Is there a link between all-cause mortality and economic fluctuations?

Background: All-cause mortality is a global indicator of the overall health of the population, and its relation to the macro economy is thus of vital interest. The main aim was to estimate the short-term and the long-term impact of macroeconomic change on all-cause mortality. Variations in the unemployment rate were used as indicator of temporary fluctuations in the economy. Methods: We used time-series data for 21 OECD countries spanning the period 1960-2018. We used four outcomes: total mortality (0+), infant mortality (<1), mortality in the age-group 20-64, and old-age mortality (65+). Data on GDP/capita were obtained from the Maddison Project. Unemployment data (% unemployed in the work force) were sourced from Eurostat. We applied error correction modelling to estimate the short-term and the long-term impact of macroeconomic change on all-cause mortality. Results: We found that increases in unemployment were statistically significantly associated with decreases in all mortality outcomes except old-age mortality. Increases in GDP were associated with significant lowering long-term effects on mortality. Conclusions: Our findings, based on data from predominantly affluent countries, suggest that an increase in unemployment leads to a decrease in all-cause mortality. However, economic growth, as indicated by increased GDP, has a long-term protective health impact as indexed by lowered mortality.

Is there a link between cardiovascular mortality and economic fluctuations?

Background: Unemployment might affect several risk factors of cardiovascular disease (CVD), which is the leading cause of death globally. The characterisation of the relation between these two phenomena is thus of great significance from a public-health perspective. The main aim of this study was to estimate the association between the unemployment rate and mortality from CVD and from coronary heart disease (CHD). Additional aims were (a) to assess whether the associations are modified by the degree of unemployment protection; (b) to determine the impact of GDP on heart-disease mortality; and (c) to assess the impact of the Great Recession in this context. Methods: We used time-series data for 32 countries spanning the period 1960-2015. We applied two alternative modelling strategies: (a) error correction modelling, provided that the data were co-integrated; and (b) first-difference modelling in the absence of co-integration. Separate models were estimated for each of five welfare state regimes with different levels of unemployment protection. We also performed country-specific ARIMA-analyses. Results: Because the data did not prove to be co-integrated, we applied first-difference modelling. The estimated effect of unemployment and GDP on CVD as well as CHD was statistically insignificant across age and sex groups and across the various welfare state regimes. An interaction term capturing the possible excess effect of unemployment during the Great Recession was also statistically insignificant. Conclusions: Our findings, based on data from predominantly affluent countries, suggest that heart-disease mortality does not respond to economic fluctuations.

Short-term and long-term effects of GDP on traffic deaths in 18 OECD countries, 1960-2011.

BACKGROUND: Research suggests that increases in gross domestic product (GDP) lead to increases in traffic deaths plausibly due to the increased road traffic induced by an expanding economy. However, there also seems to exist a long-term effect of economic growth that is manifested in improved traffic safety and reduced rates of traffic deaths. Previous studies focus on either the short-term, procyclical effect, or the long-term, protective effect. The aim of the present study is to estimate the short-term and long-term effects jointly in order to assess the net impact of GDP on traffic mortality. METHODS: We extracted traffic death rates for the period 1960-2011 from the WHO Mortality Database for 18 OECD countries. Data on GDP/capita were obtained from the Maddison Project. We performed error correction modelling to estimate the short-term and long-term effects of GDP on the traffic death rates. RESULTS: The estimates from the error correction modelling for the entire study period suggested that a one-unit increase (US$1000) in GDP/capita yields an instantaneous short-term increase in the traffic death rate by 0.58 (p<0.001), and a long-term decrease equal to -1.59 (p<0.001). However, period-specific analyses revealed a structural break implying that the procyclical effect outweighs the protective effect in the period prior to 1976, whereas the reverse is true for the period 1976-2011. CONCLUSIONS: An increase in GDP leads to an immediate increase in traffic deaths. However, after the mid-1970s this short-term effect is more than outweighed by a markedly stronger protective long-term effect, whereas the reverse is true for the period before the mid-1970s.