Dataset Information

A Conceptual Matrix of the Temporal and Spatial Dimensions of Socioeconomic Status and Their Relationship with Health.

ABSTRACT:

Objectives

In this study, we (a) draw on fundamental cause theory, the life course perspective, and neighborhood effects to develop conceptual matrix of socioeconomic status (SES) by temporal and spatial dimensions in order to highlight the multidimensional ways in which SES relates to general health, and then (b) assess the multidimensional ways in which income (as a measure of SES) is related to disability in adulthood.

Methods

Data from the Panel Study of Income Dynamics were linked with Census data to assess (a) which temporal and spatial dimensions of income were associated with disability in adulthood, and (b) whether the various components of income interact with each other when predicting disability.

Results

Negative binomial regression results indicated both 1970 and 2013 household income were associated with lower levels of disabilities in adulthood, as was 2013 neighborhood-level income, but 1970 neighborhood-level income was not associated with disability in adulthood. Further, 4 of the 6 possible interactions between the multiple dimensions of income were associated with significant reductions in adult disability.

Discussion

These findings provide several important empirical insights, but also help inform a framework for thinking about the multidimensional ways in which SES relates to health.

SUBMITTER: Kail BL

PROVIDER: S-EPMC6294226 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature

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Publications

A Conceptual Matrix of the Temporal and Spatial Dimensions of Socioeconomic Status and Their Relationship with Health.

Kail Ben Lennox BL Spring Amy A Gayman Matt M

The journals of gerontology. Series B, Psychological sciences and social sciences 20190101 1

<h4>Objectives</h4>In this study, we (a) draw on fundamental cause theory, the life course perspective, and neighborhood effects to develop conceptual matrix of socioeconomic status (SES) by temporal and spatial dimensions in order to highlight the multidimensional ways in which SES relates to general health, and then (b) assess the multidimensional ways in which income (as a measure of SES) is related to disability in adulthood.<h4>Methods</h4>Data from the Panel Study of Income Dynamics were l ...[more]

PMID: 29514316

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Project description:The purpose of the study was to examine whether gender differences in summary health-related quality of life (HRQoL) are due to differences in specific dimensions of health, and whether they are explained by sociodemographic and socioeconomic (SES) variation.The National Health Measurement Study collected cross-sectional data on a national sample of 3648 black and white noninstitutionalized adults ages 35 to 89 years. Data included the Short Form 36-Item survey, which yielded separate Mental and Physical Component Summary scores (MCS and PCS, respectively), and five HRQoL indexes: Short Form 6 dimension, EuroQol 5 dimension, the Health Utilities Indexes Mark 2 and 3, and the Quality of Well-Being Scale Self-Administered form. Structural equation models were used to explore gender differences in physical, psychosocial, and pain latent dimensions of the 5 indexes, adjusting for sociodemographic and SES indicators. Observed MCS and PCS scores were examined in regression models to judge robustness of latent results.Men had better estimated physical and psychosocial health and less pain than women with similar trends on the MCS and PCS scores. Adjustments for marital status or income reduced gender differences more than did other indicators. Adjusting results for partial factorial invariance of HRQoL attributes supported the presence of gender differentials, but also indicated that these differences are impacted by dimensions being related to some HRQoL attributes differently by gender.Men have better estimated health on 3 latent dimensions of HRQoL-physical, psychosocial, and pain-comparable to gender differences on the observed MCS and PCS scores. Gender differences are partly explained by sociodemographic and SES factors, highlighting the role of socioeconomic inequalities in perpetuating gender differences in health outcomes across multiple domains. These results also emphasize the importance of accounting for measurement invariance for meaningful comparison of group differences in estimated means of self-reported measures of health.

Project description:BACKGROUND:To throw light on the under-researched association between socioeconomic position (SEP) and health in Cuba, this study examined SEP gradients in health and their underlying mechanisms among urban Cuban adults aged 18-65. METHODS:By applying linear regressions to data from the 2010 National Survey on Risk Factors and Chronic Diseases, the analysis explored the SEP-health gradient along three SEP dimensions - education, occupation, and skin colour - using ten health measures: self-reported health (SRH), general and abdominal obesity, hypertension, high glucose, high cholesterol, high triglycerides, low high-density lipoprotein cholesterol, metabolic syndrome, and cumulative risk factors. Regressions also included behaviours and health-related risk perceptions (tobacco and alcohol consumption, diet, physical activity, and risk-related behaviours). It thus investigated the SEP-health gradient and its underlying mechanisms via both behaviours and health-related risk perceptions. RESULTS:Once controlling for gender, age, marital status, region and provincial dummies, the analysis detected educational gradients in SRH (estimated coefficient [95% CI]: middle-level education?=?3.535 [1.329, 5.741], p?<?0.01; high-level education?=?5.249 [3.050, 7.448], p?<?0.01) that are partially explainable by both health-affecting behaviours (tobacco and alcohol consumption, diet, physical and sedentary activity) and risk perceptions. Using objective measures of health, however, it found no SEP-health gradients other than hypertension among people identified as having Black skin color (adjusted for demographic variables, 0.060 [0.018, 0.101], p?<?0.01) and high cholesterol among those identified as having Mulatto or Mestizo skin color (adjusted for demographic variables, -?0.066 [-?0.098, -?0.033], p?<?0.01). CONCLUSIONS:In terms of objective health measures, the study provides minimal evidence for an SEP-health gradient in Cuba, results primarily attributable to the country's universal healthcare system - which offers full coverage and access and affordable medications - and its highly developed education system.

Dataset Information

A Conceptual Matrix of the Temporal and Spatial Dimensions of Socioeconomic Status and Their Relationship with Health.

Objectives

Methods

Results

Discussion

Publications

A Conceptual Matrix of the Temporal and Spatial Dimensions of Socioeconomic Status and Their Relationship with Health.

Similar Datasets

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