2004
DOI: 10.1007/bf03327386
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Predictors of quality of life in older people living at home and in institutions

Abstract: The relative contribution of functional and medical comorbidities, as well as health-promoting behaviors to QOL, may be different in community-dwelling and institutionalized elders. Physical and cognitive function deficits, overweight/obesity, and lack of regular PA are among primary predictors of decreased QOL in home-dwelling elders. In institutionalized subjects, these functional/behavioral data seem to be of lesser importance, the role of concomitant diseases becoming dominant.

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Cited by 128 publications
(118 citation statements)
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“…19) for the year prior to the survey; (ii) ICD-9 codes for most prevalent conditions in veterans [11]: chronic obstructive pulmonary disease (COPD), diabetes, depression, hypertension and heart disease for the year prior to the survey; (iii) Demographics including race, employment status, age and gender; (iv) Health care resource utilization data for 1 yr after the survey were obtained: number of inpatient visits and number and type of outpatient visits-primary, surgical, specialty medicine or mental health care.…”
Section: Data Sourcesmentioning
confidence: 99%
See 1 more Smart Citation
“…19) for the year prior to the survey; (ii) ICD-9 codes for most prevalent conditions in veterans [11]: chronic obstructive pulmonary disease (COPD), diabetes, depression, hypertension and heart disease for the year prior to the survey; (iii) Demographics including race, employment status, age and gender; (iv) Health care resource utilization data for 1 yr after the survey were obtained: number of inpatient visits and number and type of outpatient visits-primary, surgical, specialty medicine or mental health care.…”
Section: Data Sourcesmentioning
confidence: 99%
“…Regression analyses were not performed individually in patients with ReA due to small numbers. Potential confounders for multivariate analyses for predicting health care utilization were chosen based on reports in other medical conditions [17][18][19]: (i) demographics: age (in years), gender (male/female), race (white vs other), education level (<8 grade, 8-11 grade, high school graduate or college and beyond), employment status (employed, unemployed, retired, unknown), marital status (married, not married); (ii) comorbidity: sum of comorbidities including asthma/COPD, depression, diabetes, hypertension or heart disease (comorbidity scale ranging from 0 to 5); (iii) current smoking status (smoker vs non smoker; and (iv) ADL limitations, categorized as 'no': 0 ADLs, 'moderate': 1-2 ADLs; or 'severe limitations': !3 ADLs; similar to previous studies [14,20]. All analyses were performed using SPSS version 11.0.1 (Chicago, IL, USA).…”
Section: Analysesmentioning
confidence: 99%
“…175,176 In home-dwelling elders, obesity was again one of the primary predictors of decreased quality of life. 177 …”
mentioning
confidence: 99%
“…The primary outcome measures are rates of accidental falls as a measure of the overall performance of the falls prevention program and health related quality of life as this is considered to be the key goal for health promotion in older people [18]. The EQ5D was chosen as the primary measure as it is a simple, easy to administer reliable and valid tool measuring five dimensions of health [19,20].…”
Section: Outcome Measuresmentioning
confidence: 99%