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Table 1 Characteristics of the 47 included studies

From: Quality of life and mortality in the general population: a systematic review and meta-analysis

Authors and Year

Setting - Country

Study Name and Design

Sample Size

Follow-up in years

Participants (Age in Range or Mean (SD), Female %)

QoL Measure

Type of Death

Comparison

Risk estimate (95% CI)

Adjustment

Bjorkman et al. 2019 [37]

Finland

Porvoo Sarcopenia and Nutrition Trial, Prospective

428

4 yrs

75 yrs. and + 66.59%

RAND-36 PF

all-cause

HR, 1-unit increase

PF: 0.988 (0.979–0.997)

age, sex, comorbidity and CRi-SMI

Brown et al. 2015 [38]a

USA

Medicare Health Outcomes Survey (Cohort 6–8), Prospective

191,001

2.5 yrs

65 yrs. and + 58.30%

CDC HRQOL-4

all-cause

HR, Excellent vs. Poor

HR, 0 days vs. 21–30 days

GH: 0.24 (0.21–0.27)

Days of not good in Physical Health

0.82 (0.77–0.88)

Days of not good in Mental Health

1.12 (1.04–1.22)

Days of activity limitation

0.74 (0.68–0.79)

age, sex, race/ethnicity, education, income, range of other health and lifestyle factors

Cavrini et al. 2012 [39]

Italy

Pianoro Study, Prospective

5256

2 yrs

65 yrs. and + 55.3%

EQ-5D

all-cause

HR, 1-unit increase

0.42 (0.35–0.50)

sex, age, BMI, education, health and lifestyle factors

Chwastiak et al. 2010 [40]

USA

1999 Large Health Survey of Veteran Enrollees, Prospective

559,985

9 yrs

64.1 (12.9) yrs4.1%

SF-36 PCS

all-cause

HR, 1-unit increase

PCS: 0.97 (0.96–0.98)

age, race, sex, education, disability, comorbidity, BMI, lifestyle factors

De Buyser et al. 2016 [41]a

Belgium

Prospective cohort

171

15 yrs

71 yrs. and + 0%

SF-36 PFI

all-cause

HR, 1-unit increase

PF: 1.01 (0.99–1.02)

age, polypharmacy, depression, and disability

De Buyser et al. 2013 [42]a

Belgium

Prospective cohort

352

15 yrs

71 to 86 yrs0%

SF-36 PFI

all-cause

HR, 1-unit increase

PF: 0.992 (0.986–0.999)

age, BMI and smoking

DeSalvo et al. 2005 [43]

USA

VAAC Quality Improvement Project, Prospective

21,732

1 yr

64 (12) yrs3.6%

SF-36 PCS and MCS

all-cause

AUC

PCS: 0.73 (0.71–0.75)

MCS: 0.68 (0.66–0.70)

age

Dominick et al. 2002 [44]a

USA

Pennsylvania’s Pharmaceutical Assistance Contract for the Elderly, Prospective

84,065

1 yr

78.7 (6.9) yrs. 78.0%

Core CDC HRQOL items

all-cause

RR, Excellent vs. Poor

RR, 0 days vs. 21–30 days

GH: 0.24 (0.17–0.33)

Days of not good in Physical Health

0.42 (0.38–0.45)

Days of not good in Mental Health

0.53 (0.50–0.59)

Days of activity limitation

0.40 (0.37–0.42)

age, sex, race, marital and residential status, income and comorbidity

Dorr et al. 2006 [45]a

USA

Intermountain Health Care Network, Prospective

2166

2.3 yrs

77.9 (6.8) yrs54.9%

SF-12 PCS and MCS

all-cause

OR, Quartile 4 (Highest) vs. Quartile 1 (Lowest)

PCS: 0.16

MCS: 0.40

age, sex, and comorbidity

Drageset et al. 2013 [46]

Norway

Study of Nursing Home Residents without cognitive impairment (2004–2005), Prospective

227

5 yrs

65 to 95 yrs. and + 72.25%

SF-36 PCS and MCS

all-cause

HR, 1-unit increase

PF: 0.99 (0.98–0.99)

age, sex, marital status, education and comorbidity

Fan et al. 2004 [24]a

USA

VAAC Quality Improvement Project, Prospective

7702

1 yr

65.4 (10.6) yrs. 3.4%

SF-36 PCS and MCS

all-cause

OR, 1-unit increase

PCS: 0.956 (0.943–0.969)

MCS: 0.981 (0.971–0.990)

age, site, distance to the VA, and comorbidity

Fan et al. 2006 [47]

USA

VAAC Quality Improvement Project, Prospective

14,192

3 yrs

64.4 (11.3) yrs. 3.5%

SF-36 PCS and MCs

all-cause

AUC

PCS: 0.721 (0.708–0.733)

MCS: 0.689 (0.675–0.702)

age and sex

Feeny et al. 2012 [48]

Canada

1994/95 Canadian National Population Health Longitudinal Survey, Prospective

12,375

12 yrs

18–80 yrs. + 52%

HUI3

all-cause

HR, 1-level increase

Hearing: 0.18 (0.06–0.57)

Ambulation: 0.10 (0.04–0.23)

Pain: 0.53 (0.29–0.96)

age, sex, socioeconomic, disease condition, and lifestyle factors

Forsyth et al. 2018 [27]a

Australia

RCT of a case Management Intervention for Adult transitioning from prison to the community, Prospective

1320

4.7 yrs

32.7 (11.1) yrs. 21.10%

SF-36 PCS and MCS

all-cause

HR, High vs. Low

PCS: 0.48 (0.18–1.20)

MCS: 0.38 (0.16–0.91)

a(CI is 99%CI)

age, sex and indigenous status

Franks et al. 2003 [49]a

USA

Household Survey component of the National Medical Expenditure, Prospective

21,363

5 yrs

21 yrs. + 55.39%

SF-20

all-cause

HR, 1-point increase

HP: 0.993 (0.990–0.996)

PF: 0.995 (0.992–0.997)

RF: 0.996 (0.994–0.998)

MH: 1.00 (0.996–1.003)

age, sex, race, ethnicity, education and income

Gomez-Olive et al. 2014 [25]a

South Africa

Population under the Agincourt Health and Demographic Surveillance System, Prospective

4047

3 yrs

50 yrs. + 75.8%

WHO QOL

all-cause

HR, Highest vs. Lowest

Overall: 0.61

age, sex, education and union status, HH assets, and Disability Assessment

Han et al. 2009 [50]

South Korea

Korea Longitudinal Study on Health and Aging, Prospective

944

3.25 yrs. (median)

76.0 (8.6) yrs. 54.9%

SF-36 PCS and MCS (K.V)

all-cause

HR, Tertile 3 (High) vs. Tertile 1 (Low)

PCS: 0.35 (0.19–0.64)

MCS: 0.39 (0.22–0.70)

age, sex, smoking, range of serum measures

Haring et al. 2011 [51]a

Germany

Population-based Study of Health in Pomerania, Prospective

4261

9.7 yrs. (mean)

20–79 yrs. 50.93%

SF-12 PCS and MCS

all-cause

HR, Highest Quartile vs. Lowest Quartile

PCS: 0.56 (0.42–0.75)##

PCS: 0.63 (0.47–0.84)#

MCS: 0.94 (0.73–1.22)##

MCS: 1.04 (0.81–1.35)#

age, sex, ## behavioural factors, # comorbidities

Higueras-Fresnillo et al. 2018 [52]a

Spain

UAM Cohort, Prospective

3922

14 yrs. (median)

71.82 (7.94) yrs. 56.38%

SF-36 PCS and MCS

all-cause

HR, Good vs. Poor

Physical: 0.74 (0.65–0.85)

Mental: 0.85 (0.74–0.98)

Social: 0.73 (0.63–0.85)

age, sex, education, lifestyle factors, BMI, waist circumference, comorbidity

Jia et al. 2018 [53]a

USA

Medicare Health Outcomes Survey Cohort 15, Prospective

105,473

2 yrs

65 yrs. + 58.30%

SF-6D and dEQ-5D

all-cause

HR, 1st Quintile vs. 5th Quintile

SF-6D: 0.77 (0.71–0.80)

dEQ-5D: 0.45 (0.43–0.49)

age, sex, socioeconomic, marital status, smoking, BMI, chronic conditions

Kao et al. 2005 [54]

Taiwan

Prospective Cohort

689

2 yrs

65 yrs. + 0%

WHOQOL-(BREF)

all-cause

RR, 1-point change

Overall: 0.99 (0.77–1.26)

unadjusted RR

Kaplan et al. 2007 [55]

Canada

1994/95 Canadian National Population Health Longitudinal Survey, Prospective

12,375

8 yrs

18–80 yrs. + 52%

HUI3

all-cause

HR, 1-unit increase

0.61 (0.42–0.89)

age, sex, socioeconomics, other social/health, lifestyle factors

Kroenke et al. 2008 [56]

USA

Nurses’ Health Study, Prospective

40,337

2.8 to 12 yrs

46–71 yrs. 100%

SF-36 PCS and MCS

all-cause

RR###, Severe Decline vs. No Change

RR####, Improve vs. No Change

Change in PCS

3.32### (2.45–4.50)

0.72#### (0.56–0.91)

Change in MCS

1.86### (1.17–2.97)

0.77#### (0.63–0.95)

age, baseline HRQoL, menopausal status, social integration, BMI, educational, husbands’ education, lifestyle factors, PCS/MCS

Lawler et al. 2013 [57]

USA

Oklahoma Longitudinal Assessment of Health Outcomes of Mature Adults Studies, Prospective

852

5 yrs

65 yrs. + 56.81%

SF-36 PCS and MCS

all-cause

HR, 1-unit increase

PF: 0.98 (0.97–0.98)

Bodily Pain: 1.01 (1.00–1.01)

age, sex, socioeconomic, BMI, morbidity, functional status, having a confidant

Lee et al. 2012 [58]a

Taiwan

Elderly Nutrition and Health Survey, Prospective

1435

7.9 yrs

65–97 yrs. 48.50%

SF-36 PCS (T.V 1.0)

all-cause

HR, Highest PF vs. Lowest PF

PF: 0.29 (0.19–0.45)

age

Leigh et al. 2015 [59]

Australia

Australian Longitudinal Study on Women’s Health, Prospective

10,721

15 yrs

70–75 yrs. 100%

SF-36 Vitality, Mental and PF

all-cause

HR, 1-unit increase

PF: 0.992 (0.990–0.994)

Mental:1.0 (0.997–1.002)

Vitality: 1.0 (0.998–1.002)

age, socioeconomic, BMI, sleep, disease count, and other health factors

Liira et al. 2018 [29]

Finland

a. The Helsinki Businessmen Study (HBS)

b. Spousal caregivers of people with dementia

c. Nursing home residents

d. Older persons suffering from loneliness

e. Population Sample

a = 733

b = 209

c = 326

d = 208

e = 901

2 yrs

a. 77 (4) yrs. 0%

b. 75 (7) yrs. 64.6%

c. 84 (7) yrs. 69.9%

d. 80 (4) yrs. 75%

e. 85 (5) yrs. 75.1%

The 15D

all-cause

HR, 1SD (0.14) increase

a. 0.43 (0.31–0.63)

b. 1.06 (0.43–2.63)

c. 0.69 (0.58–0.85)

d. 0.94 (0.47–1.87)

e. 0.62 (0.49–0.72)

age and sex

Masel et al. 2010 [60]

USA

Hispanic Established Population for Epidemiologic Study of the Elderly, Prospective

1008

2 yrs

74–101 yrs. 63.2%

SF-36 PCS and MCS

all-cause

OR, 1-point increase

PCS: 0.962 (0.941–0.984)

MCS: 0.996 (0.974–1.018)

age, sex, education, marital status, financial strain, chronic illness, smoking, BMI, and frailty

Mold et al. 2008 [61]

USA

Oklahoma Longitudinal Assessment of Health Outcomes of Mature Adults Studies, Prospective

604

5 yrs

65 yrs. + 56%

SF-36 PF and bodily pain

all-cause

HR, 1-unit increase

PF: 0.98 (0.97–0.99)

education, income, smoking, initial and instrumental activity of daily living, health utilities / conditions

Munoz et al. 2011 [62]

Spain

Prospective Cohort

3724

6.3 yrs. (median)

35–74 yrs. 51.9%

SF-12 PCS and MCS

all-cause

HR, 3rd Tertile vs.1st Tertile (Low)

PCS: 0.58 (0.39–0.87)

MCS: 0.99 (0.69–1.42)

age, sex, marital status, education and cardiovascular risk factors

Murray et al. 2011 [63]

Scotland

Lothian Birth Cohort 1921, Prospective

448

9 yrs

79 yrs. 56.70%

26-item WHOQOL-BREF

all-cause

HR, 1 tertile increase / 1-point increase

Overall: 0.84 (0.67–1.05)

GH: 0.75 (0.64–0.89)

Physical: 0.90 (0.86–0.95)

Psychological: 0.98 (0.91–1.06)

Social: 0.97 (0.91–1.04)

Environment: 0.96 (0.89–1.03)

age and sex

Myint et al. 2006 [64]a

UK

European Prospective Investigation into Cancer -Norfolk, Prospective

17,777

6.5 yrs. (mean)

41–80 yrs. 56.25%

SF-36 PCS (UK.V)

all-cause

RR, Quintiles 5 (Highest) vs. Quintiles 1

PCS

Men: 0.47 (0.33–0.65)

Women: 0.41 (0.27–0.64)

age, BMI, SBP, blood cholesterol, smoking, diabetes and social class

Myint et al. 2007 [65]a

UK

European Prospective Investigation into Cancer -Norfolk, Prospective

17,777

6.5 yrs. (mean)

40–79 yrs. 56.25%

SF-36 MCS (UK.V)

all-cause

HR, 1-point increase

MCS: 0.987 (0.981–0.993)

age, sex, PCS, lifestyle, BMI, SBP, blood cholesterol, diabetes, and social class

Myint et al. 2010 [26]a

UK

European Prospective Investigation into Cancer -Norfolk, Prospective

17,736

6.5 yrs. (mean)

40–79 yrs. 56.23%

SF-6D (UK.V)

all-cause

HR, 1 SD (0.12-point) increase

0.74 (0.69–0.79)

age, sex, BMI, SBP, blood cholesterol, diabetes, smoking, and social class

Nilsson et al. 2011 [66]a

Sweden

Inhabitants in the Swedish city of Vasteras, Prospective

417

10 yrs

75 yrs. 51.08%

PGWB

all-cause

RR, 1-unit change

Global Score

Men: 0.984 (0.969–0.998)

Women: 0.994 (0.978–1.010)

for men: smoking, obesity, living alone and other health conditions

Otero-Rodriguez et al. 2010 [67]a

Spain

Spanish Population-Based Cohort, Prospective

2373

6 yrs

60 yrs. + 57.5%

SF-36 PCS and MCS

all-cause

HR, 1-point increase

PCS: 0.952 (0.935–0.969)

MCS: 0.990 (0.976–1.006)

sex, age, HRQOL, education, marital status, BMI, other health and lifestyle factors, PCS/MCS

Perera et al. 2005 [68]a

USA

Prospective cohort

439

5 yrs

65 yrs. + 44.40%

SF-36 PF

all-cause

HR, 1-point increase

PF: 0.991 (0.945–1.036)

age, sex, measure of change, number of comorbid domains, hospitalization

Razzaque et al. 2014 [69]a

Bangladesh

Matlab HDSS, Prospective

4037

2 yrs

50 yrs. + 50.06%

WHOQOL

all-cause

RR, Good/Very Good vs. Bad/Very Bad

Men: 0.26 (0.16–0.41)

Women: 0.30 (0.10–0.86)

age and socio-demographic variables

Singh et al. 2005 [70]a

USA

Prospective

40,508

1 yr

64.5 (13.7) yrs. 4.2%

SF-36 PCS and MCS (V.V)

all-cause

OR, 1-point increase

PCS: 0.933 (0.926–0.941)

MCS: 0.968 (0.962–0.973)

age, sex, socioeconomic, smoking, VA eligibility status, and prior healthcare utilization

St.John et al. 2018 [71]a

Canada

Manitoba Follow-up Study, Prospective

734

9 yrs

85.5 (3.0) yrs. 0%

SF-36 PCS and MCS

all-cause

RR, High vs. Low

PCS: 0.50 (0.38–0.64)

MCS: 0.55 (0.40–0.76)

age

Sutcliffe et al. 2007 [72]

UK

Prospective

308

0.75 yrs

60–90 yrs. + 68.8%

LQOLP-R - Spitzer

all-cause

HR, increased score

0.9805 (0.9704–0.9907)

unadjusted

Tibblin et al. 1993 [73]

Sweden

Study of men born in 1913, Prospective

787

18 yrs

50 yrs. + 0%

Goteborg QoL

all-cause

No Data

Only Health variable was significantly related to mortality

health, physical fitness, and appetite

Tice et al. 2006 [74]

USA

B-FIT, Prospective

17,748

9 yrs

55–80 yrs. + 100%

SF-20 PF

all-cause

HR, Highest vs. Lowest

PF: 0.70 (0.60–0.90)

age, other health and lifestyle factors

Tsai et al. 2007 [23]a

Taiwan

A 2000 Population-based survey in Taiwan, Prospective

4424

3 yrs

65 yrs. +

SF-36 PCS and MCS

all-cause

RR, 1-point increase

PCS: 0.954 (0.941–0.968)

MCS: 0.985 (0.971–0.999)

age, sex, feel tired, other health and lifestyle factors

Ul-Haq et al. 2014 [75]a

Scotland

Scottish Health Survey 2003, Retrospective

5272

7.6 yrs. (mean)

20–65 yrs. + 54.80%

SF-12 PCS and MCS

all-cause

HR, Best vs. Worst

PCS: 0.36 (0.22–0.57)

MCS:0.80 (0.61–1.05)

age, sex, SIMd, education, BMI, other health and lifestyle factors

Williams et al. 2012 [76]a

Australia

Australia Diabetes, Obesity and Lifestyle study, Prospective

9979

7.4 yrs

25 yrs. + 55.00%

SF-36 PCS and MCS

all-cause

HR, 1-point change

PF: 0.983 (0.979–0.987)

RP: 0.995 (0.993–0.997)

Bodily Pain: 0.996 (0.992–0.999)

GH: 0.985 (0.980–0.990)

Vitality: 0.992 (0.987–0.996)

Social F: 0.993 (0.990–0.996)

RE: 0.999 (0.996–1.001)

MH: 0.999 (0.994–1.004)

age, sex, BMI, smoking, heath conditions, serum measures

Xie et al. 2014 [77]a

China

PRC-USA Study, Prospective

1739

10.1 yrs. (median)

57.7 (8.4) yrs. 64.2%

Chinese (QOL-35)

all-cause

HR, Upper 50% vs. Lower 50%

0.69 (0.49–1.00)

age, sex, social-economic, other health and lifestyle factors

  1. AUC Area under curve; BMI Body Mass Index; CDC HRQOL-4 Core CDC Healthy Days Measures HRQOL-4; Chinese (QOL-35) Chinese 35-item Quality of Life Instrument; CRi-SMI Calf Intracellular Resistance Skeletal Muscle Index; EQ-5D the EuroQoL-5 Dimension; GH General Health; HUI3 The Health Utilities Index Mark 3 Version; HH Household; HP Health Perceptions; HR Hazard Ratio; K. V Korea Version; LQOLP-R – Spitzer Lancashire Quality-of-Life Profile-Residential incorporated the Spitzer Uniscale; MCS Mental Component Score; MH Mental Health; OR Odds Ratio; PCS Physical Component Score; PF Physical Functioning; PGWB Psychological General Well-Being; QoL Quality of Life; RE Role-Emotional; RF Role Function; RP Role Physical; RR Relative Risk; SF-36 Short Form 36; SF-20 Short Form 20; SF-12 Short Form 12; SF-6D Short-Form Six Dimension Utility Index; SBP Systolic Blood Pressure; Social F Social Functioning; SIMd Scottish Index of Multiple deprivation; The 15D The 15 dimensional instrument; T. V Taiwan Version; UK United Kingdom; UK. V UK Version; USA United States of America; VA Veterans Affairs; V. V Veterans Version;
  2. Study Abbreviation; B-FIT Breast and Bone Follow-up Study of the Fracture Intervention Trial; Matlab HDSS Matlab Health and Demographic Surveillance System of the International Centre for Diarrhoeal Disease Research; PRC-USA Study People’s Republic of China-United States of America Chinese Collaborative Study of Cardiovascular and Cardiopulmonary Epidemiology; VAAC Veterans Affairs Ambulatory Care;
  3. awhere studies report reverse association or risk estimate per more than 1-unit increase, the risk estimates were standardised per 1-unit increase or 1-SD increase or high vs. low for the purpose of consistency across the table