Trends in Female Breast Cancer by Age Group in the Chiang Mai Population

Sripan, Patumrat; Sriplung, Hutcha; Pongnikorn, Donsuk; Virani, Shama; Bilheem, Surichai; Chaisaengkhaum, Udomlak; Maneesai, Puttachart; Waisri, Narate; Hanpragopsuk, Chirapong; Tansiri, Panrada; Khamsan, Varunee; Poungsombat, Malisa; Mawoot, Aumnart; Chitapanarux, Imjai

doi:10.22034/APJCP.2017.18.5.1411

Trends in Female Breast Cancer by Age Group in the Chiang Mai Population

Document Type : Research Articles

Authors

¹ Northern Thai Research Group of Radiation Oncology (NTRG-RO), Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand

² Chiang Mai Cancer Registry, Faculty of Medicine, Chiang Mai University, Thailand

³ Division of Radiation Oncology, Department of Radiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand

⁴ Epidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand

⁵ Cancer Registry Unit, Lampang Cancer Hospital, Lampang, Thailand

⁶ Department of Environmental Health Sciences, University of Michigan, Ann Arbor, MI, USA

10.22034/APJCP.2017.18.5.1411

Abstract

Objectives: This study was conducted to determine incidence trends of female breast cancer according to age groups and to predict future change in Chiang Mai women through 2028. Method: Data were collected from all hospitals in Chiang Mai in northern Thailand, from 1989 through 2013, and used to investigate effects of age, year of diagnosis (period) and year of birth (cohort) on female breast cancer incidences using an age-period-cohort model. This model features geometric cut trends to predict change by young (groups. Result: Of 5, 417 female breast cancer patients with a median age of 50 years (interquartile range: 43 to 59 years), 15%, 61% and 24% were young, middle-aged and elderly, respectively. Seventy nine percent of cancer cases in this study were detected at advanced stage. The trend in stage classification showed an increase in percentage of early stage and a decrease in metastatic cancers. Linear trends for cohort and period were not found in young females but were observed in middle-aged and elderly groups. Age-standardized rates (ASR) can be expected to remain stable around 6.8 per 100,000 women-years in young females. In the other age groups, the ASR trends were calculated to increase and reach peaks in 2024 of 120.2 and 138.2 per 100,000 women-years, respectively. Conclusion: Cohort effects or generation-specific effects, such as life style factors and the year of diagnosis (period) might have impacted on increased incidence in women aged over 40 years but not those under 40 years. A budget should be provided for treatment facilities and strategies to detect early stage cancers. The cost effectiveness of screening measures i.e. mammographic screening may need to be reconsidered for women age over 40 years.

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