2020
DOI: 10.1007/s40279-020-01394-6
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Temporal Trends in the Standing Broad Jump Performance of 10,940,801 Children and Adolescents Between 1960 and 2017

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Cited by 51 publications
(55 citation statements)
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“…Temporal trends in mean step test performance were analyzed from summary statistics at the sex-age group level for all Chinese adults (aged 20–59 years), and for separate location (rural and urban) and occupation (manual labor and non-manual labor) groups, using sample-weighted linear regression models relating the year of testing to mean step test performance. 31 Linear models were used because they naturally summarized the overall temporal trends. Because STI data are interval, we expressed the overall linear trends as standardized ES (i.e., the regression coefficient divided by the pooled SD), which facilitated comparisons between groups and with published studies.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Temporal trends in mean step test performance were analyzed from summary statistics at the sex-age group level for all Chinese adults (aged 20–59 years), and for separate location (rural and urban) and occupation (manual labor and non-manual labor) groups, using sample-weighted linear regression models relating the year of testing to mean step test performance. 31 Linear models were used because they naturally summarized the overall temporal trends. Because STI data are interval, we expressed the overall linear trends as standardized ES (i.e., the regression coefficient divided by the pooled SD), which facilitated comparisons between groups and with published studies.…”
Section: Methodsmentioning
confidence: 99%
“…Using procedures described elsewhere, 31 we calculated population-weighted mean changes (for 20-to 29-year-olds, 30-to 39-year-olds, 40-to 49-year-olds and 50-to 59-year-olds, plus young adults (20-to 39-year-olds), middle-aged adults (40-to 59-year-olds), and all adults), sex (men and women), location, and occupation groups by pooling the rates of change across all relevant groups using post-stratification population weighting. 33 Population weights were obtained from sex-age-specific population estimates for China in 2000 using United Nations data.…”
Section: Methodsmentioning
confidence: 99%
“…The American norms, while most recent from within the country, were somewhat antiquated. Caution should be exercised concerning such percentile ranks given that it has been suggested that high- and upper-middle-income countries may have been experiencing secular declines in SLJ performance in youth without VI since the year 2000 [ 36 ]. Likewise, the European norms were not directly translatable to the current American sample.…”
Section: Methodsmentioning
confidence: 99%
“…Open access temporal trends and health-related criterion-referenced cut-points to be determined. [14][15][16][17][18][19][20] In Latin America, Brazil developed a fit-for-purpose PF test battery 21 that has thus far only been used to assess Brazilian youth. In other Latin American countries, PF has been reported using different test protocols, [22][23][24][25][26][27] which makes between-country comparisons challenging.…”
Section: Strengths and Limitations Of This Studymentioning
confidence: 99%
“…5 Internationally, there are numerous tests and test batteries used to assess PF levels in children and adolescents, 13 enabling decisionmakers to monitor population health. In this way, various instruments have been developed in different parts of the world in order to report or track population levels of PF, especially for children and adolescents, [14][15][16][17] because schools provide opportunities for population-based testing that do not normally exist for adults. Systematic reviews and metaanalyses have identified and gathered the results of published studies related to PF, which have allowed global comparisons,…”
Section: Introductionmentioning
confidence: 99%