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SUN-P179: Prevalence of Malnutrition According to the New ESPEN Definition in A Population of Nursing Home Residents
Nutritional epidemiology 1
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significant association between obesity risk and PA. Inspection of the final regression model, girls who eat soup in a daily basis were 78% less likely to be classified as overweight/obese than their peers who do not consume soup regularly. Conclusion: After controlling for confounders, PA and risk of obesity were not significant related in Portuguese boys and girls. However, the present cross-sectional study revealed an inverse relation between soup consumption and female child weight. References Machado-Rodrigues AM, et al. Preventive Medicine. 2014;69:132–4. Valente H, et al. Public Health Nutrition. 2011;14(1):127–32. Disclosure of Interest: None declared
SUN-P179 PREVALENCE OF MALNUTRITION ACCORDING TO THE NEW ESPEN DEFINITION IN A POPULATION OF NURSING HOME RESIDENTS B. Lardiés-Sánchez1, A. Sanz-París1, L. Pérez-Fernández1, I. Azcona-Monreal1, M. Martínez-García1, D. Boj-Carceller1. 1 Endocrinology and Nutrition, Hospital Universitario Miguel Servet, Zaragoza, Spain Rationale: To assess the nutritional status of elderly people living in public nursing homes according the new ESPEN consensus definition of malnutrition [1]. Methods: A cross-sectional study was performed with data collected from 383 elderly people living in three nursing homes in Zaragoza (Spain). The first step was to screen the risk of malnutrition applying the Mini Nutritional Assessment (MNA) screening tool. In people with risk, anthropometric parameters were measured, body composition using bio-impedance analysis was assessed, and questions about unintentional weight loss were asked. All data obtained were analyzed by SPSS statistic program. Results: Subjects had a mean age of 85.25 (±8.15) years old, and 70.2% were females. Prevalence rates of malnutrition according to the new ESPEN consensus definition and to its individual diagnostic criteria are in table 1. Table 1: Data are presented as % Screened at risk of malnutrition according to MNA test (%) Malnourished according to ESPEN definition (%) 2 BMI < 18.5 kg/m . – Unintentional weight loss (WL) >10% indefinite of time or 5% over the last 3 months 2 2 – BMI < 20 kg/m if <70 years of age, or <22 kg/m if >70 years of age 2 – FFMI < 15 and 17 kg/m in females and males, respectively – Unintentional WL + low BMI according to ESPEN definition – Unintentional WL + low FFMI according to ESPEN definition
64.1% 17.5% 6.25% 18.75% 11.25% 15% 7.5% 3.75%
MNA: Mini Nutritional Assessment. BMI: body mass index. FFMI: fat free mass index. WL: weight loss
Conclusion: The prevalence of malnutrition with the new ESPEN consensus criteria was 17.5% in a population of nursing home residents. A low BMI wasńt a frequent criterion, which may justify the measurement of FFMI as an alternative option References [1] Cederholm T et al. Diagnostic criteria for malnutrition-an ESPEN consensus statement. Clin Nutr 2015 Jun; 34(3):335–40 Disclosure of Interest: None declared
SUN-P180 BARRIERS TO HEALTHY EATING IN SWITZERLAND: A NATIONWIDE STUDY C. de Mestral1, S. Stringhini1, P. Marques-Vidal2. 1Institute of Social and Preventive Medicine, 2Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland Rationale: Barriers can hinder healthy eating in patients and the general population. Methods: Using representative cross-sectional data from the Swiss Health Survey 2012, we assessed, separately by gender, the prevalence of ten self-reported barriers and their association with demographic and socioeconomic determinants; we used age- and multivariable-adjusted logistic regression and report the odds ratio for likelihood to identify each barrier. Results: The most prevalent barriers were “price” (43.2% in women, 35.8% in men), “daily habits, constraints” (39.8%, 37.5%), “fondness of good food” (38.8%, 51.0%), “time constraint” (34.8%, 29.0%) and “lack of willpower” (22.0%, 21.2%). Prevalence of most barriers decreased with age, increased for “fondness of good food” and remained constant for “price.” After multivariable adjustment, obese participants were more likely to report “fondness of good food” [Odds ratio (95% confidence interval) for obese vs normal weight women and men, respectively: 1.63 (1.38–1.91), 2.02 (1.72–2.38)]. Loweducation participants were more likely to report “fondness of good food” [mandatory vs tertiary women and men, respectively: 1.93 (1.62–2.39), 1.51 (1.26–1.81)], but less likely to report “lack of willpower” [0.45 (0.38–0.55), 0.40 (0.33–0.49)] and “time constraint” [0.61 (0.51–0.73), 0.78 (0.63–0.96)]. Low-income participants were more likely to report “price” [lowest vs highest quartile for women and men, respectively, 1.65 (1.43–1.90), 1.47 (1.26–1.71)] but less likely to report “lack of willpower” [0.71 (0.61–0.82), 0.40 (0.33–0.49)]. Smoking, living situation, nationality and living area showed little or no association. Conclusion: Several barriers to healthy eating were highly prevalent regardless of gender; the most important determinants were age, obesity, education, and income, with different effects per barrier. This requires multifaceted interventions to tackle several barriers simultaneously. Disclosure of Interest: None declared
SUN-P181 UNCOMMON CASE OF CYANOGENIC GLYCOSIDES FOOD POISONING IN A EUROPEAN COUNTRY C. Cobilinschi1, R. C. Tincu2, D. Tomescu3, Z. Ghiorghiu1, R. A. Macovei1. 1Anesthesiology, Intensive Care and Toxicology, 2 Anesthesiology and Intensive Care, Clinical Emergency Hospital Bucharest, 3Anesthesiology and Intensive Care, Fundeni Clinical Institute, Bucharest, Romania Rationale: Cyanogenic glycosides are plant metabolites which are found in a variety of edible plants (linseed, bitter apricot kernels, cassava roots, etc.). Their potential toxicity of cyanogenic glycosides arises from enzymatic degradation that produces hydrogen cyanide, ketone or aldehyde, which may result in acute cyanide poisoning. Methods: We report the case of a 34-years old female patient, with not significant medical hystory, who ingested a half of raw
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significant association between obesity risk and PA. Inspection of the final regression model, girls who eat soup in a daily basis were 78% less likely to be classified as overweight/obese than their peers who do not consume soup regularly. Conclusion: After controlling for confounders, PA and risk of obesity were not significant related in Portuguese boys and girls. However, the present cross-sectional study revealed an inverse relation between soup consumption and female child weight. References Machado-Rodrigues AM, et al. Preventive Medicine. 2014;69:132–4. Valente H, et al. Public Health Nutrition. 2011;14(1):127–32. Disclosure of Interest: None declared
SUN-P179 PREVALENCE OF MALNUTRITION ACCORDING TO THE NEW ESPEN DEFINITION IN A POPULATION OF NURSING HOME RESIDENTS B. Lardiés-Sánchez1, A. Sanz-París1, L. Pérez-Fernández1, I. Azcona-Monreal1, M. Martínez-García1, D. Boj-Carceller1. 1 Endocrinology and Nutrition, Hospital Universitario Miguel Servet, Zaragoza, Spain Rationale: To assess the nutritional status of elderly people living in public nursing homes according the new ESPEN consensus definition of malnutrition [1]. Methods: A cross-sectional study was performed with data collected from 383 elderly people living in three nursing homes in Zaragoza (Spain). The first step was to screen the risk of malnutrition applying the Mini Nutritional Assessment (MNA) screening tool. In people with risk, anthropometric parameters were measured, body composition using bio-impedance analysis was assessed, and questions about unintentional weight loss were asked. All data obtained were analyzed by SPSS statistic program. Results: Subjects had a mean age of 85.25 (±8.15) years old, and 70.2% were females. Prevalence rates of malnutrition according to the new ESPEN consensus definition and to its individual diagnostic criteria are in table 1. Table 1: Data are presented as % Screened at risk of malnutrition according to MNA test (%) Malnourished according to ESPEN definition (%) 2 BMI < 18.5 kg/m . – Unintentional weight loss (WL) >10% indefinite of time or 5% over the last 3 months 2 2 – BMI < 20 kg/m if <70 years of age, or <22 kg/m if >70 years of age 2 – FFMI < 15 and 17 kg/m in females and males, respectively – Unintentional WL + low BMI according to ESPEN definition – Unintentional WL + low FFMI according to ESPEN definition
64.1% 17.5% 6.25% 18.75% 11.25% 15% 7.5% 3.75%
MNA: Mini Nutritional Assessment. BMI: body mass index. FFMI: fat free mass index. WL: weight loss
Conclusion: The prevalence of malnutrition with the new ESPEN consensus criteria was 17.5% in a population of nursing home residents. A low BMI wasńt a frequent criterion, which may justify the measurement of FFMI as an alternative option References [1] Cederholm T et al. Diagnostic criteria for malnutrition-an ESPEN consensus statement. Clin Nutr 2015 Jun; 34(3):335–40 Disclosure of Interest: None declared
SUN-P180 BARRIERS TO HEALTHY EATING IN SWITZERLAND: A NATIONWIDE STUDY C. de Mestral1, S. Stringhini1, P. Marques-Vidal2. 1Institute of Social and Preventive Medicine, 2Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland Rationale: Barriers can hinder healthy eating in patients and the general population. Methods: Using representative cross-sectional data from the Swiss Health Survey 2012, we assessed, separately by gender, the prevalence of ten self-reported barriers and their association with demographic and socioeconomic determinants; we used age- and multivariable-adjusted logistic regression and report the odds ratio for likelihood to identify each barrier. Results: The most prevalent barriers were “price” (43.2% in women, 35.8% in men), “daily habits, constraints” (39.8%, 37.5%), “fondness of good food” (38.8%, 51.0%), “time constraint” (34.8%, 29.0%) and “lack of willpower” (22.0%, 21.2%). Prevalence of most barriers decreased with age, increased for “fondness of good food” and remained constant for “price.” After multivariable adjustment, obese participants were more likely to report “fondness of good food” [Odds ratio (95% confidence interval) for obese vs normal weight women and men, respectively: 1.63 (1.38–1.91), 2.02 (1.72–2.38)]. Loweducation participants were more likely to report “fondness of good food” [mandatory vs tertiary women and men, respectively: 1.93 (1.62–2.39), 1.51 (1.26–1.81)], but less likely to report “lack of willpower” [0.45 (0.38–0.55), 0.40 (0.33–0.49)] and “time constraint” [0.61 (0.51–0.73), 0.78 (0.63–0.96)]. Low-income participants were more likely to report “price” [lowest vs highest quartile for women and men, respectively, 1.65 (1.43–1.90), 1.47 (1.26–1.71)] but less likely to report “lack of willpower” [0.71 (0.61–0.82), 0.40 (0.33–0.49)]. Smoking, living situation, nationality and living area showed little or no association. Conclusion: Several barriers to healthy eating were highly prevalent regardless of gender; the most important determinants were age, obesity, education, and income, with different effects per barrier. This requires multifaceted interventions to tackle several barriers simultaneously. Disclosure of Interest: None declared
SUN-P181 UNCOMMON CASE OF CYANOGENIC GLYCOSIDES FOOD POISONING IN A EUROPEAN COUNTRY C. Cobilinschi1, R. C. Tincu2, D. Tomescu3, Z. Ghiorghiu1, R. A. Macovei1. 1Anesthesiology, Intensive Care and Toxicology, 2 Anesthesiology and Intensive Care, Clinical Emergency Hospital Bucharest, 3Anesthesiology and Intensive Care, Fundeni Clinical Institute, Bucharest, Romania Rationale: Cyanogenic glycosides are plant metabolites which are found in a variety of edible plants (linseed, bitter apricot kernels, cassava roots, etc.). Their potential toxicity of cyanogenic glycosides arises from enzymatic degradation that produces hydrogen cyanide, ketone or aldehyde, which may result in acute cyanide poisoning. Methods: We report the case of a 34-years old female patient, with not significant medical hystory, who ingested a half of raw