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Quality of Life Research

Gepubliceerd in:

19-01-2021

Subjective life expectancy and associated factors among cancer survivors over 45 years old: evidence from the CHARLS

Auteurs: Zhishui Chen, Dawei Zhu, Xingyu Hu, Guangying Gao

Gepubliceerd in: Quality of Life Research | Uitgave 6/2021

Abstract

Purpose

Associations between subjective life expectancy (SLE) and a variety of factors are well documented, but the relationship regarding cancer is limited. The purpose of this study was to disclose this potential relationship and identify the covariates that might influence this relationship.

Methods

Data were extracted from the China Health and Retirement Longitudinal Study (CHARLS), and a sample of 448 cancer survivors and 43,795 individuals without cancer were analyzed. Multilevel mixed-effects logistic regression was performed to examine the SLE associated with cancer survivors and participants without cancer after controlling for demographic, socioeconomic, health-related, and psychosocial factors.

Results

The findings revealed that cancer survivors had a 39% reduction in longer life expectancy compared to respondents without cancer. Disparities in SLE existed based on diverse individual characteristics. The rate of high SLE in urban citizens was 75% higher compared to that of rural residents, while the rate of high SLE in participants with disability fell by 55%. The rate of high SLE decreased by 22% and 35% in respondents with high blood pressure and diabetes, respectively. The proportion of respondents with high SLE was reduced by 70% when depression was present. Furthermore, the out-of-pocket expenditures of participants with and without cancer showed a significant difference, but discrepancies with respect to SLE among different cancer treatment options were not found.

Conclusion

The more challenging one’s socioeconomic status is and the unhealthier one’s physical and mental conditions are, the lower one’s prospect of subjective life expectancy is. Further work is warranted to confirm the causal association between subjective life expectancy and certain characteristics in cancer survivors.

vorige artikel Association between frequency of laughter and oral health among community-dwelling older adults: a population-based cross-sectional study in Japan

volgende artikel Longitudinal change of quality of life in the first five years of survival among disease-free Chinese breast cancer survivors

Siegel, M., Bradley, E. H., & Kasl, S. V. (2003). Self-rated life expectancy as a predictor of mortality: Evidence from the HRS and AHEAD surveys. Gerontology, 49(4), 265–271. https://doi.org/10.1159/000070409.CrossRefPubMed

Sonnega, A., Faul, J. D., Ofstedal, M. B., Langa, K. M., Phillips, J. W., & Weir, D. R. (2014). Cohort profile: The health and retirement study (HRS). International Journal of Epidemiology, 43(2), 576–585. https://doi.org/10.1093/ije/dyu067.CrossRefPubMedPubMedCentral

Steptoe, A., Breeze, E., Banks, J., & Nazroo, J. (2013). Cohort profile: The English longitudinal study of ageing. International Journal of Epidemiology, 42(6), 1640–1648. https://doi.org/10.1093/ije/dys168.CrossRefPubMed

Bosch-Farré, C., Garre-Olmo, J., Bonmatí-Tomàs, A., Malagón-Aguilera, M. C., Gelabert-Vilella, S., Fuentes-Pumarola, C., et al. (2018). Prevalence and related factors of Active and Healthy Ageing in Europe according to two models: Results from the Survey of Health, Ageing and Retirement in Europe (SHARE). PLoS ONE, 13(10), e0206353. https://doi.org/10.1371/journal.pone.0206353.CrossRefPubMedPubMedCentral

Zhao, Y., Hu, Y., Smith, J. P., Strauss, J., & Yang, G. (2014). Cohort profile: The China Health and Retirement Longitudinal Study (CHARLS). International Journal of Epidemiology, 43(1), 61–68. https://doi.org/10.1093/ije/dys203.CrossRefPubMed

Choi, Y., Lee, K. S., Shin, J., Kwon, J. A., & Park, E. C. (2017). Effects of a change in social activity on quality of life among middle-aged and elderly Koreans: Analysis of the Korean longitudinal study of aging (2006–2012). Geriatrics & Gerontology International, 17(1), 132–141. https://doi.org/10.1111/ggi.12685.CrossRef

Lee, S., & Smith, J. (2016). Methodological aspects of subjective life expectancy: Effects of culture-specific reporting heterogeneity among older adults in the United States. Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 71(3), 558–568. https://doi.org/10.1093/geronb/gbv048.CrossRef

Ziegelmann, J. P., Lippke, S., & Schwarzer, R. (2006). Subjective residual life expectancy in health self-regulation. Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 61(4), P195-201. https://doi.org/10.1093/geronb/61.4.p195.CrossRef

Bodner, E., & Bergman, Y. S. (2016). Loneliness and depressive symptoms among older adults: The moderating role of subjective life expectancy. Psychiatry Research, 237, 78–82. https://doi.org/10.1016/j.psychres.2016.01.074.CrossRefPubMed

10.

Prochaska, J. D., Jupiter, D. C., Horel, S., Vardeman, J., & Burdine, J. N. (2020). Rural-urban differences in estimated life expectancy associated with neighborhood-level cumulative social and environmental determinants. Preventive Medicine, 139, 106214. https://doi.org/10.1016/j.ypmed.2020.106214.CrossRefPubMed

11.

Perozek, M. (2008). Using subjective expectations to forecast longevity: Do survey respondents know something we don’t know? Demography, 45(1), 95–113. https://doi.org/10.1353/dem.2008.0010.CrossRefPubMedPubMedCentral

12.

Kim, J. H., & Kim, J. M. (2017). Subjective life expectancy is a risk factor for perceived health status and mortality. Health and Quality of Life Outcomes, 15(1), 190. https://doi.org/10.1186/s12955-017-0763-0.CrossRefPubMedPubMedCentral

13.

Palloni, A., & Novak, B. (2016). Subjective survival expectations and observed survival: How consistent are they? Vienna Yearbook of Population Research, 14, 187–227. https://doi.org/10.1553/populationyearbook2016s187.CrossRefPubMedPubMedCentral

14.

Philipov, D., & Scherbov, S. (2020). Subjective length of life of European individuals at older ages: Temporal and gender distinctions. PLoS ONE, 15(3), e0229975. https://doi.org/10.1371/journal.pone.0229975.CrossRefPubMedPubMedCentral

15.

Wu, H. (2020). How do co- and non-residential children impact your subjective life expectancy: An empirical study on CHARLS Data? International Journal of Health and Planning Management, 35(2), 532–544. https://doi.org/10.1002/hpm.2946.CrossRef

16.

Péntek, M., Brodszky, V., Gulácsi, Á. L., Hajdú, O., van Exel, J., Brouwer, W., et al. (2014). Subjective expectations regarding length and health-related quality of life in Hungary: Results from an empirical investigation. Health Expectations, 17(5), 696–709. https://doi.org/10.1111/j.1369-7625.2012.00797.x.CrossRefPubMed

17.

Griffin, B., Loh, V., & Hesketh, B. (2013). A mental model of factors associated with subjective life expectancy. Social Science and Medicine, 82, 79–86. https://doi.org/10.1016/j.socscimed.2013.01.026.CrossRefPubMed

18.

Feng, R. M., Zong, Y. N., Cao, S. M., & Xu, R. H. (2019). Current cancer situation in China: Good or bad news from the 2018 Global Cancer Statistics? Cancer Communication (London), 39(1), 22. https://doi.org/10.1186/s40880-019-0368-6.CrossRef

19.

Zhou, M., Wang, H., Zeng, X., Yin, P., Zhu, J., Chen, W., et al. (2019). Mortality, morbidity, and risk factors in China and its provinces, 1990–2017: A systematic analysis for the Global Burden of Disease Study 2017. The Lancet, 394(10204), 1145–1158. https://doi.org/10.1016/S0140-6736(19)30427-1.CrossRef

20.

Huang, H.-Y., Shi, J.-F., Guo, L.-W., Zhu, X.-Y., Wang, L., Liao, X.-Z., et al. (2016). Expenditure and financial burden for common cancers in China: A hospital-based multicentre cross-sectional study. The Lancet, 388, S10. https://doi.org/10.1016/S0140-6736(16)31937-7.CrossRef

21.

Zeng, H., Chen, W., Zheng, R., Zhang, S., Ji, J. S., Zou, X., et al. (2018). Changing cancer survival in China during 2003–15: A pooled analysis of 17 population-based cancer registries. Lancet Global Health, 6(5), e555–e567. https://doi.org/10.1016/s2214-109x(18)30127-x.CrossRefPubMed

22.

Pak, T. Y., Kim, H., & Kim, K. T. (2020). The long-term effects of cancer survivorship on household assets. Health Economy Review, 10(1), 2. https://doi.org/10.1186/s13561-019-0253-7.CrossRef

23.

Ekenga, C. C., Kwon, E., Kim, B., & Park, S. (2020). Long-term employment outcomes among female cancer survivors. International Journal of Environmental Research and Public Health. https://doi.org/10.3390/ijerph17082751.CrossRefPubMedPubMedCentral

24.

Lunet, N., Pereira, S., Dias, T., Fontes, F., Araújo, N., Lopes-Conceição, L., et al. (2019). Changes in employment status up to 5 years after breast cancer diagnosis: A Prospective Cohort Study (Vol. 48, Vol. 12): The Breast.

25.

Cagle, J. G., Lee, J., Ornstein, K. A., & Guralnik, J. M. (2020). Hospice utilization in the United States: A prospective cohort study comparing cancer and noncancer deaths. Journal of the American Geriatrics Society, 68(4), 783–793. https://doi.org/10.1111/jgs.16294.CrossRefPubMed

26.

Ellis, L., Canchola, A. J., Spiegel, D., Ladabaum, U., Haile, R., & Gomez, S. L. (2018). Racial and ethnic disparities in cancer survival: The contribution of tumor, sociodemographic, institutional, and neighborhood characteristics. Journal of Clinical Oncology, 36(1), 25–33. https://doi.org/10.1200/jco.2017.74.2049.CrossRefPubMed

27.

Elder, T. E. (2013). The predictive validity of subjective mortality expectations: Evidence from the Health and Retirement Study. Demography, 50(2), 569–589. https://doi.org/10.1007/s13524-012-0164-2.CrossRefPubMed

28.

Keyes, C. L. M., & Westerhof, G. J. (2012). Chronological and subjective age differences in flourishing mental health and major depressive episode. Aging Mental Health, 16(1), 67–74. https://doi.org/10.1080/13607863.2011.596811.CrossRefPubMed

29.

Lee, S., McClain, C., Webster, N., & Han, S. (2016). Question order sensitivity of subjective well-being measures: Focus on life satisfaction, self-rated health, and subjective life expectancy in survey instruments. Quality of Life Research, 25(10), 2497–2510. https://doi.org/10.1007/s11136-016-1304-8.CrossRefPubMed

30.

Kobayashi, L. C., von Wagner, C., & Wardle, J. (2017). Perceived life expectancy is associated with colorectal cancer screening in England. Annals of Behavioral Medicine, 51(3), 327–336. https://doi.org/10.1007/s12160-016-9855-z.CrossRefPubMed

31.

van Solinge, H., & Henkens, K. (2010). Living longer, working longer? The impact of subjective life expectancy on retirement intentions and behaviour. European Journal of Public Health, 20(1), 47–51. https://doi.org/10.1093/eurpub/ckp118.CrossRefPubMed

32.

Liu, J., Rozelle, S., Xu, Q., Yu, N., & Zhou, T. (2019). Social engagement and elderly health in China: Evidence from the China Health and Retirement Longitudinal Survey (CHARLS). International Journal of Environmental Research and Public Health. https://doi.org/10.3390/ijerph16020278.CrossRefPubMedPubMedCentral

33.

Milić, S., Lulić, D., & Štimac, D. (2014). Non-alcoholic fatty liver disease and obesity: Biochemical, metabolic and clinical presentations. World Journal of Gastroenterology, 20(28), 9330–9337. https://doi.org/10.3748/wjg.v20.i28.9330.CrossRefPubMedPubMedCentral

34.

Zaninotto, P., & Steptoe, A. (2019). Association Between Subjective Well-being and Living Longer Without Disability or Illness. JAMA Netw Open, 2(7), e196870. https://doi.org/10.1001/jamanetworkopen.2019.6870.CrossRefPubMedPubMedCentral

35.

Jin, Y., Zhu, D., & He, P. (2020). Social causation or social selection? The longitudinal interrelationship between poverty and depressive symptoms in China. Social Science and Medicine, 249, 112848. https://doi.org/10.1016/j.socscimed.2020.112848.CrossRefPubMed

36.

Austin, P. C. (2010). Estimating multilevel logistic regression models when the number of clusters is low: A comparison of different statistical software procedures. International Journal of Biostatistics, 6(1), Article 16. https://doi.org/10.2202/1557-4679.1195.

37.

Shinan-Altman, S., & Werner, P. (2019). Subjective age and its correlates among middle-aged and older adults. The International Journal of Aging and Human Development, 88(1), 3–21. https://doi.org/10.1177/0091415017752941.CrossRefPubMed

38.

Freedman, R. A., Keating, N. L., Pace, L. E., Lii, J., McCarthy, E. P., & Schonberg, M. A. (2017). Use of surveillance mammography among older breast cancer survivors by life expectancy. Journal of Clinical Oncology, 35(27), 3123–3130. https://doi.org/10.1200/jco.2016.72.1209.CrossRefPubMedPubMedCentral

39.

Schapmire, T. J., & Faul, A. C. (2017). Depression symptoms in older adults with cancer: A multilevel longitudinal study. Journal of Psychosocial Oncology, 35(3), 260–277. https://doi.org/10.1080/07347332.2017.1286698.CrossRefPubMed

40.

Péntek, M., Brodszky, V., Biró, Z., Kölkedi, Z., Dunai, Á., Németh, J., et al. (2017). Subjective health expectations of patients with age-related macular degeneration treated with antiVEGF drugs. BMC Geriatrics, 17(1), 233–233. https://doi.org/10.1186/s12877-017-0619-9.CrossRefPubMedPubMedCentral

41.

Zhang, X., Dupre, M. E., Qiu, L., Zhou, W., Zhao, Y., & Gu, D. (2017). Urban-rural differences in the association between access to healthcare and health outcomes among older adults in China. BMC Geriatrics, 17(1), 151. https://doi.org/10.1186/s12877-017-0538-9.CrossRefPubMedPubMedCentral

42.

Hendi, A. S. (2017). Trends in education-specific life expectancy, data quality, and shifting education distributions: A note on recent research. Demography, 54(3), 1203–1213. https://doi.org/10.1007/s13524-017-0574-2.CrossRefPubMedPubMedCentral

43.

Han, X., Yabroff, K. R., Ward, E., Brawley, O. W., & Jemal, A. (2018). Comparison of insurance status and diagnosis stage among patients with newly diagnosed cancer before vs after implementation of the Patient Protection and Affordable Care Act. JAMA Oncology, 4(12), 1713–1720. https://doi.org/10.1001/jamaoncol.2018.3467.CrossRefPubMedPubMedCentral

44.

Kontis, V., Bennett, J. E., Mathers, C. D., Li, G., Foreman, K., & Ezzati, M. (2017). Future life expectancy in 35 industrialised countries: Projections with a Bayesian model ensemble. Lancet, 389(10076), 1323–1335. https://doi.org/10.1016/s0140-6736(16)32381-9.CrossRefPubMedPubMedCentral

45.

Moussa, R. K., & Diaby, V. (2020). Self-assessed life expectancy among older adults in Côte d’Ivoire. BMC Public Health, 20(1), 932. https://doi.org/10.1186/s12889-020-09034-4.CrossRefPubMedPubMedCentral

46.

van Solinge, H., & Henkens, K. (2018). Subjective life expectancy and actual mortality: Results of a 10-year panel study among older workers. European Journal of Ageing, 15(2), 155–164. https://doi.org/10.1007/s10433-017-0442-3.CrossRefPubMed

47.

Arpino, B., Bordone, V., & Scherbov, S. (2018). Smoking, education and the ability to predict own survival probabilities. Advances in Life Course Research, 37, 23–30. https://doi.org/10.1016/j.alcr.2018.06.001.CrossRef

48.

Zuniga, K., & Bishop, N. (2018). Recent cancer treatment and memory decline in older adults: An analysis of the 2002–2012 Health and Retirement Study (Vol. 9, Vol. 3): J Geriatr Oncol.

49.

Guimarães, R. M., & Andrade, F. C. D. (2020). Healthy life-expectancy and multimorbidity among older adults: Do inequality and poverty matter? Archives of Gerontology and Geriatrics, 90, 104157. https://doi.org/10.1016/j.archger.2020.104157.CrossRefPubMed

Titel: Subjective life expectancy and associated factors among cancer survivors over 45 years old: evidence from the CHARLS
Auteurs: Zhishui Chen
Dawei Zhu
Xingyu Hu
Guangying Gao
Publicatiedatum: 19-01-2021
Uitgeverij: Springer International Publishing
Gepubliceerd in: Quality of Life Research / Uitgave 6/2021
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-020-02751-8

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Abstract

Purpose

Methods

Results

Conclusion

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