Red meat, poultry and fish consumption and risk of diabetes: a 9 year prospective cohort study of the China Kadoorie Biobank
Du H, Guo Y, Bennett DA, Bragg F, Bian Z, Chadni M, Yu C, Chen Y, Tan Y, Millwood IY, Gan W, Yang L, Yao P, Luo G, Li J, Qin Y, Lv J, Lin X, Key T, Chen J, Clarke R, Li L, Chen Z, China Kadoorie Biobank collaborative group
Diabetologia · 51 citas
Etiquetas de revisión
Cuestionario de frecuencia de consumoMezcla carne procesada con no procesadaSin 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
- Organización sin fines de lucro
- Wellcome Trust
- Organización sin fines de lucro
- Cancer Research UK
- Organización sin fines de lucro
- British Heart Foundation
- Universidad u hospital
- University of Oxford
- Gobierno
- National Natural Science Foundation of China
- Gobierno
- Chinese Center for Disease Control and Prevention
- Universidad u hospital
- Chinese Academy of Medical Sciences
- Organización sin fines de lucro
- BHF Centre of Research Excellence, Oxford
- Organización sin fines de lucro
- Kadoorie Charitable Foundation
- Gobierno
- Centers for Disease Control and Prevention
- Gobierno
- Medical Research Council
- Gobierno
- National Key Research and Development Program of China
- Gobierno
- Chinese National Natural Science Foundation
- Subvenciones
- Wellcome Trust (212946/Z/18/Z); Wellcome Trust (202922/Z/16/Z); Medical Research Council (MC_UU_00017/1); Wellcome Trust (088158/Z/09/Z); Wellcome Trust (104085/Z/14/Z); Wellcome Trust (205212/Z/16/Z); Cancer Research UK (29186)
Según 13 financiadores declarados y la declaración de financiación del texto completo.
Publicación
- Publicado
- 2020-01-22 · Diabetologia · vol. 63 · número 4 · págs. 767–779
- Editorial
- Springer Science+Business Media
- Citado
- 65 citas · más que el 97% de estudios similares · 6.5× el promedio de su campo
- Impacto
- Entre el 10 % más citado de su campo
- Referencias
- 42 trabajos
- Acceso
- Acceso abierto (revista híbrida) · CC-BY
- Áreas de investigación
- Nutritional Studies and Diet · Fatty Acid Research and Health · Agriculture Sustainability and Environmental Impact
- Palabras clave
- Red meat, Medicine, Diabetes mellitus, Environmental health, Prospective cohort study, Biobank, Population, Incidence (geometry), Demography, Cohort study, Lower risk, Internal medicine, Confidence interval, Biology, Endocrinology
- MeSH
- animals, poultry, fishes, humans, diabetes mellitus, nutrition surveys, risk factors, feeding behavior, adult, aged, middle aged, biological specimen banks, china, female, male, red meat
24 autores
- on behalf of the China Kadoorie Biobank collaborative group🇬🇧University of Oxford
- Huaidong Du🇨🇳🇬🇧 · autor de correspondenciaChinese Academy of Medical Sciences & Peking Union Medical College; University of Oxford
- Canqing Yu🇨🇳🇬🇧 · autor de correspondenciaChinese Academy of Medical Sciences & Peking Union Medical College; University of Oxford
- Derrick Bennett🇬🇧University of Oxford
- Fiona Bragg🇨🇳🇬🇧Chinese Academy of Medical Sciences & Peking Union Medical College; University of Oxford
- Zheng Bian🇨🇳🇬🇧Chinese Academy of Medical Sciences & Peking Union Medical College; University of Oxford
- Mahmuda Chadni🇨🇳🇬🇧Peking University; University of Oxford
- Canqing Yu🇨🇳🇬🇧Peking University; University of Oxford; Medical Research Council
- Yiping Chen🇨🇳🇬🇧Chinese Academy of Medical Sciences & Peking Union Medical College; University of Oxford; Medical Research Council
- Yunlong Tan🇨🇳🇬🇧Chinese Academy of Medical Sciences & Peking Union Medical College; University of Oxford; Medical Research Council
- Iona Y. Millwood🇬🇧Centre for Human Genetics; University of Oxford; Medical Research Council
- Wei Gan🇬🇧Centre for Human Genetics; University of Oxford; Medical Research Council
- Ling Yang🇬🇧University of Oxford; Medical Research Council
- Pang Yao🇬🇧🇨🇳University of Oxford; Chengdu Center for Disease Control and Prevention
- Guojin Luo🇨🇳Chengdu Center for Disease Control and Prevention
- Jianguo Li🇨🇳Liu Zhou Center for Disease Prevention and Control; Chengdu Center for Disease Control and Prevention
- Yulu Qin🇨🇳Peking University; Liu Zhou Center for Disease Prevention and Control
- Jun Lv🇨🇳Peking University; Shanghai Institute of Nutrition and Health
- Xu Lin🇬🇧🇨🇳University of Oxford; Shanghai Institute of Nutrition and Health
- Timothy J. Key🇬🇧🇨🇳University of Oxford; China National Center for Food Safety Risk Assessment
- Junshi Chen🇬🇧🇨🇳University of Oxford; China National Center for Food Safety Risk Assessment
- Robert Clarke🇨🇳🇬🇧Peking University; University of Oxford
- Liming Li🇨🇳🇬🇧Peking University; University of Oxford
- Zhengming Chen🇬🇧University of Oxford
Resumen
El texto original del estudio, en el idioma en que se publicó.
Aims/hypothesis
Previous evidence linking red meat consumption with diabetes risk mainly came from western countries, with little evidence from China, where patterns of meat consumption are different. Moreover, global evidence remains inconclusive about the associations of poultry and fish consumption with diabetes. Therefore we investigated the associations of red meat, poultry and fish intake with incidence of diabetes in a Chinese population.
Methods
The prospective China Kadoorie Biobank recruited ~512,000 adults (59% women, mean age 51 years) from ten rural and urban areas across China in 2004-2008. At the baseline survey, a validated interviewer-administered laptop-based questionnaire was used to collect information on the consumption frequency of major food groups including red meat, poultry, fish, fresh fruit and several others. During ~9 years of follow-up, 14,931 incidences of new-onset diabetes were recorded among 461,036 participants who had no prior diabetes, cardiovascular diseases or cancer at baseline. Cox regression analyses were performed to calculate adjusted HRs for incident diabetes associated with red meat, poultry and fish intake.
Results
At baseline, 47.0%, 1.3% and 8.9% of participants reported a regular consumption (i.e. ≥4 days/week) of red meat, poultry and fish, respectively. After adjusting for adiposity and other potential confounders, each 50 g/day increase in red meat and fish intake was associated with 11% (HR 1.11 [95% CI 1.04, 1.20]) and 6% (HR 1.06 [95% CI 1.00, 1.13]) higher risk of incident diabetes, respectively. For both, the associations were more pronounced among men and women from urban areas, with an HR (95% CI) of 1.42 (1.15, 1.74) and 1.18 (1.03, 1.36), respectively, per 50 g/day red meat intake and 1.15 (1.02, 1.30) and 1.11 (1.01, 1.23), respectively, per 50 g/day fish intake. There was no significant association between diabetes and poultry intake, either overall (HR 0.96 [95% CI 0.83, 1.12] per 50 g/day intake) or in specific population subgroups.
Conclusions/interpretation
In Chinese adults, both red meat and fish, but not poultry, intake were positively associated with diabetes risk, particularly among urban participants. Our findings add new evidence linking red meat and fish intake with cardiometabolic diseases.
Data availability
Details of how to access the China Kadoorie Biobank data and rules of China Kadoorie Biobank data release are available from www.ckbiobank.org/site/Data+Access.
Resumen vía Europe PMC. Los derechos de autor siguen siendo de los autores o la editorial (CC BY).
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