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

Determinants of Resting Oxidative Stress in Middle-Aged and Elderly Men and Women: WASEDA'S Health Study.
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DOI:
10.1155/2021/5566880
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发表时间:
2021
影响因子:
--
通讯作者:
Muraoka I
Muraoka I
中科院分区:
生物学2区
文献类型:
--
作者:
Kawamura T;Tanisawa K;Kawakami R;Usui C;Ito T;Tabata H;Nakamura N;Kurosawa S;Choi W;Ma S;Radak Z;Sawada SS;Suzuki K;Ishii K;Sakamoto S;Oka K;Higuchi M;Muraoka I

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以前的研究没有调查静息氧化应激的决定因素,包括身体健康,因为它与氧化还原调节有关。因此,本研究旨在确定决定静息氧化应激的生活方式和生物因素,包括客观测量的身体健康。对873名中老年男女进行了年龄和人体测量参数、生活方式相关参数、药物和补充状况、体质、生化参数和营养摄入状况以及3种血浆氧化应激标志物:蛋白质羰基(PC)、F2-异前列烷(F2-IsoP)和硫代巴比妥酸反应物质(TBARS)的调查和测量。采用逐步多元回归分析对所有参与者的PC,F2-IsoP和TBARS的决定因素进行了研究。在PC中,年龄(β = −0.11,P = 0.002)、腿部伸展力(β = −0.12,P = 0.008)、BMI(β = 0.12,P = 0.004)和HDL-C(β = 0.08,P = 0.040)被纳入回归模型(校正R2 = 0.018)。在F2-IsoP中,吸烟状态(β = 0.07,P = 0.060)、BMI(β = 0.07,P = 0.054)和HbA 1c(β =-0.06,P = 0.089)被纳入回归模型(校正R2 = 0.006)。在TBARS中,葡萄糖(β = 0.18,P < 0.001),CRF(β = 0.16,P < 0.001),年龄(β = 0.15,P < 0.001),TG(β = 0.11,P = 0.001),补充抗氧化剂(β = 0.10,P = 0.002)和HbA 1c(β =-0.13,P = 0.004)被纳入回归模型(校正R2 = 0.071)。总之,本研究表明,年龄,人体测量指数,生活方式相关的参数,药物和补充状态,客观测量的身体素质,生化参数和营养摄入状态解释不到10%的氧化应激在休息。
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 < 0.001), CRF (β = 0.16, P < 0.001), age (β = 0.15, P < 0.001), TG (β = 0.11, P = 0.001), antioxidant supplementation (β = 0.10, P = 0.002), and HbA1c (β = −0.13, P = 0.004) were included in the regression model (adjusted R2 = 0.071). In conclusion, the present study showed that age, anthropometric index, lifestyle-related parameters, medication and supplementation status, objectively measured physical fitness, biochemical parameters, and nutritional intake status explain less than 10% of oxidative stress at rest.
DOI: 10.2147/cia.s158513
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影响因子: 3.6
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