SRH and HrQOL: does social position impact differently on their link with health status?

Delpierre, Cyrille; Kelly-Irving, Michelle; Munch-Petersen, Mette; Lauwers‐Cancès, Valérie; Datta, Geetanjali D.; Lepage, Benoît; Lang, Thierry

doi:10.1186/1471-2458-12-19

Cited by 39 publications

(49 citation statements)

References 49 publications

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“…Our findings also showed a link between self-rated health and tooth loss. This result is in accordance with the literature, since self-rated health appears to be a good proxy of overall health, is socially patterned and is linked, for instance to mortality risk (45).…”

Section: Discussionsupporting

confidence: 82%

The Role of Socioeconomic Position in Determining Tooth Loss in Elderly Costa Rican: Findings from the CRELES Cohort

Solís

Fantin

2017

Odovtos - Int J Dent Sc

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El rol de la posición socioeconómica en la determinación de la pérdida de piezas dentales en personas adultas mayores costarricenses: Hallazgos de la cohorte de CRELES ABSTRACT Objective: Differences in health status between socioeconomic groups continue to challenge epidemiological research. To evaluate health inequalities in tooth loss, using indicators of socioeconomic position (education level, occupation and subjective economic situation), in a large representative sample of elderly Costa Ricans, can contribute to conceive better adapted public health interventions. Methods: Data are from the Costa Rican Longevity and Healthy Aging Study (CRELES Pre-1945), a longitudinal study of a nationally representative sample of elders. 2827 participants were included in the study using data from the first wave conducted in 2005, and analyzed cross-sectionally. The sample was imputed for missing data using a multiple imputation model. Tooth loss was self-reported and informed about the quantity of missing teeth. Information on participant's socioeconomic factors was collected via a questionnaire, including three measures approaching socioeconomic position: education level, occupation and subjective economic situation. Additional variables were included in the multivariate analyses as potential confounders. Results: Tooth loss was found to be strongly socially patterned, using variables characterizing socioeconomic position, mainly education level, occupational status and subjective economic situation. Conclusions: To highlight how socioeconomic position relates to tooth loss, can allow a better understanding of the origins of the social gradient in oral health, to tackle the most common chronic diseases across the world. RESUMENObjetivo: Las diferencias en el estado de salud entre los grupos socioeconómicos continúan desafiando la investigación epidemiológica. El objetivo de este estudio es evaluar las inequidades sociales en salud con respecto a la pérdida de piezas dentales, utilizando distintos indicadores de la posición socioeconómica (nivel de educación, ocupación y situación económica subjetiva). Se utilizó un amplio estudio representativo de la población de adultos mayores costarricenses. Este trabajo podría contribuir a concebir intervenciones en salud pública más adaptadas para el país. Métodos: Los datos provienen del Estudio de Longevidad y Envejecimiento Saludable de Costa Rica (CRELES Pre-1945), un estudio longitudinal representativo de la población de personas adultas mayores. La muestra, analizada transversalmente, incluyó 2827 participantes usando datos de la primera ronda realizada en 2005. La muestra fue imputada para tomar en cuenta los datos faltantes usando un modelo de imputación múltiple. La pérdida de piezas dentales fue declarada como la cantidad de dientes perdidos en el momento de la entrevista. La información sobre los factores socioeconómicos de los participantes se recopiló a través de un cuestionario, incluyendo tres medidas que aproximaban la posición socioeconómica: nivel educativo, oc...

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Section: Discussionsupporting

confidence: 82%

The Role of Socioeconomic Position in Determining Tooth Loss in Elderly Costa Rican: Findings from the CRELES Cohort

Solís

Fantin

2017

Odovtos - Int J Dent Sc

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“…Some studies suggest that the use of HRQoL or SRH may lead to improperly estimating the true magnitude of health inequalities between socioeconomic groups 32. Lang et al 2 indicate that perceived health varies with culture and time and a decrease in perceived health does not necessarily reflect a decrease in health status; it may also reflect an increase in health expectations.…”

Section: Discussionmentioning

confidence: 99%

Contrasted trends in health-related quality of life across gender, age categories and work status in France, 1995–2016: repeated population-based cross-sectional surveys using the SF-36

Clause-Verdreau

Audureau

Leplège

et al. 2018

J Epidemiol Community Health

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BackgroundInterest in monitoring health-related quality of life (HRQoL) in general populations has increased in the past 20 years, reinforced by population ageing and repeated economic crises. This study aims to identify temporal trends in HRQoL in France between 1995 and 2016 and to assess disparities according to demographic and socioeconomic characteristics.MethodsData from repeated population-based cross-sectional surveys conducted in 1995, 2003 and 2016 were used. HRQoL was measured using the Medical Outcomes Study 36-item Short Form (SF-36) questionnaire.ResultsA substantial decrease in score was observed between 1995 and 2016 for both genders in almost all subscales of the SF-36, with the largest decrease being in the mental health dimension for men. However, the age group 18–54 years were the most affected with persistent negative or even worsening trends in HRQoL. The largest decreases were among men aged 45–54 years and women aged 35–44 years in most dimensions, and among the age group 18–24 years in vitality. Conversely, an overall improvement was noted among the age group 65–84 years. People in employment were more affected than the unemployed by the decline in several HRQoL dimensions.ConclusionA general decline in HRQoL was found between 1995 and 2016 in the French population, but with wide disparities in trends between age groups. Young and especially middle-aged, employed people exhibited persistent negative and worsening trends. Consistent with evidence from traditional mental health morbidity and mortality indicators, our findings raise questions about the potential influence of macro-socioeconomic factors, especially the 2008 crisis; these observations deserve special attention from health policy-makers.

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“…Therefore, self-assessment techniques, such as Self-Rated Health (SRH) and HRQoL, have been developed as a cheaper means of measuring health disparities [35]. SRH is an indicator of general health status, and frequently consists of only one Likert-based question [36-38].…”

Section: Introductionmentioning

confidence: 99%

Use of different subjective health indicators to assess health inequalities in an urban immigrant population in north-western Italy: a cross-sectional study

et al. 2013

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BackgroundDespite the steady growth of the immigrant population in Italy, data on the health status of immigrants are scarce. Our main goals were to measure Health-Related Quality of Life (HRQoL), Self-Rated Health (SRH) and morbidity among immigrants in Genoa. We aimed to assess the relative contribution of some social, structural and behavioral determinants to “within-group” health disparities.MethodsWe enrolled 502 subjects by means of snowball sampling. The SF-12 questionnaire, integrated with socio-demographic and health-related items, was used. Multivariate logistic and Poisson regression models were applied in order to identify characteristics associated with poor SRH, lower SF-12 scores and prevalence of self-reported morbidities.ResultsSubjects showed relatively moderate levels of HRQoL (median physical and mental scores of 51.6 and 47.3, respectively) and about 15% of them rated their health as fair or poor. Lower scores in the physical dimension of HRQoL were associated with the presence of morbidities and immigration for work and religious reasons, while those who had migrated for religious and family reasons displayed a lower probability of lower scores in the mental dimension of HRQoL. Poor SRH was associated with female gender, overweight/obesity and presence of morbidities. Moreover, compared with immigrants from countries with a low human development index, immigrants from highly developed societies showed significantly lower odds of reporting poor SRH. About one-third of respondents reported at least one medical condition, while the prevalence of multi-morbidity was 10%. Females, over 45-year-olds, overweight and long-term immigrants had a higher prevalence of medical conditions.ConclusionsOur study confirms the presence of health inequalities within a heterogeneous immigrant population. HRQoL, SRH and morbidity are valid, relatively rapid and cheap tools for measuring health inequalities, though they do so in different ways. These indicators should be used with caution and, if possible, simultaneously, as they could help to identify and to monitor more vulnerable subjects among immigrants.

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SRH and HrQOL: does social position impact differently on their link with health status?

Cited by 39 publications

References 49 publications

The Role of Socioeconomic Position in Determining Tooth Loss in Elderly Costa Rican: Findings from the CRELES Cohort

The Role of Socioeconomic Position in Determining Tooth Loss in Elderly Costa Rican: Findings from the CRELES Cohort

Contrasted trends in health-related quality of life across gender, age categories and work status in France, 1995–2016: repeated population-based cross-sectional surveys using the SF-36

Use of different subjective health indicators to assess health inequalities in an urban immigrant population in north-western Italy: a cross-sectional study

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