scholarly journals Study protocol of a population-based cohort investigating Physical Activity, Sedentarism, lifestyles and Obesity in Spanish youth: the PASOS study

BMJ Open ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. e036210
Author(s):  
Santiago Felipe Gómez ◽  
Clara Homs ◽  
Julia Wärnberg ◽  
Maria Medrano ◽  
Marcela Gonzalez-Gross ◽  
...  

IntroductionPhysical activity (PA) is essential to healthy mental and physical development in early life. However, the prevalence of physical inactivity, which is considered a key modifiable driver of childhood obesity, has reached alarming levels among European youth. There is a need to update the data for Spain, in order to establish if current measures are effective or new approaches are needed.Methods and analysisWe present the protocol for Physical Activity, Sedentarism, lifestyles and Obesity in Spanish youth (PASOS). This observational, nationally representative, multicentre study aims to determine the PA levels, sedentary behaviours and prevalence of physical inactivity (defined as <60 min of moderate to vigorous PA per day) in a representative sample of Spanish children and adolescents. The PASOS study has recruited a representative random sample of children and adolescents aged 8–16 years from 242 educational centres in the 17 ‘autonomous regions’ into which Spain is divided. The aim is to include a total of 4508 youth participants and their families. Weight, height and waist circumference will be measured by standardised procedures. Adherence to the Mediterranean diet, quality of life, sleep duration, PA and sedentary behaviour are being measured by validated questionnaires. PA is measured by the Physical Activity Unit 7-item Screener. A representative subsample (10% of participants) was randomly selected to wear accelerometers for 9 days to obtain objective data on PA. Parents are asked about their educational level, time spent doing PA, diet quality, self-perceived stress, smoking habit, weight, height, their child’s birth weight and if the child was breast fed.Ethics and disseminationThe study was approved by the Ethics Committee of the Fundació Sant Joan de Déu, Barcelona, Spain. Main findings of the study will be disseminated to the scientific community and to general public by media conferences, social media and a website.Trial registration numberISRCTN34251612.

Author(s):  
Jostein Steene-Johannessen ◽  
Sigmund Alfred Anderssen ◽  
Elin Kolle ◽  
Bjørge Herman Hansen ◽  
Mari Bratteteig ◽  
...  

Abstract Background There is a scarcity of device measured data on temporal changes in physical activity (PA) in large population-based samples. The purpose of this study is to describe gender and age-group specific temporal trends in device measured PA between 2005, 2011 and 2018 by comparing three nationally representative samples of children and adolescents. Methods Norwegian children and adolescents (6, 9 and 15-year-olds) were invited to participate in 2005 (only 9- and 15-year-olds), 2011 and 2018 through cluster sampling (schools primary sampling units). A combined sample of 9500 individuals participated. Physical activity was assessed by hip worn accelerometers, with PA indices including overall PA (counts per minute), moderate-to-vigorous intensity PA (MVPA), and PA guideline adherence (achieving on average ≥ 60 min/day of moderate-to-vigorous PA). Random-effects linear regressions and logistic regressions adjusted for school-level clusters were used to analyse temporal trends. Findings In total, 8186 of the participating children and adolescents provided valid PA data. Proportions of sufficiently active 6-year-olds were almost identical in 2011 and 2018; boys 95% (95% CI: 92, 97) and 94% (95%CI: 92, 96) and girls 86% (95% CI: 83, 90) and 86% (95% CI: 82, 90). Proportions of sufficiently active 15-year-olds in 2005 and 2018 were 52% (95% CI: 46, 59) and 55% (95% CI: 48, 62) in boys, and 48% (95% CI: 42, 55) and 44% (95% CI: 37, 51) in girls, respectively, resulting from small differences in min/day of MVPA. Among 9-year-old boys and girls, proportions of sufficiently active declined between 2005 and 2018, from 90% (95% CI: 87, 93) to 84% (95% CI: 80, 87)) and 74% (95% CI: 69, 79) to 68% (95% CI: 64, 72), respectively. This resulted from 9.7 min/day less MVPA in boys (95% CI: − 14.8, − 4.7; p < 0.001) and 3.2 min/day less MVPA (95% CI: − 7.0, 0.7; p = 0.106) in girls. Conclusions PA levels have been fairly stable between 2005, 2011 and 2018 in Norwegian youth. However, the declining PA level among 9-year-old boys and the low proportion of 15-year-olds sufficiently active is concerning. To evaluate the effect of, and plan for new, PA promoting strategies, it is important to ensure more frequent, systematic, device-based monitoring of population-levels of PA.


2017 ◽  
Vol 75 (1) ◽  
Author(s):  
Sanhapan Thanamee ◽  
Kanokporn Pinyopornpanish ◽  
Apichai Wattanapisit ◽  
Suparerk Suerungruang ◽  
Kanittha Thaikla ◽  
...  

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 1031-1032
Author(s):  
Yeon Jin Choi

Abstract Maintaining healthy lifestyle, including healthy diet and physical activity, in adverse neighborhood environments may be more difficult for older adults because of changes linked to aging, which make them more vulnerable to their environments. This study aims to investigate the association of neighborhood disorder with diet quality and physical activity in a national sample of older Americans. For this study, we used data from the Health and Retirement Study. Neighborhood disorders include vandalism, boarded houses, abandoned cars, demolished houses, trash, litter, or junk, poorly kept communal areas, homeless people, prostitution, winos or junkies, and drug use or drug dealing near residents’ housing unit (range: 0-11). Diet quality and physical activity were assessed using the Healthy Eating Index 2015 (HEI-2015; range:0-100) and the metabolic (MET) equivalent activity points (range: 0-31 in this sample). Ordinary least squares regression models were estimated to examine an association between neighborhood disorder, diet quality, and physical activity. Neighborhood disorder was associated with poor diet and physical inactivity. For one additional negative neighborhood feature, HEI-2015 scores and MET-equivalent activity points decreased by 0.55 (95% CI: -1.09. -0.01) and 0.69 (95% CI: -1.05, -0.33). Findings of this study suggest that older adults living in adverse neighborhoods are at a greater risk of poor diet and physical inactivity, which are important risk factors for poor health and chronic diseases. Promoting neighborhood environments and perceived neighborhood safety would increase access to health food, encourage healthy diet and physical activity, and support healthy aging.


2021 ◽  
Author(s):  
Hannes Baumann ◽  
Janis Fiedler ◽  
Kathrin Wunsch ◽  
Bettina Wollesen ◽  
Alexander Woll

BACKGROUND Children and adolescents increasingly do not meet physical activity (PA) recommendations. Hence, insufficient physical activity (IPA) and sedentary behavior (SB) among children and adolescents are relevant behavior change domains for using individualized mobile health (mHealth) interventions. OBJECTIVE The current review and meta-analysis investigates the effectiveness of mHealth interventions on IPA and SB with a special focus on age level of individualization. METHODS PubMed, Scopus, Web of Science, SPORTDiscus, and Cochrane Library were searched for randomized controlled trials published between January 2000 and March 2021. mHealth interventions for primary prevention in children and adolescents addressing behavior change regarding insufficient PA and SB were included. Included studies were compared for content characteristics as well as methodological quality and summarized narratively. In addition, a meta-analysis with a subsequent exploratory meta-regression examining the moderating effects of age and individualization on overall effectiveness was performed. RESULTS Based on inclusion criteria, 11 of the preliminary 825 identified studies were included for qualitative synthesis and 10 were included for the meta-analysis. Trials included a total of 1515 participants (Age (M, SD) = 11.69 ± 0.788; 65% male; 35% female) with self-reported (n = 4) or device-based measured (n = 7) health data on the duration of SB and physical inactivity (PIA) for an average of 9.3±5.6 weeks. Studies with high levels of individualization decreased insufficient PA levels significantly (d = 0.33; CI = 0.08, 0.58; z = 2.55; p = 0.01), whereas those with low levels of individualization (d = -0.06; CI = -0.32, 0.20; Z = 0.48; p = 0.63), or targeting SB (d = -0.11; CI = -0.01, 0.23; z = 1.73; p = 0.08) indicated no overall significant effect. Heterogeneity of the studies was moderate to low, and significant subgroup differences between trials with high and low levels of individualization (χ2 = 4.04; df = 1; p = 0.04; I² = 75,2%) were found. Age as a moderator variable showed a small effect, but the results were not significant which might have been due to being underpowered. CONCLUSIONS Evidence suggests that mHealth interventions for children and adolescents can foster moderate reductions in PIA but not SB. Moreover, individualized mHealth interventions to reduce PIA seem more effective for adolescents than for children. Although to date only few mHealth studies address inactive and sedentary young people and their quality of evidence is moderate, these findings indicate the relevance of individualization on the one hand and the difficulties in reducing SB using mHealth interventions on the other hand. CLINICALTRIAL PROSPERO International Prospective Register of Systematic Reviews CRD42020209417; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=209417


2013 ◽  
Vol 17 (10) ◽  
pp. 2253-2262 ◽  
Author(s):  
Houda Ben Gharbia ◽  
Agnès Gartner ◽  
Pierre Traissac ◽  
Francis Delpeuch ◽  
Bernard Maire ◽  
...  

AbstractObjectiveTo develop a child- and adolescent-appropriate physical activity frequency questionnaire (PAFQ) in Tunisia, North Africa.DesignA PAFQ was developed from a physical activity (PA) inventory that comprised major activity components (at home, preparing meals, school time, transport, non-sport leisure, sports, prayer and sleeping time). Then, type and duration of each activity undertaken during the past week were estimated. Total energy expenditure (TEE) estimated by the PAFQ was compared with data derived from two criterion methods: heart-rate monitoring (HRM) and a 24 h PA recall (24h-R), both collected during a 3 d period including one weekday and two weekend days.SettingTwo elementary schools and two high schools of the most developed and urbanized area, Greater Tunis.SubjectsOne hundred and forty-two volunteer children and adolescents aged 10–19 years.ResultsThe PAFQ strongly was correlated with both HRM (r = 0·70; 95 % CI 0·62, 0·76) and 24h-R (r = 0·81; 95 % CI 0·77, 0·84). It featured acceptable agreement with both criterion measures, slightly underestimating TEE compared with 24h-R (−2·8 %, mean of individual differences −272·7 kJ/d; 95 % CI −490·6, −57·4 kJ/d) and moderately overestimating it compared with HRM (+11·3 %, mean of individual differences +1106·2 kJ/d; 95 % CI 845·8, 1366·6 kJ/d). Reliability ranged from moderate to good (weighted kappa coefficients from 0·47 to 0·78 and intra-class correlation coefficients between 0·79 and 0·86 for energy expenditure by PA categories), indicating strong agreement between the two assessments.ConclusionsThis PAFQ could be useful in the description and surveillance of PA patterns or for the evaluation of population-based interventions directed at promoting PA in Tunisian children and adolescents.


2012 ◽  
Vol 51 (2) ◽  
pp. 122-129 ◽  
Author(s):  
Arlene E. Chung ◽  
Asheley Cockrell Skinner ◽  
Michael J. Steiner ◽  
Eliana M. Perrin

BMJ Open ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. e037659
Author(s):  
Nienke ter Hoeve ◽  
Maria Ekblom ◽  
Maria R Galanti ◽  
Yvonne Forsell ◽  
Carla F J Nooijen

BackgroundDuring transition to retirement there is often a rearrangement of daily life which might provide a key opportunity for interventions to promote a non-sedentary and active lifestyle. To be able to design effective interventions, it is essential to know which sedentary and physical behaviour domains (eg, at home or during leisure time) have potential to facilitate healthy ageing during the retirement transition.ObjectiveTo determine whether unfavourable sedentary and physical activity behaviour before retirement predict unfavourable sedentary and physical activity behaviour after retirement.DesignPopulation-based cohort.Setting and participantsAdults (n=3272) employed in 2010 but retired in 2014.MethodsSelf-reported preretirement job activity, sedentary leisure time, physical activity at home, and walking-cycling and exercise were assessed as predictors for unfavourable sedentary and physical activity behaviours after retirement using logistic regression. Unfavourable behaviours were defined based on the respective median of the cohort distribution. Furthermore, the OR for having multiple unfavourable behaviours after retirement was determined, based on the amount of unfavourable behaviours before retirement. All models were adjusted for gender and education.ResultsUnfavourable preretirement physical activity and sedentary behaviour at home or during leisure time were the strongest predictors of the same behaviours after retirement. Unfavourable job activity did not predict physical activity but did predict unfavourable sedentary behaviour after retirement (OR=1.66, 95% CI 1.41 to 1.96). Unfavourable exercise behaviour before retirement predicted unfavourable sedentary and physical activity after retirement in all domains. With all behaviours being unfavourable before retirement, the OR of having at least three unfavourable behaviours after retirement was 36.7 (95% CI 16.8 to 80.5).ConclusionsAdults with a higher number of unfavourable preretirement physical activity and sedentary behaviours are likely to carry these unfavourable behaviours into retirement age. Interventions should target those with more unfavourable preretirement physical activity and sedentary behaviours before retirement, and those interventions focusing on exercise might have greatest potential.


2020 ◽  
Vol 30 (9) ◽  
pp. 404-411 ◽  
Author(s):  
Takafumi Abe ◽  
Jun Kitayuguchi ◽  
Shinpei Okada ◽  
Kenta Okuyama ◽  
Tatsunosuke Gomi ◽  
...  

2017 ◽  
Vol 28 (1) ◽  
pp. 161-171 ◽  
Author(s):  
K. E. Dalene ◽  
S. A. Anderssen ◽  
L. B. Andersen ◽  
J. Steene-Johannessen ◽  
U. Ekelund ◽  
...  

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