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Relationship between multimorbidity, demographic factors and mortality: findings from the UK Biobank cohort
by
Mair, Frances S.
, McQueenie, Ross
, Lee, Duncan
, Jani, Bhautesh Dinesh
, Hanlon, Peter
, Nicholl, Barbara I.
, Gallacher, Katie I.
in
Adult
/ Age
/ Aged
/ Aged, 80 and over
/ Biocompatibility
/ Biological Specimen Banks - statistics & numerical data
/ Biomedical materials
/ Biomedicine
/ Cancer
/ Cancer mortality
/ Cardiovascular diseases
/ Chronic kidney failure
/ Chronic obstructive lung disease
/ Chronic obstructive pulmonary disease
/ Cohort Studies
/ Comorbidity
/ Condition clusters
/ Connective tissues
/ Demographics
/ Demography
/ Depression (Mood disorder)
/ Epilepsy
/ Fatalities
/ Female
/ Humans
/ Kidney diseases
/ Lung cancer
/ Lung diseases
/ Male
/ Males
/ Medicine
/ Medicine & Public Health
/ Men
/ Mental depression
/ Middle Aged
/ Morbidity
/ Mortality
/ Multimorbidity
/ Neoplasms - epidemiology
/ Neoplasms - mortality
/ Obstructive lung disease
/ Osteoporosis
/ Patient outcomes
/ Proportional Hazards Models
/ Pulmonary Disease, Chronic Obstructive - epidemiology
/ Pulmonary Disease, Chronic Obstructive - mortality
/ Regression analysis
/ Regression models
/ Renal Insufficiency, Chronic - epidemiology
/ Renal Insufficiency, Chronic - mortality
/ Research Article
/ Respiratory tract diseases
/ Risk
/ Risk Factors
/ Sex
/ Social class
/ Socioeconomic factors
/ Socioeconomics
/ Systematic review
/ United Kingdom - epidemiology
/ Vascular mortality
/ Women
/ Young Adult
2019
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Relationship between multimorbidity, demographic factors and mortality: findings from the UK Biobank cohort
by
Mair, Frances S.
, McQueenie, Ross
, Lee, Duncan
, Jani, Bhautesh Dinesh
, Hanlon, Peter
, Nicholl, Barbara I.
, Gallacher, Katie I.
in
Adult
/ Age
/ Aged
/ Aged, 80 and over
/ Biocompatibility
/ Biological Specimen Banks - statistics & numerical data
/ Biomedical materials
/ Biomedicine
/ Cancer
/ Cancer mortality
/ Cardiovascular diseases
/ Chronic kidney failure
/ Chronic obstructive lung disease
/ Chronic obstructive pulmonary disease
/ Cohort Studies
/ Comorbidity
/ Condition clusters
/ Connective tissues
/ Demographics
/ Demography
/ Depression (Mood disorder)
/ Epilepsy
/ Fatalities
/ Female
/ Humans
/ Kidney diseases
/ Lung cancer
/ Lung diseases
/ Male
/ Males
/ Medicine
/ Medicine & Public Health
/ Men
/ Mental depression
/ Middle Aged
/ Morbidity
/ Mortality
/ Multimorbidity
/ Neoplasms - epidemiology
/ Neoplasms - mortality
/ Obstructive lung disease
/ Osteoporosis
/ Patient outcomes
/ Proportional Hazards Models
/ Pulmonary Disease, Chronic Obstructive - epidemiology
/ Pulmonary Disease, Chronic Obstructive - mortality
/ Regression analysis
/ Regression models
/ Renal Insufficiency, Chronic - epidemiology
/ Renal Insufficiency, Chronic - mortality
/ Research Article
/ Respiratory tract diseases
/ Risk
/ Risk Factors
/ Sex
/ Social class
/ Socioeconomic factors
/ Socioeconomics
/ Systematic review
/ United Kingdom - epidemiology
/ Vascular mortality
/ Women
/ Young Adult
2019
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Relationship between multimorbidity, demographic factors and mortality: findings from the UK Biobank cohort
by
Mair, Frances S.
, McQueenie, Ross
, Lee, Duncan
, Jani, Bhautesh Dinesh
, Hanlon, Peter
, Nicholl, Barbara I.
, Gallacher, Katie I.
in
Adult
/ Age
/ Aged
/ Aged, 80 and over
/ Biocompatibility
/ Biological Specimen Banks - statistics & numerical data
/ Biomedical materials
/ Biomedicine
/ Cancer
/ Cancer mortality
/ Cardiovascular diseases
/ Chronic kidney failure
/ Chronic obstructive lung disease
/ Chronic obstructive pulmonary disease
/ Cohort Studies
/ Comorbidity
/ Condition clusters
/ Connective tissues
/ Demographics
/ Demography
/ Depression (Mood disorder)
/ Epilepsy
/ Fatalities
/ Female
/ Humans
/ Kidney diseases
/ Lung cancer
/ Lung diseases
/ Male
/ Males
/ Medicine
/ Medicine & Public Health
/ Men
/ Mental depression
/ Middle Aged
/ Morbidity
/ Mortality
/ Multimorbidity
/ Neoplasms - epidemiology
/ Neoplasms - mortality
/ Obstructive lung disease
/ Osteoporosis
/ Patient outcomes
/ Proportional Hazards Models
/ Pulmonary Disease, Chronic Obstructive - epidemiology
/ Pulmonary Disease, Chronic Obstructive - mortality
/ Regression analysis
/ Regression models
/ Renal Insufficiency, Chronic - epidemiology
/ Renal Insufficiency, Chronic - mortality
/ Research Article
/ Respiratory tract diseases
/ Risk
/ Risk Factors
/ Sex
/ Social class
/ Socioeconomic factors
/ Socioeconomics
/ Systematic review
/ United Kingdom - epidemiology
/ Vascular mortality
/ Women
/ Young Adult
2019
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Relationship between multimorbidity, demographic factors and mortality: findings from the UK Biobank cohort
Journal Article
Relationship between multimorbidity, demographic factors and mortality: findings from the UK Biobank cohort
2019
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Overview
Background
Multimorbidity is associated with higher mortality, but the relationship with cancer and cardiovascular mortality is unclear. The influence of demographics and type of condition on the relationship of multimorbidity with mortality remains unknown. We examine the relationship between multimorbidity (number/type) and cause of mortality and the impact of demographic factors on this relationship.
Methods
Data source: the UK Biobank; 500,769 participants; 37-73 years; 53.7% female. Exposure variables: number and type of long-term conditions (LTCs) (
N
= 43) at baseline, modelled separately. Cox regression models were used to study the impact of LTCs on all-cause/vascular/cancer mortality during median 7-year follow-up. All-cause mortality regression models were stratified by age/sex/socioeconomic status.
Results
All-cause mortality is 2.9% (14,348 participants). Of all deaths, 8350 (58.2%) were cancer deaths and 2985 (20.8%) vascular deaths. Dose-response relationship is observed between the increasing number of LTCs and all-cause/cancer/vascular mortality. A strong association is observed between cardiometabolic multimorbidity and all three clinical outcomes; non-cardiometabolic multimorbidity (excluding cancer) is associated with all-cause/vascular mortality. All-cause mortality risk for those with ≥ 4 LTCs was nearly 3 times higher than those with no LTCs (HR 2.79, CI 2.61–2.98); for ≥ 4 cardiometabolic conditions, it was > 3 times higher (HR 3.20, CI 2.56–4.00); and for ≥ 4 non-cardiometabolic conditions (excluding cancer), it was 50% more (HR 1.50, CI 1.36–1.67). For those with ≥ 4 LTCs, morbidity combinations that included cardiometabolic conditions, chronic kidney disease, cancer, epilepsy, chronic obstructive pulmonary disease, depression, osteoporosis and connective tissue disorders had the greatest impact on all-cause mortality. In the stratified model by age/sex, absolute all-cause mortality was higher among the 60–73 age group with an increasing number of LTCs; however, the relative effect size of the increasing number of LTCs on higher mortality risk was larger among those 37–49 years, especially men. While socioeconomic status was a significant predictor of all-cause mortality, mortality risk with increasing number of LTCs remained constant across different socioeconomic gradients.
Conclusions
Multimorbidity is associated with higher all-cause/cancer/vascular mortality. Type, as opposed to number, of LTCs may have an important role in understanding the relationship between multimorbidity and mortality. Multimorbidity had a greater relative impact on all-cause mortality in middle-aged as opposed to older populations, particularly males, which deserves exploration.
Publisher
BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
Subject
/ Age
/ Aged
/ Biological Specimen Banks - statistics & numerical data
/ Cancer
/ Chronic obstructive lung disease
/ Chronic obstructive pulmonary disease
/ Epilepsy
/ Female
/ Humans
/ Male
/ Males
/ Medicine
/ Men
/ Pulmonary Disease, Chronic Obstructive - epidemiology
/ Pulmonary Disease, Chronic Obstructive - mortality
/ Renal Insufficiency, Chronic - epidemiology
/ Renal Insufficiency, Chronic - mortality
/ Risk
/ Sex
/ United Kingdom - epidemiology
/ Women
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