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PLOS One logoLink to PLOS One
. 2018 Jun 21;13(6):e0198939. doi: 10.1371/journal.pone.0198939

Does mammogram attendance influence participation in cervical and colorectal cancer screening? A prospective study among 1856 French women

Aurélie Bertaut 1,*, Julien Coudert 2, Leila Bengrine 2, Vincent Dancourt 3, Christine Binquet 4,5, Serge Douvier 6
Editor: Hajo Zeeb7
PMCID: PMC6013094  PMID: 29927995

Abstract

Background

We aimed to determine participation rates and factors associated with participation in colorectal (fecal occul blood test) and cervical cancer (Pap-smear) screening among a population of women participating in breast cancer screening.

Methods

From August to October 2015, a self-administered questionnaire was sent by post to 2 900 women aged 50–65, living in Côte-d’Or, France, and who were up to date with mammogram screening. Polytomic logistic regression was used to identify correlates of participation in both cervical and colorectal cancer screenings. Participation in all 3 screenings was chosen as the reference.

Results

Study participation rate was 66.3% (n = 1856). Besides being compliant with mammogram, respectively 78.3% and 56.6% of respondents were up to date for cervical and colorectal cancer screenings, while 46.2% were compliant with the 3 screenings. Consultation with a gynecologist in the past year was associated with higher chance of undergoing the 3 screenings or female cancer screenings (p<10–4), when consultation with a GP was associated with higher chance of undergoing the 3 screenings or organized cancer screenings (p<0.05). Unemployment, obesity, age>59 and yearly flu vaccine were associated with a lower involvement in cervical cancer screening. Women from high socio-economic classes were more likely to attend only female cancer screenings (p = 0.009). Finally, a low level of physical activity and tobacco use were associated with higher risk of no additional screening participation (p<10–3 and p = 0.027).

Conclusions

Among women participating in breast screening, colorectal and cervical cancer screening rates could be improved. Including communication about these 2 cancer screenings in the mammogram invitation could be worth to explore.

Introduction

Cancer is the leading cause of death among women. In 2012, 48,753 new cases of breast cancer, 18,926 colorectal cancers and 3,028 cervical cancers were diagnosed among women in France. These three cancer sites account for 44.4% of cancer deaths each year, despite the existence of screening programs [13].

In France, women aged 50–65 years are eligible for breast and cervical cancer screening [female cancer screenings], and also for colorectal cancer screening. Both breast and colorectal cancer, as part of organized cancer screening programs, are covered by national health prevention policies. Costs of the exams are supported by social security system. The Breast cancer screening program target women in the 50–74-year age group, who receive an invitation to have a mammogram free of charge every 2 years. This program has been implemented nationwide since 2004 with a quality policy ensuring a free double reading of the images. Over the period 2015–2016, the participation rate in organized breast cancer screening was around 51%, to which should be added around 10% who participate on their own individual initiative outside the organized program (in particular women younger than 50 with family history of breast cancer) [4]. This mammogram participation rate which has been quite stable since 2008 hides disparities between areas mainly in relation with healthcare access [57]. In addition to geographical determinants, socio-demographical determinants of breast cancer screening participation are well known. Many studies have shown that being married [8], moderate or high use of health services, employment and socio economic level are all associated with higher screening participation rates [6] [910].

Cervical cancer screening shows similar participation rates, 61% between 2010 and 2014 in France, but it is not organized at a national level [11]. French guidelines recommend performing cervical cancer screening (by means of a Pap smear test) every three years after two normal Pap-smears at one-year intervals. Screening is opportunistic, i.e. during a consultation for other purposes, and proposed mostly by gynecologists and some general practitioners (GPs). Conversely, colorectal cancer screening is much less widely implemented, with only 30.8% of French women performing the fecal occult blood test (FOBT) in 2015–2016 [12]. Colorectal cancer screening was implemented in all of France in 2009 after an experimental phase in 22 French geographical administrative areas, and is now available for men and women aged 50 to 74 years.

Younger age, good health status, participation in mammogram screening and regular gynecological follow-up are known predictors of a higher cervical cancer screening participation [9] [1316]. Regarding colorectal cancer screening, factors shown to be associated with increased participation include younger age, having complementary health insurance, non-smoking status, and participation in other screening programs [1721]. Most studies that focused on the determinants of participation in colorectal or cervical cancer screening mixed two kinds of populations, namely women who already have a general prevention attitude and participate in breast cancer screening; and women who do not participate. Little is known about colorectal and cervical cancer screening behavior among women who already performed mammogram. However, a better knowledge of these women supposed to feel concerned about their health, would allow reaching specific factors that can constitute some leverage to increase participation to either colorectal or cervical cancers screenings.

We aimed to determine participation rates and factors associated with participation in both organized colorectal and individual cervical cancer screenings among a population of women participating in organized breast cancer screening.

Methods

Population

This cross-sectional study was conducted between June and August 2015 in women aged between 50 and 65 years old, resident in Côte-d’Or and participating in breast screening. Côte-d’Or is a French Department located in Burgundy, with a population of 524 144 inhabitants, of whom 270 930 are women, and nearly 54 000 of those women are aged between 50 and 65. To be eligible for inclusion in the present study, the women had to meet the following criteria: 1) having been invited to participate in organized breast and colorectal cancer screenings between 1 January 2011 and 31 December 2014, and 2) having participated in breast screening.

Sampling strategy and sample size calculation

The eligible source population, comprising 21,136 women, was obtained from the local screening structure (ADECA) that sends mammograms invitation letters to every woman living in the administrative area. Overall, 2,900 women were randomly selected, from the ADECA database, to participate in the study. The sample size was determined assuming that 50% of women would be up-to-date for both colorectal and cervical cancer screening, with a precision of 2.5% and a response rate of 55%.

Main outcomes

Cervical cancer screening

Patients were considered up to date for cervical cancer screening if they had undergone a Pap- smear test within the previous 3 years. Cervical cancer screening in France was an individual initiative at the time of the study.

Colorectal screening

Patients were considered up to date for colorectal cancer screening if they had undergone a FOBT test within the previous 2 years. FOBT was used in France for colorectal screening at the time of the study. The ADECA send an invitation letter and the test is then given by the GP during a specific consultation. FOBTs are the analyzed in private practices and results are systematically transmitted to the ADECA.

Study procedures

The study was approved by the French Data Protection Authority (Commission Nationale de l’Informatique et des Libertés). A self-administered questionnaire was delivered by post to each participant. A reminder letter was sent one month after the first mailing. Besides clinical and demographical questions (age, height, weight, highest level of diploma, current occupation, complementary health insurance underwriting), women were asked about their family history regarding breast, colorectal and cervical cancer, and their medical follow-up (last consultation with a GP, gynecologist or gastroenterologist, last influenza vaccination). Data about their health behavior (consumption of fruit and vegetables, level of physical activity, consumption of alcohol and smoking status) were also recorded. Data on cervical cancer screening were self-reported, since no academic or governmental organization currently takes a census of the number of women participating in cervical cancer testing. Self-reported data on colorectal cancer screening were cross validated using the ADECA database.

Statistical analysis

Categorical variables are presented as number (percentage) and continuous variables as mean± standard deviation (SD). Categorical variables were compared using the Chi square test. When appropriate, continuous variable were dichotomized using the median as a cut-off. Polytomic logistic regression was used to identify variables independently associated with adequate cervical and colorectal cancer screening participation. Participation in all 3 screenings was chosen as the reference. Correlations between eligible variables were tested. The following covariates were considered: age, marital status, BMI, social and occupational group (4 classes), family history of breast, colorectal or cervical cancer, influenza vaccination, gynecologist consultation in the past 12 months, physical activity, level of education, health insurance coverage, smoking status, consumption of fruit and vegetables, and finally alcohol consumption. All covariates with a p value less than 0.20 in univariate analyses were entered into the multivariate model. A backward selection procedure was then applied to identify the factors associated with the outcome, with a significance level of 0.15 or less. Analyses were performed on complete data. Some variables were grouped due to the low number of subjects in certain response classes. All analyses were performed using SAS version 9.3 software (SAS Institute Inc., Cary, NC, USA). A p-value less than 0.05 was considered statistically significant.

Results

Study sample

Among the 2 900 selected women, 1 856 agreed to participate, giving a participation rate of 66.3%. The mean age of participants was 58.8 (SD = 3.8) years, range 50 to 65 years. Half the population (n = 917) had a family history of cancer, including breast (n = 604, 32.9%), colorectal (n = 327, 17.8%) and cervical (n = 211, 11.4%) cancer. The characteristics of the study population are shown in Table 1.

Table 1. Socio-demographic characteristics of the population.

n %
Age
 n 1851
 mean [STD] 58.8 [3.8]
 median [min-max] 59 [50–65]
 missing 5
BMI
 n 1833
 mean [STD] 25.0 [4.8]
 median [min-max] 24.2 [15.1–45.8]
 missing 21
Marital status
 Alone 461 25,0%
 In couple 1382 75,0%
 missing 13
Diploma
 Junior high school degree 279 15,8%
 Vocational occupation 581 32,8%
 High-School diploma 353 19,9%
 High-School diploma + 2 years 245 13,8%
 ≥ University degree or higher 312 17,6%
 missing 86
Social and occupational group
 Farmer 23 1,3%
 Self-employed, traders 46 2,5%
 Senior manager 184 10,0%
 Junior manager 131 7,1%
 Employee 556 30,3%
 Manual worker 42 2,3%
 Unemployed 203 11,1%
 Retired 650 35,4%
 missing 21
Supplementary health insurance
 No 42 2,3%
 Yes 1806 97,7%
 missing 8
Family history of breast cancer
 No 1176 64,0%
 Yes 604 32,9%
 Unknown 58 3,2%
 missing 18
Family history of cervical cancer
 No 1494 81,1%
 Yes 211 11,4%
 Unknown 138 7,5%
 missing 13
Family history of colorectal cancer
 No 1342 72,9%
 Yes 327 17,8%
 Unknown 171 9,3%
 missing 16

Our sample reported having a relatively healthy lifestyle, with half the population consuming fruit and vegetables several times per day, and 80% reporting engaging in physical activity at least once a week. More than 85% of women were non-smokers and reported that they consumed alcohol once a week or less (Table 2). Patients with a family history of colorectal cancer had better gastroenterological follow-up (16.9% declared having consulted a gastroenterologist in the previous year vs 9.3% for women without a history of colorectal cancer, p<10–4).

Table 2. Health behaviors characteristics of the population.

n %
Alcohol consumption
 Every days 68 3.7%
 Several times a week 240 13.2%
 Once a week 458 25.1%
 Less often 671 36.8%
 Never 387 21.2%
 missing 32
Tobacco smoking
 No 1565 85.1%
 Yes 275 14.9%
 missing 16
Fruit consumption
 Several times per day 914 49.8%
 Once a day 628 34.2%
 At least once a week 270 14.7%
 Never 22 1.2%
 missing 22
Vegetable consumption
 Several times per day 909 49.4%
 Once a day 747 40.6%
 At least once a week 180 9.8%
 Never 4 0.2%
 missing 16
Physical activity practice
 Every days 350 19.1%
 Several times a week 727 39.7%
 Once a week 382 20.9%
 Less often 239 13.1%
 Never 132 7.2%
 missing 26
Influenza vaccine
 Each year 315 17.2%
 Every second year 40 2.2%
 Less often 137 7.5%
 Never 1343 73.2%
 missing 21
GP consultation in the past 12 months
 No 163 8.9%
 Yes 1675 91.1%
 missing 18
Gynecologist consultation in the past 12 months
 No 792 43.2%
 Yes 1042 56.8%
 missing 22
Gastroenterologist consultation in the past 12 months
 No 1638 88.8%
 Yes 206 11.2%
 missing 12

Screening participation rates

The information about screening participation was available for 1749 (94.2%), 1804 (97.2%) and 1720 (92.7%) women for cervical cancer alone, colorectal cancer alone, and both cervical and colorectal cancer, respectively. Participation rates are presented in Table 3.

Table 3. Screening participation rates among women still up to date for organized breast screening.

only breast cancer screening compliance breast and cervical cancers screening compliance breast and colorectal cancers screening compliance 3 screenings compliance Total
n % n % n % n % p n %*
Overall population 192 11.2 552 32.1 181 10.5 795 46.2 1720 100
Age <0.001
 [50–59[ 78 9.3 340 40.5 69 8.2 352 42 839 100
 [59–65] 113 12.9 212 24.1 112 12.7 443 50.3 880 100
BMI <0.001
 < 25 78 7.9 321 32.8 82 8.4 499 50.9 980 100
 [25–30[ 58 12.2 164 34.6 50 10.6 202 42.6 474 100
 ≥ 30 53 21.3 61 24.5 47 18.9 88 35.3 249 100
Marital status 0.043
 Alone 57 13.3 139 32.6 54 12.6 177 41.5 427 100
 In couple 132 10.3 411 32 126 9.8 616 47.9 1285 100
Social and occupational group <0.001
 Employee, manual worker, farmer, junior manager 62 8.8 251 35.4 72 10.2 323 45.6 708 100
 Senior manager, self-employed, traders 13 6.1 99 46.2 13 6.1 89 41.6 214 100
 Unemployed 36 19.1 55 29.1 25 13.2 73 38.6 189 100
 Retired 76 12.8 144 24.3 71 12 302 50.9 593 100
Diploma <0.001
 Junior high school 33 12.8 59 22.9 46 17.8 120 46.5 258 100
 Vocational qualification 69 12.9 171 31.9 52 9.7 244 45.5 536 100
 High-School diploma 33 10.1 108 32.9 30 9.1 157 47.9 328 100
 High-School diploma + 2 years 18 7.7 91 39.1 17 7.3 107 45.9 233 100
 University degree or higher 21 7.1 106 35.7 29 9.8 141 47.4 297 100
Family history of breast cancer 0.079
 No 122 11.1 341 31 113 10.3 524 47.6 1100 100
 Yes 61 11 193 34.8 55 9.9 246 44.3 555 100
 Unknown 9 16.7 16 29.6 11 20.4 18 33.3 54 100
Family history of cervical cancer 0.262
 No 148 10.6 455 32.7 145 10.4 645 46.3 1393 100
 Yes 22 11.3 62 31.8 19 9.7 92 47.2 195 100
 Unknown 22 17.6 32 25.6 16 12.8 55 44 125 100
Family history of colorectal cancer 0.022
 No 140 11.1 389 30.8 135 10.7 598 47.4 1262 100
 Yes 28 9.6 117 40 23 7.9 124 42.5 292 100
 Unknown 23 14.7 42 26.9 21 13.5 70 44.9 156
Influenza vaccine 0.003
 Never 142 11.4 430 34.5 117 9.4 557 44.7 1246 100
 Each year or less often 48 10.4 121 26.3 61 13.3 230 50 460 100
GP consultation in the past 12 months 0.063
 No 20 13.2 61 40.4 12 8 58 38.4 151 100
 Yes 171 11 488 31.3 169 10.9 728 46.8 1556 100
Gynecologist consultation in the past 12 months <0.001
 No 175 24 159 21.8 152 20.9 242 33.3 728 100
 Yes 16 1.6 388 39.8 28 2.9 544 55.7 976 100
Gastroenterologist consultation in the past 12 months 0.263
 No 174 11.3 494 32.2 168 10.9 700 45.6 1536 100
 Yes 17 9.5 56 31.3 13 7.3 93 51.9 179 100
Supplementary health insurance 0.041
 No 6 15.4 11 28.2 9 23.1 13 33.3 39 100
 Yes 39 11 539 32.1 172 10.3 782 46.6 1532 100
Physical activity practice <0.001
 Less often or never 59 17.4 112 32.9 47 13.8 122 35.9 340 100
 Once a week or more 131 9.6 436 32.1 133 9.8 660 48.5 1360 100
Tobacco smoking 0.002
 No 149 10.3 456 31.5 150 10.3 694 47.9 1449 100
 Yes 42 16.1 94 36.2 30 11.5 94 36.2 260 100
Alcohol 0.248
 Less often or never 121 12.3 318 32.2 110 11.1 438 44.4 987 100
 Once a week or more 69 9.8 228 32.2 70 9.9 340 48.1 707 100
Fruit and vegetable consumption 0.003
 At least once per week 17 21 29 35.8 8 9.9 27 33.3 81 100
 Once a day 67 13 175 34 57 11.1 216 41.9 515 100
 Several times a day 104 9.4 344 31.1 114 10.3 544 49.2 1106 100

BMI: Body Mass Index

*percentages should be read in row. For example 46.2% of the whole population participated to all 3 screenings, while 32.1% participated to breast and cervical cancer screenings only, 10.5% to breast and colorectal cancer screenings only and 11.2% to breast cancer screening only.

Considering each cancer independently, more than ¾ of the responders (n = 1369, 78.3%) were up to date for cervical cancer screening and more than half (n = 1021, 56.6%) for colorectal cancer screening. Only 3.1% (n = 54) had never performed a Pap-smear test and 19.1% (n = 345) had never performed a FOBT test. Regarding the combination of all cancer screenings, 795 (46.2%) were up to date for the 3 cancer types, while 192 (11.2%) were up to date for breast cancer screening only, including 21 women who had never undergone either colorectal or cervical cancer tests. Five hundred and fifty two women (32.1%) were up to date for female cancer screenings only, (i.e. breast and cervical cancers) and 181 (10.5%) for organized cancer screenings only, (i.e. breast and colorectal cancers).

The highest rates of all screening participation were observed among women who had consulted a gynecologist in the past 12 months (55.7%), followed by women with normal BMI, retired women (50.9%) and women aged between 59 and 65 (50.3%).

On the contrary, women who underwent neither cervical nor colorectal cancer screening had not consulted a gynecologist in the past year (24.0%), were mostly unemployed (19.1%) and had a low level of physical activity (less than once a week, 17.4%).

The highest rates of female cancer screenings only were observed among senior managers, the self-employed or traders (46.2%), or women aged less than 59 (40.5%), and those who had not consulted a GP in the past year (40.4%).

Participation rates for organized cancer screening only tended to be systematically lower compared to others modalities (i.e. breast and cervical cancers screening, only breast cancer screening and the 3 screenings compliance).

Regular medical follow up was associated with better screening compliance. Among women who had consulted a GP in the past year or who received the flu vaccine each year, respectively 46.8% and 50% attended the 3 screenings, and only 11.0% and 10.4% underwent mammogram alone. Note that women with regular follow up by a GP were 78.1% to perform cervical cancer screening and 57.7% to perform colorectal screening. Women with regular gynecological follow up either attended all 3 screenings (55.7%) or breast and cervical cancer screening only, as stated above. Only 1.6% of them had mammogram alone and 2.9% were not up to date for cervical cancer screening. On the whole, 95.5% of women who visit a gynecologist in the past year were compliant with cervical cancer screening.

Polytomic regression

Given their low association with the outcome of interest, family history of cervical cancer (p = 0.262), gastroenterologist consultation in the past 12 months (p = 0.263) and alcohol consumption (p = 0.248) were not considered for multivariate analysis.

After adjustment for confounding factors and compared to women attending all 3 screenings, consultation with a gynecologist in the past year was associated with a higher chance of undergoing the 3 screenings or breast and cervical cancer screenings (lower risk of performing only breast screening (OR = 0.05, p<0.001) or breast and colorectal cancer screenings (OR = 0.09, p<0.001)). In the same time, women who had a GP consultation in the past year were more likely to perform the 3 screenings or breast and colorectal screenings (lower risk of performing only breast cancer screening (OR = 0.52, p = 0.044) or breast and cervical cancer screenings (OR = 0.65, p = 0.034). Women who were unemployed and those who suffer from obesity were more likely to attend no additional screening besides breast cancer screening (OR = 2.75, p = 0.004 and OR = 2.84, p<10–3, respectively) or to be compliant with breast plus colorectal cancer screenings (OR = 1.80, p = 0.061, and OR = 2.22, p = 0.004, respectively). This reflects a lower involvement in cervical cancer screening. For their part, women older than 59 and those who got a yearly flu vaccine were less likely to participate in gynecological cancer screenings only (OR = 0.57, p<0.001 and OR = 0.68, p = 0.008, respectively).

On the contrary, senior managers, self-employed, traders and women with a family history of colorectal cancer were more likely to attend only female cancer screenings, compared to all 3 screenings (OR = 1.65, p = 0.009 and OR = 1.48, p = 0.013, respectively). This reflects a lower involvement in organized colorectal cancer screening.

A low level of physical activity (less than once a week) tend to be associated with worse screening habits, i.e. only female cancer screenings participation (OR = 1.33, p = 0.076), only organized screenings participation (OR = 1.47, p = 0.105) or only breast cancer screening participation (OR = 1.88, p<0.001), even if statistical significance is reach only for the last modality. The same trend is observed among women living alone without achieving statistical significance. Finally, tobacco use was associated with higher risk of no additional screening participation besides breast screening (OR = 1.77, p = 0.027). Results are compiled in Table 4.

Table 4. Multivariate polytomic regression.

only breast screening compliance breast and cervical cancers screening compliance breast and CR cancers screening compliance
OR 95%CI p OR 95%CI p OR 95%CI p
Age
 [59–65] vs [50–59[ 1.10 0.61 1.62 0.995 0.57 0.42 0.78 <10–3 1.13 0.71 1.82 0.601
BMI
 [25–30 [vs < 25 1.54 0.98 2.40 0.67 1.28 0.97 1.681 0.263 1.20 0.77 1.87 0.316
 ≥ 30 vs < 25 2.84 1.67 4.77 <10–3 1.17 0.79 1.729 0.872 2.22 1.34 3.70 0.004
Marital status
 Alone vs in couple 1.49 0.97 2.29 0.07 1.25 0.95 1.651 0.114 1.49 0.98 2.26 0.062
Social and occupational group
 Senior manager, self-employed, shop-keeper vs ref 1.06 0.52 2.18 0.216 1.65 1.16 2.344 0.009 0.92 0.46 1.84 0.336
 Unemployed vs ref 2.75 1.52 5.00 0.004 1.11 0.72 1.705 0.758 1.80 0.98 3.31 0.061
 Retired vs ref 1.60 0.94 2.73 0.657 1.00 0.71 1.422 0.257 1.17 0.700 1.95 0.955
Family history of colorectal cancer
 Yes vs no 1.12 0.66 1.89 0.717 1.48 1.10 2.007 0.013 0.92 0.54 1.59 0.380
 Unknown vs no 1.54 0.81 2.93 0.261 0.91 0.59 1.414 0.203 1.44 0.77 2.66 0.218
Influenza vaccine
 Each year or less often vs never 0.75 0.48 1.17 0.204 0.69 0.53 0.910 0.008 1.19 0.79 1.78 0.400
GP consultation in the past 12 months
 Yes vs no 0.52 0.28 0.98 0.044 0.65 0.44 0.967 0.034 1.02 0.50 2.09 0.962
Gynecologist consultation in the past 12 months
 Yes vs no 0.05 0.03 0.09 <10–4 1.16 0.89 1.497 0.275 0.09 0.05 0.14 <10–4
Physical activity practice
 Less often or never vs once a week or more 1.88 1.20 2.95 <10–3 1.33 0.97 1.818 0.076 1.47 0.92 2.33 0.105
Tobacco smoking
 Yes vs no 1.77 1.07 2.95 0.027 1.33 0.94 1.87 0.103 1.37 0.82 2.30 0.234

OR: odds ratio, CR: colorectal, ref = employee, manual worker, farmer, junior manag

Noticed that no impact of the level of education (p = 0.214), or supplementary health insurance (p = 0.621) or a family history of breast cancer (p = 0.409) on screening habits was observed.

Discussion

We observed high participation rates in cervical cancer screening (78.3%) and colon cancer screening (56.6%) in this population of women compliant with breast cancer screening. Indeed, in 2011–2012, the participation rates in France for all ages are estimated to be 34% for colorectal cancer and 57% for cervical cancer [1314] [2223]. For cervical cancer screening, rates are even lower in the age group included in the present study, reaching about 47% among women aged 60–65 [24]. These higher levels of participation among our population may reflect a better health attitude of women still participating in breast cancer screening compared to the general population. This better health attitude is suggested by a lower rate of tobacco and alcohol use, a higher level of physical activity and a healthier diet compared to the general population [25]. Besides, it has previously been shown that participating in any cancer screening increases the participation rate in other cancer screening types [6] [9] [18]. In terms of public health policy this must be highlighted as promoting one screening may increase participation in the others.

Despite satisfying levels of participation, our population seem more aware of female cancer screenings, suggesting that women feel less concerned by colorectal cancer [21] or that they have a better gynecological follow-up. The types of screening tests are also quite different, which can explain the different participation levels. Mammogram is non-invasive and based on radiologic exam performed by a health care provider. On the contrary, the FOBT is proposed by the GP, but remains a self-administered test. Moreover, many people may feel reluctant to perform the test, which involves fecal manipulation [21] [26]. The new faecal immunobiological test (iFOBT), requiring only one stool sample versus six for the previous test, might be more convenient to use, yielding better screening participation [2728]. In addition, randomized trails reported that sigmoidoscopy screening reduced colorectal cancer incidence suggesting that FOBT may become of marginal interest in the future [2931]. Anyways, qualitative studies may be useful to provide explanations and insights into the women’s individual perceptions, thus exploring our results in greater depth. Indeed, this study presents the quantitative results of a larger project that includes both quantitative and qualitative approaches. The next step will be to analyze the psycho-social aspects of screening participation in a specific study consisting in semi-structured qualitative interviews. This will enable us to understand why women who have a preventive approach for one type of cancer failed to participate in specific screenings for other types of cancer (is it a financial concern? The nature of the exam? The representation of the disease? Why breast cancer, and not the other screening exams? Why 2 screenings and not all 3).

Regular follow up by a gynecologist was associated with higher chance of being compliant with all screenings or only female screening. As the same regular follow up by a GP was associated with higher chance of being compliant with all screenings or only organized screenings. This confirms the key-role of these health professionals in cancer prevention [18] [3233]. In the light of these results, we postulate that encouraging gynecologists to promote colorectal cancers screening, and GPs to encourage cervical cancer prevention, may improve screening coverage even further.

Not surprisingly older women were less likely to participate in cervical cancer screening as stated in many studies [3436]. Unemployed women compliant with mammogram were more likely to performed no additional screening or only colorectal screening. This impact of socio-economic conditions on cervical screening participation is well known [3640]. Adherence to organized colorectal cancer screening may be explained as it is free of charge in France. This is a strong argument in favor of the implementation of organized cervical cancer screening as planned in 2018 by the French government [4142]. The same trend of undergoing no additional screening or only colorectal screening is observed among obese women with less clear explanation as the determinants of obesity are complex. However, in France a significant association between overweight and socio economic level exists [4344]. Senior managers, self-employed, traders and women with a family history of colorectal cancer were more likely to attend female cancer screenings, compared to all 3 screenings. They are then less involved in colorectal cancer screening. A family history of colorectal cancer is often associated with a better gastroenterological follow-up, explaining lower participation in organized colorectal cancer screening, since these women likely undergo regular colonoscopy outside the context of organized colorectal cancer screening [45]. The same explanation may apply to high socio occupational classes which are more prone to benefit from individual screening as suggested by their high level of Pap smear compliance [40]. A low level of physical activity and tobacco use which may reflect unhealthy habits were associated with higher risk of being compliant with no additional screening, as previously highlighted [36] [46].

Our study found no association between educational level and screening compliance when several other studies did [3639] [47]. This may be related to the characteristics of our population including women still compliant with breast screening. Noticed that our population had quite similar level of education to French women with 19.9% of high-school degree in our sample versus 17.0% in France and 31.4% of women with university degree versus 28% [48].

This study presents some limitations that deserve to be underlined. One limitation is the use of self-reported data, which could be affected by biases related to the accuracy of data about screening history. This concerns only cervical cancer screening, since data from the ADECA database of confirmed test results were used to identify colorectal participation and should therefore not impact the results. Furthermore, many studies have concluded that self-reporting is fairly accurate, showing good agreement with administrative health data [4950]. Self-reported data are also subject to "social desirability" response bias. However this might be limited as our questionnaire was anonymous.

To conclude, colorectal and cervical cancer screening participation rates among women already undergoing breast cancer screening are satisfactory, but leave margin for improvement, especially for colorectal cancer. There still is a need to increase public awareness about the benefit of cancer screening. Encouraging gynecologists to promote colorectal cancer screening and GP to promote cervical cancer screening should be considered with a view to increasing participation rates in cancer screening. In the current context of low medical density in France, including midwives in the prevention offer is also an area that worth exploring to broaden the target audience.

Acknowledgments

We thank Dr Bruno Coudert for reviewing the manuscript, Fiona Caulfield for correcting the English, Johan Adnet and Adèle Cueff for sending the questionnaires.

Data Availability

Data are available in the methodology and biostatistic unit of Centre Georges Francois Leclerc (Clinsight database). Data access queries may be directed to the authors or to Julie Blanc, statistician in the unit (email: jblanc@cgfl.fr).

Funding Statement

This work was supported by grant from the "canceropoloe grand est" and Conseil Regional de Bourgogne Franche Comte. Funding was used to print questionnaire and to post them (https://www.canceropole-est.org/). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

Data are available in the methodology and biostatistic unit of Centre Georges Francois Leclerc (Clinsight database). Data access queries may be directed to the authors or to Julie Blanc, statistician in the unit (email: jblanc@cgfl.fr).


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