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Population health has long been a topic of great interest to population-based fields such as epidemiology, social demography, geography, and public health. It is both a set of social indicators and a field of scientific interest and professional practice. Historically, for at least two centuries, population health has primarily been focused on the distributions and patterns of health outcomes and their causes in populations—typically based on geography and/or governmental authority—and sociodemographic subgroups within populations. The overarching objective of population health is to elucidate how social, economic, environmental, and ecological factors and changes within societies manifest—in both positive and negative ways—in health outcomes at the population level.1
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The general foci of population health has historically included: (a) systematically measuring rates of health, morbidity, injury, and mortality in populations; (b) elucidating the determinants of health at both individual and population level; (c) identifying and addressing risks to population health; and (d) identifying and evaluating interventions aimed at improving population health and reducing distributional disparities.2,3
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The key methods and metrics used in population health research and policy (listed in Box 2-1) are defined in a plethora of books and articles.1–6 Population health data typically come from vital registration systems, censuses, public health reporting systems, numerous public and private administrative databases, and surveys, all with strong attention to capturing data from the entire “denominator” or population base from the which the data are gathered and should validly represent.5 Population-level indicators such as life expectancy, mortality rates across the life course, unintentional injury incidence, risk behavior levels, preventable hospitalization rates, etc., represent both exposures and investments at the micro, mezzo, and macro levels, and are important signals regarding the physical, mental, and social health of populations. Surveillance and research using these metrics is a powerful tool for making absolute and relative comparisons within and across countries and their subpopulations in the cross-section and over time.
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BOX 2-1 Key Population Health Indicators and Measures
Population-Level Health Indicators
Life expectancy
Healthy life expectancy or health-adjusted life expectancy
Disability-free life expectancy
Years of healthy life
Quality-adjusted life years (QALYs)
Disability-adjusted life years (DALYs)
Compression of morbidity
Total fertility rate
Measures of Mortality
Overall crude mortality rate
Overall age-standardized mortality rate
Cause-specific mortality rate
Age-specific mortality
Perinatal mortality rate
Infant mortality rate
Child mortality rate
Maternal mortality rate
Premature mortality (before age 65)
Years of life lost to premature mortality
Measures of Disease and Injury Frequency
Period incidence
Cumulative incidence
Incidence density
Point prevalence
Period prevalence
Measures of Physical and Mental Health Status
Self-reported overall health status
Disease/condition incidence and prevalence
Depressive symptoms scales
Depression scales
GAD-7 scale
CAGE alcohol screening tests
K6 scale
SF-36 (36-Item Short Form Survey)
Quality of Well-Being Scale
Sickness Impact Profile
Adverse Childhood Experiences scale
Measures of Functioning and Disability
Disability rates
Physical functioning scales
Activities of daily living
Instrumental activities of daily living
Cognitive impairment
Measures of Health Risk
Tobacco ...