Socioeconomic status, non-communicable disease risk factors, and walking speed in older adults: multi-cohort population based study

被引:84
作者
Stringhini, Silvia [1 ]
Carmeli, Cristian [1 ]
Jokela, Markus [2 ]
Avendano, Mauricio [3 ,4 ]
McCrory, Cathal [5 ]
d'Errico, Angelo [6 ]
Bochud, Murielle [1 ]
Barros, Henrique [7 ,8 ]
Costa, Giuseppe [6 ]
Chadeau-Hyam, Marc [9 ]
Delpierre, Cyrille [10 ,11 ]
Gandini, Martina [6 ]
Fraga, Silvia [7 ]
Goldberg, Marcel [12 ,13 ]
Giles, Graham G. [14 ]
Lassale, Camille [15 ]
Kenny, Rose Anne [5 ]
Kelly-Irving, Michelle [10 ,11 ]
Paccaud, Fred [1 ]
Layte, Richard [16 ]
Muennig, Peter [17 ]
Marmot, Michael G. [15 ]
Ribeiro, Ana Isabel [7 ]
Severi, Gianluca [17 ,18 ,19 ]
Steptoe, Andrew [15 ]
Shipley, Martin J. [15 ]
Zins, Marie [12 ,13 ]
Mackenbach, Johan P. [20 ]
Vineis, Paolo [9 ]
Kivimaki, Mika [15 ,21 ]
机构
[1] Lausanne Univ Hosp, Inst Social & Prevent Med, Biopole 2 Route Corniche 10, CH-1010 Lausanne, Switzerland
[2] Univ Helsinki, Dept Psychol & Logoped, Fac Med, Helsinki, Finland
[3] Kings Coll London, Dept Global Hlth & Social Med, London, England
[4] Harvard TH Chan Sch Publ Hlth, Boston, MA USA
[5] Trinity Coll Dublin, Irish Longitudinal Study Ageing TILDA, Dublin, Ireland
[6] ASL TO3 Piedmont Reg, Epidemiol Unit, Grugliasco, TO, Italy
[7] Univ Porto, Inst Publ Hlth, EPIUnit, Porto, Portugal
[8] Univ Porto, Sch Med, Dept Clin Epidemiol Predict Med & Publ Hlth, Porto, Portugal
[9] Imperial Coll London, Dept Epidemiol & Biostat, Sch Publ Hlth, MRC PHE Ctr Environm & Hlth, London, England
[10] INSERM, UMR1027, Toulouse, France
[11] Univ Toulouse III Paul Sabatier, Toulouse, France
[12] INSERM, UMS 11, Populat Based Epidemiol Cohorts Unit, Villejuif, France
[13] Paris Descartes Univ, Paris, France
[14] Canc Council Victoria, Canc Epidemiol Ctr, Melbourne, Vic, Australia
[15] UCL, Dept Epidemiol & Publ Hlth, London, England
[16] Trinity Coll Dublin, Dept Sociol, Dublin, Ireland
[17] Columbia Univ, Global Res Analyt Populat Hlth Hlth Policy & Mana, New York, NY USA
[18] Univ Paris Saclay, INSERM, U1018, CESP, Villejuif, France
[19] Human Genet Fdn HuGeF, Turin, Italy
[20] Erasmus Univ, Med Ctr, Dept Publ Hlth, Rotterdam, Netherlands
[21] Univ Helsinki, Fac Med, Clinicum, Helsinki, Finland
来源
BMJ-BRITISH MEDICAL JOURNAL | 2018年 / 360卷
基金
瑞士国家科学基金会; 英国医学研究理事会; 芬兰科学院;
关键词
GAIT SPEED; PHYSICAL-ACTIVITY; WHITEHALL II; ELDERLY-PEOPLE; UNITED-STATES; MORTALITY; MIDLIFE; LIFE; AGE; ASSOCIATION;
D O I
10.1136/bmj.k1046
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
OBJECTIVE To assess the association of low socioeconomic status and risk factors for non-communicable diseases (diabetes, high alcohol intake, high blood pressure, obesity, physical inactivity, smoking) with loss of physical functioning at older ages. DESIGN Multi-cohort population based study. SETTING 37 cohort studies from 24 countries in Europe, the United States, Latin America, Africa, and Asia, 1990-2017. PARTICIPANTS 109 107 men and women aged 45-90 years. MAIN OUTCOME MEASURE Physical functioning assessed using the walking speed test, a valid index of overall functional capacity. Years of functioning lost was computed as a metric to quantify the difference in walking speed between those exposed and unexposed to low socioeconomic status and risk factors. RESULTS According to mixed model estimations, men aged 60 and of low socioeconomic status had the same walking speed as men aged 66.6 of high socioeconomic status (years of functioning lost 6.6 years, 95% confidence interval 5.0 to 9.4). The years of functioning lost for women were 4.6 (3.6 to 6.2). In men and women, respectively, 5.7 (4.4 to 8.1) and 5.4 (4.3 to 7.3) years of functioning were lost by age 60 due to insufficient physical activity, 5.1 (3.9 to 7.0) and 7.5 (6.1 to 9.5) due to obesity, 2.3 (1.6 to 3.4) and 3.0 (2.3 to 4.0) due to hypertension, 5.6 (4.2 to 8.0) and 6.3 (4.9 to 8.4) due to diabetes, and 3.0 (2.2 to 4.3) and 0.7 (0.1 to 1.5) due to tobacco use. In analyses restricted to high income countries, the number of years of functioning lost attributable to low socioeconomic status by age 60 was 8.0 (5.7 to 13.1) for men and 5.4 (4.0 to 8.0) for women, whereas in low and middle income countries it was 2.6 (0.2 to 6.8) for men and 2.7 (1.0 to 5.5) for women. Within high income countries, the number of years of functioning lost attributable to low socioeconomic status by age 60 was greater in the United States than in Europe. Physical functioning continued to decline as a function of unfavourable risk factors between ages 60 and 85. Years of functioning lost were greater than years of life lost due to low socioeconomic status and non-communicable disease risk factors. CONCLUSIONS The independent association between socioeconomic status and physical functioning in old age is comparable in strength and consistency with those for established non-communicable disease risk factors. The results of this study suggest that tackling all these risk factors might substantially increase life years spent in good physical functioning.
引用
收藏
页数:10
相关论文
共 49 条
  • [21] Measurement of Gait Speed
    Hornyak, Victoria
    VanSwearingen, Jessie M.
    Brach, Jennifer S.
    [J]. TOPICS IN GERIATRIC REHABILITATION, 2012, 28 (01) : 27 - 32
  • [22] Socioeconomic inequalities in risk factors for non communicable diseases in low-income and middle-income countries: results from the World Health Survey
    Hosseinpoor, Ahmad Reza
    Bergen, Nicole
    Kunst, Anton
    Harper, Sam
    Guthold, Regina
    Rekve, Dag
    d'Espaignet, Edouard Tursan
    Naidoo, Nirmala
    Chatterji, Somnath
    [J]. BMC PUBLIC HEALTH, 2012, 12 : 912
  • [23] Institute for Social and Economic Research, EUR SOC CLASS
  • [24] Characteristic gait patterns in older adults with obesity-Results from the Baltimore Longitudinal Study of Aging
    Ko, Seung-uk
    Stenholm, Sari
    Ferrucci, Luigi
    [J]. JOURNAL OF BIOMECHANICS, 2010, 43 (06) : 1104 - 1110
  • [25] Future life expectancy in 35 industrialised countries: projections with a Bayesian model ensemble
    Kontis, Vasilis
    Bennett, James E.
    Mathers, Colin D.
    Li, Guangquan
    Foreman, Kyle
    Ezzati, Majid
    [J]. LANCET, 2017, 389 (10076) : 1323 - 1335
  • [26] MAINTAINING MOBILITY IN LATE-LIFE .2. SMOKING, ALCOHOL-CONSUMPTION, PHYSICAL-ACTIVITY, AND BODY-MASS INDEX
    LACROIX, AZ
    GURALNIK, JM
    BERKMAN, LF
    WALLACE, RB
    SATTERFIELD, S
    [J]. AMERICAN JOURNAL OF EPIDEMIOLOGY, 1993, 137 (08) : 858 - 869
  • [27] Obesity, physical function, and mortality in older adults
    Lang, Iain A.
    Llewellyn, David J.
    Alexander, Kirsty
    Melzer, David
    [J]. JOURNAL OF THE AMERICAN GERIATRICS SOCIETY, 2008, 56 (08) : 1474 - 1478
  • [28] The relationship between education and adult mortality in the United States
    Lleras-Muney, A
    [J]. REVIEW OF ECONOMIC STUDIES, 2005, 72 (01) : 189 - 221
  • [29] Marmot M., 2008, CLOSING GAP GENERATI
  • [30] Intergenerational Occupational Mobility and Objective Physical Functioning in Midlife and Older Ages
    McCrory, Cathal
    Henretta, John C.
    O'Connell, Matthew D. L.
    Kenny, Rose Anne
    [J]. JOURNALS OF GERONTOLOGY SERIES B-PSYCHOLOGICAL SCIENCES AND SOCIAL SCIENCES, 2018, 73 (02): : 279 - 291