Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 3 de 3
Filter
Add more filters










Language
Publication year range
1.
Geriatr Nurs ; 57: 96-102, 2024.
Article in English | MEDLINE | ID: mdl-38608486

ABSTRACT

We investigated the association of movement behavior patterns with cardiometabolic health, body composition, and functional fitness in older adults. A total of 242 older adults participated of this cross-sectional study. Sedentary time, light physical activity (LPA) and moderate-vigorous physical activity (MVPA), steps/day, and step cadence were assessed by accelerometry. The movement behavior patterns were derived by principal component analysis. Cardiometabolic health was defined by a metabolic syndrome score (cMetS). Body composition was determined by appendicular lean mass/body mass index (ALM/BMI). Functional fitness was assessed by a composite z-score from the Senior Fitness Test battery. Two patterns were identified: 'Tortoise' (low sedentary time, high LPA and steps/day) and 'Hare' (high MVPA, steps/day, and step cadence). 'Tortoise' and 'Hare' were associated with better cMetS. 'Hare' was positively associated with ALM/BMI and Functional Fitness. While 'Tortoise' and 'Hare' were associated with better cMetS, only 'Hare' was associated with better ALM/BMI and functional fitness.


Subject(s)
Accelerometry , Body Composition , Exercise , Physical Fitness , Humans , Cross-Sectional Studies , Male , Aged , Female , Physical Fitness/physiology , Body Mass Index , Metabolic Syndrome/physiopathology , Sedentary Behavior
2.
J. pediatr. (Rio J.) ; 96(1): 46-52, Jan.-Feb. 2020. tab
Article in English | LILACS | ID: biblio-1091006

ABSTRACT

Abstract Objective Analyze whether the association between sociodemographic variables and physical activity levels is mediated by psychosocial factors. Methods This is a cross-sectional epidemiological study of public and private high school students in João Pessoa, Paraíba state, Brazil. A total of 2540 adolescents (57.0% female) were analyzed (16.4 ± 1.2 years). Physical activity was estimated using a questionnaire, self-efficacy, and parents' and friends' social support by scales, all previously validated. Results The association between sex and the physical activity level of adolescents was partially mediated by the social support of parents (β = 0.79; p < 0.001) and friends (β = 2.96; p < 0.001), and the association between age and physical activity level was partially mediated by parents' social support (β = 0.78; p < 0.001). The associations between sex and age and physical activity levels of adolescents were mediated by the social support of parents and friends. Conclusions Differences in physical activity levels between adolescent females and males and between younger and older adolescents may be partially explained by differences in social support provided by parents and friends. Implementation strategies to increase the social support of parents and friends may help reduce the differences in physical activity levels between these subgroups of adolescents.


Resumo Objetivo Analisar se a associação entre variáveis sociodemográficas e níveis de atividade física é mediada por fatores psicossociais. Métodos Este é um estudo epidemiológico transversal com estudantes do ensino médio de escolas públicas e privadas de João Pessoa, Paraíba, Brasil. Foram analisados 2.540 adolescentes (57,0% do sexo feminino) (16,4 ± 1,2 anos). A atividade física foi estimada por meio de questionário, autoeficácia e apoio social dos pais e amigos através de escalas, todas previamente validadas. Resultados A associação entre sexo e o nível de atividade física dos adolescentes foi parcialmente mediada pelo apoio social dos pais (β = 0,79; p < 0,001) e dos amigos (β = 2,96; p < 0,001) e a associação entre idade e nível de atividade física foi parcialmente mediada pelo apoio social dos pais (β = 0,78; p < 0,001). A associação entre sexo e idade e níveis de atividade física dos adolescentes foi mediada pelo apoio social de pais e amigos. Conclusões As diferenças nos níveis de atividade física entre adolescentes do sexo feminino e masculino e entre adolescentes mais jovens e mais velhos podem ser parcialmente explicadas pelas diferenças no apoio social fornecido pelos pais e amigos. A implantação de estratégias para aumentar o apoio social de pais e amigos pode ajudar a reduzir as diferenças nos níveis de atividade física entre esses subgrupos de adolescentes.


Subject(s)
Humans , Male , Female , Adolescent , Adolescent Behavior , Self Efficacy , Parents , Social Support , Brazil , Exercise , Cross-Sectional Studies , Surveys and Questionnaires , Friends
3.
J Sports Sci Med ; 18(3): 390-398, 2019 Sep.
Article in English | MEDLINE | ID: mdl-31427859

ABSTRACT

A total of 17 participants (30.2 ± 4.8 years; 35.4 ± 4 kg/m2; 38.2 ± 3.6 % body fat) were enrolled in this randomized crossover trial to analyze the effects of a single session of high-intensity interval (HIIE) and moderate-intensity continuous exercise (MICE) on the physical activity and sedentary behavior levels in inactive obese males. The participants performed two exercise sessions and one control session (no exercise): i) low-volume HIIE (10 x 60 s at 90% of maximal aerobic velocity [MAV] interspaced by 60 s at 30% of MAV); ii) MICE (20 min at 70% of maximum heart rate); and iii) control (25 min in a seated position). After all sessions, the physical activity and sedentary behavior levels were monitored by accelerometer over seven consecutive days. No differences in the physical activity (activity counts, and time spent at light, moderate, and vigorous intensities) and sedentary behavior (time spent at sedentary behavior, breaks, and bouts) levels were found among the sessions (HIIE, MICE and control) (p > 0.05). In summary, a single session of HIIE and MICE does not change the physical activity and sedentary behavior levels in inactive obese males. Therefore, low-volume of both high- and moderate-intensity exercise should be considered for inactive obese males given that it does not reduce the physical activity level or increase the time spent at sedentary behavior.


Subject(s)
Exercise , High-Intensity Interval Training , Obesity/therapy , Sedentary Behavior , Accelerometry , Adult , Cross-Over Studies , Fitness Trackers , Humans , Intention to Treat Analysis , Male , Obesity/psychology , Time Factors
SELECTION OF CITATIONS
SEARCH DETAIL
...