Dataset Information

The impact of smoking on estimated biological age and body fat composition: A cross-sectional study.

ABSTRACT:

Introduction

Smoking tobacco results in the death of more than 8 million people every year. Our study aims to explore a new approach for smoking cessation by analyzing body composition differences between smokers and non-smokers, focusing on potential variations in biological and chronological ages.

Methods

A cross-sectional study was conducted in 2019 at the Special Hospital for Medical Rehabilitation in Croatia. It included 164 subjects, 81 smokers and 83 non-smokers, aged 40-65 years. This study was part of a two-year investigation on locomotor parameter changes as early COPD predictors. Measurements encompassed body parameters, spirometry tests, and body composition. Spirometry was done using the Flowscreen Pro device, and the FEV1/FVC ratio determined lung function. The GAIA 359 PLUS device assessed body composition and estimated biological age. Exclusion criteria applied to specific medical conditions and recent surgeries.

Results

Smokers had a slightly higher percentage of fat tissue than non-smokers (median=27%, IQR: 24-31) compared to non-smokers (median=25%, IQR: 22-28, p<0.001). The difference in the Gaia estimated age and the actual age of the subjects was significantly higher in the group of smokers (median=2, IQR: 0-3) compared to non-smokers (median=0 IQR: -2-2, p=0.003), but they did not differ in muscle tissue, weight or the proportion of trunk adipose tissue.

Conclusions

Our study revealed that smokers exhibit higher fat tissue percentages and a higher estimated biological age relative to non-smokers. These findings underscore the established health hazards of smoking and the imperative for smoking cessation in mitigating these adverse effects.

SUBMITTER: Radmilovic G

PROVIDER: S-EPMC10699123 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

The impact of smoking on estimated biological age and body fat composition: A cross-sectional study.

Radmilović Goranka G Matijević Valentina V Mikulić Danijel D Rašić Markota Danijela D Čeprnja Asija Rota AR

Tobacco induced diseases 20231206

<h4>Introduction</h4>Smoking tobacco results in the death of more than 8 million people every year. Our study aims to explore a new approach for smoking cessation by analyzing body composition differences between smokers and non-smokers, focusing on potential variations in biological and chronological ages.<h4>Methods</h4>A cross-sectional study was conducted in 2019 at the Special Hospital for Medical Rehabilitation in Croatia. It included 164 subjects, 81 smokers and 83 non-smokers, aged 40-65 ...[more]

PMID: 38075019

Similar Datasets

Project description:BackgroundObesity is the most serious global epidemic and body composition is the main indicator to evaluate obesity. This study aimed to investigate the changing trends of body composition by age and gender in Beijing adults aged 20-60 years and explore the distribution of obesity rates in different age groups of both sexes under different evaluation criteria.MethodsA total of 24,948 adults aged 20-60 years in Beijing, including 10,225 males and 14,192 females, were included, divided into four age groups (20-29, 30-39, 40-49, and ≥ 50 years) with each decade of age as an age group. Body composition indicators (BMI, fat mass, BF%, muscle mass, visceral fat area, and WHR) were measured in all subjects.ResultsBMI and total fat mass peaked in males aged 40-49 years (BMI = 25.75 kg/m2, total fat mass = 17.70 kg). Female BMI, fat mass and BF% all increased significantly with age (p < 0.01). Total muscle peaked in males aged 30-39 years and decreased significantly thereafter (p < 0.0001). Visceral fat area and WHR increased significantly with age in both sexes (p < 0.0001). Age was significantly positively correlated with BMI, BF%, fat mass, WHR, and visceral fat area in both sexes (p < 0.0001), and age was negatively correlated with muscle mass in males (standard β = - 0.14, p < 0.0001) while positive in female (standard β = 0.05, p < 0.0001). Under the BMI criterion, the obesity rate peaked at 27.33% in males at the age of 20-29 years. Under the BF% criterion, the obesity rate peaked at 17.41% in males at the age of 30-39 years, and increased in females with age. The central obesity rate of both sexes increased with age under the criteria of WHR and visceral fat area.ConclusionThe results of this study reveal that age- and sex-related patterns of body composition and obesity change among Beijing adults aged 20-60 years may differ across age groups and that such patterns of change should be considered when developing public health strategies.

Dataset Information

The impact of smoking on estimated biological age and body fat composition: A cross-sectional study.

Introduction

Methods

Results

Conclusions

Publications

The impact of smoking on estimated biological age and body fat composition: A cross-sectional study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets