Dataset Information

Metabolic Profiling of Total Physical Activity and Sedentary Behavior in Community-Dwelling Men.

ABSTRACT:

Objective

Physical activity is known to be preventive against various non-communicable diseases. We investigated the relationship between daily physical activity level and plasma metabolites using a targeted metabolomics approach in a population-based study.

Methods

A total of 1,193 participants (male, aged 35 to 74 years) with fasting blood samples were selected from the baseline survey of a cohort study. Information on daily total physical activity, classified into four levels by quartile of metabolic equivalent scores, and sedentary behavior, defined as hours of sitting per day, was collected through a self-administered questionnaire. Plasma metabolite concentrations were quantified by capillary electrophoresis mass spectrometry method. We performed linear regression analysis models with multivariable adjustment and corrected p-values for multiple testing in the original population (n = 808). The robustness of the results was confirmed by replication analysis in a separate population (n = 385) created by random allocation.

Results

Higher levels of total physical activity were associated with various metabolite concentrations, including lower concentrations of amino acids and their derivatives, and higher concentrations of pipecolate (FDR p <0.05 in original population). The findings persisted after adjustment for age, body mass index, smoking, alcohol intake, and energy intake. Isoleucine, leucine, valine, 4-methyl-2-oxoisopentanoate, 2-oxoisopentanoate, alanine, and proline concentrations were lower with a shorter sitting time.

Conclusions

Physical activity is related to various plasma metabolites, including known biomarkers for future insulin resistance or type 2 diabetes. These metabolites might potentially play a key role in the protective effects of higher physical activity and/or less sedentary behavior on non-communicable diseases.

SUBMITTER: Fukai K

PROVIDER: S-EPMC5065216 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Metabolic Profiling of Total Physical Activity and Sedentary Behavior in Community-Dwelling Men.

Fukai Kota K Fukai Kota K Harada Sei S Iida Miho M Kurihara Ayako A Takeuchi Ayano A Kuwabara Kazuyo K Sugiyama Daisuke D Okamura Tomonori T Akiyama Miki M Nishiwaki Yuji Y Oguma Yuko Y Suzuki Asako A Suzuki Chizuru C Hirayama Akiyoshi A Sugimoto Masahiro M Soga Tomoyoshi T Tomita Masaru M Takebayashi Toru T

PloS one 20161014 10

<h4>Objective</h4>Physical activity is known to be preventive against various non-communicable diseases. We investigated the relationship between daily physical activity level and plasma metabolites using a targeted metabolomics approach in a population-based study.<h4>Methods</h4>A total of 1,193 participants (male, aged 35 to 74 years) with fasting blood samples were selected from the baseline survey of a cohort study. Information on daily total physical activity, classified into four levels b ...[more]

PMID: 27741291

Similar Datasets

Project description:Background: Little is known about the role of perceived neighborhood environment as a determinant of physical activity (PA) and sedentary time (ST) in understanding obesity-related health behaviors. We focus on a biracial, socioeconomically diverse population using objectively measured ST, which is under-represented in the literature. Methods: We examined the association between self-reported neighborhood perception (Likert-scale questions), PA using the Baecke questionnaire, and both non-sedentary time and ST using accelerometry from wave 4 of the Healthy Aging in Neighborhoods of Diversity across the Life Span (HANDLS) study (n = 2,167). After applying exclusion criteria, the sample size was n = 1,359 for analyses of self-reported PA and n = 404 for analyses of accelerometry data. Factor analysis identified key neighborhood characteristics to develop a total neighborhood perception score (NPS). Higher NPS indicated less favorable neighborhood perception. Linear regression was used to determine the relationship between NPS, PA, non-sedentary time, and ST. Results: Complete data were available for n = 1,359 [age 56.6(9.0) years, 59.5% female, 62.2% African American] for whom we identified four neighborhood perception factors: (1) concern about crime, (2) physical environment, (3) location of violent crime, and (4) social environment. Worsening perception of the overall neighborhood [β = -0.13 (SE = 0.03); p = 0.001], the physical environment [-0.11 (0.05); p = 0.03], and the social environment [-0.46 (0.07); p < 0.0001] were associated with decreased PA. Worsening perception of the overall neighborhood [1.14 (0.49); p = 0.02] and neighborhood social environment [3.59 (1.18); p = 0.003] were associated with increased ST over the day. There were no interactions for race, sex, poverty status, or economic index. Conclusion: Poor overall neighborhood perception, perceived social environment, and perceived neighborhood physical environment are associated with PA and ST in a multi-racial, socioeconomically diverse cohort of urban adults. Clinical Trial Registration: The HANDLS study is registered at ClinicalTrials.gov as NCT01323322.

Project description:BackgroundOlder adults are recommended to sleep 7-8?h/day. Time in bed (TIB) differs from sleep duration and includes also the time of lying in bed without sleeping. Long TIB (?9?h) are associated with self-reported sedentary behavior, but the association between objectively measured physical activity, sedentary behavior and TIB is unknown.MethodsThis study was based on cross-sectional analysis of the Healthy Ageing Network of Competence (HANC Study). Physical activity and sedentary behaviour were measured by a tri-axial accelerometer (ActiGraph) placed on the dominant wrist for 7?days. Sedentary behavior was classified as <?2303 counts per minute (cpm) in vector magnitude and physical activity intensities were categorized, as 2303-4999 and???5000?cpm in vector magnitude. TIB was recorded in self-reported diaries. Participants were categorized as UTIB (usually having TIB 7-9?h/night: ?80% of measurement days), STIB (sometimes having TIB 7-9?h/night: 20-79% of measurement days), and RTIB (rarely having TIB 7-9?h/night: <?20% of measurement days). Multinominal regression models were used to calculate the relative risk ratios (RRR) of being RTIB and STIB by daily levels of physical activity and SB, with UTIB as the reference group. The models were adjusted for age, sex, average daily nap length and physical function.ResultsThree hundred and fourty-one older adults (median age 81 (IQR 5), 62% women) were included with median TIB of 8?h 21?min (1?h 10?min)/day, physical activity level of 2054 (864) CPM with 64 (15) % of waking hours in sedentary behavior. Those with average CPM within the highest tertile had a lower RRR (0.33 (0.15-0.71), p?=?0.005) for being RTIB compared to those within the lowest tertile of average CPM. Accumulating physical activity in intensities 2303-4999 and???5000?cpm/day did not affect the RRR of being RTIB. RRR of being RTIB among highly sedentary participants (?10?h/day of sedentary behavior) more than tripled compared to those who were less sedentary (3.21 (1.50-6.88), p?=?0.003).ConclusionsFor older adults, being physically active and less sedentary was associated with being in bed for 7-9?h/night for most nights (?80%). Future longitudinal studies are warranted to explore the causal relationship sbetween physical activity and sleep duration.

Dataset Information

Metabolic Profiling of Total Physical Activity and Sedentary Behavior in Community-Dwelling Men.

Objective

Methods

Results

Conclusions

Publications

Metabolic Profiling of Total Physical Activity and Sedentary Behavior in Community-Dwelling Men.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure