Determinants of Resting Oxidative Stress in Middle-Aged and Elderly Men and Women: WASEDA’S Health Study

Previous studies have not investigated the determinants of resting oxidative stress, including physical fitness, as it relates to redox regulation. The present study therefore was aimed at identifying lifestyle and biological factors that determine resting oxidative stress, including objectively mea...

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Published in:Oxidative medicine and cellular longevity 2021, Vol.2021 (1), p.5566880-5566880
Main Authors: Kawamura, Takuji, Tanisawa, Kumpei, Kawakami, Ryoko, Usui, Chiyoko, Ito, Tomoko, Tabata, Hiroki, Nakamura, Nobuhiro, Kurosawa, Sayaka, Choi, Wonjun, Ma, Sihui, Radak, Zsolt, Sawada, Susumu S., Suzuki, Katsuhiko, Ishii, Kaori, Sakamoto, Shizuo, Oka, Koichiro, Higuchi, Mitsuru, Muraoka, Isao
Format: Article
Language:English
Subjects:
Anticoagulants
Antioxidants
Blood pressure
Body fat
Cardiac stress tests
Cross-Sectional Studies
Exercise
Female
Heart rate
Humans
Lifestyles
Male
Medical tests
Middle Aged
Oxidative Stress
Physical fitness
Questionnaires
Surveys and Questionnaires
Variables
Vitamin C
Womens health
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Summary:Previous studies have not investigated the determinants of resting oxidative stress, including physical fitness, as it relates to redox regulation. The present study therefore was aimed at identifying lifestyle and biological factors that determine resting oxidative stress, including objectively measured physical fitness. In 873 middle-aged and elderly men and women, age and anthropometric parameters, lifestyle-related parameters, medication and supplementation status, physical fitness, biochemical parameters, and nutritional intake status, as well as three plasma oxidative stress markers: protein carbonyl (PC), F2-isoprostane (F2-IsoP), and thiobarbituric acid reactive substances (TBARS), were surveyed and measured. The determinants of PC, F2-IsoP, and TBARS in all participants were investigated using stepwise multiple regression analysis. In PC, age (β=−0.11, P=0.002), leg extension power (β=−0.12, P=0.008), BMI (β=0.12, P=0.004), and HDL-C (β=0.08, P=0.040) were included in the regression model (adjusted R2=0.018). In the F2-IsoP, smoking status (β=0.07, P=0.060), BMI (β=0.07, P=0.054), and HbA1c (β=−0.06, P=0.089) were included in the regression model (adjusted R2=0.006). In TBARS, glucose (β=0.18, P
ISSN:1942-0900
1942-0994
DOI:10.1155/2021/5566880