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Socioeconomic status, non-communicable disease risk factors, and walking speed in older adults: multi-cohort population based study.
Stringhini, Silvia; Carmeli, Cristian; Jokela, Markus; Avendaño, Mauricio; McCrory, Cathal; d'Errico, Angelo; Bochud, Murielle; Barros, Henrique; Costa, Giuseppe; Chadeau-Hyam, Marc; Delpierre, Cyrille; Gandini, Martina; Fraga, Silvia; Goldberg, Marcel; Giles, Graham G; Lassale, Camille; Kenny, Rose Anne; Kelly-Irving, Michelle; Paccaud, Fred; Layte, Richard; Muennig, Peter; Marmot, Michael G; Ribeiro, Ana Isabel; Severi, Gianluca; Steptoe, Andrew; Shipley, Martin J; Zins, Marie; Mackenbach, Johan P; Vineis, Paolo; Kivimäki, Mika.
Afiliação
  • Stringhini S; Institute of Social and Preventive Medicine, Lausanne University Hospital, Biopôle 2-Route de la Corniche 10, 1010 Switzerland silvia.stringhini@chuv.ch.
  • Carmeli C; Institute of Social and Preventive Medicine, Lausanne University Hospital, Biopôle 2-Route de la Corniche 10, 1010 Switzerland.
  • Jokela M; Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
  • Avendaño M; Department of Global Health and Social Medicine, King's College London, London, UK.
  • McCrory C; Harvard T.H. Chan School of Public Health, Boston MA, USA.
  • d'Errico A; The Irish Longitudinal Study on Ageing (TILDA), Trinity College Dublin, Dublin, Ireland.
  • Bochud M; Epidemiology Unit, ASL TO3 Piedmont Region, Grugliasco (TO), Italy.
  • Barros H; Institute of Social and Preventive Medicine, Lausanne University Hospital, Biopôle 2-Route de la Corniche 10, 1010 Switzerland.
  • Costa G; EPIUnit-Institute of Public Health, University of Porto, Porto, Portugal.
  • Chadeau-Hyam M; Department of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School, Porto, Portugal.
  • Delpierre C; Epidemiology Unit, ASL TO3 Piedmont Region, Grugliasco (TO), Italy.
  • Gandini M; MRC-PHE Centre for Environment and Health, School of Public Health, Department of Epidemiology and Biostatistics, Imperial College London, London, UK.
  • Fraga S; INSERM, UMR1027, Toulouse, France, and Université Toulouse III Paul-Sabatier, Toulouse, France.
  • Goldberg M; Epidemiology Unit, ASL TO3 Piedmont Region, Grugliasco (TO), Italy.
  • Giles GG; EPIUnit-Institute of Public Health, University of Porto, Porto, Portugal.
  • Lassale C; Population-based Epidemiological Cohorts Unit, INSERM UMS 11, Villejuif, France, and Paris Descartes University, Paris, France.
  • Kenny RA; Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC, Australia.
  • Kelly-Irving M; University College London, Department of Epidemiology and Public Health, London, UK.
  • Paccaud F; The Irish Longitudinal Study on Ageing (TILDA), Trinity College Dublin, Dublin, Ireland.
  • Layte R; INSERM, UMR1027, Toulouse, France, and Université Toulouse III Paul-Sabatier, Toulouse, France.
  • Muennig P; Institute of Social and Preventive Medicine, Lausanne University Hospital, Biopôle 2-Route de la Corniche 10, 1010 Switzerland.
  • Marmot MG; Department of Sociology, Trinity College Dublin, Dublin, Ireland.
  • Ribeiro AI; Global Research Analytics for Population Health, Health Policy and Management, Columbia University, New York, NY, USA.
  • Severi G; University College London, Department of Epidemiology and Public Health, London, UK.
  • Steptoe A; EPIUnit-Institute of Public Health, University of Porto, Porto, Portugal.
  • Shipley MJ; Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC, Australia.
  • Zins M; CESP, Inserm U1018, Université Paris-Saclay, Villejuif, France.
  • Mackenbach JP; Human Genetics Foundation (HuGeF), Turin, Italy.
  • Vineis P; University College London, Department of Epidemiology and Public Health, London, UK.
  • Kivimäki M; University College London, Department of Epidemiology and Public Health, London, UK.
BMJ ; 360: k1046, 2018 03 23.
Article em En | MEDLINE | ID: mdl-29572376
ABSTRACT

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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Classe Social / Envelhecimento / Velocidade de Caminhada Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Classe Social / Envelhecimento / Velocidade de Caminhada Idioma: En Ano de publicação: 2018 Tipo de documento: Article