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Full-Text Articles in Medicine and Health Sciences

Selection Homophily And Peer Influence For Adolescents’ Smoking And Vaping Norms And Outcomes In High And Middle-Income Settings, Jennifer M. Murray, Sharon Sánchez-Franco, Olga L. Sarmiento, Erik O. Kimbrough, Christopher Tate, Shannon C. Montgomery, Rajnish Kumar, Laura Dunne, Abhijit Ramalingam, Erin L. Krupka, Felipe Montes, Huiyu Zhou, Laurence Moore, Linda Bauld, Blanca Llorente, Frank Kee, Ruth F. Hunter Sep 2023

Selection Homophily And Peer Influence For Adolescents’ Smoking And Vaping Norms And Outcomes In High And Middle-Income Settings, Jennifer M. Murray, Sharon Sánchez-Franco, Olga L. Sarmiento, Erik O. Kimbrough, Christopher Tate, Shannon C. Montgomery, Rajnish Kumar, Laura Dunne, Abhijit Ramalingam, Erin L. Krupka, Felipe Montes, Huiyu Zhou, Laurence Moore, Linda Bauld, Blanca Llorente, Frank Kee, Ruth F. Hunter

Economics Faculty Articles and Research

The MECHANISMS study investigates how social norms for adolescent smoking and vaping are transmitted through school friendship networks, and is the first study to use behavioral economics methodology to assess smoking-related social norms. Here, we investigate the effects of selection homophily (the tendency to form friendships with similar peers) and peer influence (a social process whereby an individual’s behavior or attitudes are affected by peers acting as reference points for the individual) on experimentally measured smoking and vaping norms, and other smoking outcomes, in adolescents from high and middle-income settings. Full school year groups in six secondary schools in Northern …


The Impact Of Vaccinations And Chronic Disease On Covid Death Rates, James L. Doti Aug 2023

The Impact Of Vaccinations And Chronic Disease On Covid Death Rates, James L. Doti

Economics Faculty Articles and Research

This study presents a theoretical and empirical regression model to measure the efficacy of vaccinations in reducing COVID death rates across states over the 3/10/21 to 12/28/22 period. During that period, it was estimated that the availability of vaccinations resulted in a reduction of 427,000 COVID deaths in the nation. To arrive at that estimate, other covariants were held constant. In particular, it was found that chronic disease should be included as an explanatory variable to arrive at unbiased measures of the efficacy of vaccinations in reducing deaths. In addition, the percentage of people over the age of 65 was …


Examining The Impact Of Socioeconomic Variables On Covid-19 Death Rates At The State Level, James L. Doti Mar 2021

Examining The Impact Of Socioeconomic Variables On Covid-19 Death Rates At The State Level, James L. Doti

Economics Faculty Articles and Research

This study uses a step-wise regression model to identify the socioeconomic variables most significant in explaining COVID-19 death rates on a state-level basis. The regression tests cover the 1/1/2020 to 12/1/2020 period as well as the first and second halves of 2020. This study also uses the Oxford stringency index to measure more precisely the efficacy of governmental mandates at the state level. The results in this study rigorously showed that while the density variables were the most significant explanatory variables during the first half of the year, their significance fell during the second half. Use of the Oxford stringency …


A Model To Explain Statewide Differences In Covid-19 Death Rates, James L. Doti Oct 2020

A Model To Explain Statewide Differences In Covid-19 Death Rates, James L. Doti

Economics Faculty Articles and Research

COVID-19 death rates per 100,000 vary widely across the nation. As of September 1, 2020, they range from a low of 4 in Hawaii to a high of 179 in New Jersey. Although academic research has been conducted at the county and metropolitan levels, no research has rigorously examined or identified the demographic and socioeconomic forces that explain state-level differences. This study presents an empirical model and the results of regression tests that help identify these forces and shed light on the role they play in explaining COVID-19 deaths.

A stepwise regression model we tested exhibits a high degree of …


Mechanisms Study: Using Game Theory To Assess The Effects Of Social Norms And Social Networks On Adolescent Smoking In Schools—Study Protocol, Ruth F. Hunter, Felipe Montes, Jennifer M. Murray, Sharon C. Sanchez-Franco, Shannon C. Montgomery, Joaquín Jaramillo, Christopher Tate, Rajnish Kumar, Laura Dunne, Abhijit Ramalingam, Erik O. Kimbrough, Erin Krupka, Huiyu Zhou, Laurence Moore, Linda Bauld, Blanca Llorente, Olga L. Sarmiento, Frank Kee Aug 2020

Mechanisms Study: Using Game Theory To Assess The Effects Of Social Norms And Social Networks On Adolescent Smoking In Schools—Study Protocol, Ruth F. Hunter, Felipe Montes, Jennifer M. Murray, Sharon C. Sanchez-Franco, Shannon C. Montgomery, Joaquín Jaramillo, Christopher Tate, Rajnish Kumar, Laura Dunne, Abhijit Ramalingam, Erik O. Kimbrough, Erin Krupka, Huiyu Zhou, Laurence Moore, Linda Bauld, Blanca Llorente, Olga L. Sarmiento, Frank Kee

Economics Faculty Articles and Research

This proof of concept study harnesses novel transdisciplinary insights to contrast two school-based smoking prevention interventions among adolescents in the UK and Colombia. We compare schools in these locations because smoking rates and norms are different, in order to better understand social norms based mechanisms of action related to smoking. We aim to: (1) improve the measurement of social norms for smoking behaviors in adolescents and reveal how they spread in schools; (2) to better characterize the mechanisms of action of smoking prevention interventions in schools, learning lessons for future intervention research. The A Stop Smoking in Schools Trial (ASSIST) …


Differences In Tsimane Children’S Growth Outcomes And Associated Determinants As Estimated By Who Standards Vs. Within-Population References, Melanie Martin, Aaron Blackwell, Hillard Kaplan, Michael Gurven Apr 2019

Differences In Tsimane Children’S Growth Outcomes And Associated Determinants As Estimated By Who Standards Vs. Within-Population References, Melanie Martin, Aaron Blackwell, Hillard Kaplan, Michael Gurven

Economics Faculty Articles and Research

Anthropometric measures are commonly converted to age stratified z-scores to examine variation in growth outcomes in mixed-age and sex samples. For many study populations, z-scores will differ if calculated from World Health Organization (WHO) growth standards or within-population references. The specific growth reference used may influence statistical estimates of growth outcomes and their determinants, with implications for biological inference. We examined factors associated with growth outcomes in a sample of 152 Tsimane children aged 0–36 months. The Tsimane are a subsistence-scale population in the Bolivian Amazon with high rates of infectious disease and growth faltering. To examine the influence of …


Historical Health Conditions In Major Us Cities: The Hue Data Set, Carlos Villareal, Brian Bettenhausen, Eric Hanss, Jonathan Hersh Apr 2014

Historical Health Conditions In Major Us Cities: The Hue Data Set, Carlos Villareal, Brian Bettenhausen, Eric Hanss, Jonathan Hersh

Economics Faculty Articles and Research

The Historical Urban Ecological data set is a new resource detailing health and environmental conditions within seven major U.S. cities during the study period from 1830 to 1930. Researchers collected and digitized ward-level data from annual reports of municipal departments that detail the epidemiological, economic, and demographic conditions within each city. They then drafted new geographic information system data to link the tabular records to ward geographies. These data provide a new foundation to revisit questions surrounding the urban mortality transition and the growth of U.S. cities.