Impact of Artistic Gymnastics on Bone Formation Marker, Density and Geometry in Female Adolescents: ABCD-Growth Study

Exupério, Isabella Neto; Agostinete, Ricardo Ribeiro; Werneck, André O.; Maillane-Vanegas, Santiago; Luiz-de-Marco, Rafael; Mesquita, Eduardo Duarte Lima; Kemper, Han C. G.; Fernandes, Rômulo Araújo

doi:10.11005/jbm.2019.26.2.75

Cited by 25 publications

(18 citation statements)

References 33 publications

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“…The recruitment catchment area of the ABCD, which was composed of 21 participating sites, encompasses more than 20% of the entire United States population of 9-10-year-old children. The ABCD applied a carefully designed sampling and recruitment process across various sites, described elsewhere [56,57,59,[61][62][63][64][65][66][67][68][69][70][71][72][73][74], to ensure that the sample is random and representative. Such local randomization efforts yielded a final overall ABCD sample that is a close approximation of national sociodemographic factors.…”

Section: Design Setting and Samplingmentioning

confidence: 99%

Sex Differences in the Association between Household Income and Children’s Executive Function

Assari

Boyce

Bazargan

et al. 2020

Sexes

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The study aimed to investigate sex differences in the boosting effects of household income on children’s executive function in the US. This is a cross-sectional study using data from Wave 1 of the Adolescent Brain Cognitive Development (ABCD) study. Wave 1 ABCD included 8608 American children between ages 9 and 10 years old. The independent variable was household income. The primary outcome was executive function measured by the stop-signal task. Overall, high household income was associated with higher levels of executive function in the children. Sex showed a statistically significant interaction with household income on children’s executive function, indicating a stronger effect of high household income for female compared to male children. Household income is a more salient determinant of executive function for female compared to male American children. Low-income female children remain at the highest risk regarding poor executive function.

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Section: Design Setting and Samplingmentioning

confidence: 99%

Sex Differences in the Association between Household Income and Children’s Executive Function

Assari

Boyce

Bazargan

et al. 2020

Sexes

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“…ABCD participants were recruited across 21 participating sites that encompass over 1/5 th of the U.S. population of 9-10-year-old children. The sampling and recruitment to the ABCD study are described elsewhere (ABCD;Alcohol Research: Current Reviews Editorial, 2018;Asaad & Bjarkam, 2019;Auchter et al, 2018;Beauchaine, 2020;Buscemi et al, 2018;Casey et al, 2018;Dick et al, 2019aDick et al, , 2019bDick et al, , 2019cExuperio et al, 2019;Feldstein Ewing et al, 2018;Fine et al, 2019;Garavan et al, 2018;Gray, Schvey, & Tanofsky-Kraff, 2019;Hoffman, Howlett, Breslin, & Dowling, 2018;Lisdahl et al, 2018;Lynch et al, 2019;Michelini et al, 2019;Werneck et al, 2018). The ABCD efforts in sampling yielded a final sample that approximates the national composition of race and ethnicity, age, sex, SES, and urbanicity for 9-10-year-old children.…”

Section: Sample and Samplingmentioning

confidence: 99%

American Indian, Alaska Native, Native Hawaiian, and Pacific Islander Children’s Body Mass Index: Diminished Returns of Parental Education and Family Income

Assari¹

2020

RHS

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Background: High socioeconomic status (SES) is associated with several health-related outcomes, such as obesity and body mass index (BMI). However, we do not know whether SES is associated differently with children’s BMI from American Indian and Alaska Native and Native Hawaiian and Pacific Islander (AIAN/NHPI) families when compared to non-Hispanic White (NHW) families. Aim: To compare AIAN/NHPI and NHW families for associations between parental education, family income, and children’s BMI in the United States (U.S). Methods: This cross-sectional study used the Adolescent Brain Cognitive Development (ABCD) study. Participants (n = 8580) included 63 AIAN/NHPI and 8517 NHW children between ages 9 and 10. The independent variables were parental education and family income. The primary outcome was BMI. Race was the moderator. Age, sex, and family structure were covariates. Mixed-effects regression models were used for data analysis. Results: In the pooled sample, higher parental education and family income were associated with lower children’s BMI. We found interactions between race and parental education and family income indicating weaker associations between parental education and family income and children’s BMI in AIAN/NHPI families than in NHW families. Conclusion: The salience of parental education and family income as social determinants of children’s BMI is diminished for AIAN/NHPI families than NHW families. As a result, AIAN/NHPIs children with high SES remain at risk for high BMI, while high-SES NHW children show the lowest BMI. Future research should test if obesogenic environments, food options, and physical activity-friendly neighborhoods can explain higher-than-expected BMI in high-SES AIAN/NHPI children. In other terms, more research is needed to understand if residential segregation, discrimination, and historical trauma explain the observed differences in the social patterning of childhood BMI in AIAN/NHPI and NHW communities.

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“…The Physical Activity and Health Longitudinal (PAHL) study from A Monyeki et al [22], the Ellisras Longitudinal Study (ELS) from K Monyeki et al [23], and the Analysis of Behaviours of Children During Growth (ABCD-Growth study) [24] from Fernandes are three examples of recent longitudinal studies set up in other countries with new and modern techniques. They show that pediatric exercise science will bloom in the near future.…”

Section: Other Recent Longitudinal Studiesmentioning

confidence: 99%

Change in the Mindset of a Paediatric Exercise Physiologist: A Review of Fifty Years Research

Kemper

2020

IJERPH

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In this review, the career of a pediatric exercise physiologist (HCGK) is given over a period of almost 50 years. His research was concentrated on the relationship of physical activity (physical education, sport, and daily physical activity) with health and fitness in teenagers in secondary schools. (1) His first experiment was an exercise test on a bicycle ergometer to measure aerobic fitness by estimating physical work capacity at a heart rate of 170 beats/minute (PWC170). (2) Secondly, a randomized control trial (RCT) was performed with an intervention of more intensive physical education (PE) with circuit interval training during three lessons per week over a period of six weeks. (3) Thereafter, a second RCT was performed with an intervention of two extra PE lessons per week over a whole school year. The results of these two RCTs appeared to be small or nonsignificant, probably because the effects were confounded by differences in maturation and the habitual physical activity of these teenagers. (4) Therefore, the scope of the research was changed into the direction of a long-term longitudinal study (the Amsterdam Growth And Health Longitudinal Study). This study included male and female teenagers that were followed over many years to get insight into the individual changes in biological factors (growth, fitness, obesity, hypercholesterolemia, and hypertension) and lifestyle parameters such as nutrition, smoking, alcohol usage, and daily physical activity. With the help of new advanced statistical methods (generalized estimating equations, random coefficient analysis, and autoregression analysis) suitable for longitudinal data, research questions regarding repeated measurements, tracking, or stability were answered. New measurement techniques such as mineral bone density by means of dual-energy X-ray absorptiometry (DEXA) showed that bone can also be influenced by short bursts of mechanical load. This changed his mind: In children and adolescents, not only can daily aerobic exercise of at least 30 to 60 min duration increase the aerobic power of muscles, but very short highly intensive bursts of less than one minute per day can also increase the strength of their bones.

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Impact of Artistic Gymnastics on Bone Formation Marker, Density and Geometry in Female Adolescents: ABCD-Growth Study

Cited by 25 publications

References 33 publications

Sex Differences in the Association between Household Income and Children’s Executive Function

Sex Differences in the Association between Household Income and Children’s Executive Function

American Indian, Alaska Native, Native Hawaiian, and Pacific Islander Children’s Body Mass Index: Diminished Returns of Parental Education and Family Income

Change in the Mindset of a Paediatric Exercise Physiologist: A Review of Fifty Years Research

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