Correspondence
www.thelancet.com/lancetgh Vol 8 April 2020 e482
Democracy and
implementation of
non-communicable
disease policies
In their Article in The Lancet Global
Health, Luke Allen and colleagues
1found weak evidence for a positive
association between democracy
and the implementation of polices
recommended by WHO to reduce
the burden of premature
non-communicable disease mortality.
1As Allen and colleagues note, that
finding is in contrast with our research
on the positive association between
democracy and population health
outcomes on non-communicable
diseases.
2Accordingly, here we build
on the important analysis of Allen
and colleagues by closely examining
the association between democracy
and implementation of
non-communicable disease policy.
First, we expanded Allen
and colleagues’ analysis of the
association between the Economist
Intelligence Unit measure of
democracy and implementation of
non-communicable disease policy
to include data for both 2015 and
2017 and for 144 to 149 countries,
depending on the democracy
indicator. Allen and colleagues used
2017 data for 144 countries. Second,
we considered three additional
democracy indicators produced by
the Varieties of Democracy project,
Freedom House, and the World Bank.
The Economist Intelligence Unit
democracy indicator, which Allen
and colleagues use, relies heavily
on polling data. Little empirical
support exists for the claim that
ordinary citizens can assess their own
political institutions in a way that
is temporally and cross-nationally
comparable.
3By contrast, the Varieties
of Democracy project relies on
multiple country experts and uses a
sophisticated strategy to correct for
potential sources of error and bias.
4We found that all four democracy
indices are positively associated with
implementation; although only three
of the four are significant (figure).
Third, we compared countries’
adoption of WHO’s best buy
non-communicable disease policies in 2017,
finding autocracies only outperform
Figure: Association between democracy and implementation of non-communicable disease policy
(A) Regression results for non-communicable disease policy implementation and four democracy indices for the years 2015 and 2017. We did separate random-effects regressions for each democracy index. The dependent variable is implementation of non-communicable disease policy, measured as an aggregate score ranging from 0 (no policies implemented) to 18 (all policies fully implemented). Squares are point estimates, with whiskers showing 95% CIs. The following time-varying independent variables were included in the regressions, but are not included in the figure (available on request from corresponding author): GDP per capita, female educational attainment at age 15 years, risk of premature mortality from non-communicable diseases, tax share in GDP. The following time-invariant independent variables were included in the regressions, but are not included in the figure (available on request from corresponding author): continent, legal origin, tropical climate, average distance to nearest ice-free coast, and oil endowment. (B) Proportion of countries not implementing each non-communicable disease policy by regime type for 2017. No
implementation means neither partial nor full policy implementation. The implementation data is drawn from WHO Noncommunicable Disease Progress Monitor for 2017. We classified regimes using V-Dem’s regimes of the world index. There are 64 autocracies and 87 democracies covered by the WHOProgress Monitor. EIU= Economist Intelligence Unit. FH=Freedom House. GDP=gross domestic product. V-Dem=Varieties of Democracy. WB=the World Bank
Autocracies Democracies Multiplicative Polyarchy Index
(V-Dem) Political and Civil Liberties Index (FH) Voice and Accountability Index (WB) Democracy Index (EIU)
Tobacco tax Tobacco mass media Tobacco advertising bans Smoke-free places Salt policies Risk factor surveys Physical activity mass media National action plan National non-communicable disease targets Mortality data Graphic warnings on cigarette labels Fat policies Clinical guidelines Child food marketing Cardiovascular therapies Breastmilk code Alcohol tax Alcohol sale restrictions Alcohol advertising ban
0
A
B
2 4 6 Coefficient (95% CI) 0 20 40 60 80Proportion of countries that did not implement policies (%) p=0·0039
p=0·014 p=0·0031
p=0·066
For WHO Noncommunicable
Disease Progress Monitor 2017
see https://www.who.int/nmh/ publications/ncd-progress-monitor-2017/en/
Correspondence
e483 www.thelancet.com/lancetgh Vol 8 April 2020
3 Coppedge M, Gerring J, Lindberg SI, Skaaning S-E, Teorell J. V-Dem comparisons and contrasts with other measurement projects. Working Paper 45. Gothenburg: University of Gothenburg Department of Political Science, April, 2017: 9. 4 Coppedge M, Gerring J, Knutsen CH, et al.
V-Dem dataset - version 9. Varieties of Democracy (V-Dem) Project, 2019. https://www.v-dem.net/en/data/data-version-9/ (accessed Feb 3, 2020). 5 Sen A. Development as freedom. New York,
NY: Anchor Books, 1999: 180–81.
democracies for four of the 19 policy
indicators (figure). Allen and colleagues
hypothesised that autocracies are more
likely to implement health policies that
restrict personal freedoms or reduce
commercial profits than democracies
are. This hypothesis proves true
for bans on alcohol and tobacco
advertising, which some governments
consider a form of speech. Democracies
slightly outperform autocracies
on smoke-free public places and
are more likely to tax tobacco and
alcohol, require graphic warnings on
cigarette labels, restrict the marketing
of unhealthy foods to children, and
have pro-health policies on breastmilk
substitutes, promoting physical
activity, and reformulating food to
reduce trans fatty acids and sodium.
4Our results are in accordance with
the literature showing autocratic
leaders have less incentive than their
democratic counterparts to invest in
the policies needed to reduce
non-communicable diseases.
5Democracy
is often messy, but remains better
than the alternatives at addressing the
health challenges that are confronting
most nations.
We declare no competing interests. SW, JLD, TT, and TJB coauthored the manuscript. SW did the quantitative analysis. SK provided editing support. Copyright © 2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.
*Simon Wigley, Joseph L Dieleman,
Tara Templin, Samantha Kiernan,
Thomas J Bollyky
wigley@bilkent.edu.tr
Bilkent University, Ankara, Turkey (SW); Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA (JLD); Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA, USA (TT); and Council on Foreign Relations, Washington, DC, USA (SK, TJB)
1 Allen LN, Nicholson BD, Yeung BYT, Goiana-da-Silva F. Implementation of non-communicable disease policies: a geopolitical analysis of 151 countries. Lancet Glob Health 2020; 8: e50–58.
2 Bollyky TJ, Templin T, Cohen M, Schoder D, Dieleman JL, Wigley S. The relationships between democratic experience, adult health, and cause-specific mortality in 170 countries between 1980 and 2016: an observational analysis. Lancet 2019; 393: 1628–40.