ESPE2016 Poster Presentations Syndromes: Mechanisms and Management P1 (36 abstracts)
aMarmara University, Department of Pediatric Endocrinology, Istanbul, Turkey; bBoğaziçi University, Institute of Environmental Sciences, Istanbul, Turkey
Background: Estimation of the childs genetic height potential (target height) is an important tool in evaluating growth disorders. Midparental height (MPH) calculated as (Mothers height+Fathers height)/2±6.5 cm), used for this purpose, represents the childs expected height based on parental heights.
Objective and hypotheses: To evaluate the classical MPH calculations for our population and to explore the optimal MPH model using different mathematical models.
Method: Height measurements of 988 young adults and their both parents were taken.
Results: The average heights were 164.46±6.2 cm in girls and 177.1±6.8 cm in boys. On average, girls were 3.1 cm, taller than their mothers and boys were 3.4 cm taller than their fathers. Compared to their calculated MPH, offsprings actual heights were taller (3.8±5.7 cm in males and 2.7±6.4 in females). Correlation of actual height with MPH was slightly stronger in females than males (r: 0.537 vs 0.487, P<0.01). Furthermore, actual heights of females showed stronger correlation with their mother than their father (r: 0.486 vs r: 0.373), whereas in males, these were almost equal (r: 0.400 vs r: 0.404). Subgroup analyses demonstrated that in short (HtSDS<−1) subjects, height was significantly correlated only with maternal height in both genders. In tall (HtSDS>1) subjects, males heights correlated better with paternal height while in females this was similar for both parents. When there was a big difference (>2SDS) between parental heights, offsprings height correlated better with maternal height than paternal height in both genders (r: 0437 vs r: 0.196 in females, r: 0.479 vs 0.064 in males). Based on our data, multilineer regression models were tested to find the best model to estimate the height of the offspring using the parents heights yielded the formula below as the best model to make the closest estimations. Height SDS: A × Mothers height SDS +B x Fathers height SDS + C. A: Mothers coefficient (0.364), B: Fathers coefficient (0.247) C: Intercept (0.421).
All Females | All Males | Short females | Short males | Tall females | Tall males | Parents discrepant for height | ||
Height of Female offspring | Height of Male offspring | |||||||
MPH | 0.537 | 0.487 | 0.279 | 0.175 | 0.322 | 0.249 | 0.470 | 0.417 |
Maternal height | 0.486 | 0.373 | 0.315 | 0.395 | 0.256 | 0.117 | 0.437 | 0.479 |
Paternal height | 0.400 | 0.404 | 0.089 | 0.114 | 0.245 | 0.276 | 0.196 | 0.064 |
Conclusion: Classical MPH calculation explains only 25% variance in the offsprings height and this becomes less when the offspring is short, tall or when parental height difference is large. Modifications of MPH calculation using multilinear regression model improves accuracy to some extent (Table 1).