Hostname: page-component-6898cfcb55-w5hgh Total loading time: 0 Render date: 2026-11-11T08:20:02.745Z Has data issue: false hasContentIssue false

FACTORS ASSOCIATED WITH CHILDREN’S HEIGHT AND BODY MASS INDEX IN LITHUANIA, 1990–2008

Published online by Cambridge University Press:  13 July 2015

Andrej Suchomlinov*
Affiliation:
Department of Anatomy, Histology and Anthropology, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
Janina Tutkuviene
Affiliation:
Department of Anatomy, Histology and Anthropology, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
*
1 Corresponding author. Email: andrej.suchomlinov@mf.vu.lt
Rights & Permissions [Opens in a new window]

Summary

The aim of the study was to reveal the ethnic and socioeconomic factors associated with height and body mass index (BMI) of children during the period of political and social transition in Lithuania in 1990–2008. Data were derived from the personal health records of 1491 children (762 boys and 729 girls) born in 1990 in Vilnius city and region. Height and BMI from birth up to the age of 18 years were investigated. Children were divided into groups according to their ethnicity, place of residence, father’s and mother’s occupation and birth order. Height and BMI were compared between the groups; a Bonferroni correction was applied. A multiple linear regression model was used to measure the effects of the independent variables on height and BMI. Girls living in Vilnius city were significantly taller in later life at the ages of 8 and 11 years. Sons of mothers employed as office workers appeared to be significantly taller at the ages of 7, 12, 14 and 15 years compared with the sons of labourers. First-born girls were taller at the age of 7 years than later-born girls of the same age (124.48±5.11 cm and 122.92±5.14 cm, respectively, p<0.001). Later-born children of both sexes had higher BMIs at birth compared with first-borns; however, first-born girls had higher BMIs at the age of 11 years compared with their later-born peers (17.78±2.87 kg/m² and 16.79±2.14 kg/m² respectively, p<0.001). In the multiple linear regression model, the five tested independent variables explained only up to 18% of total variability. Boys were more sensitive to ethnic and socioeconomic factors: ethnicity appeared to be a significant predictor of boys’ height at the age of 5 years (p<0.001), while birth order (p<0.001) predicted boys’ BMI at birth. In general, ethnicity, place of residence, father’s and mother’s occupation and birth order were not associated with children’s height and BMI in most age groups.

Information

Type
Research Article
Copyright
Copyright © Cambridge University Press, 2015 
Figure 0

Table 1The effects of independent variables on boys’ height, Lithuania, 1990–2008

Figure 1

Table 2The effects of independent variables on boys’ BMI, Lithuania, 1990–2008

Figure 2

Table 3The effects of independent variables on girls’ height, Lithuania, 1990–2008

Figure 3

Table 4The effects of independent variables on girls’ BMI, Lithuania, 1990–2008

Figure 4

Table A1Descriptive statistics of height (cm) during growth by ethnicity

Figure 5

Table A2Descriptive statistics of BMI during growth by ethnicity

Figure 6

Table A3Descriptive statistics of height (cm) during growth by place of residence

Figure 7

Table A4Descriptive statistics of BMI during growth by place of residence

Figure 8

Table A5Descriptive statistics of height (cm) during growth by father’s occupation

Figure 9

Table A6Descriptive statistics of BMI during growth by father’s occupation

Figure 10

Table A7Descriptive statistics of height (cm) during growth by mother’s occupation

Figure 11

Table A8Descriptive statistics of BMI during growth by mother’s occupation

Figure 12

Table A9Descriptive statistics of height (cm) during growth by birth order

Figure 13

Table A10Descriptive statistics of BMI during growth by birth order