Thursday, August 30, 2012

[EQ] Socioeconomic Inequality in Smoking in Low-Income and Middle-Income Countries

Socioeconomic Inequality in Smoking in Low-Income and Middle-Income Countries:
Results from the World Health Survey

Hosseinpoor AR, Parker LA, Tursan d'Espaignet E, Chatterji S (2012)

PLoS ONE 7(8): e42843. doi:10.1371/journal.pone.0042843 – August 29, 2012

Available online at: http://bit.ly/Q4o4gu  

“…….To assess the magnitude and pattern of socioeconomic inequality in current smoking in low and middle income countries.

Methods

We used data from the World Health Survey [WHS] in 48 low-income and middle-income countries to estimate the crude prevalence of current smoking according to household wealth quintile. A Poisson regression model with a robust variance was used to generate the Relative Index of Inequality [RII] according to wealth within each of the countries studied.

Results

In males, smoking was disproportionately prevalent in the poor in the majority of countries. In numerous countries the poorest men were over 2.5 times more likely to smoke than the richest men. Socioeconomic inequality in women was more varied showing patterns of both pro-rich and pro-poor inequality. In 20 countries pro-rich relative socioeconomic inequality was statistically significant: the poorest women had a higher prevalence of smoking compared to the richest women. Conversely, in 9 countries women in the richest population groups had a statistically significant greater risk of smoking compared to the poorest groups.

Conclusion

Both the pattern and magnitude of relative inequality may vary greatly between countries. Prevention measures should address the specific pattern of smoking inequality observed within a population……”



KMC/2012/SDE
Twitter
http://twitter.com/eqpaho

 *      *     *
This message from the Pan American Health Organization, PAHO/WHO, is part of an effort to disseminate
information Related to: Equity; Health inequality; Socioeconomic inequality in health; Socioeconomic
health differentials; Gender; Violence; Poverty; Health Economics; Health Legislation; Ethnicity; Ethics;
Information Technology - Virtual libraries; Research & Science issues.  [DD/ KMC Area]
Washington DC USA

“Materials provided in this electronic list are provided "as is". Unless expressly stated otherwise, the findings
and interpretations included in the Materials are those of the authors and not necessarily of The Pan American
Health Organization PAHO/WHO or its country members”.
------------------------------------------------------------------------------------
PAHO/WHO Website
Equity List - Archives - Join/remove: http://listserv.paho.org/Archives/equidad.html
Twitter http://twitter.com/eqpaho


IMPORTANT: This transmission is for use by the intended
recipient and it may contain privileged, proprietary or
confidential information. If you are not the intended
recipient or a person responsible for delivering this
transmission to the intended recipient, you may not
disclose, copy or distribute this transmission or take
any action in reliance on it. If you received this transmission
in error, please dispose of and delete this transmission.

Thank you.

[EQ] Social network analysis and agent-based modeling in social epidemiology

Social network analysis and agent-based modeling in social epidemiology

Abdulrahman M El-Sayed 1,2,3*, Peter Scarborough 1, Lars Seemann 4 and Sandro Galea 2


1 Department of Public Health, University of Oxford, Oxford, UK

2 Department of Epidemiology, Columbia University, New York, NY, USA

3 College of Physicians and Surgeons, Columbia University, New York, NY, USA

4 Department of Physics, University of Houston, Houston, TX, USA


Epidemiologic Perspectives & Innovations 2012, 9:1 doi:10.1186/1742-5573-9-1

Website: http://bit.ly/Oy7aqO

“……The past five years have seen a growth in the interest in systems approaches in epidemiologic research. These approaches may be particularly appropriate for social epidemiology.

 

Social network analysis and agent-based models (ABMs) are two approaches that have been used in the epidemiologic literature. Social network analysis involves the characterization of social networks to yield inference about how network structures may influence risk exposures among those in the network. ABMs can promote population-level inference from explicitly programmed, micro-level rules in simulated populations over time and space.

 

In this paper, we discuss the implementation of these models in social epidemiologic research, highlighting the strengths and weaknesses of each approach. Network analysis may be ideal for understanding social contagion, as well as the influences of social interaction on population health. However, network analysis requires network data, which may sacrifice generalizability, and causal inference from current network analytic methods is limited. ABMs are uniquely suited for the assessment of health determinants at multiple levels of influence that may couple with social interaction to produce population health. ABMs allow for the exploration of feedback and reciprocity between exposures and outcomes in the etiology of complex diseases. They may also provide the opportunity for counterfactual simulation.

 

However, appropriate implementation of ABMs requires a balance between mechanistic rigor and model parsimony, and the precision of output from complex models is limited. Social network and agent-based approaches are promising in social epidemiology, but continued development of each approach is needed…..”

 

 

 

KMC/2012/SDE
Twitter
http://twitter.com/eqpaho

 *      *     *
This message from the Pan American Health Organization, PAHO/WHO, is part of an effort to disseminate
information Related to: Equity; Health inequality; Socioeconomic inequality in health; Socioeconomic
health differentials; Gender; Violence; Poverty; Health Economics; Health Legislation; Ethnicity; Ethics;
Information Technology - Virtual libraries; Research & Science issues.  [DD/ KMC Area]
Washington DC USA

“Materials provided in this electronic list are provided "as is". Unless expressly stated otherwise, the findings
and interpretations included in the Materials are those of the authors and not necessarily of The Pan American
Health Organization PAHO/WHO or its country members”.
------------------------------------------------------------------------------------
PAHO/WHO Website
Equity List - Archives - Join/remove: http://listserv.paho.org/Archives/equidad.html
Twitter http://twitter.com/eqpaho



IMPORTANT: This transmission is for use by the intended
recipient and it may contain privileged, proprietary or
confidential information. If you are not the intended
recipient or a person responsible for delivering this
transmission to the intended recipient, you may not
disclose, copy or distribute this transmission or take
any action in reliance on it. If you received this transmission
in error, please dispose of and delete this transmission.

Thank you.