182 research outputs found

    The percentage (%) of participants, (n<sup>§</sup> = 2188) reporting sport and exercise activities on a regular basis<sup>‡</sup>, by gender.

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    <p><sup>§</sup> Percentages reported are based on available n for each specific activity; <sup>‡</sup>‘report of weekly participation in ‘x’ activity of minimum duration, 30 minutes per episode’. <sup>*</sup>p<0.05; <sup>‡</sup>p<0.10: test of gender difference. <i>Note</i>: No difference by gender existed for exercises with weights and conditioning exercises either in the last year or report of regular participation; N's were not robust to examine football, horse-riding, cricket, ice-skating, martial arts, and netball by gender due to low number of participants reporting these activities. Activity order was determined by the most frequent activity in both genders combined. Top ten most frequently reported activities by gender (where ‘1’ indicates most frequently reported activity): <i>Men</i>: 1) walking for pleasure, 2) golfing, 3) floor exercises, 4) backpacking/hill-walking, 5) conditioning exercises, 6) cycling, 7) swimming, 8) exercises with weights, 9) fishing and 10) snooker. <i>Women</i>: 1) walking for pleasure, 2) floor exercises, 3) swimming, 4) conditioning exercises, 5) aerobics, 6) dancing, 7) backpacking/hill-walking, 8) exercises with weights, 9) golfing and 10) cycling.</p

    Diversity in leisure-time physical activity and participation in different activity-types, % (CI), by gender and obesity status.

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    <p>Note: Values for football, cricket and winter sports (e.g., skiing) represented time spent in activity during the season.</p>â–¡<p>Any report of activity (activities) in last year.</p>Â¥<p>Report of average participation in activity (activities) for 30+ min per week; note that values used for skiing, winter sport football and cricket represented time spent in season.</p>a<p>cardio-respiratory, which included: walking for pleasure; backpacking/hill-walking; running/jogging; golfing; swimming; cycling; aerobics; rowing; racquet sports; netball/volleyball/basketball; football; cricket; horse-riding; ice-skating; winter-sports (e.g., skiing); <sup>b</sup>Martial arts, dancing, floor exercises; <sup>c</sup>Exercises with weights, conditioning exercises; <sup>d</sup>Combination of Cardio-respiratory, Balance and flexibility and Strength.</p><p>*Indicates <i>p</i><0.05 for chi-squared test of association by BMI status within gender.</p

    The percentage (%) of participants reporting each sport and exercise activity in the past year and mean (SD) time (minutes per week) spent in each activity.

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    <p>*N varies due to missing data for specific activities.</p>‡<p>Represents mean time spent in activity among those reporting activity participation in past year.</p>a<p>: Combined swimming leisurely and competitive swimming; <sup>b</sup>: Combined cycling recreational and competitive cycling; <sup>c</sup>: Combined high-impact aerobics and other aerobics; <sup>d</sup>Combined tennis and squash; <sup>e</sup>Combined jogging and competitive running.</p>◊<p>Values represent time spent in activity during the season.</p

    The percentage (%) of men (n<sup>§</sup> = 1046) and women (n<sup>§</sup> = 1142) reporting sport and exercise activities on a regular basis<sup>‡</sup>, by obesity status.

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    <p><sup>§</sup> Percentages reported are based on available n for each specific activity;<sup> ‡</sup>‘report of weekly participation in ‘x’ activity of minimum duration, 30 minutes per episode’. <sup>*</sup>p<0.05; <sup>‡</sup>p<0.10: test of difference by obesity status. (A) Activity order was determined by the most frequent activity among men. Top ten most frequently reported activities among men (where ‘1’ indicates most frequently reported activity): <i>BMI<30 kg/m<sup>2</sup></i>: 1) walking for pleasure, 2) golfing, 3) floor exercises, 4) backpacking/hill-walking, 5) conditioning exercises, 6) cycling, 7) swimming, 8) fishing, 9) exercises with weights and 10) snooker. <i>BMI≥30 kg/m<sup>2</sup></i>: 1) walking for pleasure, 2) golfing, 3) conditioning exercises, 4) backpacking/hill-walking, 5) fishing, 6) exercises with weights, 7) swimming, 8) floor exercises, 9) sailing and 10) cycling. (B) Activity order was determined by the most frequent activity among women. Top ten most frequently reported activities among women (where ‘1’ indicates most frequently reported activity): <i>BMI<30 kg/m<sup>2</sup></i>: 1) walking for pleasure, 2) floor exercises, 3) swimming, 4) aerobics, 5) conditioning exercise, 6) dancing,7) backpacking/hill-walking, 8) exercises with weights, 9) golfing and 10) cycling. <i>BMI≥30 kg/m<sup>2</sup></i>: 1) walking for pleasure, 2) floor exercises, 3) swimming, 4) conditioning exercise, 5) aerobics, 6) exercises with weights, 7) dancing, 8) bowling, 9) backpacking/hill-walking and 10) cycling.</p

    Relative risk of death from cancer according to waist circumference and body mass index.

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    <p>The multivariate models used person-time as the underlying time metric and included the following covariates: age at entry (continuous), sex (male, female), race/ethnicity (white, black, Hispanic, Asian), smoking status (never, former, current), and alcohol intake (0, <1, <3, ≥3 drinks per day). The analyses of waist circumference were additionally adjusted for body-mass index (18.5–24.9, 25.0–29.9, 30.0–34.9, ≥35.0 kg/m<sup>2</sup>). Obesity-related cancers include colon cancer, breast cancer, esophageal cancer, uterine cancer, ovarian cancer, kidney cancer, and pancreatic cancer.</p

    Relative risk of death from any cause according to waist circumference and body mass index.

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    <p>The multivariate models used person-time as the underlying time metric and included the following covariates: age at entry (continuous), sex (male, female), race/ethnicity (white, black, Hispanic, Asian), smoking status (never, former, current), and alcohol intake (0, <1, <3, ≥3 drinks per day). The analysis of waist circumference was additionally adjusted for body-mass index (18.5–24.9, 25.0–29.9, 30.0–34.9, ≥35.0 kg/m<sup>2</sup>).</p

    Multivariate relative risk of death from any cause and death from specific causes according to joint categories of waist circumference and body mass index.

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    <p>The multivariate models used person-time as the underlying time metric and included the following covariates: age at entry (continuous), sex (male, female), race/ethnicity (white, black, Hispanic, Asian), smoking status (never, former, current), and alcohol intake (0, <1, <3, ≥3 drinks per day). Participants with a waist circumference of <80 cm (women) or <94 cm (men) served as the reference group.</p

    Relative risk of death from any non-cancer/non-cardiovascular diseases and from selected non-cancer/non-cardiovascular diseases according to waist circumference and body mass index.

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    <p>The multivariate models used person-time as the underlying time metric and included the following covariates: age at entry (continuous), sex (male, female), race/ethnicity (white, black, Hispanic, Asian), smoking status (never, former, current), and alcohol intake (0, <1, <3, ≥3 drinks per day). The analyses of waist circumference were additionally adjusted for body-mass index (18.5–24.9, 25.0–29.9, 30.0–34.9, ≥35.0 kg/m<sup>2</sup>).</p

    Relative risk of death from cardiovascular disease according to waist circumference and body mass index.

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    <p>The multivariate models used person-time as the underlying time metric and included the following covariates: age at entry (continuous), sex (male, female), race/ethnicity (white, black, Hispanic, Asian), smoking status (never, former, current), and alcohol intake (0, <1, <3, ≥3 drinks per day). The analyses of waist circumference were additionally adjusted for body-mass index (18.5–24.9, 25.0–29.9, 30.0–34.9, ≥35.0 kg/m<sup>2</sup>).</p

    Relative risk of death from selected non-cancer/non-cardiovascular diseases according to waist circumference and body mass index.

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    <p>The multivariate models used person-time as the underlying time metric and included the following covariates: age at entry (continuous), sex (male, female), race/ethnicity (white, black, Hispanic, Asian), smoking status (never, former, current), and alcohol intake (0, <1, <3, ≥3 drinks per day). The analyses of waist circumference were additionally adjusted for body-mass index (18.5–24.9, 25.0–29.9, 30.0–34.9, ≥35.0 kg/m<sup>2</sup>).</p
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