Apolipoprotein E Genotype, Meat, Fish, and Egg Intake in Relation to Mortality Among Older Adults: A Longitudinal Analysis in China
Jin X, Xiong S, Yuan C, Gong E, Zhang X, Yao Y, Leng Y, Niu Z, Zeng Y, Yan LL
Frontiers in medicine · 6 citas
Etiquetas de revisión
Vínculos de autores con la industriaCuestionario de frecuencia de consumoSin ajuste declarado por estilo de vidaDatos neutrales que nuestra revisión registró sobre cómo se hizo este estudio. Describen el método, nunca si nos gusta el resultado.
Cómo se estudió
- Diseño
- Estudio de cohortes (clasificado por nuestro filtro de IA)
- Estudiado en
- Personas
- Resultado principal
- Eventos clínicos como enfermedad o muerte
- Consumo medido con
- Cuestionario de frecuencia de consumo
Quién lo pagó
- Financiación
- Financiación independiente
- Autores
- Al menos un autor declara un vínculo económico con la industria
Según la declaración de financiación del texto completo.
Publicación
- Publicado
- 2021-07-20 · Front Med (Lausanne) · vol. 8 · pág. 697389
- Editorial
- Frontiers Media
- Citado
- 6 citas · más que el 69% de estudios similares · 0.6× el promedio de su campo
- Referencias
- 38 trabajos
- Acceso
- Acceso abierto (revista) · CC-BY
- Áreas de investigación
- Nutritional Studies and Diet · Consumer Attitudes and Food Labeling · Nutrition, Genetics, and Disease
- Palabras clave
- Apolipoprotein E, Genotype, Hazard ratio, Biology, Proportional hazards model, White meat, Longitudinal study, Population, Animal science, Physiology, Medicine, Internal medicine, Confidence interval, Food science, Environmental health, Disease, Genetics, Pathology
10 autores
- Xurui Jin🇨🇳Duke Kunshan University
- Shangzhi Xiong🇦🇺🇨🇳UNSW Sydney; The George Institute for Global Health; Duke Kunshan University
- Changzheng Yuan🇨🇳Zhejiang University
- Enying Gong🇦🇺The University of Melbourne
- Xian Zhang
- Yao Yao🇨🇳Peking University
- Yu Leng🇨🇳Duke Kunshan University
- Zhangming Niu
- Yi Zeng🇺🇸🇨🇳Duke University; Peking University; Duke Institute for Health Innovation
- Lijing L. Yan🇺🇸🇨🇳 · autor de correspondenciaNorthwestern University; Duke University; Duke Institute for Health Innovation; George Institute for Global Health; Duke Kunshan University
Resumen
El texto original del estudio, en el idioma en que se publicó.
Introduction: The interactions between apolipoprotein E (APOE) genotype and diet pattern changes were found significant in several trials, implying that APOE gene may modify the effect of animal protein-rich food on health outcomes. We aim to study the interaction of APOE genotype with the effect of meat, fish and egg intake on mortality. Methods: This population-based study enrolled 8,506 older adults (mean age: 81.7 years, 52.3% female) from the Chinese Longitudinal Healthy Longevity Study. The intake frequency of meat, fish and egg was assessed by 3-point questions at baseline. Cox regression was conducted to calculate the hazard ratios for all-cause mortality of intake levels of meat, fish and egg. The analyses were stratified by APOE genotype and sex. The analyses were performed in 2020. Results: In the multivariable-adjusted models, meat and fish intake was associated with all-cause mortality (high vs. low intake: meat: HR: 1.14, 95% CI: 1.01, 1.28; fish: HR: 0.83, 95% CI: 0.73, 0.95). APOE genotype have significant interactions with meat and fish intake (Ps APOE ε4 carriers. High meat intake was significantly associated with higher risks of mortality (HR: 1.13, 95% CI: 1.04-1.25) only among the APOE ε4 non-carriers. The interactive relationship was restricted among the male. No significant findings were observed between egg and mortality among carriers or non-carriers. Conclusions: Among Chinese older adults, the significance of associations of mortality with reported meat or fish intake depended on APOE-E4 carriage status. If validated by other studies, our findings provide evidence for gene-based "precision" lifestyle recommendations.
Resumen vía Europe PMC. Los derechos de autor siguen siendo de los autores o la editorial (CC BY).
Confianza de la comunidad
Cargando…
¿Cuánto confías en los hallazgos de este estudio?
Comentarios
¿Algo está mal aquí?
Señala este estudio si su información, etiquetas o financiación parecen incorrectas. Un editor revisa cada señalamiento.
Información educativa sobre investigación publicada. No es consejo médico ni una recomendación para empezar o dejar nada.