The Determinants of Excellent Health: Different from the Determinants of III-Health?

Jp, Mackenbach; Bos, Johannes; Joung, Inez M.A.; Mheen, H. van de; Stronks, Karien

doi:10.1093/ije/23.6.1273

Cited by 119 publications

(83 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This concurs with studies that found that it is better to use the continuous nature of self-evaluated health status than the dichotomized variable [31][32][33] as in the dichotomization process some of the original information will be lost. The current research showed that 16% of the original information is lost owing to the dichotomization process.…”

supporting

confidence: 88%

The quality of sample surveys in a developing nation

Bourne¹

2010

RRTM

View full text Add to dashboard Cite

Background:In Jamaica, population census began in 1844, and many intercensal ratios obtained from the census data showed that there is a general high degree of accuracy of the data. However, statistics from the Jamaican Ministry of Health showed that there are inaccuracies in health data collected from males using sample surveys. Objectives: The objectives of the present research are to 1) investigate the accuracy of a national sample survey, 2) explore the feasibility and quality of using a subnational sample survey to represent a national survey, 3) aid other scholars in understanding the probability of using national sample surveys and subnational sample surveys, 4) assess older men's evaluation of their health status, and 5) determine whether dichotomization changes selfevaluated health status. Methods: For the current study, the data used in the analysis were originally collected from 2 different sources: 1) the Jamaica Survey of Living Conditions (JSLC) and 2) Survey of Older Men (SOM). Cross validation of self-evaluated data of men in Jamaica was done with comparable samples of the complete JSLC data and the SOM data, where men older than 55 years were selected from each sample. Results: In study 1, 50.2% of respondents indicated at least good self-evaluated health status compared with 74.0% in study 2. Statistical associations were found between health status and survey sample (χ 2 [df = 5] = 380.34, P , 0.001), self-reported illness and study sample (χ 2 [df = 1] = 65.84, P , 0.01, φ = 0.16), and health care -seeking behavior and study samples (χ 2 [df = 1] = 21.83, P , 0.05, φ = 0.10). Substantially more respondents reported an illness in study 1 (34.3%) than in study 2 (ie, 17.5%). Conclusion: Clearly, inconsistencies exist in the health data, which indicates that care should be taken in using sample surveys.

show abstract

supporting

confidence: 88%

The quality of sample surveys in a developing nation

Bourne¹

2010

RRTM

View full text Add to dashboard Cite

show abstract

“…It is now a consistent finding that educational status is a strong predictor of self-rated health (Mackenbach et al, 1994;Heistaro et al, 1996;Kawachi et al, 1999;Bobak et al, 2000). Educational status is age related in Ireland, presumably because free second level education became universally available after 1968 and has been identified by social commentators as one of the key factors in the country's more recent economic success.…”

Section: Article In Pressmentioning

confidence: 98%

“…Self-rated health is a useful proxy measure for morbidity and mortality patterns in epidemiological studies (Subramanian, Kawachi, & Kennedy, 2001;Kawachi, Kennedy, & Glass, 1999;Mackenbach, Vandenbos, Joung, Vandemheen, & Stronks, 1994;Idler & Beyamini, 1997;Heistaro, Vartiainen, & Puska, 1996;Power, Matthews, & Manor, 1998;Blakeley, Kennedy, & Kawachi, 2001). The inter-relationship between selfrated health and indicators of deprivation may differ according to gender and socio-economic status, both within and between countries (Bartley, Sacker, Firth, & Fitzpatrick, 1999;Matthews, Manor, & Power, 1999;Hraba, Lorenz, Lee, & Pechacova, 1996).…”

Section: Introductionmentioning

confidence: 99%

Socio-demographic predictors of self-rated health in the Republic of Ireland: findings from the National Survey on Lifestyle, Attitudes and Nutrition, SLAN

Kelleher

Friel

Gabhainn

et al. 2003

Social Science & Medicine

View full text Add to dashboard Cite

Though Ireland continues to have a poor health profile compared with other European Union countries, previous research on social variations has been limited. For the first time in the Republic of Ireland, the influence on self-rated health of various socio-demographic indicators was assessed in a multi-variate logistic regression model, separately for men and women. Data were from the first National Survey of Lifestyles, Attitudes and Nutrition, SLAN, conducted by post in a multi-stage, cluster random sample across 26 counties. There were 6539 respondents (45.4% males). Mean selfrated health differed significantly according to age, marital status, tenure, educational status, social class, household size and eligibility for general medical services (GMS), but not according to gender or rurality. There were also differences if residing in a district with low level of affluence, or according to social cluster groupings. There were numerous significant correlations between the nine socio-demographic measures, but the most consistent pattern was between GMS eligibility and the various indicators, for both men and women. In the case of men, whether social class was included in the multi-variate model or not, education status remained predictive in the final model, (OR 2.36 CI 1.35-4.12) as did smoking status (OR 2.11 CI 1.47-3.02). Odds ratio for GMS eligibility was 3.33 (CI 2.61-4.26) attenuated to 1.70 (CI 1.12-2.56) in the final model. For women the pattern was somewhat different. Only GMS status (OR 2.64 CI 1.74-3.99) and level of education (2.25 CI 1.19-4.24) were predictive in the final model. A multi-level analysis showed that area level of affluence was not significantly predictive of self-rated health when individual level factors were taken into account. r

show abstract

“…Apesar de seu caráter subjetivo, a auto-avaliação do estado de saúde é freqüentemente utilizada em inquéritos populacionais e tem especial relevância na explicação do uso de serviços de saúde. A proporção de pessoas que define seu estado de saúde como regular ou ruim é um poderoso preditor do uso de serviços de saúde e já foi associado com a mortalidade em estudos longitudinais (Mackenbach et al, 1994).…”

Section: Introductionunclassified

Gênero, morbidade, acesso e utilização de serviços de saúde no Brasil

Pinheiro

Viacava²,

Travassos³

et al. 2002

Ciênc. saúde coletiva

444

128

View full text Add to dashboard Cite

O objetivo deste trabalho é analisar o perfil de morbidade referida, acesso e uso de serviços de saúde em homens e mulheres no Brasil, segundo idade e região urbana e rural. Os dados da PNAD/98 mostram que as diferenças de gênero na morbidade variam com a idade: desfavoráveis aos meninos até os 10 anos e desfavoráveis às mulheres a partir dos 15 anos, aumentando até os 64 anos e reduzindo após esta idade. A alta prevalência de atendimento indica que as barreiras de acesso dos que procuram serviços de saúde são pequenas. No entanto, o elevado percentual de não procura face às necessidades percebidas sugere que as barreiras de acesso são anteriores e dependem da oferta. A cobertura por planos de saúde é bem maior na região urbana, mas não há diferenças de gênero significantes nas regiões. As diferenças entre homens e mulheres nas taxas de uso curativo são pequenas, se comparadas com as de uso preventivo, maiores para as mulheres, assim como as taxas de internação, mesmo excluindo os partos. O financiamento das internações não foi diferente entre homens e mulheres, ao contrário do financiamento de outros tipos de atendimento: maior cobertura por planos para mulheres na região urbana; na região rural, maior uso do SUS para as mulheres e maior desembolso de recursos próprios para os homens.

show abstract

The Determinants of Excellent Health: Different from the Determinants of III-Health?

Cited by 119 publications

References 0 publications

The quality of sample surveys in a developing nation

The quality of sample surveys in a developing nation

Socio-demographic predictors of self-rated health in the Republic of Ireland: findings from the National Survey on Lifestyle, Attitudes and Nutrition, SLAN

Gênero, morbidade, acesso e utilização de serviços de saúde no Brasil

Contact Info

Product

Resources

About