BMI is a better indicator of cardiac risk factors, as against elevated blood pressure in apparently healthy female adolescents and young adult students: Results from a cross-sectional study in Tripura

Debnath, Surajit

doi:10.4103/0970-0218.193340

Cited by 8 publications

(2 citation statements)

References 31 publications

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“…Among all variables, the most intriguing was BMI that remained persistently as the most significant and strongest predicting factor in the cohort studied and this finding echoes many other Asian studies 35 – 38 . Although BMI may have direct associations with the outcome variable that includes body fat among other risk factors such as blood pressure and cholesterol, but it is important to acknowledge the multiplicative effect of BMI on the clustered CVD risk factors as an agglomerated outcome.…”

Section: Discussionsupporting

confidence: 83%

Longitudinal assessment between lifestyle-related risk factors and a composite cardiovascular disease (CVD) risk index among adolescents in Malaysia

Thangiah

Chinna

et al. 2021

Sci Rep

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The study aims to create a composite risk index of CVD among adolescents and examine the influence of demographic, socioeconomic and lifestyle-related risk factors on the composite risk index of biological CVD risk factors among adolescents in Malaysia. A Malaysian adolescent cohort of 1320 adolescents were assessed at 13, 15 and 17 years. Seven biological CVD risk factors with moderate correlation were identified, standardized and averaged to form a composite CVD risk index. Generalised estimating equation using longitudinal linear regression was used to examine the effects of changes in adolescent lifestyle-related risk factors on the composite CVD risk index over time. From the ages 13 to 17 years, physical fitness (β = − 0.001, 90% CI = − 0.003, 0.00002) and BMI (β = 0.051, 95% CI = 0.042, 0.060) were significant predictors of attaining high scores of CVD risk. Female (β = 0.118, 95% CI = 0.040, 0.197), Chinese (β = 0.122, 95% CI = 0.006, 0.239), Indians (β = − 0.114, 95% CI = − 0.216, − 0.012) and adolescents from rural schools (β = 0.066, 95% CI = − 0.005, 0.136) were also found to be considerably significant. A more robust and gender-specific intervention programme focusing on healthy lifestyle (including achieving ideal BMI and improving physical fitness) need to be implemented among school-going adolescents.

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Section: Discussionsupporting

confidence: 83%

Longitudinal assessment between lifestyle-related risk factors and a composite cardiovascular disease (CVD) risk index among adolescents in Malaysia

Thangiah

Chinna

et al. 2021

Sci Rep

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show abstract

“…Its use in the adult and pediatric population is characterized as a powerful predictor of risk for cardiovascular disease (CVD), diabetes mellitus, all-cause mortality, and some types of cancer [1][2][3]. It is even used as a predictor of physical tness among young people and adults [4,5].…”

Section: Introductionmentioning

confidence: 99%

Relationship between Body Mass Index and lower limb strength in children and adolescents

Gomez-Campos,

Vidal-Espinoza,

Lazari

et al. 2023

Preprint

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Background Body mass index (BMI) is an anthropometric indicator used as a predictor of risk in cardiovascular disease and mortality. Objective to verify the linear and nonlinear (quadratic) relationships between BMI and lower limb strength in children and adolescents of both sexes in a region of Chile. Methodology: A descriptive (cross-sectional) study was carried out in children and adolescents of school age (6 to 17 years) of both sexes. The sample size was 863 schoolchildren (500 males and 363 females). Weight, height and the Horizontal jump test (HJ) were evaluated. Body Mass Index (BMI) and Z-BMI were calculated according to age and sex. Results In males, the explanatory power in the linear model (R = 0.15, R2 = 0.02, RMSE = 39.6) is lower than the non-linear quadratic model (R = 0.22, R2 = 0.05, RMSE = 39.0). In females, the explanatory power in the linear model (R = 0.12, R2 = 0.02, RMSE = 23.2) is lower than the quadratic nonlinear model (R = 0.19, R2 = 0.04, RMSE = 22.9). In the Z-IMC scale, men presented HJ values of: [Low BMI 145.4 ± 39.5cm, normal 164.2 ± 33.6cm, and high BMI 109.0 ± 23.2cm]. In females it was: [Low BMI 108.0 ± 23.0cm, normal 113.5 ± 36.3cm, and elevated BMI 91.5 ± 30.4cm]. Conclusion The study verified a curvilinear relationship in the form of a parabola (quadratic) between BMI and the HJ test in children and adolescents of both sexes. Schoolchildren in the extreme BMI categories (low and high BMI) reflected low performance in the HJ in relation to schoolchildren with normal BMI.

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Big Data Analytics in Healthcare

Matengo

Otsieno

Wanjiru

2020

Digital Health in Focus of Predictive, Preventive and Personalised Medicine

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BMI is a better indicator of cardiac risk factors, as against elevated blood pressure in apparently healthy female adolescents and young adult students: Results from a cross-sectional study in Tripura

Cited by 8 publications

References 31 publications

Longitudinal assessment between lifestyle-related risk factors and a composite cardiovascular disease (CVD) risk index among adolescents in Malaysia

Longitudinal assessment between lifestyle-related risk factors and a composite cardiovascular disease (CVD) risk index among adolescents in Malaysia

Relationship between Body Mass Index and lower limb strength in children and adolescents

Big Data Analytics in Healthcare

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