Relationship between a 14-Day Recall Measure of Leisure-Time Physical Activity and a Submaximal Test of Physical Work Capacity in a Population Sample of Australian Adults

1996 ◽  
Vol 67 (2) ◽  
pp. 221-227 ◽  
Author(s):  
Michael L. Booth ◽  
Neville Owen ◽  
Adrian Bauman ◽  
Christopher J. Gore
Keyword(s):  
Physical Activity ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Population Sample ◽  
Work Capacity ◽  
Physical Work ◽  
Physical Work Capacity

Correlates of Self-Perceived Fitness

1992 ◽  
Vol 74 (3) ◽  
pp. 907-914 ◽  
Author(s):  
Kevin L. Lamb
Keyword(s):  
Leisure Time ◽  
Stepwise Regression ◽  
Leisure Time Physical Activity ◽  
Work Capacity ◽  
Ordinal Scale ◽  
Physical Work ◽  
Physical Work Capacity ◽  
Regression Analyses ◽  
Men And Women ◽  
Fitness And Health

This paper reports the associations between two global measures of self-perceived fitness and numerous objective fitness and fitness-related measures among 118 British men and women (mean age = 37.9 yr.). Self-perceived fitness, indicated on both a semantic scale of excellent through very poor (I) and an ordinal scale of 1 through 5 (II), was significantly correlated with most fitness and fitness-related variables. For self-perceived fitness I and II, respectively, these included physical work capacity ( rho = 0.48 and 0.51), percent body fat ( rho = −0.27 and −0.39), grip strength ( rho = 0.30 and 0.35), very hard leisure-time physical activity ( rho = 0.47 and 0.35), and frequency of sweating ( rho = 0.54 and 0.45). Stepwise regression analyses yielded Rs of 0.70 and 0.64 for self-perceived fitness I and II, respectively. A significant correlate of self-perceived fitness was self-perceived health ( rho = 0.47), suggesting that people may perceive fitness and health in the same manner. The present data suggest the considerable scope for examining further how people interpret the concept of fitness.

Occupational and Leisure-Time Physical Activity Have Different Relationships With Health: A Cross-Sectional Survey Study of Working Nurses

2021 ◽  
pp. 1-8
Author(s):  
Helen M. Parker ◽  
Robyn Gallagher ◽  
Christine Duffield ◽  
Ding Ding ◽  
David Sibbritt ◽  
...  
Keyword(s):  
Physical Activity ◽  
Confidence Interval ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Survey Study ◽  
Physical Work ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
South Wales ◽  
Activity Questionnaires

Background: Recent research has focused on the potential benefits of physical activity in occupational settings in addition to leisure time. However, occupational physical activity (OPA) differs substantially for occupations that require heavy and repetitive physical work, such as nursing. We explored associations between leisure time and OPA and health outcomes in working nurses and midwives. Methods: Nurses who were enrolled in the Fit For the Future study (New South Wales, Australia) and who completed physical activity questionnaires (n = 4343) were classified according to high (HO) or low (LO) occupational and high (HL) or low (LL) leisure-time physical activity (LTPA): HO performed walking/heavy labor most/all of the time at work; HL met the guidelines of 150 minutes per week moderate to vigorous LTPA, creating 4 categories: HOLL, HOHL, LOHL, and LOLL. Results: HL predicted better self-rated health (unstandardized B = 0.51, 95% confidence interval, 0.44 to 0.57) and lower likelihood of ≥3 sick days in the past 12 months (OR: 0.71, 95% confidence interval, 0.61 to 0.83), whereas HO predicted higher likelihood of ≥3 sick days (OR: 1.17, 95% confidence interval, 1.01 to 1.35), adjusting for all variables. Conclusions: OPA may not confer the same health benefits as LTPA for nurses. Health-promoting interventions should emphasize the importance of achieving adequate moderate to vigorous LTPA for all, including those undertaking substantial OPA.

Physical-work ability and chronic musculoskeletal complaints are related to leisure-time physical activity: Cross-sectional study among manual workers aged 50–70 years

2019 ◽  
Vol 47 (3) ◽  
pp. 375-382 ◽  
Author(s):  
Kristoffer L. Norheim ◽  
Afshin Samani ◽  
Jakob Hjort Bønløkke ◽  
Øyvind Omland ◽  
Pascal Madeleine
Keyword(s):  
Physical Activity ◽  
Work Ability ◽  
High Intensity ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Physical Work ◽  
Musculoskeletal Complaints ◽  
Low Intensity ◽  
Intensity Physical Activity ◽  
Physical Work Ability

Aims: To investigate the associations between both high- and low-intensity leisure-time physical activity on physical-work ability and chronic musculoskeletal complaints among manual workers aged 50–70 years. Methods: In this cross-sectional study, 1763 manual workers (mean age 57.1, SD ± 4.7 years) replied to questions about leisure-time physical activity, physical-work ability, chronic musculoskeletal complaints as well as health and lifestyle factors. Ordinal and binomial logistic regression models were constructed to assess the influence of the duration of both low- and high-intensity physical activity on physical-work ability and chronic musculoskeletal complaints, respectively. Models were adjusted for gender, age, smoking, alcohol intake, body mass index, physical-work demand, work experience, chronic disease and, regarding physical-work ability, also for chronic musculoskeletal complaints. Results: A statistically significant association between greater physical-work ability and high-intensity physical activity was found for workers engaged in 3–4 h/wk and ⩾ 5 h/wk (OR 1.59, 95% CI 1.15–2.19 and OR 1.56, 95% CI 1.10–2.22, respectively). For both high- and low-intensity physical activity, a duration of 3–4 h/wk was associated with lower odds of reporting chronic musculoskeletal complaints in the knees (OR 0.65, 95% CI 0.42–1.00 and OR 0.61, 95% CI 0.38–0.99, respectively). Conclusions: Engaging in ⩾ 3 h/wk of high-intensity leisure-time physical activity was associated with greater physical-work ability among manual workers aged 50–70 years. Both high- and low-intensity physical activity related to lower odds of having chronic musculoskeletal complaints in the knees.

Relation of Academic Performance to Physical Activity and Fitness in Children

2001 ◽  
Vol 13 (3) ◽  
pp. 225-237 ◽  
Author(s):  
Terence Dwyer ◽  
James F. Sallis ◽  
Leigh Blizzard ◽  
Ross Lazarus ◽  
Kimberlie Dean
Keyword(s):  
Physical Activity ◽  
Academic Performance ◽  
Work Capacity ◽  
Physical Work ◽  
Physical Work Capacity ◽  
Cross Sectional ◽  
Standing Long Jump ◽  
Long Jump ◽  
Nationally Representative ◽  
School Ratings

The objective of this study was to examine the association of scholastic performance with physical activity and fitness of children. To do so, school ratings of scholastic ability on a five-point scale for a nationally representative sample of 7,961 Australian schoolchildren aged 7–15 years were compared with physical activity and fitness measurements. Consistently across age and sex groups, the ratings were significantly correlated with questionnaire measures of physical activity and with performance on the 1.6-kilometer run, sit-ups and push-ups challenges, 50-meter sprint, and standing long jump. There were no significant associations for physical work capacity at a heart rate of 170 (PWC170). The results are concordant with the hypothesis that physical activity enhances academic performance, but the cross-sectional nature of the observations limits causal inference, and the disparity for PWC170 gives reason to question whether the associations were due to measurement bias or residual confounding.

The Relationship between Peak Oxygen Uptake and Physical Activity in 6- to 8-Year-Old Children

1989 ◽  
Vol 1 (2) ◽  
pp. 127-136 ◽  
Author(s):  
Juliane R. Fenster ◽  
Patty S. Freedson ◽  
Richard A. Washburn ◽  
R. Curtis Ellison
Keyword(s):  
Physical Activity ◽  
Aerobic Capacity ◽  
Large Scale ◽  
Work Capacity ◽  
Peak Oxygen Uptake ◽  
Physical Work ◽  
Physical Work Capacity ◽  
Activity Levels ◽  
Activity Method ◽  
The Relationship

The relationship between physical activity measured using the LSI (Large Scale Integrated Activity Monitor), and questionnaire, with physical work capacity 170 (PWC 170) and aerobic capacity (peak V̇O2) was evaluated in 6- to 8-year-old children (n = 18). The mean (± SD) peak V̇O2 was 44.1 ± 5.6 ml • kg−1 • min−1. Peak V̇O2 was not significantly different for children (n = 8) who had completed two treadmill trials (45.4 vs. 43.5 ml • kg−1 • min−1; R = 0.67, p<0.05). The log LSI expressed as counts per hour (M ± SD = 2.1 ±.22 cts/hr) was the only activity method significantly related to peak V̇O2 (r = 0.59, p<0.05). The correlation between peak V̇O2 with the questionnaire was positive but nonsignificant (r = 0.20). PWC 170 was not related to peak V̇O2 (r = 0.21) or the activity variables (r = 0.12 questionnaire; r = 0.18 log LSI). When the group was divided into high and low peak V̇O2 groups (high: M = 48.8 ml • kg−1 • min−1; low: M = 39.5 ml • kg−1 • min−1), the log LSI was able to distinguish significant differences in activity levels (high: 2.23 ±. 19 cts/hr; low: 1.99±.19 cts/hr). This study suggests that activity measured with the LSI and aerobic capacity are related in this sample of 6- to 8-year-old children.

Relationship Between Physical Activity and the Objective Indicators of Physical Capital for Women in Fitness

2015 ◽  
Vol 6 (2) ◽  
pp. 21-35
Author(s):  
Aleksandra Čuprika ◽  
Andra Fernāte ◽  
Leonīds Čupriks
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Physical Fitness ◽  
Functional State ◽  
Physical Capital ◽  
Work Capacity ◽  
Physical Work ◽  
Physical Work Capacity ◽  
The Impact ◽  
Objective Indicators

Abstract As it is mentioned in the action direction Healthy and Workable Individual of the National Development Plan of Latvia 2012 –2020: 30% of all the dead in Latvia have lost their life at the age of being able to work. The main causes of death rate are different diseases (cardio-vascular a.o.), as well as outer death causes (injuries) (Pudule et al, 2012; Štale et al, 2013). Only 8% of the EU and 6% of the Latvian population regularly perform moderate and very difficult physical activity (PA) (Eurobarometer, 2013). Therefore it is necessary to implement purposeful and effective health promoting and risk limiting events to develop the physical capital of one. The understanding of the impact of physical activity on one’s physical capital is not well explored in the previous studies (Hutson, 2012; Maguire, 2008; Goldenberg, 2003; Hedblom, 2009). Therefore, the aim of the study is to determine the relationship between PA and the objective indicators of physical capital for women in fitness. In the study voluntarily participated 33 women (30±4.1 years) from 2 fitness clubs in Riga. In order to determine the respondents’ objective indicators of physical capital were applied: bioimpedance method (TANITA SC330, Japan, 89/336/EC), heart rate variability analysis data processing software ‘Omega’, complex load test with expiratory gas analysis (VIASYS Healthcare GMBH, Germany) and Eirofit tests for adults. In order to determine the level of PA the IPAQ (Craig et al, 2003) short version in Latvian (Kaupuzs & Larins, 2010) was used. Descriptive and inferential statistics were made (SPSS ver.18.0). Several moderately close (0.5<|rs|<0.69; p<0.01) and close correlations (0.7<|rs|<0.99; p<0.01) are determined between the level of PA and indicators of body composition, physical work capacity, physical fitness and functional state of the body. The level of PA has a positive impact on the objective indicators of physical capital. The more physically active the respondent is, the better physical fitness, higher work capacity, better the indicators of his body composition are and better functional state.

Is Fitness Level in Childhood Associated with Physical Activity Level as an Adult?

2009 ◽  
Vol 21 (3) ◽  
pp. 329-338 ◽  
Author(s):  
François Trudeau ◽  
Louis Laurencelle ◽  
Roy J. Shephard
Keyword(s):  
Physical Activity ◽  
Physical Fitness ◽  
Physical Activity Level ◽  
Work Capacity ◽  
Activity Level ◽  
Perceived Barriers ◽  
Physical Work ◽  
Physical Work Capacity ◽  
Fitness Level ◽  
Barriers To Exercise

The purpose of this study was to examine the possible influence of childhood physical fitness on physical activity level and some of its psychosocial determinants as an adult. Childhood (age 10–12 years) data from the longitudinal Trois-Rivières Growth and Development Study (body mass index, Physical Work Capacity (PWC170)), number of sit-ups/min, left + right hands grip strength) were correlated with adult data (age 35.0 ± 0.3 years) for physical activity (PA) level, attitude toward PA, intention to exercise, perceived barriers to exercise and support of an active lifestyle by significant others. No significant relationships between childhood physical fitness and adulthood PA were found. Although the sample size is relatively small, our data suggest that the preadolescent physical fitness level has no measurable impact on adult habitual PA, attitudes toward PA, intentions to exercise, perceived barriers to exercise or support from the individual’s entourage.

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