Literature DB >> 28983401

Birth Weight as a Cardio Metabolic Risk Factor in Iranian Adolescents.

Hamidreza Badeli1, Hossein Dalili2, Afagh Hassanzadeh Rad2, Abdolreza Medghalchi3, Setila Dalili1, Shahin Koohmanaee1.   

Abstract

BACKGROUND: A large number of epidemiological studies from different geographical regions showed a considerable relationship between low birth weight (LBW) and adverse health effects later in life. This study aims to assess the birth weight (BW) as a cardio metabolic risk factor in Iranian adolescents.
METHODS: This cross-sectional study was conducted on 12-year-old students from different areas of Rasht, North Iran. Data were collected by a questionnaire including variables as birth height, BW, gestational age, blood pressure, and laboratory tests including triglycerides (TGs), total cholesterol, low-density lipoprotein-cholesterol (LDL-C), high-density lipoprotein-cholesterol (HDL-C), and insulin level. Data were analyzed using t-test, Chi-square, and Pearson correlation coefficient.
RESULTS: Overall, 858 adolescents participated in this study. Results showed significant correlation between BW and abdominal circumference, hip circumference, total cholesterol, TG, HDL-C and LDL-C (P = 0.064, 0.194, 0.224, 0.017, and 0.017, respectively).
CONCLUSIONS: The study findings on the correlation between BW and cardio metabolic factors might serve as confirmatory evidence on the association of LBW with future cardio metabolic disorders.

Entities:  

Keywords:  Birth weight; Iran; cardiometabolic; children; risk factor

Year:  2017        PMID: 28983401      PMCID: PMC5625358          DOI: 10.4103/ijpvm.IJPVM_48_16

Source DB:  PubMed          Journal:  Int J Prev Med        ISSN: 2008-7802


Introduction

The fetal origins of adult disease hypothesis belonged to the risk factors of intrauterine exposures. It affected the fetus development during sensitive periods and increased the risk of specific diseases in adulthood.[1] A large number of epidemiological studies from different geographical regions showed a considerable relationship between small size at birth and later health defects. Increased risk of developing a disease such as diabetes type 2 and coronary heart disease (CHD) are the common complications of small for gestational age.[234] Furthermore, Barker showed increased rates of hypertension and CHDs in thin or short at birth males and females with lower birth weights or with small placental sizes.[5] The low birth weight (LBW) hypothesis has received considerable support from the growing evidence that blood pressure in adult life inversely related to birth weight (BW).[6] Barker et al. also reported an association between X metabolic syndrome and LBW[7] which was inconsistent with the results mentioned by the previous study.[8] As considering the role of the family in changing nutritional habits is mandatory, it seems that parental education and changing their perceptions can also prevent diverse consequences.[9] The aim of the current study was to assess BW as a cardio metabolic risk factor in Iranian children.

Methods

Study design and participants

This cross-sectional study was conducted on 12-year-old students from different areas of Rasht, Northern Part of Iran. The expert physician examined junior level students. They were selected randomly by stratified proportionate to size sampling from 15 urban health centers. The study was approved by the university Ethical committee. Students were enrolled to the study after obtaining informed written consent from their parents.

Assessment of variables

Data were collected by a questionnaire which included birth height, BW, gestational age, and clinical examinations (height, weight, blood pressure, body mass index, and physical examination of organs). Similar scales were used in all centers and were calibrated daily. Furthermore, all patients referred to the same laboratory in Rasht and fasting blood sugar (FBS), cholesterol. Triglycerides (TGs), low-density lipoprotein (LDL), high-density lipoprotein (HDL), and insulin level (if FBS was higher than 100 mg/dl) were assessed. Children with abnormal laboratory findings were referred to physicians for further assessment.

Statistical analysis

Quantitative data were assessed by ANOVA and qualitative data were assessed by chi-square. Pearson correlation coefficient was used for quantitative data. Data analysis was conducted by SPSS software (Chicago, IL, version 19.0). The value of P < 0.05 was considered to be significant.

Results

Overall, 858 adolescents including 550 (64%) boys and 309 (34%) girls participated in this study. Table 1 shows mean values of anthropometric measures and laboratory findings according to their BW. In total, 2.8% of the students had systolic blood pressure (SBP) >95th and 12.6% of students had hyperglycemia.
Table 1

Demographic data and mean of glucose and lipid profile measurements

Demographic data and mean of glucose and lipid profile measurements The prevalence of cardio metabolic criteria based on BW showed that macrosomic children encountered with higher prevalence of cardio metabolic abnormalities except for HDL, cholesterol and TG in comparison with other groups [Table 2].
Table 2

Prevalence of cardio metabolic criteria based on birth weight

Prevalence of cardio metabolic criteria based on birth weight Results showed no significant correlation between FBS and total cholesterol, TG, and LDL [Table 3].
Table 3

Correlation between birth weights and cardio metabolic risk factors

Correlation between birth weights and cardio metabolic risk factors

Discussion

The results of this study showed a positive relationship between different children's BW indicators and obesity at school aged children. In which, children with higher BW were more likely to be obese than other children (P = 0.007) these results were consistent with the findings reported by Loaiza et al.[10] Mardones et al.,[11] and with other studies.[1213] They found higher relation between macrosomia in children and obesity at school. Therefore, it seems that identifying macrosomic children and applying preventive interventions could be recommended to decrease later obesity. By correct measuring of blood pressure which is mandatory in childhood,[14] there was a significant association between high BW and SBP and diastolic blood pressure (DBP). These results were opposite with the findings reported recently by Mori et al.[15] They found a significant association between LBW with risk factors of metabolic syndrome such as SBP and DBP in healthy Japanese high school girls. However, Hemachandra et al. mentioned that each 1-kg increase in BW could induce 2.19 and 1.82 folds increase in high SBP and DBP, respectively.[16] According to previous investigations, increased trend of weight and body mass index were associated with higher blood pressure and its consequences.[1718] In this study, we did not document a considerable association between lipid profile (except HDL) and BW. This result was inconsistent with Mori et al.[15] They found a significant association between LBW with hypertriglyceridemia in healthy Japanese high school girls. However, it was consistent with the part of findings reported recently by Byberg et al. They found that BW did not relate (P > 0.10) with waist circumference, serum TGs, or HDL-cholesterol (HDL-C). This relation regarding HDL was against our results. Our results showed a significant relation between low HDL and macrosomia. However, Evagelidou et al. reported higher HDL-C levels (P < 0.01), in large for gestational age compared with the appropriate for gestational age individuals.[19] Previous studies showed that LBW is associated with increased risk for type 2 diabetes[234] but no population-based study has reported an association until now. It has been hypothesized that inadequate nutrition during gestation results in later-life resistance to insulin-stimulated glucose uptake but does not affect insulin secretion. Norris et al. found lower BW and accelerated weight gain after 48 months as risk factors for adult glucose intolerance. Accelerated weight gain between 0 and 24 months did not predict glucose intolerance but can predict higher insulin resistance.[20] Although in our study impaired fasting glucose in macrosomia was higher than LBW, our finding regarding weight gain and insulin level was incomplete. According to results, it seems that further screening of cardiometabolic risk factors in patients with LBW can be recommended.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.
  20 in total

1.  Is blood pressure inversely related to birth weight? The strength of evidence from a systematic review of the literature.

Authors:  C M Law; A W Shiell
Journal:  J Hypertens       Date:  1996-08       Impact factor: 4.844

2.  Parental Anthropometric Indices and Obesity in Children.

Authors:  Shahin Koomanaee; Manijeh Tabrizi; Novin Naderi; Afagh Hassanzadeh Rad; Kobra Boloky Moghaddam; Setila Dalili
Journal:  Acta Med Iran       Date:  2016-04

3.  Prevalence of Hypertension and Obesity-related Hypertension in Urban School-aged Children in Rasht.

Authors:  Hamidreza Badeli; Amir Hassankhani; Zahra Naeemi; Sahar Hosseinzadeh; Shima Mehrabi; Motahhareh Pourkarimi; Sajjad Hosseini; Pourya Rahbar Nikoukar; Reza Nezamdoust; Alireza Rahimi; Asemeh Pourrajabi
Journal:  Iran J Kidney Dis       Date:  2016-11       Impact factor: 0.892

4.  Small for gestational age and higher birth weight predict childhood obesity in preterm infants.

Authors:  Ronnesia B Gaskins; Linda L LaGasse; Jing Liu; Seetha Shankaran; Barry M Lester; Henrietta S Bada; Charles R Bauer; Abhik Das; Rosemary D Higgins; Mary Roberts
Journal:  Am J Perinatol       Date:  2010-04-20       Impact factor: 1.862

5.  Cardio-metabolic risk factors in Iranian children: where we are and the others?

Authors:  Setila Dalili; Seyed Mahmood Rezvani; Hossein Dalili; Zahra Mohtasham Amiri; Hamid Mohammadi; Abdolreza Medghalchi; Mohamad Hossein Novin; Hajar Gholamnezhad
Journal:  Acta Med Iran       Date:  2014

6.  Studies of blood pressure in Tecumseh, Michigan. I. Blood pressure in young people and its relationship to personal and familial characteristics and complications of pregnancy in mothers.

Authors:  M Higgins; J Keller; F Moore; L Ostrander; H Metzner; L Stock
Journal:  Am J Epidemiol       Date:  1980-02       Impact factor: 4.897

7.  The relationship between blood pressure, anthropometric indices and metabolic profile in adolescents: a cross sectional study.

Authors:  Setila Dalili; Hamid Mohammadi; Seyed Mahmood Rezvany; Arsalan Dadashi; Mohammad Hassan Novin; Hajar Gholaminejad; Abdolreza Medghalchi; Zahra Mohtasham Amiri; Hossein Dalili; Afagh Hassanzadeh Rad
Journal:  Indian J Pediatr       Date:  2014-09-25       Impact factor: 1.967

8.  Association of perinatal factors and obesity in 6- to 8-year-old Chilean children.

Authors:  Francisco Mardones; Luis Villarroel; Lorena Karzulovic; Salesa Barja; Pilar Arnaiz; Marcela Taibo; Francisco Mardones-Restat
Journal:  Int J Epidemiol       Date:  2008-08       Impact factor: 7.196

9.  Birth weight, postnatal growth, and risk for high blood pressure at 7 years of age: results from the Collaborative Perinatal Project.

Authors:  Anusha H Hemachandra; Penelope P Howards; Susan L Furth; Mark A Klebanoff
Journal:  Pediatrics       Date:  2007-06       Impact factor: 7.124

10.  Patterns of growth among children who later develop type 2 diabetes or its risk factors.

Authors:  J G Eriksson; C Osmond; E Kajantie; T J Forsén; D J P Barker
Journal:  Diabetologia       Date:  2006-10-03       Impact factor: 10.122

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