Understanding the patterns of mammography use and monitoring changes in use are essential to improving national health policy for breast cancer control. We aimed to describe the use of mammography in Portugal and to identify the determinants of its nonuse and underuse by examining data from the National Health Survey 2014.
We analyzed data on 8,758 women aged 30 years or older. We defined women at an eligible age for mammography as women aged 45 to 69. Women who reported a previous mammography test were classified as ever-users and grouped according to time since the most recent test. We computed the prevalence of mammography use, and we used Poisson regression models to obtain age-adjusted and education-adjusted prevalence ratios and 95% confidence intervals.
The overall prevalence of mammography use was 80.0%, whereas nonuse was 20.0% and underuse 27.3% among users. The prevalence of nonuse and underuse were lower and associations with sociodemographic characteristics, use of health care services, and behavioral factors were stronger among women aged 45 to 69 than among women aged 30 to 44 and women aged 70 or older. The prevalence of mammography use was generally higher in the northern areas of Portugal than in southern areas and varied by marital status, educational level, and household size. A more frequent use of health care services and healthier behaviors were associated with lower prevalences of both nonuse and underuse.
This study illustrates inequalities in mammography use and provides useful information for better allocation of resources in breast cancer screening.
Breast cancer is the most frequent cancer among women in the world (
The European Council recommends the screening of women aged 50 to 69 years through mammography every 2 years; organized screening programs (ie, population-based screening programs aimed at the entire resident population of a given age range and sex, designed to detect malignant disease during the detectable preclinical phase [before the occurrence of symptoms], organized at national or regional level, with an explicit policy, a team responsible for organization and for health care, and a structure for quality assurance [
An evaluation of data from Portugal’s National Health Survey 2005–2006 concluded that the use of mammography among eligible women (ie, women aged 45 to 69) varied by region, sociodemographic characteristics, and access to and use of health care services (
Our analysis was based on data collected as part of the NHS 2014, which is a community-based cross-sectional study that evaluated a sample, obtained through multistage stratified and cluster sampling, of the population living in Portugal.
A sample of households was defined by using data from the 2011 Population and Housing Census; the sample was used as the sampling frame for household surveys conducted by Statistics Portugal. The sample consisted of 1,183 primary sampling units, selected systematically from larger geographical strata; the probability of selecting a primary sampling unit was proportional to the number of households in each unit. A random sample of the households was then selected, and all people aged 15 years or older living in these households at the date of the recruitment were eligible to participate. In each household, the selected person was the one whose previous birthday was closest to the date of the contact. The sample size was defined to ensure a homogeneous distribution of the participants among the 7 regions classified by NUTS (Nomenclature of Territorial Units for Statistics) Level 2 (
From September through December 2014, 22,538 households were approached and 18,204 people (56.4% women) were surveyed. All information was collected by using either computer-assisted personal interviewing or computer-assisted web interviewing (50% in each stratum). The questionnaire covered 4 thematic areas: health status, health care, health determinants, and income and health expenses. Use of mammography testing was assessed in a section on preventive care by asking 2 questions: “Have you ever had a mammography (breast x-ray)?” and, if yes, “When was the last time?” The latter question was followed by the response options “in the last 12 months,” “between 1 year and less than 2 years,” “between 2 years and less than 3 years,” and “3 years or more.” A total of 10,240 women provided information on mammography use. We restricted our analyses to women aged 30 years or older (n = 9,119). We further excluded data on 361 women for whom data were missing on the determinants of interest; our final sample consisted of 8,758 women. Women who reported having a previous mammogram were classified as ever-users and grouped further according to the time since the latest test: up to 2 years (including the options “in the last 12 months,” “between 1 year and less than 2 years,”) or 2 or more years (including the options “between 2 years and less than 3 years,” and “3 years or more”). The latter category (2 or more years) was defined as underuse.
We computed the prevalence of mammography testing and used Poisson regression models to compute age-adjusted and education-adjusted prevalence ratios (PRs) and 95% confidence intervals (CIs) to assess the determinants of mammography nonuse and underuse. All analyses were conducted with Stata version 11.2 (StataCorp LP) by using sampling weights computed according to design weight (ie, the inverse of the probability of selection of each primary sampling unit and of each household in each primary sampling unit, further corrected for nonresponse and for the effective number of participants evaluated, and taking into account the age- and sex-structures). For the determinants of nonuse, analyses were further stratified by age group. The analyses on determinants of underuse were restricted to the age group most commonly targeted by organized screening programs in Portugal (women aged 45 to 69).
Nearly half of the women in the study sample were aged 45 to 69 and therefore potentially eligible for breast cancer screening (
| Characteristics | No. | Unweighted % | Weighted % | Prevalence of Mammography Use, % (95% CI) |
|---|---|---|---|---|
|
| 8,758 | — | — | 80.0 (78.8-81.3) |
|
| ||||
| Norte | 1,326 | 15.1 | 34.8 | 79.9 (77.4–82.3) |
| Centro | 1,800 | 20.6 | 22.1 | 81.7 (79.5–83.8) |
| Lisboa | 971 | 11.1 | 27.2 | 83.8 (81.1–86.4) |
| Alentejo | 1,332 | 15.2 | 7.3 | 75.1 (72.4–77.8) |
| Algarve | 1,231 | 14.1 | 4.2 | 69.6 (66.6–72.6) |
| RA Açores | 947 | 10.8 | 2.0 | 65.8 (62.2–69.3) |
| RA Madeira | 1,151 | 13.1 | 2.4 | 70.9 (67.8–74.0) |
|
| ||||
| Densely populated area | 2,669 | 30.5 | 44.2 | 82.9 (80.9–84.9) |
| Intermediate density area | 2,872 | 32.8 | 28.8 | 77.6 (75.3–80.0) |
| Thinly populated area | 3,217 | 36.7 | 26.9 | 77.9 (75.7–80.1) |
|
| ||||
| Portuguese | 8,577 | 97.9 | 98.1 | 80.3 (79.0–81.5) |
| Other | 181 | 2.1 | 1.9 | 68.2 (58.3–78.0) |
|
| ||||
| 30–44 | 2,253 | 25.7 | 30.1 | 54.9 (52.0–57.8) |
| 45–49 | 774 | 8.8 | 10.3 | 94.4 (92.2–96.5) |
| 50–54 | 818 | 9.3 | 10.4 | 97.2 (95.8–98.5) |
| 55–59 | 790 | 9.0 | 9.6 | 96.1 (94.2–98.1) |
| 60–64 | 869 | 9.9 | 8.8 | 97.9 (96.6–99.2) |
| 65–69 | 846 | 9.7 | 8.2 | 95.3 (93.2–97.4) |
| ≥70 | 2,408 | 27.5 | 22.5 | 79.8 (77.3–82.3) |
|
| ||||
| Single | 1,273 | 14.5 | 13.7 | 59.4 (55.1–63.6) |
| Married | 4,541 | 51.8 | 63.3 | 83.5 (82.1–85.0) |
| Divorced | 965 | 11.0 | 8.9 | 86.8 (83.6–90.0) |
| Widowed | 1,979 | 22.6 | 14.1 | 80.2 (77.3–83.0) |
|
| ||||
| No basic level completed | 1,557 | 17.8 | 14.5 | 76.7 (73.5–80.0) |
| Second basic level completed | 3,555 | 40.6 | 37.7 | 89.0 (87.4–90.5) |
| Third basic level completed | 1,056 | 12.1 | 13.6 | 78.5 (74.9–82.0) |
| Secondary level completed | 1,168 | 13.3 | 15.5 | 73.6 (70.0–77.1) |
| Higher than secondary level completed | 1,422 | 16.2 | 18.7 | 71.2 (67.8–74.6) |
|
| ||||
| Employed | 3,520 | 40.2 | 45.2 | 75.5 (73.5–77.6) |
| Unemployed | 834 | 9.5 | 11.1 | 74.0 (69.8–78.2) |
| Retired or disabled | 3,274 | 37.4 | 31.3 | 85.8 (84.0–87.7) |
| Housewife | 1,130 | 12.9 | 12.3 | 87.3 (84.4–90.2) |
|
| ||||
| 1 | 2,533 | 28.9 | 13.9 | 78.4 (76.1–80.7) |
| 2 | 3,072 | 35.1 | 32.9 | 87.0 (85.4–88.6) |
| 3 | 1,678 | 19.2 | 28.0 | 76.6 (74.0–79.4) |
| 4 | 1,089 | 12.4 | 17.6 | 76.8 (73.4–80.1) |
| >4 | 386 | 4.4 | 7.5 | 72.8 (66.5–79.0) |
|
| ||||
| Quintile 1 | 2,025 | 23.1 | 20.7 | 78.3 (75.6–81.1) |
| Quintile 2 | 1,871 | 21.4 | 20.7 | 79.6 (77.0–82.2) |
| Quintile 3 | 1,807 | 20.6 | 20.7 | 80.9 (78.1–83.6) |
| Quintile 4 | 1,515 | 17.3 | 18.5 | 80.2 (77.2–83.1) |
| Quintile 5 | 1,540 | 17.6 | 19.4 | 81.4 (78.6–84.2) |
|
| ||||
| Only national health system | 7,039 | 80.4 | 80.8 | 78.1 (76.7–79.5) |
| National health system and other subsystem | 1,719 | 19.6 | 19.2 | 88.2 (86.0–90.4) |
|
| ||||
| No | 7,456 | 85.1 | 82.2 | 80.8 (79.5–82.1) |
| Yes | 1,302 | 14.9 | 17.8 | 76.5 (73.3–79.8) |
|
| ||||
| Very poor | 467 | 5.3 | 4.9 | 86.0 (83.5–88.6) |
| Poor | 1,433 | 16.4 | 14.3 | 86.6 (85.0–88.2) |
| Fair | 3,895 | 44.5 | 42.9 | 87.9 (83.6–92.2) |
| Good | 2,409 | 27.5 | 31.0 | 70.9 (68.3–73.6) |
| Very good | 554 | 6.3 | 6.9 | 62.4 (56.4–68.3) |
|
| ||||
| No | 2,525 | 28.8 | 32.2 | 71.4 (68.8–73.9) |
| Yes | 6,233 | 71.2 | 67.8 | 84.2 (82.8–85.5) |
|
| ||||
| More than 1 year ago (includes never) | 1,725 | 19.7 | 17.4 | 69.6 (66.3–73.0) |
| In the past year | 7,033 | 80.3 | 82.6 | 82.2 (80.9–83.6) |
|
| ||||
| More than 1 year ago (includes never) | 4,125 | 47.1 | 44.3 | 77.3 (75.4–79.2) |
| In the past year | 4,633 | 52.9 | 55.7 | 82.2 (80.6–83.8) |
|
| ||||
| Never | 2,771 | 31.6 | 21.6 | 66.3 (63.4–62.3) |
| Ever (at least once) | 5,987 | 68.4 | 78.4 | 83.8 (82.5–85.2) |
|
| ||||
| Never | 4,967 | 56.7 | 52.2 | 71.0 (69.1–73.0) |
| Ever (at least once) | 3,791 | 43.3 | 47.8 | 89.9 (88.5–91.3) |
|
| ||||
| <18.5 | 148 | 1.7 | 1.6 | 65.2 (53.4–76.9) |
| 18.5–24.9 | 3,574 | 40.8 | 43.6 | 74.9 (72.8–77.0) |
| 25.0–29.9 | 3,168 | 36.2 | 35.3 | 83.6 (81.7–85.4) |
| ≥30.0 | 1,868 | 21.3 | 19.5 | 86.4 (84.2–88.7) |
|
| ||||
| <5 | 6,989 | 79.8 | 77.7 | 78.8 (77.3–80.2) |
| ≥5 | 1,769 | 20.2 | 22.3 | 84.5 (82.1–86.9) |
|
| ||||
| Never | 6,695 | 76.5 | 74.7 | 81.1 (79.6–82.5) |
| Former | 1,020 | 11.6 | 13.3 | 80.1 (76.6–83.6) |
| Current | 1,043 | 11.9 | 12.0 | 73.7 (69.8–77.6) |
|
| ||||
| Never | 3,406 | 38.9 | 31.8 | 80.0 (78.0–82.0) |
| Former | 999 | 11.4 | 12.3 | 79.3 (75.6–83.1) |
| Current | 4,353 | 49.7 | 55.9 | 80.2 (78.5–81.9) |
Abbreviations: CI, confidence interval; NUTS 2, Nomenclature of Territorial Units for Statistics, level 2; RA, Região Autónoma (autonomous region).
Sampling weights were computed according to design weight (ie, the inverse of the probability of selection of each primary sampling unit and of each household in each primary sampling unit, further corrected for nonresponse and for the effective number of participants evaluated, and taking into account the age and sex structures).
Based on the share of local population living in urban clusters and in urban centers according to Commission Directorates-General for Regional and Urban Policy, Agriculture and Rural Development, Eurostat, Joint Research Centre, and the Organisation for Economic Co-operation and Development.
Self-reported weight and height were used to compute body mass index (kg/m2), which was divided into 3 categories according to the World Health Organization guidelines (
The overall prevalence of mammography use was 80.0% (95% CI, 78.8%–81.3%), whereas nonuse was 20.0% (95% CI, 18.7%–21.2%) (
Prevalence of mammography use in Portugal among women aged 30 years or older, according to the elapsed time since most recent test, by age group. Data are from the National Health Survey 2014.
Time Since Most Recent Test All Ages 30–44 y 45–49 y 50–54 y 55–59 y 60–64 y 65–69 y ≥70 y Never 20.0 45.1 5.6 2.8 3.9 2.1 4.7 20.2 ≥3 y 12.6 9.2 4.7 6.8 3.9 4.2 5.4 33.3 2 y to <3 y 9.2 7.8 9.3 4.6 8.4 5.9 10.1 14.6 1 y to <2 y 24.7 17.0 35.0 35.8 29.3 35.8 29.3 17.1 <1 y 33.5 20.9 45.4 50.1 54.6 52.0 50.6 14.8
Women aged 45 or older living in Alentejo, Algarve, RA Açores, or RA Madeira were more likely than similarly aged women living in Norte to never have had a mammogram (
| Characteristic | Aged 30–44 (n = 2,253) | Aged 45–69 (n = 4,097) | Aged ≥ 70 (n = 2,408) | |||
|---|---|---|---|---|---|---|
| % | Adjusted PR | % | Adjusted PR | % | Adjusted PR | |
|
| ||||||
| Norte | 48.7 | 1 [Reference] | 2.9 | 1 [Reference] | 19.0 | 1 [Reference] |
| Centro | 42.8 | 0.87 (0.74–1.01) | 3.2 | 1.06 (0.54–2.08) | 19.5 | 0.99 (0.71–1.36) |
| Lisboa | 36.1 | 0.72 (0.59–0.87) | 3.4 | 1.24 (0.59–2.61) | 14.6 | 0.85 (0.55–1.30) |
| Alentejo | 51.6 | 1.04 (0.88–1.23) | 6.1 | 2.13 (1.17–3.86) | 29.4 | 1.39 (1.03–1.88) |
| Algarve | 56.8 | 1.14 (0.97–1.32) | 9.6 | 3.29 (1.89–5.75) | 35.6 | 1.82 (1.36–2.45) |
| RA Açores | 66.2 | 1.32 (1.14–1.51) | 8.2 | 2.87 (1.56–5.27) | 35.4 | 1.88 (1.31–2.68) |
| RA Madeira | 57.2 | 1.16 (0.99–1.35) | 8.7 | 2.88 (1.62–5.10) | 32.4 | 1.64 (1.19–2.25) |
|
| ||||||
| Densely populated area | 41.3 | 1 [Reference] | 3.4 | 1 [Reference] | 14.0 | 1 [Reference] |
| Intermediate density area | 48.7 | 1.15 (1.00–1.33) | 4.0 | 1.18 (0.69–2.02) | 21.6 | 1.58 (1.14–2.20) |
| Thinly populated area | 47.3 | 1.11 (0.96–1.29) | 4.4 | 1.18 (0.70–2.00) | 26.9 | 1.75 (1.30–2.35) |
|
| ||||||
| Portuguese | 45.1 | 1 [Reference] | 0.4 | 1 [Reference] | 20.2 | 1 [Reference] |
| Other | 45.1 | 0.97 (0.71–1.32) | 14.5 | 3.84 (1.63–9.05) | — | — |
|
| ||||||
| Married | 42.7 | 1 [Reference] | 2.6 | 1 [Reference] | 12.9 | 1 [Reference] |
| Single | 57.4 | 1.06 (0.92–1.20) | 15.4 | 6.06 (3.82–9.62) | 30.5 | 1.54 (1.00–2.35) |
| Divorced | 32.1 | 0.80 (0.62–1.01) | 2.7 | 1.15 (0.64–2.06) | 6.4 | 0.67 (0.30–1.47) |
| Widowed | 24.9 | 0.90 (0.38–2.12) | 3.7 | 1.39 (0.72–2.70) | 26.5 | 1.36 (1.00–1.83) |
|
| ||||||
| Higher than secondary level completed | 48.7 | 1 [Reference] | 3.0 | 1 [Reference] | 2.1 | 1 [Reference] |
| Secondary level completed | 44.1 | 0.95 (0.82–1.11) | 3.2 | 1.11 (0.50–2.46) | 22.6 | 10.27 (3.16–33.37) |
| Third basic level completed | 45.2 | 0.95 (0.80–1.13) | 5.2 | 1.81 (0.83–3.92) | 10.1 | 4.39 (1.38–13.96) |
| Second basic level completed | 38.0 | 0.95 (0.78–1.15) | 3.3 | 1.28 (0.66–2.50) | 15.5 | 7.00 (2.66–18.40) |
| No basic level completed | 71.8 | 1.49 (1.05–2.12) | 8.2 | 3.29 (1.41–7.69) | 26.3 | 10.12 (3.90–26.28) |
|
| ||||||
| Employed | 44.8 | 1 [Reference] | 3.6 | 1 [Reference] | 18.6 | 1 [Reference] |
| Unemployed | 46.6 | 1.03 (0.89–1.20) | 6.4 | 1.82 (1.01–3.38) | — | — |
| Retired or disabled | 41.8 | 0.83 (0.46–1.50) | 2.8 | 0.64 (0.26–1.55) | 20.2 | 1.07 (0.17–6.79) |
| Housewife | 45.5 | 1.00 (0.70–1.42) | 4.3 | 1.09 (0.56–2.12) | 20.2 | 1.17 (0.18–7.54) |
|
| ||||||
| 2 | 50.9 | 1 [Reference] | 3.1 | 1 [Reference] | 14.6 | 1 [Reference] |
| 1 | 54.7 | 1.07 (0.88–1.30) | 5.4 | 1.77 (1.10–2.84) | 25.0 | 1.34 (1.04–1.71) |
| 3 | 47.5 | 0.93 (0.80–1.09) | 3.5 | 1.07 (0.55–2.10) | 25.6 | 1.28 (0.86–1.92) |
| 4 | 37.1 | 0.88 (0.74–1.05) | 5.0 | 1.51 (0.71–3.21) | 18.9 | 1.15 (0.50–2.62) |
| >4 | 47.9 | 1.01 (0.77–1.32) | 4.9 | 1.57 (0.66–3.75) | 24.2 | 1.59 (0.77–3.29) |
|
| ||||||
| Quintile 5 | 42.1 | 1 [Reference] | 2.9 | 1 [Reference] | 11.3 | 1 [Reference] |
| Quintile 4 | 43.8 | 1.04 (0.86–1.25) | 3.8 | 1.27 (0.53–3.03) | 11.6 | 0.72 (0.33–1.57) |
| Quintile 3 | 42.9 | 1.13 (0.92–1.39) | 2.9 | 0.93 (0.39–2.18) | 18.6 | 1.08 (0.57–2.06) |
| Quintile 2 | 53.0 | 1.42 (1.18–1.72) | 3.4 | 1.07 (0.43–2.67) | 21.2 | 1.24 (0.66–2.35) |
| Quintile 1 | 46.4 | 1.26 (1.01–1.57) | 6.0 | 1.78 (0.72–4.40) | 28.8 | 1.53 (0.81–2.89) |
|
| ||||||
| National health system and other subsystem | 33.3 | 1 [Reference] | 2.9 | 1 [Reference] | 10.2 | 1 [Reference] |
| Only national health system | 47.4 | 1.29 (1.06–1.58) | 4.1 | 1.18 (0.56–2.47) | 21.8 | 1.27 (0.74–2.17) |
|
| ||||||
| Yes | 43.2 | 1 [Reference] | 3.3 | 1 [Reference] | 9.5 | 1 [Reference] |
| No | 45.9 | 1.10 (0.96–1.26) | 4.0 | 1.11 (0.56–2.21) | 20.6 | 0.97 (0.50–1.88) |
|
| ||||||
| Fair | 38.7 | 1 [Reference] | 3.0 | 1 [Reference] | 17.8 | 1 [Reference] |
| Very poor | 27.7 | 0.72 (0.33–1.57) | 1.0 | 0.29 (0.11–0.76) | 17.2 | 0.89 (0.61–1.30) |
| Poor | 23.8 | 0.66 (0.40–1.10) | 2.2 | 0.65 (0.31–1.36) | 23.6 | 1.17 (0.90–1.51) |
| Good | 48.1 | 1.13 (0.97–1.32) | 5.5 | 2.12 (1.27–3.53) | 24.2 | 1.44 (0.99–2.10) |
| Very good | 51.6 | 1.19 (0.96–1.47) | 10.3 | 4.47 (2.04–9.80) | 21.5 | 1.46 (0.77–2.77) |
|
| ||||||
| Yes | 42.4 | 1 [Reference] | 2.8 | 1 [Reference] | 20.1 | 1 [Reference] |
| No | 47.3 | 1.04 (0.92–1.18) | 6.5 | 2.54 (1.56–4.13) | 20.7 | 1.27 (0.88–1.81) |
|
| ||||||
| In the past year | 43.7 | 1 [Reference] | 2.8 | 1 [Reference] | 18.1 | 1 [Reference] |
| More than 1 year ago (includes never) | 49.4 | 1.16 (1.01–1.32) | 9.2 | 3.27 (2.12–5.04) | 39.5 | 2.01 (1.58–2.54) |
|
| ||||||
| In the past year | 41.8 | 1 [Reference] | 2.2 | 1 [Reference] | 15.7 | 1 [Reference] |
| More than 1 year ago (includes never) | 49.8 | 1.22 (1.08–1.39) | 5.7 | 2.42 (1.53–3.83) | 26.0 | 1.52 (1.21–1.92) |
|
| ||||||
| Ever (at least once) | 43.2 | 1 [Reference] | 1.4 | 1 [Reference] | 3.6 | 1 [Reference] |
| Never | 61.8 | 1.28 (1.08–1.52) | 17.0 | 12.23 (7.86–19.03) | 36.8 | 7.76 (4.42–13.61) |
|
| ||||||
| Ever (at least once) | 36.9 | 1 [Reference] | 1.3 | 1 [Reference] | 13.1 | 1 [Reference] |
| Never | 47.7 | 1.20 (1.02–1.42) | 7.2 | 5.18 (3.03–8.88) | 30.8 | 2.12 (1.66–2.71) |
|
| ||||||
| 18.5–24.9 | 47.3 | 1 [Reference] | 3.8 | 1 [Reference] | 23.2 | 1 [Reference] |
| <18.5 | 39.6 | 0.87 (0.54–1.41) | 16.2 | 4.20 (1.42–12.39) | 45.5 | 1.67 (0.97–2.87) |
| 25.0–29.9 | 41.5 | 0.96 (0.83–1.12) | 4.0 | 1.04 (0.62–1.74) | 19.0 | 0.91 (0.71–1.18) |
| ≥30.0 | 43.6 | 1.02 (0.84–1.24) | 3.1 | 0.78 (0.46–1.35) | 14.4 | 0.71 (0.51–1.00) |
|
| ||||||
| ≥5 | 42.4 | 1 [Reference] | 2.2 | 1 [Reference] | 13.5 | 1 [Reference] |
| <5 | 45.8 | 1.01 (0.87–1.18) | 4.4 | 1.90 (1.00–3.61) | 21.4 | 1.17 (0.82–1.69) |
|
| ||||||
| Never | 45.1 | 1 [Reference] | 3.9 | 1 [Reference] | 20.9 | 1 [Reference] |
| Former | 42.0 | 0.90 (0.76–1.07) | 2.5 | 0.66 (0.32–1.33) | 8.9 | 0.64 (0.30–1.39) |
| Current | 48.0 | 1.06 (0.92–1.22) | 4.8 | 1.24 (0.67–2.27) | 4.5 | 0.32 (0.10–1.08) |
|
| ||||||
| Never | 44.3 | 1 [Reference] | 4.3 | 1 [Reference] | 21.8 | 1 [Reference] |
| Former | 46.8 | 1.04 (0.83–1.29) | 2.3 | 0.50 (0.28–0.88) | 24.0 | 1.12 (0.84–1.51) |
| Current | 45.2 | 1.04 (0.90–1.19) | 3.9 | 0.95 (0.61–1.47) | 16.8 | 0.81 (0.62–1.06) |
Abbreviations: CI, confidence interval; NUTS 2, Nomenclature of Territorial Units for Statistics, level 2; PR, prevalence ratio; RA, Região Autónoma (autonomous region).
Adjusted for age and education, except in education strata.
Based on the share of local population living in urban clusters and in urban centers according to Commission Directorates-General for Regional and Urban Policy, Agriculture and Rural Development, Eurostat, Joint Research Centre, and the Organisation for Economic Co-operation and Development.
Self-reported weight and height were used to compute body mass index (kg/m2), which was divided into 3 categories according to the World Health Organization guidelines (
Single women aged 45 to 69 were more likely than married women of that age to have never had a mammogram. By education level, the prevalence of mammography nonuse was significantly higher only among women with no basic educational level completed, compared with the highest level of education, except among women aged 70 or older, for whom the prevalence of nonuse was higher at all levels of education, compared with the highest level. Unemployed women at the time of the interview were more likely than employed women to have never had a mammogram in the age group 45 to 69. The prevalence of mammography nonuse was higher among women aged 45 or older living alone compared with similarly aged women in a household of 2 people. In the age group 30 to 44, the prevalence of nonuse was significantly higher among women in the 2 lowest quintiles of monthly household income per adult.
Women using only the NHS as their public health care provider were more likely to have never had a mammogram in the group aged 30 to 44, but we found no differences between women with private insurance and women without a private health insurance in any age group. In the age group 45 to 69, women who perceived their health status as very poor were less likely than women who perceived their health as fair to have never had a mammogram, while the opposite was observed for those who considered their health status as good or very good. In this same age group, women without a previous diagnosis of chronic disease were more likely to have never had a mammogram. The prevalence of mammography nonuse was significantly higher among women who had their most recent appointment with a general practitioner or a specialist physician more than one year before the interview and among who had never had a cervical cytology test or fecal occult blood test and/or colonoscopy in all age groups. Among women aged 45 to 69 years, the prevalence of mammography nonuse was higher among underweight women, compared with normal-weight women, and lower in former drinkers, compared with never-drinkers.
Women aged 45 to 69 living in Lisboa, Alentejo, Algarve, RA Açores, and RA Madeira were significantly more likely than similarly aged women living in Norte to underuse mammography; so were non-Portuguese women, compared with Portuguese women (
| Characteristic | % | Adjusted PR |
|---|---|---|
|
| ||
| Norte | 8.4 | 1 [Reference] |
| Centro | 12.5 | 1.45 (1.00–2.10) |
| Lisboa | 17.4 | 1.95 (1.35–2.83) |
| Alentejo | 14.8 | 1.74 (1.22–2.48) |
| Algarve | 20.5 | 2.40 (1.70–3.39) |
| RA Açores | 14.6 | 1.73 (1.19–2.52) |
| RA Madeira | 22.8 | 2.65 (1.89–3.71) |
|
| ||
| Densely populated area | 13.4 | 1 [Reference] |
| Intermediate density area | 12.0 | 0.97 (0.72–1.30) |
| Thinly populated area | 13.8 | 1.12 (0.84–1.48) |
|
| ||
| Portuguese | 12.8 | 1 [Reference] |
| Other | 30.8 | 2.34 (1.30–4.23) |
|
| ||
| Married | 11.2 | 1 [Reference] |
| Single | 22.1 | 1.87 (1.31–2.68) |
| Divorced | 17.3 | 1.52 (1.05–2.20) |
| Widowed | 15.4 | 1.36 (0.96–1.92) |
|
| ||
| Higher than secondary level completed | 16.4 | 1 [Reference] |
| Secondary level completed | 14.3 | 0.89 (0.56–1.42) |
| Third basic level completed | 13.0 | 0.80 (0.52–1.22) |
| Second basic level completed | 11.0 | 0.68 (0.48–0.97) |
| No basic level completed | 19.2 | 1.13 (0.70–1.84) |
|
| ||
| Employed | 13.4 | 1 [Reference] |
| Unemployed | 15.7 | 1.26 (0.86–1.87) |
| Retired or disabled | 12.8 | 0.78 (0.52–1.18) |
| Housewife | 10.9 | 0.81 (0.55–1.20) |
|
| ||
| 2 | 12.7 | 1 [Reference] |
| 1 | 14.7 | 1.08 (0.82–1.43) |
| 3 | 13.3 | 1.04 (0.76–1.43) |
| 4 | 8.7 | 0.64 (0.39–1.06) |
| >4 | 22.2 | 1.79 (1.08–2.96) |
|
| ||
| Quintile 5 | 12.2 | 1 [Reference] |
| Quintile 4 | 13.7 | 1.39 (0.89–2.18) |
| Quintile 3 | 12.5 | 1.37 (0.83–2.25) |
| Quintile 2 | 13.1 | 1.47 (0.89–2.42) |
| Quintile 1 | 13.9 | 1.61 (0.97–2.68) |
|
| ||
| National health system and other subsystem | 13.3 | 1 [Reference] |
| Only national health system | 13.0 | 1.17 (0.82–1.68) |
|
| ||
| Yes | 12.8 | 1 [Reference] |
| No | 13.1 | 1.14 (0.80–1.61) |
|
| ||
| Fair | 12.0 | 1 [Reference] |
| Very poor | 14.0 | 1.12 (0.64–1.97) |
| Poor | 11.3 | 0.94 (0.65–1.35) |
| Good | 13.9 | 1.11 (0.80–1.55) |
| Very good | 25.7 | 2.01 (1.28–3.15) |
|
| ||
| Yes | 12.4 | 1 [Reference] |
| No | 14.8 | 1.14 (0.86–1.52) |
|
| ||
| In the past year | 10.5 | 1 [Reference] |
| More than 1 year ago (includes never) | 27.1 | 2.50 (1.91–3.27) |
|
| ||
| In the past year | 10.4 | 1 [Reference] |
| More than 1 year ago (includes never) | 16.3 | 1.62 (1.26–2.08) |
|
| ||
| Ever (at least once) | 11.6 | 1 [Reference] |
| Never | 22.8 | 1.98 (1.52–2.57) |
|
| ||
| Ever (at least once) | 9.8 | 1 [Reference] |
| Never | 17.8 | 1.82 (1.43–2.33) |
|
| ||
| 18.5–24.9 | 13.6 | 1 [Reference] |
| <18.5 | 18.9 | 1.35 (0.58–3.14) |
| 25.0–29.9 | 12.8 | 0.97 (0.72–1.31) |
| ≥30.0 | 12.6 | 0.98 (0.70–1.37) |
|
| ||
| ≥5 | 10.3 | 1 [Reference] |
| <5 | 14.1 | 1.45 (1.06–1.97) |
|
| ||
| Never | 12.0 | 1 [Reference] |
| Former | 13.4 | 1.06 (0.72–1.57) |
| Current | 19.4 | 1.59 (1.12–2.25) |
|
| ||
| Never | 14.6 | 1 [Reference] |
| Former | 8.3 | 0.58 (0.36–0.94) |
| Current | 13.2 | 0.90 (0.69–1.17) |
Abbreviations: CI, confidence interval; NUTS 2, Nomenclature of Territorial Units for Statistics, level 2; PR, prevalence ratio; RA, Região Autónoma (autonomous region).
Most recent mammography performed 2 or more years ago.
Adjusted for age and education, except in education strata.
Based on the share of local population living in urban clusters and in urban centers according to Commission Directorates-General for Regional and Urban Policy, Agriculture and Rural Development, Eurostat, Joint Research Centre, and the Organisation for Economic Co-operation and Development.
Self-reported weight and height were used to compute body mass index (kg/m2), which was divided into 3 categories according to the World Health Organization guidelines (
Women who perceived themselves as having a very good health were more likely than women who perceived their health as fair to underuse mammography, as were women who had their most recent appointment with a general practitioner or specialist physician more than one year before the interview and those who had never had a cervical cytology test or fecal occult blood test and/or colonoscopy.
The prevalence of mammography underuse was higher among women eating fewer than 5 portions of fruits and vegetables per day, compared with women who ate at least 5 portions, and among current smokers, compared with never-smokers, whereas the opposite was found for former drinkers. Former drinkers were less likely than never-drinkers to underuse mammography.
Our data showed that 96.2% of women eligible for breast cancer screening in 2014 had ever received a mammogram, an increase of approximately 10% (from 87.6%) in mammography use since the 2005–2006 National Health Survey (
Although the results of our study cannot be generalized to other settings, because our data depended on how breast cancer screening is performed in Portugal, namely through implementation of organized screening programs and local specificities of the health care system, our findings are similar to those reported for other countries using comparable methodologies. Countries such as France (
We found that rates of mammography nonuse and underuse among women aged 45 to 69 years were higher in the southern regions of Portugal than in the northern region. This finding is in accordance with a recent evaluation of the breast cancer screening program in the northern region of Portugal (
Our results are in line with previous evaluations of breast cancer screening uptake by national health surveys, identifying poorer socioeconomic status and lower levels of use of health care services as the main determinants of mammography testing (
Other sociodemographic characteristics were identified as determinants of mammography use in our study, namely the degree of urbanization among older women. Other studies that account for population density support our findings (
In our study, the prevalence of mammography nonuse increased as self-perceived health status improved, consistent with a study in Italy (
Other studies have also reported higher levels of adherence to breast cancer screening among those who have healthy lifestyles, namely women who are physically active (
The main strength of this study is the evaluation of a large representative sample of women living in Portugal. The study provides information on patterns of mammography use and identifies the major determinants of use. These data can be used to improve the national health policy for breast cancer screening. However, this study also has several limitations. Although the 2 questions on mammography use in the NHS 2014 were part of a section referring to preventive care, we cannot ascertain that all women who reported having mammogram had one for screening purposes and not for diagnostic purposes. As a result, we may have underestimated the prevalence of mammography nonuse for screening purposes. Furthermore, even if all women who reported having a mammogram had one for screening purposes, no survey question asked whether the mammogram was received through an organized screening program or through opportunistic screening. This precludes a direct comparison of our results with the results of previous evaluations of organized screening programs and comparisons between organized screening programs and opportunistic screening (
Although our results showed an increase in mammography use in the last 10 years in Portugal, regional differences persist, especially among women in the age range most commonly targeted by organized screening programs conducted at the national level. Differences according to sociodemographic characteristics and access to and use of health care services illustrate inequalities in mammography testing. This study provides useful information for a better allocation of resources for breast cancer screening, namely taking into account the regional and socioeconomic factors identified as possible barriers.
The authors thank the Instituto Nacional de Estatística for providing data. The Inquérito Nacional de Saúde 2014 was conducted under the supervision of the Departamento de Estatísticas Demográficas e Sociais/Serviço de Estatísticas das Condições de Vida from Instituto Nacional de Estatística, with the collaboration of the Instituto Nacional de Saúde Doutor Ricardo Jorge and Unit F5 “Education, health and social protection” of Eurostat. The work of B.P. was supported by Fundação para a Ciência e a Tecnologia (grant nos. SFRH/BPD/75918/2011 and SFRH/BPD/108751/2015). Epidemiology Research Unit is funded by the Fundação para a Ciência e a Tecnologia (grant no. UID/DTP/04750/2013). The authors declare no conflicts of interest.
The opinions expressed by authors contributing to this journal do not necessarily reflect the opinions of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors' affiliated institutions.