Primary health care and the social determinants of health: essential and complementary approaches for reducing inequities in health

Rasanathan, Kumanan; Montesinos, Eugenio Villar; Matheson, Don; Etienne, Carissa F.; Evans, Tim

doi:10.1136/jech.2009.093914

Cited by 87 publications

(73 citation statements)

References 23 publications

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“…The studies included employees aged 33-55 years, 71% of whom were men. This is in somewhat contrast to the population based study by Mavaddat et al where functional ability had the strongest association [3]. Our use of ordinal regression analyses does not allow for an analysis of variances and the aim is not to determine what factors are the most influential.…”

Section: Discussionmentioning

confidence: 77%

What does age-comparative self-rated health measure? A cross-sectional study from the Northern Sweden MONICA Project

Waller

Janlert

Hamberg

et al. 2015

Scand J Public Health

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Aims: Self-rated health comprehensively accounts for many health domains. Using self-ratings and a knowledge of associations with health domains might help personnel in the health care sector to understand reports of ill health. The aim of this paper was to investigate associations between age-comparative self-rated health and disease, risk factors, emotions and psychosocial factors in a general population. Methods: We based our study on population-based cross-sectional surveys performed in 1999, 2004 and 2009 in northern Sweden. Participants were 25-74 years of age and 5314 of the 7500 people invited completed the survey. Comparative self-rated health was measured on a three-grade ordinal scale by the question 'How would you assess your general health condition compared to persons of your own age?' with the alternatives 'better', 'worse' or 'similar'. The independent variables were sex, age, blood pressure, cholesterol, body mass index, self-reported myocardial infarction, stroke, diabetes, physical activity, smoking, risk of unemployment, satisfaction with economic situation, anxiety and depressive emotions, education and Karasek scale of working conditions. Odds ratios using ordinal regression were calculated. Results: age, sex, stroke, myocardial infarction, diabetes, body mass index, physical activity, economic satisfaction, anxiety and depressive emotions were associated with comparative self-rated health. The risk of unemployment, a tense work situation and educational level were also associated with comparative self-rated health, although they were considerably weaker when adjusted for the the other variables. anxiety, depressive emotions, low economic satisfaction and a tense work situation were common in the population. Conclusions: Emotions and economic satisfaction were associated with comparative self-rated health as well as some medical variables. Utilization of the knowledge of these associations in health care should be further investigated.

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Section: Discussionmentioning

confidence: 77%

What does age-comparative self-rated health measure? A cross-sectional study from the Northern Sweden MONICA Project

Waller

Janlert

Hamberg

et al. 2015

Scand J Public Health

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“…[44][45][46][47] This study suggests that future high-cost healthcare use is strongly associated with multiple dimensions of SES, including income, education, homeownership, food security, and neighborhood marginalization. The root causes of high-cost and frequent healthcare use are entrenched in SES and are often overlooked in health services research.…”

Section: Discussionmentioning

confidence: 99%

Looking Beyond Income and Education

Fitzpatrick¹,

Rosella²,

Calzavara³

et al. 2015

American Journal of Preventive Medicine

152

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“…A best clinical practice for engaging with youth, particularly minority and underserved athletes, involves assessing social determinants of health that affect their well-being, academic success, athletic performance and, ultimately, health disparities across the lifespan (Rasanathan, Montesinos, Matheson, Etienne, & Evans, 2011;Viner et al, 2012). This can be done simply by asking athletes about their lives as they receive sports medicine services.…”

Section: Adolescent and Young Adult Developmentmentioning

confidence: 99%

The Holistic Athletic Healthcare Model: Addressing the Developmental, Social, and Cultural Needs of Collegiate Athletes

Barkley

Taliaferro

Baker

et al. 2018

JHEAI

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Many adolescent and young adult athletes only access the healthcare system through involvement in sports. Yet, many opportunities are missed in the sports medicine environment to provide holistic, quality care for these athletes that assist them in navigating toward healthy adulthood and that also address inequities that impair good health. Since most causes of morbidity and mortality in this age group are related to poor health behaviors, and comprehensive health care services are fragmented, it is imperative that sports medicine healthcare be reimagined to incorporate a social-ecological perspective that holistically addresses the unique medical, social, cultural, and behavioral needs of athletes. We propose a socialecological perspective that enhances developmental assets as the basis for sports medicine services. This innovative approach -the Holistic Athletic Healthcare Model -involves (a) addressing adolescent developmental needs and the social determinants of health at the individual level, (b) using strength-based approaches and demonstrating cultural competency in healthcare provider relationships, (c) integrating medical care with campus community services, and (d) promoting health equity in the campus environment. Engagement in sports has many benefits beyond winning in the game and health is more than being injury-free. Sports medicine practitioners and healthcare systems must be proactive in supporting athletes from all backgrounds to become healthy adults.

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Primary health care and the social determinants of health: essential and complementary approaches for reducing inequities in health

Cited by 87 publications

References 23 publications

What does age-comparative self-rated health measure? A cross-sectional study from the Northern Sweden MONICA Project

What does age-comparative self-rated health measure? A cross-sectional study from the Northern Sweden MONICA Project

Looking Beyond Income and Education

The Holistic Athletic Healthcare Model: Addressing the Developmental, Social, and Cultural Needs of Collegiate Athletes

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