Breast cancer screening practice and associated factors: Women’s Health Survey in Uberaba MG Brazil, 2014

Buranello, Mariana Colombini; Meirelles, Maria Cristina Cortez Carneiro; Walsh, Isabel Aparecida Porcatti de; Pereira, Gilberto de Araujo; Castro, Shamyr Sulyvan de

doi:10.1590/1413-81232018238.14762016

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FREE THEMES • Ciênc. saúde colet. 23 (8) • Aug 2018 • https://doi.org/10.1590/1413-81232018238.14762016 copy

Breast cancer screening practice and associated factors: Women’s Health Survey in Uberaba MG Brazil, 2014

Authorship SCIMAGO INSTITUTIONS RANKINGS

Abstract

This study aimed to characterize women’s socioeconomic and epidemiological profile in Uberaba according to the breast cancer screening practice and identify associated factors with this practice. This is a cross-sectional research part of the Women’s Health Survey in Uberaba (MG). Data was collected by home interview, referring to socioeconomic and epidemiological issues and breast cancer screening practice, from a sample of 1,520 women above 20 years of age. After processing the data, we performed statistical analysis with measures of association by the Chi-square test, bivariate and multivariate Poisson regression, with a significance level of 5%. The results showed a profile of breast cancer screening practice with white women (66%), high schooling and per capita income, in common-law marriage (67,5%), non-heads of households (64,4%) and non-smokers (64,6%). Factors associated with higher practice were the age groups 40-49 and 50-69 years (PR = 0.7 and 0.64), per capita income higher than one minimum wage (PR = 1.17) and public or health plan mammography coverage (PR = 1.98 and 1.94). We can conclude that factors associated with breast cancer screening practice have been identified in the studied sample.

Women’s health; Secondary prevention; Epidemiological surveys

Variable	Breast cancer screening test n(%)	p**	Total n (%)
Age group	943(62.3%)	0.0001	1512 (100%)
20 ┤39 years	260(56.8%)		457(30.2%)
40 ┤ 49 years	172(70.2%)		245(16.2%)
50 ┤ 69 years	418(68.6%)		609(40.2%)
≥ 70 years	93(46.2%)		201(13.2%)
Schooling***	943(62.3%)	0.0001	1512(100%)
Illiterate	23(41%)		56 (3.7%)
Until 5 years	176(54.4%)		323(21.3%)
> 5 a < 9 years	230(64.6%)		356(23.5%)
9 a < 12 years	188(64.3%)		292(19.3%)
12 yearsor more	326(67.2%)		485(32%)
Race	939(62.4%)	0.003	1504(100%)
White	554(66%)		839(55.7%)
Black/Brown	364(58.4%)		623(41.4%)
Others	21(50%)		42(2.8%)
Marital status	942(62.3%)	0.0001	1511 (100%)
Single	177(52.8%)		335(22.1%)
Common-lawmarriage	540(67.5%)		800(52.9%)
Divorced	96 (65.7%)		146(9.6%)
Widow	129(56%)		230(15.2%)
Head ofthefamily	912(62%)	0.026	1471 (100%)
Yes	375(58.7%)		638 (43.3%)
No	537(64.4%)		833 (56.6%)
Per capita income****	943(62.3%)	0.0001	1512 (100%)
Until 0.5 MW	196(52.4%)		374(24.7%)
> 0.5 – 1 MW	331(65.5%)		521(34.4%)
> 1SM – 2.5 MW	282(65.2%)		432(28.5%)
> 2.5 MW	134(72.4%)		185(12.2%)
Smoking	929(62.2%)	0.002	1.492 (100%)
No	675(64.6%)		1044(69.9%)
Yes	154(53.4%)		288(19.3%)
Ex-smoker	100(62.5%)		160(10.7%)
Presense of Neoplasms	94(78.3%)	0.0001	120 (7.9%)
Benigni Breast Neoplasia	28 (93.3%)	0.0001	30 (1.9%)
Breastcancer	7(100%)	0.039	7(0.4%)
BMI	934(62.3%)	0.617	1497 (100%)
Low weight	62(59%)		105(7%)
Eutrophy	332(61.4%)		540(36%)
Overweight	360(62.3%)		577(38.5%)
Obesity	180(65.4%)		275(18.3%)
PhysicalActivityLevel	852(64.1%)	0.072	1.329 (100%)
Active	778(64.8%)		1.199(90.2%)
Inactive	74(56.9%)		130(9.7%)

Variables	n(%)	CrudePR	CI 95%	p**
Age group	943(62.3%)			0.001
20 ┤39 years	260(56.8%)	1
40 ┤49 years	172(70.2%)	1.23	1.01– 1.49	0.032
50 ┤69 years	418(68.6%)	1.20	1.03– 1.4	0.018
≥ 70 years	93(46.2%)	0.81	0.64– 1.03	0.087
Schooling***	943(62.3%)			0.036
Illiterate	23(41%)	1
Until 5 years	176(54.4%)	1.32	0.85– 2.04	0.202
> 5 a < 9 years	230(64.6%)	1.57	1.02– 2.41	0.038
9 a < 12 years	188(64.3%)	1.56	1.01– 2.41	0.042
12 yearsor more	326(67.2%)	1.63	1.07– 2.49	0.022
Race	939(62.4%)			0.107
White	554(66%)	1
Black/Brown	364(58.4%)	0.88	0.77– 1	0.070
Others	21(50%)	0.75	0.48– 1.17	0.211
Marital status	942(62.3%)			0.016
Single	177(52.8%)	1
Common-lawmarriage	540 (67.5%)	1.27	1.07– 1.51	0.005
Divorced	96 (65.7%)	1.24	0.97– 1.59	0.084
Widow	129(56%)	1.06	0.84– 1.33	0.606
Head ofthefamily	375(58.7%)	0.91	0.79 – 1.04	0.170
Per capita income****	943(62.3%)			0.020
Until 0.5 MW	196(52.4%)	1
> 0.5 – 1 MW	331(63.5%)	1.21	1.01– 1.44	0.033
> 1SM – 2.5 MW	282(65.2%)	1.24	1.03– 1.49	0.018
> 2.5 MW	134(72.4%)	1.38	1.1 – 1.72	0.004
PresenseofNeoplasms	94(78.3%)	1.28	1.03 – 1.58	0.025
Benigni Breast Neoplasia	28 (93.3%)	1.51	1.03– 2.2	0.043
Public payment of the MMG	431(71.4%)	1.26	1.11– 1.44	0.001
Health plan payment of the MMG	188(74%)	1.23	1.05– 1.44	0.010
Private payment of the MMG	27(69.3%)	1.11	0.75– 1.63	0.583

Variables	n(%)	Adjusted PR	IC 95%	p**
Per capita income****	943(62.3%)
Until 0.5 MW	196(52.4%)	1
> 0.5 – 1 MW	331(63.5%)	1.17	0.98– 1.4	0.07
> 1SM – 2.5 MW	282(65.2%)	1.22	1.01– 1.47	0.037
> 2.5 MW	134(72.4%)	1.33	1.06– 1.67	0.014
Benigni Breast Neoplasia	28 (93.3%)	1.34	0.92– 1.96	0.120
Age group	943(62.3%)
20 ┤39 years	260(56.8%)	1
40 ┤49 years	172(70.2%)	0.70	0.53– 0.93	0.014
50 ┤69 years	418(68.6%)	0.64	0.49– 0.83	0.001
≥ 70 years	93(46.2%)	0.45	0.33– 0.62	<0.001
Public payment of the MMG	431(71.4%)	1.98	1.55– 2.52	<0.001
Health plan payment of the MMG	188(74%)	1.94	1.49– 2.52	<0.001

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[1] Collaborations

MCCC Meirelles, IAP Walsh and GA Pereira: design, implementation and drafting and approval of the final manuscript. MC Buranello: implementation, analysis and final drafting of the manuscript. SS Castro: design, implementation, analysis and drafting and approval of the final manuscript.