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  • 1
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2023
    In:  Medicine & Science in Sports & Exercise Vol. 55, No. 5 ( 2023-5), p. 884-891
    In: Medicine & Science in Sports & Exercise, Ovid Technologies (Wolters Kluwer Health), Vol. 55, No. 5 ( 2023-5), p. 884-891
    Abstract: Physical activity levels (PAL) are associated with mortality risk and were instrumental in estimating national energy requirements, but we are unaware of population-based estimates of PAL in US adults. Thus, we conducted a nationwide survey using a validated previous-day recall method to estimate PAL and the behavioral determinants of low and higher PAL. Methods Participants from the AmeriSpeak panel 20–75 yr of age ( N = 2640) completed Activities Completed over Time in 24-hours previous-day recalls. PAL values were estimated as the average metabolic equivalent value over 24 h. Recalls were conducted on randomly selected days in October and November 2019. Survey sample design weights were applied to reflect the US population. Results Mean age was 45.3 yr, 51% were female, 67% were non-Hispanic White, and 37% had a body mass index of ≥30 kg·m −2 . US adults reported a mean PAL of 1.63 (95% confidence interval, 1.60–1.65), and 39% (37%–42%) of adults reported PAL ≥1.6 on a given day. Men reported higher PAL than women (1.67 vs 1.59), and older adults reported lower PAL. Adults with PAL 〈 1.4 spent 81% (12.1 h·d −1 ) of their waking day sedentary and 19% (2.7 h·d −1 ) in total physical activity. Adults with PAL considered to be “active”(1.6–1.89) spent only 49% (8.0 h·d −1 ) of their waking day sedentary, and 51% (8.3 h·d −1 ) physically active. Conclusions Our study provides novel estimates of PAL in a nationwide sample of US adults and a description of the type and intensity of sedentary and physically active behaviors contributing to low and higher PAL. These findings may inform public health messages aimed at increasing physical activity in adults and potentially contribute to obesity prevention efforts.
    Type of Medium: Online Resource
    ISSN: 1530-0315 , 0195-9131
    RVK:
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2023
    detail.hit.zdb_id: 2031167-9
    SSG: 31
    Location Call Number Limitation Availability
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  • 2
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2012
    In:  Medicine & Science in Sports & Exercise Vol. 44, No. 1S ( 2012-01), p. S13-S23
    In: Medicine & Science in Sports & Exercise, Ovid Technologies (Wolters Kluwer Health), Vol. 44, No. 1S ( 2012-01), p. S13-S23
    Type of Medium: Online Resource
    ISSN: 0195-9131
    RVK:
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2012
    detail.hit.zdb_id: 2031167-9
    SSG: 31
    Location Call Number Limitation Availability
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  • 3
    In: Medicine & Science in Sports & Exercise, Ovid Technologies (Wolters Kluwer Health), Vol. 55, No. 10 ( 2023-10), p. 1781-1791
    Abstract: The aim of this study was to understand the serum metabolomic signatures of moderate-to-vigorous physical activity (MVPA) and sedentary behavior, and further associate their metabolomic signatures with incident cardiometabolic diseases. Methods This analysis included 2711 US Hispanics/Latinos from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) aged 18–74 yr (2008–2011). An untargeted, liquid chromatography–mass spectrometry was used to profile the serum metabolome. The associations of metabolites with accelerometer-measured MVPA and sedentary time were examined using survey linear regressions adjusting for covariates. The weighted correlation network analysis identified modules of correlated metabolites in relation to sedentary time, and the modules were associated with incident diabetes, dyslipidemia, and hypertension over the 6-yr follow-up. Results Of 624 metabolites, 5 and 102 were associated with MVPA and sedentary behavior at false discovery rate (FDR) 〈 0.05, respectively, after adjusting for socioeconomic and lifestyle factors. The weighted correlation network analysis identified 8 modules from 102 metabolites associated with sedentary time. Four modules (branched-chain amino acids, erythritol, polyunsaturated fatty acid, creatine) were positively, and the other four (acyl choline, plasmalogen glycerol phosphatidyl choline, plasmalogen glycerol phosphatidyl ethanolamine, urea cycle) were negatively correlated with sedentary time. Among these modules, a higher branched-chain amino acid score and a lower plasmalogen glycerol phosphatidyl choline score were associated with increased risks of diabetes and dyslipidemia. A higher erythritol score was associated with an increased risk of diabetes, and a lower acyl choline score was linked to an increased risk of hypertension. Conclusions In this study of US Hispanics/Latinos, we identified multiple serum metabolomic signatures of sedentary behavior and their associations with risk of incident diabetes, hypertension, and dyslipidemia. These findings suggest a potential role of circulating metabolites in the links between sedentary behavior and cardiometabolic diseases.
    Type of Medium: Online Resource
    ISSN: 1530-0315 , 0195-9131
    RVK:
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2023
    detail.hit.zdb_id: 2031167-9
    SSG: 31
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
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