Nutritional status in mexican elderlys: comparative study between groups with different social assistance
DOI:
https://doi.org/10.14306/renhyd.1.1.119Keywords:
Aged, Elderly, Malnutrition, Protein-Energy Malnutrition, Obesity, Nutritional Status, Anthropometry, MexicoAbstract
Introduction: The aim of this study were to determine the prevalence of undernutrition and obesity in older people with various types of social support from Sinaloa, México.
Material and methods: Comparative, observational, prospective and cross-sectional study in 91 elderly. Determined body weight, height and anthropometric measurements. Applied the Mini Nutritional Assessment (MNA). Means and standard deviations are estimated. Chi-square2 and Kruskal-Wallis tests were used to analyzed data. Pearson correlation were utilized for evaluated the correlation between antropomethric indicators and MNA. The level of statistical significance was p<0.05.
Results: 91 elderlies were evaluated: 35 users of a day House, 28 members of a cultural centre, and 28 residents of two nursing homes. There was a prevalence of malnutrition of 32.1% in the institutionalized, 14.3% on the day house, and 3.5% in independent adult. Obesity were diagnosed in 93.2% of people by Waist/Height Ratio. Good correlations were found between body mass index (BMI) and calf circumference (CC) with MNA (p<0.05).
Conclusions: High prevalences of undernutrition were found in nursing homes and user of day homes, with major risks in womans and people major of 80 years. The implementation of nutritional interventions depending on the type of social assistance received is required.
References
(1) Instituto Nacional de Estadística y Geografía. Estadísticas a propósito del día internacional de las personas de edad. Datos Nacionales. INEGI, México. 2013.
(2) Pelcastre-Villafuerte B, Treviño-Siller S, González-Vázquez T, Márquez-Serrano M. Social support and living conditions in poor elderly people in urban Mexico. Cad Saúde Pública. 2011; 27(3): 460-70.
(3) Instituto Nacional de las Personas Adultas Mayores. Modelos de Atención Gerontólogica. Gobierno Federal. INAPAM, México. 2013.
(4) World Health Organization. Keep fit for life. Meeting the nutritional needs of older persons. Washington D.C. 2004.
(5) Lopez-Contreras M, Torralba C, Zamora S, Perez-Llamas F. Nutrition and prevalence of undernutrition assessed by different diagnostic criteria in nursing homes for elderly people. J Hum Nutr Diet. 2012; 25(3): 239-46.
(6) Gutiérrez JP, Rivera-Dommarco J, Shamah-Levy T, Villalpando- Hernández S, Franco AA, Cuevas-Nasu L, et al. Encuesta Nacional de Salud y Nutrición. 2012. Resultados Nacionales. Cuernavaca, México. Instituto Nacional de Salud Pública 2012.
(7) Törmä J, Winblad U, Cederholm T, Saletti A. Does undernutrition still prevail among nursing home residents? Clin Nutr. 2013; 32(4); 562-8.
(8) Agarwal E, Miller M, Yaxley A, Isenring E. Malnutrition in the elderly: A narrative review. Maturitas. 2013; 76(4): 296-302.
(9) Donini LM, Neri B, De Chiara S, Poggiogalle E, Muscaritoli M. Nutritional care in a nursing home in Italy. PLOS One. 2013; 8(2): e55804.
(10) Neyens J, Halfens R, Spreeuwenberg M, Meijers K, Luiking Y, Verlaan G, et al. Malnutrition is associated with an increased risk of falls and impaired activity in elderly patients in Dutch residential long term care (LTC): A cross-sectional study. Arch Gerontol Geriatr. 2013; 56(1): 265-9.
(11) Charlton K, Batterham M, Bowden S, Ghosh A, Caldwell K, Barone L, et al. A high prevalence of malnutrition in acute geriatric patients predicts adverse clinical outcomes and mortality within 12 months. E-SPEN. 2013; 8(3): e120-5.
(12) Mazariegos M, Valdez C, Kraaij S, Setten C, Luirink C, Breuer K, et al. Comparative body composition estimates for institutionalized and free living elderly in metropolitan areas of the republic of Guatemala. Nutr Res. 1996; 16(3): 443-57.
(13) Pai M. Comparative study of nutritional status of elderly population living in the home for aged vs those living in the community. Biomedical Research. 2011; 22(1): 120-126.
(14) Rodriguez N, Herrera H, Luque M, Hernandez R, Hernandez Y. Anthropometric characterization of a group of not institutionalized and institutionalized elders. Antropo. 2004; 8: 57-71.
(15) Poulia K, Yannakoulia M, Karageorgou D, Gamaletsou M, Panagiotakos D, Sipsas N, et al. Evaluation of the efficacy of six nutritional screening tools to predict malnutrition in the elderly. Clin Nutr. 2012; 31(3): 378-85.
(16) Babiarczyk B, Tubiarz A. Body Mass Index in Elderly People - do the reference ranges matter? Prog Health Sci. 2012; 2(1): 58-67.
(17) Bahat G, Tufan F, Saka B, Akin S, Ozkaya H, Yucel N, et al. Wich Body Mass Index (BMI) is better in the elderly for functional status? Arch Gerontol Geriatr. 2012; 54(1): 78-81.
(18) Tsai A, Lai MC, Chang TL. Mid-Arm and calf circumferences (MAC and CC) are better than body mass index (BMI) in predicting health status and mortality risk in institutionalized elderly Taiwanese. Arch Gerontol Geriatr. 2012; 54(3): 443-7.
(19) Landi F, Onder G, Russo A, Liperoti R, Tosato M, Martone AM, et al. Calf Circumference, frailty and physical performance among older adults living in the community. Clin Nutr. 2013; 33(3): 539-44.
(20) Enoki H, Kuzuya M, Masuda H, Hirakawa Y, Iwata M, Hasegawa J, et al. Anthropometric measurements of mid-upper arm as a mortality predictor for community dwelling Japanese elderly: The Nagoya Longitudinal Study of Frail Elderly (NLS-FE). Clin Nutr. 2007; 26(5): 597-604.
(21) Landi F, Russo A, Liperoti R, Pahor M, Tosato M, Capoluongo E, et al. Midarm muscle circumference, physical performance and mortality: Results from the aging and longevity study in the Sirente geographig (ilSIRENTE study). Clin Nutr. 2010; 29(4): 441-7.
(22) Guasch-Ferré M, Bulló M, Martínez-Gonzalez MA, Corella D, Estruch R, Covas MI, et al. Waist-to-Height Ratio and Cardiovascular Risk Factors in Elderly Individuals at High Cardiovascular Risk. Plos ONE. 2012; 7(8): e43275.
(23) Guigoz Y, Vellas BJ. Malnutrition in the Elderly: The Mini Nutritional Assessment (MNA). Ther Umsch 1997; 54(6): 345- 350.
(24) Center of Disease Control. Healthy Weight: Healthy Weight: Assessing Your Weight: BMI: About Adult BMI. 2014. [monografía en internet] [consultado 2014 julio 15]. Disponible en: http://www.cdc.gov/healthyweight/assessing/bmi/adult_BMI/index.html/.
(25) Frisancho A. Methods and Materials. En: Frisancho A. Anthropometric Standards for the Assessment of Grow and Nutritional Status. EUA: The University of Michigan; 1990.
(26) Jayawardana R. Waist to height ratio: a better anthropometric marker of diabetes and cardio-metabolic risk in South Asian adults. Diabetes Res Clin Pract. 2013; 99(3): 292-9.
(27) Committee on Diet and Health. Diet and health: implications for reducing chronic disease risk. [monografía en internet]. Washington, DC: National Academy Press, 1989. [consultado 2014 julio 15]. Disponible en: http://www.nap.edu/openbook.php?isbn=0309039940/.
(28) Chumlea W, Steinbaugh M, Roche A, Mukherjee D, Gopalaswamy N. Nutritional anthropometric assessment in elderly persons 65 to 90 years of age. J Nutr Elderly.1985; 4(4): 39-51.
(29) Menezes TN, Marucci MF. Antropometria de idosos residentes em instituições geriátricas, Fortaleza, Ceará. Rev Saude Pública. 2005; 39(2): 169-75.
(30) Méndez-Estevez E, Romero-Pita J, Fernández-Domínguez MF, Troitiño-Álvarez P, García-Dopazo S, Jardón-Blanco M, et al. ¿Tienen nuestros ancianos un adecuado estado nutricional? ¿Influye su institucionalización? Nutr Hosp. 2013; 28(3): 903-13.
(31) Aliabadi M, Kimiagar M, Ghayour-Mobarhan M, Taghi-Shakeri M, Nematy M, Akbar-Ilaty A, et al. Prevalence of Malnutrition in Free living elderly people in Iran: a cross-sectional study. Asian Pac J Clin Nutr. 2008; 17(2): 285-9.
(32) Nouri-Saeidlou S, Kutlay-Merdol T, Mikaili P, Bektas Y. Assessment of the nutritional status and affecting factors of elderly people living at six nursing home in Urmia, Iran. Int J Acad Res. 2011; 3(1): 173-81.
(33) Sánchez-García S, García-Pena C, Duque-López MX, Juárez-Cedillo T, Cortés-Nuñez AR, Reyes-Beaman S. Anthropometric measures and nutritional status in a healthy elderly population. BMC Public Health. 2007; 7: 2.
(34) Lim S, Hee-Kim J, Won-Yoon J, Mee-Kang S, Hee-Choi S, Joo- Park Y, et al. Optimal cut points of waist circumference (WC) and visceral fat area (VFA) predicting for metabolic syndrome (MetS) in elderly population in the Korean Longitudinal Study on Health and Aging (KLoSHA). Arch Gerontol Geriatr. 2012; 54: e29-34.
(35) Han T, BChir M. Obesity and weight management in the elderly: A focus on men. Best Pract Res Clin Endocrinol Metab. 2013; 27(4): 509-25.