Diet and uterine myomas

Diet and uterine myomas

Diet and Uterine Myomas FRANCESCA CHIAFFARINO, LILIANE CHATENOUD, SILVIA MARSICO, ScD, FABIO PARAZZINI, ScD, ELISABETTA DI CINTIO, ScD, AND MD ...

439KB Sizes 0 Downloads 132 Views

Diet and Uterine Myomas FRANCESCA

CHIAFFARINO,

LILIANE CHATENOUD, SILVIA MARSICO,

ScD, FABIO PARAZZINI,

ScD, ELISABETTA

DI CINTIO, ScD, AND

MD

Objective: To analyze the relation between selected dietary indicators and the risk of uterine myomas. Methods: We used data from a case-control study on risk factors for uterine myomas conducted in Italy between 1986 and 1997. Cases included 843 women with uterine myomas whose clinical diagnoses dated back no more than 2 years. Controls were 1557 women younger than age 55 who had not had hysterectomies and were admitted for acute nongynecologic, nonhormonal, nonneoplastic conditions. Results: Women with uterine myomas reported more frequent consumption of beef, other red meat, and ham and less frequent consumption of green vegetables, fruit, and fish. The multivariate odds ratios in the upper tertile were 1.7 for beef and other red meat (95% confidence interval [CII 1.4,2.2), 1.3 for ham (95% CI 1.0,1.61,0.5 for green vegetables (95% CI 0.4,0.61, and 0.8 for fruit consumption (95% CI 0.6, 1.0). Conclusion: Myoma is associated with beef and ham consumption, whereas high intake of green vegetables seems to have a protective effect. (Obstet Gynecol 1999;94: 395-8. 0 1999 by The American College of Obstetricians and Gynecologists.)

Myomas are a common, benign, hormone-dependent gynecologic condition. It has been suggested that unopposed estrogen may increase the risk of myomas.’ Thus, any factor that reduces endogenous estrogen levels and increases progesterone levels may reduce the risk of uterine myomas. For example, pregnancy and oral contraceptive (OC) use decrease the risk of myomas.‘,’ Diet has been associated with estrogen levels. Protection against breast and endometrial cancers by vegetable and fruit intake may be mediated by isoflavonoids, which have moderate estrogenic activity and may therefore compete with other endogenous estrogens.3 A study of postmenopausal women showed that vegetarians had lower urinary levels of estriol and total estrogens, lower plasma prolactin levels, and higher plasma levels of sex hormone-binding globulin.” Another study From the Istituto di Ricer& Fnrmacologichr “Mario Negri,” Milntl; and the Prima Chica Ostetrico Ginecologica and Istituto di Statistica Medica e Biomefuia, University of Milan, Milan, Italy.

VOL. 94, NO. 3, SEPTEMBER

MD, CARLO LA VECCHIA, MD,

1999

of premenopausal women in the United States showed that vegetarian women had 15-20% lower plasma estrogen levels than omnivores of the same age.5,6 Little is known about the potential effect of diet on the risk of uterine myomas. To explore the potential association between diet and myoma risk, we considered data on selected food intake collected in an Italian case-control study.

Materials and Methods Our data came from an ongoing case-control study of uterine myomas conducted in Milan, Italy.2,7 Cases included 843 women aged 54 years or less (median age 43 years, range 21-54) with histologically confirmed uterine myomas, whose clinical diagnoses dated back no more than 2 years. They were admitted to the obstetrics and gynecology clinics of the University of Milan. Indications for surgery were recurrent menorrhagia or echographic evidence of myomas larger than 10 cm in diameter. We collected data during their hospital stays. Controls were 1557 women aged 54 years or less with comparable quinquennia of age as the cases (median age 43 years, range 2154) who had not had hysterectomies and were admitted for acute nongynecologic, nonhormonal, nonneoplastic conditions to a network of hospitals with comparable catchment areas. Of these, 30% were admitted for traumatic conditions, 28% had nontraumatic orthopedic disorders, 18% had surgical conditions, 10% had eye disorders, and 14% had other miscellaneous illnesses such as ear, nose, and throat or dental disorders. We excluded controls if they had a confirmed or suspected history of uterine myomas. Trained interviewers identified the cases and controls. A standard questionnaire was used to collect sociodemographic characteristics and habits; related medical history; gynecologic and obstetric data, including numbers of births, miscarriages, and induced abortions; and history of lifetime use of OCs and other female hormones. Women who reported cessation of

0029.7844/99/$20.00 PI1 soo29-7844(99)00305-l

395

menstrual cycles in the year of the interview were defined as postmenopausal. Subjects were also asked about frequency of consumption per week of selected dietary items (including the major sources of retinoids and carotenoids in the Italian diet), as well as alcohol and coffee drinking in the year before interview. Subjective scores (low, intermediate, and high) were used to collect information on fat intake (butter, margarine, and oil) and consumption of whole-grain foods. Reproducibility of the questionnaire was satisfactory. 8,9 Less than 2% of the cases and controls refused to be interviewed. The present report is based on data collected until June 1997. The cutoffs for the analysis of dietary factors were based on the best possible approximation of tertiles. An estimate of the total daily average alcohol intake was derived assuming a comparable ethanol content in each type of beverage (125 mL wine = 333 mL beer = 40 mL spirits = 15 g pure alcohol). Wine accounted for more than 90% of the alcohol consumed by women in this population. To account simultaneously for the effects of several potential confounding factors, we performed unconditional multiple logistic regression with maximum likelihood fitting to obtain the odds ratios (ORs) of uterine myomas, their corresponding 95% confidence intervals (CIs), and test for trend when appropriate.” The regression equations included terms for age, education, menopausal status, marital status, body mass index (BMI), parity, smoking, calendar year at interview, and the various food items considered, unless otherwise specified. Intake frequency was introduced also as a continuous variable. The models with the continuous coefficient give an estimate of the OR relative to an increase of one average serving per day.

Results Table 1 presents the distribution of cases and controls and the corresponding ORs according to selected characteristics. Women with uterine myomas were more educated, more frequently premenopausal, and less frequently smokers than controls. The risk of myomas was lower in parous than in nulliparous women, and the risk decreased with parity. No clear association emerged between BMI and the risk of myomas. The average weekly frequencies of consumption of selected dietary items and the corresponding ORs of uterine myomas are reported in Table 2. Consumption of milk, liver, carrots, eggs, cheese, whole-grain foods, butter, margarine, and oil was not associated with uterine myomas. No association emerged between uterine myoma risk and the intake of coffee, tea, or total alcohol consumption. Women with uterine myomas reported more frequent consumption of beef, other red meat, and ham and

396 Chiaffarino et al

Diet and Uterine Myomas

Table 1. Demographic Characteristics of 843 Women With Uterine Myomas and 1557 Controls Characteristic

Cases

Age (Y) 535

36-45 46-54

Education (y) <7 7-11 212 2, trend Menopausal status Premenopausal Postmenopausal BMI (kg/&) 120.5 20.5-22.1 22.2-23.9 224 Smoking habits Never Ever Parity 0 1 2 ;t

trend

Controls

155 (18.4%) 373 (44.2%) 315 (37.4%)

365 (23.4%)

250 (29.7%) 296 (35.1%) 297 (35.2%)

685 (44.0%) 461 (29.6%) 411 (26.4%)

791 (93.8%) 49 (5.8%)

1106 (71.0%) 451 (29.0%)

564 (36.2%)

628 (40.3%)

156 (18.5%) 201 (23.8%) 178 (21.1%) 307 (36.4%)

360 304 294 592

546 (64.8%)

297 (35.2%)

919 (59.0%) 638 (41.0%)

259 196 283 105

377 (24.2%) 366 (23.5%) 539 (34.6%) 275 (17.7%)

(30.7%) (23.3%) (33.6%) (12.5%)

OR (95% CI)

(23.1%) (19.5%) (18.9%) (38.0%)

1’ 1.5 (1.2,1.9) 1.7 (1.3,2.2) 19.3 (P i .OOl) 1’ 0.1 (0.06,O.l) 1* 1.5 (1.1,1.9) 1.3 (1.0,1.8) 1.1 (0.9,1.5) 1* 0.7 (0.6, 0.8)

0.7 0.7 0.5 18.4

1* (0.5,0.9) (0.5,0.9) (0.4,0.7) (P < ,001)

OR = odds ratio adjusted for age and calendar year at interview; CI = confidence interval; BMI = body mass index. * Reference category.

less frequent consumption of green vegetables, fruit, and fish. The multivariate ORs in the upper tertiles were 1.7 (95% CI 1.4, 2.2) for beef and other red meat, 1.3 (95% CI 1.0,1.6) for ham, 0.5 (95% CI 0.4,0.6) for green vegetables, and 0.8 (95% CI 0.6, 1.0) for fruit. The protective effect of fruit appeared weaker than that of vegetables. An inverse trend in myoma risk was observed also for fish consumption; the OR for the highest versus least frequent intake was 0.7 (95% CI 0.6, 0.9). All of the food groups associated with uterine myomas in Table 2 were included in a multiple logistic regression equation to allow for a mutual confounding effect. For the highest level of consumption, the association of beef and other red meat (OR 1.8; 95% CI 1.4,2.3), ham (OR 1.2; 95% CI 1.0, 1.5), and green vegetables (OR 0.5; 95% CI 0.4, 0.7) with myoma risk was confirmed. The ORs for an increase of one serving per day in these food groups associated with myoma risk are shown in Table 3. The ORs were 1.8 for beef and red meat consumption, 1.9 for ham, and 0.6 for green vegetables.

Discussion We found a moderate association between the risk of uterine myomas and the consumption of beef, other red

Obstetrics & Gynecology

Table 2. Myomas and Selected Foods Frequency of consumption (no. of cases/no. of controls)*

Odds ratio estimates’ (95% CI)

1’ (Low)

2 (Intermediate)

3 (High)

1*

2

3

,$ (Trend)

Milk

140/293

284/508

419/756

1

322/578

241/544

280/435

1

1.2 (1.0, 1.6) 1.7 (1.4‘2.2)

2.9

Beef and other red meat Liver

395/659

446/897’

Carrots

140/234

415/769

286/554

1

Green vegetables

205/340

402/622

235/595

1

Fresh fruit

130/231

263/391

449/935

1

Eggs

200/368

529/885

1131294

1

Ham

299/567

229/460

315/530

1

Fish

339/549

292/620

211/387

1

Cheese

398/607

207/460

236/489

1

Whole-grain foods

600/1051

119/290

124/216

1

Butter

611/1028

206/461

26/68

1

Margarine

765/1333

Oil

121/194

620/1X4

102/199

1

Coffee

2781499

250/407

315/651

1

Tea

699/1272

144/285”

404/673

190/390

1.1 (0.9, 1.5) 0.8 (0.7‘1.0) 1.1 (0.9, 1.3) 0.9 (0.7,l.l) 0.9 (0.7,1.2) 1.0 (0.8,1.4) 1.0 (0.8, 1.2) 1.0 (0.8, 1.2) 0.7 (0.5,0.8) 0.7 (0.6,0.9) 0.8 (0.6, 1.1) 0.9 (0.7,l.l) 0.8 (0.6,l.l) 0.7 (0.5,l.O) 1.1 (0.8, 1.4) 1.0 (0.8, 1.4) 0.8 (0.6,l.l)

Food item

Total alcohol intakeq

1

1

78/223#

1 249f 494

1

17.15 0.4

0.9 (0.7, 1.2) 0.5 (0.4,0.6) 0.8 (0.6,l.O) 0.7 (0.5,l.O) 1.3 (1.0, 1.6) 0.7 (0.6,0.9) 1.0 (0.8,1.2) 0.9 (0.7,1.2) 0.8 (0.5,1.4)

0.4 30.2” 6.0” 2.9 3.9” 7.7” 0.1 1.9 0.5 3.6

0.7 (0.5,l.l) 0.8 (0.6,l.O)

2.4 3.7 0.1

1.0 (0.8,1.3)

0.0

CI = confidence interval. * For some items, the sum of strata does not add to the total because of missing values. +Multiple logistic regression estimates including terms for age, education, marital status, menopausal status, parity, body mass index, smoking habits, and calendar year at interview. * Reference category. BP = ,001. ” P < .05. s Drinks per day. See methods section for definition. ’ Including intermediate and high frequency of consumption.

meat, and ham, whereas a high intake of green vegetables seems to have a protective effect. A limitation of this study is that we collected information only on the frequency of intake, with no quantitative estimate of portion size, of a few indication foods. Therefore, no estimate of the total caloric intake could be obtained.‘* However, we were unable to explain the results in term of obvious information bias because the possible relation between diet and uterine myomas was unknown to the interviewers and probably to most of the subjects interviewed. Further, a specific attempt was made to

VOL. 94, NO. 3, SEPTEMBER

1999

collect dietary information before the first diagnosis of myomas. A major effect of selection bias is unlikely because we excluded from the control group women admitted to the hospital for chronic conditions and for any digestive-tract diseases that could have produced long-term modification of the diet. Control subjects were asked specifically about their history of myomas and were excluded if they had a confirmed or possible history of the disease. Control subjects did not undergo ultrasound examinations, which can be considered a limitation of the

Chiaffarino et al

Diet and Uterine Myomas

397

Table 3. Odds Ratios and Corresponding 95% Confidence Intervals for an Intake Increase of One Serving of Selected Food Groups per Day Odds ratio* (95% CI)

Food group Beef and other red meat Green vegetables Fruit Ham

1.8 0.6 0.9 1.9

(1.3, 2.4) (0.5, 0.8) (0.8,l.O) (1.3,2.9)

CI = confidence interval. * Derived from multiple logistic regression equation including terms for age, education, marital status, menopausal status, parity, body mass index, smoking habits, and calendar year at interview, plus the above listed variables.

study,

but this potential

misclassification

could

only underestimate

any difference

cases and controls.

mechanism between

the

The choice of other control groups,

such as a group of women who had hysterectomies for indications other than uterine myomas, could be criticized also because the controls would be a selected group and would have conditions with potentially similar etiologic correlates. With reference to confounding, socioeconomic status, measurement of body weight, and reproductive and hormonal correlates of uterine myomas did not explain the results. The intake of green vegetables, fruit, and fish may be a general indicator of more health-oriented attitudes toward diet and other lifestyle habits. However, greater attention to health may also favor the diagnosis of myomas, producing an underestimate of the real association. Social determinants of gynecologic surgery also are well recognized. Surgery for myomas or other benign neoplastic conditions, such as benign breast disease and ovarian cysts, is more frequent in more educated women of higher social classes12 and may reflect the greater attention that better-educated women pay to relatively minor health problems. Hormonal factors are a potential link between diet and uterine myomas because the risk may be increased by exposure to unopposed estr0gen.l Along this line of reasoning, ever smoking, which has been associated with lower concentrations of estradiol,‘” was inversely related to the risk of myomas.14 The association between levels of estrogen, diet, and breast and endometrial cancers15’16 also may help us understand the effect of dietary factors on the risk of uterine myomas. For breast and endometrial cancers, a direct association with the frequency of consumption of meat and ham was observed in this Italian population, whereas protection was conferred by high intake of vegetables and fruits.‘6,‘7 Thus, a number of dietary indicators or correlates seem to be shared by breast and endometrial cancers and uterine myomas.

398

Chiaffarino et al

Diet and Uterine Myomas

References 1. Ross RK, Pike MC, Vessey MI’, Bull D, Yeates D, Casagrande JT. Risk factors for uterine myomas: Reduced risk associated with oral contraceptives. BMJ 1986;293:359-62. 2. Parazzini F, La Vecchia C, Negri E, Cecchetti G, Fedele L. Epidemiologic characteristics of women with uterine myomas: A casecontrol study. Obstet Gynecol 1988;72:853-7. 3. Adlercreutz H, Mazur W. Phyto-oestrogens and Western diseases. Ann Med 1997;29:95-120. 4. Armstrong BK, Brow JB, Clarke HT, Crooke DK, Hahnel R, Masarei JR, et al. Diet and reproductive hormones: A study of vegetarian and nonvegetarian postmenopausal women. J Nat1 Cancer Inst 1981;67:761-7. 5. Goldin BR, Adlercreutz H, Gorbach SL, Warram JH, Dwyer JT, Swenson L, et al. Estrogen excretion patterns and plasma levels in vegetarian and omnivorous women. N Engl J Med 1982;307:1542-7. 6. Gorbach SL, Goldin BR. Diet and the excretion and enterohepatic cycling of estrogens. Prev Med 1987;16:525-31. 7. I’arazzini F, Negri E, La Vecchia C, Chatenoud L, Ricci E, Guarnerio P. Reproductive factors and risk of uterine fibroids. Epidemiology 1996;7:440-2. 8. La Vecchia C, Decarli A, Franceschi S, Gentile A, Negri E, Parazzini F. Dietary factors and the risk of breast cancer. Nutr Cancer 1987;10:205-14. 9. D’Avanzo B, La Vecchia C, Katsouyanni K, Negri E, Trichopoulos D. An assessment, and reproducibility of food frequency data provided by hospital controls. Eur J Cancer Prev 1997;6:288-93. 10. Baker RJ, Nelder JA. The GLIM system. Release 3. Oxford: Numerical Algorithms Group, 1978. 11. Willett W, Stampfer MJ. Total energy intake: Implications for epidemiologic analyses. Am J Epidemiol 1986;124:17-27. 12. Parazzini F, La Vecchia C, Negri E, Tozzi L. Determinants of hysterectomy and oophorectomy in Northern Italy. Rev Epidemiol Sante Publique 1993;41:480-6. 13 Baron JA, La Vecchia C, Levi F. The antiestrogenic effect of cigarette smoking in women. Am J Obstet Gynecol 1990;162:502-14. 14 Parazzini F, Negri E, La Vecchia C, Rabaiotti M, Luchini L, Villa A, et al. Uterine myomas and smoking. Results from an Italian study. J Reprod Med 1996;41:316-20. 15 Armstrong BK. Diet and hormones in the epidemiology of breast and endometrial cancers. Nutr Cancer 1979;1:90-5. 16. Frances&i S, Favero A, La Vecchia C, Negri E, Dal Maso L, Salvini S, et al. Influence of food groups and food diversity on breast cancer risk in Italy. Int J Cancer 1995;63:785-9. 17. Levi F, Franceschi S, Negri E, La Vecchia C. Dietary factors and the risk of endometrial cancer. Cancer 1993;71:3575-81.

Address reprint requests to: Fabio lstifufo

Parazzini,

MD

di Xicerche Farrnacologiche

“Mario Negri”

via Eritrea, 62 20157 Milan0 ltaly E-mail: [email protected]

Received November 17, 1998. Received in revised forwl February Accepted February 24, 1999.

12, 1999

Copyright 0 1999 by The American College of Obstetricians Gynecologists. Published by Elsevier Science Inc.

Obstetrics

and

& Gynecology