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1.
J Nutr Health Aging ; 23(8): 746-752, 2019.
Artículo en Inglés | MEDLINE | ID: mdl-31560033

RESUMEN

OBJECTIVES: The olfactory decline that often accompanies aging is thought to contribute to undernutrition in older adults. It is believed to negatively affect eating pleasure, appetite, food intake and subsequently nutritional status. We have evaluated the associations of olfactory function with BMI, appetite and prospective weight change in a cohort of Dutch community-dwelling older adults. DESIGN: Cross-sectional cohort study. PARTICIPANTS: Dutch community-dwelling older adults from the ongoing Longitudinal Aging Study Amsterdam (LASA). Measurements and setting: In 2012-2013, the 40-item University of Pennsylvania Smell Identification Test (UPSIT) was administered to 824 LASA participants to evaluate their olfactory function. Body weight, height, appetite, comorbidity, cognitive status and socio-demographic factors were also assessed. Follow-up weight was measured after three years. RESULTS: 673 participants (aged 55-65 years) were included in the regression analyses. Median UPSIT-score was 33. When adjusted for potential confounders, lower UPSIT-score (indicative of poorer olfactory function) was not associated with poor appetite (OR = 1.062, p = 0.137) or prospective weight change (B = -0.027, p = 0.548). It was, however, associated with lower BMI in smokers (B = 0.178, p = 0.032), but not in non-smokers (B = -0.015, p = 0.732). CONCLUSION: Lower olfactory function scores were associated with lower BMI in community-dwelling older adults who smoke, but not with appetite or prospective weight change. Therefore, smoking older adults with olfactory impairments may pose as a vulnerable group with respect to developing undernutrition.


Asunto(s)
Apetito/fisiología , Índice de Masa Corporal , Peso Corporal/fisiología , Trastornos del Olfato/etiología , Anciano , Envejecimiento , Estudios de Cohortes , Estudios Transversales , Femenino , Humanos , Estudios Longitudinales , Masculino , Persona de Mediana Edad , Países Bajos , Estudios Prospectivos
2.
Eur J Intern Med ; 30: 18-24, 2016 May.
Artículo en Inglés | MEDLINE | ID: mdl-26775179

RESUMEN

IMPORTANCE: Unplanned readmissions within 30days are a common phenomenon in everyday practice and lead to increasing costs. Although many studies aiming to analyze the probable causes leading to unplanned readmissions have been performed, an in depth-study analyzing the human (healthcare worker)-, organizational-, technical-, disease- and patient-related causes leading to readmission is still missing. OBJECTIVE: The primary objective of this study was to identify human-, organizational-, technical-, disease- and patient-related causes which contribute to acute readmission within 30days after discharge using a Root-Cause Analysis Tool called PRISMA-medical. The secondary objective was to evaluate how many of these readmissions were deemed potentially preventable, and to assess which factors contributed to these preventable readmissions in comparison to non-preventable readmissions. DESIGN: Cross-sectional retrospective record study. SETTING: An academic medical center in Amsterdam, The Netherlands. PARTICIPANTS: Fifty patients aged 18years and older discharged from an internal medicine department and acutely readmitted within 30days after discharge. MAIN OUTCOME MEASURES: Root causes of preventable and unpreventable readmissions. RESULTS: Most root causes for readmission were disease-related (46%), followed by human (healthcare worker)- (33%) and patient- (15%) related root causes. Half of the readmissions studied were considered to be potentially preventable. Preventable readmissions predominantly had human-related (coordination) failures. CONCLUSION AND RELEVANCE: Our study suggests that improving human-related (coordinating) factors contributing to a readmission can potentially decrease the number of preventable readmissions.


Asunto(s)
Personal de Salud , Readmisión del Paciente/estadística & datos numéricos , Mejoramiento de la Calidad , Análisis de Causa Raíz , Centros Médicos Académicos , Adulto , Anciano , Anciano de 80 o más Años , Estudios Transversales , Femenino , Humanos , Masculino , Persona de Mediana Edad , Países Bajos , Alta del Paciente , Estudios Retrospectivos , Factores de Tiempo
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