Health care utilization among elderly according to body mass index and risk of malnutrition
Masterstudie, hvor hensikten var å undersøke sammenhengen mellom bruk av helsetjenester og underernæring blant eldre kvinner og menn (≥65 years). Data er hentet fra Tromsø-studien. Background: malnutrition is prevalent among elderly, and this trend is projected to continue due increased life expecta...
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ftsfomsorgsforsk:oai:omsorgsforskning.brage.unit.no:11250/2445070 2024-03-03T08:49:10+00:00 Health care utilization among elderly according to body mass index and risk of malnutrition Goos, Noeline Wouleghela 2013 application/pdf http://hdl.handle.net/11250/2445070 eng eng http://hdl.handle.net/10037/7634 Goos, N. (2013) Health Care Utilization among Elderly According to Body Mass Index and Risk of Malnutrition. Mastergradsoppgave i folkehelsevitenskap. Universitetet i Tromsø (UiT); Norges arktiske universitet, Det helsevitenskapelige fakultet, Institutt for samfunnsmedisin. Hentet fra: http://hdl.handle.net/10037/7634 http://hdl.handle.net/11250/2445070 Noeline Wouleghela Goos pasientsikkerhet sikkerhet helsevesen risiko pasienter eldre aldring kosthold mat ernæring underernæring body mass index kroppsmasseindeks BMI KMI MUST Malnutrition Universal Screening Tool forebygging screening ernæringsvurdering ernæringsstatus tverrsnitt tverrsnittstudie Tromsø Norge Master thesis 2013 ftsfomsorgsforsk 2024-02-02T11:37:23Z Masterstudie, hvor hensikten var å undersøke sammenhengen mellom bruk av helsetjenester og underernæring blant eldre kvinner og menn (≥65 years). Data er hentet fra Tromsø-studien. Background: malnutrition is prevalent among elderly, and this trend is projected to continue due increased life expectancy and more so, malnutrition has been attributed to morbidity and mortality. Further, investigations reveal that malnutrition is associated with prolonged hospital stay, use of emergency services and long term care services. The association between health care utilization and malnutrition will be explored in this study. Method: the study material was collected from the Tromsø 6 cross-sectional study. The study population is comprised of 4017 elderly women (53.5%) and men (46.5 %) aged ≥65 years. The assessment of malnutrition was effectuated by using the body mass index (BMI) and the Malnutrition Universal Screening Tool (MUST). The BMI was classified in to six categories, while the MUST derived three MUST score categories 0, 1, and 2+. The score 1 and 2+ indicated medium and high risk respectively. While taking into consideration some socio-economic and demographic variables, the exploration of the association between health care utilization (visit to GP or medical specialist last year or surgery the last three years) and nutritional assessment variables was accomplished using cross tabulation, analysis of variance (ANOVA) and logistic regression. Results: the respondents in the higher BMI categories were most likely to visit the GP, but no relationships were found between BMI and use of medical specialist or surgery during the last three years. Inconsistent associations were seen regarding risk of malnutrition and GP consultations, but there were indications that increased risk of malnutrition was associated with higher odds of surgery during the last three years and visit to the medical specialist last year. Discussion: the results suggest that BMI and MUST score is related to selected indicators of health care ... Master Thesis Tromsø Senter for omsorgsforskning: Omsorgsbiblioteket Tromsø |
institution |
Open Polar |
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Senter for omsorgsforskning: Omsorgsbiblioteket |
op_collection_id |
ftsfomsorgsforsk |
language |
English |
topic |
pasientsikkerhet sikkerhet helsevesen risiko pasienter eldre aldring kosthold mat ernæring underernæring body mass index kroppsmasseindeks BMI KMI MUST Malnutrition Universal Screening Tool forebygging screening ernæringsvurdering ernæringsstatus tverrsnitt tverrsnittstudie Tromsø Norge |
spellingShingle |
pasientsikkerhet sikkerhet helsevesen risiko pasienter eldre aldring kosthold mat ernæring underernæring body mass index kroppsmasseindeks BMI KMI MUST Malnutrition Universal Screening Tool forebygging screening ernæringsvurdering ernæringsstatus tverrsnitt tverrsnittstudie Tromsø Norge Goos, Noeline Wouleghela Health care utilization among elderly according to body mass index and risk of malnutrition |
topic_facet |
pasientsikkerhet sikkerhet helsevesen risiko pasienter eldre aldring kosthold mat ernæring underernæring body mass index kroppsmasseindeks BMI KMI MUST Malnutrition Universal Screening Tool forebygging screening ernæringsvurdering ernæringsstatus tverrsnitt tverrsnittstudie Tromsø Norge |
description |
Masterstudie, hvor hensikten var å undersøke sammenhengen mellom bruk av helsetjenester og underernæring blant eldre kvinner og menn (≥65 years). Data er hentet fra Tromsø-studien. Background: malnutrition is prevalent among elderly, and this trend is projected to continue due increased life expectancy and more so, malnutrition has been attributed to morbidity and mortality. Further, investigations reveal that malnutrition is associated with prolonged hospital stay, use of emergency services and long term care services. The association between health care utilization and malnutrition will be explored in this study. Method: the study material was collected from the Tromsø 6 cross-sectional study. The study population is comprised of 4017 elderly women (53.5%) and men (46.5 %) aged ≥65 years. The assessment of malnutrition was effectuated by using the body mass index (BMI) and the Malnutrition Universal Screening Tool (MUST). The BMI was classified in to six categories, while the MUST derived three MUST score categories 0, 1, and 2+. The score 1 and 2+ indicated medium and high risk respectively. While taking into consideration some socio-economic and demographic variables, the exploration of the association between health care utilization (visit to GP or medical specialist last year or surgery the last three years) and nutritional assessment variables was accomplished using cross tabulation, analysis of variance (ANOVA) and logistic regression. Results: the respondents in the higher BMI categories were most likely to visit the GP, but no relationships were found between BMI and use of medical specialist or surgery during the last three years. Inconsistent associations were seen regarding risk of malnutrition and GP consultations, but there were indications that increased risk of malnutrition was associated with higher odds of surgery during the last three years and visit to the medical specialist last year. Discussion: the results suggest that BMI and MUST score is related to selected indicators of health care ... |
format |
Master Thesis |
author |
Goos, Noeline Wouleghela |
author_facet |
Goos, Noeline Wouleghela |
author_sort |
Goos, Noeline Wouleghela |
title |
Health care utilization among elderly according to body mass index and risk of malnutrition |
title_short |
Health care utilization among elderly according to body mass index and risk of malnutrition |
title_full |
Health care utilization among elderly according to body mass index and risk of malnutrition |
title_fullStr |
Health care utilization among elderly according to body mass index and risk of malnutrition |
title_full_unstemmed |
Health care utilization among elderly according to body mass index and risk of malnutrition |
title_sort |
health care utilization among elderly according to body mass index and risk of malnutrition |
publishDate |
2013 |
url |
http://hdl.handle.net/11250/2445070 |
geographic |
Tromsø |
geographic_facet |
Tromsø |
genre |
Tromsø |
genre_facet |
Tromsø |
op_relation |
http://hdl.handle.net/10037/7634 Goos, N. (2013) Health Care Utilization among Elderly According to Body Mass Index and Risk of Malnutrition. Mastergradsoppgave i folkehelsevitenskap. Universitetet i Tromsø (UiT); Norges arktiske universitet, Det helsevitenskapelige fakultet, Institutt for samfunnsmedisin. Hentet fra: http://hdl.handle.net/10037/7634 http://hdl.handle.net/11250/2445070 |
op_rights |
Noeline Wouleghela Goos |
_version_ |
1792506342687113216 |