NCT06869486

Brief Summary

Insomnia is a highly prevalent sleep disorder worldwide, with an increasing incidence in athletes, older adults, university students, and individuals with metabolic syndrome. This disorder has been associated with metabolic dysfunction, cardiovascular diseases, and genetic instability. Recent evidence suggests that insomnia negatively impacts cardiorespiratory fitness, insulin sensitivity, and overall health through mechanisms involving neuroendocrine dysregulation, oxidative stress, and alterations in energy metabolism. However, the specific biological and environmental factors that contribute to its prevalence and health consequences remain poorly understood, particularly across different populations. Understanding these associations is crucial for developing effective prevention and intervention strategies to mitigate the long-term impact of insomnia. Therefore, this study aims to analyze the impact of insomnia on body composition, cardiorespiratory fitness, metabolic flexibility, and DNA integrity, across populations with high prevalence of insomnia, including athletes, older adults, university students, and individuals with metabolic syndrome. This study will also investigate which biological and lifestyle behaviors contribute to insomnia and its health consequences. By doing so, this work will provide critical insights into the physiological and molecular mechanisms that link insomnia with metabolic and cardiovascular dysfunction, contributing to the development of targeted interventions for at-risk populations

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
300

participants targeted

Target at P75+ for all trials

Timeline
8mo left

Started Oct 2024

Typical duration for all trials

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress71%
Oct 2024Dec 2026

Study Start

First participant enrolled

October 1, 2024

Completed
5 months until next milestone

First Submitted

Initial submission to the registry

February 14, 2025

Completed
25 days until next milestone

First Posted

Study publicly available on registry

March 11, 2025

Completed
1.5 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

August 30, 2026

Expected
4 months until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2026

Last Updated

March 11, 2025

Status Verified

March 1, 2025

Enrollment Period

1.9 years

First QC Date

February 14, 2025

Last Update Submit

March 4, 2025

Conditions

Keywords

Physical ActivityPhysical FitnessDNA integrityEndocrinology and Metabolism

Outcome Measures

Primary Outcomes (16)

  • Insomnia severity index

    A Spanish version of the insomnia severity index scale will be applied to examine the absence or presence of clinical insomnia. This five-item scale provides a range score between 0-28 that is interpreted as follows: * 0-7= No clinically significant insomnia * 8-14 subthreshold insomnia * 15-21 Clinical insomnia (moderate severity) * 22-28 Clinical insomnia (severe)

    Day 1

  • Daytime sleepiness

    A Spanish version of the Epworth Sleepiness Scale will be applied to examine day-time sleepiness. This is an 8-items self-administered questionnaire that provides a range score between 0-24, interpreted as follows: * 0-5 Lower Normal Daytime Sleepiness * 6-10 Higher Normal Daytime Sleepiness * 11-12 Mild Excessive Daytime Sleepiness * 13-15 Moderate Excessive Daytime Sleepiness * 16-24 Severe Excessive Daytime Sleepiness

    Day 1

  • Sleep quality Index

    A Spanish version of the Pittsburgh Sleep Quality Index scale will be applied to examine sleep quality. This 9-item scale provides a range score between 0-21 that is interpreted as follows: \*\<5 good sleep quality \*\>5 poor sleep quality

    Day 1

  • Body composition

    Bioelectrical impedance analysis (BIA) will be used to measure the components of the body, including fat mass (kg, %), lean mass (kg, %), muscle mass (kg), visceral adipose tissue area (cm2), phase angle (°), and total body water (L), through a mechanism of resistance and reactance. A multi-frequency device (1-1000 kHz), with 8-point Tactile Electrode System will be used for this measurements (InBody 770, KOR). This system also provides a segmental analysis of fat mass (kg, %), and lean mass (kg, %) (right/left arms or legs, and trunk). A body composition score, ranging from 0-100, will be retrieved from a predetermined algorithm provided by the fabricant.

    Day 1

  • DNA integrity

    The frequency of micronuclei, nuclear buds, basal cells, binucleated cells, condensed chromatin cells, karyorrhexis, karyolysis, and pyknosis will be determined through microscopic examination of exfoliated oral mucosal cells from each participant.

    Day 1

  • OPN4 Single nucleotide polymorphism

    The P10L polymorphism of the OPN4 gene, previously associated with chronic insomnia and severe daytime sleepiness in the Mexican population will be determined using RFLP-PCR assays. DNA will be extracted from previously collected blood samples (4 ml) using the Master Pure DNA purification kit from Epicentre (Illumina Inc., US).

    Day 1

  • Cardiorespiratory fitness

    A cardiopulmonary exercise test in a treadmill will be performed after an overnight fasting. Gas exchange, heart rate, and muscle oxygen saturation levels will be assessed continuously during the entire test. Blood pressure and rate of perceived exertion will be recorded prior the end of each stage whereas blood glucose concentration will be assessed before and after the test. All the hemodynamic parameters will be assessed at rest to standardize the cardio-metabolic condition of the participants prior to exercise testing. Maximal exertion will be requested from all participants except elders, in whom a submaximal test will be applied, following the guidelines provided by the American College of Sports Medicine. From this trial, maximal oxygen uptake, ventilatory thresholds/dynamics, chronotropic and inotropic response, and will be examined. A trained exercise physiologist will supervise all the tests and validate the obtained data.

    Day 1

  • Metabolic flexibility

    A cardiopulmonary exercise test in a treadmill will be performed after an overnight fasting. Gas exchange will be assessed continuously during the entire test to determine fat and carbohydrate oxidation. The maximal rate of fat oxidation, its shape and area under the curve will be defined in conjunction with the workload at which carbohydrates become the predominant energy source (cross over point). The increase in fat oxidation from rest to exercise will be also relativized to the change in energy expenditure to characterize metabolic flexibility. Resting metabolic rate and respiratory quotient will be also assessed at rest to standardize the metabolic condition of the participants prior to exercise testing. A trained exercise physiologist will supervise all the tests and validate the obtained data.

    Day 1

  • Homeostatic Model Assessment of Insulin Resistance

    The serum concentrations of glucose and insulin will be determined under fasting conditions, using a blood chemistry analyzer (Spin120, Spinreact, ESP), and enzyme-linked immunosorbent assays (ELISA) on a microplate reader (iMark, BIORAD, USA) . Serum samples will be obtained by centrifuging peripheral venous blood samples collected in vacutainer tubes under fasting conditions (4-6 mL; 2500 rpm for 10 minutes). The Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) will be then calculated with the following equation: HOMA-IR = glucose (mg/dL) x insulin (uU/mL) / 405

    Day 1

  • Cholesterol

    Total cholesterol (mg/dL) will be will be assessed in a blood chemistry analyzer (Spin120, Spinreact, ESP). For this, serum samples will be obtained by centrifuging peripheral venous blood samples collected in Vacutainer tubes under fasting conditions (4-6 mL; 2500 rpm for 10 minutes).

    Day 1

  • Triglycerides

    Triglycerides levels (mg/dL) will be will be assessed with a blood chemistry analyzer (Spin120, Spinreact, ESP). For this, serum samples will be obtained by centrifuging peripheral venous blood samples collected in Vacutainer tubes under fasting conditions (4-6 mL; 2500 rpm for 10 minutes).

    Day 1

  • High-density lipoproteins

    High-density lipoproteins concentration (mg/dL) will be will be assessed with a blood chemistry analyzer (Spin120, Spinreact, ESP). For this, serum samples will be obtained by centrifuging peripheral venous blood samples collected in Vacutainer tubes under fasting conditions (4-6 mL; 2500 rpm for 10 minutes).

    Day 1

  • Insulin-like growth factor 1

    The concentration of Insulin-like growth factor 1 (0.1 - 30 ng/mL) will be will be assessed through an enzyme-linked immunosorbent assays (ELISA) on a microplate reader (iMark, BIORAD, USA). For this, serum samples will be obtained by centrifuging peripheral venous blood samples collected in Vacutainer tubes (4-6 mL; 2500 rpm for 10 minutes).

    Day 1

  • Vascular endothelial growth factor

    The concentration of vascular endothelial growth factor (31.3 - 2,000 pg/mL) will be will be assessed through an enzyme-linked immunosorbent assays (ELISA) on a microplate reader (iMark, BIORAD, USA). For this, serum samples will be obtained by centrifuging peripheral venous blood samples collected in Vacutainer tubes (4-6 mL; 2500 rpm for 10 minutes).

    Day 1

  • Estradiol

    The concentration of Estradiol (10 pg/ml - 4300 pg/mL) in young women will be will be assessed through an enzyme-linked immunosorbent assays (ELISA) on a microplate reader (iMark, BIORAD, USA). For this, serum samples will be obtained by centrifuging peripheral venous blood samples collected in Vacutainer tubes (4-6 mL; 2500 rpm for 10 minutes). Current stage of the menstrual cycle and contraceptive use will be recorded for a proper interpretation of Estradiol levels.

    Day 1

  • Progesterone

    The concentration of Progesterone (0.15 ng/mL - 128 ng/mL) in young women will be will be assessed through an enzyme-linked immunosorbent assays (ELISA) on a microplate reader (iMark, BIORAD, USA). For this, serum samples will be obtained by centrifuging peripheral venous blood samples collected in Vacutainer tubes (4-6 mL; 2500 rpm for 10 minutes). Current stage of the menstrual cycle and contraceptive use will be recorded for a proper interpretation of Estradiol levels.

    Day 1

Secondary Outcomes (7)

  • Nutrition

    Responding the food frequency questionnaire will take around 10 minutes and the questionnaire will be applied at the single visit the subjects will be requested to attend the laboratory.

  • Self-Reported Physical Activity Level

    Day 1

  • Perceived Stress

    Day 1

  • Depressive symptoms

    Day 1

  • Ruminative thinking

    Day 1

  • +2 more secondary outcomes

Study Arms (5)

Healthy young adults

This group consists of individuals aged 18-35 with no prior diagnosis of insomnia, sleep disorders, or chronic metabolic conditions. Body composition, cardiorespiratory fitness, lifestyle behaviors, DNA integrity and metabolic flexibility will be examined in all participants.

Other: ExerciseOther: Bioelectrical ImpedanceGenetic: Micronucleus AssayBehavioral: Physical activity and sedentary timeBehavioral: SleepBiological: blood samplingBehavioral: psychometricsBehavioral: Nutritional SupplementGenetic: Genotyping

College Students

University students aged 18-35 years, with current affiliation to the Universidad Autonoma de Baja California. Body composition, cardiorespiratory fitness, lifestyle behaviors, DNA integrity and metabolic flexibility will be examined in all participants.

Other: ExerciseOther: Bioelectrical ImpedanceGenetic: Micronucleus AssayBehavioral: Physical activity and sedentary timeBehavioral: SleepBehavioral: psychometricsBehavioral: Nutritional SupplementGenetic: Genotyping

Athletes

Amateur and professional athletes with 2 years of training and competitive experience. Body composition, cardiorespiratory fitness, lifestyle behaviors, DNA integrity and metabolic flexibility will be examined in all participants.

Other: ExerciseOther: Bioelectrical ImpedanceGenetic: Micronucleus AssayBehavioral: Physical activity and sedentary timeBehavioral: SleepBiological: blood samplingBehavioral: psychometricsBehavioral: Nutritional SupplementGenetic: Genotyping

Elders

Older adults (65-75 years) without a medical history of cognitive disorders or mental health issues. Body composition, cardiorespiratory fitness, lifestyle behaviors, DNA integrity and metabolic flexibility will be examined in all participants.

Other: ExerciseOther: Bioelectrical ImpedanceGenetic: Micronucleus AssayBehavioral: Physical activity and sedentary timeBehavioral: SleepBiological: blood samplingBehavioral: psychometricsBehavioral: Nutritional SupplementGenetic: Genotyping

Metabolic syndrome

Individuals aged 18-35 with previous diagnosis of metabolic syndrome. Body composition, cardiorespiratory fitness, lifestyle behaviors, DNA integrity and metabolic flexibility will be examined in all participants.

Other: ExerciseOther: Bioelectrical ImpedanceGenetic: Micronucleus AssayBehavioral: Physical activity and sedentary timeBehavioral: SleepBiological: blood samplingBehavioral: psychometricsBehavioral: Nutritional SupplementGenetic: Genotyping

Interventions

A cardiopulmonary exercise test in a treadmill will be performed after an overnight fasting. Gas exchange, heart rate, and muscle oxygen saturation levels will be assessed continuously during the entire test. Blood pressure and rate of perceived exertion will be recorded prior the end of each stage whereas blood glucose concentration will be assessed before and after the test. All the hemodynamic parameters will be assessed at rest to standardize the cardio-metabolic condition of the participants prior to exercise testing. Maximal exertion will be requested from all participants except elders, in whom a submaximal test will be applied, following the guidelines provided by the American College of Sports Medicine. From this trial, maximal oxygen uptake, ventilatory thresholds/dynamics, chronotropic and inotropic response, and metabolic flexibility will be examined. A trained exercise physiologist will supervise all the tests and validate the obtained data.

Also known as: Cardiopulmonary Exercise Testing
AthletesCollege StudentsEldersHealthy young adultsMetabolic syndrome

Bioelectrical impedance analysis will be used to estimate body compartments through a mechanism of resistance and reactance (InBody 770, KOR) . The compartments measured include body cell mass, fat mass, extracellular tissue, lean mass, muscle mass, visceral adipose tissue area, phase angle, among others.

AthletesCollege StudentsEldersHealthy young adultsMetabolic syndrome

The frequency of micronuclei, nuclear buds, basal cells, binucleated cells, condensed chromatin cells, karyorrhexis, karyolysis, and pyknosis will be determined through microscopic examination of exfoliated oral mucosal cells from each participant.

AthletesCollege StudentsEldersHealthy young adultsMetabolic syndrome

Physical activity and sedentary time will be assessed through the Spanish version of the International Questionnaire of Physical activity. In half of the analyzed subjects a wearable device (Fitbit luxe, Fit bit Inc) will be also used to record daily steps, energy expenditure and heart rate patterns.

AthletesCollege StudentsEldersHealthy young adultsMetabolic syndrome
SleepBEHAVIORAL

Insomnia severity index, sleep quality, somnolence and chronotype will be subjectively assessed in all participants, using validated scales such as the Pittsburgh, Epworth and ISI questionnaires. In half of the participants, sleep quality will be tracked by wearing a Fit band luxe device in the wrist.

Also known as: Sleep quality, Sleep disorders
AthletesCollege StudentsEldersHealthy young adultsMetabolic syndrome
blood samplingBIOLOGICAL

The concentrations of glucose, glycated hemoglobin, and lipid profile will be determined through serum analysis using a blood chemistry analyzer (Spin120, Spinreact, ESP). Serum samples will be obtained by centrifuging peripheral venous blood samples (4-6 mL) collected in Vacutainer tubes at 2500 rpm for 10 minutes. From the same serum samples, circulating levels of insulin, ovarian hormones (estradiol and progesterone), insulin-like growth factor 1 (IGF-1), and vascular endothelial growth factor (VEGF) will be assessed using enzyme-linked immunosorbent assays (ELISA) on a microplate reader (iMark, BIORAD, USA), following the specifications provided by each kit manufacturer (Biotechne, USA; AccuBind, GUA). Glucose, insulin and triglyceride values obtained from the blood chemistry analyzer and ELISA assays will be used to calculate the Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) and the triglyceride-glucose index.

Also known as: Blood chemistry
AthletesEldersHealthy young adultsMetabolic syndrome
psychometricsBEHAVIORAL

Perceived stress will be obtained from the Perceived Stress Scale adapted for Mexican population. Additionally, depression and anxiety scores will be obtained from the Becks Depression Inventory, validated in Mexican adults. Ruminative thinking will be assessed through the short version of the Ruminative Responses Scale and substance abuse will be examined through the 10-items Drug Abuse Screening Test. Social media disorder and screen time will be also investigated from the Social Media Disorder Test and a cell-phone screen capture.

AthletesCollege StudentsEldersHealthy young adultsMetabolic syndrome

A semi quantitative food frequency questionnaire will be applied to collect data about macronutrient intake and supplements consumption. Hierarchical consumption of each food groups will be also assessed. Last meal consumed prior to exercise testing will be also recorded in conjunction with fasting time.

Also known as: Macronutrient intake
AthletesCollege StudentsEldersHealthy young adultsMetabolic syndrome
GenotypingGENETIC

The P10L polymorphism of the OPN4 gene, previously associated with chronic insomnia and severe daytime sleepiness in the Mexican population will be determined using RFLP-PCR assays. DNA will be extracted from previously collected blood samples (4 ml) using the Master Pure DNA purification kit from Epicentre (Illumina Inc., US).

AthletesCollege StudentsEldersHealthy young adultsMetabolic syndrome

Eligibility Criteria

Age18 Years - 75 Years
Sexall(Gender-based eligibility)
Gender Eligibility DetailsTransgender and intersex people wont be considered for this study given that hormonal therapy could influence many of the metabolic and cardiorespiratory outcomes that will be examined in this study. People identified as heterosexual, bisexual, or gay/lesbian will be considered for participation if they fulfill the criteria settled for each study cohort.
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

The study will recruit 60 healthy individuals, 60 athletes, 60 university students, 60 older adults, and 60 individuals with metabolic syndrome, ensuring a 1:1 male-to-female ratio in all groups . Participants will be classified based on the presence or absence of insomnia (cases vs. controls), allowing for comparisons of physiological and molecular indicators related to insomnia.

You may qualify if:

  • Healthy Individuals (18-35 years old, men and women)
  • Waist circumference: \<90 cm (men), \<80 cm (women)
  • Fasting glucose: 70-110 mg/dL
  • Blood pressure: \<120/80 mmHg
  • Triglycerides: \<150 mg/dL
  • HDL-C: \>40 mg/dL (men), \>50 mg/dL (women)
  • Physical activity level: 600-1500 MET-min/week
  • Athletes (18-35 years old, men and women)
  • \*Engaged in structured sports training with a physical activity level \>1500 MET-min/week
  • Older Adults (65-75 years old, men and women)
  • \*Free of cognitive or mental health disorders. No specific cardiometabolic or body composition criteria due to the study's exploratory nature.
  • University Students (18-35 years old, men and women)
  • \*No specific cardiometabolic or body composition criteria due to the study's exploratory nature.
  • Individuals with Metabolic Syndrome (18-35 years old, men and women)
  • Waist circumference: \>90 cm (men), \>80 cm (women)
  • +5 more criteria

You may not qualify if:

  • Individuals with respiratory diseases or musculoskeletal injuries that prevent exercise, as determined by a clinical history review, a physical activity readiness questionnaire (PART-Q+), and pulmonary function tests (spirometry).
  • Individuals with rotating or night-shift work schedules (e.g., emergency personnel, security guards), as circadian rhythm disruptions significantly impact sleep quality
  • Women diagnosed with polycystic ovary syndrome (PCOS) or showing high testosterone levels with a history of oligomenorrhea, as these conditions may influence metabolic and hormonal markers. However, women with menstrual irregularities related to premenstrual syndrome (PMS) or dysmenorrhea will not be excluded, given the established link between sleep disorders and menstrual cycle variations

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Laboratorio de Fisiologia Aplicada al Ejercicio

Ensenada, Estado de Baja California, 22890, Mexico

RECRUITING

Related Publications (14)

  • Gonzalez-Ramirez MT, Rodriguez-Ayan MN, Hernandez RL. The perceived stress scale (PSS): normative data and factor structure for a large-scale sample in Mexico. Span J Psychol. 2013;16:E47. doi: 10.1017/sjp.2013.35.

    PMID: 23866243BACKGROUND
  • Chavez-Guevara IA. Assessment of metabolic flexibility by measuring maximal fat oxidation during submaximal intensity exercise: Can we improve the analytical procedures? Sports Med Health Sci. 2023 Feb 14;5(2):156-158. doi: 10.1016/j.smhs.2023.02.001. eCollection 2023 Jun.

    PMID: 37424534BACKGROUND
  • Duan D, Kim LJ, Jun JC, Polotsky VY. Connecting insufficient sleep and insomnia with metabolic dysfunction. Ann N Y Acad Sci. 2023 Jan;1519(1):94-117. doi: 10.1111/nyas.14926. Epub 2022 Nov 13.

    PMID: 36373239BACKGROUND
  • de Souza DV, Rosario BDA, Viana MB, Pisani LP, da Silva GN, Ribeiro DA. Sleep deprivation induces genetic damage in mammalian cells: a systematic review. Rev Assoc Med Bras (1992). 2024 Mar 15;70(1):e20231097. doi: 10.1590/1806-9282.20231097. eCollection 2024. No abstract available.

    PMID: 38511758BACKGROUND
  • Serra Laborde, P. L., Torterolo Pizzuti, C., & Calvo Pesce, M. S. (2023). Calidad y cronotipo del sueño y su relación con la obesidad en población adulta. Revisión bibliográfica narrativa. Enfermería: Cuidados Humanizados, 12(2), e3213. https://doi.org/10.22235/ech.v12i2.3213

    BACKGROUND
  • Zada D, Bronshtein I, Lerer-Goldshtein T, Garini Y, Appelbaum L. Sleep increases chromosome dynamics to enable reduction of accumulating DNA damage in single neurons. Nat Commun. 2019 Mar 5;10(1):895. doi: 10.1038/s41467-019-08806-w.

    PMID: 30837464BACKGROUND
  • Strand LB, Laugsand LE, Wisloff U, Nes BM, Vatten L, Janszky I. Insomnia symptoms and cardiorespiratory fitness in healthy individuals: the Nord-Trondelag Health Study (HUNT). Sleep. 2013 Jan 1;36(1):99-108. doi: 10.5665/sleep.2310.

    PMID: 23288976BACKGROUND
  • Knutson KL, Van Cauter E, Zee P, Liu K, Lauderdale DS. Cross-sectional associations between measures of sleep and markers of glucose metabolism among subjects with and without diabetes: the Coronary Artery Risk Development in Young Adults (CARDIA) Sleep Study. Diabetes Care. 2011 May;34(5):1171-6. doi: 10.2337/dc10-1962. Epub 2011 Mar 16.

    PMID: 21411507BACKGROUND
  • Chaput JP, McHill AW, Cox RC, Broussard JL, Dutil C, da Costa BGG, Sampasa-Kanyinga H, Wright KP Jr. The role of insufficient sleep and circadian misalignment in obesity. Nat Rev Endocrinol. 2023 Feb;19(2):82-97. doi: 10.1038/s41574-022-00747-7. Epub 2022 Oct 24.

    PMID: 36280789BACKGROUND
  • Jiang XL, Zheng XY, Yang J, Ye CP, Chen YY, Zhang ZG, Xiao ZJ. A systematic review of studies on the prevalence of insomnia in university students. Public Health. 2015 Dec;129(12):1579-84. doi: 10.1016/j.puhe.2015.07.030. Epub 2015 Aug 20.

    PMID: 26298588BACKGROUND
  • Zeng LN, Zong QQ, Yang Y, Zhang L, Xiang YF, Ng CH, Chen LG, Xiang YT. Gender Difference in the Prevalence of Insomnia: A Meta-Analysis of Observational Studies. Front Psychiatry. 2020 Nov 20;11:577429. doi: 10.3389/fpsyt.2020.577429. eCollection 2020.

    PMID: 33329116BACKGROUND
  • Benjamins JS, Migliorati F, Dekker K, Wassing R, Moens S, Blanken TF, Te Lindert BHW, Sjauw Mook J, Van Someren EJW. Insomnia heterogeneity: Characteristics to consider for data-driven multivariate subtyping. Sleep Med Rev. 2017 Dec;36:71-81. doi: 10.1016/j.smrv.2016.10.005. Epub 2016 Nov 9.

    PMID: 29066053BACKGROUND
  • Bhaskar S, Hemavathy D, Prasad S. Prevalence of chronic insomnia in adult patients and its correlation with medical comorbidities. J Family Med Prim Care. 2016 Oct-Dec;5(4):780-784. doi: 10.4103/2249-4863.201153.

    PMID: 28348990BACKGROUND
  • Carrillo-Mora, P., Barajas-Martinez, K.G., Sanchez-Vazquez, I., Rangel-Caballero, M.F. (2017). Trastornos del sueño: ¿qué son y cuáles son sus consecuencias? Revista de la Facultad de Medicina de la UNAM, 61(1), 6-20.

    BACKGROUND

Biospecimen

Retention: SAMPLES WITH DNA

Buccal epithelial cells and blood samples

MeSH Terms

Conditions

Sleep Initiation and Maintenance DisordersMetabolic DiseasesMotor Activity

Interventions

ExerciseExercise TestElectric ImpedanceMicronucleus TestsSleepBlood Specimen CollectionBlood Chemical AnalysisPsychometricsDietary SupplementsEatingGenotype

Condition Hierarchy (Ancestors)

Sleep Disorders, IntrinsicDyssomniasSleep Wake DisordersNervous System DiseasesMental DisordersNutritional and Metabolic DiseasesBehavior

Intervention Hierarchy (Ancestors)

Motor ActivityMovementMusculoskeletal Physiological PhenomenaMusculoskeletal and Neural Physiological PhenomenaHeart Function TestsDiagnostic Techniques, CardiovascularDiagnostic Techniques and ProceduresDiagnosisRespiratory Function TestsDiagnostic Techniques, Respiratory SystemErgometryInvestigative TechniquesElectric ConductivityElectricityElectromagnetic PhenomenaMagnetic PhenomenaPhysical PhenomenaMutagenicity TestsGenetic TechniquesNervous System Physiological PhenomenaSpecimen HandlingClinical Laboratory TechniquesPuncturesSurgical Procedures, OperativeClinical Chemistry TestsPsychological TestsBehavioral Disciplines and ActivitiesFoodDiet, Food, and NutritionPhysiological PhenomenaFood and BeveragesNutritional Physiological PhenomenaDigestive System Physiological PhenomenaDigestive System and Oral Physiological PhenomenaGenetic Phenomena

Study Officials

  • Isaac A Chavez-Guevara, PhD

    Universidad Autonoma de Baja California

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Ivan Renteria, PhD

CONTACT

Study Design

Study Type
observational
Observational Model
CASE CONTROL
Time Perspective
CROSS SECTIONAL
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
PhD, Biological Chemistry

Study Record Dates

First Submitted

February 14, 2025

First Posted

March 11, 2025

Study Start

October 1, 2024

Primary Completion (Estimated)

August 30, 2026

Study Completion (Estimated)

December 31, 2026

Last Updated

March 11, 2025

Record last verified: 2025-03

Data Sharing

IPD Sharing
Will share

Throughout the study, personal data collected from participants will include medical affiliation, family and personal medical history, social security number, socioeconomic information, and contraceptive use (for women only). These data, along with all clinical, psychometric, and behavioral information, will be accessible exclusively to the principal investigator and the research team.

Shared Documents
STUDY PROTOCOL, SAP, ICF, CSR, ANALYTIC CODE
Time Frame
All individual records will be kept for five years following the Official Mexican Standard for the management of clinical records in human research. After this period, physical documents will be shredded and disposed of properly.
Access Criteria
All participant records will be securely stored in the Laboratory of Applied Exercise Physiology, with physical documents kept under restricted access and digital records stored in a private Google Drive folder. To further protect participant confidentiality, once individual analyses are completed, all identifying information will be removed, and data will be anonymized in an Excel database. Only aces to final datasets will be available to researchers associated to this study after appropiate request via Google Drive. Only verified institutional emails will be accepted.

Locations