José A. Tapia Granados

Life and death during the Great Depression

Recent events highlight the importance of examining the impact of economic downturns on population health. The Great Depression of the 1930s was the most important economic downturn in the U.S. in the twentieth century. We used historical life expectancy and mortality data to examine associations of economic growth with population health for the period 1920–1940. We conducted descriptive analyses of trends and examined associations between annual changes in health indicators and annual changes in economic activity using correlations and regression models. Population health did not decline and indeed generally improved during the 4 years of the Great Depression, 1930–1933, with mortality decreasing for almost all ages, and life expectancy increasing by several years in males, females, whites, and nonwhites. For most age groups, mortality tended to peak during years of strong economic expansion (such as 1923, 1926, 1929, and 1936–1937). In contrast, the recessions of 1921, 1930–1933, and 1938 coincided with declines in mortality and gains in life expectancy. The only exception was suicide mortality which increased during the Great Depression, but accounted for less than 2% of deaths. Correlation and regression analyses confirmed a significant negative effect of economic expansions on health gains. The evolution of population health during the years 1920–1940 confirms the counterintuitive hypothesis that, as in other historical periods and market economies, population health tends to evolve better during recessions than in expansions.

Macroeconomic fluctuations and mortality in postwar Japan

Recent research has shown that after long-term declining trends are excluded, mortality rates in industrial countries tend to rise in economic expansions and fall in economic recessions. In the present work, co-movements between economic fluctuations and mortality changes in postwar Japan are investigated by analyzing time series of mortality rates and eight economic indicators. To eliminate spurious associations attributable to trends, series are detrended either via Hodrick-Prescott filtering or through differencing. As previously found in other industrial economies, general mortality and age-specifi death rates in Japan tend to increase in expansions and drop in recessions, for both males and females. The effect, which is slightly stronger for males, is particularly noticeable in those aged 45–64. Deaths attributed to heart disease, pneumonia, accidents, liver disease, and senility—making up about 41% of total mortality—tend to fluctuate procyclically, increasing in expansions. Suicides, as well as deaths attributable to diabetes and hypertensive disease, make up about 4% of total mortality and fluctuate countercyclically, increasing in recessions. Deaths attributed to other causes, making up about half of total deaths, don’t show a clearly defined relationship with the fluctuations of the economy.Recent research has shown that after long-term declining trends are excluded, mortality rates in industrial countries tend to rise in economic expansions and fall in economic recessions. In the present work, co-movements between economic fluctuations and mortality changes in postwar Japan are investigated by analyzing time series of mortality rates and eight economic indicators. To eliminate spurious associations attributable to trends, series are detrended either via Hodrick-Prescott filtering or through differencing. As previously found in other industrial economies, general mortality and age-specifi death rates in Japan tend to increase in expansions and drop in recessions, for both males and females. The effect, which is slightly stronger for males, is particularly noticeable in those aged 45–64. Deaths attributed to heart disease, pneumonia, accidents, liver disease, and senility—making up about 41% of total mortality—tend to fluctuate procyclically, increasing in expansions. Suicides, as well as deaths attributable to diabetes and hypertensive disease, make up about 4% of total mortality and fluctuate countercyclically, increasing in recessions. Deaths attributed to other causes, making up about half of total deaths, don’t show a clearly defined relationship with the fluctuations of the economy.

The reversal of the relation between economic growth and health progress: Sweden in the 19th and 20th centuries

Health progress, as measured by the decline in mortality rates and the increase in life expectancy, is usually conceived as related to economic growth, especially in the long run. In this investigation it is shown that economic growth is positively associated with health progress in Sweden throughout the 19th century. However, the relation becomes weaker as time passes and is completely reversed in the second half of the 20th century, when economic growth negatively affects health progress. The effect of the economy on health occurs mostly at lag 0 in the 19th century and is lagged up to 2 years in the 20th century. No evidence is found for economic effects on mortality at greater lags. These findings are shown to be robustly consistent across a variety of statistical procedures, including linear regression, spectral analysis, cross-correlation, and lag regression models. Models using inflation and unemployment as economic indicators reveal similar results. Evidence for reverse effects of health progress on economic growth is weak, and unobservable in the second half of the 20th century.

Individual Joblessness, Contextual Unemployment, and Mortality Risk

Longitudinal studies at the level of individuals find that employees who lose their jobs are at increased risk of death. However, analyses of aggregate data find that as unemployment rates increase during recessions, population mortality actually declines. We addressed this paradox by using data from the US Department of Labor and annual survey data (1979-1997) from a nationally representative longitudinal study of individuals-the Panel Study of Income Dynamics. Using proportional hazards (Cox) regression, we analyzed how the hazard of death depended on 1) individual joblessness and 2) state unemployment rates, as indicators of contextual economic conditions. We found that 1) compared with the employed, for the unemployed the hazard of death was increased by an amount equivalent to 10 extra years of age, and 2) each percentage-point increase in the state unemployment rate reduced the mortality hazard in all individuals by an amount equivalent to a reduction of 1 year of age. Our results provide evidence that 1) joblessness strongly and significantly raises the risk of death among those suffering it, and 2) periods of higher unemployment rates, that is, recessions, are associated with a moderate but significant reduction in the risk of death among the entire population.

Economic growth and health progress in England and Wales: 160 years of a changing relation

Using data for England and Wales during the years 1840-2000, a negative relation is found between economic growth--measured by the rate of growth of gross domestic product (GDP)--and health progress--as indexed by the annual increase in life expectancy at birth (LEB). That is, the lower is the rate of growth of the economy, the greater is the annual increase in LEB for both males and females. This effect is much stronger, however, in 1900-1950 than in 1950-2000, and is very weak in the 19th century. It appears basically at lag zero, though some short-lag effects of the same negative sign are found. In the other direction of causality, there are very small effects of the change in LEB on economic growth. These results add to an emerging consensus that in the context of long-term declining trends, mortality oscillates procyclically during the business cycle, declining faster in recessions. Therefore, LEB increases faster during recessions than during expansions. The investigation also shows how the relation between economic growth and health progress changed in England and Wales during the study period. No evidence of cointegration between income--as indexed by GDP or GDP per capita--and health--as indexed by LEB--is found.

Mortality decrease according to socioeconomic groups during the economic crisis in Spain: a cohort study of 36 million people

BACKGROUND Studies of the effect of macroeconomic fluctuations on mortality in different socioeconomic groups are scarce and have yielded mixed findings. We analyse mortality trends in Spain before and during the Great Recession in different socioeconomic groups, quantifying the change within each group. METHODS We did a nationwide prospective study, in which we took data from the 2001 Census. All people living in Spain on Nov 1, 2001, were followed up until Dec 31, 2011. We included 35 951 354 people alive in 2001 who were aged between 10 and 74 years in each one of the four calendar years before the economic crisis (from 2004 to 2007) and in each one of the first four calendar years of the crisis (from 2008 to 2011), and analysed all-cause and cause-specific mortality in those people. We classified individuals by socioeconomic status (low, medium, or high) using two indicators of household wealth: household floor space (<72 m2, 72-104 m2, and >104 m2) and number of cars owned by the residents of the household (none, one, and two or more). We used Poisson regression to calculate the annual percentage reduction (APR) in mortality rates during 2004-07 (pre-crisis) and 2008-11 (crisis) in each socioeconomic group, as well as the effect size, measured by the APR difference between the pre-crisis and crisis period. FINDINGS The annual decline in all-cause mortality in the three socioeconomic groups was 1·7% (95% CI 1·2 to 2·1) for the low group, 1·7% (1·3 to 2·1) for the medium group, and 2·0% (1·4 to 2·5) for the high group in 2004-07, and 3·0% (2·5 to 3·5) for the low group, 2·8% (2·5 to 3·2) for the medium group, and 2·1% (1·6 to 2·7) for the high group in 2008-11 when individuals were classified by household floor space. The annual decline in all-cause mortality when people were classified by number of cars owned by the household was 0·3% (-0·1 to 0·8) for the low group, 1·6% (1·2 to 2·0) for the medium group, and 2·2% (1·6 to 2·8) for the high group in 2004-07, and 2·3% (1·8 to 2·8) for the low group, 2·4% (2·0 to 2·7) for the medium group and 2·5% (1·9 to 3·0) for the high group in 2008-11. The low socioeconomic group showed the largest effect size for both wealth indicators. INTERPRETATION In Spain, probably due to the decrease in exposure to risk factors, all-cause mortality decreased more during the economic crisis than before the economic crisis, especially in low socioeconomic groups. FUNDING None.

Health, economic crisis, and austerity: A comparison of Greece, Finland and Iceland.

Reports have attributed a public health tragedy in Greece to the Great Recession and the subsequent application of austerity programs. It is also claimed that the comparison of Greece with Iceland and Finland-where austerity policies were not applied-reveals the harmful effect of austerity on health and that by protecting spending in health and social budgets, governments can offset the harmful effects of economic crises on health. We use data on life expectancy, mortality rates, incidence of infectious diseases, rates of vaccination, self-reported health and other measures to examine the evolution of population health and health services performance in Greece, Finland and Iceland since 1990-2011 or 2012-the most recent years for which data are available. We find that in the three countries most indicators of population health continued improving after the Great Recession started. In terms of population health and performance of the health care system, in the period after 2007 for which data are available, Greece did as good as Iceland and Finland. The evidence does not support the claim that there is a health crisis in Greece. On the basis of the extant evidence, claims of a public health tragedy in Greece seem overly exaggerated.

Politics and health in eight European countries: A comparative study of mortality decline under social democracies and right-wing governments

Recent publications have argued that the welfare state is an important determinant of population health, and that social democracy in office and higher levels of health expenditure promote health progress. In the period 1950-2000, Greece, Portugal, and Spain were the poorest market economies in Europe, with a fragmented system of welfare provision, and many years of military or authoritarian right-wing regimes. In contrast, the five Nordic countries were the richest market economies in Europe, governed mostly by center or center-left coalitions often including the social democratic parties, and having a generous and universal welfare state. In spite of the socioeconomic and political differences, and a large gap between the five Nordic and the three southern nations in levels of health in 1950, population health indicators converged among these eight countries. Mean decadal gains in longevity of Portugal and Spain between 1950 and 2000 were almost three times greater than gains in Denmark, and about twice as great as those in Iceland, Norway and Sweden during the same period. All this raises serious doubts regarding the hypothesis that the political regime, the political party in office, the level of health care spending, and the type of welfare state exert major influences on population health. Either these factors are not major determinants of mortality decline, or their impact on population health in Nordic countries was more than offset by other health-promoting factors present in Southern Europe.

Macroeconomic effects on mortality revealed by panel analysis with nonlinear trends

Many investigations have used panel methods to study the relationships between fluctuations in economic activity and mortality. A broad consensus has emerged on the overall procyclical nature of mortality: perhaps counter-intuitively, mortality typically rises above its trend during expansions. This consensus has been tarnished by inconsistent reports on the specific age groups and mortality causes involved. We show that these inconsistencies result, in part, from the trend specifications used in previous panel models. Standard econometric panel analysis involves fitting regression models using ordinary least squares, employing standard errors which are robust to temporal autocorrelation. The model specifications include a fixed effect, and possibly a linear trend, for each time series in the panel. We propose alternative methodology based on nonlinear detrending. Applying our methodology on data for the 50 US states from 1980 to 2006, we obtain more precise and consistent results than previous studies. We find procyclical mortality in all age groups. We find clear procyclical mortality due to respiratory disease and traffic injuries. Predominantly procyclical cardiovascular disease mortality and countercyclical suicide are subject to substantial state-to-state variation. Neither cancer nor homicide have significant macroeconomic association.

On the terminology and dimensions of incidence

This paper is a review of the concept of incidence and the measures of incidence commonly used. The three components of incidence (observed event, population at risk, and observation period) and the four measures of incidence (incidence as number of events, as number of events per time unit, as number of events per unit of amount of observation, and as probability) are discussed. The terminology and dimensions of incidence measures used in epidemiology literature are reviewed. Ambiguities and uses of the same term for different purposes seem to suggest the need for standardized terminology. Incidence measures with length-based amount of observation are also briefly discussed.