Lecture Notes: Social Determinants of Health, Structure, and Social Support (Transcript-Based)
Key Themes and Purpose
The lecture ties health care outcomes to social determinants of health, emphasizing the story behind the numbers rather than just the figures.
Social science perspectives (macro sociology) explain why certain groups have worse or better health outcomes, including COVID-19 impacts.
The course integrates culture, race/ethnicity, gender, and social class (SES) as core factors affecting health, alongside health care economics and the history of medicine/nursing.
The concept of structure is centered on institutions (government/legal, education, health care, family, religion, labor/economy, military) and how they interlock to form a functioning society (the house analogy). When institutions work in tandem, society functions more smoothly; when they don’t, disparities arise.
The health care system is discussed in the context of a market-based (capitalist) framework, with implications for access and equity, including the role of Medicare/Medicaid and Nets like state programs (e.g., Medi-Cal in California).
Structural Elements and Institutions
Structure = institutions (the government/legal system, educational system, health care system, family, religious, labor/economy).
The government/legal institution coordinates and enforces requirements that keep the system functioning (e.g., licensure to become a physician, medical boards).
These institutions are tethered to each other (e.g., educational institutions feed the health care system; legal requirements govern who can practice medicine).
Example: It would be illegal and unsafe to simply hang a shingle as a doctor today due to licensure, malpractice law, and regulatory structures.
The readings aim to illustrate macro sociology: understanding one’s place in the wider social structure and how sexism, racism, religious ideology influence health outcomes.
SES and health: education, income, and occupation interconnect to determine access to resources (safe housing, clean water, reduced environmental hazards, transportation).
The social structure shapes opportunities and constraints that affect health, not just individual choices.
The Social Structure and Health (Macro Sociology in Health)
SES is a powerful predictor of health outcomes; education and jobs influence income, living conditions, and access to health care.
Life expectancy is heavily linked to social class; in the United States, SES is a strong predictor of health and longevity.
A key theoretical expression from the readings: disease and mortality are often inversely related to social class, i.e., higher SES generally associates with lower disease burden and higher lifespan. This can be summarized as a proportional relationship: where $D$ indicates disease burden and $SC$ indicates social class/economic standing.
The readings emphasize macro-level factors: educational institutions, economic institutions, and government institutions collectively shape health disparities.
Socioeconomic Status (SES) and Health Outcomes
SES is described as a composite of education, income, and occupation; all three influence health via stress, access to healthy living environments, and health care access.
The health care system often delivers services through employment-based insurance, linking job status to health access; gaps in nets (state programs) create disparities.
The discussion cites:
Page 41: disease is not distributed evenly; some groups get sick more often and die earlier.
Page 61: across nations/histories, disease distribution relates to poverty; death and disease rates vary inversely with social class ($D \propto 1/SC$).
The class-based health gap persists even with interventions like extra Medicare/Medicaid funding, indicating other stressors (e.g., ongoing poverty, housing, environment) continue to influence health outcomes.
The U.S. health system’s market basis contributes to unequal access and health disparities linked to SES.
Race, Ethnicity, and Residential Segregation
Racially stigmatized and disenfranchised populations experience worse health outcomes; race/ethnicity intersects with social structure to create structural disadvantages (jobs, health care access, family stability, income).
Residential segregation concentrates poverty and environmental hazards, increasing exposure to asthma triggers, pollution, and limited access to health-promoting resources.
Native Americans: higher COVID-19 hospitalization rates and mortality; factors include higher poverty, rural living, limited access to testing, vaccines, and emergency services; reliance on the Indian Health Service (IHS) which differs from other states’ health care access.
Underlying conditions common in affected groups (e.g., asthma, diabetes, nutrition) contribute to higher vulnerability during health crises.
The discussion notes that Black Americans’ mortality from COVID-19 varies by state, illustrating within-country heterogeneity in health outcomes by race.
Williams & Mohammed emphasize the role of residential segregation in shaping health disparities; stereotypes and economic structures also contribute to health gaps.
Page references for context: page 57 (noting the exam-relevant content in the Williams & Mohammed reading), page 65 (stereotype threat section), page 65 (definition of stereotype threat), and page 41/61 (SES and poverty links).
Stereotype Threat
Stereotype threat is the activation of negative stereotypes among stigmatized groups, creating expectations, anxiety, and performance decrements.
Experimental evidence shows that when stigma is activated (e.g., African Americans told they perform worse, women told they perform worse than men, white men told they perform worse than Asians), test performance declines relative to control groups.
This phenomenon links cultural expectations to measurable impacts on social and psychological functioning, including health-related behaviors and performance in exams or tasks.
Read about on page 65; anticipate exam questions on how stereotype threat can influence health-related outcomes (e.g., adherence to treatment, willingness to seek care) as part of the broader social determinants framework.
Stress, Inflammation, and Cardiovascular Health
Stress is not just feeling anxious; chronic stress changes physiology and health outcomes.
Chronic stress drives extended elevated cortisol, increased blood pressure, systemic inflammation, and vascular damage, with direct implications for the cardiovascular system.
Heart disease is the leading cause of death in The US, and chronic stress contributes to the risk profile for heart disease.
Stress interacts with social inequalities: structurally stressed populations (due to SES, discrimination, housing, etc.) experience worse health trajectories over time.
Health as a Social Phenomenon
Health cannot be understood solely through biological markers (e.g., blood counts, lab values); clinicians must consider the social context, including lived experiences, daily stressors, and environmental exposures.
A good health professional asks holistic questions about life circumstances to interpret health data meaningfully.
The speaker relates personal concerns about violence, fear, and media exposure affecting health, especially for lower-income groups and youth; these social pressures can influence sleep, stress, and overall health.
Loneliness, Social Isolation, and Media
Loneliness is described as an epidemic in modern society, highlighted by the US Surgeon General Vivek Murthy (as of 2023).
Loneliness affects emotional, psychological, and physical health; it can worsen anxiety, depression, cognitive decline, and overall well-being.
Technology and digital communication can create perceived connectedness while reducing in-person social interactions; reduced face-to-face contact is associated with loneliness.
Harvard studies and other university work suggest loneliness has developmental health implications starting in childhood and extending into adulthood.
Media is framed as an emerging social institution that manages information and entertainment; its rapid expansion (cell phones, streaming, social media) has broad health implications, particularly for youth.
National attention to loneliness underscores the need to consider social connections when evaluating health outcomes and designing interventions.
Social Support, Relationships, and Mental/Physical Health
Social support is the practical and emotional network that helps individuals manage illness and daily stress.
Having people to communicate with (family, friends, peers) improves health outcomes; social ties are key indicators of good mental and physical health.
Social support can manifest in everyday actions: someone noticing you’re unwell, offering rides to appointments, accompanying you to care, or simply staying connected.
Strong social networks reduce loneliness, help manage stress, and can slow cognitive decline in aging populations; close relationships in households, dorms, or communities serve as informal health maintenance systems.
The anecdote about how family and community can reallocate tasks when someone is sick illustrates the practical benefits of social support (e.g., someone handles shopping, meals, medical visits).
The lecture cites the value of eye-balling and monitoring others for health cues as an essential component of social support and health maintenance.
Gender and Health
A common axiom: women get sicker, but men die quicker; this reflects gender differences in health care seeking, data collection, and disease patterns.
Women tend to seek medical care more readily than men; socialization and stigma around illness influence when/how people seek care.
Data collection historically focused on men; as data become more gender-sensitive, gaps in diagnosis/treatment for women and people of color become clearer (e.g., heart disease misdiagnosis in women due to historically male-centric research).
Gendered patterns in health outcomes are also seen in occupational segregation and social expectations:
Men are overrepresented in some high-risk occupations (e.g., long-haul truck driving) with unique health risks.
Women’s health patterns often reflect higher utilization of health services and a different set of risk exposures (reproductive health, chronic illness patterns).
Life expectancy differences by gender and race: in general, women live longer than men; e.g., in the US, women live to about years on average, but there are race- and ethnicity-specific variations (e.g., Black women vs White men).
Historical shifts in causes of death:
In 1900, infectious diseases dominated; life expectancy around in the US; worldwide life expectancy around .
By the 1920s–1930s, heart disease rises as a leading chronic cause; by 1940s, heart disease and other chronic diseases become prominent; role of public health measures and medical advances (nutrition, vaccines, penicillin, hospital investments) contribute to rising life expectancy.
The gender gap in cardiovascular disease care partly stems from earlier focus on men in research and treatment; later data show need for gender-sensitive diagnosis and treatment.
The truck driver example illustrates how a male-dominated occupation with long hours, isolation, poor sleep, high stress, and limited access to regular medical care contributes to higher rates of type 2 diabetes, hypertension, and heart disease.
The discussion of division of labor and gendered work in different cultural contexts (e.g., Sub-Saharan Africa) demonstrates how gendered roles intersect with health risks and access to resources.
Historical Life Expectancy and Policy Context
1900 life expectancy was about in the US; worldwide about .
The gender gap in 1900 was smaller (roughly ) than today, but still present.
Around 1921, heart disease begins to displace infectious diseases as a leading cause of death in the US, marking a shift to chronic disease epidemiology.
The post-1930s era sees increased federal investment in hospitals and medical infrastructure (e.g., hospital building in the 1940s), alongside the development of antibiotics (penicillin) and better diagnostic capabilities, contributing to rising life expectancy.
The introduction of Medicare/Medicaid and ongoing state programs (e.g., Medi-Cal in California) are key components of the social safety net affecting access to care for low-income populations.
The Humanology Project and Destigmatization
The Humanology Project is cited as a campus group focused on destigmatizing illnesses (especially mental health) and promoting open conversations about chronic conditions (epilepsy, alcoholism, drug abuse, domestic violence, depression, anxiety).
An illustrative case: Neha, a student who researched epilepsy among South Asian communities, highlighted how epilepsy stigma differs across cultures and can hinder care when traveling to family origins; this work contributed to destigmatization efforts and engagement with broader communities.
Destigmatization aims to improve help-seeking behavior and access to support networks through open discussion and collaboration with community groups.
Practical Implications for Exam Preparation
Be prepared to discuss how macro social structures (institutions and SES) shape health outcomes and why health disparities exist beyond individual choices.
Understand the relationship between SES and health: education, income, and occupation influence access to resources, living conditions, exposure to pollutants, and stress levels, all of which affect health outcomes and life expectancy.
Be able to explain stereotype threat and how it can influence health-related performance and behaviors (e.g., engagement with health-promoting activities, adherence to treatment, health-seeking behavior).
Know the role of chronic stress in health: mechanisms include prolonged cortisol exposure, hypertension, inflammation, and vascular damage; connect to the leading causes of death (heart disease).
Recognize the health implications of loneliness and social isolation, the rise of digital media as a social institution, and the importance of social support networks for mental and physical health.
Be able to discuss gender differences in health, including why women may experience higher illness rates but longer life expectancy, and how historical data collection biases and occupational segregation shape current patterns.
Understand historical shifts in disease patterns and health care policy, including the transition from infectious to chronic diseases, and the impact of public health investments and health care financing on life expectancy.
Use the provided page references as anchors for exam questions related to Williams & Mohammed (pages 57, 65, 41, 61) and the discussed themes.
Illustrate concepts with examples from the transcript (e.g., Native American health disparities, Indian Health Service, truck driver health risks, Wes Moore’s discussions of isolation and social support).
Ethical considerations: destigmatization of mental health, equitable access to care, and the moral implications of policy decisions that affect vulnerable populations.
Quick Reference: Key Terms and Concepts
Social determinants of health
Macro sociology / social structure
Institutions: government/legal, education, health care, family, religion, labor/economy, military
SES (socioeconomic status): education, income, occupation
Residential segregation
Stereotype threat (page 65)
Chronic stress and health: cortisol, hypertension, inflammation
Loneliness / social isolation; loneliness epidemic (Vivek Murthy)
Social support
Gender differences in health; data collection biases; gendered labor and morbidity/mortality patterns
History of health care policy and investment (Medicare/Medicaid, hospital investment in the 1940s, penicillin, etc.)
Indian Health Service (IHS)
Mental health destigmatization (Humanology Project)
Occupational health: truck drivers and health risks
Notable anecdotal examples: Epilepsy stigma, Wes Moore’s discussion of isolation