Background The measurement of height is crucial for weight status assessment. When standing height is difficult to measure, ulna length may offer a convenient and accurate surrogate of height measure. Adolescence is a period of accelerated linear growth; hence, the validation of age‐specific equations that predict height from ulna length in adolescents is warranted. The present study aimed to develop and validate age‐ and sex‐specific equations for predicting height from ulna length in New Zealand adolescents. Methods Height, weight and ulna length were measured in 364 adolescents (n = 110 males, n = 254 females) aged 15.0–18.8 years, who were enrolled in the SuNDiAL (Survey of Nutrition Dietary Assessment and Lifestyle) project, a cross‐sectional survey performed in 2019 and 2020. Regression models were used to determine equations to predict height from ulna length. Agreement between measured and predicted height, body mass index (BMI) and BMI z‐score was assessed with intra‐class correlation coefficients (ICC) and Bland–Altman plots. Sensitivity and specificity were calculated for classifying obesity. Results Strong agreement was found between predicted and measured height (ICC = 0.78; mean difference = 0; 95% confidence interval = −0.5 to 0.5 cm) and BMI (ICC = 0.95; mean difference = 0; 95% confidence interval = −0.1 to 0.1 kg m–2). Predicted height was 88.1% accurate when classifiying weight status, showing high sensitivity (93.8%) and specificity (99.4%) for classifying obesity. Conclusions Ulna length measurement can accurately estimate height and subsequently weight status in New Zealand adolescents aged 15–18 years.
Diet is one of the strongest modifiable risk factors for hypertension. In this study, we described the associations between dietary factors and blood pressure; and explored how weight status moderated these associations in a sample of New Zealand male adolescents. We collected demographics information, anthropometric, blood pressure, and dietary data from 108 male adolescents (15–17 years old). Mixed effects and logistic regression models were used to estimate relationships between dietary variables, blood pressure, and hypertension. Moderation effects of overweight status on the relationship between hypertension and diet were explored through forest plots. One-third (36%) of the sample was classified as hypertensive. Fruit intake was related to significantly lower systolic (−2.4 mmHg, p = 0.005) and diastolic blood pressure (−3.9 mmHg, p = 0.001). Vegetable and milk intake was related to significantly lower diastolic blood pressure (−1.4 mmHg, p = 0.047) and (−2.2 mmHg, p = 0.003), respectively. In overweight participants, greater vegetable and milk, and lower meat intake appeared to reduce the odds of hypertension. Certain dietary factors may have more prominent effects on blood pressure depending on weight status.
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