Dietary behaviors, physical activity and sedentary lifestyle associated with overweight and obesity, and their socio-demographic correlates, among Pakistani primary school children

Mushtaq, Muhammad Umair; Gull, Sibgha; Mushtaq, Komal; Shahid, Ubeera; Shad, Mushtaq Ahmad; Akram, Javed

doi:10.1186/1479-5868-8-130

Cited by 115 publications

(119 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…f Includes 5 case-control studies (Xi et al 2011;Zurriaga et al 2011;Yi et al 2012;Al-Ghamdi 2013;Huang et al 2013). g Includes 125 cross-sectional studies (Beets and Foley 2010;Bishwalata et al 2010;Brown et al 2010;Ferrar and Olds 2010;Hong et al 2010;Ismailov and Leatherdale 2010;Jones et al 2010;Kuhle et al 2010;Legnani et al 2010;Liou et al 2010;Melkevik et al 2010;Olds et al 2010;Pitrou et al 2010;Rivera et al 2010;Ruiz et al 2010;Shan et al 2010;Thibault et al 2010;Wilkosz et al 2010;Yen et al 2010;Zhang et al 2010;Al-Hazzaa et al 2011;Allender et al 2011;Bener et al 2011;Brown et al 2011;Carson and Janssen 2011;Chen et al 2011;Dupuy et al 2011;Fernandes et al 2011;Goyal et al 2011;Hsu and Johnson 2011;Kimbro et al 2011;Leatherdale and Papadakis 2011;Martinez-Gomez et al 2011a;McConley et al 2011;Mushtaq et al 2011;Nigg et al 2011;Peart et al 2011;…”

Section: ) Long Accelerometer-derived Sedentary Bouts (≥5 Min)mentioning

confidence: 99%

Systematic review of sedentary behaviour and health indicators in school-aged children and youth: an update

Carson

Hunter

Kuzik

et al. 2016

Appl. Physiol. Nutr. Metab.

900

867

View full text Add to dashboard Cite

This systematic review is an update examining the relationships between objectively and subjectively measured sedentary behaviour and health indicators in children and youth aged 5-17 years. EMBASE, PsycINFO, and Medline were searched in December 2014, and date limits were imposed (≥February 2010). Included studies were peer-reviewed and met the a prioridetermined population (apparently healthy children and youth, mean age: 5-17 years), intervention (durations, patterns, and types of sedentary behaviours), comparator (various durations, patterns, and types of sedentary behaviours), and outcome (critical: body composition, metabolic syndrome/cardiovascular disease risk factors, behavioural conduct/pro-social behaviour, academic achievement; important: fitness, self-esteem) study criteria. Quality of evidence by outcome was assessed using the Grading of Recommendations Assessment, Development, and Evaluation framework. Due to heterogeneity, a narrative analysis was conducted. A total of 235 studies (194 unique samples) were included representing 1 657 064 unique participants from 71 different countries. Higher durations/frequencies of screen time and television (TV) viewing were associated with unfavourable body composition. Higher duration/frequency of TV viewing was also associated with higher clustered cardiometabolic risk scores. Higher durations of TV viewing and video game use were associated with unfavourable behavioural conduct/pro-social behaviour. Higher durations of reading and doing homework were associated with higher academic achievement. Higher duration of screen time was associated with lower fitness. Higher durations of screen time and computer use were associated with lower self-esteem. Evidence ranged from "very low" to "moderate" quality. Higher quality studies using reliable and valid sedentary behaviour measures should confirm this largely observational evidence.Key words: sitting, TV, screen time, body composition, fitness, metabolic syndrome, cardiovascular disease, self-esteem, pro-social behaviour, academic achievement. Résumé :Cette analyse documentaire systématique est une mise à jour de la relation entre la mesure objective/subjective des comportements sédentaires et les indicateurs de santé chez les enfants et les jeunes âgés de 5 à 17 ans. En décembre 2014, on cherche dans ASE, PsycINFO et Medline, mais on impose une limite de date (≥février 2010). Les études retenues sont sanctionnées par des pairs et sont conformes aux critères a priori déterminés dans l'étude : la population (des jeunes apparemment en bonne santé âgés de 5 à 17 ans), l'intervention (durée, habitudes et types de comportement sédentaire), la comparaison (durées variées, habitudes et types de comportement sédentaire) et le résultat (essentiel : composition corporelle, syndrome métabolique/ facteurs de risque de maladie cardiovasculaire, comportement/comportement prosocial, rendement scolaire; important : condition physique, estime de soi). La qualité des données probantes est évaluée pour chaque résultat pa...

show abstract

Section: ) Long Accelerometer-derived Sedentary Bouts (≥5 Min)mentioning

confidence: 99%

Systematic review of sedentary behaviour and health indicators in school-aged children and youth: an update

Carson

Hunter

Kuzik

et al. 2016

Appl. Physiol. Nutr. Metab.

900

867

View full text Add to dashboard Cite

show abstract

“…As respostas sobre níveis de atividade física entre gêneros modificam entre os diferentes levantamentos, em adolescentes do sul do Brasil, houve maior prevalência de meninas ativas (Farias Júnior et al, 2009), por outro lado, levantamentos realizados na China (Kong et al, 2010;Li, Dibley, Sibbritt, & Yan, 2006), Austrália (Hume et al, 2012), Reino Unido (Pearce, Basterfield, Mann, Parkinson, & Adamson, 2012) e Estados Unidos da América (Anderson, Economos, & Must, 2008;Eaton et al, 2010) (King et al, 2010;Pearce et al, 2012) e, se combinado ao comportamento sedentário excessivo (Anderson et al, 2008;Harrison, Burns, McGuinness, Heslin, & Murphy, 2006;Mushtaq et al, 2011;Sisson, Broyles, Baker, & Katzmarzyk, 2010) agrava riscos de excesso de peso e surgimento de doenças cardiovascular. Sendo assim, para predizer os FRCV, estudos defendem o envolvimento em AF de moderada a vigorosa intensidade acima dos 60 min/dia recomendados por diretrizes internacionais (Activity level and cardiovascular risk, 2006;Andersen et al, 2008).…”

Section: Discussionunclassified

Nível de atividade física como preditor de fatores de risco cardiovasculares em crianças

Andaki

Tinôco

Júnior

et al. 2013

Motriz: rev. educ. fis.

View full text Add to dashboard Cite

Resumo-O presente estudo avaliou a eficácia do nível de atividade física (NAF), envolvimento em atividade física de moderada a vigorosa intensidade (AFMV) e número de passos/dia para predição dos fatores de risco cardiovasculares (FRCV) em crianças. Foram mensuradas medidas antropométricas, composição corporal, pressão arterial, glicemia, HDL-c e triacilglicerídeos. NAF e envolvimento em AFMV foram obtidos pelo registro de atividade física e número de passos por pedômetro. Participaram 187 crianças com 9,90 ± 0,7 anos de idade. NAF apresentou área sob a curva ROC significativa para predição da obesidade, alto % de gordura corporal e pressão arterial alterada (PAA) nas meninas. NAF foi acurado em predizer obesidade e síndrome metabólica (SM) e AFMV foi acurada em predizer SM e PAA nos meninos. Meninos que atingiram a recomendação de 13000 passos/dia foram protegidos da SM e baixo HDL-c. Atender as recomendações de envolvimento em AFMV e número de passos protegem crianças dos FRCV.Palavras-chaves: obesidade, criança, doenças cardiovasculares Abstract-"Physical activity level as a predictor of cardiovascular risk factors in children." This study evaluated the effectiveness of the physical activity level (PAL), engagement in physical activity of moderate to vigorous intensity (MVPA) and number of steps/day as prediction of cardiovascular risk factors (CVRF) in children. We measured anthropometric parameters, body composition, blood pressure, blood glucose, HDL-c and triglycerides. The PAL and engagement in MVPA were obtained using a questionnaire and computing number steps/days with a pedometer. Participants were 187 children, with a mean age of 9.90 (± 0.7) years. The PAL showed a significant area under the ROC curve as a predictir of obesity, high body fat %, and high blood pressure (HBP) in girls. The PAL accurately predicted obesity and metabolic syndrome (MS), and MVPA accurately predicted MS and HBP in boys. Boys who achieved the recommended 13.000 steps/day were protected from MS and low HDL-c. Achieving the recommendations of engagement in MVPA and number of steps were protection against CVRFfactors in children. Keywords: obesity, children, cardiovascular diseasesResumen-"El nivel de actividad física como un predictor de riesgo cardiovascular en niños." En este estudio se evaluó la efectividad del nivel de actividad física (NAF), la participación en la actividad física de intensidad moderada a vigorosa (ATMV) y el número de pasos / día para la predicción de los factores de riesgo cardiovascular (FRCV) en niños. Medimos las medidas antropométricas, composición corporal, presión arterial, glucemia, colesterol HDL y triglicéridos. NAF y la participación en ATMV se obtuvieron los registros de la actividad física y los pasos podómetro por número. 187 niños participan 9,90 ± 0,7 años. NAF tuvo un área bajo la curva ROC significativa para la predicción de la obesidad, alto% de grasa corporal y la presión arterial enmendada (PAE) en las niñas. NAF fue precisa en la predicción de la obesidad y el síndrome metabólico ...

show abstract

“…Epidemiological studies had suggested that a "nibbling" pattern (pattern of eating) could help to prevent obesity. Obese people tent to eat little in the morning and much in the afternoon or/and evening, and even at night and significant correlation between the lack of eating breakfast and obesity was noted (Mushtaq et al 2011). However, there was no clear evidence linking daily number of meals and body adiposity (Bellisle 2005).…”

Section: Discussionmentioning

confidence: 99%

Body structure and maturation – the association with environmental factors

Nieczuja-Dwojacka

Siniarska

Sikorska

et al. 2017

Anthropological Review

View full text Add to dashboard Cite

AbstrAct:The main objective of the study was to determine the relationship between physique, maturation and some environmental factors. The study was conducted in Warsaw, between 2012 and 2013 in randomly selected schools. The material included 171 girls, aged 12-20 years. Body height and weight, upper and lower extremity length, subcutaneous fat folds on arm, subscapular and abdominal, circumferences of arm, chest, waist and hip were measured. Body proportion indices were calculated. The questionnaire form provided information on parental education and profession, and the number of children in family. Girls were asked about age at menarche, number of daily meals, level of physical activity, participation is sport, and level of stress at home and at school. The principal component analysis was applied and 4 factors were extracted from the set of living condition characteristics (F1 -Parental education & father's occupation, F2 -Mother's occupation and the number of children, F3 -Stress, F4 -Physical activity and number of daily meals). Regression analysis allowed to evaluate the association of body build characteristics and age at menarche with the four factors. Factor 1 and 4 were the only ones which showed a statistically significant association with body build. The results showed that girls who were taller, with smaller arm and waist circumferences and less adiposity came from families with higher parental education and better father's profession. Taller stature, longer legs and less adiposity characterized girls who were more physically active and consumed more than three meals a day.

show abstract

Dietary behaviors, physical activity and sedentary lifestyle associated with overweight and obesity, and their socio-demographic correlates, among Pakistani primary school children

Cited by 115 publications

References 42 publications

Systematic review of sedentary behaviour and health indicators in school-aged children and youth: an update

Systematic review of sedentary behaviour and health indicators in school-aged children and youth: an update

Nível de atividade física como preditor de fatores de risco cardiovasculares em crianças

Body structure and maturation – the association with environmental factors

Contact Info

Product

Resources

About