Impact of cancer diagnosis on life expectancy by area-level socioeconomic groups in New South Wales, Australia: a population-based study

被引:0
|
作者
Rahman, Md Mijanur [1 ]
David, Michael [1 ,2 ]
Goldsbury, David [1 ]
Canfell, Karen [1 ]
Kou, Kou [3 ]
Dasgupta, Paramita [3 ]
Baade, Peter [3 ]
Yu, Xue Qin [1 ]
机构
[1] Univ Sydney, Daffodil Ctr, Joint Venture Canc Council NSW, Sydney, NSW 1340, Australia
[2] Griffith Univ, Sch Med & Dent, Gold Coast, QLD 4222, Australia
[3] Canc Council Queensland, Brisbane, QLD 4006, Australia
基金
澳大利亚国家健康与医学研究理事会;
关键词
Cancer diagnosis; life expectancy; loss of life expectancy; area-level socioeconomic status; flexible parametric model; FLEXIBLE PARAMETRIC MODELS; RELATIVE SURVIVAL; DISPARITIES; INCREASE;
D O I
10.20892/j.issn.2095-3941.2024.0166
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Objective: Improvement in cancer survival over recent decades has not been accompanied by a narrowing of socioeconomic disparities. This study aimed to quantify the loss of life expectancy (LOLE) resulting from a cancer diagnosis and examine disparities in LOLE based on area-level socioeconomic status (SES). Methods: Data were collected for all people between 50 and 89 years of age who were diagnosed with cancer, registered in the NSW Cancer Registry between 2001 and 2019, and underwent mortality follow-up evaluations until December 2020. Flexible parametric survival models were fitted to estimate the LOLE by gender and area-level SES for 12 common cancers. Results: Of 422,680 people with cancer, 24% and 18% lived in the most and least disadvantaged areas, respectively. Patients from the most disadvantaged areas had a significantly greater average LOLE than patients from the least disadvantaged areas for cancers with high survival rates, including prostate [2.9 years (95% CI: 2.5-3.2 years) vs. 1.6 years (95% CI: 1.3-1.9 years)] and breast cancer [1.6 years (95% CI: 1.4-1.8 years) vs. 1.2 years (95% CI: 1.0-1.4 years)]. The highest average LOLE occurred in males residing in the most disadvantaged areas with pancreatic [16.5 years (95% CI: 16.1-16.8 years) vs. 16.2 years (95% CI: 15.7-16.7 years)] and liver cancer [15.5 years (95% CI: 15.0-16.0 years) vs. 14.7 years (95% CI: 14.0-15.5 years)]. Females residing in the least disadvantaged areas with thyroid cancer [0.9 years (95% CI: 0.4-1.4 years) vs. 0.6 years (95% CI: 0.2-1.0 years)] or melanoma [0.9 years (95% CI: 0.8-1.1 years) vs. 0.7 years (95% CI: 0.5-0.8 years)] had the lowest average LOLE. Conclusions: Patients from the most disadvantaged areas had the highest LOLE with SES-based differences greatest for patients diagnosed with cancer at an early stage or cancers with higher survival rates, suggesting the need to prioritise early detection and reduce treatment-related barriers and survivorship challenges to improve life expectancy.
引用
收藏
页码:692 / 702
页数:11
相关论文
共 50 条
  • [1] Impact of cancer diagnosis on life expectancy by area-level socioeconomic groups in New South Wales, Australia: a population-based study
    Md Mijanur Rahman
    Michael David
    David Goldsbury
    Karen Canfell
    Kou Kou
    Paramita Dasgupta
    Peter Baade
    Xue Qin Yu
    Cancer Biology & Medicine, 2024, 21 (08) : 692 - 702
  • [2] Impact of area-level socioeconomic status and accessibility to treatment on life expectancy after a cancer diagnosis in Queensland, Australia
    Kou, Kou
    Dasgupta, Paramita
    Aitken, Joanne F.
    Baade, Peter D.
    CANCER EPIDEMIOLOGY, 2020, 69
  • [3] Socioeconomic, remoteness and sex differences in life expectancy in New South Wales, Australia, 2001-2012: a population-based study
    Stephens, Alexandre S.
    Gupta, Leena
    Thackway, Sarah
    Broome, Richard A.
    BMJ OPEN, 2017, 7 (01):
  • [4] Prostate cancer prevalence in New South Wales Australia: A population-based study
    Yu, Xue Qin
    Luo, Qingwei
    Smith, David P.
    Clements, Mark S.
    O'Connell, Dianne L.
    CANCER EPIDEMIOLOGY, 2015, 39 (01) : 29 - 36
  • [5] Impact of geographic area level on measuring socioeconomic disparities in cancer survival in New South Wales, Australia: A period analysis
    Stanbury, Julia F.
    Baade, Peter D.
    Yu, Yan
    Yu, Xue Qin
    CANCER EPIDEMIOLOGY, 2016, 43 : 56 - 62
  • [6] Phase of care prevalence for prostate cancer in New South Wales, Australia: A population-based modelling study
    Yu, Xue Qin
    Luo, Qingwei
    Smith, David P.
    Clements, Mark S.
    Patel, Manish I.
    O'Connell, Dianne L.
    PLOS ONE, 2017, 12 (02):
  • [7] Individual-level and area-level socioeconomic inequalities in hearing impairment among Chinese adults: a population-based study
    Luo, Yanan
    Gao, Jiamin
    Zheng, Xiaoying
    JOURNAL OF EPIDEMIOLOGY AND COMMUNITY HEALTH, 2020, 74 (06) : 541 - 547
  • [8] Population-based Mammography Screening and Breast Cancer Incidence in New South Wales, Australia
    Clayton Chiu
    Stephen Morrell
    Andrew Page
    Mary Rickard
    Ann Brassil
    Richard Taylor
    Cancer Causes & Control, 2006, 17 : 153 - 160
  • [9] Population-based mammography screening and breast cancer incidence in New South Wales, Australia
    Chiu, C
    Morrell, S
    Page, A
    Rickard, M
    Brassil, A
    Taylor, R
    CANCER CAUSES & CONTROL, 2006, 17 (02) : 153 - 160
  • [10] Low area-level socioeconomic status and breast cancer biologic features in a diverse population-based sample.
    Griggs, Jennifer J.
    Dick, Andrew W.
    Hamilton, Ann S.
    Jagielski, Christina Helen
    Schwartz, Kendra L.
    Sorbero, Melony Elizabeth
    JOURNAL OF CLINICAL ONCOLOGY, 2014, 32 (15)