{"title":"Optimizing Diet Problem for Cardiovascular Disease in Fuzzy Environment by Using Multi-Objective Fuzzy Linear Programming","authors":"H. Eghbali","doi":"10.2139/ssrn.3476280","DOIUrl":"https://doi.org/10.2139/ssrn.3476280","url":null,"abstract":"Our purpose in this paper is to present a proper diet model for cardiovascular patients in the fuzzy environment. In previous studies many efforts were made regarding preparation of a diet model appropriate for different age groups. But in most studies the daily nutrient intake decisions were made based on crisp data. By prescribing a diet based on crisp data, some of realities are neglected. For the same reason, we dealt with human diet problem through fuzzy approach. Also due to the importance of nutrition for individuals, especially patients with cardiovascular diseases, we have provided nutrition model as multi-objective fuzzy linear programming problem in which minimization of saturated fats, salt, monosaccharide and amount of received calery are considered as our objectives. First we review literature of fuzzy mathematics and then we will discuss nutrition model of cardiovascular patients in the fuzzy environment. Results indicated uncertainty about amount of nutrients and their intake affects diet quality making it more realistic.","PeriodicalId":286952,"journal":{"name":"MedRN: Other Nutrition (Topic)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115820167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Late 19th and Early 20th Century Native and Immigrant Body Mass Index Values","authors":"S. Carson","doi":"10.2139/ssrn.3109325","DOIUrl":"https://doi.org/10.2139/ssrn.3109325","url":null,"abstract":"When traditional measures for health and economic welfare are scarce or unreliable, height and the body mass index (BMI) are now well-accepted measures that reflect net nutrition during economic development. To date, there is no study that compares 19th century BMIs of immigrants and US natives. Individuals in the New South and West had high BMIs, while those in the upper South and Northeast had lower BMIs. Immigrants from Europe had the highest BMIs, while immigrants from Asia were the lowest. African-Americans and mixed-race individuals had greater BMIs than fairer complexioned whites. After accounting for occupational selection, workers in agricultural occupations had greater BMIs. Close proximity to rural agriculture decreased the relative price of food, increased net nutrition, and was associated with higher BMIs.","PeriodicalId":286952,"journal":{"name":"MedRN: Other Nutrition (Topic)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126201829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Double Burden: Obesity Among Iron Deficiency Anemic Nursing Students","authors":"U. Sittisingh","doi":"10.2139/ssrn.3005012","DOIUrl":"https://doi.org/10.2139/ssrn.3005012","url":null,"abstract":"Background: The Fourth Thai National Health Examination Survey in 2008-9 reported that the prevalence of the overweight and obese employing the Body Mass Index (BMI) >25 kg/m2 for BMI cut-off points for Asian population was 20.6% among females aged 15-29 years and iron deficiency anemia (IDA) classifying by the World Health Organization (WHO) criteria with Hemoglobin (Hb) < 12 g/dL in women above 15 years of age was 25.3%. \u0000 \u0000Methods: A cross-sectional survey was conducted among 57 females aged 18 – 22 years out of 114 of 1st year nursing students. Hb concentration examination, BMI and self administrated questionnaires were completed on the day of their annual physical checkups. This study aimed to investigate the prevalence of obesity among IDA nursing students at St Theresa International College in Nakhon Nayok Province, Central, Thailand. \u0000 \u0000Results: The prevalence of overweight and obese (BMI > 25 kg/m2 ) was 5.3% while the prevalence of IDA (Hb 27.5) were 28.1, 57.9, 10.5 and 3.4% respectively. Among this group, IDA was found in 12.5, 27.3, 33.3 and 100% in each BMI category respectively. When international classification was used it showed that underweight ( 30.0) was 28.1, 66.7, 3.5 and 1.8 % respectively and IDA was in 12.5, 23.2, 50 and 100% respectively. In this study, it was statistically significant difference between IDA and the non-IDA with the students’ body weight (Kruskal – Wallis test = 4.31, p< 0.05) and between the normal-weight and overweight with the students' duration of menstruation (Kruskal-Wallis H test = 6.54, p < 0.05). \u0000 \u0000Conclusions: Both IDA and obesity are signs of malnutrition. IDA is a condition of undernutrition while obesity is over-nutrition. However it is known that they seem to be bound up with such as poor dietary iron intake, increased iron requirements, and impaired iron absorption in obese individually. Nutrition education should be considered and demonstrate the effectiveness of the program for more understanding of the problem.","PeriodicalId":286952,"journal":{"name":"MedRN: Other Nutrition (Topic)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125509216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}