Position of the Academy of Nutrition and Dietetics: The Role of Nutrition in Health Promotion and Chronic Disease Prevention

Slawson, Deborah; Fitzgerald, Nurgül; Morgan, Kathleen T.

doi:10.1016/j.jand.2013.05.005

Cited by 121 publications

(81 citation statements)

References 68 publications

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“…During the lifespan, there are multiple factors influence the longevity including genotype, metabolism, physiology, sociodemographic and environmental factors, nutritional and lifestyle habv its. A healthy lifestyle is fundamental in disease prevention and expanding longevity [2,3]. Nutrition during the life time has an effect on the health status.…”

Section: Introductionmentioning

confidence: 99%

Impact of Dietary Pattern on Human Life Quality and Life Expectancy: A Mini-Review

Gezer

2018

RISM

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During the lifespan, there are multiple factors influence the longevity including genotype, metabolism, physiology, sociodemographic and environmental factors, nutritional and lifestyle habits. Nutrition during the life time has an effect on the health status. Dietary indexes, certain dietary patterns and dietary guidelines have been used for analysing dietary pattern and life expectancy relationship in many studies. Dietary pattern has an important effect on longevity. The cohort study results indicate that diet quality and Medittarenean diet have potential effects on longevity. The important effects of nutrition on longevity related with quality, quantity, frequency, variety and emotional satisfaction. Therefore, nutritional strategies that provide clear benefits for ageing linked with both physiological and psychological functions to maintain life quality. The aspiration is not only to "live longer" but to "live better," and to maintain optimal qual¬ity of life during the later stages of life. Volume -2 Issue -5can used as a predictor of short-term mortality [14,15]. Another longitudinal study with 3328 old men (60-79 years), Healthy Diet Indicator (based on WHO dietary guidelines) and the Elderly Dietary Index (based on a mediterranean dietary pattern) indicated that high diet quality is associated with all-cause mortality [16]. In addition, the longitudinal British Diet and Nutrition Survey with 972 participants (aged ≥65 years) measured the diet quality with three index and while the Healthy Diet Score was not a predictor of mortality, the Recommended Food Score and the Mediterranean Diet Score were related with all-cause mortality [17]. Also, the Breast Cancer Detection Demonstration Project, a prospective cohort study results showed that low diet quality is related with increased mortality risk [18]. In addition, American Cancer Society Cancer Prevention Study II Nutrition Cohort study results indicate that diet quality was related with all cause and all circulatory disease mortality rates [15]. According to results of First National Health and Nutrition Examination Survey (NHANNES)-I low dietary diversity significantly correlates with high mortality risk of both men and women [19]. Another prospective study in Sweden conducted with women, demonstrated that cancer mortality of women who consume high consumption of red meats, refined carbohydrates, sugars, foods involve high saturated and trans fat is higher than women who consume that foods low amount [20]. According to the 16-year follow-up Whitehall II cohort study results, to be avoide from fried and sweet food, processed and red meat, refined grains, and high-fat dairy products is associated with a higher odds of disease-free and highly functional elderly [21]. Also, the prospective study in Europe with 452,717 participants indicated that increased fiber is associated with lower total mortality rate, and as a fiber source cereals-vegetables have effects more than fruits [22]. Mediterranean DietThe characteristics of Mediterranean diet is a h...

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Section: Introductionmentioning

confidence: 99%

Impact of Dietary Pattern on Human Life Quality and Life Expectancy: A Mini-Review

Gezer

2018

RISM

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“…Para el 2005, según la Organización Mundial de Salud, 1.6 billones de personas alrededor del mundo tenían exceso de peso y al menos 400 millones eran obesas (Slawson, Fitzgerald y Morgan, 2013). Esta enfermedad es causada por una compleja interacción entre el ambiente, la predisposición genética y el comportamiento humano.…”

Section: Discussionunclassified

“…Así mismo, en Inglaterra el aumento en la posesión de autos y en el hábito de ver televisión se ha relacionado con aumento de obesidad en la población. Además, es evidente que la disponibilidad y el precio de los productos alimenticios, afecta el consumo, así como la calidad de los parques locales afecta los niveles de actividad física en una comunidad (Slawson et al, 2013). La evidencia científica indica que los determinantes más importantes para la incidencia de Enfermedades Crónicas No Transmisibles (ECNT) son los patrones de alimentación inadecuados, las prácticas de estilo de vida (fumado, alcohol y sedentarismo) y el exceso de peso corporal (OMS, 2011).…”

Section: Discussionunclassified

Prevalencia de malnutrición según grupos de edad en diferentes comunidades de Costa Rica entre 1997 y 2014

Chinnock

Flores

2017

PSM

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De las familias seleccionadas en cada comunidad, se tomaron los datos de peso y talla de todos los miembros. Para el análisis de los datos se utilizaron los estándares de crecimiento y puntos de corte recomendados por la Organización Mundial de Salud. Resultados: se presenta la información de 25 encuestas realizadas durante un periodo de 17 años. Con el paso de los años, se observa en los grupos de menor de edad (< 20 años) una reducción en los problemas de déficit en peso y talla, y un aumento en porcentaje de individuos con exceso o riesgo de exceso de peso. En la población de adultos, se observa el mismo fenómeno de aumento en exceso de peso; y en las personas adultos mayores, una disminución en el porcentaje con déficit de peso. Discusión: se compara la información presentada con otras publicaciones que reportan resultados similares y se comenta sobre las causas y consecuencias del problema de exceso de peso. Conclusión: durante el periodo, se encontró una reducción en la prevalencia de déficit en peso y talla en los grupos de menor de edad; y, en peso en personas adultos mayores; además, un aumento en la prevalencia de exceso de peso en todos los grupos de edad. Methods: an analysis of data collected by nutrition students of the University of Costa Rica between 1997 and 2014 is presented. All members of the selected families were weighed and their height measured. Growth references and cut-off points of World Health Organization were used in the analysis. Results: information for 25 studies collected during 17 years is presented. Among the under-20 age groups, with the passage of time, a reduction can be seen in prevalence of low weight and height and an increase in prevalence of excess weight or risk of excess weight. An increasing prevalence of excess weight can also be observed in the adults and amongst the elderly, there was a reduction in the prevalence of weight deficit. Discussion: the information presented is compared to other publications which report similar results and the causes and consequences of excess weight are discussed. Conclusion: with the passage of time, a reduction was observed in the prevalence of low weight and height in the under-20 age groups and in the prevalence of low weight in the elderly. There was an increase in the prevalence of excess weight in all the age groups.

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“…Habits have a great impact on the existence or extent of disease (WHO, 2003;Slawson et al, 2013). More than being responsible for temporary medical conditions, they are responsible for long-term medical conditions and chronic diseases.…”

Section: Habitsmentioning

confidence: 99%

Disease management: clustering-based disease prediction

Kaushik

Kapoor²,

Varadharajan

et al. 2014

IJCENT

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Abstract:The latest trends in healthcare industry have made enormous data available which is useful for disease prediction. This may be utilised by provider/payer for disease management study (DMS) for judging the present health condition and analysing disease trends. The present approach depends upon objective analysis which is based on binary value of symptoms and health indicators and direct relation between them. We propose a framework based on analytics to diagnose and predict diseases using enhanced genetic clustering using patient history, symptoms, and existing medical condition. New patient's profile is analysed against existing patterns and mapped to a particular cluster based on the patient's medical parameters. After cluster formation, cohesion and adhesion between the clusters is determined, which helps to predict present medical condition and probability for being prone to a disease in future. This framework provides an efficient disease management based on the preliminary diagnosis of the patient. 70 K. Kaushik et al.Keywords: disease management; disease prediction; disease analysis; clustering; healthcare; big data analytics.Reference to this paper should be made as follows: Kaushik, K., Kapoor, D., Varadharajan, V. and Nallusamy, R. (2014) Biographical notes: Kulvaibhav Kaushik working in research stream at Infosys Limited, has a BTech in Computer Science from IIT Roorkee. He has worked on mobile money, merchant transactions, healthcare, big data analytics, cloud computing, and gamification. Much of his research has been carried out over network security, elliptical curve cryptography, and searchable encryption. He has filed patents for methods of secure data storage at cloud and multiuser encryption methodology. He has a few publications in IEEE and others and has delivered keynote address at various national and international conferences. He is also an editor for a mobile payments magazine.Divya Kapoor is a confident healthcare Quality Analyst with more than five years of experience in insurance and provider sector. She is an American health insurance primer Part A and part B certified professional. She has worked on various information technology systems in claim adjudication, revenue cycle, management, and hospital ecosystem.Vijayaraghavan Varadharajan is Senior Research Scientist at Infosys Limited where he is doing research in the field of security assessment, watermarking techniques, network security, and security in converged networks. He has published many papers in international journals and conference proceedings and authored few patents in the area of network security. He has also refereed for many journals and served as a TPC Member of several IEEE and ACM international conferences. He holds a Bachelor of Engineering degree in EC Engineering, MTech in Advanced computing and PhD degree in Information and communication engineering.Rajarathnam Nallusamy is currently the Founder and Managing

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Position of the Academy of Nutrition and Dietetics: The Role of Nutrition in Health Promotion and Chronic Disease Prevention

Cited by 121 publications

References 68 publications

Impact of Dietary Pattern on Human Life Quality and Life Expectancy: A Mini-Review

Impact of Dietary Pattern on Human Life Quality and Life Expectancy: A Mini-Review

Prevalencia de malnutrición según grupos de edad en diferentes comunidades de Costa Rica entre 1997 y 2014

Disease management: clustering-based disease prediction

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