Do low levels of physical activity in female adolescents cause overweight and obesity? Objectively measured physical activity levels of periurban and rural adolescents

Cook, Ian

doi:10.7196/samjnew.7791

Cited by 7 publications

(9 citation statements)

References 16 publications

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“…The present study, in concurrence with many others [12, 15, 16], reported that males are more physically active than females. In both males and females, time spent in MVPA was positively associated with fitness, where fit individuals spent 15 more minutes per day in MVPA than unfit individuals, yet sedentary time was not associated with fitness.…”

Section: Discussionsupporting

confidence: 93%

Cardiorespiratory fitness levels and associations with physical activity and body composition in young South African adults from Soweto

et al. 2017

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BackgroundThis observational study aims to describe fitness, and objectively measured physical activity levels and patterns in 409 young black South African adults (aged 19–20 years) from Soweto, as well as to examine associations between physical activity, fitness and BMI.MethodsA sub-maximal ramped step test was used to obtain an estimate of maximal oxygen uptake (VO2max). Physical activity was measured using ActiGraph (GT1M) for 7 days in 256 participants. Time spent in sedentary (<100 counts per minute (cpm)), moderate (2020–5998 cpm) and vigorous (≥5999 cpm) intensity activity was calculated, and 90% of participants were considered active. Data are presented as mean(CI) or median(CI).ResultsOverweight and obesity was more prevalent in females than males (35% vs 8%, p < 0.001). Males had a higher VO2max than females (41.9(41, 43) vs 32.6(32, 33)mlO2/kg/min, p < 0.001); spent more time in moderate to vigorous intensity physical activity (MVPA) (83(80, 94) vs 43(38, 45)min/day, p < 0.001), and less time in sedentary behaviours (541(541, 567) vs 575(568, 597)min/day, p < 0.01). Sedentary time was not associated with VO2max, however BMI was inversely associated, and MVPA was positively associated, with VO2max (both p < 0.001).ConclusionsThe majority of young South African adults in this study were sufficiently active, and higher MVPA was associated with fitness. However, the high level of sedentary behaviour in this population is of concern and may be contributing to the increasing prevalence of overweight and obesity in this population. Young South African females are at greatest risk for decreased cardiovascular fitness and should be the focus for future interventions.Electronic supplementary materialThe online version of this article (doi:10.1186/s12889-017-4212-0) contains supplementary material, which is available to authorized users.

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Section: Discussionsupporting

confidence: 93%

Cardiorespiratory fitness levels and associations with physical activity and body composition in young South African adults from Soweto

et al. 2017

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“…Moreover, more than 80% of any weight-change group adhered to a PA guideline, whether energy expenditure-based or step-based. Previous cross-sectional analyses of the 2005-7 survey data, have shown that irrespective of increased BMI levels, the ambulation levels and the prevalence of meeting PA guidelines are high [15,19,21]. Adult DHDSS residents are active because of daily subsistence and active travel demands, rarely because of sport and recreation, especially amongst females [15,19].…”

Section: Discussionmentioning

confidence: 98%

Objectively-measured physical activity patterns and longitudinal weight category status in a rural setting

Cook¹

2019

Preprint

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Objectives: To investigate the relationship between longitudinal weight-change and objectively-measured physical activity (PA) in a rural African setting in 143 adults (≥30 years), using data from two cross-sectional surveys, separated by approximately ten years. Participants were categorised into three weight-change groups (Weight-loss: ≥25 kg.m-2→<25 kg.m-2; Weight-gain: <25 kg.m-2→≥25 kg.m-2; Weight-stability: remained <25 kg.m-2 or ≥25 kg.m-2). Daily ambulation and activity energy expenditure (AEE), measured in the 2005-7 health survey, was examined across the weight-change groups. Using the daily AEE data, the proportion of those in the weight-change groups, meeting or not meeting two PA guidelines (150- and 420 min.wk-1), was examined. Results: Weight-change was found in 18.2% of the sample. There was no significant overall body mass change (+1.2 kg, p=0.1616). However, there was significant change in body mass in the weight-gain (+15.2 kg) and weight-loss (-10.8 kg) groups (p≤0.0011). Nearly 90% of those who gained weight met the 150 min.wk-1 guideline. A significantly greater proportion of the weight-stable group (<25 kg.m-2) met the 420 min.wk-1 guideline (p<0.05). Ambulatory level was high irrespective of weight group, although the weight-stable group (<25 kg.m-2) approached 15 000 steps.day-1. There was an inconsistent and weak association between PA and weight-change in this group.

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“…Thus, it can be seen that the weak association between PAL and% CG found is presented in the literature as an indication that physical activity does not influence the indicators of overweight and obesity. [19][20] What can also be observed due to the fact that the majority of boys presented higher values for PAL (34.06%), as well as 53.10% of CG%. Values considered high within the male group contributing to the confirmation that there is no such association.…”

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confidence: 90%

“…11 In this regard, there is a gap in the literature on the subject that may be questioned in studies that observe the non-direct control relationship of body mass with levels of physical activity, which points to the need for a deepening on the importance of physical activity regarding obesity. [19][20][21] • To identify the relationship between Physical Activity Level and Percent Body Fat Percentage.…”

mentioning

confidence: 99%

“…3, 21,25 Other factors must be taken into account, since the influence of physical activities should be considered so that they are not only used as a medicine in health programs against obesity, 26 especially considering that the idealizers of such programs need to understand that being overweight and obesity suffer multifactorial influences, and one of the aspects that mainly corroborate for this morbidity is the food and hypercaloric habit. his relationship also represents a retrospective of habits and a personal and sociocultural restructuring for the fight against obesity [19][20][21] , thus seeking a program to combat overweight and obesity that is more effective and accessible. 2 Knowing the current condition of overweight and obesity population, one can think of more effective actions when planning a basic care program.…”

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confidence: 99%

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Relação da atividade física e percentual de gordura de escolares

Julio

Paladino

Machado

et al. 2018

Rev enferm UFPE on line.

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RESUMOObjetivo: identificar o Nível de Atividade Física e Percentual de Gordura Corporal de escolares. Método: estudo quantitativo, transversal, por amostragem composta de 640 escolares (Idade: 10±1 anos; Massa Corporal, 37,25±13,90kg; Estatura, 1,45±0,08m; IMC, 17,50±5,04kg/m²). O NAF por meio PAQ-C, %GC pelo método de dobras cutâneas e o IMC. Resultados: há diferenças significativas (p < 0,01, d = 0,37) no escore do PAQ-C entre os sexos, com superioridade nos valores masculinos; foram encontradas diferenças significativas na distribuição dos níveis de atividade física divididos pelo sexo (p < 0,0001, d = 6,7) e na distribuição do %CG pelo sexo (p < 0,0001, d=0,28). Conclusão: foram identificados índices de obesidade dentre os escolares (43% e 53,10%, populações feminina e masculina, respectivamente) ao mesmo tempo em que essa população apresenta que é ativa ou moderadamente ativa fisicamente (67,07% e 67,56%, masculino e feminino, respectivamente); contudo, não foi identificada associação entre Nível de Atividade Física e Percentual de Gordura Corporal. Estes resultados corroboram os achados gerais da literatura que demonstram que o NAF não é fator determinante para o valor Percentual de Gordura Corporal. Descritores: Escolares; Obesidade Infantil; Promoção da Saúde; Saúde Pública; Educação Física e Treinamento; Educação em Saúde.ABSTRACT Objective: to identify the level of Physical Activity and Percentage of Body Fat of schoolchildren. Method: cross-sectional quantitative study of 640 schoolchildren (Age: 10 ± 1 years; Body Mass, 37.25 ± 13.90 kg; Stature, 1.45 ± 0.08 m; BMI, 17.50 ± 5.04 kg / m²). The NAF by PAQ-C,% GC by the skinfold method and the BMI. Results: there were significant differences (p <0.01, d = 0.37) in the PAQ-C score between the sexes, with superiority in the male values; (p <0.0001, d = 6.7) and in the CG distribution by gender (p <0.0001, d = 0.28). Conclusion: obesity rates among schoolchildren (43% and 53.10%, female and male, respectively) were identified at the same time as this population shows that they are active or moderately physically active (67.07% and 67.56 %, male and female, respectively); however, no association was identified between Physical Activity Level and Body Fat Percentage. These results corroborate the general findings of the literature that demonstrate that PAL is not a determinant factor for the Percentage of Body Fat. Decriptors: School Children; Obesity; Health Promotion; Public Health; Physical Education and Training; Health Education.RESUMENObjetivo: identificar el Nivel de Actividad Física y Porcentaje de Grasa Corporal de escolares. Método: estudio cuantitativo transversal, por muestreo compuesto de 640 escolares (Edad: 10 ± 1 años; Masa Corporal, 37,25 ± 13,90kg; Estatura, 1,45 ± 0,08m; IMC, 17,50 ± 5,04kg / m²). El NAF por PAQ-C,% GC por el método de pliegues cutáneos y el IMC. Resultados: hay diferencias significativas (p <0,01, d = 0,37) en la puntuación del PAQ-C entre los sexos, con superioridad en los valores masculinos; se encontraron diferencias significativas en la distribución de los niveles de actividad física divididos por el sexo (p <0,0001, d = 6,7) y en la distribución del %CG por el sexo (p <0,0001, d = 0,28). Conclusión: se identificaron índices de obesidad entre los escolares (43% y 53,10%, poblaciones femenina y masculina, respectivamente) al mismo tiempo que esa población presenta que es activa o moderadamente activa físicamente (67,07% y 67,56% masculino y femenino respectivamente); sin embargo, no se identificó, asociación entre Nivel de Actividad Física y Porcentaje de Grasa Corporal. Estos resultados corroboran los hallazgos generales de la literatura que demuestran que el NAF no es factor determinante para los valores Porcentaje de Grasa Corporal. Descriptores: Escolares; Obesidad Infantil; Promoción de la Salud, Salud Pública; Educación y Entrenamiento Físico; Educación en Salud.

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Do low levels of physical activity in female adolescents cause overweight and obesity? Objectively measured physical activity levels of periurban and rural adolescents

Cited by 7 publications

References 16 publications

Cardiorespiratory fitness levels and associations with physical activity and body composition in young South African adults from Soweto

Cardiorespiratory fitness levels and associations with physical activity and body composition in young South African adults from Soweto

Objectively-measured physical activity patterns and longitudinal weight category status in a rural setting

Relação da atividade física e percentual de gordura de escolares

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