scholarly journals Health promotion for workers focusing on physical activity and sedentary behavior: Epidemiological studies in occupational health at the Physical Fitness Research Institute

2020 ◽  
Vol 69 (6) ◽  
pp. 429-436
Author(s):  
Yuko Kai ◽  
Naruki Kitano ◽  
Takashi Jindo ◽  
Kenji Tsunoda ◽  
Toshiya Nagamatsu ◽  
...  
Keyword(s):  
Physical Activity ◽  
Health Promotion ◽  
Occupational Health ◽  
Physical Fitness ◽  
Sedentary Behavior ◽  
Epidemiological Studies ◽  
Research Institute

A Novel Physical Activity and Sedentary Behavior Classification and Its Relationship With Physical Fitness in Spanish Older Adults: The PHYSMED Study

2017 ◽  
Vol 14 (10) ◽  
pp. 815-822 ◽  
Author(s):  
Raquel Aparicio-Ugarriza ◽  
Raquel Pedrero-Chamizo ◽  
María del Mar Bibiloni ◽  
Gonzalo Palacios ◽  
Antoni Sureda ◽  
...  
Keyword(s):  
Physical Activity ◽  
Physical Fitness ◽  
Sedentary Behavior ◽  
Working At Home ◽  
Health Authorities ◽  
Body Strength ◽  
Public Health Authorities ◽  
Lower Body Strength ◽  
Objectively Measured ◽  
No Gold Standard

Background:As there is no gold-standard methodology to classify older people in relation to physical activity (PA) and sedentary behavior (SB), this paper aimed to propose a classification combining PA and SB.Methods:Within a broader study, 433 subjects, aged 55 years and older (57% females) from Madrid and Majorca, were evaluated for PA and SB by means of validated questionnaires. Physical fitness was analyzed objectively using the EXERNET test battery. Cluster analyses were used to establish behavioral patterns, combining PA and SB.Results:Males spent more time doing regular PA but less time walking and working at home than females (P < .001). Comparing the groups (inactive and high sedentary, inactive and low sedentary, active and high sedentary, and active and low sedentary), the worst aerobic endurance (P < .001) and lower body strength (P < .05) were obtained in males from both inactive groups. Agility was highest in the active and low sedentary group (P < .05). No significant differences were observed in females.Conclusions:The proposed classification is valid, as it classifies subjects according to their PA and SB, and outcomes are related to objectively measured fitness. It could facilitate the work of public health authorities, researchers, and physicians.

scholarly journals Workers’ physical activity data contribute to estimating maximal oxygen consumption: a questionnaire study to concurrently assess workers’ sedentary behavior and cardiorespiratory fitness

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Tomoaki Matsuo ◽  
Rina So ◽  
Masaya Takahashi
Keyword(s):  
Physical Activity ◽  
Oxygen Consumption ◽  
Occupational Health ◽  
Sedentary Behavior ◽  
Cardiorespiratory Fitness ◽  
Prediction Models ◽  
Intraclass Correlation ◽  
Maximal Oxygen Consumption ◽  
Sitting Time ◽  
Epidemiological Surveys

Abstract Background Sedentary behavior (SB) and cardiorespiratory fitness (CRF) are important issues in occupational health. Developing a questionnaire to concurrently assess workers’ SB and CRF could fundamentally improve epidemiological research. The Worker’s Living Activity-time Questionnaire (WLAQ) was developed previously to assess workers’ sitting time. WLAQ can be modified to evaluate workers’ CRF if additional physical activity (PA) data such as PA frequency, duration, and intensity are collected. Methods A total of 198 working adults (93 women and 105 men; age, 30–60 years) completed anthropometric measurements, a treadmill exercise test for measuring maximal oxygen consumption (VO2max), and modified WLAQ (m-WLAQ, which included questions about PA data additional to the original questions). Multiple regression analyses were performed to develop prediction equations for VO2max. The generated models were cross-validated using the predicted residual error sum of squares method. Among the participants, the data of 97 participants who completed m-WLAQ twice after a 1-week interval were used to calculate intraclass correlation coefficient (ICC) for the test–retest reliability analyses. Results Age (r = − 0.29), sex (r = 0.48), body mass index (BMI, r = − 0.20), total sitting time (r = − 0.15), and PA score (total points for PA data, r = 0.47) were significantly correlated with VO2max. The models that included age, sex, and BMI accounted for 43% of the variance in measured VO2max [standard error of the estimate (SEE) = 5.04 ml·kg− 1·min− 1]. These percentages increased to 59% when the PA score was included in the models (SEE = 4.29 ml·kg− 1·min− 1). Cross-validation analyses demonstrated good stability of the VO2max prediction models, while systematic underestimation and overestimation of VO2max were observed in individuals with high and low fitness, respectively. The ICC of the PA score was 0.87 (0.82–0.91), indicating excellent reliability. Conclusions The PA score obtained using m-WLAQ, rather than sitting time, correlated well with measured VO2max. The equation model that included the PA score as well as age, sex, and BMI had a favorable validity for estimating VO2max. Thus, m-WLAQ can be a useful questionnaire to concurrently assess workers’ SB and CRF, which makes it a reasonable resource for future epidemiological surveys on occupational health.

Assessment of Dietary, Physical Activity and Sedentary Behaviours of Singapore Schooling Youths

2020 ◽  
Vol 8 (3) ◽  
pp. 715-726
Author(s):  
Claudine Loong ◽  
Mia Eng Tay ◽  
Wai Mun Loke
Keyword(s):  
Physical Activity ◽  
Health Promotion ◽  
Alcohol Use ◽  
Sedentary Behavior ◽  
Healthy Eating ◽  
Saturated Fat ◽  
Dietary Intakes ◽  
Sedentary Behaviors ◽  
Unhealthy Lifestyle ◽  
Daily Energy

Unhealthy lifestyle behaviors may set youths on the path to developing non-communicable diseases. Singapore schooling youths (n = 235, 67.2% female, age 17.5 (mean) ± 1.0 (SD) years) were recruited to examine the dietary, alcohol use, physical activity, and sedentary behaviors of the Singapore schooling youths. Demographic, anthropometric, and sedentary hours information were collected using structured questionnaires. Physical activity levels and dietary intakes, including alcohol use, were assessed using the validated International Physical Activity Questionnaire - long-form and localized food frequency questionnaire, respectively. The surveyed youths consumed significantly larger daily amounts of energy, sugar, saturated fat, and sodium than the levels recommended by the Singapore Health Promotion Board. They did not achieve the daily amounts of dietary fiber, fruits, and vegetables, and derived unhealthy proportions of daily energy from sugar and saturated fat. They did not exceed the recommended maximum daily alcohol allowance. Close to all the youths (91.2%) failed to adhere to more than five of the nine recommended healthy eating habits. Majority of these youths (73.4%) partook less than 600 MET-minute/ week. A significant number of the youths (38.1%) spent more than eight sedentary hours daily. Physical activity correlated significantly with sedentary behavior levels, but not the dietary scores. Most surveyed youths engaged in low physical activity and high sedentary behavior, and did not comply with most of the healthy eating guidelines proposed by the Singapore Health Promotion Board, specifically on daily energy, sugar, dietary fibers, saturated fat, sodium, and fruit and vegetable intakes.

scholarly journals Development of a model for physical fitness and its correlates in children and adolescents from the canton de Vaud: the PACE model

2019 ◽  
Vol 67 (4) ◽  
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
Health Promotion ◽  
Young People ◽  
General Population ◽  
Physical Fitness ◽  
Children And Adolescents ◽  
Natural Environment ◽  
Olympic Games ◽  
Legal Context

The Lausanne Youth Olympic Games in January 2020 rep­resent a unique opportunity for the canton of Vaud to ­strengthen its policy of health promotion through physical activity and sport among young people. Several factors influence physical activity and physical fitness of a population. Ecological models describe correlates of physical activity in general population and youth. However, no model describes correlates of physical fitness. To close this gap, the model of physical fitness and its correlates among children and adolescents of the canton of Vaud (PACE model) was developed. The model is organized in the following levels: global (guidelines, policy and legal context), environmental (social, built and natural environment), interpersonal (family and relatives social support) and individual (biological, socio­demographic, psychological and behavioral aspects). Perspectives on the application of the PACE model are also ­presented. La forme masculine est utilisée dans cet article par souci de concision. Elle doit être comprise comme englobant l’ensemble des réalités liées au genre.

scholarly journals Comparison of Older and Newer Generation Active Style Pro Accelerometers in Physical Activity and Sedentary Behavior Surveillance under a Free-Living Environment

2019 ◽  
Vol 16 (9) ◽  
pp. 1597 ◽  
Author(s):  
Shohei Yano ◽  
Mohammad Javad Koohsari ◽  
Ai Shibata ◽  
Kaori Ishii ◽  
Levi Frehlich ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Correlation Coefficients ◽  
Epidemiological Studies ◽  
Living Environment ◽  
Activity Time ◽  
Free Living ◽  
Intra Class Correlation ◽  
Japanese Workers ◽  
The Difference

Background. Comparability of accelerometers in epidemiological studies is important for public health researchers. This study aimed to compare physical activity (light, LPA; moderate, MPA; and moderate-to-vigorous, MVPA) and sedentary behavior (SB) data collected using two Omron triaxial accelerometer generations (Active style Pro, ASP) among a sample of Japanese workers in a free-living environment. Methods. Thirty active and sedentary workers (24–62 years) wore two types of ASP accelerometers, the HJA-350IT (350IT) and the HJA-750C (750C), simultaneously for seven consecutive days to represent a typical week. The accelerometers estimated daily average step counts and time spent per day in LPA, MPA, and MVPA. If a participant had data for ≥4 days (>10 h/day) it was considered valid. The difference and agreement between the two ASPs were analyzed using a paired t-test, intra-class correlation coefficients (ICC), and a Bland–Altman analysis in total and for each type of worker. Results. Among all workers, the 750C measured significantly (p < 0.05) less SB, MPA, MVPA, and more LPA compared with the 350IT. The agreements in ICC were high (ICC ≥ 0.94). Conclusions. Compared with the 350IT, the newer generation 750C ASP accelerometer may not provide equivalent estimates of activity time, regardless of the type of physical activity.

Relations Between Sedentary Behavior and FITNESSGRAM Healthy Fitness Zone Achievement and Physical Activity

2014 ◽  
Vol 11 (5) ◽  
pp. 1006-1011 ◽  
Author(s):  
Jacob S. Tucker ◽  
Scott Martin ◽  
Allen W. Jackson ◽  
James R. Morrow ◽  
Christy A. Greenleaf ◽  
...  
Keyword(s):  
Physical Activity ◽  
Middle School ◽  
Physical Fitness ◽  
Sedentary Behavior ◽  
Self Report ◽  
Sedentary Behaviors ◽  
Middle School Children ◽  
Physical Activity Guidelines ◽  
Health Related ◽  
National Physical Activity

Purpose:To investigate the relations between sedentary behaviors and health-related physical fitness and physical activity in middle school boys and girls.Methods:Students (n = 1515) in grades 6–8 completed the Youth Risk Behavior Survey sedentary behavior questions, the FITNESSGRAM physical fitness items, and FITNESSGRAM physical activity self-report questions.Results:When students reported ≤ 2 hours per day of sedentary behaviors, their odds of achieving the FITNESSGRAM Healthy Fitness Zone for aerobic capacity, muscular strength and endurance, flexibility, and body composition increased. Similarly, the odds of achieving physical activity guidelines for children increased when students reported ≤ 2 hours per day of sedentary behaviors.Conclusions:Results illustrate the importance of keeping sedentary behaviors to ≤ 2 hours per day in middle school children, thus increasing the odds that the student will achieve sufficient health-related fitness benefits and be more likely to achieve the national physical activity guidelines.

scholarly journals Are There Any Differences between First Grade Boys and Girls in Physical Fitness, Physical Activity, BMI, and Sedentary Behavior? Results of HCSC Study

2020 ◽  
Vol 17 (3) ◽  
pp. 1109 ◽  
Author(s):  
Paweł Lisowski ◽  
Adam Kantanista ◽  
Michał Bronikowski
Keyword(s):  
Physical Activity ◽  
Gender Differences ◽  
Physical Fitness ◽  
Sedentary Behavior ◽  
Physical Activity Level ◽  
First Grade ◽  
Physical Activities ◽  
Activity Level ◽  
Fitness Level ◽  
The Past

The transition from kindergarten to school is associated with a variety of negative changes. After entry to elementary school physical activity level decreases. Moreover, physical fitness level of children over the past decades have rapidly declined. Children are spending an increasing amount of time in the environments that require constant sitting. We evaluated the differences between boys and girls in physical fitness, frequency of undertaking of different forms of physical activity, prevalence of underweight and overweight, and time spent on sedentary behavior. A total of 212 first grade pupils (mean age 6.95 ± 0.43) from two standard urban schools in Poznań participated in the study. Compared to girls, boys obtained better results in 20-meter run (4.9 s and 5.0 s, p < 0.01), sit-ups (16.8 and 15.3, p < 0.05), six-minute run (829.7 m and 766.4 m, p < 0.001), and standing broad jump (106.8 cm and 99.7 cm, p < 0.01). In the sit-and-reach test girls achieved higher results than boys (17.0 cm and 14.4 cm, p < 0.001). There were no gender differences in prevalence of underweight and overweight. In conclusions, difference between genders should be taken into consideration during designing physical activity programs in the aspects of intensity and forms of physical activities.

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