2 research outputs found

    Comparability of the Netherlands Physical Activity Questionnaire with accelerometer-measured physical activity in Samoan children: a retrospective analysis of Ola Tuputupuaā€™e data

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    Accurate measurement of physical activity is critical to understand its role in cardiometabolic health and obesity development in children and to monitor trends in behavior and evaluate interventions. An ongoing mixed-longitudinal study of child growth and development in Samoa is collecting physical activity data with both accelerometers and the Netherlands Physical Activity Questionnaire (NPAQ). The aims of our analyses were to (1) describe the response frequency and correlations of individual questions in the NPAQ, (2) develop modified NPAQ scores with selected questions and (3) examine the concordance of modified NPAQ scores with accelerometer outcomes among children aged 2ā€“4 years. We developed two modified NPAQ scores with combinations of questions and assessed concordance of the modified scores with accelerometer data using estimated marginal means adjusted for monitor wear time. Although the evenly distributed tertiles of the modified 15-point NPAQ score showed promising trends of increasing minutes of accelerometer-assessed high-intensity physical activity with increasing tertile, the estimated marginal means were imprecise with high variance, demonstrating that NPAQ score could not accurately assess physical activity levels of preschool-aged children in Samoa. Considering that questionnaires are often considered more cost-effective tools for physical activity measurement than accelerometry, further research is necessary to develop a culturally and age-appropriate physical activity questionnaire in this population

    Prediction of fat mass from anthropometry at ages 7 to 9 years in Samoans: a cross-sectional study in the Ola Tuputupuaā€™e cohort

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    Background/Objective: With increasing obesity prevalence in children globally, accurate and practical methods for quantifying body fat are critical for effective monitoring and prevention, particularly in high risk settings. No population is at higher risk of obesity than Pacific Islanders, including children living in the independent nation of Samoa. We developed and validated sex-specific prediction models for fat mass in Samoan children. Subjects/Methods: Dual x-ray absorptiometry (DXA) assessments of fat mass and weight, height, circumferences, and skinfolds were obtained from 356 children aged 7-9 years old in the Ola Tuputupuaā€™e ā€œGrowing Upā€ study. Sex-specific models were developed from a randomly selected model development sample (n=118 females, n=120 males) using generalized linear regressions. In a validation sample (n=59 females; n=59 males), Linā€™s concordance and Bland-Altman limits-of-agreement (LoA) of DXA-derived and predicted fat mass from this study and other published models were examined to assess precision and accuracy. Results: Ā Models to predict fat mass in kilograms were: e^[(-0.0034355*Age8-0.0059041*Age9+1.660441*l nā”(Weight(kg))-0.0087281 *Height(cm)+0.1393258 *lnā”[Suprailiac(mm)]-2.661793)] Ā for females and e^[-0.0409724 *Age8-0.0549923*Age9+336.8575*[Weight(kg)]^(-2)-22.34261 *l nā”(Weight(kg)) [Weight(kg)]^(-1)+0.0108696*Abdomen(cm)+ 6.811015 *怖Subscapular (mm)怗^(-2)-8.642559 *l nā”(Subscapular(mm)) 怖Subscapular(mm)怗^(-2)-1.663095 *Tricep(mm)^(-1) Ā +3.849035] Ā for males, where Age8=Age9=0 for children at age 7 years, Age8 =1 and Age9=0 at 8 years, Age8 =0 Ā and Age9 = 1 at 9 years. Models showed high predictive ability, with substantial concordance (Ļ_C>0.96), and agreement between DXA-derived and model-predicted fat mass (LoA female= -0.235, 95% CI:-2.924-2.453; male= -0.202, 95% CI:-1.977-1.572). Only one of four existing models, developed in a non-Samoan sample, accurately predicted fat mass among Samoan children. Conclusions: We developed models that predicted fat mass in Samoans aged 7-9 years old with greater precision and accuracy than the majority of existing models that were tested. Monitoring adiposity in children with these models may inform future obesity prevention and interventions.</p
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