Skip to main content
Top
Published in: BMC Medicine 1/2022

01-12-2022 | Hypertension | Research article

Temporal trajectories of important diseases in the life course and premature mortality in the UK Biobank

Authors: Xianwen Shang, Xueli Zhang, Yu Huang, Zhuoting Zhu, Xiayin Zhang, Shunming Liu, Jiahao Liu, Shulin Tang, Wei Wang, Honghua Yu, Zongyuan Ge, Mingguang He

Published in: BMC Medicine | Issue 1/2022

Login to get access

Abstract

Background

Little is known regarding life-course trajectories of important diseases. We aimed to identify diseases that were strongly associated with mortality and test temporal trajectories of these diseases before mortality.

Methods

Our analysis was based on UK Biobank. Diseases were identified using questionnaires, nurses’ interviews, or inpatient data. Mortality register data were used to identify mortality up to January 2021. The association between 60 individual diseases at baseline and in the life course and incident mortality was examined using Cox proportional regression models. Those diseases with great contribution to mortality were identified and disease trajectories in life course were then derived.

Results

During a median follow-up of 11.8 years, 31,373 individuals (median age at death (interquartile range): 70.7 (65.3–74.8) years, 59.4% male) died of all-cause mortality (with complete data on diagnosis date of disease), with 16,237 dying with cancer and 6702 with cardiovascular disease (CVD). We identified 37 diseases including cancers and heart diseases that were associated with an increased risk of mortality independent of other diseases (hazard ratio ranged from 1.09 to 7.77). Among those who died during follow-up, 2.2% did not have a diagnosis of any disease of interest and 90.1% were diagnosed with two or more diseases in their life course. Individuals who were diagnosed with more diseases in their life course were more likely to have longer longevity. Cancer was more likely to be diagnosed following hypertension, hypercholesterolemia, CVD, or digestive disorders and more likely to be diagnosed ahead of CVD, chronic kidney disease (CKD), or digestive disorders. CVD was more likely to be diagnosed following hypertension, hypercholesterolemia, or digestive disorders and more likely to be diagnosed ahead of cancer or CKD. Hypertension was more likely to precede other diseases, and CKD was more likely to be diagnosed as the last disease before more mortality.

Conclusions

There are significant interplays between cancer and CVD for mortality. Cancer and CVD were frequently clustered with hypertension, CKD, and digestive disorders with CKD highly being diagnosed as the last disease in the life course. Our findings underline the importance of health checks among middle-aged adults for the prevention of premature mortality.
Appendix
Available only for authorised users
Literature
1.
go back to reference Statistics WH. World health statistics 2018: monitoring health for the SDGs, sustainable development goals. Geneva: World Health Organization; 2018. Statistics WH. World health statistics 2018: monitoring health for the SDGs, sustainable development goals. Geneva: World Health Organization; 2018.
2.
go back to reference Organization WH. Global status report on non-communicable diseases 2010. Geneva: World Health Organization; 2010. Organization WH. Global status report on non-communicable diseases 2010. Geneva: World Health Organization; 2010.
3.
go back to reference Roth GA, Abate D, Abate KH, Abay SM, Abbafati C, Abbasi N, et al. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018;392(10159):1736–88.CrossRef Roth GA, Abate D, Abate KH, Abay SM, Abbafati C, Abbasi N, et al. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018;392(10159):1736–88.CrossRef
5.
go back to reference Hiam L, Harrison D, McKee M, Dorling D. Why is life expectancy in England and Wales ‘stalling’? J Epidemiol Community Health. 2018;72(5):404–8.PubMedCrossRef Hiam L, Harrison D, McKee M, Dorling D. Why is life expectancy in England and Wales ‘stalling’? J Epidemiol Community Health. 2018;72(5):404–8.PubMedCrossRef
6.
go back to reference Banerjee S. Multimorbidity--older adults need health care that can count past one. Lancet. 2015;385(9968):587–9.PubMedCrossRef Banerjee S. Multimorbidity--older adults need health care that can count past one. Lancet. 2015;385(9968):587–9.PubMedCrossRef
7.
go back to reference Wallace E, Salisbury C, Guthrie B, Lewis C, Fahey T, Smith SM. Managing patients with multimorbidity in primary care. BMJ. 2015;350:h176.PubMedCrossRef Wallace E, Salisbury C, Guthrie B, Lewis C, Fahey T, Smith SM. Managing patients with multimorbidity in primary care. BMJ. 2015;350:h176.PubMedCrossRef
8.
go back to reference Jani BD, Hanlon P, Nicholl BI, McQueenie R, Gallacher KI, Lee D, et al. Relationship between multimorbidity, demographic factors and mortality: findings from the UK Biobank cohort. BMC Med. 2019;17(1):74.PubMedPubMedCentralCrossRef Jani BD, Hanlon P, Nicholl BI, McQueenie R, Gallacher KI, Lee D, et al. Relationship between multimorbidity, demographic factors and mortality: findings from the UK Biobank cohort. BMC Med. 2019;17(1):74.PubMedPubMedCentralCrossRef
9.
go back to reference Siggaard T, Reguant R, Jørgensen IF, Haue AD, Lademann M, Aguayo-Orozco A, et al. Disease trajectory browser for exploring temporal, population-wide disease progression patterns in 7.2 million Danish patients. Nat Commun. 2020;11(1):4952.PubMedPubMedCentralCrossRef Siggaard T, Reguant R, Jørgensen IF, Haue AD, Lademann M, Aguayo-Orozco A, et al. Disease trajectory browser for exploring temporal, population-wide disease progression patterns in 7.2 million Danish patients. Nat Commun. 2020;11(1):4952.PubMedPubMedCentralCrossRef
10.
go back to reference Jensen AB, Moseley PL, Oprea TI, Ellesøe SG, Eriksson R, Schmock H, et al. Temporal disease trajectories condensed from population-wide registry data covering 6.2 million patients. Nat Commun. 2014;5:4022.PubMedCrossRef Jensen AB, Moseley PL, Oprea TI, Ellesøe SG, Eriksson R, Schmock H, et al. Temporal disease trajectories condensed from population-wide registry data covering 6.2 million patients. Nat Commun. 2014;5:4022.PubMedCrossRef
11.
go back to reference Han X, Hou C, Yang H, Chen W, Ying Z, Hu Y, et al. Disease trajectories and mortality among individuals diagnosed with depression: a community-based cohort study in UK Biobank. Mol Psychiatry. 2021:26(11):6736–6746. Han X, Hou C, Yang H, Chen W, Ying Z, Hu Y, et al. Disease trajectories and mortality among individuals diagnosed with depression: a community-based cohort study in UK Biobank. Mol Psychiatry. 2021:26(11):6736–6746.
12.
go back to reference Sudlow C, Gallacher J, Allen N, Beral V, Burton P, Danesh J, et al. UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLoS Med. 2015;12(3):e1001779.PubMedPubMedCentralCrossRef Sudlow C, Gallacher J, Allen N, Beral V, Burton P, Danesh J, et al. UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLoS Med. 2015;12(3):e1001779.PubMedPubMedCentralCrossRef
14.
go back to reference Lourida I, Hannon E, Littlejohns TJ, Langa KM, Hyppönen E, Kuzma E, et al. Association of lifestyle and genetic risk with incidence of dementia. JAMA. 2019;322(5):430–7.PubMedPubMedCentralCrossRef Lourida I, Hannon E, Littlejohns TJ, Langa KM, Hyppönen E, Kuzma E, et al. Association of lifestyle and genetic risk with incidence of dementia. JAMA. 2019;322(5):430–7.PubMedPubMedCentralCrossRef
15.
go back to reference Ferrie JE, Shipley MJ, Cappuccio FP, Brunner E, Miller MA, Kumari M, et al. A prospective study of change in sleep duration: associations with mortality in the Whitehall II cohort. Sleep. 2007;30(12):1659–66.PubMedPubMedCentralCrossRef Ferrie JE, Shipley MJ, Cappuccio FP, Brunner E, Miller MA, Kumari M, et al. A prospective study of change in sleep duration: associations with mortality in the Whitehall II cohort. Sleep. 2007;30(12):1659–66.PubMedPubMedCentralCrossRef
16.
go back to reference Committee IR. Guidelines for data processing and analysis of the International Physical Activity Questionnaire (IPAQ)—short and long forms. In: The International Physical Activity Questionnaire; 2005. Committee IR. Guidelines for data processing and analysis of the International Physical Activity Questionnaire (IPAQ)—short and long forms. In: The International Physical Activity Questionnaire; 2005.
17.
go back to reference Mozaffarian D. Dietary and policy priorities for cardiovascular disease, diabetes, and obesity: a comprehensive review. Circulation. 2016;133(2):187–225.PubMedPubMedCentralCrossRef Mozaffarian D. Dietary and policy priorities for cardiovascular disease, diabetes, and obesity: a comprehensive review. Circulation. 2016;133(2):187–225.PubMedPubMedCentralCrossRef
18.
go back to reference Timmers P, Wilson JF, Joshi PK, Deelen J. Multivariate genomic scan implicates novel loci and haem metabolism in human ageing. Nature Commun. 2020;11(1):3570.CrossRef Timmers P, Wilson JF, Joshi PK, Deelen J. Multivariate genomic scan implicates novel loci and haem metabolism in human ageing. Nature Commun. 2020;11(1):3570.CrossRef
19.
go back to reference Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Ser. 1995;57:289–300. Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Ser. 1995;57:289–300.
21.
go back to reference Song E, Sun H, Xu Y, Ma Y, Zhu H, Pan CW. Age-related cataract, cataract surgery and subsequent mortality: a systematic review and meta-analysis. PLoS One. 2014;9(11):e112054.PubMedPubMedCentralCrossRef Song E, Sun H, Xu Y, Ma Y, Zhu H, Pan CW. Age-related cataract, cataract surgery and subsequent mortality: a systematic review and meta-analysis. PLoS One. 2014;9(11):e112054.PubMedPubMedCentralCrossRef
22.
go back to reference Trott M, Smith L, Veronese N, Pizzol D, Barnett Y, Gorely T, et al. Eye disease and mortality, cognition, disease, and modifiable risk factors: an umbrella review of meta-analyses of observational studies. Eye (Lond). 2022;36(2):369–78.CrossRef Trott M, Smith L, Veronese N, Pizzol D, Barnett Y, Gorely T, et al. Eye disease and mortality, cognition, disease, and modifiable risk factors: an umbrella review of meta-analyses of observational studies. Eye (Lond). 2022;36(2):369–78.CrossRef
23.
go back to reference Saavalainen L, But A, Tiitinen A, Härkki P, Gissler M, Haukka J, et al. Mortality of midlife women with surgically verified endometriosis-a cohort study including 2.5 million person-years of observation. Hum Reprod. 2019;34(8):1576–86.PubMedCrossRef Saavalainen L, But A, Tiitinen A, Härkki P, Gissler M, Haukka J, et al. Mortality of midlife women with surgically verified endometriosis-a cohort study including 2.5 million person-years of observation. Hum Reprod. 2019;34(8):1576–86.PubMedCrossRef
25.
go back to reference Duncan ME, Goldacre MJ. Mortality trends for benign prostatic hyperplasia and prostate cancer in English populations 1979-2006. BJU Int. 2011;107(1):40–5.PubMedCrossRef Duncan ME, Goldacre MJ. Mortality trends for benign prostatic hyperplasia and prostate cancer in English populations 1979-2006. BJU Int. 2011;107(1):40–5.PubMedCrossRef
26.
go back to reference Taksler GB, Rothberg MB. Assessing years of life lost versus number of deaths in the United States, 1995-2015. Am J Public Health. 2017;107(10):1653–9.PubMedPubMedCentralCrossRef Taksler GB, Rothberg MB. Assessing years of life lost versus number of deaths in the United States, 1995-2015. Am J Public Health. 2017;107(10):1653–9.PubMedPubMedCentralCrossRef
27.
go back to reference Seretis A, Cividini S, Markozannes G, Tseretopoulou X, Lopez DS, Ntzani EE, et al. Association between blood pressure and risk of cancer development: a systematic review and meta-analysis of observational studies. Sci Rep. 2019;9(1):8565.PubMedPubMedCentralCrossRef Seretis A, Cividini S, Markozannes G, Tseretopoulou X, Lopez DS, Ntzani EE, et al. Association between blood pressure and risk of cancer development: a systematic review and meta-analysis of observational studies. Sci Rep. 2019;9(1):8565.PubMedPubMedCentralCrossRef
28.
go back to reference Shang X, Peng W, Hill E, Szoeke C, He M, Zhang L. Incidence of medication-treated depression and anxiety associated with long-term cancer, cardiovascular disease, diabetes and osteoarthritis in community-dwelling women and men. EClinicalMedicine. 2019;15:23–32.PubMedPubMedCentralCrossRef Shang X, Peng W, Hill E, Szoeke C, He M, Zhang L. Incidence of medication-treated depression and anxiety associated with long-term cancer, cardiovascular disease, diabetes and osteoarthritis in community-dwelling women and men. EClinicalMedicine. 2019;15:23–32.PubMedPubMedCentralCrossRef
29.
go back to reference Catalá-López F, Forés-Martos J, Driver JA, Page MJ, Hutton B, Ridao M, et al. Association of anorexia nervosa with risk of cancer: a systematic review and meta-analysis. JAMA Network Open. 2019;2(6):e195313.PubMedPubMedCentralCrossRef Catalá-López F, Forés-Martos J, Driver JA, Page MJ, Hutton B, Ridao M, et al. Association of anorexia nervosa with risk of cancer: a systematic review and meta-analysis. JAMA Network Open. 2019;2(6):e195313.PubMedPubMedCentralCrossRef
30.
go back to reference Sundbøll J, Thygesen SK, Veres K, Liao D, Zhao J, Gregersen H, et al. Risk of cancer in patients with constipation. Clin Epidemiol. 2019;11:299–310.PubMedPubMedCentralCrossRef Sundbøll J, Thygesen SK, Veres K, Liao D, Zhao J, Gregersen H, et al. Risk of cancer in patients with constipation. Clin Epidemiol. 2019;11:299–310.PubMedPubMedCentralCrossRef
31.
go back to reference Lahner E, Capasso M, Carabotti M, Annibale B. Incidence of cancer (other than gastric cancer) in pernicious anaemia: a systematic review with meta-analysis. Dig Liver Dis. 2018;50(8):780–6.PubMedCrossRef Lahner E, Capasso M, Carabotti M, Annibale B. Incidence of cancer (other than gastric cancer) in pernicious anaemia: a systematic review with meta-analysis. Dig Liver Dis. 2018;50(8):780–6.PubMedCrossRef
32.
go back to reference (IHME) IfHMaE. Global burden of disease results tool. Washington: University of Washington; 2016. (IHME) IfHMaE. Global burden of disease results tool. Washington: University of Washington; 2016.
33.
go back to reference Flint AC, Conell C, Ren X, Banki NM, Chan SL, Rao VA, et al. Effect of systolic and diastolic blood pressure on cardiovascular outcomes. N Engl J Med. 2019;381(3):243–51.PubMedCrossRef Flint AC, Conell C, Ren X, Banki NM, Chan SL, Rao VA, et al. Effect of systolic and diastolic blood pressure on cardiovascular outcomes. N Engl J Med. 2019;381(3):243–51.PubMedCrossRef
34.
go back to reference Silverman MG, Ference BA, Im K, Wiviott SD, Giugliano RP, Grundy SM, et al. Association between lowering LDL-C and cardiovascular risk reduction among different therapeutic interventions: a systematic review and meta-analysis. JAMA. 2016;316(12):1289–97.PubMedCrossRef Silverman MG, Ference BA, Im K, Wiviott SD, Giugliano RP, Grundy SM, et al. Association between lowering LDL-C and cardiovascular risk reduction among different therapeutic interventions: a systematic review and meta-analysis. JAMA. 2016;316(12):1289–97.PubMedCrossRef
35.
go back to reference Rahimi K, Bidel Z, Nazarzadeh M, Copland E, Canoy D, Ramakrishnan R, et al. Pharmacological blood pressure lowering for primary and secondary prevention of cardiovascular disease across different levels of blood pressure: an individual participant-level data meta-analysis. Lancet. 2021;397(10285):1625–36.CrossRef Rahimi K, Bidel Z, Nazarzadeh M, Copland E, Canoy D, Ramakrishnan R, et al. Pharmacological blood pressure lowering for primary and secondary prevention of cardiovascular disease across different levels of blood pressure: an individual participant-level data meta-analysis. Lancet. 2021;397(10285):1625–36.CrossRef
37.
go back to reference Bisquera A, Gulliford M, Dodhia H, Ledwaba-Chapman L, Durbaba S, Soley-Bori M, et al. Identifying longitudinal clusters of multimorbidity in an urban setting: a population-based cross-sectional study. Lancet Region Health Europe. 2021;3:100047.CrossRef Bisquera A, Gulliford M, Dodhia H, Ledwaba-Chapman L, Durbaba S, Soley-Bori M, et al. Identifying longitudinal clusters of multimorbidity in an urban setting: a population-based cross-sectional study. Lancet Region Health Europe. 2021;3:100047.CrossRef
38.
go back to reference Loeppenthin K, Dalton SO, Johansen C, Andersen E, Christensen MB, Pappot H, et al. Total burden of disease in cancer patients at diagnosis-a Danish nationwide study of multimorbidity and redeemed medication. Br J Cancer. 2020;123(6):1033–40.PubMedPubMedCentralCrossRef Loeppenthin K, Dalton SO, Johansen C, Andersen E, Christensen MB, Pappot H, et al. Total burden of disease in cancer patients at diagnosis-a Danish nationwide study of multimorbidity and redeemed medication. Br J Cancer. 2020;123(6):1033–40.PubMedPubMedCentralCrossRef
39.
go back to reference Freisling H, Viallon V, Lennon H, Bagnardi V, Ricci C, Butterworth AS, et al. Lifestyle factors and risk of multimorbidity of cancer and cardiometabolic diseases: a multinational cohort study. BMC Med. 2020;18(1):5.PubMedPubMedCentralCrossRef Freisling H, Viallon V, Lennon H, Bagnardi V, Ricci C, Butterworth AS, et al. Lifestyle factors and risk of multimorbidity of cancer and cardiometabolic diseases: a multinational cohort study. BMC Med. 2020;18(1):5.PubMedPubMedCentralCrossRef
40.
go back to reference Marley J, Nicholl BI, Macdonald S, Mair FS, Jani BD. Associations between long-term conditions and upper gastrointestinal cancer incidence: a prospective population-based cohort of UK Biobank participants. J Comorbidity. 2021;11:26335565211056136. Marley J, Nicholl BI, Macdonald S, Mair FS, Jani BD. Associations between long-term conditions and upper gastrointestinal cancer incidence: a prospective population-based cohort of UK Biobank participants. J Comorbidity. 2021;11:26335565211056136.
41.
go back to reference Forouzanfar MH, Afshin A, Alexander LT, Anderson HR, Bhutta ZA, Biryukov S, et al. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet. 2016;388(10053):1659–724.CrossRef Forouzanfar MH, Afshin A, Alexander LT, Anderson HR, Bhutta ZA, Biryukov S, et al. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet. 2016;388(10053):1659–724.CrossRef
42.
go back to reference Zheng DD, Loewenstein DA, Christ SL, Feaster DJ, Lam BL, McCollister KE, et al. Multimorbidity patterns and their relationship to mortality in the US older adult population. PLoS One. 2021;16(1):e0245053.PubMedPubMedCentralCrossRef Zheng DD, Loewenstein DA, Christ SL, Feaster DJ, Lam BL, McCollister KE, et al. Multimorbidity patterns and their relationship to mortality in the US older adult population. PLoS One. 2021;16(1):e0245053.PubMedPubMedCentralCrossRef
43.
go back to reference Rosner MH, Jhaveri KD, McMahon BA, Perazella MA. Onconephrology: The intersections between the kidney and cancer. CA Cancer J Clin. 2021;71(1):47–77.PubMedCrossRef Rosner MH, Jhaveri KD, McMahon BA, Perazella MA. Onconephrology: The intersections between the kidney and cancer. CA Cancer J Clin. 2021;71(1):47–77.PubMedCrossRef
44.
go back to reference Deferrari G, Cipriani A, La Porta E. Renal dysfunction in cardiovascular diseases and its consequences. J Nephrol. 2021;34(1):137–53.PubMedCrossRef Deferrari G, Cipriani A, La Porta E. Renal dysfunction in cardiovascular diseases and its consequences. J Nephrol. 2021;34(1):137–53.PubMedCrossRef
45.
go back to reference Fry A, Littlejohns TJ, Sudlow C, Doherty N, Adamska L, Sprosen T, et al. Comparison of sociodemographic and health-related characteristics of UK Biobank participants with those of the general population. Am J Epidemiol. 2017;186(9):1026–34.PubMedPubMedCentralCrossRef Fry A, Littlejohns TJ, Sudlow C, Doherty N, Adamska L, Sprosen T, et al. Comparison of sociodemographic and health-related characteristics of UK Biobank participants with those of the general population. Am J Epidemiol. 2017;186(9):1026–34.PubMedPubMedCentralCrossRef
Metadata
Title
Temporal trajectories of important diseases in the life course and premature mortality in the UK Biobank
Authors
Xianwen Shang
Xueli Zhang
Yu Huang
Zhuoting Zhu
Xiayin Zhang
Shunming Liu
Jiahao Liu
Shulin Tang
Wei Wang
Honghua Yu
Zongyuan Ge
Mingguang He
Publication date
01-12-2022
Publisher
BioMed Central
Published in
BMC Medicine / Issue 1/2022
Electronic ISSN: 1741-7015
DOI
https://doi.org/10.1186/s12916-022-02384-3

Other articles of this Issue 1/2022

BMC Medicine 1/2022 Go to the issue