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1.
Med Sci Sports Exerc ; 55(8): 1456-1464, 2023 08 01.
Artigo em Inglês | MEDLINE | ID: mdl-36924338

RESUMO

PURPOSE: Previous research has focused on device-based measures of activity compensation, with little understanding of how children perceive potential compensatory responses to activity or inactivity, or whether these change after periods of activity or inactivity. The aim of this study was (a) to explore the alignment between children's self-reported usual compensation and compensation recall after experimental conditions and (b) to examine sex differences. METHODS: In total, 360 children (47% boys) participated in at least one of three experimental conditions over 6 wk: (a) restricted physical activity (PA; indoor play), (b) imposed moderate- to vigorous-intensity PA (MVPA; sports class), and (c) imposed light-intensity PA (LPA; standing lesson). Before the first condition, children reported their "usual compensation" behavior to examples of restricted/imposed PA, and 2-3 d after each experimental condition, they completed a recall measure of their compensation after the condition. Multilevel regression models were conducted to determine whether children's perceptions of "usual compensation" score were associated with recalled compensation score after imposed or restricted PA. Additional models were fitted for sex-specific associations. RESULTS: Overall and among girls, the usual compensation score was positively associated with the compensatory recall score for the additional MVPA and LPA conditions ( P < 0.0005; e.g., they thought they would usually compensate for additional MVPA and then perceived that they compensated after additional MVPA). A negative association was seen in the restricted activity condition among girls ( P = 0.03). All associations in the boys' analyses were statistically nonsignificant. CONCLUSIONS: These findings suggest some alignment between children's self-reported usual compensation and compensation recall after imposed changes to routine activity. Future research should consider device-measured comparisons and identify characteristics of children at risk of activity compensation in future interventions.


Assuntos
Exercício Físico , Esportes , Humanos , Masculino , Criança , Feminino , Autorrelato , Comportamento Infantil
2.
Med Sci Sports Exerc ; 54(7): 1114-1122, 2022 07 01.
Artigo em Inglês | MEDLINE | ID: mdl-35195101

RESUMO

INTRODUCTION: The United Kingdom and World Health Organization recently changed their youth physical activity (PA) guidelines from 60 min of moderate- to vigorous-intensity PA (MVPA) every day, to an average of 60 min of MVPA per day, over a week. The changes are based on expert opinion due to insufficient evidence comparing health outcomes associated with different guideline definitions. This study used the International Children's Accelerometry Database to compare approaches to calculating youth PA compliance and associations with health indicators. METHODS: Cross-sectional accelerometer data (n = 21,612, 5-18 yr) were used to examine compliance with four guideline definitions: daily method (DM; ≥60 min MVPA every day), average method (AM; average of ≥60 min MVPA per day), AM5 (AM compliance and ≥5 min of vigorous PA [VPA] on ≥3 d), and AM15 (AM compliance and ≥15 min VPA on ≥3 d). Associations between compliance and health indicators were examined for all definitions. RESULTS: Compliance varied from 5.3% (DM) to 29.9% (AM). Associations between compliance and health indicators were similar for AM, AM5, and AM15. For example, compliance with AM, AM5, and AM15 was associated with a lower BMI z-score (statistics are coefficient [95% CI]): AM (-0.28 [-0.33 to -0.23]), AM5 (-0.28 [-0.33 to -0.23], and AM15 (-0.30 [-0.35 to -0.25]). Associations between compliance and health indicators for DM were similar/weaker, possibly reflecting fewer DM-compliant participants with health data and lower variability in exposure/outcome data. CONCLUSIONS: Youth completing 60 min of MVPA every day do not experience superior health benefits to youth completing an average of 60 min of MVPA per day. Guidelines should encourage youth to achieve an average of 60 min of MVPA per day. Different guideline definitions affect inactivity prevalence estimates; this must be considered when analyzing data and comparing studies.


Assuntos
Acelerometria , Comportamento Sedentário , Adolescente , Criança , Estudos Transversais , Exercício Físico , Humanos , Prevalência
3.
Med Sci Sports Exerc ; 52(7): 1502-1510, 2020 07.
Artigo em Inglês | MEDLINE | ID: mdl-31977636

RESUMO

INTRODUCTION: This cross-sectional study aimed to i) identify and characterize youth according to distinct physical activity (PA) and sedentary (SED) accumulation patterns, and ii) investigate associations of these derived patterns with cardiometabolic risk factors. METHODS: ActiGraph accelerometer data from 7- to 13-yr-olds from two studies were pooled (n = 1219; 843 (69%) with valid accelerometry included in analysis). Time accumulated in ≥5- and ≥10-min SED bouts, ≥1- and ≥5-min bouts of light, and ≥1-min bouts of moderate and vigorous PA was calculated. Frequency of breaks in SED was also obtained. Latent profile analysis was used to identify groups of participants based on their distinct accumulation patterns. Linear and logistic regression models were used to test associations of group accumulation patterns with cardiometabolic risk factors, including adiposity indicators, blood pressure, and lipids. Total PA and SED time were also compared between groups. RESULTS: Three distinct groups were identified: "prolonged sitters" had the most time in sustained SED bouts and the least time in vigorous PA bouts; "breakers" had the highest frequency of SED breaks and lowest engagement in sustained bouts across most PA intensities; and "prolonged movers" had the least time accumulated in SED bouts and the most in PA bouts across most intensities. Although breakers engaged in less time in PA bouts compared with other groups, they had the healthiest adiposity indicators. No associations with the remaining cardiometabolic risk factors were found. CONCLUSION: Youth accumulate their daily activity in three distinct patterns (prolonged sitters, breakers, and prolonger movers), with those breaking up sitting and least time in prolonged PA bouts across the day having a lower adiposity risk. No relationships with other cardiometabolic risk factors were identified.


Assuntos
Doenças Cardiovasculares/fisiopatologia , Sistema Cardiovascular/metabolismo , Exercício Físico/fisiologia , Comportamento Sedentário , Acelerometria/instrumentação , Adiposidade , Adolescente , Pressão Sanguínea , Índice de Massa Corporal , Doenças Cardiovasculares/sangue , Sistema Cardiovascular/fisiopatologia , Criança , HDL-Colesterol/sangue , LDL-Colesterol/sangue , Estudos Transversais , Feminino , Monitores de Aptidão Física , Humanos , Masculino , Fatores de Risco , Triglicerídeos/sangue , Circunferência da Cintura
4.
Med Sci Sports Exerc ; 50(1): 62-72, 2018 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-29251687

RESUMO

PURPOSE: Guidelines recommend that young people engage in muscle-strengthening activities on at least 3 d·wk. The purpose of this study was to examine the effect of a school-based intervention focused on resistance training (RT) for adolescents. METHODS: The "Resistance Training for Teens" intervention was evaluated using a cluster-randomized, controlled trial with 607 adolescents (50.1% girls; 14.1 ± 0.5 yr) from 16 secondary schools. Teachers were trained to deliver the intervention, which included the following: (i) an interactive student seminar; (ii) a structured physical activity program, focused on RT; (iii) lunchtime fitness sessions; and (iv) Web-based smartphone apps. The primary outcome was muscular fitness (MF) and secondary outcomes included body mass index, RT skill competency, flexibility, physical activity, self-efficacy, and motivation. Assessments were conducted at baseline, 6 months (postprogram; primary end point), and 12 months (follow-up). Outcomes were assessed using linear mixed models, with three potential moderators tested using interaction terms (and subgroup analyses where appropriate). RESULTS: For the primary outcome (MF), a group-time effect was observed at 6 months for the upper body (2.0 repetitions; 95% confidence interval (CI), 0.8-3.2), but not the lower body (-1.4 cm; 95% CI, -4.7-1.9). At 6 months, there were intervention effects for RT skill competency and self-efficacy, but no other secondary outcomes. Effects for upper body MF and RT skill competency were sustained at 12 months. Despite overall no effect for body mass index, there was a group-time effect at 12 months among students who were overweight/obese at baseline (-0.55 kg·m; 95% CI, -1.01 to -0.08). CONCLUSIONS: The school-based RT intervention resulted in immediate and sustained improvements in upper body MF and RT skill competency, demonstrating an effective and scalable approach to delivering RT within secondary schools.


Assuntos
Promoção da Saúde/métodos , Educação Física e Treinamento , Treinamento Resistido , Adolescente , Índice de Massa Corporal , Feminino , Comportamentos Relacionados com a Saúde , Humanos , Masculino , Motivação , Força Muscular , Músculo Esquelético/fisiologia , Resistência Física , Aptidão Física , Instituições Acadêmicas , Autoeficácia
5.
Med Sci Sports Exerc ; 49(12): 2498-2505, 2017 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-28727643

RESUMO

BACKGROUND: Physical activity (PA) levels decline substantially during adolescence and are consistently lower in girls. Competency in a range of fundamental movement skills (FMSs) may serve as a protective factor for the decline in PA typically observed in adolescent girls; yet, girls' mastery in FMS is low. Although interventions can improve FMS, there is a lack of interventions targeting girls, and very few are conducted in high schools. In addition, interventions are usually conducted by researchers, not teachers, and thus have little chance of being embedded into curricula. PURPOSE: This study aimed to evaluate the effectiveness of a school-based intervention, delivered by teachers, in improving adolescent girls' FMS. METHODS: Four all-girls Australian secondary schools were recruited and randomized into intervention or control groups. In total, 190 year 7 girls (103 control/87 intervention; mean age, 12.4 ± 0.3 yr) completed baseline and posttest measures at 12 wk. Six FMS (i.e., catch, throw, kick, jump, leap, and dodge) were measured using the Victorian FMS Assessment instrument. Mixed models with posttest skill (i.e., locomotor, object control, and total skill) as the outcome, adjusting for baseline skill, intervention and control status, and relevant covariates, as well as accounting for clustering at school and class level, were used to assess the intervention impact. RESULTS: There were significant intervention effects, and large effect sizes (Cohen d) noted in locomotor (P = 0.04, t = 5.15, d = 1.6), object control (P < 0.001, t = 11.06, d = 0.83), and total skill (P = 0.02, t = 7.22, d = 1.36). CONCLUSIONS: Teachers adequately trained in authentic assessment and student-centered instruction can significantly improve the FMS competency of early adolescent girls. Therefore, comprehensive teacher training should be viewed as an integral component of future school-based interventions.


Assuntos
Destreza Motora/fisiologia , Educação Física e Treinamento/métodos , Adolescente , Austrália , Criança , Currículo , Estudos de Viabilidade , Feminino , Humanos , Movimento/fisiologia , Projetos Piloto , Fatores Sexuais , Capacitação de Professores
6.
Med Sci Sports Exerc ; 49(5): 922-929, 2017 05.
Artigo em Inglês | MEDLINE | ID: mdl-28060036

RESUMO

INTRODUCTION: Understanding how the weather affects physical activity (PA) may help in the design, analysis, and interpretation of future studies, especially when investigating PA across diverse meteorological settings and with long follow-up periods. The present longitudinal study first aims to examine the influence of daily weather elements on intraindividual PA patterns among primary school children across four seasons, reflecting day-to-day variation within each season. Second, we investigate whether the influence of weather elements differs by day of the week (weekdays vs weekends), gender, age, and body mass index. METHOD: PA data were collected by ActiGraph accelerometers for 1 wk in each of four school terms that reflect each season in southeast Australia. PA data from 307 children (age range 8.7-12.8 yr) were matched to daily meteorological variables obtained from the Australian Government's Bureau of Meteorology (maximum temperature, relative humidity, solar radiation, day length, and rainfall). Daily PA patterns and their association with weather elements were analyzed using multilevel linear mixed models. RESULTS: Temperature was the strongest predictor of moderate and vigorous PA, followed by solar radiation and humidity. The relation with temperature was curvilinear, showing optimum PA levels at temperatures between 20°C and 22°C. Associations between weather elements on PA did not differ by gender, child's age, or body mass index. CONCLUSIONS: This novel study focused on the influence of weather elements on intraindividual PA patterns in children. As weather influences cannot be controlled, knowledge of its effect on individual PA patterns may help in the design of future studies, interpretation of their results, and translation into PA promotion.


Assuntos
Exercício Físico , Tempo (Meteorologia) , Fatores Etários , Austrália , Índice de Massa Corporal , Criança , Humanos , Umidade , Estudos Longitudinais , Chuva , Estações do Ano , Fatores Sexuais , Luz Solar , Temperatura
7.
Med Sci Sports Exerc ; 48(11): 2135-2141, 2016 11.
Artigo em Inglês | MEDLINE | ID: mdl-27760071

RESUMO

PURPOSE: This study examined the prospective associations of reallocating time spent in different types of sedentary behavior, physical activity, and sleep with body mass index (BMI) in children using isotemporal substitution analysis. METHODS: Chinese children in grades 1-3 were recruited to a cohort study in 2009 and were followed up over a 2-yr period. Reports were gathered from the parents on children's sedentary behavior, sleep duration, and sociodemographic variables. The reported sedentary behavior types were then grouped into three categories: screen time (e.g., watching TV), academic-related activities (e.g., doing homework), and other sedentary behaviors (e.g., sitting and talking). Moderate-to-vigorous physical activity (MVPA) and light-intensity physical activity were assessed by ActiGraph accelerometry (ActiGraph, Pensacola, FL). Isotemporal substitution models were performed to examine the effects of time allocation on BMI. RESULTS: A total of 672 children (359 boys, mean age at recruitment = 7.6 yr) who had provided valid accelerometer data for at least one assessment time point were included in the analysis. Controlling for covariates and total behavior time, isotemporal substitution models indicated that the displacement of 30 min·d of other sedentary behaviors with equal amounts of screen time (B = 0.12; 95% confidence interval, 0.04-0.20) or academic-related activities (B = 0.13; 95% confidence interval, 0.04-0.21) was associated with higher BMI. Reallocating 30 min·d of MVPA with each of the sedentary behavior variables resulted in increased BMI. CONCLUSIONS: The substitution of screen time or academic-related activities with other sedentary behaviors or MVPA was associated with lower BMI in Chinese children.


Assuntos
Índice de Massa Corporal , Exercício Físico/fisiologia , Comportamento Sedentário , Acelerometria , Criança , Feminino , Hong Kong , Humanos , Masculino , Modelos Estatísticos , Obesidade Infantil/prevenção & controle , Análise de Regressão , Sono/fisiologia , Fatores de Tempo
8.
Med Sci Sports Exerc ; 48(4): 633-40, 2016 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-26501231

RESUMO

PURPOSE: Both moderate-to-vigorous physical activity (MVPA) and sedentary behavior can be associated with adult adiposity. Much of the relevant evidence is from cross-sectional studies or from prospective studies with relevant exposure measures at a single time point before weight gain or incident obesity. This study examined whether changes in MVPA and television (TV) viewing time are associated with subsequent changes in waist circumference, using data from three separate observation points in a large population-based prospective study of Australian adults. METHODS: Data were obtained from the Australian Diabetes, Obesity, and Lifestyle study collected in 1999-2000 (baseline), 2004-2005 (wave 2), and 2011-2012 (wave 3). The study sample consisted of adults age 25 to 74 yr at baseline who also attended site measurement at three time points (n = 3261). Multilevel linear regression analysis examined associations of initial 5-yr changes in MVPA and TV viewing time (from baseline to wave 2) with 12-yr change in waist circumference (from baseline to wave 3), adjusting for well-known confounders. RESULTS: As categorical predictors, increases in MVPA significantly attenuated increases in waist circumference (P for trend < 0.001). TV viewing time change was not significantly associated with changes in waist circumference (P for trend = 0.06). Combined categories of MVPA and TV viewing time changes were predictive of waist circumference increases; compared with those who increased MVPA and reduced TV viewing time, those who reduced MVPA and increased TV viewing time had a 2-cm greater increase in waist circumference (P = 0.001). CONCLUSION: Decreasing MVPA emerged as a significant predictor of increases in waist circumference. Increasing TV viewing time was also influential, but its impact was much weaker than MVPA.


Assuntos
Exercício Físico , Comportamento Sedentário , Televisão , Fatores de Tempo , Circunferência da Cintura , Adulto , Idoso , Feminino , Seguimentos , Humanos , Modelos Lineares , Masculino , Pessoa de Meia-Idade , Estudos Prospectivos
9.
Med Sci Sports Exerc ; 47(10): 2093-101, 2015 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-25668400

RESUMO

PURPOSE: Light-intensity physical activity (LIPA) accounts for much of adults' waking hours (≈40%) and substantially contributes to overall daily energy expenditure. Encompassing activity behaviors of low intensity (standing with little movement) to those of higher intensity (slow walking), LIPA is ubiquitous, yet little is known about how associations with health may vary depending on its intensity. We examined the associations of objectively assessed LIPA (categorized as either low LIPA [LLPA] or high LIPA [HLPA]) and moderate- to vigorous-intensity activity with cardiometabolic risk biomarkers. METHODS: Cardiometabolic biomarkers were measured in 4614 US adults (47 ± 17 yr) who participated in the 2003-2004 and 2005-2006 National Health and Nutrition Examination Survey cycles. Multiple linear regression analyses examined the associations of three accelerometer-derived physical activity (SD increment per day) intensity categories (LLPA, 100-761 counts per minute; HLPA, 762-1951 counts per minute; moderate-intensity physical activity [MPA], 1952-5724 counts per minute; vigorous-intensity physical activity [VPA], ≥5725 counts per minute) with cardiometabolic biomarkers, adjusting for potential sociodemographic, behavioral, and medical confounders. RESULTS: All intensities of physical activity were beneficially associated with waist circumference, C-reactive protein, triglycerides, fasting insulin, ß-cell function, and insulin sensitivity (P < 0.05); only some activity intensities showed significant associations with systolic blood pressure (LLPA), body mass index, HDL cholesterol, fasting glucose, and 2-h plasma glucose (HLPA, MPA, and VPA). Generally, effect size increased with intensity of physical activity. Overall, further adjustment for waist circumference attenuated associations with MPA and VPA to a greater extent than associations with LLPA and HLPA. CONCLUSIONS: The cross-sectional findings provide novel evidence for the potential benefits of increasing both LLPA and HLPA. They further reinforce the established importance of moderate- to vigorous-intensity activity, the mainstay of public health recommendations.


Assuntos
Biomarcadores/sangue , Doenças Cardiovasculares/fisiopatologia , Doenças Metabólicas/fisiopatologia , Atividade Motora/fisiologia , Adulto , Glicemia/metabolismo , Pressão Sanguínea , Índice de Massa Corporal , Proteína C-Reativa/metabolismo , Doenças Cardiovasculares/prevenção & controle , HDL-Colesterol/sangue , Estudos Transversais , Feminino , Humanos , Insulina/sangue , Resistência à Insulina , Células Secretoras de Insulina/fisiologia , Masculino , Doenças Metabólicas/prevenção & controle , Pessoa de Meia-Idade , Fatores de Risco , Triglicerídeos/sangue , Circunferência da Cintura
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