Hypertension among South African children in disadvantaged areas and associations with physical activity, fitness, and cardiovascular risk markers: A cross-sectional study.

Autor: Joubert, Nandi, Walter, Cheryl, du Randt, Rosa, Aerts, Ann, Adams, Larissa, Degen, Jan, Gall, Stefanie, Müller, Ivan, Nienaber, Madeleine, Nqweniso, Siphesihle, des Rosiers, Sarah, Seelig, Harald, Smith, Danielle, Steinmann, Peter, Probst-Hensch, Nicole, Utzinger, Jürg, Pühse, Uwe, Gerber, Markus
Předmět:
Zdroj: Journal of Sports Sciences; Nov 2021, Vol. 39 Issue 21, p2454-2467, 14p, 4 Charts, 3 Graphs
Abstrakt: Childhood hypertension drives hypertension in later life; hence, assessing blood pressure in children is an important measure to determine current and future cardiovascular health. There is, however, a paucity of childhood blood pressure data, particularly for sub-Saharan Africa. This study explores blood pressure and associations with age, sex, socioeconomic status, physical activity, fitness, and cardiovascular risk markers. In the 'Disease, Activity and Schoolchildren's Health' (DASH) study, a cross-sectional analysis was conducted in disadvantaged neighbourhoods in the Eastern Cape province of South Africa. Assessments included blood pressure, accelerometer-measured physical activity, physical fitness, and cardiovascular risk markers. The study consisted of 785 children (383 boys, 402 girls, M = 12.4±0.9 years). Overall, 18% of the children were classified as hypertensive, while 20% were either overweight/obese, and almost four out of ten children did not meet global daily physical activity recommendations. Hypertensive children were more likely to be overweight/obese, χ2 (2,785) = 14.42, p < 0.01, but only if they did not meet physical activity recommendations, χ2 (2,295) = 11.93, p < 0.01. Considering the moderating effect which sufficient activity has on the relationship between hypertension and body weight, more emphasis should be placed on early primary health intervention and education strategies. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index