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Genetic predisposition, modifiable lifestyles, and their joint effects on human lifespan: evidence from multiple cohort studies.
Bian, Zilong; Wang, Lijuan; Fan, Rong; Sun, Jing; Yu, Lili; Xu, Meihong; Timmers, Paul R H J; Shen, Xia; Wilson, James F; Theodoratou, Evropi; Wu, Xifeng; Li, Xue.
Afiliación
  • Bian Z; Department of Big Data in Health Science, School of Public Health and Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Wang L; Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
  • Fan R; Department of Big Data in Health Science, School of Public Health and Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Sun J; Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, UK.
  • Yu L; Department of Big Data in Health Science, School of Public Health and Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Xu M; Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
  • Timmers PRHJ; Department of Big Data in Health Science, School of Public Health and Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Shen X; Department of Big Data in Health Science, School of Public Health and Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Wilson JF; Department of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing, China.
  • Theodoratou E; Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, UK.
  • Wu X; MRC Human Genetics Unit, MRC Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
  • Li X; Department of Biostatistics, School of Public Health and The Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China.
BMJ Evid Based Med ; 29(4): 255-263, 2024 Jul 23.
Article en En | MEDLINE | ID: mdl-38684374
ABSTRACT

OBJECTIVE:

To investigate the associations across genetic and lifestyle factors with lifespan.

DESIGN:

A longitudinal cohort study.

SETTING:

UK Biobank.

PARTICIPANTS:

353 742 adults of European ancestry, who were recruited from 2006 to 2010 and were followed up until 2021. EXPOSURES A polygenic risk score for lifespan with long (highest quintile) risk categories and a weighted healthy lifestyle score, including no current smoking, moderate alcohol consumption, regular physical activity, healthy body shape, adequate sleep duration, and a healthy diet, categorised into favourable, intermediate, and unfavourable lifestyles. MAIN OUTCOME

MEASURES:

Lifespan defined as the date of death or the censor date minus the date of birth.

RESULTS:

Of the included 353 742 participants of European ancestry with a median follow-up of 12.86 years, 24 239 death cases were identified. Participants were grouped into three genetically determined lifespan categories including long (20.1%), intermediate (60.1%), and short (19.8%), and into three lifestyle score categories including favourable (23.1%), intermediate (55.6%), and unfavourable (21.3%). The hazard ratio (HR) of death for individuals with a genetic predisposition to a short lifespan was 1.21 (95% CI 1.16 to 1.26) compared to those with a genetic predisposition to a long lifespan. The HR of death for individuals in the unfavourable lifestyle category was 1.78 (95% CI 1.71 to 1.85), compared with those in the favourable lifestyle category. Participants with a genetic predisposition to a short lifespan and an unfavourable lifestyle had 2.04 times (95% CI 1.87 to 2.22) higher rates of death compared with those with a genetic predisposition to a long lifespan and a favourable lifestyle. No multiplicative interaction was detected between the polygenic risk score of lifespan and the weighted healthy lifestyle score (p=0.10). The optimal combination of healthy lifestyles, including never smoking, regular physical activity, adequate sleep duration, and a healthy diet, was derived to decrease risk of premature death (death before 75 years).

CONCLUSION:

Genetic and lifestyle factors were independently associated with lifespan. Adherence to healthy lifestyles could largely attenuate the genetic risk of a shorter lifespan or premature death. The optimal combination of healthy lifestyles could convey better benefits for a longer lifespan, regardless of genetic background.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Predisposición Genética a la Enfermedad / Estilo de Vida / Longevidad Límite: Adult / Aged / Female / Humans / Male / Middle aged País/Región como asunto: Europa Idioma: En Revista: BMJ Evid Based Med Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Predisposición Genética a la Enfermedad / Estilo de Vida / Longevidad Límite: Adult / Aged / Female / Humans / Male / Middle aged País/Región como asunto: Europa Idioma: En Revista: BMJ Evid Based Med Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido