| Literature DB >> 30216346 |
Min-Min Tan1,2, Weang-Kee Ho1,2, Sook-Yee Yoon2, Shivaani Mariapun2, Siti Norhidayu Hasan2, Daphne Shin-Chi Lee2, Tiara Hassan2, Sheau-Yee Lee2, Sze-Yee Phuah2, Kavitta Sivanandan2, Patsy Pei-Sze Ng2, Nadia Rajaram1,2, Maheswari Jaganathan2, Suniza Jamaris3, Tania Islam3, Kartini Rahmat3,4, Farhana Fadzli4, Anushya Vijayananthan4, Pathmanathan Rajadurai5,6, Mee-Hong See3, Meow-Keong Thong7, Nur Aishah Mohd Taib3, Cheng-Har Yip5, Soo-Hwang Teo2.
Abstract
BACKGROUND: Breast cancer risk factors have been examined extensively in Western setting and more developed Asian cities/countries. However, there are limited data on developing Asian countries. The purpose of this study was to examine breast cancer risk factors and the change of selected risk factors across birth cohorts in Malaysian women.Entities:
Mesh:
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Year: 2018 PMID: 30216346 PMCID: PMC6138391 DOI: 10.1371/journal.pone.0203469
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Socio-demographic characteristics of 3,683 breast cancer cases and 3,980 controls in a hospital-based case-control study of breast cancer.
| Variables | Cases (N = 3,683) | Controls (N = 3,980) | p | ||
|---|---|---|---|---|---|
| N | % | N | % | ||
| <0.001 | |||||
| <45 | 1051 | 29.35 | 595 | 15.02 | |
| 45–54 | 1268 | 35.41 | 1556 | 39.27 | |
| 55–64 | 851 | 23.76 | 1297 | 32.74 | |
| >65 | 411 | 11.48 | 514 | 12.97 | |
| <0.001 | |||||
| Chinese | 2481 | 68.74 | 2106 | 53.11 | |
| Indian | 436 | 12.08 | 860 | 21.69 | |
| Malay | 610 | 16.9 | 846 | 21.34 | |
| Other | 82 | 2.27 | 153 | 3.86 | |
| <0.001 | |||||
| Primary or less | 214 | 17.16 | 308 | 8.31 | |
| Secondary | 556 | 44.59 | 2010 | 54.25 | |
| Tertiary | 477 | 38.25 | 1387 | 37.44 | |
| 0.672 | |||||
| <5,000 | 703 | 57.67 | 2267 | 58.81 | |
| 5–10,000 | 319 | 26.17 | 1003 | 26.02 | |
| >10,000 | 197 | 16.16 | 585 | 15.18 | |
Clinical, exogenous hormonal, and menstrual and reproductive factors and their association with breast cancer.
| Variables | Cases/Controls | OR(95%CI) | OR(95%CI) |
|---|---|---|---|
| No | 972/1,807 | ||
| Yes | 249/214 | 2.42(1.96–3.00) | 2.27(1.82–2.83) |
| No | 3,170/3,478 | ||
| Yes | 513/502 | 1.10(0.96–1.27) | 1.19(1.02–1.38) |
| Never | 2,452/2,806 | ||
| Ever | 935/1,145 | 1.02(0.91–1.14) | 0.99(0.88–1.11) |
| Never | 419/1,452 | ||
| Ever | 51/259 | 0.52(0.44–0.61) | 0.48(0.4–0.58) |
| ≤12 | 1,178/1,611 | ||
| >12 | 1,714/2,329 | 1.04(0.94–1.15) | 1.04(0.94–1.16) |
| Pre/Peri-menopausal | 1,149/1,550 | ||
| Post-menopausal | 1771/2,408 | 1.53(1.33–1.76) | 1.52(1.32–1.75) |
| ≤50 | 217/862 | ||
| >50 | 246/822 | 0.86(0.71–1.03) | 0.89(0.73–1.08) |
| Nulliparous | 473/552 | ||
| Parous | 2,778/3,366 | 1.05(0.91–1.20) | 1.13(0.97–1.31) |
| 1 | 319/337 | ||
| 2 | 828/974 | 0.97(0.81–1.18) | 1.09(0.82–1.46) |
| 3 | 800/1,020 | 0.97(0.8–1.17) | 0.98(0.73–1.32) |
| 4 | 460/586 | 1.12(0.91–1.38) | 0.99(0.72–1.38) |
| ≥5 | 370/449 | 1.49(1.19–1.86) | 1.20(0.85–1.69) |
| <25 | 925/940 | ||
| 25–29 | 1,039/1,506 | 1.09(0.87–1.37) | 1.0(0.79–1.28) |
| ≥30 | 744/845 | 1.38(1.08–1.77) | 1.29(0.99–1.67) |
| Never | 532/684 | ||
| Ever | 942/2,514 | 0.56(0.48–0.65) | 0.65(0.55–0.78) |
| None | 532/684 | ||
| ≤12 | 766/1,678 | 0.60(0.51–0.7) | 0.73(0.61–0.88) |
| >12 | 173/836 | 0.40(0.32–0.5) | 0.30(0.22–0.4) |
*p<0.05;
***p<0.001
1Natural menopause;
2Parous women only
3 Adjusted for age, ethnicity, and hospital, except history of breast surgery, which is adjusted for age, ethnicity, and education and only participants from private hospital are included
4Adjusted for age, ethnicity, hospital and breast cancer risk factors (age of menarche, menopausal status, ever had full term pregnancy, first degree family history of breast cancer, parity, age of first full term pregnancy, ever breastfed, breastfeeding duration when appropriate), except history of breast surgery, which is adjusted for age, ethnicity, education and relevant breast cancer risk factors, and only participants from private hospital are included
Anthropometric and lifestyle factors and their association with breast cancer.
| Variables | Cases/Controls | OR(95%CI) | OR(95%CI) |
|---|---|---|---|
| <1.53 | 224/399 | ||
| 1.53–1.57 | 401/666 | 1.10(0.88–1.37) | 1.07(0.84–1.35) |
| >1.57 | 589/950 | 1.08(0.88–1.34) | 1.06(0.84–1.33) |
| <23.0 | 654/757 | ||
| 23.0–27.4 | 388/758 | 0.68(0.57–0.81) | 0.67(0.56–0.81) |
| ≥27.5 | 165/493 | 0.53(0.43–0.67) | 0.47(0.37–0.61) |
| Never | 1202/3,745 | ||
| Ever | 93/214 | 0.97(0.74–1.28) | 0.75(0.56–1.01) |
| Non-drinker | 1073/3,394 | ||
| Less than 1 glass per week | 98/279 | 0.71(0.55–0.91) | 0.45(0.34–0.59) |
| 1 glass per week or more | 71/169 | 0.75(0.55–1.02) | 0.52(0.37–0.71) |
| None | 795/2362 | ||
| 1 cup per week or less | 382/1036 | 1.17(1–1.37) | 1.24(1.03–1.49) |
| 1 cup or more per week | 72/521 | 0.36(0.27–0.48) | 0.25(0.18–0.33) |
| Once a week/less | 403/401 | ||
| Once a week or more | 614/1,476 | 0.39(0.33–0.47) | 0.40(0.33–0.48) |
| <10 | 368/404 | ||
| 10–20 | 282/576 | 0.58(0.47–0.72) | 0.55(0.44–0.7) |
| >20 | 425/942 | 0.59(0.48–0.72) | 0.58(0.47–0.72) |
| <10 | 524/518 | ||
| 10–20 | 307/639 | 0.52(0.43–0.63) | 0.50(0.41–0.61) |
| >20 | 243/785 | 0.35(0.29–0.43) | 0.35(0.29–0.44) |
| <10 | 518/706 | ||
| 10–20 | 407/759 | 0.73(0.61–0.87) | 0.72(0.59–0.87) |
| >20 | 168/490 | 0.45(0.36–0.56) | 0.42(0.33–0.53) |
*p<0.05;
**p<0.01;
***p<0.001
1Adjusted for age, ethnicity, and education. Only participants from private hospital were included
2Adjusted for age, ethnicity, education, and breast cancer risk factors (age of menarche, menopausal status, ever had full term pregnancy, first degree family history of breast cancer, parity, age of first full term pregnancy, ever breastfed, breastfeeding duration, ever had breast surgery when appropriate). Only participants from private hospital were included
Fig 1Change of breast cancer risk factors across birth cohorts.