StressNCT03436706
Pre-adolescent Stress and Health Study
An observational study of Stress, run by Penn State University.
Trial summary
Aim 1: To characterize allostatic load (AL) biomarkers in a sample of low-income early adolescents (N = 225). How many children living in low-income homes have atypical or out-of-range biomarker levels, on which biomarkers, and in what combinations (Aim 1a)? Do AL biomarker elevations predict physical and mental… Read more about this study
- Who is it for?
- Ages 132 to 156 months
- Conditions the study is for
- Stress
- What is being tested?
- exposure
- How many people
- 0 participants
- Where
- No sites listed yet
- Study dates
- Jan 2019to Dec 2024
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 132 to 156 months
- All sexes
- Child
Study population: Children living in or near Hershey, Pennsylvania who are living below the federal poverty line. These children and their families are known to experience higher levels of stress the health disparities as a result of living with poverty-related stress.
Who may be able to join
- Child
- Age: 11-12 years (inclusive) at the time of enrollment
- Sex: male or female
- Fluent in written and spoken English
- Parent/Guardian
- Age: ≥18 years
Show all 9Show fewer
- Sex: male or female
- Fluent in written and spoken English
- Families incomes ≤ 200% of the 2018 federal poverty line per table below:
Who cannot join
- Child
- Age: <11 or ≥13 years at the time of enrollment
- Cognitive impairment
- Pregnant (if female)
- Chronic illness (e.g. psychiatric disorder, cancer or heart disease) or any other medical condition that in the opinion of the investigator disqualifies the subject from participation in the research.
- Parent/Guardian
Show all 9Show fewer
- Age: ≥18 years
- Cognitive impairment
- Prisoner
About this study
Aim 1: To characterize allostatic load (AL) biomarkers in a sample of low-income early adolescents (N = 225). How many children living in low-income homes have atypical or out-of-range biomarker levels, on which biomarkers, and in what combinations (Aim 1a)? Do AL biomarker elevations predict physical and mental health problems in early adolescence (Aim 1b)? How much and what type of change in AL biomarkers occurs between ages 11 and 14 (Aim 1c)?
Aim 2: To investigate in the same sample of early adolescents exposed to varying levels of early life stress (ELS), the relative contributions made by ELS, recent (past year), and cumulative (since age 5) stress exposures to initial AL levels at T1 (Aim 2a), and to changes in AL across the two years of the study (Aim 2b).
Aim 3: To explore the extent to which coping resources, including children's coping skills, children's physiologic self-regulation, and parental coping socialization, uniquely and synergistically influence AL levels and accumulations in these early adolescents.
Read the detailed description
Childhood adversity is associated with premature diseases of aging, most forms of psychopathology, and early mortality, and chronic stress is a critical mechanism of this phenomenon. Biologically informed interventions are sorely needed to break this pernicious cycle, but very little research has examined potentially malleable psychobiological risk and protective processes during childhood that could be leveraged in interventions. Allostatic Load (AL)-the accumulation of biological insults sustained by the body's attempts to maintain homeostasis in the face of chronic stress-is recognized as one such risk process. Most AL research has thus far been conducted with adults, but the emerging research with adolescents suggests that in-depth examination of AL accumulation processes during early adolescence may yield critical insights needed to develop psychobiologically potent interventions. Coping and self-regulation are potential malleable protective processes, but they have not received much attention in AL research to date. This R01 project will therefore examine the accumulation of AL biomarkers in early adolescence, and will test the contributions of stress (early life, cumulative, recent) and of coping resources (coping skills, parent coping socialization, physiologic regulation) to AL accumulation. In addition, we will examine associations between AL and the emergence of premature diseases of aging (e.g., type II diabetes, metabolic syndrome) by mid-adolescence.
Elevated AL biomarkers have been detected in samples of disadvantaged preadolescents (e.g., Evans, 2003; Keller et al., 2012; Rogosch et al. 2011), and are correlated with health problems in this population. Nevertheless, numerous important gaps in our understanding of youth AL processes remain. First, AL is not well characterized in child or adolescent samples. Most existing research involving children focuses only on select aspects of the AL index (such as cortisol), and a comprehensive assessment of the major classes of biomarkers indicated in AL (metabolic, cardiovascular, immunologic, neuroendocrine) in at-risk children is lacking. Second, the absence of clinical benchmarks linking AL to disease in children is a major limiting factor, which coupled with lower base rates of AL-linked diseases in children, calls into question the typical practice of calculating an AL index using adult thresholds (i.e., upper quartile of range). Third, it is unclear to what extent recent and cumulative stressors experienced after the early life period (birth to age 5) contribute to the development of AL over and above early life stress (ELS) in any age group, and many AL studies do not include in-depth assessments of life stress. Fourth, little is known about the extent to which coping resources (youth coping skills, coping socialization) can buffer children from the development and/or worsening of AL over time. This is a critical question as the lead PI's research has shown that coping skills and resources can buffer at-risk children (e.g., in poverty) from common stressors and that coping has effects on primary neuroendocrine mediators of AL such as the HPA (Wadsworth et al., 2016; Bendezu \& Wadsworth, 2017).
The present project will build on the unique strengths and capacities of the two PIs and their co-investigator and will include state-of-the-art assessments of stress, coping resources, and AL to fully capture these processes at multiple levels of analysis. Two-hundred 11-12 year old Medicaid-enrolled patients will be recruited by experienced pediatric research nurses at Penn State Hershey Hope Drive Pediatrics. Twenty-five additional 11-12 year old patients whose families are not Medicaid eligible will serve as a middle class comparison group for biomarker benchmarking. This research affiliated pediatrics practice conducts 40,000 patient visits per year and enrolls patients from both rural and urban communities across central PA. Youth will be followed across two years and participate in three annual assessments. Biological samples will include blood draws, overnight urine, and saliva samples taken at each time point. Assessments will further include (a) parent and child Youth Life Stress Interviews to obtain indices of early, recent, and cumulative life stress, and (b) the Trier Social Stress Test to measure adolescent SAM and HPA activation patterns and parent coping socialization. Parent-child parasympathetic co-regulation and reports of psychological symptoms, parenting, parent-child attachment, and coping skills will also be obtained. We will examine levels and correlates of AL biomarkers at T1 as well as predictors of the changes that occur between T1, T2, and T3 (AL accumulation). Study aims are as follows:
Aim 1: To characterize AL biomarkers in a sample of low-income preadolescents (N = 200). How many children living in low-income homes have atypical or out-of-range biomarker levels (as compared to middle class comparison group) (Aim 1a)? Do prior AL biomarker elevations predict physical and mental health problems at age 13-14 (Aim 1b)? How much and what type of change in AL biomarkers occurs between ages 11 and 14 (Aim 1c)?
Aim 2: To investigate in the same sample of preadolescents exposed to varying levels of ELS, the relative contributions made by ELS, recent (past year), and cumulative (since age 5) stress exposures to initial AL levels at T1 (Aim 2a), and to changes in AL across the two years of the study (Aim 2b).
Aim 3: To examine how coping resources, including children's coping skills, children's physiologic self-regulation, parent-child attachment, and parent coping socialization, uniquely and synergistically influence AL levels and accumulations in early adolescence.
- Conditions
- Stress
- Being tested
- exposure
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
exposureOther
exposure to chronic stress
| Study group | Role | What they receive |
|---|---|---|
| Participants | The cohort will consist of male and female children ages 11-12 accompanied by a participating parent over the age of 18 years. The family income of participants in this cohort cannot exceed 200% of the federal poverty level established in 2018. Receives: Other: exposure |
What is being measured
The primary outcome is the main question the study is designed to answer.
Allostatic load
represented as individual change across neuroendocrine, autonomic, immunologic, and metabolomic levels among youth from high-risk, rural poor environments
Measured: 2 years
Secondary outcomes (1)
Child health status
Child health status represented by behavioral, psychological, medical, and physical health outcomes affected by allostatic load.
Measured: 2 years
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted19 Feb 2018
- Study startJan 2019 (estimated)
- Primary completionDec 2024 (estimated)
- Study completionDec 2024 (estimated)
Why it stopped: This study does not qualify as a clinical trial under current NIH guidelines.
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (119)Papers the sponsor has linked to this study.
- Other trials for StressStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 0 participants (actual)
Sponsor and investigators
- Lead sponsor
- Penn State University
- Sponsor type
- University, hospital or other
- Collaborators
- University of Vermont, Milton S. Hershey Medical Center
- Responsible party
- Principal investigator, Martha E. Wadsworth, Penn State University
- Investigators
- Martha E Wadsworth, PhD, Principal investigator, Penn State
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT03436706
- Sponsor's protocol ID
- STUDY00007585
- Status last verified
- Apr 2018
- First submitted
- 10 Feb 2018
- Last updated
- 30 Apr 2018
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided
Publications
Evans GW. A multimethodological analysis of cumulative risk and allostatic load among rural children. Dev Psychol. 2003 Sep;39(5):924-33. doi: 10.1037/0012-1649.39.5.924.
PubMed 12952404Rogosch FA, Dackis MN, Cicchetti D. Child maltreatment and allostatic load: consequences for physical and mental health in children from low-income families. Dev Psychopathol. 2011 Nov;23(4):1107-24. doi: 10.1017/S0954579411000587.
PubMed 22018084Abaied JL, Rudolph KD. Mothers as a resource in times of stress: interactive contributions of socialization of coping and stress to youth psychopathology. J Abnorm Child Psychol. 2010 Feb;38(2):273-89. doi: 10.1007/s10802-009-9364-7.
PubMed 19908139Abaied JL, Rudolph KD. Maternal influences on youth responses to peer stress. Dev Psychol. 2011 Nov;47(6):1776-85. doi: 10.1037/a0025439. Epub 2011 Sep 12.
PubMed 21910532Grant KE, Compas BE, Thurm AE, McMahon SD, Gipson PY, Campbell AJ, Krochock K, Westerholm RI. Stressors and child and adolescent psychopathology: evidence of moderating and mediating effects. Clin Psychol Rev. 2006 May;26(3):257-83. doi: 10.1016/j.cpr.2005.06.011. Epub 2005 Dec 20.
PubMed 16364522Wadsworth ME, Rindlaub L, Hurwich-Reiss E, Rienks S, Bianco H, Markman HJ. A longitudinal examination of the Adaptation to Poverty-Related Stress Model: predicting child and adolescent adjustment over time. J Clin Child Adolesc Psychol. 2013;42(5):713-25. doi: 10.1080/15374416.2012.755926. Epub 2013 Jan 16.
PubMed 23323863Wadsworth ME. Development of Maladaptive Coping: A Functional Adaptation to Chronic, Uncontrollable Stress. Child Dev Perspect. 2015 Jun 1;9(2):96-100. doi: 10.1111/cdep.12112.
PubMed 26019717Wilkinson RG, Pickett KE. Income inequality and socioeconomic gradients in mortality. Am J Public Health. 2008 Apr;98(4):699-704. doi: 10.2105/AJPH.2007.109637. Epub 2007 Sep 27.
PubMed 17901426Chen E, Hanson MD, Paterson LQ, Griffin MJ, Walker HA, Miller GE. Socioeconomic status and inflammatory processes in childhood asthma: the role of psychological stress. J Allergy Clin Immunol. 2006 May;117(5):1014-20. doi: 10.1016/j.jaci.2006.01.036. Epub 2006 Mar 9.
PubMed 16675327Evans, G.W., et al., How poverty gets under the skin: A life course perspective. The Oxford Handbook of Poverty and Child Development, 2012: p. 13-36.
Grant, K.E., et al., Protective factors affecting low-income urban African American youth exposed to stress. The Journal of Early Adolescence, 2000. 20(4): p. 388-417.
Miech, R.A., et al., Low socioeconomic status and mental disorders: A longitudinal study of selection and causation during young adulthood American Journal of Sociology, 1999. 104(4): p. 1096-1131.
Wadsworth ME, Santiago CD. Risk and resiliency processes in ethnically diverse families in poverty. J Fam Psychol. 2008 Jun;22(3):399-410. doi: 10.1037/0893-3200.22.3.399.
PubMed 18540768McBride Murry, V., et al., Neighborhood poverty and adolescent development. Journal of Research on Adolescence, 2011. 21(1): p. 114-128
Wadsworth, M.E., Evans, G.W., Grant, K., Carter, J.S., Duffy, J.S., Poverty and the Development of Psychopathology, in Developmental Psychopathology, D. Cicchetti, Editor 2014.
Study at a glance
From the registry record, last updated by the sponsor on 30 Apr 2018. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Pre-adolescent Stress and Health Study
- ClinicalTrials.gov ID
- NCT03436706
- Acronym / sponsor ID
- STUDY00007585
- Conditions
- Stress
- Study type
- Observational
- Recruitment status
- WithdrawnReason stopped: This study does not qualify as a clinical trial under current NIH guidelines.
- Enrolment
- 0 participants (actual)
- Lead sponsor
- Penn State UniversityUniversity, hospital or other
- Collaborators
- University of Vermont, Milton S. Hershey Medical Center
- Study start
- Jan 2019 (estimated)
- Primary completion
- Dec 2024 (estimated)
- Study completion
- Dec 2024 (estimated)
- First posted
- 19 Feb 2018 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Aim 1: To characterize allostatic load (AL) biomarkers in a sample of low-income early adolescents (N = 225). How many children living in low-income homes have atypical or out-of-range biomarker levels, on which biomarkers, and in what combinations (Aim 1a)? Do AL biomarker elevations predict physical and mental health problems in early adolescence (Aim 1b)? How much and what type of change in AL biomarkers occurs between ages 11 and 14 (Aim 1c)?
Aim 2: To investigate in the same sample of early adolescents exposed to varying levels of early life stress (ELS), the relative contributions made by ELS, recent (past year), and cumulative (since age 5) stress exposures to initial AL levels at T1 (Aim 2a), and to changes in AL across the two years of the study (Aim 2b).
Aim 3: To explore the extent to which coping resources, including children's coping skills, children's physiologic self-regulation, and parental coping socialization, uniquely and synergistically influence AL levels and accumulations in these early adolescents.
Detailed description
Childhood adversity is associated with premature diseases of aging, most forms of psychopathology, and early mortality, and chronic stress is a critical mechanism of this phenomenon. Biologically informed interventions are sorely needed to break this pernicious cycle, but very little research has examined potentially malleable psychobiological risk and protective processes during childhood that could be leveraged in interventions. Allostatic Load (AL)-the accumulation of biological insults sustained by the body's attempts to maintain homeostasis in the face of chronic stress-is recognized as one such risk process. Most AL research has thus far been conducted with adults, but the emerging research with adolescents suggests that in-depth examination of AL accumulation processes during early adolescence may yield critical insights needed to develop psychobiologically potent interventions. Coping and self-regulation are potential malleable protective processes, but they have not received much attention in AL research to date. This R01 project will therefore examine the accumulation of AL biomarkers in early adolescence, and will test the contributions of stress (early life, cumulative, recent) and of coping resources (coping skills, parent coping socialization, physiologic regulation) to AL accumulation. In addition, we will examine associations between AL and the emergence of premature diseases of aging (e.g., type II diabetes, metabolic syndrome) by mid-adolescence.
Elevated AL biomarkers have been detected in samples of disadvantaged preadolescents (e.g., Evans, 2003; Keller et al., 2012; Rogosch et al. 2011), and are correlated with health problems in this population. Nevertheless, numerous important gaps in our understanding of youth AL processes remain. First, AL is not well characterized in child or adolescent samples. Most existing research involving children focuses only on select aspects of the AL index (such as cortisol), and a comprehensive assessment of the major classes of biomarkers indicated in AL (metabolic, cardiovascular, immunologic, neuroendocrine) in at-risk children is lacking. Second, the absence of clinical benchmarks linking AL to disease in children is a major limiting factor, which coupled with lower base rates of AL-linked diseases in children, calls into question the typical practice of calculating an AL index using adult thresholds (i.e., upper quartile of range). Third, it is unclear to what extent recent and cumulative stressors experienced after the early life period (birth to age 5) contribute to the development of AL over and above early life stress (ELS) in any age group, and many AL studies do not include in-depth assessments of life stress. Fourth, little is known about the extent to which coping resources (youth coping skills, coping socialization) can buffer children from the development and/or worsening of AL over time. This is a critical question as the lead PI's research has shown that coping skills and resources can buffer at-risk children (e.g., in poverty) from common stressors and that coping has effects on primary neuroendocrine mediators of AL such as the HPA (Wadsworth et al., 2016; Bendezu \& Wadsworth, 2017).
The present project will build on the unique strengths and capacities of the two PIs and their co-investigator and will include state-of-the-art assessments of stress, coping resources, and AL to fully capture these processes at multiple levels of analysis. Two-hundred 11-12 year old Medicaid-enrolled patients will be recruited by experienced pediatric research nurses at Penn State Hershey Hope Drive Pediatrics. Twenty-five additional 11-12 year old patients whose families are not Medicaid eligible will serve as a middle class comparison group for biomarker benchmarking. This research affiliated pediatrics practice conducts 40,000 patient visits per year and enrolls patients from both rural and urban communities across central PA. Youth will be followed across two years and participate in three annual assessments. Biological samples will include blood draws, overnight urine, and saliva samples taken at each time point. Assessments will further include (a) parent and child Youth Life Stress Interviews to obtain indices of early, recent, and cumulative life stress, and (b) the Trier Social Stress Test to measure adolescent SAM and HPA activation patterns and parent coping socialization. Parent-child parasympathetic co-regulation and reports of psychological symptoms, parenting, parent-child attachment, and coping skills will also be obtained. We will examine levels and correlates of AL biomarkers at T1 as well as predictors of the changes that occur between T1, T2, and T3 (AL accumulation). Study aims are as follows:
Aim 1: To characterize AL biomarkers in a sample of low-income preadolescents (N = 200). How many children living in low-income homes have atypical or out-of-range biomarker levels (as compared to middle class comparison group) (Aim 1a)? Do prior AL biomarker elevations predict physical and mental health problems at age 13-14 (Aim 1b)? How much and what type of change in AL biomarkers occurs between ages 11 and 14 (Aim 1c)?
Aim 2: To investigate in the same sample of preadolescents exposed to varying levels of ELS, the relative contributions made by ELS, recent (past year), and cumulative (since age 5) stress exposures to initial AL levels at T1 (Aim 2a), and to changes in AL across the two years of the study (Aim 2b).
Aim 3: To examine how coping resources, including children's coping skills, children's physiologic self-regulation, parent-child attachment, and parent coping socialization, uniquely and synergistically influence AL levels and accumulations in early adolescence.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| Participants | – | Other: exposureThe cohort will consist of male and female children ages 11-12 accompanied by a participating parent over the age of 18 years. The family income of participants in this cohort cannot exceed 200% of the federal poverty level established in 2018. |
Who may qualify
- Ages
- 132 to 156 months
- Sex
- All
- Age groups
- Child
- Study population
- Children living in or near Hershey, Pennsylvania who are living below the federal poverty line. These children and their families are known to experience higher levels of stress the health disparities as a result of living with poverty-related stress.
Key inclusion criteria (9 listed)
- Child
- Parent/Guardian
- Age: ≥18 years
- Sex: male or female
- Fluent in written and spoken English
Key exclusion criteria (9 listed)
- Child
- Age: <11 or ≥13 years at the time of enrollment
- Cognitive impairment
- Pregnant (if female)
- Chronic illness (e.g. psychiatric disorder, cancer or heart disease) or any other medical condition that in the opinion of the investigator disqualifies the subject from participation in the research.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| exposureexposure to chronic stress | Other | Participants |
Primary outcome
Allostatic load
Time frame: 2 years
represented as individual change across neuroendocrine, autonomic, immunologic, and metabolomic levels among youth from high-risk, rural poor environments
1 secondary outcome
Child health status
Time frame: 2 years
Results and safety
The study was withdrawn before enrolling participants, so there are no results.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 30 Apr 2018.
- Background: PubMed 12952404Evans GW. A multimethodological analysis of cumulative risk and allostatic load among rural children. Dev Psychol. 2003 Sep;39(5):924-33. doi: 10.1037/0012-1649.39.5.924.
- Background: PubMed 22018084Rogosch FA, Dackis MN, Cicchetti D. Child maltreatment and allostatic load: consequences for physical and mental health in children from low-income families. Dev Psychopathol. 2011 Nov;23(4):1107-24. doi: 10.1017/S0954579411000587.
- Background: PubMed 19908139Abaied JL, Rudolph KD. Mothers as a resource in times of stress: interactive contributions of socialization of coping and stress to youth psychopathology. J Abnorm Child Psychol. 2010 Feb;38(2):273-89. doi: 10.1007/s10802-009-9364-7.
- Background: PubMed 21910532Abaied JL, Rudolph KD. Maternal influences on youth responses to peer stress. Dev Psychol. 2011 Nov;47(6):1776-85. doi: 10.1037/a0025439. Epub 2011 Sep 12.
- Background: PubMed 16364522Grant KE, Compas BE, Thurm AE, McMahon SD, Gipson PY, Campbell AJ, Krochock K, Westerholm RI. Stressors and child and adolescent psychopathology: evidence of moderating and mediating effects. Clin Psychol Rev. 2006 May;26(3):257-83. doi: 10.1016/j.cpr.2005.06.011. Epub 2005 Dec 20.
- Background: PubMed 23323863Wadsworth ME, Rindlaub L, Hurwich-Reiss E, Rienks S, Bianco H, Markman HJ. A longitudinal examination of the Adaptation to Poverty-Related Stress Model: predicting child and adolescent adjustment over time. J Clin Child Adolesc Psychol. 2013;42(5):713-25. doi: 10.1080/15374416.2012.755926. Epub 2013 Jan 16.
- Background: PubMed 26019717Wadsworth ME. Development of Maladaptive Coping: A Functional Adaptation to Chronic, Uncontrollable Stress. Child Dev Perspect. 2015 Jun 1;9(2):96-100. doi: 10.1111/cdep.12112.
- Background: PubMed 17901426Wilkinson RG, Pickett KE. Income inequality and socioeconomic gradients in mortality. Am J Public Health. 2008 Apr;98(4):699-704. doi: 10.2105/AJPH.2007.109637. Epub 2007 Sep 27.
- Background: PubMed 16675327Chen E, Hanson MD, Paterson LQ, Griffin MJ, Walker HA, Miller GE. Socioeconomic status and inflammatory processes in childhood asthma: the role of psychological stress. J Allergy Clin Immunol. 2006 May;117(5):1014-20. doi: 10.1016/j.jaci.2006.01.036. Epub 2006 Mar 9.
- BackgroundEvans, G.W., et al., How poverty gets under the skin: A life course perspective. The Oxford Handbook of Poverty and Child Development, 2012: p. 13-36.
- BackgroundGrant, K.E., et al., Protective factors affecting low-income urban African American youth exposed to stress. The Journal of Early Adolescence, 2000. 20(4): p. 388-417.
- BackgroundMiech, R.A., et al., Low socioeconomic status and mental disorders: A longitudinal study of selection and causation during young adulthood American Journal of Sociology, 1999. 104(4): p. 1096-1131.
- Individual participant dataSharing planned: Undecided
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Martha E Wadsworth, PhD principal investigator
Penn State
Questions about this trial
What is this clinical trial studying?
An observational study of Stress, run by Penn State University.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 9 inclusion and 9 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: withdrawn, as of the sponsor's last update on 30 Apr 2018. Status can change between updates, so confirm with the study contact before making plans.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study was withdrawn before enrolling participants, so there are no results.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Allostatic load (time frame: 2 years). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT03436706, which also lists 119 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 30 Apr 2018; AzTrials last refreshed its copy on 30 Oct 2026.