Investigating the Relationships Between Body Composition, Peripheral Muscle Strength, and Cough Force in Healthy Young Adults

NCT07311837 | Not Yet Recruiting

• 1 other identifier: 2025/09-10-TUBITAK 2209-A
• Study Type: observational
• Target: 46
• Locations: 1 country
• Sites: 1

Brief Summary

Introduction: Body mass index (BMI) is a key parameter used for obesity classification and the evaluation and monitoring of individuals' health status. Obesity, described by the World Health Organization as a major global epidemic, remains one of the most significant preventable and manageable conditions contributing to increased risks of cardiovascular and metabolic diseases. In addition to BMI, anthropometric measurements such as the waist-to-hip ratio are crucial indicators for risk assessment. While numerous studies in the literature have addressed the detrimental effects of obesity on respiratory functions, no study has specifically examined the relationship between cough strength-a vital respiratory parameter that reflects expiratory muscle strength- and body composition, waist-to-hip ratio, and peripheral muscle strength. Furthermore, although several studies have investigated the association between grip strength-a recognized indicator of peripheral muscle function in healthy individuals-and cough strength, no research to date has explored the relationship between pinch grip strength and cough strength. Objective: This study aims to investigate the relationships among body composition, waist-to-hip ratio, peripheral muscle strength, and cough strength in healthy young adults. Methods: This study was designed as a cross-sectional analysis. After providing detailed information about the study to potential participants, written informed consent will be obtained in duplicate from those who agree to participate. Following the completion of a general assessment form that captures demographic characteristics, each participant's height will be measured using a measuring tape. Body composition parameters-including body weight, BMI, body fat percentage, total body water percentage, muscle mass, basal metabolic rate, and metabolic age-will be assessed using a bioelectrical impedance analysis device (Tanita) available at our faculty. Waist and hip circumferences will be measured and used to calculate the waist-to-hip ratio for each participant. Peripheral muscle strength will be assessed using a hydraulic hand dynamometer and a pinch meter, while cough strength will be evaluated using a peak cough expiratory flow meter (PEF meter). All measurements will be repeated three times, with the best result recorded for analysis. Results: Statistical analysis will be performed using IBM SPSS Statistics version 30 (SPSS Inc., Chicago, IL, USA). Normality of continuous variables will be assessed through normality tests, coefficient of variation, and graphical representations (e.g., histograms, detrended plots). Descriptive statistics will be presented as mean ± standard deviation for normally distributed variables, and as median and interquartile range for non-normally distributed variables. Categorical variables will be expressed as percentages (%). Pearson correlation analysis will be used for normally distributed variables, and Spearman correlation analysis for non-normally distributed ones. The appropriate correlation coefficients and p-values will be reported. A p-value of \<0.05 will be considered statistically significant. Discussion: Interpretation will be based on the results of the statistical analyses.

Conditions

Healthy Young Adults

Keywords

Body composition; Waist-to-hip ratio; Peripheral muscle strength; Peak expiratory flow; Cough strength

Outcome Measures

Primary Outcomes (8)

• Body weight

  It expresses body weight in kilograms.

  Baseline

• Body mass index

  Body weight (kg) divided by the square of height (m2)

  Baseline

• Body fat ratio

  A measure of body fat in percent (%).

  Baseline

• Body fluid ratio

  A measure of the amount of fluid in the body expressed as a percentage (%).

  Baseline

• Muscle ratio

  The measure that expresses the lean body weight, that is, the muscle ratio in the body.

  Baseline

• Basal metabolic rate

  It is defined as the amount of calories the body burns while performing its basic, basal life-sustaining function (kcal and kj)

  Baseline

• Metabolic age

  Metabolic age is a measure of how efficiently your body's metabolism works compared to other individuals in your age group (years).

  Baseline

• Cough strength

  Cough strength is the measure that expresses peak-expiratory flow (PEF) during cough. It is measured with a PEF-meter.

  Baseline

Secondary Outcomes (3)

• Waist-hip ratio

  Baseline

• Handgrip strength

  Baseline

• Pinch strength

  Baseline

Study Arms (1)

Healthy Young Adults

Healthy individuals between the ages of 18 and 30 who volunteer to participate in the study will be included in the study.

Eligibility Criteria

• Age: 18 Years - 30 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64)
• Sampling Method: Probability Sample

Study Population

Healthy young individuals

You may qualify if:

• Individuals between the ages of 18-30 who volunteered to participate in the study

You may not qualify if:

• Individuals who have a serious orthopedic, neurological or systemic disease that would prevent participation in the study and who do not volunteer to participate in the study

Sponsors & Collaborators

• Nigde Omer Halisdemir University: lead
• The Scientific and Technological Research Council of Turkey: collaborator

Study Sites (1)

Nigde Omer Halisdemir University, Faculty of Bor Health Sciences

Niğde, 51200, Turkey (Türkiye)

Location

Related Publications (1)

• Mafort TT, Rufino R, Costa CH, Lopes AJ. Obesity: systemic and pulmonary complications, biochemical abnormalities, and impairment of lung function. Multidiscip Respir Med. 2016 Jul 12;11:28. doi: 10.1186/s40248-016-0066-z. eCollection 2016.

  PMID: 27408717 BACKGROUND

Study Officials

• Nazire Nur YILDIZ, Ph.D.

  Nigde Omer Halisdemir University

  STUDY CHAIR

Central Study Contacts

Nazire Nur YILDIZ, Ph.D.

CONTACT

+905444184376; nazirenuryildiz@ohu.edu.tr

Nurcan AYTEKİN, Student

CONTACT

+905386941695; nnur_yildiz_58@hotmail.com

Study Design

• Study Type: observational
• Observational Model: CASE ONLY
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: P.T., Ph.D.

Study Record Dates

• First Submitted: November 18, 2025
• First Posted: December 31, 2025
• Study Start: February 15, 2026
• Primary Completion: March 1, 2026
• Study Completion: March 15, 2026
• Last Updated: December 31, 2025

Record last verified: 2025-12

Data Sharing

• IPD Sharing: Will not share

Locations

TU (1)