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Body Mass Index in women with leiomyomas: a study in Italian population

Neri A

Department of Biomedicine and Prevention, University of Rome, Tor Vergata, Rome, Italy

Gloria-Bottini F

Department of Biomedicine and Prevention, University of Rome, Tor Vergata, Rome, Italy

Coppeta L

Department of Biomedicine and Prevention, University of Rome, Tor Vergata, Rome, Italy

Magrini A

Department of Biomedicine and Prevention, University of Rome, Tor Vergata, Rome, Italy

Bottini E

Department of Biomedicine and Prevention, University of Rome, Tor Vergata, Rome, Italy

E-mail : gloria@med.uniroma2.it

DOI: 10.15761/FWH.1000103

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Abstract

A positive association between obesity and uterine leiomyomas has been reported in several polulations. In the present note we have carried a study of Body Mass Index distribution in a sample of women with leiomyomas from the population of Rome.

We studied 209 women with leiomyomas requiring surgical intervention and 137 women of comparable age without clinical signs of leiomyomas as controls.

The proportion of both overweight and obese subjects is much higher in women with leiomyomas than in controls. Age and blood glucose level have shown a positive correlation with Body Mass Index.

The positive association between leiomyomas and obesity is confirmed in our population.

Key words

 leiomyomas, obesity, italian population

Introduction

A positive association between obesity and uterine leiomyomas has been reported in several polulations [1-4]. Experimental observations suggest that adipocytes enhance leiomyomas predisposition via INF-α-proinflammatory cytokine [5].

In the present note we report a study of Body Mass Index  (BMI) distribution in a sample of women with leiomyomas requiring surgical intervention and in a sample of women of comparable age without clinical signs of the tumor.

Material and methods

Two hundred nine women with leiomyomas requiring surgical intervention and 137 women of comparable age without clinical signs of leiomyomas have been studied in the population of Rome.

Informed consent was obtained by these women to partecipate to the study that was approved by the Council of Department. The study was performed a few years ago before the istitution of an Ethical Committee.

Statistical analyses  were performed by commercial software (SPSS).

Results

Table 1 shows demographic and clinical data of the sample study.

Table 1: Demographic and clinical data of the sample study.

Parameter

Mean

Standard Error

Proportion %

Age (years)

43.02

0.64

Weight (kg)

67.54

0.86

Height (cm)

161.95

0.43

Smoker

25.9%

Intramural

19.7%

Subserosal

77.0%

Intramural and subserosal

3.2%

Pain

71.4%

Bleeding

85.5&

In table 2 the BMI distribution  of women with leiomyomas is compared with that of a sample of healthy subjects  from the same population and of comparable age. The proportion of both overweight and obese subjects in women with leiomyomas is much higher than that in controls.

Table 2: Body mass index distribution in women with leiomyomas and in controls.

                            BMI

≤ 25

25-30

>30

Women with leiomyomas

96

85

28

Controls

99

27

11

 Chi square test of independence             

                         Χ2                df                  p

                     23.528             1                6.8x10-6

An analysis of  relationship of BMI has been performed with the following variables: smoking, allergy, degree of instruction, treatment with estroprogestinics, localization, dimension of leiomyomas, age, blood glucose level, number of pregnancies, number of abortion. Age and blood glucose only have shown a positive correlation (p<0.01) with BMI. A Principal Component Analysis has confirmed such association: BMI,age and blood glucose only contribute significantly to the most important component (data not shown).

Table 3 analyzes in more details  the relationship of BMI with blood glucose and age: age and blood glucose are progressively increasing with the increase  of BMI. In women with leiomyomas the pattern is similar to that observed in controls.

Table 3: The relationship of BMI with blood glucose level and age in women with leiomyomas and in controls.

Blood glucose level

Controls

Age (years)

Controls

Mean

S.D.

Mean

S.D.

Mean

S.D.

Mean

S.D.

BMI

≤25

90.26

13.53

88.23

7.71

41.20

9.30

36.21

9.35

25-30

97.25

17.09

94.44

9.99

43.12

9.64

43.04

9-85

>30

108.00

30.19

100.91

21.22

47.68

7.73

46.64

12.60

Variance analysis

Linear correlation

P=0.013

P^0.003

P=0.000

P=0.000

P=0.005

P=0.002

P=0.000

P=0.000

Discussion

The positive association between obesity and leiomyomas is confirmed in Italian population: obesity and overweight seem to predispose to clinical manifestations of the tumor requiring surgical intervention. Among the variables examined blood glucose level and age are correlated with BMI, however, the pattern of  correlation observed  in women with leiomyiomas is similar to that observed in controls.

References

  1. Sato F, Nishi M, Kudo R, Miyake H (1998) Body fat distribution and uterine leiomyomas.J Epidemiol8:176-180. [Crossref]
  2. Okoronkwo MO (1999) Body weight and uterine leiomyomas among women in Nigeria.West Afr J Med18:52-54. [Crossref]
  3. Yang Y, He Y, Zeng Q, Li S  (2014) Association of body size and body fat distribution with uterine fibroids among Chinese women. J Womens Health (Larchmt)23:619-626. [Crossref]
  4. Segars JH, Parrott EC, Nagel JD, Guo XC, Gao X, et al.(2014) Proceedings from the Third National Institutes of Health International Congress on Advances in Uterine Leiomyoma Research: comprehensive review, conference summary and future recommendations.Hum Reprod Update20:309-333. [Crossref]
  5. Nair S, Al-Hendy A (2011) Adipocytes enhance the proliferation of human leiomyoma cells via TNF-α proinflammatory cytokine.Reprod Sci18:1186-1192.[Crossref]

Editorial Information

Editor-in-Chief

Article Type

Mini Review

Publication history

Received date: January 10, 2016
Accepted date: February 19, 2016
Published date:February 22, 2016

Copyright

©2016 Neri A. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Citation

Neri A, Coppeta LM, Bottini E (2016) Body mass index in women with leiomyomas: a study in italian population. Front Womens Health 1: DOI: 10.15761/FWH.1000103

Corresponding author

Fulvia Gloria-Bottini

Department of Biomedicine and Prevention, University of Tor Vergata, Via Montpellier,1, 00133 Rome, Italy, Tel: +39 06 30889514

E-mail : gloria@med.uniroma2.it

Table 1: Demographic and clinical data of the sample study.

Parameter

Mean

Standard Error

Proportion %

Age (years)

43.02

0.64

Weight (kg)

67.54

0.86

Height (cm)

161.95

0.43

Smoker

25.9%

Intramural

19.7%

Subserosal

77.0%

Intramural and subserosal

3.2%

Pain

71.4%

Bleeding

85.5&

Table 2: Body mass index distribution in women with leiomyomas and in controls.

                            BMI

≤ 25

25-30

>30

Women with leiomyomas

96

85

28

Controls

99

27

11

 Chi square test of independence             

                         Χ2                df                  p

                     23.528             1                6.8x10-6

Table 3: The relationship of BMI with blood glucose level and age in women with leiomyomas and in controls.

Blood glucose level

Controls

Age (years)

Controls

Mean

S.D.

Mean

S.D.

Mean

S.D.

Mean

S.D.

BMI

≤25

90.26

13.53

88.23

7.71

41.20

9.30

36.21

9.35

25-30

97.25

17.09

94.44

9.99

43.12

9.64

43.04

9-85

>30

108.00

30.19

100.91

21.22

47.68

7.73

46.64

12.60

Variance analysis

Linear correlation

P=0.013

P^0.003

P=0.000

P=0.000

P=0.005

P=0.002

P=0.000

P=0.000