Author: Vong, Yee-ping Yonny
Title: Risk factors influencing the frequency of influenza-like-illness in elderly nursing home residents
Degree: M.Sc.
Year: 2005
Subject: Hong Kong Polytechnic University -- Dissertations
Influenza -- Risk factors
Older people -- Nursing home care
Department: Department of Rehabilitation Sciences
Pages: xiv, 55 leaves : ill. ; 30 cm
Language: English
Abstract: Influenza-like-illness (ILI) was defined by the Centre for Disease Control and Prevention (CDC) as symptoms including fever, cough, sore throat or nasal congestion (Http://www.cdc.gov/flu/about/disease.htm). The objective of this study was to conduct a health surveillance on the incidence of possible signs and symptoms of ILI among elderly population (aged over 65) living in private old aged home (POAH); and to determine risk factors which can predict ILI in this population. This prospective, cohort and longitudinal study was conducted from April to September of year 2004 in 10 POAH in Tai Po and Sheung Shui District in Hong Kong. A totally of 168 subjects were recruited. Subjects with history of immunity-deficiency disease, cancer, acute myocardial ischemia, pulmonary embolism, respiratory aspiration, hospital admission at a month before the day of assessment or has any sign or symptom of ILI on the day of assessment were excluded. The baseline data collection including age, sex, height, weight, medical history, smoking history, vaccination status, lung function test and Elderly Mobility Score (EMS) performance. The frequency of signs and symptoms of ILI including fever, cough, sore throat, running nose or nose congestion, sputum production, vomiting, irritability, hoarseness, malaise, dyspnoea, wheeze, chest discomfort, coryza, myalgias, arthralgias, headaches, chills, rigors, anorexia, mental status alternation and any resident of same nursing home have ILI sign and symptom in the period from May to September 2004 were recorded. Risk factors for ILI were determined by univariate analysis, fitted into a backward stepwise logistic regression at P<0.05. At the end of the study, the incidence rate of ILI from May to September was found to be 10/123, that is, 81.30 ILI in 1000 person or 8.13%. Medical history of Cerebral vascular accidents (CVA) (Odds ratio=2.61; p=0.04, 95% CI= 1.05- 6.47) and renal disease (odds ratio=3.10; p=0.03, 95% CI=1.15- 8.36) and Vmax25% (odds ratio=0.31; p=0.01; 95% CI=0.13-0.74) were the 3 best explanatory variables. In conclusion, the presence of medical history of CVA or renal disease had a significant effect upon the likelihood of having ILI incidence while the higher the Vmax25% had a significant protective effect upon the likelihood of having ILI incidence in five-month-surveillance in this study. The possible explanation for result and clinical implication were discussed accordingly. The limitation of the study and suggestions for further study were also presented.
Rights: All rights reserved
Access: restricted access

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