Your browser doesn't support javascript.
loading
Lifestyle risk factors and all-cause and cause-specific mortality: assessing the influence of reverse causation in a prospective cohort of 457,021 US adults.
Rezende, Leandro F M; Ferrari, Gerson; Lee, Dong Hoon; Aune, Dagfinn; Liao, Bing; Huang, Wentao; Nie, Jing; Wang, Yafeng; Giovannucci, Edward.
Afiliação
  • Rezende LFM; Departamento de Medicina Preventiva, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil.
  • Ferrari G; Universidad de Santiago de Chile (USACH), Escuela de Ciencias de la Actividad Física, el Deporte y la Salud, Santiago, Chile.
  • Lee DH; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
  • Aune D; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
  • Liao B; Department of Nutrition, Bjørknes University College, Oslo, Norway.
  • Huang W; Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway.
  • Nie J; Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
  • Wang Y; School of Nursing, Guangdong Pharmaceutical University, Haizhu District, Guangzhou, China.
  • Giovannucci E; School of Nursing, Guangdong Pharmaceutical University, Haizhu District, Guangzhou, China.
Eur J Epidemiol ; 37(1): 11-23, 2022 Jan.
Article em En | MEDLINE | ID: mdl-34978668
BACKGROUND: Lifestyle risk factors have been associated with increased all-cause and cause-specific mortality, but the influence of reverse causation has been underappreciated as a limitation in epidemiological studies. METHODS: Prospective cohort study including 457,021 US adults from the National Health Interview Survey 1997-2013 linked to the National Death Index records through December 31, 2015. Multivariable Cox models were performed to examine the association of lifestyle risk factors with all-cause and cause-specific mortality. Participants with prevalent diseases and the first 2, 5, 10, and 15 years of follow-up were excluded to account for reverse causation. RESULTS: During 4,441,609 person-years, we identified 60,323 total deaths. Heavy alcohol drinking (HR 1.12; 95% CI 1.08 to 1.16), smoking (HR 1.78; 95% CI 1.74 to 1.83) and lack of physical activity (HR 1.51; 95% CI 1.47 to 1.54) were associated with increased all-cause mortality. Overweight was associated with lower all-cause mortality (HR 0.88; 95% CI 0.86 to 0.90). After exclusion of participants with diseases and first 10 years of follow-up, associations changed to: heavy alcohol drinking (HR 1.31; 95% CI 1.20 to 1.43), smoking (HR 1.99; 95% CI 1.87 to 2.11), lack of physical activity (HR 1.21; 95% CI 1.15 to 1.27), and overweight (HR 1.05; 95% CI 1.00 to 1.10). CONCLUSIONS: Methods to account for reverse causation suggest different effects of reverse causation on the associations between lifestyle risk factors and mortality. Exclusion of participants with diseases at baseline, and exclusion of 5-10 years of follow-up may be necessary to mitigate reverse causation.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças Cardiovasculares / Estilo de Vida Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças Cardiovasculares / Estilo de Vida Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article