KK4 – Comparing Health Status & Human Development Across Income Groups

Unit, Area of Study & Key Knowledge Context

• Unit 4, Area of Study 1: Global Health & Human Development.
• Key Knowledge (KK) sequence referenced in the slides:
  • KK1 – Concept of Human Development.
  • KK2 – Advantages & limitations of the Human Development Index (HDI).
  • KK3 – Characteristics of low-, middle- and high-income countries.
  • KK4 – Similarities & differences in health status and human development between income groups (focus of this transcript).
  • KK5 – Factors contributing to similarities & differences.
  • KK6 – Dimensions of sustainability & their role in promoting health & human development.
  • KK7 – Implications of global trends for health & human development.
• Exam expectation: when analysing graphs/tables always compare (i) global average, (ii) Australia, (iii) each World Bank income group (high, upper-middle, lower-middle, low).
• Variations exist WITHIN each income group; therefore always note intra-group diversity.

General Patterns to Observe (Exam Tip)

• Differences are usually obvious (e.g., communicable disease mortality, life-expectancy gaps); similarities can be subtle (e.g., life expectancy rising everywhere, obesity increasing globally).
• Required to discuss BOTH similarities and differences in any comparison question.

8.6.1 Life Expectancy (LE) & Health-Adjusted Life Expectancy (HALE)

• Global LE has more than doubled since 1900; the sharpest rise occurred after 2000.
• Income gradient:
  • $\text{Lower\ average\ income} \rightarrow \text{Lower\ LE \& HALE}.$
  • Low- & middle-income countries (LMICs) experience greater year-to-year fluctuations due to war, conflict, infectious disease outbreaks.
• Example: 1990s AIDS epidemic reduced LE dramatically across many African nations.
• Sex difference: women out-live men in every country.
  • Global female LE: $75.6\text{ years}$.
  • Global male LE: $70.5\text{ years}$.
  • Female advantage passed males in the 1970s and reached ~$5\text{ years}$ by 2017.
• COVID-19: recent research (Medical Republic) shows LE fell in Sweden by $3$ years (men) and $2$ years (women).
• Graph trends students should identify (from slide images):
  1. Steady upward trajectory for all income groups 2010-2014.
  2. Clear gap: high-income highest, low-income lowest, with Australia slightly above high-income mean.
• Similarities summary:
  • LE & HALE increasing across most nations.
  • Females live longer universally.
• Differences summary:
  • Magnitude of LE rises with income.
  • Volatility (drops during crises) larger in lower-income settings.

8.6.2 Mortality & Morbidity

Core Definitions

• Mortality = deaths; Morbidity = ill-health/illness (non-fatal outcomes).
• Large mortality gaps exist between income groups; understanding these gaps highlights resource needs and intervention priorities.

Child Mortality & Morbidity (Under-5 Mortality Rate – U5MR)

• U5MR is a key indicator of national health & wellbeing.
• Determinants of child survival:
  • Maternal nutrition & health literacy.
  • Immunisation coverage.
  • Availability & quality of maternal/child health services.
  • Household income & food security.
  • Access to clean water & sanitation.
  • Safety of the child’s environment.
• Comparison data snippets (per $1000$ live births, 2021):
  • World: $75.5$.
  • Australia: <1 (≈$2.8$ per 10 000).
  • Trend line (highest to lowest): Low > Lower-middle > Upper-middle > High ≈ Australia.
• Leading causes in LMICs (Table 8.3 excerpts): diarrhoeal disease, malaria, HIV/AIDS, respiratory infections, birth trauma, prematurity, congenital anomalies. Malnutrition underpins many of these.
• High-income context: major causes are congenital anomalies, prematurity, injuries/poisoning.

Adult Mortality & Morbidity

• Some countries display low child mortality but high adult mortality driven by lifestyle factors (smoking, alcohol, unsafe sex → HIV/AIDS).
• Premature adult mortality rises as income falls.
• Dual aetiology:
  1. Communicable diseases (HIV/AIDS, TB, influenza) disproportionally higher in LMICs.
  2. Non-communicable diseases (NCDs) – CVD, cancer, type 2 diabetes – also rising in LMICs, creating a double burden.
• Pregnancy-related deaths: maternal mortality remains far higher in low-income settings due to inadequate obstetric care.
• Social impact: adult illness forces children into caregiving roles, perpetuating the cycle of poverty.

Graph/Chart Insights to Quote

• Probability of reaching age 65: falls markedly from high-income to low-income; gender gap persists (female > male).
• Cause-of-death distribution (communicable vs NCD vs injuries):
  • NCDs dominate in all groups, but communicable share swells as income decreases.

Mortality/Morbidity – Key Similarities & Differences

• Similarities:
  • U5MR improving worldwide.
  • Females retain LE advantage.
  • NCDs constitute the largest single category of deaths everywhere.
• Differences:
  • Absolute mortality/morbidity rates climb steeply as income declines.
  • Maternal mortality disproportionately high in low-income countries.
  • Communicable disease burden exponentially higher in low-income settings.

8.6.3 Burden of Disease (BoD)

• Concept: the gap between current health and an ideal of long life free of disease/disability.
• Measured in Disability-Adjusted Life Years $(DALY)$ where $DALY = YLL + YLD$.
  • $YLL$ = Years of Life Lost (premature mortality).
  • $YLD$ = Years Lived with Disability (morbidity).

Global Income-Based Patterns

• Overall DALY & YLL rates increase as average income decreases.
• Treatment access:
  • Limited in LMICs → higher $YLL$ (premature deaths).
  • Advanced systems (e.g., Australia) → lower $YLL$ but higher $YLD$ because people live longer with chronic disease.
• Specific observations:
  • Non-communicable $YLL$ total is numerically larger in Australia than low-income countries (because more people survive communicable illnesses and live long enough to die from NCDs).
  • Communicable diseases still account for a much bigger proportion of total $YLL$ in low-income settings.
• $YLD$ trajectory: rises with life expectancy; common conditions include CVD, cancers, musculoskeletal disorders (arthritis, osteoporosis), respiratory disease, dementia.
• Many middle-income and some low-income countries now display the double burden: high infectious + high NCD + rising over-nutrition (obesity).

BoD – Key Similarities & Differences

• Similarities:
  • $YLD$ increases with longer life expectancy in all nations.
• Differences:
  • $YLL$ for most causes is higher in low- & middle-income countries.
  • High-income nations have greater absolute $YLL$ from NCDs; low-income nations have higher proportional $YLL$ from communicable diseases.

Consolidated Cross-Cutting Points (Slide 22)

• Universal trends (1990-2019):
  • LE, HDI, and child/maternal survival improved everywhere.
  • Obesity & associated NCDs are rising across all income groups.
• COVID-19 (2020-21):
  • First global LE decline in decades; HDI dipped in every income bracket.
• Persisting income-linked gaps:
  • LE, HDI, and health resources decrease as average income decreases.
  • Infectious disease mortality remains concentrated in low-income countries.
  • Rate of $DALY$ and $YLL$ still inversely related to income.
  • Income volatility produces greater LE fluctuations in LMICs.

Exam Preparation Tips (Slides 23-27)

• Deconstructing a question:
  1. Identify task words (e.g., ‘Describe’, ‘Compare’, ‘Analyse’).
  2. Note content words (topic focus: e.g., ‘social characteristics’, ‘HDI’).
  3. Spot limiting words (scope/time/which income group?).
  4. Observe mark allocation & time.
• Sample response guide (HDI question):
  • Strengths: multi-dimensional (health, education, income) enables comparisons & monitoring over time; gives clearer picture than GDP alone.
• When asked to “Describe two social characteristics of high-income countries” ensure bullet or paragraph format with two discrete, fully explained points (e.g., high education attainment & gender equality, social protection systems).

Ethical / Practical Implications Highlighted

• Double burden strains weak health systems; prioritising funding distribution is ethically critical.
• Addressing maternal mortality and child survival is foundational to breaking the poverty cycle.
• Global cooperation (vaccination campaigns, HIV treatments) directly influences LE trends.

Quick Reference Statistics & Formulas

• Global LE: Women $75.6\text{ y}$, Men $70.5\text{ y}$.
• Sweden COVID-19 drop: Men $-3\text{ y}$, Women $-2\text{ y}$.
• U5MR extremes: Australia $0.28$ vs Low-income $168.7$ per $1000$.
• DALY equation: $DALY = YLL + YLD$.
• HDI elements: $\text{HDI}=f(\text{Life Expectancy},\,\text{GNI per capita},\,\text{Education Index})$ (multi-dimensional measure highlighted though formulaic form not provided in slides).

Suggested Linking to Sustainability (KK6 preview)

• Improved LE & reduced mortality contribute to human capital, supporting economic, social & environmental sustainability.
• Rising NCDs threaten sustainability by inflating healthcare costs and reducing workforce productivity.