Helicobacter pylori is mainly acquired in childhood,1 but the diseases associated with such infection remain unknown. Scottish and Italian schoolchildren infected with H pylori showed reduced growth in height,2,3 and H pylori gastritis was found in 55% of French children examined for short stature.4 To evaluate the role of H pylori and socioeconomic factors on growth we compared children with idiopathic short stature with those of normal height.
Subjects, methods, and results
This study was approved by and conducted within the guidelines of the gastric disease section of the Italian Society for Paediatric Gastroenterology and Hepatology (SIGEP). Between April 1996 and March 1997 we recruited 134 consecutive children aged 5-13 years (median 9.8 years) whose height was below the third centile—that is, two standard deviations below the mean height of their peers—from 26 paediatric gastroenterology and endocrinology units in Italy. We individually matched them with children of the same age and sex from the same region whose height was above the 25th centile and who had been referred for minor diseases. Obvious medical reasons for short stature (chronic or neoplastic disease with or without genetic abnormalities) were excluded by history and appropriate tests. Information on risk factors was collected by structured questionnaires with questions on socioeconomic status (education, number of cohabiting relatives, and number of rooms at home) and anthropometric data. Weight and height were measured and serum samples collected.
Serum was tested for H pylori IgG in a central laboratory by enzyme linked immunosorbent assay (ELISA) (Helori, Eurospital, Italy). The assay was concurrently validated in 127 children of similar age whose H pylori status was known from the results of gastric biopsy. Children were considered to be infected when their titre was >12 AU/ml, the cut off point determined from receiver operating characteristic curves (sensitivity 87%, specificity 94%). The Wilcoxon rank sum test was used to evaluate differences in continuous variables. Categorical data analysis was used on matched sets. Conditional logistic regression models were used for multivariate matched analyses.
Cases had a lower birth weight (P<0.01) and their parents were shorter (P<0.01) and had attended school for fewer years (P<0.01) (table). Families of controls had fewer children but the same number of rooms at home. A high crowding index and presence of more than one type of pet was significantly associated with short stature (table). Serology showed H pylori infection in 27 cases (20%) and 18 controls (13%) (P=0.191). Prevalence tended to be higher in boys, but the difference was significant only in cases (27% (23/85) in short boys v 10% (5/49) in short girls, P=0.03) and tended to be higher in cases with lower growth hormone concentrations (22% (10/46) in those with peak hormone concentrations <10 pg/l v 12% (6/50) in those with concentrations ⩾10 pg/l; P=0.314). Parental height, lower birth weight, and a crowded home persisted in a multivariate analysis as independent predictors of short stature.
Comment
Our results show that H pylori is not a risk factor for short stature and that reduced growth is related to genetic determinants such as parental height and to mixed genetic and environmental factors such as birth weight. Low socioeconomic status was relevant. The decreased growth found in Scottish and Italian schoolchildren infected with H pylori might be related to the association between lower socioeconomic group and H pylori acquisition.2,3 The higher prevalence of H pylori in disadvantaged children suggests that infection should be considered a marker of low socioeconomic group in studies on growth, with other factors causing the reduced growth. Although genetic factors cannot be modified, more attention should be paid to pregnancy, living conditions, nutrition, infections, and emotional deprivation. The association between short stature and low socioeconomic group seems particularly relevant in view of the reported unsatisfactory long term efficacy of expensive treatment with growth hormone.5
Table.
Factor | No of cases | No of controls | Matched sets* | Odds ratio (95% CI)
|
||
---|---|---|---|---|---|---|
Univariate† | Multivariate‡ | Multivariate§ | ||||
Helicobacter pylori: | ||||||
Positive | 27 | 18 | 225 | |||
Negative | 107 | 116 | 1691 | 1.6 (0.8 to 2.9) | 0.8 (0.3 to 2.2) | 1.3 (0.5 to 3.3) |
Father’s height (cm): | ||||||
<165 | 54 | 7 | 351 | |||
⩾165 | 80 | 127 | 476 | 12.7 (4.6 to 35.3) | 8.7 (2.8 to 27.6) | |
Mother’s height (cm): | ||||||
<155 | 69 | 13 | 762 | |||
⩾155 | 65 | 121 | 659 | 10.3 (4.5 to 23.9) | 8.0 (3.0 to 20.9) | |
Mean parental height (cm): | ||||||
<160 | 62 | 5 | 260 | |||
⩾160 | 72 | 129 | 369 | 20.0 (6.3 to 63.8) | 28.6 (7.3 to 112) | |
Parents’ education (years): | ||||||
<12 | 28 | 11 | 523 | |||
⩾12 | 106 | 123 | 6100 | 3.8 (1.6 to 9.4) | 2.1 (0.9 to 6.4) | |
Birth weight (g): | ||||||
<2850 | 38 | 17 | 731 | |||
⩾2850 | 96 | 117 | 1086 | 3.1 (1.5 to 6.3) | 9.6 (2.4 to 37.9) | |
Crowding index (subjects/room): | ||||||
⩾1 | 17 | 7 | 215 | |||
<1 | 117 | 127 | 5112 | 3.0 (1.1 to 8.2) | 6.9 (1.0 to 48.7) | |
Pets (No of types): | ||||||
>1 | 24 | 7 | 123 | |||
0-1 | 110 | 127 | 6104 | 3.8 (1.6 to 9.4) | 1.9 (0.6 to 5.9) |
Distribution of matched sets according to combination of exposure status (positive or negative) for each case and control.
McNemar’s test based on matched sets.
Conditional logistic regression model including terms for H pylori, father’s height, mother’s height, parental education, and presence of pets.
Conditional logistic regression model including terms for H pylori, mean parental height, birth weight, and crowding index.
Acknowledgments
Members of the study group were M Baldassarre (Bari), V Benigno (Palermo), E Braggion (Palermo), A Carlucci (Lanciano), G L de’Angelis (Parma), F De Luca (Messina), T Gentile (l’Aquila), G Guariso (Padua), L Iughetti (Florence), G Lauriola (Manfredonia), P Lionetti (Florence), A Liotta (Palermo), F Lizzoli (Pavia), R Longhi (Como), V Lucidi (Rome), A Masciale (Bitonto), M Pastore (San Giovanni Rotondo), A Pavanello (Pordenone), F Rea (Naples), C Romano (Messina), P Roggero (Milan), V Rutigliano (Bari), S Salardi (Bologna), M S Scotta (Varese), M Spina (Catania), A Tozzi (Naples).
Footnotes
Funding: None.
Conflict of interest: None.
References
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