Social determinants of health in the setting of hypertrophic cardiomyopathy.

Social determinants of health play an important role in explaining poor health outcomes across many chronic disease states. The impact of the social gradient in the setting of an inherited heart disease, hypertrophic cardiomyopathy (HCM), has not been investigated. This study sought to profile the socioeconomic status of patients attending a specialized multidisciplinary clinic and to determine the impact on clinical factors, psychosocial wellbeing and adherence to medical advice.

Social determinants of health - why we continue to ignore them in the search for improved population health outcomes!

There is now unequivocal evidence that the health status of individuals and of whole communities is socially and economically determined, as are many other aspects of our lives. This suggests, as advocates of public health and population health approaches argue, that our efforts in managing our health and wellbeing should focus much more on early intervention and prevention programs than has been the case to date. However, although this ideology of social and economic determinism is generally accepted, practice does not reflect such values. Indeed, as increasing demand at the critical end of health service provision sees us spending more and more of our limited health care resources on acute and chronic illness, less resources are devoted to constructing and maintaining health-creating communities and environments. Paradoxically, while most of our leaders, academics and policy makers have themselves been nurtured in a sound understanding of cause and effect in the world, they are ignoring these fundamental premises in their approaches to the provision and management of health care. This paper explores some of the reasons why this might be the case and draws on key evidence to suggest that the time has come for us to think more ideologically in approaching health care in the future.

Social determinants of health - why treat without changing what makes people sick?

Social determinants of health (SDHs) are the 'social circumstances in which people are born, grow up, live, work and age, including the health system', that increase the likelihood of health inequities in society. SDHs can be social, economic, demographic or geographical in nature. Examples include social exclusion, occupational and environmental exposure to health risks, unemployment or job insecurity, low levels of education, adverse early childhood development, culturally inappropriate healthcare, and poverty.

Occupational and non-occupational physical activity and the social determinants of physical activity : results from the Health Survey for England

Background: This article aims to examine the relative contribution of occupational activity to English adults’ meeting of government recommendations for physical activity (PA).

Methods: Data were extracted from a cross-sectional survey of householders in the UK via the Health Survey for England.¹ In total, 14,018 adult participants were included in the analysis. Multivariate logistic regression was used to examine the odds of achieving PA recommendations with and without including occupational activity and to examine the contribution of gender and social and demographic characteristics.

Results: When occupational PA was included, 36% of men and 25% of women were active at the recommended level. Once occupational PA was removed, these proportions were 23% and 19%, respectively. These results were socially patterned, most notably by age and gender.

Conclusions: Occupational PA provides a substantial contribution to those meeting the government target for PA.

Determinants of health-related quality of life in people with Parkinson’s disease: a path analysis

Purpose:
To identify the demographic factors, impairments and activity limitations that contribute to health-related quality of life (HRQOL) in people with idiopathic Parkinson’s disease (PD).

Method:
Two hundred and ten individuals with idiopathic PD who participated in the baseline assessment of a randomized clinical trial were included. The Parkinson’s Disease Questionnaire-39 summary index was used to quantify HRQOL. In order to provide greater clarity regarding the determinants of HRQOL, path analysis was used to explore the relationships between the various predictors in relation to the functioning and disability framework of the International Classification of Functioning model.

Results:
The two models of HRQOL that were examined in this study had a reasonable fit with the data. Activity limitations were found to be the strongest predictor of HRQOL. Limitations in performing self-care activities contributed the most to HRQOL in Model 1 (β = 0.38; p < 0.05), while limitations in functional mobility had the largest contribution in Model 2 (β = −0.31; p < 0.0005). Self-reported history of falls was also found to have a significant and direct relationship with HRQOL in both models (Model 1 β = −0.11; p < 0.05; Model 2 β = −0.21; p < 0.05).

Conclusions:
Health-related quality of life in PD is associated with self-care limitations, mobility limitations, self-reported history of falls and disease duration. Understanding how these factors are inter-related may assist clinicians focus their assessments and develop strategies that aim to minimize the negative functional and social sequelae of this debilitating disease.

Addressing the social determinants of inequities in physical activity and sedentary behaviours

 Participation in both physical activity and sedentary behaviours follow a social gradient, such that those who are more advantaged are more likely to be regularly physically active, less likely to be sedentary, and less likely to experience the adverse health outcomes associated with inactive lifestyles than their less advantaged peers. The aim of this paper is to provide, in a format that will support policymakers and practitioners, an overview of the current evidence base and highlight promising approaches for promoting physical activity and reducing sedentary behaviours equitably at each level of ‘Fair Foundations: The VicHealth framework for health equity’. A rapid review was undertaken in February–April 2014. Electronic databases (Medline, PsychINFO, SportsDISCUS, CINAHL, Scopus, Web of Science, Cochrane Library, Global Health and Embase) were searched using a pre-defined search strategy and grey literature searches of websites of key relevant organizations were undertaken. The majority of included studies focussed on approaches targeting behaviour change at the individual level, with fewer focussing on daily living conditions or broader socioeconomic, political and cultural contexts. While many gaps in the evidence base remain, particularly in relation to reducing sedentary behaviour, promising approaches for promoting physical activity equitably across the three levels of the Fair Foundations framework include: community-wide approaches; support for local and state governments to develop policies and practices; neighbourhood designs (including parks) that are conducive to physical activity; investment in early childhood interventions; school programmes; peer- or group-based programmes; and targeted motivational, cognitive-behavioural, and/or mediated individual-level approaches.