Determinants of health and health inequities: HSC Health and Movement Science Focus Area 1

A 6-mark analyse needs all four categories applied and shown to cluster, not listed separately.

Apply the four categories. Sociocultural (dispossession, intergenerational trauma, racism in services), socioeconomic (lower median income, lower secondary completion, higher remote unemployment), environmental (housing overcrowding, distance from specialist care, food and water security), and individual (chronic disease risk amplified by upstream determinants).

Show the interaction. The determinants cluster, so a clinic-only or behaviour-only response misses the structural drivers; this is why the ACCHS model addresses several determinants together.

Markers reward (1) all four categories with Australian specifics, (2) explicit clustering rather than four separate lists, (3) naming colonisation and structural context.

An 8-mark justify needs a chosen inequity, the determinants framework, and a reasoned case for multi-component action.

Choose an inequity

E.g. Type 2 diabetes in Western Sydney or Aboriginal and Torres Strait Islander life expectancy.

Apply the framework

Show the inequity is driven by individual, sociocultural, socioeconomic and environmental determinants acting together.

Make the case

A single-component intervention (e.g. a behaviour-change campaign) addresses one determinant while the others keep operating; multi-component programs (Western Sydney Diabetes, the NACCHO model, Healthy Together Victoria) align with the framework and the evidence.

Judgement

Conclude clearly that multi-component intervention is justified; markers reward named Australian programs and a calibrated judgement over abstract claims.

Award 1 mark per category correctly named WITH a fitting Australian example. Naming a category with no example, or an example with no category, scores half.

Individual (biological) - 1 mark

Genetics, sex, age, body composition. Example: BRCA1/2 genetic risk for breast cancer, or age-related cardiovascular risk.

Sociocultural - 1 mark

Family, peers, culture, religion, language, media. Example: family smoking patterns predicting adolescent uptake, or limited English proficiency reducing access to written health information.

Socioeconomic - 1 mark

Income, employment, education, occupation. Example: the roughly 7 year life-expectancy gap between people in the most and least disadvantaged areas (ABS/AIHW, 2022-24).

Environmental - 1 mark

Geography/remoteness, housing, infrastructure, food access, pollutants. Example: higher rates of potentially preventable hospitalisation in remote Australia, or limited fresh-food retail in outer-suburban "food deserts".

Full marks need all four categories with a specifically AUSTRALIAN example, not a generic one.

Definition (1 mark). A determinant of health is any factor that influences health outcomes at the individual or population level - the upstream conditions that shape who gets sick and who stays well, not just the disease itself.

Clustering (2 marks). Clustering means the determinants are not independent: they tend to occur together in the same people and places. For example, low income (socioeconomic) commonly coincides with poorer housing and food access (environmental), restricted educational opportunity (sociocultural) and elevated biological risk through chronic stress (individual). Because they pile up together, the disadvantage is multiplied rather than added, which is why acting on a single determinant in isolation usually has limited effect.

A complete answer names at least two determinants occurring together (1 mark) and states the consequence - that combined disadvantage drives the inequity and resists single-determinant fixes (1 mark).

A 5-mark "describe and explain" rewards (i) an accurate reading of the trend with figures, and (ii) a determinants explanation, not just a restatement.

Describe the trend (about 2 marks). Daily smoking prevalence falls steadily as socioeconomic position rises: from about 17% in the most disadvantaged quintile to about 6% in the least disadvantaged - roughly a threefold gradient (about 11 percentage points), and a consistent monotonic decline across all five quintiles with no reversal. Quote at least the two endpoints and the direction.

Explain with the framework (about 3 marks). A behaviour that looks purely individual ("a person chose to smoke") is patterned by upstream determinants: socioeconomic (lower income and education are linked to higher smoking and less access to paid cessation support), sociocultural (peer and family smoking norms, heavier historical tobacco marketing in lower-income communities, stress used as a coping pathway), and environmental (greater retail availability of tobacco in disadvantaged areas). These cluster, so the gradient is structural, not a sum of individual failings.

Marking spine: accurate trend with figures and direction (2), determinants named and linked to the gradient (2), explicit point that the clustering makes it structural (1). A pure description with no determinants, or a determinants list that never refers to the data, caps at 3. (Figures are an ExamExplained dataset modelled on the ABS/AIHW socioeconomic smoking gradient, 2022; treat as illustrative.)

A 6-mark "explain... shape" needs a named population and a causal chain from determinants to health outcomes across at least three categories - not four separate lists.

Choose Aboriginal and Torres Strait Islander Australians (the clearest case)

Sociocultural (about 2 marks)

Colonisation, dispossession and intergenerational trauma, plus experiences of racism in mainstream services, reduce trust and help-seeking and act as chronic stressors - shaping mental health and engagement with care.

Socioeconomic (about 2 marks)

Lower median income, lower rates of Year 12 completion and higher remote unemployment limit access to higher-cost healthy food, secure housing and private care, feeding into higher chronic-disease risk.

Environmental (about 1-2 marks)

Housing overcrowding, distance from specialist services and gaps in water and food security in some remote communities raise infection and chronic-disease risk and delay treatment.

Tie it together

These determinants cluster and reinforce one another, which is why the life-expectancy gap remains about 8.8 years (males) and 8.1 years (females) (ABS, 2020-22) and why a clinic-only or behaviour-only response is insufficient.

Marking spine: a named population (implicit), at least three categories each linked to a health OUTCOME (4-5), and an explicit clustering/interaction statement (1). Listing determinants with no outcome, or describing the inequity with no determinants, stays mid-band.

A 5-mark "outline and explain" rewards a clear distinction plus the reason it matters.

Inequality (about 1 mark)

A measurable difference in health outcomes between groups - e.g. males have a lower life expectancy than females. It is descriptive and not necessarily unfair (some differences are biological).

Inequity (about 2 marks)

A difference that is also unfair and avoidable because it stems from unjust social conditions rather than from biology or free choice - e.g. the roughly 7 year life-expectancy gap by socioeconomic area (ABS/AIHW, 2022-24), which traces to income, education, housing and access. Inequity carries a value judgement about fairness; inequality does not.

Why it matters (about 2 marks)

The determinants framework targets inequity: because inequities are driven by modifiable socioeconomic, sociocultural and environmental determinants, they can in principle be reduced by policy. Labelling a gap an "inequity" identifies it as avoidable and shifts responsibility from the individual to the structural conditions - which is what justifies upstream, multi-component action rather than blaming behaviour.

Marking spine: both terms defined with the fairness/avoidability distinction (3), and the policy implication that inequities are the modifiable target of the determinants framework (2).

A 12-mark "analyse" extended response needs a sustained argument that shows HOW the determinants interact to PRODUCE inequities - with named groups, specific determinants and current data - not a description of one group or a list of definitions.

Band 6 PLAN.

Thesis: Health inequities in Australia are not random or purely biological; they are produced by the individual, sociocultural, socioeconomic and environmental determinants acting together and clustering in the same disadvantaged groups, so that upstream social conditions, more than individual choice, explain the observed gaps.

Argument 1 - the socioeconomic gradient is the spine of inequity. Evidence: life expectancy is about 7 years lower in the most disadvantaged areas than the least (ABS/AIHW, 2022-24); daily smoking, obesity and chronic disease all rise as socioeconomic position falls. Mechanism: income and education shape access to healthy food, secure housing, health literacy and care - so a "behaviour" like smoking is patterned by structure.

Argument 2 - determinants cluster and interact (they do not act alone). Evidence: in low-income communities, socioeconomic disadvantage co-occurs with poorer environments (food deserts, unsafe activity spaces) and sociocultural factors (marketing exposure, norms, chronic stress). Mechanism: clustering multiplies risk, which is why single-determinant responses underperform.

Argument 3 - the framework explains the largest sustained inequity. Evidence: the Aboriginal and Torres Strait Islander life-expectancy gap is about 8.8 years (males) and 8.1 years (females) (ABS, 2020-22). Mechanism: sociocultural (colonisation, dispossession, intergenerational trauma, racism), socioeconomic (income, education, remote unemployment) and environmental (overcrowding, remoteness, food and water security) determinants cluster on a foundation of structural disadvantage; the ACCHS/NACCHO model works because it addresses several at once.

Counter-weight / judgement: individual (biological) determinants and personal choice are real but are themselves shaped by the upstream determinants, so inequities are largely avoidable - which is why they are inequities, not mere inequalities, and why multi-component policy is the appropriate response.

Model paragraph (Argument 1). The clearest evidence that inequities are socially produced rather than chosen is the socioeconomic gradient that runs through almost every Australian health measure. People living in the most disadvantaged areas can expect to live about 7 years less than those in the most advantaged areas (ABS/AIHW, 2022-24), and the gradient is stepwise: each rung down the socioeconomic ladder carries higher daily smoking, higher obesity and higher chronic-disease prevalence. The determinants framework explains why. Income and education (socioeconomic) govern whether a household can afford higher-cost fresh food, secure housing and time for physical activity; they shape health literacy and the capacity to navigate and pay for care. These socioeconomic determinants do not operate alone - they pull sociocultural determinants (marketing exposure, peer norms, stress as a coping pathway) and environmental determinants (food access, safe activity space) along with them, so disadvantage clusters in the same people and places. A behaviour that looks individual is therefore patterned by structure, and the gradient is the fingerprint of that structure - which is precisely why it counts as an avoidable inequity and not a natural inequality.

Marker's note: markers reward a sustained thesis that genuinely ANALYSES (shows how determinants interact to cause inequity) rather than describes one group; explicit, correct use of all four determinant categories; named population groups (socioeconomic quintiles AND Aboriginal and Torres Strait Islander Australians) with CURRENT data carrying a year (the ~7 year socioeconomic gap, 2022-24; the ~8.8/8.1 year First Nations gap, 2020-22); explicit CLUSTERING/interaction; and a calibrated judgement that distinguishes inequity from inequality. A four-paragraph "definitions" answer, a single-group description, or data with no year cannot reach the top band.