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- Cuypers, Koenraad, et al.
(author)
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Patterns of receptive and creative cultural activities and their association with perceived health, anxiety, depression and satisfaction with life among adults : the HUNT study, Norway
- 2012
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In: Journal of Epidemiology and Community Health. - London : BMJ Publishing Group. - 0143-005X .- 1470-2738. ; 66:8, s. 698-703
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Journal article (peer-reviewed)abstract
- Background Cultural participation has been used both in governmental health policies and as medical therapy, based on the assumption that cultural activities will improve health. Previous population studies and a human intervention study have shown that religious, social and cultural activities predict increased survival rate. The aim of this study was to analyse the association between cultural activity and perceived health, anxiety, depression and satisfaction with life in both genders. Methods The study is based on the third population-based Nord-Trondelag Health Study (2006-2008), including 50 797 adult participants from Nord-Trondelag County, Norway. Data on cultural activities, both receptive and creative, perceived health, anxiety, depression and satisfaction with life were collected by comprehensive questionnaires. Results The logistic regression models, adjusted for relevant cofactors, show that participation in receptive and creative cultural activities was significantly associated with good health, good satisfaction with life, low anxiety and depression scores in both genders. Especially in men, attending receptive, rather than creative, cultural activities was more strongly associated with all health-related outcomes. Statistically significant associations between several single receptive, creative cultural activities and the health-related outcome variables were revealed. Conclusion This population-based study suggests gender-dependent associations between cultural participation and perceived health, anxiety, depression and satisfaction with life. The results support hypotheses on the effect of cultural activities in health promotion and healthcare, but further longitudinal and experimental studies are warranted to establish a reliable cause-effect relationship.
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| 2. |
- Ellekjaer, Hanne, et al.
(author)
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Identification of incident stroke in Norway : hospital discharge data compared with a population-based stroke register
- 1999
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In: Stroke. - 0039-2499 .- 1524-4628. ; 30:1, s. 56-60
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Journal article (peer-reviewed)abstract
- BACKGROUND AND PURPOSE: The validity of hospital discharge diagnoses is essential in improving stroke surveillance and estimating healthcare costs of stroke. The aim of this study was to assess sensitivity, positive predictive value, and accuracy of discharge diagnoses compared with a stroke register. METHODS: A record linkage was made between a population-based stroke register and the discharge records of the hospital serving the population of the stroke register (n=70 000). The stroke register (including patients aged 15 and older and with no upper age limit), applied here as a "gold standard," was used to estimate sensitivity, positive predictive value, and accuracy of the discharge diagnoses classification. The length of stay in hospital by stroke patients was measured. RESULTS: Identifying cerebrovascular diseases by hospital discharge diagnoses (International Classification of Diseases, 9th Revision [ICD-9], codes 430 to 438.9, first admission) lead to a substantial overestimation of stroke in the target population. Restricting the retrieval to acute stroke diagnoses (ICD-9 codes 430, 431, 434, and 436) gave an incidence estimate closer to the "true" incidence rate in the stroke register. Selecting ICD-9 codes 430 to 438 of cerebrovascular diseases gave the highest sensitivity (86%). The highest positive predictive value (68%) was achieved by selecting acute stroke diagnoses (ICD-9 codes 430, 431, 434, and 436), at the expense of a lower sensitivity (81%). Accuracy of ICD codes 430 to 438.9 (n=678) revealed the highest proportion of incident strokes identified by the acute stroke diagnoses (ICD-9 codes 430, 431, 434, and 436). Seventy-four percent of hospital discharge diagnoses classified as first-ever stroke kept the original diagnosis. Only 4.6% of the discharge diagnoses were classified as nonstroke diagnoses after validation. The estimation of length of stay in the hospital was improved by selection of acute stroke diagnoses from hospital discharge data (ICD-9 codes 430, 431, 434, and 436), which gave the same estimate of length of stay, a median of 8 days (2.5 percentile=0 and 97.5 percentile=56), compared with a median of 8 days (2.5 percentile=0 and 97.5 percentile=51) based on the stroke register. CONCLUSIONS: Hospital discharge data may overestimate stroke incidence and underestimate the length of stay in the hospital, unless selection routines of hospital discharge diagnoses are restricted to acute stroke diagnoses (ICD-9 codes 430, 431, 434, and 436). If supplemented by a validation procedure, including estimates of sensitivity, positive predictive value, and accuracy, hospital discharge data may provide valid information on hospital-based stroke incidence and lead to better allocation of health resources. Distinguishing subtypes of stroke from hospital discharge diagnoses should not be performed unless coding practices are improved.
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