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1.
Asia Pac J Clin Nutr ; 14(1): 2-6, 2005.
Artículo en Inglés | MEDLINE | ID: mdl-15734702

RESUMEN

In 1987, the International Union of Nutritional Sciences (IUNS) subcommittee on Nutrition and Ageing, in conjunction with the World Health Organization (WHO) global program for the elderly, embarked on the 'Food Habits in Later Life' (FHILL): a cross-cultural study to determine to what extent health, social and lifestyle variables, especially food intake, collectively predict survival amongst long-lived cultures. A total of 818 participants aged 70 years and over were recruited from five IUNS centres. Mortality data were collected after five to seven years. The cohorts included Swedes in Sweden (SWD), Greeks in Greece (GRS) and in Melbourne, Australia (GRM), Anglo-Celts in Australia (ACS) and Japanese in Japan (JPN). Information was obtained on health, lifestyle and diet at baseline. A Cox Proportional Hazard model containing ten potential predictors of survival, adjusted to age at enrollment and ethnicity/locality, was developed to analyse the survival data. Based on up to seven years survival data, it was found that being an elderly Greek in Australia conferred the lowest mortality risk and being an elderly Greek in Greece conferred the highest mortality risk. When the ten potential predictors of survival were entered into the Cox model, the memory score, the Mediterranean diet score, Activities of Daily Living (ADL) and general health status scores showed the greatest effects in significantly reducing mortality hazard ratios by 22%, 13%, 4% and 4%, respectively. For diet score, a one-unit change predicted a significant 13% difference in survival. Of the lifestyle (modifiable) variables entered in the multivariate model, exercise and social activity were not significant predictors of survival suggesting that diet is a more important predictor of survival than these variables. Another lifestyle variable, smoking, significantly increased mortality hazard ratios by 67%, making it a more important predictor of survival than diet. Being male (non-modifiable) also increased risk of death by 63%. Diet, particularly the Mediterranean Diet, operates irrespective and together with other factors as an appreciable contributor to survival, with a strength comparable to or greater than all other measured variables. The independence and strength of the predictiveness of food pattern for survival, and for this to be cross-cultural from Europe to Asia is a novel and important observation for food and health policy.


Asunto(s)
Dieta/mortalidad , Conducta Alimentaria , Actividades Cotidianas , Factores de Edad , Anciano , Australia/etnología , Comparación Transcultural , Dieta/estadística & datos numéricos , Dieta Mediterránea/estadística & datos numéricos , Femenino , Grecia/etnología , Humanos , Japón/etnología , Masculino , Modelos de Riesgos Proporcionales , Factores Sexuales , Análisis de Supervivencia , Suecia/etnología , Factores de Tiempo
2.
Asia Pac J Clin Nutr ; 13(2): 217-20, 2004.
Artículo en Inglés | MEDLINE | ID: mdl-15228991

RESUMEN

To identify protective dietary predictors amongst long-lived elderly people (N= 785), the "Food Habits in Later Life "(FHILL) study was undertaken among five cohorts in Japan, Sweden, Greece and Australia. Between 1988 and 1991, baseline data on food intakes were collected. There were 785 participants aged 70 and over that were followed up to seven years. Based on an alternative Cox Proportional Hazard model adjusted to age at enrollment (in 5-year intervals), gender and smoking, the legume food group showed 7-8% reduction in mortality hazard ratio for every 20g increase in daily intake with or without controlling for ethnicity (RR 0.92; 95% CI 0.85-0.99 and RR 0.93; 95% CI 0.87-0.99, respectively). Other food groups were not found to be consistently significant in predicting survival amongst the FHILL cohorts.


Asunto(s)
Dieta , Fabaceae , Longevidad , Anciano , Australia , Comparación Transcultural , Etnicidad , Europa (Continente) , Femenino , Humanos , Japón , Estudios Longitudinales , Masculino , Valor Predictivo de las Pruebas , Análisis de Supervivencia
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