Clinical Trials Logo

Clinical Trial Details — Status: Not yet recruiting

Administrative data

NCT number NCT06380322
Other study ID # PBRC 2023-034
Secondary ID
Status Not yet recruiting
Phase
First received
Last updated
Start date June 1, 2024
Est. completion date December 1, 2026

Study information

Verified date April 2024
Source Pennington Biomedical Research Center
Contact Claire E Berryman, PhD, RD
Phone (225) 763-3010
Email Claire.Berryman@pbrc.edu
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

The Military Health and Nutrition Examination Study (MHANES) is a Department of Defense funded study conducted by Pennington Biomedical Research Center and the US Army Research Institute of Environmental Medicine. This cross-sectional study will assess, in a large, diverse sample of Army Service Members (n=600), food and supplement intake, cardiovascular health, body composition, biomarkers of nutritional status, measures of health status, injury prevalence, mental wellbeing, gut microbiome composition, and physical performance outcomes. The proposed study is modeled after the National Health and Nutrition Examination Survey (NHANES) and customized for the Army population.


Description:

Background: Comprehensive scientific data on dietary intake, nutritional status, cardiometabolic health, and performance of a representative sample of active-duty Soldiers are not available. Collecting such data will allow for assessment of disease prevalence and health status, provide novel descriptive information, and examine relationships between health and nutrition variables that are currently unavailable on the Army active-duty population. Study Aim: To assess, in a large, diverse sample of Army Service Members, dietary intake, nutritional status, cardiovascular health, body composition, metabolic biomarkers of nutritional state, and other measures of health status.


Recruitment information / eligibility

Status Not yet recruiting
Enrollment 600
Est. completion date December 1, 2026
Est. primary completion date December 1, 2026
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 18 Years and older
Eligibility Inclusion Criteria: - U.S. Army Soldiers = 18 years old - Willing to have biological samples stored for future use - Willing to have data linked to the Soldier Performance, Health, and Readiness (SPHERE) database Exclusion Criteria: - Soldiers under the age of 18 years - Soldiers with an inability to understand verbal or written instructions or testing materials in English - Soldiers relocating or getting out of the Army in the next 30 days - Pregnant females - Soldiers currently in Basic Training (BCT) and/or One-Station Unit Training (OSUT)

Study Design


Locations

Country Name City State
United States Pennington Biomedical Research Center Baton Rouge Louisiana

Sponsors (2)

Lead Sponsor Collaborator
Pennington Biomedical Research Center U.S. Army Medical Research and Development Command

Country where clinical trial is conducted

United States, 

References & Publications (29)

Beal SL. Sample size determination for confidence intervals on the population mean and on the difference between two population means. Biometrics. 1989 Sep;45(3):969-77. — View Citation

Buysse DJ, Reynolds CF 3rd, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989 May;28(2):193-213. doi: 10.1016/0165-1781(89)90047-4. — View Citation

Chao SY, Zarzabal LA, Walker SM, Herzog CM, Eilerman PA, Luce BK, Carnahan DH. Estimating diabetes prevalence in the Military Health System population from 2006 to 2010. Mil Med. 2013 Sep;178(9):986-93. doi: 10.7205/MILMED-D-13-00147. — View Citation

Clutter CA, Beckman DJ, Wardian JL, Rittel AG, True MW. Are We Missing an Opportunity? Prediabetes in the U.S. Military. Mil Med. 2024 Jan 23;189(1-2):326-331. doi: 10.1093/milmed/usac197. — View Citation

Cole RE, Jayne JM, O'Connor K, McGraw SM, Beyl R, DiChiara AJ, Karl JP. Development and Validation of the Military Eating Behavior Survey. J Nutr Educ Behav. 2021 Sep;53(9):798-810. doi: 10.1016/j.jneb.2021.04.467. Epub 2021 Jun 30. — View Citation

Connor KM, Davidson JR. Development of a new resilience scale: the Connor-Davidson Resilience Scale (CD-RISC). Depress Anxiety. 2003;18(2):76-82. doi: 10.1002/da.10113. — View Citation

Eilerman PA, Herzog CM, Luce BK, Chao SY, Walker SM, Zarzabal LA, Carnahan DH. A comparison of obesity prevalence: military health system and United States populations, 2009-2012. Mil Med. 2014 May;179(5):462-70. doi: 10.7205/MILMED-D-13-00430. — View Citation

Farina EK, Thompson LA, Knapik JJ, Pasiakos SM, McClung JP, Lieberman HR. Physical performance, demographic, psychological, and physiological predictors of success in the U.S. Army Special Forces Assessment and Selection course. Physiol Behav. 2019 Oct 15;210:112647. doi: 10.1016/j.physbeh.2019.112647. Epub 2019 Aug 8. — View Citation

Gibson AL, Holmes JC, Desautels RL, Edmonds LB, Nuudi L. Ability of new octapolar bioimpedance spectroscopy analyzers to predict 4-component-model percentage body fat in Hispanic, black, and white adults. Am J Clin Nutr. 2008 Feb;87(2):332-8. doi: 10.1093/ajcn/87.2.332. — View Citation

Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009 Apr;42(2):377-81. doi: 10.1016/j.jbi.2008.08.010. Epub 2008 Sep 30. — View Citation

Heart rate variability: standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Circulation. 1996 Mar 1;93(5):1043-65. No abstract available. — View Citation

Herzog CM, Chao SY, Eilerman PA, Luce BK, Carnahan DH. Metabolic syndrome in the Military Health System based on electronic health data, 2009-2012. Mil Med. 2015 Jan;180(1):83-90. doi: 10.7205/MILMED-D-14-00039. — View Citation

Karl JP, Margolis LM, Fallowfield JL, Child RB, Martin NM, McClung JP. Military nutrition research: Contemporary issues, state of the science and future directions. Eur J Sport Sci. 2022 Jan;22(1):87-98. doi: 10.1080/17461391.2021.1930192. Epub 2021 Jun 3. — View Citation

Knapik JJ, Farina EK, Fulgoni VL 3rd, Lieberman HR. Clinically-diagnosed vitamin deficiencies and disorders in the entire United States military population, 1997-2015. Nutr J. 2021 Jun 15;20(1):55. doi: 10.1186/s12937-021-00708-2. — View Citation

Knapik JJ, Farina EK, Fulgoni VL, Lieberman HR. Clinically diagnosed iron and iodine deficiencies and disorders in the entire population of US military service members from 1997 to 2015. Public Health Nutr. 2021 Aug;24(11):3187-3195. doi: 10.1017/S1368980021000495. Epub 2021 Feb 5. — View Citation

Knapik JJ, Reynolds KL, Hoedebecke KL. Stress Fractures: Etiology, Epidemiology, Diagnosis, Treatment, and Prevention. J Spec Oper Med. 2017 Summer;17(2):120-130. doi: 10.55460/SPMB-1E6L. — View Citation

Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001 Sep;16(9):606-13. doi: 10.1046/j.1525-1497.2001.016009606.x. — View Citation

Lenth RV. Some Practical Guidelines for Effective Sample Size Determination. American Statistician. 2001;55:187-93.

Ling CH, de Craen AJ, Slagboom PE, Gunn DA, Stokkel MP, Westendorp RG, Maier AB. Accuracy of direct segmental multi-frequency bioimpedance analysis in the assessment of total body and segmental body composition in middle-aged adult population. Clin Nutr. 2011 Oct;30(5):610-5. doi: 10.1016/j.clnu.2011.04.001. Epub 2011 May 8. — View Citation

McNair DM, Lorr M, Droppleman LF. Profile of Mood States Manual. San Diego, CA: Educational and Industrial Testing Service. 1971.

Nindl BC, Jaffin DP, Dretsch MN, Cheuvront SN, Wesensten NJ, Kent ML, Grunberg NE, Pierce JR, Barry ES, Scott JM, Young AJ, O'Connor FG, Deuster PA. Human Performance Optimization Metrics: Consensus Findings, Gaps, and Recommendations for Future Research. J Strength Cond Res. 2015 Nov;29 Suppl 11:S221-45. doi: 10.1519/JSC.0000000000001114. — View Citation

Prins A, Bovin MJ, Smolenski DJ, Marx BP, Kimerling R, Jenkins-Guarnieri MA, Kaloupek DG, Schnurr PP, Kaiser AP, Leyva YE, Tiet QQ. The Primary Care PTSD Screen for DSM-5 (PC-PTSD-5): Development and Evaluation Within a Veteran Primary Care Sample. J Gen Intern Med. 2016 Oct;31(10):1206-11. doi: 10.1007/s11606-016-3703-5. Epub 2016 May 11. — View Citation

Rittenhouse M, Scott J, Deuster P. Healthy Eating Index and Nutrition Biomarkers among Army Soldiers and Civilian Control Group Indicate an Intervention Is Necessary to Raise Omega-3 Index and Vitamin D and Improve Diet Quality. Nutrients. 2020 Dec 31;13(1):122. doi: 10.3390/nu13010122. — View Citation

Schwarzer, R. and Jerusalem, M. (1995). Generalized Self-Efficacy scale. In J. Weinman, S. Wright, & M. Johnston, Measures in health psychology: A user's portfolio. Causal and control beliefs (pp. 35-37). Windsor, UK: NFER-NELSON.

Shrestha A, Ho TE, Vie LL, Labarthe DR, Scheier LM, Lester PB, Seligman MEP. Comparison of Cardiovascular Health Between US Army and Civilians. J Am Heart Assoc. 2019 Jun 18;8(12):e009056. doi: 10.1161/JAHA.118.009056. Epub 2019 Jun 5. — View Citation

Spitzer RL, Kroenke K, Williams JB, Lowe B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med. 2006 May 22;166(10):1092-7. doi: 10.1001/archinte.166.10.1092. — View Citation

Tarvainen MP, Niskanen JP, Lipponen JA, Ranta-Aho PO, Karjalainen PA. Kubios HRV--heart rate variability analysis software. Comput Methods Programs Biomed. 2014;113(1):210-20. doi: 10.1016/j.cmpb.2013.07.024. Epub 2013 Aug 6. — View Citation

US Department of the Army. (2017) Nutrition and Menu Standards for Human Performance Optimization. Army Regulation 40-25.

WEIR JB. New methods for calculating metabolic rate with special reference to protein metabolism. J Physiol. 1949 Aug;109(1-2):1-9. doi: 10.1113/jphysiol.1949.sp004363. No abstract available. — View Citation

* Note: There are 29 references in allClick here to view all references

Outcome

Type Measure Description Time frame Safety issue
Primary Dietary intake 24-hour dietary recalls will be collected using ASA24® to measure intake of macronutrients (protein, carbohydrate, and fat) and micronutrients (vitamins and minerals). This study will collect one ASA24® recall at visit 1 and a second follow-up 24-hour recall 3-10 days later
Primary Dietary quality 24-hour dietary recalls will be collected using ASA24®. Diet quality will be assessed by the healthy eating index (HEI). This study will collect one ASA24® recall at visit 1 and a second follow-up 24-hour recall 3-10 days later
Secondary Depression Depression will be assessed by the Patient Health Questionnaire-9 (PHQ-9). Questionnaires will be administered one time at visit 1 (within 1-2 weeks of study enrollment).
Secondary Anxiety Anxiety will be assessed by the General Anxiety Disorder-7 (GAD-7) questionnaire. Questionnaires will be administered one time at visit 1 (within 1-2 weeks of study enrollment).
Secondary Resilience Resilience will be assessed by the Connor-Davidson Resilience Scale (CD-RISC). Questionnaires will be administered one time at visit 1 (within 1-2 weeks of study enrollment).
Secondary Posttraumatic stress disorder Posttraumatic stress disorder (PTSD) will be assessed by the the Primary Care PTSD Screen for DSM-5 (PC-PTSD-5). Questionnaires will be administered one time at visit 1 (within 1-2 weeks of study enrollment).
Secondary Self-efficacy Self-efficacy will be assessed by the Generalized Self-Efficacy Scale (GSE). Questionnaires will be administered one time at visit 1 (within 1-2 weeks of study enrollment).
Secondary Mood Mood state will be assessed by the Profile of Mood States 2 (POMS2) questionnaire. Questionnaires will be administered one time at visit 1 (within 1-2 weeks of study enrollment).
Secondary Physical activity Physical activity will be measured using the ActiGraph wGT3X-BT wearable device. ActiGraphs will be administered 0-7 days after study enrollment and worn continuously for 5-7 days.
Secondary Physical activity Physical activity will be assessed by the Physical Activity and Physical Fitness Questionnaire from NHANES. Questionnaires will be administered one time at visit 1 (within 1-2 weeks of study enrollment).
Secondary Physical performance Participants will self-report their most recent Army Combat Fitness Test (ACFT) results. Data will be collected one time at visit 1 (within 1-2 weeks of study enrollment).
Secondary Physical injuries A questionnaire on orthopedic injuries will be administered. Questionnaires will be administered one time at visit 1 (within 1-2 weeks of study enrollment).
Secondary Sleep duration and quality Sleep duration and quality will be measured using the ActiGraph wGT3X-BT wearable device. ActiGraphs will be administered 0-7 days after study enrollment and worn continuously for 5-7 days.
Secondary Sleep duration and quality Sleep duration and quality will be assessed by using the Pittsburgh Sleep Quality Index (PSQI). Questionnaires will be administered one time at visit 1 (within 1-2 weeks of study enrollment).
Secondary Eating behavior (Satiety) Assessed using the Satiety scale derived from the validated Military Eating Behavior Survey (MEBS) Questionnaires will be administered one time at visit 1 (within 1-2 weeks of study enrollment).
Secondary Eating behavior (Fast Eating Rate) Assessed using the Fast Eating Rate scale derived from the validated Military Eating Behavior Survey (MEBS) Questionnaires will be administered one time at visit 1 (within 1-2 weeks of study enrollment).
Secondary Eating behavior (Slow Eating Rate) Assessed using the Slow Eating Rate scale derived from the validated Military Eating Behavior Survey (MEBS) Questionnaires will be administered one time at visit 1 (within 1-2 weeks of study enrollment).
Secondary Blood pressure Measured after an overnight (at least 10 hour) fast, blood pressure will be measured with an automated cuff. Measured one time at visit 1 (within 1-2 weeks of study enrollment).
Secondary Anthropometric and body composition measures Height measured using a stadiometer. Body mass and composition (fat mass, percent fat, fat-free mass, skeletal muscle mass, and body water) using bioelectrical impedance analysis, body image scanning, and neck, waist, and hip circumference measurements. If available, at 1-2 Army bases, dual x-ray absorptiometry (DXA) will be used. Measured one time at visit 1 (within 1-2 weeks of study enrollment).
Secondary Measures of anemia and iron status, nutrient status, hormone status, stress, cardiometabolic health, and inflammation Measured in blood Measured one time at visit 1 (within 1-2 weeks of study enrollment).
Secondary Albumin, iodine, and other biomarkers of health Measured in urine Measured one time at visit 1 (within 1-2 weeks of study enrollment).
Secondary Gut microbiome composition Measured in stool Measured one time at visit 1 (within 1-2 weeks of study enrollment).
Secondary Prescription and over-the-counter medication and supplement use Volunteers will be asked the name of each supplement and medication used in the past 30 days and the dose, unit, frequency, route, indication, and start/stop date. An opaque bag will be provided to volunteers to transport supplements to the in-person visit. Dietary supplement use will also be assessed by ASA24® in conjunction with the 24-hour dietary recall. The information on current use of medications and dietary supplements will be obtained one time at visit 1 (within 1-2 weeks of study enrollment). ASA24® data will be collected at visit 1 and again 3-10 days later
Secondary Resting metabolic rate (RMR) Measured by indirect calorimetry (MedGem or BodyGem indirect calorimeter). Measured one time at visit 1 (within 1-2 weeks of study enrollment).
Secondary Heart rate variability (HRV) Heart rate variations will be continuously recorded for 10 minutes with the Zephyr Bioharness™ (Zephyr Technology Corporation, Annapolis, MD, US). Measured one time at visit 1 (within 1-2 weeks of study enrollment).
Secondary Genomics Array-based genotyping using blood samples Measured one time at visit 1 (within 1-2 weeks of study enrollment).
See also
  Status Clinical Trial Phase
Terminated NCT04591808 - Efficacy and Safety of Atorvastatin + Perindopril Fixed-Dose Combination S05167 in Adult Patients With Arterial Hypertension and Dyslipidemia Phase 3
Recruiting NCT04515303 - Digital Intervention Participation in DASH
Completed NCT05433233 - Effects of Lifestyle Walking on Blood Pressure in Older Adults With Hypertension N/A
Completed NCT05491642 - A Study in Male and Female Participants (After Menopause) With Mild to Moderate High Blood Pressure to Learn How Safe the Study Treatment BAY3283142 is, How it Affects the Body and How it Moves Into, Through and Out of the Body After Taking Single and Multiple Doses Phase 1
Completed NCT03093532 - A Hypertension Emergency Department Intervention Aimed at Decreasing Disparities N/A
Completed NCT04507867 - Effect of a NSS to Reduce Complications in Patients With Covid-19 and Comorbidities in Stage III N/A
Completed NCT05529147 - The Effects of Medication Induced Blood Pressure Reduction on Cerebral Hemodynamics in Hypertensive Frail Elderly
Recruiting NCT06363097 - Urinary Uromodulin, Dietary Sodium Intake and Ambulatory Blood Pressure in Patients With Chronic Kidney Disease
Recruiting NCT05976230 - Special Drug Use Surveillance of Entresto Tablets (Hypertension)
Completed NCT06008015 - A Study to Evaluate the Pharmacokinetics and the Safety After Administration of "BR1015" and Co-administration of "BR1015-1" and "BR1015-2" Under Fed Conditions in Healthy Volunteers Phase 1
Completed NCT05387174 - Nursing Intervention in Two Risk Factors of the Metabolic Syndrome and Quality of Life in the Climacteric Period N/A
Completed NCT04082585 - Total Health Improvement Program Research Project
Recruiting NCT05121337 - Groceries for Black Residents of Boston to Stop Hypertension Among Adults Without Treated Hypertension N/A
Withdrawn NCT04922424 - Mechanisms and Interventions to Address Cardiovascular Risk of Gender-affirming Hormone Therapy in Trans Men Phase 1
Active, not recruiting NCT05062161 - Sleep Duration and Blood Pressure During Sleep N/A
Not yet recruiting NCT05038774 - Educational Intervention for Hypertension Management N/A
Completed NCT05087290 - LOnger-term Effects of COVID-19 INfection on Blood Vessels And Blood pRessure (LOCHINVAR)
Completed NCT05621694 - Exploring Oxytocin Response to Meditative Movement N/A
Completed NCT05688917 - Green Coffee Effect on Metabolic Syndrome N/A
Recruiting NCT05575453 - OPTIMA-BP: Empowering PaTients in MAnaging Blood Pressure N/A