significantly shorter duration (1.8 hr, r = .67), advanced onset (0.9 .50) offset times (3.2 .85) compared free days. The variability demands resulted in an inconsistent pattern consecutive days, resulting median SRI score 67.0 (interquartile range: 17.0). Pearson correlations revealed lower associated with higher daily including naps (r -.62), delayed -.50) -.60), later chronotype ASSQ .52). These findings indicate early is factor contributing irregular patterns student-athletes, where feasible should be scheduled alternative time.

Language: Английский

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Sleep Irregularity and Circadian Rhythmicity: Implications for Health and Well-Being

Current Sleep Medicine Reports, Journal Year: 2025, Volume and Issue: 11(1)

Published: Jan. 28, 2025

Language: Английский

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Accelerometry-derived features of physical activity, sleep and circadian rhythm relate to non-motor symptoms in individuals with isolated REM sleep behavior disorder

Journal of Neurology, Journal Year: 2025, Volume and Issue: 272(3)

Published: Feb. 11, 2025

Abstract Accelerometry enables passive, continuous, high-frequency monitoring under free-living conditions. For individuals with isolated REM sleep behavior disorder (iRBD), a potential prodromal phase of Parkinson’s disease (PD) and dementia Lewy bodies, accelerometry has been primarily applied to aid diagnosis assess phenoconversion risk. To extend this knowledge, we cross-sectionally combined clinical assessments focusing on non-motor symptoms accelerometry-derived features physical activity (PA), sleep, circadian rhythm N = 68 iRBD (age: 69.48 ± 6.01 years, self-reported RBD symptom duration: 9.46 6.21 85 % male). Accelerometry-assessed PA was associated more stable rhythms. Additionally, higher rhythms were linked lower burden overall symptoms, depressive fatigue small moderate effect sizes. Furthermore, including improved the prediction individual scores, particularly for cognitive performance. Our findings contribute growing body evidence highlighting complex interplay between PA, rhythm, in α-synucleinopathies. Future research should focus longitudinal studies monitor changes outcomes digital biomarkers over time enhance our understanding progression corresponding lifestyle manifest

Language: Английский

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Body mass index is associated with subjective workload and REM sleep timing and in young healthy adults

Open Health, Journal Year: 2025, Volume and Issue: 6(1)

Published: Jan. 1, 2025

Abstract Sleep is essential for the homeostasis of various brain and body functions. Timing, duration, composition sleep are controlled by internal oscillators. In modern society, timing largely dictated environmental factors. There increasing evidence that a severe mismatch between needs external demands leads to circadian misalignment, which detrimental physical mental health. The aim present study was examine relationships amount sleep/sleep stages on weekdays, mass index (BMI), psychosocial stress due perceived workload in relatively homogeneous cohort young lean healthy adults. We used longitudinal real-life Fitbit (Inspire) data combination with questionnaire among first-year medical students ( n = 59) conducted correlation-based network analysis. BMI within normal weight range sample. A stronger temporal alignment rapid eye movement (REM) total higher individual variability associated BMI, lower subjective workload. Our suggest an interaction timing, general, REM particular, metabolic resilience stress.

Language: Английский

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Associations between intraindividual variability in weekday-weekend sleep timing and duration and eating disorder pathology

Eating Behaviors, Journal Year: 2025, Volume and Issue: 57, P. 101959 - 101959

Published: Feb. 16, 2025

Language: Английский

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Stress, positive affect, and sleep in older African American adults: a test of the stress buffering hypothesis

Annals of Behavioral Medicine, Journal Year: 2025, Volume and Issue: 59(1)

Published: Jan. 1, 2025

Abstract Background Although sleep disparities contribute to racial health disparities, little is known about factors affecting among African Americans. One such factor may be positive affect, which could impact directly (direct effect hypothesis) or indirectly by buffering the effects of stress (stress hypothesis). Purpose We tested direct and affect on at three levels (day, week, trait) in a sample 210 older American adults, ranging age from 50 89 years old. Method Daily perceived stress, quality, duration were collected for five consecutive days. Multilevel modeling was used test hypotheses both within-person (day level) between-persons (week level). Trait past five-year severity, global quality assessed cross-sectionally. Regression trait level. Results In line with hypothesis, higher week-level predicted better duration. Day-level not significantly associated daily Higher quality. However, neither day-level nor severity interacted measures any outcome; no interaction observed Positive week level predict but hypothesized direction. Conclusions found support hypothesis week- trait-levels, day contrast, we hypothesis.

Language: Английский

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Multidimensional Sleep Health: Definitions and Implications for Cardiometabolic Health: A Scientific Statement From the American Heart Association

Circulation Cardiovascular Quality and Outcomes, Journal Year: 2025, Volume and Issue: unknown

Published: April 14, 2025

Poor sleep health is associated with cardiometabolic disease and related risk factors, including heart disease, stroke, elevated blood pressure lipid levels, inflammation, glucose intolerance, obesity, physical inactivity, poor diet, unhealthy substance use, mental health, increased all-cause cardiovascular mortality, social determinants of disparities. Therefore, duration has been recognized by the American Heart Association as one Life’s Essential 8. Although chronic sole metric used in 8, represents a multidimensional construct. This scientific statement outlines concept (sleep duration, continuity, timing, regularity, sleep-related daytime functioning, architecture, absence disorders) it applies to health. Considerations how these dimensions are patterned sociodemographic status explained, knowledge gaps highlighted. Additional data needed understand better various should be assessed interventions targeting clinical community settings can leveraged improve

Language: Английский

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