scholarly journals Adult total wellness: group differences based on sitting time and physical activity level

2014 ◽  
Vol 14 (1) ◽  
Author(s):  
Faisal A Barwais ◽  
Thomas F Cuddihy ◽  
L Michaud Tomson
Keyword(s):  
Physical Activity ◽  
Physical Activity Level ◽  
Activity Level ◽  
Sitting Time ◽  
Group Differences

scholarly journals Criterion validity of two physical activity and one sedentary time questionnaire against accelerometry in a large cohort of adults and older adults

2020 ◽  
Vol 6 (1) ◽  
pp. e000661 ◽  
Author(s):  
Edvard H Sagelv ◽  
Laila A Hopstock ◽  
Jonas Johansson ◽  
Bjørge H Hansen ◽  
Soren Brage ◽  
...  
Keyword(s):  
Physical Activity ◽  
Physical Activity Level ◽  
Sedentary Time ◽  
Short Form ◽  
Vigorous Physical Activity ◽  
Activity Level ◽  
Sitting Time ◽  
Activity Levels ◽  
Metabolic Equivalents ◽  
Level Scale

ObjectivesWe compared the ability of physical activity and sitting time questionnaires (PAQ) for ranking individuals versus continuous volume calculations (physical activity level (PAL), metabolic equivalents of task (MET), sitting hours) against accelerometry measured physical activity as our criterion.MethodsParticipants in a cohort from the Tromsø Study completed three questionnaires; (1) The Saltin-Grimby Physical Activity Level Scale (SGPALS) (n=4040); (2) The Physical Activity Frequency, Intensity and Duration (PAFID) questionnaire (n=5902)) calculated as MET-hours·week-1 and (3) The International Physical Activity questionnaire (IPAQ) short-form sitting question (n=4896). We validated the questionnaires against the following accelerometry (Actigraph wGT3X-BT) estimates: vector magnitude counts per minute, steps∙day-1, time (minutes·day-1) in sedentary behaviour, light physical activity, moderate and vigorous physical activity (MVPA) non-bouted and ≥10 min bouted MVPA.ResultsRanking of physical activity according to the SGPALS and quartiles (Q) of MET-hours∙week-1 from the PAFID were both positively associated with accelerometry estimates of physical activity (p<0.001) but correlations with accelerometry estimates were weak (SGPALS (PAL): r=0.11 to 0.26, p<0.001) and weak-to-moderate (PAFID: r=0.39 to 0.44, p<0.01). There was 1 hour of accelerometry measured sedentary time from Q1 to Q4 in the IPAQ sitting question (p<0.001) and also weak correlations (r=0.22, p<0.01).ConclusionRanking of physical activity levels measured with PAQs appears to have higher validity than energy expenditure calculations. Self-reported sedentary time poorly reflects accelerometry measured sedentary time. These two PAQs can be used for ranking individuals into different physical activity categories supporting previous studies using these instruments when assessing associations with health outcomes.

scholarly journals Impact of Age and Physical Activity on Postprandial Metabolic Responses (OR22-07-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Nicholas Koemel ◽  
Christina Sciarillo ◽  
Patrick Tomko ◽  
Katherine Bode ◽  
Nathaniel Jenkins ◽  
...  
Keyword(s):  
Physical Activity ◽  
Physical Activity Level ◽  
Activity Level ◽  
Metabolic Responses ◽  
Group Differences ◽  
Blood Draw ◽  
Significant Group ◽  
Metabolic Outcomes ◽  
Postprandial Triglyceride ◽  
The Impact

Abstract Objectives Large metabolic responses to high-fat meals (HFM) are known to create a deleterious physiological state. However, there is limited research describing the differential influences of age and physical activity level on meal metabolism, specifically in healthy older individuals. The goal of this project is to quantify the impact of age and physical activity on metabolic outcomes immediately following meal consumption in healthy men and women. Methods We recruited 4 groups of individuals: younger active (YA; age 22.3 ± 1.5 y; n = 7), younger inactive (YI; age 22.6 ± 4.0 y; n = 7), older active (OA; age 70.5 ± 7.8 y; n = 6), and older inactive (OI; age 69.6 ± 7.6 y; n = 5). Following a 10-hour overnight fast, an intravenous catheter was inserted into a forearm vein from which a fasting blood draw was taken. Participants then consumed a HFM (12 kcal/kg; 63% fat, 34% carbohydrate). Serial blood draws were conducted hourly for 6 hours to measure postprandial triglyceride (TG) and glucose (GLU) responses. Prior to the HFM, participants refrained from exercise for 48 hours to remove the confounding effects of recent acute exercise. One-way or two-way ANOVA was used, as appropriate, to compare groups with regard to postprandial metabolic outcomes. Results Groups were similar with regard to fasting GLU (P = 0.77) and TG (P = 0.06). There was a time effect for both GLU and TG in the postprandial period (P < 0.0001). A group effect was present for TG (P = 0.048), but not GLU (P = 0.07). There were no significant group differences in TG in post hoc comparisons (YA vs. YI, P = 0.41; YA vs. OA, P > 0.99; YA vs. OI, P = 0.08; YI vs. OA, P = 0.42; YI vs. OI, P = 0.67; OA vs. OI, P = 0.08). Total area under the curve (AUC) for TG was significantly different across groups (P = 0.0498; YA = 618.8 ± 103.1 mg/dL x 6 hr, YI = 836.4 ± 402.6, OA = 609.0 ± 234.6, OI = 993.4 ± 80.9), but incremental AUC was not different (P = 0.18). Groups did not differ with regard to GLU total (P = 0.07) or incremental AUC (P = 0.26). Peak TG (P = 0.38) and GLU (P = 0.18) responses did not differ across groups. Conclusions In this ongoing experiment, we are observing group differences in postprandial TG based on age and physical activity level. When complete, this study will highlight the independent effects of aging and physical activity on postprandial metabolic responses, which are integral components in CVD risk. Funding Sources Oklahoma State University.

scholarly journals Prevalence of musculoskeletal symptoms in blue-collar workers: association with individual and lifestyle-related factors

2019 ◽  
Vol 3 (3) ◽  
pp. 1-10
Author(s):  
Isabel Moreira-Silva ◽  
Joana Azevedo ◽  
Sandra Rodrigues ◽  
Nuno Ventura ◽  
Aderito Seixas ◽  
...  
Keyword(s):  
Physical Activity ◽  
Physical Activity Level ◽  
Activity Level ◽  
Blue Collar ◽  
Sitting Time ◽  
Musculoskeletal Symptoms ◽  
Low Back ◽  
Related Factors ◽  
Blue Collar Workers ◽  
Body Regions

This study aimed to investigate the 12-month and 7-day prevalence of musculoskeletal symptoms in different body regions and its association with individual (age, gender and BMI) and lifestyle-related (physical activity level and sitting time) factors among blue-collar workers of a Portuguese manufacturing company. One hundred and thirty-six blue-collar workers participated in the study. Musculoskeletal symptoms were assessed with the Nordic Musculoskeletal Questionnaire, and physical activity level and sitting time were assessed with IPAQ-Short Version. The 12-month prevalence was higher in the low back (56.6%), followed by the wrist/hand (50%), the shoulder (45.6%) and the neck (44.9%). In the last 7 days, the four most affected body regions were: the low back region (25%), the shoulders (20.6%) and the neck and wrist/hands (19.9%). Regarding individual factors, significant associations were found between age and the prevalence of musculoskeletal symptoms in the shoulder (p=0.034), elbow (p=0.033), wrist/hand (p=0.030), thigh/hip (p=0.008), neck (p=0.010) and the low back region (p=0.045), with the older workers reporting higher prevalence of musculoskeletal symptoms. Also, women reported a significant higher prevalence of musculoskeletal symptoms in the neck than men (p=0.025). Overweight and obese workers had a significantly higher prevalence of symptoms in the shoulder (p=0.003), wrist/hands (p=0.030) and neck (p=0.033). Regarding lifestyle-related factors, no significant associations were found between physical activity level or sitting time (p>0.05) and the prevalence of musculoskeletal symptoms in any of the body regions. To conclude, blue-collar workers have a high prevalence of musculoskeletal symptoms. Individual factors like age, gender and BMI seem to influence the prevalence of musculoskeletal symptoms in different body regions, but lifestyle-related factors such as the physical activity level and sitting time seem not to be associated with the prevalence of musculoskeletal symptoms in studied sample. The results emphasize the need of workplace interventions to prevent musculoskeletal symptoms in this population.

scholarly journals Examination of the effect of the gender factor on university students’ physical activity level

2020 ◽  
Vol 19 (4) ◽  
pp. 625-631
Author(s):  
Yurdanur Dikmen ◽  
Funda Akduran ◽  
Nurgül Keser ◽  
Nursan Cinar
Keyword(s):  
Physical Activity ◽  
University Students ◽  
Physical Activity Level ◽  
Medical Science ◽  
Activity Level ◽  
Sitting Time ◽  
Male Students ◽  
Walking Activity ◽  
Significant Difference ◽  
Intense Activity

Objective: Scientific research provide information concerning an insufficient level of physical activity of young people. This study was conducted to determine the levels of physical activity among university students. Materials and Methods: In 2014-2015 academic year, 510 students voluntarily participated in this study. To obtain data, the Personal Information Form and to determine the levels of physical activity. International Physical Activity Questionnaire (IPAQ) were used. Results and Discussion: It is found that the 32.8% of students were not physically active, 49.2% of them had low physical activity level, 18% of students had adequate physical activity level to protect their health. Although it was found that the male students’ physical activity scores, moderately intense activity scores, intense activity scores and walking activity scores significantly higher than girls’ activity scores (p<0.05), there is no significant difference between sitting activity scores (p<0.05). Between students who have Body Mass Index over and under 25 kg/m2, there was no significant difference found between total physical activity, moderately intense activity, intense activity, walking activity and sitting time scores (p<0.05). Conclusion: It was determined that university students have low levels of physical activity and male students have higher physical activity levels than female students. Bangladesh Journal of Medical Science Vol.19(4) 2020 p.625-631

Self-Referent Thoughts in Exercise: The Self-Perception in Exercise Questionnaire

1997 ◽  
Vol 13 (3) ◽  
pp. 195-205 ◽  
Author(s):  
Marit Sorensen
Keyword(s):  
Physical Activity ◽  
Pilot Study ◽  
Physical Activity Level ◽  
Convergent Validity ◽  
English Language ◽  
Lifestyle Changes ◽  
Activity Level ◽  
Language Version ◽  
Social Comfort ◽  
And Gender

Adherence to lifestyle changes - beginning to exercise, for example - is assumed to be mediated by self-referent thoughts. This paper describes a pilot study and three studies conducted to develop and validate a questionnaire for adults to determine their self-perceptions related to health-oriented exercise. The pilot study identified items pertinent to the domains considered important in this context, and began the process of selecting items. Study 2 examined the factor structure, reduced the number of items, determined the internal consistency of the factors, and explored the discriminative validity of the questionnaire as to physical activity level and gender. Four factors with a total of 24 items were accepted, measuring mastery of exercise, body perception, social comfort/discomfort in the exercise setting, and perception of fitness. All subscales had acceptable internal consistencies. Preliminary validity was demonstrated by confirming hypothesized differences in scores as to gender, age, and physical activity level. The third study examined and demonstrated convergent validity with similar existing subscales. The fourth study examined an English-language version of the questionnaire, confirming the existence of the factors and providing preliminary psychometric evidence of the viability of the questionnaire.

Sign in / Sign up

Export Citation Format

Share Document