Fruit and vegetable consumption and risk of cholecystectomy: a prospective cohort study of women and men
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Abstract
Purpose
Epidemiologic data on whether consumption of fruit and vegetables (FVs) decreases the risk of gallstone disease are sparse. Therefore, we examined the association between FV consumption and the 14-year risk of symptomatic gallstone disease (defined as occurrence of cholecystectomy) in a large group of middle-aged and elderly persons.
Methods
Data from two population-based cohorts were used, which included 74,554 men and women (born 1914–1952). Participants filled in a food frequency questionnaire in the late fall of 1997 and were followed up for cholecystectomy between 1998 and 2011 via linkage to the Swedish Patient Register. Cox regression models were used to obtain hazard ratios (HRs).
Results
During 939,715 person-years of follow-up, 2120 participants underwent a cholecystectomy (1120 women and 1000 men). An inverse association between FV consumption and risk of cholecystectomy was observed in age- and sex-adjusted analyses (P trend = .036) but not in confounder-adjusted analyses (P trend = .43). The multivariable-adjusted HR was 0.95 (95 % CI 0.83–1.08) for the highest compared with the lowest sex-specific quartile of FV consumption. There was no evidence of interactions with age (P = .25) or sex (P = .72) in analyses pooled by sex. However, an age-by-FV consumption interaction was observed in separate analyses of women (P = .010), with decreased HRs of cholecystectomy for ages up to 60 years.
Conclusions
This study supports an inverse association between FV consumption and risk cholecystectomy in women, although the association was restricted to women aged 48–60 years. In contrast, the study does not support an association in men.
Keywords
Fruit consumption Vegetable consumption Gallbladder disease Cohort studyIntroduction
In order to improve health and longevity, a high consumption of fruit and vegetables (FVs) is recommended as part of a healthy diet [1]. While a variety of chronic diseases have been studied with regard to FV consumption up to a meta-analysis level, such as type 2 diabetes [2], cardiovascular disease [3], and cancer [4, 5, 6]; its association with gallstone disease has seldom been studied, particularly in large prospective cohort studies. In the only such study, which was performed in the Nurses’ Health Study (NHS), it was observed that women who were high consumers of FVs had a decreased risk of cholecystectomy (used as a proxy for symptomatic gallstone disease) [7]. In other studies (i.e., in small cohort, case–control, and cross-sectional studies), both inverse [8, 9] and null [10, 11, 12, 13, 14] associations have been observed between FV consumption and risk of gallstone disease (defined as the presence of gallstones on ultrasound and/or occurrence of cholecystectomy).
To investigate whether the findings from the NHS were possible to reproduce in a cohort of European women, as well as to provide large prospective data on men for the first time, we examined the association between FV consumption and the 14-year risk of cholecystectomy in two prospective cohorts of middle-aged and elderly persons.
Methods
Cohorts
The Swedish Mammography Cohort is a population-based cohort of 66,651 women, aged 40–75 years at recruitment in 1987–1990. All women answered a baseline questionnaire with questions on diet and lifestyle characteristics (i.e., marital status, education, height, and weight) and 39,227 of them (then aged 48–83 years) answered a second questionnaire in 1997 with expanded questions on diet and lifestyle characteristics as well as with additional questions on medication use, supplement use, and medical history. The Cohort of Swedish Men is a population-based cohort of 48,850 men, aged 45–79 years at recruitment in 1997, who answered a questionnaire that was identical to the second questionnaire in the Swedish Mammography Cohort. Details on the cohorts can be viewed at www.ki.se/en/imm/unit-of-nutritional-epidemiology.
This analysis was restricted to women and men who completed the questionnaire in 1997 (because the first female questionnaire did not contain questions on a number of important co-variables, such as cigarette smoking, physical activity, and use of postmenopausal hormones; n = 88,077). At baseline, we excluded those with incorrect personal identity numbers (n = 540), implausible energy intakes (±3 standard deviations of the sex-specific log-transformed mean; n = 1090), and histories of cancer or cholecystectomy (n = 10,413) as well as those with missing data on fruit consumption or vegetable consumption (n = 981). In addition, we excluded participants who developed cancer in the duodenum, liver, gallbladder, biliary ducts, or pancreas during follow-up (n = 499), and thus, 74,554 participants were left for analyses. Ethical approval was granted by the Regional Ethical Board at Karolinska Institutet.
Dietary variables
Participants reported their usual FV consumption over the past year as part of a 96-item food frequency questionnaire. For each item, one of 8 frequency-of-consumption responses could be chosen (“never,” “1–3 times/month,” “1–2 times/week,” “3–4 times/week,” “5–6 times/week,” “1 time/day,” “2 times/day,” and “≥3 times/day”). There were 13 questions on vegetables (carrot, beetroot, lettuce, cabbage, cauliflower, broccoli, tomato, pepper, spinach, peas, onion, garlic, and other vegetables), five on fruit (orange, apple, banana, berry, and other fruit), and one on orange juice. In a validation study, which was conducted in a subsample of 129 women from the Swedish Mammography Cohort using a similar food frequency questionnaire (including 60 items), the Spearman correlation coefficients between the food frequency questionnaire and four 1-week diet records (completed 3–4 months apart) ranged from 0.4 to 0.7 (unpublished data). Frequency responses were converted to average consumption (servings/day), and the variable for total FV consumption was created by aggregating the consumption of all individual items [including that on orange juice, because the exposure–outcome association was highly similar with and without that item (data not shown)]. We also created variables for consumption of total fruit (including orange juice), total vegetables, citrus fruits (orange and orange juice), green leafy vegetables (lettuce and spinach), cruciferous vegetables (cabbage, cauliflower, and broccoli), and items high in vitamin C (cabbage, broccoli, pepper, orange, orange juice, berry, and other fruit).
Data on dietary co-variables (i.e., foods, beverages, and nutrients) were acquired from the food frequency questionnaire. Nutrients were adjusted for energy intake (1700 kcal/day in women and 2600 kcal/day in men) using the residual method [15].
Other variables
The questionnaire contained questions on education, smoking status, physical activity, use of aspirin, height and weight, hyperlipidemia, and diabetes. Body mass index (BMI) was calculated as weight (kg) divided by height squared (m2). Additional data on the presence of hyperlipidemia and diabetes were obtained from the Swedish Patient Register and the Swedish Diabetes Register. The female questionnaire also contained questions on parity and use of oral contraceptives and postmenopausal hormones.
Follow-up for cholecystectomy
We performed follow-up for cholecystectomy between January 1, 1998, and December 31, 2011, via linkage to the Swedish Patient Register (represented by codes JKA20 and JKA21 in the Swedish Classification of Operations and Major Procedures). Data on cholelithiasis and cholecystitis in relation to the surgical procedure were obtained from the same register (represented by codes K80 and K81 in the International Classification of Diseases-10). Data on cancer and death were acquired from the Swedish Cancer Registry and the Swedish Cause of Death Register, respectively.
Statistical analyses
We used Cox regression models to obtain hazard ratios (HRs) according to sex-specific quartiles of FV consumption (with attained age during follow-up as time-axis) [16]. Entry time was defined as age at January 1, 1998, and exit time was defined as age at cholecystectomy, death, or December 31, 2011 (end of follow-up).
Age-standardized baseline characteristics by sex-specific quartiles of fruit and vegetable consumption
| Characteristicsa | Quartiles of consumption (servings/day) (median) | |||||||
|---|---|---|---|---|---|---|---|---|
| Men (n = 42,516) | Women (n = 32,038) | |||||||
| <2.4 (1.7) | 2.4–3.5 (3.0) | 3.6–5.1 (4.3) | >5.1 (6.5) | <3.3 (2.4) | 3.3–4.7 (4.0) | 4.8–6.6 (5.6) | >6.6 (8.3) | |
| No. of participants | 10,631 | 10,650 | 10,613 | 10,622 | 8013 | 8008 | 8009 | 8008 |
| Age (years) (mean) | 61.0 | 59.7 | 59.3 | 59.7 | 63.6 | 61.6 | 61.0 | 60.2 |
| Education >12 years (%) | 9.2 | 14.4 | 18.0 | 23.2 | 12.4 | 19.0 | 23.5 | 27.1 |
| Current smoker (%) | 33.7 | 24.4 | 21.4 | 18.3 | 27.7 | 19.8 | 17.0 | 14.0 |
| BMI (kg/m2) (mean) | 26.0 | 25.8 | 25.6 | 25.6 | 25.0 | 24.9 | 24.8 | 24.8 |
| Physical activity >40 min of walking/day (%) | 27.8 | 32.0 | 34.2 | 37.3 | 30.0 | 33.3 | 36.8 | 42.0 |
| Use of aspirin (%) | 35.7 | 38.2 | 38.0 | 38.0 | 50.2 | 51.9 | 51.4 | 50.8 |
| History of diabetes (%) | 10.4 | 9.7 | 8.5 | 9.9 | 4.3 | 4.2 | 4.1 | 4.7 |
| History of hyperlipidemia (%) | 16.6 | 16.5 | 17.0 | 16.2 | 8.6 | 8.2 | 8.9 | 9.1 |
| Ever used oral contraceptives (%) | – | – | – | – | 58.1 | 59.4 | 60.9 | 60.2 |
| Parity (mean) | – | – | – | – | 2.1 | 2.1 | 2.1 | 2.2 |
| Ever used HRT (%)b | – | – | – | – | 50.6 | 54.6 | 56.2 | 58.1 |
| Daily intake (mean) | ||||||||
| Alcohol (g)c | 15.4 | 15.0 | 15.0 | 14.9 | 6.4 | 6.7 | 6.7 | 6.9 |
| Coffee (cups) | 3.7 | 3.5 | 3.4 | 3.3 | 3.2 | 3.1 | 3.0 | 3.0 |
| Energy (kcal) | 2390 | 2586 | 2714 | 2992 | 1513 | 1680 | 1790 | 2026 |
A test for proportionality of hazards according to quartiles of FV consumption was conducted with the Schoenfeld test [19]. In practice, this corresponds to a test for an interaction with age when attained age is the time-axis. In the case of formal evidence of non-proportionality, we allowed hazards to vary flexibly by including an interaction term between FV consumption (in quartiles) and attained age (as a continuous variable, modeled using 3-knot restricted cubic splines) [20]. We also tested for an interaction with sex (using the likelihood ratio test) and performed separate analyses of men and women as sensitivity analyses. Analyses were two-sided at the 5 % significance level and performed with Stata 12.1 (StataCorp, TX, USA).
Results
A median of 4.1 daily servings of FVs were consumed at baseline (4.8 servings in women and 3.6 servings in men) including 1.4 servings of fruit (1.7 servings in women and 1.2 servings in men) and 2.5 servings of vegetables (2.9 servings in women and 2.2 servings in men). High consumers of FVs were less likely to be current smokers and more likely to be well educated, physically active, and users of postmenopausal hormones (Table 1). (See Electronic Supplementary Table S1 for baseline characteristics separated by fruit consumption and vegetable consumption.) During a total follow-up of 939,715 person-years (1998–2011: mean of 12.6 years and 25th percentile of 14.0 years), 2120 participants underwent a cholecystectomy (1120 women and 1000 men), of whom 2007 had a prior or concomitant diagnosis of cholelithiasis or cholecystitis.
Hazard ratios of cholecystectomy by sex-specific quartiles of fruit and vegetable consumption
| Quartile of consumptiona | P for trendb | ||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | ||
| No. of participants | 18,644 | 18,658 | 18,622 | 18,630 | – |
| No. of cases/person-years | 532/227,763 | 534/235,426 | 535/237,903 | 519/238,624 | – |
| Hazard ratio (95 % CI) | |||||
| Age- and sex-adjusted | 1.00 (ref) | 0.94 (0.83–1.06) | 0.92 (0.82–1.04) | 0.88 (0.78–0.99) | 0.036 |
| Multivariable-adjustedc | 1.00 (ref) | 0.96 (0.85–1.09) | 0.96 (0.85–1.09) | 0.95 (0.83–1.08) | 0.43 |
Time-varying hazard ratios of cholecystectomy for the highest compared with the lowest quartile of fruit and vegetable consumption in women, according to attained age during follow-up (time-axis). The figure illustrates time-varying hazard ratios and 95 % CI for the highest compared with the lowest quartile of fruit and vegetable consumption (Y-axis) according to attained age (X-axis). Data were derived from a Cox regression model that included an interaction term between fruit and vegetable consumption (in quartiles) and attained age (as a continuous variable, modeled using 3-knot restricted cubic splines). Estimates were adjusted for the same co-variables as those in Table 2
Discussion
In this large prospective cohort study, we found evidence of an inverse association between FV consumption and risk of cholecystectomy in women, although the association was restricted to women aged 48–60 years. In contrast, there was no evidence of an association in men.
Our finding of a null association with FV consumption in the combined analysis of women and men is in agreement with the few (and small) studies that have (1) examined its association with gallstone disease and (2) included both women and men [10, 11, 12, 13, 14], with the exception of a Spanish case–control study in which gallstone patients consumed less fruit than did control subjects [8]. However, on closer scrutiny, those results were solely driven by the female cases, as the male cases had a higher mean fruit consumption than had the control subjects. In fact, the only significant findings reported in the literature have been in women [7, 8, 9]. As such, our finding of an inverse association with FV consumption in women aged 60 years or less also finds some support. In a small case–control study of Greek women (mean age among control subjects 54 years), gallstone patients consumed less vegetables than did control subjects [9]. An inverse association with fruit consumption was in turn observed in the small case–control study of Spanish women mentioned above (mean age among control subjects 64 years) [8]. Finally, an inverse association with FV consumption was observed in the NHS (mean age at the start of a 17-year follow-up period 50 years), the only large prospective cohort study to date [7]. It should be noted that most between-study comparisons are limited because of the mixture of study designs (i.e., cross-sectional, case–control, or cohort) and outcome definitions (i.e., presence of gallstones on ultrasound and/or occurrence of cholecystectomy).
Due to similarities in study design and outcome definition, a thorough comparison between the present study and the NHS is needed [7]. Among 77,090 women, followed up between 1984 and 2000, there was an inverse association between FV consumption and risk of cholecystectomy (P trend < .0001). The multivariable-adjusted HR was 0.79 (95 % CI 0.73–0.87) for the highest compared with the lowest quintile of FV consumption—and, in contrast to our study, there was no evidence of an interaction with age (HR for <60 years 0.80 and HR for ≥60 years 0.78). Some differences between the two studies should also be noted, since they may affect generalizability and explain discrepancies in results. Firstly, and of importance regarding a potential interaction with age, the NHS had a younger age structure (aged 37–64 years at the start of a 17-year follow-up period) than had our cohort of women (aged 48–84 years at the start of a 14-year follow-up period). Secondly, adjustment for potential confounders had a minimal effect on the results in the NHS, which is a rather homogenous cohort of nurses, whereas the age- and sex-adjusted results in our population-based cohort were clearly attenuated in the multivariable-adjusted analyses. Finally, the crude incidence of cholecystectomy was very high in the NHS (6.2 cases per 1000 person-years), especially compared with that in our cohort of women (2.7 cases per 1000 person-years) as well as that in other European cohorts of women (2.8–3.4 cases per 1000 person-years) [21, 22].
Since gallstone disease is considerably more common in women than in men [23], which suggests sex differences in the etiology, it is plausible that the association with FV consumption might differ by sex. Higher levels of female sex hormones have been associated with an increased risk of gallstone disease, for example due to postmenopausal hormones [17, 21, 22, 24] (including in our data [17]) and multiple childbirths [25] [including in our data, with multivariable-adjusted HRs (95 % CI) of 1.37 (1.04–1.81), 1.43 (1.12–1.83), and 1.54 (1.20–1.98) for 1, 2, and ≥3 childbirths, respectively, compared with nulliparity]. Experimental studies have demonstrated that overexpression of progesterone receptors may lead to a slow intestinal transit [26, 27], while clinical studies have shown that women’s intestinal transits are slower than men’s, which seem to depend on the menstrual cycle [28]. A slow intestinal transit may, in turn, increase the risk of gallstone disease by promoting bacterial overgrowth and by increasing the intestinal absorption of cholesterol [29, 30, 31]. FVs are rich in dietary fiber, which shortens the intestinal transit [32] and has been inversely associated with risk of gallstone disease [33]. Thus, it might be that an inverse association between FV consumption and risk of gallstone disease depends on female sex hormones, as well as the level of these, which may explain our finding of a lack of association in men and of an interaction with age in women.
Some strengths of our study were its large size, inclusion of women and men, prospective assessment of diet, and ability to control for a number of potential confounders. Other strengths included the population-based design and an almost complete follow-up via linkage to national health registers.
The major limitation of the study was the reliance on self-reported diet, which, inevitably, must have led to some degree of misclassification of FV consumption. Also, since the exposure was only measured once at baseline, further misclassification might have occurred as a result of potential changes in FV consumption during follow-up. However, due to the study’s prospective design, such types of misclassification should have been unrelated to the future occurrence of cholecystectomy. Because of the age structure of the participants (aged 45–83 years at baseline), we could not determine how the risk of cholecystectomy is influenced by FV consumption earlier in life. Furthermore, we used gallstone disease that required cholecystectomy as the outcome of interest. Our results may, therefore, not be generalizable to patients with asymptomatic gallstone disease or to those with conservatively treated gallstone disease. However, apart from the fact that the probability of false-positive cases should have been low, we believe that patients treated with cholecystectomy represent the most clinically relevant fraction of gallstone disease. Since the cohorts consisted almost exclusively of non-Hispanic whites, the generalizability to populations of other ethnicities is also expected to be limited. On the other hand, the ethnically homogenous population should have kept the influence of confounding by genetic factors to a minimum. Finally, as in all observational studies, we cannot rule out the possibility of residual and/or unmeasured confounding (for example due to rapid weight loss and dieting [34], two co-variables for which we had no satisfactory data).
In conclusion, this prospective cohort study supports an inverse association between FV consumption and risk cholecystectomy in women, although the association was restricted to women aged 48–60 years. In contrast, the study does not support an association in men. Given the sparse epidemiologic data on the association between FV consumption and gallstone disease, particularly from large prospective cohort studies, further observational studies are required in both women and men.
Notes
Funding
This work was supported by research grants from the Swedish Research Council/Committee for Infrastructure and the Board of Research at Karolinska Institutet (Distinguished Professor Award) (to Alicja Wolk). The funders had no role in the study design; the collection, analysis, or interpretation of the data; the writing of the manuscript; or the decision to submit the manuscript for publication.
Compliance with ethical standards
Conflict of interest
The authors disclose no conflict of interest. All authors contributed to the study design and participated in the statistical analyses and the writing of the manuscript. All authors have read and approved the final version of the manuscript.
Ethics and consent
Ethical approval was acquired from the Regional Ethical Board at Karolinska Institutet (Stockholm, Sweden), and return of a completed questionnaire was considered to imply informed consent.
Supplementary material
References
- 1.World Health Organization (2003) Diet, nutrition and the prevention of chronic diseases. Report of a Joint WHO/Food and Agriculture Organization Expert Consultation. World Health Organization Technical Report Series. GenevaGoogle Scholar
- 2.Carter P, Gray LJ, Troughton J, Khunti K, Davies MJ (2010) Fruit and vegetable intake and incidence of type 2 diabetes mellitus: systematic review and meta-analysis. BMJ 341:c4229. doi: 10.1136/bmj.c4229 CrossRefGoogle Scholar
- 3.Hartley L, Igbinedion E, Holmes J, Flowers N, Thorogood M, Clarke A, Stranges S, Hooper L, Rees K (2013) Increased consumption of fruit and vegetables for the primary prevention of cardiovascular diseases. Cochrane Database Syst Rev 6:CD009874. doi: 10.1002/14651858.CD009874.pub2 Google Scholar
- 4.Aune D, Chan DS, Vieira AR, Rosenblatt DA, Vieira R, Greenwood DC, Norat T (2012) Fruits, vegetables and breast cancer risk: a systematic review and meta-analysis of prospective studies. Breast Cancer Res Treat 134(2):479–493. doi: 10.1007/s10549-012-2118-1 CrossRefGoogle Scholar
- 5.Aune D, Lau R, Chan DS, Vieira R, Greenwood DC, Kampman E, Norat T (2011) Nonlinear reduction in risk for colorectal cancer by fruit and vegetable intake based on meta-analysis of prospective studies. Gastroenterology 141(1):106–118. doi: 10.1053/j.gastro.2011.04.013 CrossRefGoogle Scholar
- 6.Lunet N, Lacerda-Vieira A, Barros H (2005) Fruit and vegetables consumption and gastric cancer: a systematic review and meta-analysis of cohort studies. Nutr Cancer 53(1):1–10. doi: 10.1207/s15327914nc5301_1 CrossRefGoogle Scholar
- 7.Tsai CJ, Leitzmann MF, Willett WC, Giovannucci EL (2006) Fruit and vegetable consumption and risk of cholecystectomy in women. Am J Med 119(9):760–767. doi: 10.1016/j.amjmed.2006.02.040 CrossRefGoogle Scholar
- 8.Ortega RM, Fernandez-Azuela M, Encinas-Sotillos A, Andres P, Lopez-Sobaler AM (1997) Differences in diet and food habits between patients with gallstones and controls. J Am Coll Nutr 16(1):88–95CrossRefGoogle Scholar
- 9.Pastides H, Tzonou A, Trichopoulos D, Katsouyanni K, Trichopoulou A, Kefalogiannis N, Manousos O (1990) A case-control study of the relationship between smoking, diet, and gallbladder disease. Arch Intern Med 150(7):1409–1412CrossRefGoogle Scholar
- 10.La Vecchia C, Decarli A, Pagano R (1998) Vegetable consumption and risk of chronic disease. Epidemiology 9(2):208–210CrossRefGoogle Scholar
- 11.Misciagna G, Leoci C, Guerra V, Chiloiro M, Elba S, Petruzzi J, Mossa A, Noviello MR, Coviello A, Minutolo MC, Mangini V, Messa C, Cavallini A, De Michele G, Giorgio I (1996) Epidemiology of cholelithiasis in southern Italy. Part II: Risk factors. Eur J Gastroenterol Hepatol 8(6):585–593CrossRefGoogle Scholar
- 12.Linos AD, Daras V, Linos DA, Kekis V, Tsoukas MM, Golematis V (1989) Dietary and other risk factors in the aetiology of cholelithiasis: a case control study. HPB Surg 1(3):221–227CrossRefGoogle Scholar
- 13.Tseng M, DeVellis RF, Maurer KR, Khare M, Kohlmeier L, Everhart JE, Sandler RS (2000) Food intake patterns and gallbladder disease in Mexican Americans. Public Health Nutr 3(2):233–243CrossRefGoogle Scholar
- 14.Volzke H, Baumeister SE, Alte D, Hoffmann W, Schwahn C, Simon P, John U, Lerch MM (2005) Independent risk factors for gallstone formation in a region with high cholelithiasis prevalence. Digestion 71(2):97–105. doi: 10.1159/000084525 CrossRefGoogle Scholar
- 15.Willet W (1998) Nutritional epidemiology. Oxford University Press, New YorkCrossRefGoogle Scholar
- 16.Cologne J, Hsu WL, Abbott RD, Ohishi W, Grant EJ, Fujiwara S, Cullings HM (2012) Proportional hazards regression in epidemiologic follow-up studies: an intuitive consideration of primary time scale. Epidemiology 23(4):565–573. doi: 10.1097/EDE.0b013e318253e418 CrossRefGoogle Scholar
- 17.Nordenvall C, Oskarsson V, Sadr-Azodi O, Orsini N, Wolk A (2014) Postmenopausal hormone replacement therapy and risk of cholecystectomy: a prospective cohort study. Scand J Gastroenterol 49(1):109–113. doi: 10.3109/00365521.2013.858180 CrossRefGoogle Scholar
- 18.Nordenvall C, Oskarsson V, Wolk A (2015) Inverse association between coffee consumption and risk of cholecystectomy in women but not in men. Clin Gastroenterol Hepatol 13(6):1096–1102. doi: 10.1016/j.cgh.2014.09.029 CrossRefGoogle Scholar
- 19.Schoenfled D (1980) Chi squared goodness-of-fit tests for proportional hazards regression model. Biometrika 67:145–153CrossRefGoogle Scholar
- 20.Orsini N, Greenland S (2011) A procedure to tabulate and plot results after flexible modeling of quantitative covariate. Stata J 11:1–29Google Scholar
- 21.Liu B, Beral V, Balkwill A, Green J, Sweetland S, Reeves G, Million Women Study C (2008) Gallbladder disease and use of transdermal versus oral hormone replacement therapy in postmenopausal women: prospective cohort study. Bmj 337:a386. doi: 10.1136/bmj.a386 CrossRefGoogle Scholar
- 22.Racine A, Bijon A, Fournier A, Mesrine S, Clavel-Chapelon F, Carbonnel F, Boutron-Ruault MC (2013) Menopausal hormone therapy and risk of cholecystectomy: a prospective study based on the French E3N cohort. CMAJ Can Med Assoc J 185(7):555–561. doi: 10.1503/cmaj.121490 CrossRefGoogle Scholar
- 23.Portincasa P, Moschetta A, Palasciano G (2006) Cholesterol gallstone disease. Lancet 368(9531):230–239. doi: 10.1016/S0140-6736(06)69044-2 CrossRefGoogle Scholar
- 24.Grodstein F, Colditz GA, Stampfer MJ (1994) Postmenopausal hormone use and cholecystectomy in a large prospective study. Obstet Gynecol 83(1):5–11Google Scholar
- 25.Liu B, Beral V, Balkwill A, Million Women Study C (2009) Childbearing, breastfeeding, other reproductive factors and the subsequent risk of hospitalization for gallbladder disease. Int J Epidemiol 38(1):312–318. doi: 10.1093/ije/dyn174 CrossRefGoogle Scholar
- 26.Guarino M, Cheng L, Cicala M, Ripetti V, Biancani P, Behar J (2011) Progesterone receptors and serotonin levels in colon epithelial cells from females with slow transit constipation. Neurogastroenterol Motil 23(6):575-e210. doi: 10.1111/j.1365-2982.2011.01705.x CrossRefGoogle Scholar
- 27.Xiao ZL, Pricolo V, Biancani P, Behar J (2005) Role of progesterone signaling in the regulation of G-protein levels in female chronic constipation. Gastroenterology 128(3):667–675CrossRefGoogle Scholar
- 28.Meier R, Beglinger C, Dederding JP, Meyer-Wyss B, Fumagalli M, Rowedder A, Turberg Y, Brignoli R (1995) Influence of age, gender, hormonal status and smoking habits on colonic transit time. Neurogastroenterol Motil 7(4):235–238CrossRefGoogle Scholar
- 29.Heaton KW, Emmett PM, Symes CL, Braddon FE (1993) An explanation for gallstones in normal-weight women: slow intestinal transit. Lancet 341(8836):8–10CrossRefGoogle Scholar
- 30.Kaur J, Rana SV, Gupta R, Gupta V, Sharma SK, Dhawan DK (2014) Prolonged orocecal transit time enhances serum bile acids through bacterial overgrowth, contributing factor to gallstone disease. J Clin Gastroenterol 48(4):365–369. doi: 10.1097/MCG.0b013e3182a14fba CrossRefGoogle Scholar
- 31.Xie M, Kotecha VR, Andrade JD, Fox JG, Carey MC (2012) Augmented cholesterol absorption and sarcolemmal sterol enrichment slow small intestinal transit in mice, contributing to cholesterol cholelithogenesis. J Physiol 590(Pt 8):1811–1824. doi: 10.1113/jphysiol.2011.224717 CrossRefGoogle Scholar
- 32.Muller-Lissner SA (1988) Effect of wheat bran on weight of stool and gastrointestinal transit time: a meta analysis. Br Med J 296(6622):615–617CrossRefGoogle Scholar
- 33.Tsai CJ, Leitzmann MF, Willett WC, Giovannucci EL (2004) Long-term intake of dietary fiber and decreased risk of cholecystectomy in women. Am J Gastroenterol 99(7):1364–1370. doi: 10.1111/j.1572-0241.2004.30153.x CrossRefGoogle Scholar
- 34.Everhart JE (1993) Contributions of obesity and weight loss to gallstone disease. Ann Intern Med 119(10):1029–1035CrossRefGoogle Scholar
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