scholarly journals Dietary intake and different types of physical activity: full-day energy expenditure, occupational and leisure-time

2008 ◽  
Vol 11 (8) ◽  
pp. 841-848 ◽  
Author(s):  
Miguel Camões ◽  
Carla Lopes
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Dietary Intake ◽  
Leisure Time ◽  
Saturated Fat ◽  
Metabolic Energy ◽  
Occupational Activity ◽  
Significant Positive Association ◽  
Cross Sectional ◽  
Time Activity

AbstractObjectiveTo describe the relationship between dietary intake and different levels and types of physical activity (PA).DesignCross-sectional evaluation of the EPIPorto study. Energy expenditure (metabolic energy equivalent tasks) and dietary intake during the past year were assessed using a PA questionnaire and a semi-quantitative food-frequency questionnaire, respectively.SettingRepresentative sample of adults in Porto, Portugal.SubjectsData were analysed for 2404 Portuguese Caucasian adults, aged between 18 and 92 years.ResultsFor total PA, males who were active had significantly higher mean intake of energy (10·76 (2570·7) vs. 9·78 (2336·9) MJ/d (kcal/d), P < 0·001) and lower level of protein consumption (16·9 vs. 17·6 % of energy, P < 0·001) compared with sedentary males. In males, the association between total PA and energy intake remained after adjustment for age, education and body mass index. Similar results were observed when occupational activity was analysed. Concerning the energy expended in leisure time, in both genders, after adjustment for the previously described variables, a significant positive association was found between PA and intake of vitamin C (g/d): β = 0·12, 99 % confidence interval (CI) 0·02, 0·21 for females and β = 0·13, 99 % CI 0·03, 0·22 for males. Leisure-time activity in females was also positively associated with intakes of fibre, vitamin E, folate, calcium and magnesium, and negatively associated with saturated fat.ConclusionsHigher levels of PA in leisure time were associated with higher intakes of micronutrients and lower intakes of saturated fat, particularly in females. For total and occupational PA, similar nutrient intake was observed between active and sedentary individuals.

How Do Different Occupational Factors Influence Total, Occupational, and Leisure-Time Physical Activity?

2015 ◽  
Vol 12 (2) ◽  
pp. 200-207 ◽  
Author(s):  
Corneel Vandelanotte ◽  
Camille Short ◽  
Matthew Rockloff ◽  
Lee Di Millia ◽  
Kevin Ronan ◽  
...  
Keyword(s):  
Physical Activity ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Total Physical Activity ◽  
Activity Levels ◽  
Full Time ◽  
Cross Sectional ◽  
Time Activity ◽  
Physical Activity Levels ◽  
The Impact

Background:A better understanding of how occupational indicators influence physical activity levels will aid the design of workplace interventions.Methods:Cross-sectional data were collected from 1194 participants through a telephone interview in Queensland, Australia. The IPAQ-long was used to measure physical activity. Multiple logistic regression was applied to examine associations.Results:Of participants, 77.9% were employed full-time, 32.3% had professional jobs, 35.7% were engaged in shift work, 39.5% had physically-demanding jobs, and 66.1% had high physical activity levels. Participants with a physicallydemanding job were less likely to have low total (OR = 0.25, 95% CI = 0.17 to 0.38) and occupational (OR = 0.17, 95% CI = 0.12 to 0.25) physical activity. Technical and trade workers were less likely to report low total physical activity (OR = 0.44, 95% CI = 0.20 to 0.97) compared with white-collar workers. Part-time (OR = 1.74, 95% CI = 1.15 to 2.64) and shift workers (OR = 1.86, 95% CI = 1.21 to 2.88) were more likely to report low leisure-time activity.Conclusions:Overall, the impact of different occupational indicators on physical activity was not strong. As expected, the greatest proportion of total physical activity was derived from occupational physical activity. No evidence was found for compensation effects whereby physically-demanding occupations lead to less leisure-time physical activity or vice versa. This study demonstrates that workplaces are important settings to intervene, and that there is scope to increase leisure-time physical activity irrespective of occupational background.

scholarly journals Effects of peer influence on dietary intake and physical activity in schoolchildren

2009 ◽  
Vol 13 (3) ◽  
pp. 376-383 ◽  
Author(s):  
Tara Finnerty ◽  
Sue Reeves ◽  
Jaqueline Dabinett ◽  
Yvonne M Jeanes ◽  
Claus Vögele
Keyword(s):  
Physical Activity ◽  
Dietary Intake ◽  
Peer Influence ◽  
Age Groups ◽  
Saturated Fat ◽  
Self Report ◽  
Activity Levels ◽  
Anthropometric Measures ◽  
Cross Sectional ◽  
Physical Activity Levels

AbstractObjectiveTo investigate the dietary intake and physical activity of boys and girls aged 9–13 years, and the influence of peers on these behaviours.DesignCross-sectional study.SettingNine primary and secondary schools in south-west London.SubjectsA total of 315 children wore sealed pedometers, provided self-report measures of dietary intake and answered a questionnaire relating to peer influence. Anthropometric measures of height and weight were also obtained.ResultsObese children had the lowest reported energy intakes and the lowest step counts per day. Boys took significantly more steps per day than girls, however girls were closer to achieving their recommended cut-offs for physical activity. Girls had lower energy intakes per day and lower BMI Z-scores than boys, however both genders, across all age groups, had higher than recommended intakes of saturated fat. There were significant associations between peer influence and physical activity levels but not between peer influence and dietary intake.ConclusionsLow energy intake and physical activity levels but high saturated fat intakes among boys and girls across all age groups highlight the importance of promoting both physical activity and healthy food choices. The finding that peers have a significant effect on physical activity levels but not on dietary intake offers an important approach for the design of health promotion interventions and obesity prevention programmes. Such designs may be particularly beneficial for obese youth, since the low physical activity levels found could be a major contributing factor to the maintenance of the condition.

Estimating leisure-time physical activity energy expenditure in the Canadian population: a comparison of 2 methods

2009 ◽  
Vol 34 (4) ◽  
pp. 666-672 ◽  
Author(s):  
Shirley N. Bryan ◽  
Peter T. Katzmarzyk
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Canadian Community Health Survey ◽  
Physical Activity Energy Expenditure ◽  
Cross Sectional ◽  
Statistics Canada ◽  
The Impact ◽  
Activity Energy

The purpose of this study was to determine the impact of 2 different calculation methods for total leisure-time physical activity energy expenditure (LTPAEE) and LTPAEE from different intensity activities on the classification of level of physical activity in the population. Nationally representative cross-sectional data from the Canadian Community Health Survey Cycle 4.1 (2007) were used for this study (N = 64 397). LTPAEE was calculated using a metabolic equivalent (MET) value of 4.0 for all activities in the “other activity” category for method 1 (currently employed by Statistics Canada) and using activity-specific MET values for method 2. The weighted prevalence and 95% confidence intervals of active (≥3  kcal·kg–1·day–1 (kkd)), moderately active (1.5–2.9 kkd), and inactive (<1.5 kkd) were determined for each method by demographic characteristics. The agreement between the 2 methods was assessed overall, and for light, moderate, and vigorous activities. There was no difference between methods in the proportion classified as active, moderately active, or inactive for any of the subgroups studied and there was no difference in the distribution or mean LTPAEE between methods. However, assessment of the agreement showed a large number of outliers and a tendency to underestimate LTPAEE from light and vigorous activities while overestimating LTPAEE from moderate activities at the individual level. The results of this study should be considered when performing inferential statistics on the relationship between physical activity and health outcomes.

Abstract P417: Physical Activity, Physical Fitness and Leukocyte Telomere Length: The Cardiovascular Health Study

Circulation ◽  
2013 ◽  
Vol 127 (suppl_12) ◽  
Author(s):  
Luisa Soares-Miranda ◽  
Fumiaki Imamura ◽  
David S Siscovick ◽  
Nancy Swords Jenny ◽  
Annette L Fitzpatrick ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Telomere Length ◽  
Test Performance ◽  
Leisure Time ◽  
Walking Distance ◽  
Cross Sectional ◽  
Time Activity ◽  
Leisure Time Activity ◽  
Over Time

Background The influence of physical activity (PA) and fitness (PF) at older ages on changes in telomere length (TL), repetitive DNA sequences that may mark biologic aging, are not well established. Prior studies in older adults were cross-sectional, and few evaluated PF. Aim To investigate both cross-sectional and prospective associations of PA and PF with Leukocyte TL in older adults. Methods Among 582 adults age 73±5 y at baseline in CHS having serial LTL measures (leucocyte mean terminal restriction length) in 1992 and 1997, PA (walking pace, blocks, combined walking score; leisure time activity) and PF (15-ft walk, chair stands, grip strength) were assessed multiple times from 1989 to 1997. Cross-sectional associations were assessed using multivariable repeated-measures regression of cumulative average serial PA and PF measures from 1989 to 1992 against LTL in 1992; and cumulative averaged PA and PF from 1993 to 1997 against LTL in 1997. Longitudinal analyses assessed cumulative averaged PA and PF from 1989-92 against later changes in LTL from 1992-97; and changes in cumulative averaged PA and PF from 1989-92 to 1993-97 against changes in LTL from 1992-97. We evaluated all subjects, those without poor/fair self-reported health, and those without limited ADLs. Results Cross-sectionally, greater walking distance and chair test performance, but not other PA and PF measures, each associated with longer LTL ( P trend 0.007, 0.04 respectively). Lab measures of DNA integrity suggested measurable degradation that markedly attenuates ability to detect differences in LTL changes over time, especially over only 5 y. For example, baseline PA and PF from 1989-92 were unassociated with later changes in LTL. In contrast, changes in leisure time activity and chair test performance from 1992-97 were each inversely associated with LTL shortening. Conclusions Even late in life, certain PA and PF metrics are associated with longer LTL cross-sectionally and, even with likely substantial measurement error, with less LTL shortening over time.

scholarly journals Physical activity and common mental disorders

2010 ◽  
Vol 197 (5) ◽  
pp. 357-364 ◽  
Author(s):  
Samuel B. Harvey ◽  
Matthew Hotopf ◽  
Simon Øverland ◽  
Arnstein Mykletun
Keyword(s):  
Physical Activity ◽  
Mental Disorders ◽  
Social Engagement ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Common Mental Disorders ◽  
Depression Scale ◽  
Cross Sectional ◽  
Time Activity ◽  
Symptoms Of Depression

BackgroundPrevious studies have suggested that physical activity may have antidepressant and/or anti-anxiety effects.AimsTo examine the bidirectional relationship between physical activity and common mental disorders and establish the importance of context, type and intensity of activity undertaken.MethodA clinical examination of 40 401 residents of Norway was undertaken. Participants answered questions relating to the frequency and intensity of both leisure-time and workplace activity. Depression and anxiety were measured using the Hospital Anxiety and Depression Scale (HADS). Biological and social data were also collected.ResultsThere was an inverse relationship between the amount of leisure-time physical activity and case-level symptoms of depression. This cross-sectional association was only present with leisure-time (as opposed to workplace) activity and was not dependent on the intensity of activities undertaken. Higher levels of social support and social engagement were important in explaining the relationship between leisure activity and depression. Biological changes such as alterations to parasympathetic vagal tone (resting pulse) and changes to metabolic markers had a less important role.ConclusionsIndividuals who engage in regular leisure-time activity of any intensity are less likely to have symptoms of depression. The context and social benefits of exercise are important in explaining this relationship.

scholarly journals Cross-Cultural Variation in BMI, Sedentary Behavior, and Physical Activity in International School Girls Residing in Saudi Arabia

2020 ◽  
Vol 17 (6) ◽  
pp. 2057
Author(s):  
Adel A. Alhusaini ◽  
Ganeswara Rao Melam ◽  
Syamala Buragadda
Keyword(s):  
Physical Activity ◽  
Saudi Arabia ◽  
Sedentary Behavior ◽  
Screen Time ◽  
Cultural Difference ◽  
Leisure Time ◽  
Cross Cultural ◽  
Cultural Variation ◽  
Cross Sectional ◽  
Time Activity

Background: The current study was done to assess the cross-cultural difference in physical activity and sedentary behavior among girls from culturally, environmentally, and geographically diverse countries residing in Saudi Arabia. Methods: This was a comparative cross-sectional study conducted among expatriate girls (N = 275), aged 9–16 years. Participants were from India (n = 65), Pakistan (n = 88), Egypt (n = 50), Sudan (n = 49), and other nationals (n = 23). They were randomly selected from different schools in Riyadh and their Body Mass Index (BMI) and screen time was assessed. Physical activity (PA) and leisure-time activity was assessed using Physical Activity Questionnaire for Older Children (PAQ-C) and the Godin-Shephard Leisure-Time Exercise Questionnaire (GSLTPAQ) respectively. Results: Out of 275, 65.8% were active and 34.2% were insufficiently active as per the GSLTPAQ, and half of them were moderately active and only 22.2% were extremely active as per PAQ-C. No statistical significant differences in their BMI status, screen time, or the levels of PA among expatriate girls. Conclusions: This study shows that the expatriate female school children in Saudi Arabia demonstrated a similar pattern in their BMI, sedentary time spent, and PA levels.

scholarly journals Leisure-Time Physical Activity and Metabolic Syndrome in Older Adults

2019 ◽  
Vol 16 (18) ◽  
pp. 3358 ◽  
Author(s):  
Gallardo-Alfaro ◽  
Bibiloni ◽  
Mateos ◽  
Ugarriza ◽  
Tur
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Metabolic Syndrome ◽  
Energy Expenditure ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Vigorous Physical Activity ◽  
Cross Sectional Study ◽  
Moderate Physical Activity ◽  
Cross Sectional

Background: Metabolic syndrome (MetS) is a cluster of risk factors for cardiovascular disease, atherosclerosis and diabetes mellitus type 2 which may be reduced by practicing regular physical activity. Objective: To assess the leisure-time physical activity (LTPA) of older adults with MetS and without MetS. Methods: Cross-sectional study of older adults (55–80 years old) from Balearic Islands (Spain) with MetS (n = 333; 55% men) and without MetS (n = 144; 43.8% men). LTPA was assessed with the validated Spanish version of the Minnesota LTPA Questionnaire. Two criteria of physically active were used: >150 min/week of moderate physical activity or >75 min/week of vigorous physical activity or a combination of both, and total leisure-time energy expenditure of >300 MET·min/day. Sociodemographic and lifestyle characteristics, anthropometric variables, MetS components, and adherence to the Mediterranean diet (MD) were also measured. Results: MetS subjects showed lower energy expenditure in LTPA, lower adherence to the MD, higher obesity and waist circumference, and were less active than non-MetS peers. LTPA increased as participants got older and there was higher LTPA intensity as educational level increased. Adherence to MD was as high as LTPA was. Conclusions: MetS is associated with physical inactivity and unhealthy diet. To increase LTPA recommendations and raise awareness in the population about the health benefits of PA and high adherence to MD is highly recommended.

scholarly journals Metabolic Risk Factors, Leisure Time Physical Activity, and Nutrition in German Children and Adolescents

Cholesterol ◽  
2012 ◽  
Vol 2012 ◽  
pp. 1-3 ◽  
Author(s):  
Gerda-Maria Haas ◽  
Evelyn Liepold ◽  
Peter Schwandt
Keyword(s):  
Physical Activity ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
International Diabetes Federation ◽  
Saturated Fat ◽  
Cross Sectional Study ◽  
Central Adiposity ◽  
Cross Sectional ◽  
The Metabolic Syndrome ◽  
Low Hdl

Purpose. We assessed the five components of the metabolic syndrome (MetS) as defined by the International Diabetes Federation (IDF) in 6040 (3158 males) youths aged 6–16 years who participated in the Präventions-Erziehungs-Programm (PEP Family Heart Study) in Nuernberg between 2000 and 2007. The purpose of this cross-sectional study was to examine associations with lifestyle habits. Results and Discussion. The prevalence of MetS was low in children (1.6%) and adolescents (2.3%). High waist circumference (WC) and low HDL-C were slightly higher in females (9.5% and 7.5%, resp.) than in males (8.8% and 5.7%, resp.). Low leisure time physical activity (LTPA) was significantly associated with low HDL-C (odds ratio [OR] 2.4; 95% CI 1.2–5.0) and inversely associated with hypertension (), hypertriglyceridemia (), and central adiposity (). The risk for low HDL-C (≤1.3 mmol/L) was 1.7-fold (CI 1.0–2.6) higher in youth with high (≥33%) saturated fat consumption. A low polyunsaturated/saturated fat ratio (P/S ratio) was significantly associated with fasting hyperglycemia (OR 1.4; 95% CI 1.0–1.2).

scholarly journals Educational differentials in domain specific physical activity by ethnicity, age, and gender: findings from over 44,000 participants in The UK Household Longitudinal Study (2013-2015)

2019 ◽  
Author(s):  
Meg E Fluharty ◽  
Snehal M Pinto Perira ◽  
Michaela Benzeval ◽  
Mark Hamer ◽  
Barbara Jefferis ◽  
...  
Keyword(s):  
Physical Activity ◽  
Educational Attainment ◽  
Sex Education ◽  
Leisure Time ◽  
Active Travel ◽  
Occupational Activity ◽  
Activity Levels ◽  
Time Activity ◽  
Leisure Time Activity ◽  
The Uk

AbstractBackgroundThe prevalence of overall physical inactivity remains high, particularly amongst socioeconomically disadvantaged groups. It is unclear however if such inequalities vary systematically by age, sex, or ethnicity, and if there are differing effects across physical activity (PA) domains.MethodsWe used data from a nationally representative survey of the UK, Understanding Society, with information on educational attainment (our indicator of socioeconomic position), PA and demographics collected in 2013-2015 (N= 44,903). Logistic regression analyses were conducted to test associations of education with three different PA domains (active travel, occupational and leisure time). To examine modification of the associations between education and physical activity in each domain by sex, age and ethnicity, we tested two-way interaction terms (education x ethnicity; education x sex; education x age).ResultsLower educational attainment was associated with higher active transportation and occupational physical activity, but lower weekly leisure-time activity. These associations were modified by sex, ethnicity, and age. For example, education-related differences in active travel were larger for females (difference in predicted probability of activity between highest and lowest educational groups: −10% in females, (95% CI: −11.9, 7.9) −3% in males (−4.8, −0.4). The education-related differences in occupational activity were larger among males −35% (−36.9, −32.4) than females −17% (−19.4, −15.0). Finally, education related differences in moderate to vigorous leisure time activity varied most substantially by ethnicity; for example, differences were 17% (16.2, 18.7) for White individuals compared with 6% (0.6, 11.6) for Black individuals.ConclusionsEducational differences in PA vary by domain, and are modified by age, sex, and ethnicity. A better understanding of physically inactive sub-groups may aid development of tailored interventions to increase activity levels and reduce health inequalities.

Sign in / Sign up

Export Citation Format

Share Document