Accuracy of self-reported height measurements in parents and its effect on mid-parental target height calculation

Background Clinical determination of mid-parental height is an important part of the assessment of a child's growth, however our clinical impression has been that parents cannot be relied upon to accurately report their own heights. Therefore, we conducted this study to assess the accuracy of parental height self-reporting and its effect on calculated mid-parental target height for children presenting to a pediatric endocrinology office. Methods All parents bringing their children for an initial evaluation to a pediatric endocrinology clinic over a period of nine months were questioned and then measured by a pediatric endocrinologist. Parents were blinded to the study. Mid-parental target heights, based on reported and actual height were compared. Results There were 241 families: 98 fathers and 217 mothers in our study. Mean measured paternal height was 173.2 cm, self reported 174.9 cm (p < 0.0001), partner reported 177 cm (p = 0.0004). Only 50% of fathers and 58% of mothers reported their height within ± 2 cm of their measured height, while 15% of fathers and 12% of mothers were inaccurate by more than 4 cm. Mean measured maternal height was 160.6 cm, self-reported 161.1 cm (NS), partner reported 161.7 cm (NS). Inaccuracy of height self-report had a small but significant effect on the mean MPTH (0.4 cm, p = 0.045). Analysis showed that only 70% of MPTH calculated by reported heights fell within ± 2 cm of MPTH calculated using measured heights, 24% being in ± 2–4 cm range, and 6% were inaccurate by more than 4 cm. Conclusion There is a significant difference in paternal measured versus reported heights with an overall trend for fathers to overestimate their own height. A large subset of parents makes a substantial error in their height self-report, which leads to erroneous MPTH. Inaccuracy is even greater when one parent reports the other parent's height. When a child's growth is in question, measured rather than reported parental heights should be obtained.


Background
Growth hormone (GH) is essential for the regulation of body composition, nutrient metabolism, extra-cellular fluid volume, lean and fat mass, maintenance of muscle mass and strength, myocardial structure and function [1][2][3][4][5].
However, there is only scant information about GHD patients who have higher LV mass (LVM). Previous clinical trials clearly demonstrated that in obese and hypertensive patients with high LVM, increased relative risk for cardiovascular events is related to abnormal LV geometric remodeling [19][20][21][22][23].
Given that most GHD patients show high body mass index (BMI), we managed to study the echocardiographic characteristics of LVM and LV remodeling on this account. In order to establish whether there is a BMI-independent role of GHD on cardiac mass, the study group was compared to an age-and weight-matched control group.
Isolated GHD was observed in 16 patients (29.6%). Of the 31 patients with adenomas, inflammation or craniopharyngioma, 25 had undergone surgery and 10 also received radiotherapy.
The diagnosis of GHD was based on the decreased GH responsiveness (GH-peak) to pyridostigmine + GH releasing-hormone stimulation (oral administration of pyridostigmine 120 mg, followed, after 60 minutes, by GH-RH 100 ng/mL iv) and circulating IGF-I levels [24].
The GHD patients were divided into 2 groups based on the response to test : GH-peak was < 3 ng/mL in 38 patients (group A, severe GHD), and 3 to 17 ng/mL in 16 (group B, mild GHD).
Circulating IGF-1 was also tested in the GHD population. The normality range had been previously established in our Institution as follows: a) 131-384 ng/mL in patients aged 18 to 35, b) 100-312 ng/mL in those aged 36 to 50, and c) 106-270 ng/mL in over 50s.
Free triiodothyronine (FT3) and thyroxine (FT4) were measured in all the study population.
The onset of GHD (GHD length) was identified on the basis of clinical history (first diagnosis of pituitary disease, prior surgery, and, if any, previous chemical assays).
On admission, each patient underwent clinical evaluation, including measurements of weight, height, body mass index (BMI), sitting blood pressure, heart rate, standard 12-lead electrocardiography and Doppler echocardiography.
Acute coronary syndrome, previous myocardial infarction, congestive heart failure, congenital heart disease, ventricular arrhythmias, asthma, cancer, severe renal and hepatic dysfunction were all considered as exclusion criteria.
The assessment of high blood pressure was carried out in accordance with the current guidelines [25]. Patients who showed mild-to-moderate hypertension were included in the study. The final study group was compared to an ageand weight-matched control group of 20 subjects with no history of cardiac disease, from the same geographic region.

Cardiac ultrasound
Transthoracic Doppler echocardiography was performed with a commercial ultrasound unit equipped with 2.5-3.5 MHz transducers in harmonic imaging. Patients were examined in the left lateral supine decubitus after 15 minutes resting by an experienced physician, and data stored on magneto-optical disks.
The general distribution of LVM and LVMi in the GHD population was also recognised, and 3 different categories based on 2 median values were identified.
Once no wall motion abnormalities were found, LV ejection fraction was calculated by the single-plane Simpson rule method (LV diastolic volume -LV systolic volume/LV diastolic volume) from the 4-chamber apical view.
Diastolic function was evaluated by Doppler sampling at LV inflow [trans-mitral valve blood flow sampling: early (E) and late (A) peak velocity, E/A ratio, E-wave deceleration time] and the upper right pulmonary vein outflow [systolic (S) and diastolic (D) velocity, S/D ratio, and reverse atrial velocity (Ap)], in accordance with the current European guidelines [28].

Statistical analysis
Continuous variables are expressed as mean ± SD, except for data expressed in percents (%). Exact Fisher test, analysis of variance with either Scheffé, Kruskal-Wallis, or chisquared test when appropriate, were used to check the between-group differences.
Subjects' median age identified the age-related differences in LVM and LV systolic/diastolic functional parameters, and the differences were checked out by Student-T test. Linear correlation between LVMi and IGF-I and GH-peak was performed and a multivariate analysis was done in order to establish the main determinants of LVMi in the whole GHD population. The null hypothesis was rejected at 2 tails for p < 0.05 (95% CI).

Clinical features
Demographic and clinical characteristics of the study population are displayed in Table 1. With the exception of GH-peak and circulating IGF-1 (both lower in group A than in B, p < 0.0001 and < 0.05, respectively), there were no significant differences in basal values.
A higher, but not significant, number of females was present in group B (68.7%) than in A (39.5%) and C (55%).
Growth hormone deficiency length was established from 8 to 384 months (mean value 154 ± 115 months).

Cardiac morphology and function
Standard 12-lead ECG showed normal sinus rhythm in each patient, with no evidence of significant arrhythmias (atrial fibrillation, atrial flutter, premature ventricular beats >100/h, non-sustained tachycardia) and/or ST-T wave abnormalities suggestive of coronary artery disease.
Basal echocardiographic findings are displayed in Table 2. The main difference regarded the higher prevalence of extra-pericardial fat deposit in GHD patients than in controls (p < 0.001). Average values of LVM/LVMi were comparable among the groups. Figure 1 also shows the median-related distribution of LVM and LVMi in 3 categories (LVM <168 g, 168-244 g, >244 g, and LVMi <98 g/m 2 , 98-133 g/m 2 , >133 g/ m 2 ) for each study group. More than 70% of patients with severe GHD had LVM < 244 g and LVMi < 133 g/m 2 .
No significant age-related difference in LVMi, RWT, and systolic functional parameters was observed within the GHD group (Figure 2). Only a decrease in mitral E/A ratio was consistent with age, the same as reported in the general population [28].
Analysis of the LV geometric remodeling showed that the majority of GHD patients and controls had "normal geometry". Twelve GHD patients (10 with severe deficiency) showed "eccentric hypertrophy" (22.2% vs 15.0% in controls, NS). One patient from group A had "concentric remodeling" and another from the same group had "concentric hypertrophy" (Figure 3).
Overall, there was a moderate, but significant, correlation between LVMi and circulating IGF-I in the whole GHD population (r 0.39, p < 0.005), and particularly in group A (r 0.49, p < 0.002) (Figure 4). And IGF-1 was confirmed to be the main determinant for LVMi at multivariate analysis (Table 3).  Colour-flow mapping and Doppler sampling allowed identification of trivial mitral valve regurgitation in 31 patients from group A (81.6%), 13 from group B (92.8%), and 17 from group C (85%) (NS).

Discussion
The main findings from the present study indicate that there is no significant difference in left ventricular morphology and resting function between adult-onset GHD patients and overweight healthy subjects.
We know that high LVMi emerged as the most important prognostic determinant for cardiovascular events in patients with obesity and or hypertension [19][20][21][22]27,29].
Based on previous literature data on BMI in GHD patients, we managed to evaluate whether the analysis of LV geometric remodeling could improve the identification of those subgroups at risk for cardiovascular events, in relation with the higher LVMi. To have found LV eccentric hypertrophy in 22% of the cases (26% of with severe GHD) likely implies that some patients are, from this point of view, comparable to obese individuals, where this pattern usually occurs in more than 20% of cases. Given the specifc risk rate recognised in these latter category of patients, we may assume that this minority of GHD patients who show LV hypertrophy deserves further attention due to an equivalent estimated risk [19][20][21][22]29]. On the other hand, eccentric hypertrophy has been regarded as an effective way to keep systolic function into normality in obese patients, by resorting to the Starling reserve [22,23]. This adaptive mechanism is likely to play a role even in GHD patients, were we found no resting LV (systolic and diastolic) dysfunction in comparison to controls.
Hence, our results are in agreement with Ozbey et al, who demonstrated normal cardiac dimensions and LV systolic function at rest in the majority of their GHD patients [30].
On the contrary, depressed systolic function at rest with abnormal exertion response were recently shown by Colao et al in about 79% of patients with severe GHD, 44% with mild GHD, and 6% of controls [31].
In our opinion, such conflicting results between previous and present findings might be due to patients' age, length of GHD and extent of pituitary disease, methods to assess LV morphology and function, and local phenotypic characteristics as well [32][33][34][35].
The main limitations of this study is the inadequate patients' number to draw definite conclusions and the lack of information about LV performance at exercise. However, to evaluate the LV function was not a primary end-point. In fact, cardiovascular function of GHD patients, both at rest and/or exertion, can be affected by several co-morbidities, as coronary artery disease (even clinically silent), systemic hypertension, diabetes, metabolic syndrome, lung disease, multiple endocrine dysfunction, which should be all adequately screened [31][32][33][34][35][36].
Beyond greater circulating IGF-1, our patients with LV hypertrophy also showed slight increase in blood pressure at baseline, which pathophysiologic role on the modulation of cardiac mass is well known [21].
The Paris prospective study, a large controlled trial where the independent prognostic role of GH was investigated in the general population, clearly demonstrated that cardiovascular disorders mainly correlate to GH increase rather than to deficiency [37]. Accordingly, it has been unquestionably established that acromegalic patients are at high risk for cardiovascular events, due to development of LV hypertrophy, high blood pressure, and early vascular atherosclerosis [4,7,15,[37][38][39].

Conclusion
Findings from the present study show that LV morphology and resting function are not significantly different between GHD patients and age-and weight-matched control subjects.
Overall, these patients had low-normal LVM and LVMi, and high prevalence of pericardial fat deposit. However, in about 22% of them (26% of with severe GHD) an increase in LVMi, similar to overweight controls, can be observed. The main geometric pattern consists of LV eccentric hypertrophy.
In this series, LVMi was found to correlate with relatively high circulating IGF-1, but not to GH-peak or GHD length, and with resting systolic blood pressure.
Therefore, the analysis of the LV geometric remodeling appears to be such a simple echocardiographic method that can help physicians to better identify which category of GHD patients is likely to be at risk for cardiovascular events, strictly due to changes in cardiac mass.
Further study is needed to validate our results and establish their actual prognostic impact.