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ORIGINAL RESEARCH

Impact of Moderate Physical Activity on Inflammatory Markers and Telomere Length in Sedentary and Moderately Active Individuals with Varied Insulin Sensitivity

ORCID Icon, , , , &
Pages 5427-5438 | Received 27 Aug 2023, Accepted 07 Nov 2023, Published online: 20 Nov 2023

Figures & data

Table 1 General Characteristics of Study Participants

Table 2 Linear Regression Analysis Evaluating the Differences in Cytokines, Oxidative Stress Markers and Telomere Length (TL) Between ISA Vs ISS After Correcting for Potential Confounders

Table 3 Linear Regression Analysis Evaluating the Differences in Cytokines, Oxidative Stress Markers and Telomere Length (TL) Between IRA Vs IRS After Correcting for Potential Confounders

Figure 1 Comparing levels of serum IL-10 (a) and IL-6 (b) cytokines among ISS, ISA, IRS and IRA groups. Linear regression analysis evaluating the differences among the studied groups after correcting for age, BMI, gender, and fasting time. Data are presented as Mean±SEM. p* <0.05.

Figure 1 Comparing levels of serum IL-10 (a) and IL-6 (b) cytokines among ISS, ISA, IRS and IRA groups. Linear regression analysis evaluating the differences among the studied groups after correcting for age, BMI, gender, and fasting time. Data are presented as Mean±SEM. p* <0.05.

Figure 2 Comparing level of SOD among ISS, ISA, IRS and IRA groups (a) and between active and sedentary (b). Linear regression analysis evaluating the differences among the studied groups after correcting for age, BMI, gender, and fasting time. Data are presented as Mean±SEM. p* <0.05.

Figure 2 Comparing level of SOD among ISS, ISA, IRS and IRA groups (a) and between active and sedentary (b). Linear regression analysis evaluating the differences among the studied groups after correcting for age, BMI, gender, and fasting time. Data are presented as Mean±SEM. p* <0.05.

Figure 3 Comparing DNA telomere length among ISS, ISA, IRS and IRA groups. Linear regression analysis evaluating the differences among the studied groups after correcting for age, BMI, gender, and fasting time. Data are presented as Mean±SEM.

Figure 3 Comparing DNA telomere length among ISS, ISA, IRS and IRA groups. Linear regression analysis evaluating the differences among the studied groups after correcting for age, BMI, gender, and fasting time. Data are presented as Mean±SEM.

Figure 4 Heatmap representing significant correlations among cytokines, oxidative stress markers and telomere length measured in the whole cohort (n = 368). Correlation coefficient range (0–1) is color-coded (blue) and range (−1-0) is color-coded red. Correlations were made using Spearman correlation analysis (* p ≤ 0.05, ** p ≤ 0.01).

Figure 4 Heatmap representing significant correlations among cytokines, oxidative stress markers and telomere length measured in the whole cohort (n = 368). Correlation coefficient range (0–1) is color-coded (blue) and range (−1-0) is color-coded red. Correlations were made using Spearman correlation analysis (* p ≤ 0.05, ** p ≤ 0.01).

Data Sharing Statement

Data are available from the corresponding author upon reasonable request.