Introduction: Determining the target height or genetic height is a common reason for consultation with a pediatric endocrinology specialist. Both parents and children often seek to predict what their adult height will be, particularly when discrepancies are observed relative to same-sex peers in their social environment. While height is influenced by both genetic and environmental factors, families seek consultation on the feasibility of increasing stature beyond genetically determined limits.

Objective: To evaluate the association between the final height of adult university students and the height of their parents, in order to estimate the genetic influence on longitudinal growth.

Materials and Methods: During the period June–December 2025, the target heights of 77 university students were analyzed: 49 females and 28 males, with mean ages of 21.88 ± 1.60 years for females and 22.60 ± 1.55 years for males. The method proposed by Tanner, based on mid-parental height with sex-specific adjustments, was used. Student’s height was compared with their parent’s height, and their positions relative to the final target height. For statistical analysis, Pearson’s chi-squared test was applied (α = 0.05).

Results: The mean height of males was 177.50 ± 8.22 cm compared with 162.88 ± 6.82 cm for females. The mean maternal height for male students was 165.46 ± 6.53 cm and 161.62 ± 5.69 cm for female students. The mean paternal height was 176.21 ± 8.21 cm for males and 175.63 ± 7.58 cm for females. Fifty-seven percent of males exceeded paternal height, and 44.89% of females exceeded maternal height (p < 0.05).

Fifty percent (14/28) of males reached the expected target height, 17.85% (5/28) fell below it, and 32.14% (9/28) exceeded it. Among females, 73.46% (36/49) reached the target height, 14.28% (7/49) fell below it, and 12.24% (6/49) exceeded it (p < 0.05).

Of the 14 males who reached the target height, 11 (78.57%) were within mean ± 2 SD, and 3 (21.42%) were between mean −2 SD. Among the 36 females who reached the target height, 16 (44.44%) were within mean ± 2 SD, and 20 (55.55%) were between mean −2 SD (p < 0.05). Males who reached the target height tended to be located above the mean, whereas females were generally between the mean and −2 SD.

Conclusions: 57% of the Male students-paternal height/ female students-maternal height, and 50% reached the estimated target height. In the case of the girls, 44.89% exceeded their mother’s height. However, when the father’s height was incorporated into the Tanner equation, 73.46% of the girls reached the expected target height.

These results demonstrate a significant influence of the paternal genetic component on final height, which is reflected in the Tanner formula. The observed difference was statistically significant (p < 0.05).