Longitudinal Analysis of Adolescent Girls’ Participation in Physical Activity

1985 ◽  
Vol 2 (2) ◽  
pp. 130-143 ◽  
Author(s):  
Janice Butcher

Adolescent girls were resurveyed each year from grade 6 to grade 10 to determine the change in physical activity participation as they matured and the variables most related to continued participation in physical activity in grade 10. Primary participation declined over the 5 years while secondary sport involvement increased. The five types of variables most related to participation in grade 10 were (a) significant others’ participation and encouragement (socializing agents), (b) movement satisfaction, especially satisfaction with sport ability (personal attribute), (c) independent, assertive self-descriptions (personal attribute), (d) sports equipment available (socialization situation), and (e) preference for active rather than sedentary activities (personal attribute). For interschool teams, the first two personal attributes were most influential. For community organized activities, the socializing agents and socialization situation variables were most important, and for both average hours per day and total activities participated in, sports equipment available was most highly correlated.

2019 ◽  
Vol 25 (2) ◽  
pp. 116-120
Author(s):  
Luiz Antonio dos Anjos ◽  
Bruna de Andrade Messias da Silva ◽  
Vivian Wahrlich

ABSTRACT Objective: To assess the physical activity level (PAL) and the total daily energy expenditure (EE-TDEE) in a sample of ≥60y subjects from Niterói, Rio de Janeiro, Brazil. Methods: A convenience sample of 88 subjects recruited from recreational physical activity programs wore an accelerometer around the waist for seven consecutive days for at least 10h/day. Minute-by-minute EE was estimated from the counts per minute (CPM) data, and the daily sum yielded the TDEE. PAL (TDEE/BMR) with BMR calculated with the FAO/WHO predictive equation and a population-specific equation. Body composition was assessed by DXA. Results: Mean age (SD) was 69.2 (5.8) years, the prevalence of overweight and obesity was 36.4 and 25.0%, respectively, and excess body fat was 39.8%. The subjects spent 600min/day engaged in sedentary activities (CPM<100). Men engaged in 30min of moderate-to-vigorous physical activity (CPM≥1,952) daily, on average. The subjects were active on 34.5 and 18.0% of the weekdays and weekend days with a 1,400 steps/day difference between these days. TDEE was 1,731.5 (348.7) and 1,356.3 (223.7) kcal/day depending on the BMR prediction equation used. Mean PAL was lower than the maintenance level. Conclusions: The high prevalence of sedentary activities and the low percentage of subjects who met the physical activity recommendations indicate that physical activity programs must be adjusted so that the enrolled subjects can meet the physical activity recommendations, preferably with the activities objectively monitored. Population-specific equations improve the final estimation of TDEE and PAL. Level of Evidence I; Diagnostic studies - Investigating a diagnostic test.


2019 ◽  
Vol 27 (3) ◽  
pp. 34-43
Author(s):  
Méabh Corr ◽  
Elaine Murtagh

Background: Globally, the poor activity level of adolescent girls is a public health concern. Little research has involved adolescents in the design of interventions. This study assessed the feasibility of involving girls in the co-creation of an activity programme. Methods: Thirty-one students (15–17 years old) were recruited from a post-primary school. The Behaviour Change Wheel guided intervention design, providing insights into participants’ capability, opportunity and motivation for change. Step counts and self-reported physical activity levels were recorded pre- and post-intervention. Feasibility benchmarks assessed recruitment, data collection, acceptability and adherence. Results: Activity and educational sessions were delivered for six weeks during physical education class. Average attendance was 87% (benchmark = 80%). Eligibility was 61% (benchmark = 60%). There was a 100% retention rate (benchmark = 90%). All participants ( n = 31) completed baseline measures and 71% ( n = 22) completed post-measures. 54% ( n = 17) of students completed pedometer measurements, with 32% ( n = 10) having complete data. Average daily steps were 13,121 pre-intervention and 14,128 post-intervention ( p > 0.05). Data collection was feasible, receiving a mean score > 4/5 (benchmark > 3.5/5). Conclusions: The Behaviour Change Wheel can be used to co-create an activity programme with adolescent girls. Predetermined benchmarks, except for pedometer recordings, were reached or exceeded, providing evidence for the need of a randomised controlled trial to test effectiveness.


Nutrients ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 1338
Author(s):  
Mastaneh Sharafi ◽  
Pouran Faghri ◽  
Tania B. Huedo-Medina ◽  
Valerie B. Duffy

In a secondary analysis, we assessed the ability of dietary and physical activity surveys to explain variability in weight loss within a worksite-adapted Diabetes Prevention Program. The program involved 58 overweight/obese female employees (average age = 46 ± 11 years SD; average body mass index = 34.7 ± 7.0 kg/m2 SD) of four long-term care facilities who survey-reported liking and frequency of dietary and physical activity behaviors. Data were analyzed using a latent variable approach, analysis of covariance, and nested regression analysis to predict percent weight change from baseline to intervention end at week 16 (average loss = 3.0%; range—6% gain to 17% loss), and follow-up at week 28 (average loss = 2.0%; range—8% gain to 16% loss). Using baseline responses, restrained eaters (reporting liking but low intakes of high fat/sweets) achieved greater weight loss at 28 weeks than those reporting high liking/high intake (average loss = 3.5 ± 0.9% versus 1.0 ± 0.8% S.E., respectively). Examining the dietary surveys separately, only improvements in liking for a healthy diet were associated significantly with weight loss (predicting 44% of total variance, p < 0.001). By contrasting liking versus intake changes, women reporting concurrent healthier diet liking and healthier intake lost the most weight (average loss = 5.4 ± 1.1% S.E.); those reporting eating healthier but not healthier diet liking (possible misreporting) gained weight (average gain = 0.3 ± 1.4% S.E.). Change in liking and frequency of physical activity were highly correlated but neither predicted weight loss independently. These pilot data support surveying dietary likes/dislikes as a useful measure to capture dietary behaviors associated with weight loss in worksite-based programs. Comparing dietary likes and intake may identify behaviors consistent (appropriate dietary restraint) or inconsistent (misreporting) with weight loss success.


PLoS ONE ◽  
2011 ◽  
Vol 6 (3) ◽  
pp. e18363 ◽  
Author(s):  
Gonzalo Grandes ◽  
Alvaro Sanchez ◽  
Imanol Montoya ◽  
Ricardo Ortega Sanchez-Pinilla ◽  
Jesús Torcal ◽  
...  

2007 ◽  
Vol 44 (5) ◽  
pp. 398-403 ◽  
Author(s):  
Molly M. Scott ◽  
Deborah A. Cohen ◽  
Kelly R. Evenson ◽  
John Elder ◽  
Diane Catellier ◽  
...  

2010 ◽  
Vol 22 (4) ◽  
pp. 638-650 ◽  
Author(s):  
Nicola D. Ridgers ◽  
Lee E.F. Graves ◽  
Lawrence Foweather ◽  
Gareth Stratton

Understanding children’s physical activity (PA) patterns and the factors that may influence PA are important for developing interventions within this population. One hundred and ten children aged 9–10 years from 8 schools had their PA patterns assessed over 7 days. Physiological and self-report data were also collected. Multilevel analyses revealed that cardiorespiratory fitness was a consistent, significant and positive predictor of weekday and weekend PA, while the availability of home sedentary activities was a significant but negative predictor of PA. Since a range of variables were associated with PA levels, intervention developers should be cognizant of variables that may influence children’s activity.


2003 ◽  
Vol 88 (12) ◽  
pp. 5914-5920 ◽  
Author(s):  
Yumi Matsushita ◽  
Tetsuji Yokoyama ◽  
Nobuo Yoshiike ◽  
Yasuhiro Matsumura ◽  
Chigusa Date ◽  
...  

Abstract The β3-adrenergic receptor (ADRB3) is expressed mainly in visceral adipose tissue and is thought to contribute to lipolysis and the delivery of free fatty acids to the portal vein. Although many studies have examined the relationship between the Trp64Arg mutation of ADRB3 and obesity, the results have been inconsistent. We examined the cross-sectional relationship of ADRB3 variants with indexes of obesity, and their longitudinal changes over 10 yr, in men and women, aged 40–69 yr, who were randomly selected from the Japanese rural population. The study considered both dietary energy intake and physical activity levels. Among the 746 participants, the genotype frequencies of the Trp64Trp, Trp64Arg, and Arg64Arg variants were 483, 224, and 39, respectively. The cross-sectional analysis showed no significant differences in height, weight, body mass index, blood pressure, serum total and high density lipoprotein cholesterols, and hemoglobin A1c among the genotype groups even after adjustments for gender, age, smoking, alcohol drinking, physical activity, and energy intake. No significant differences in the weight changes between the genotype groups were evident in the longitudinal analysis. We conclude that the Trp64Arg mutation of ADRB3 has little or no influence on either body weight or body mass index in the general Japanese population.


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