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The effect of peers on HIV infection expectations among Malawian adolescents: Using an instrumental variables/school fixed effect approach.

ABSTRACT: Malawian adolescents overestimate their HIV infection risk. Understanding why they do so is important since such overestimation is likely to be linked to later-life outcomes. This study focuses on the influence peers have on HIV infection expectations. I use novel school-based survey data collected in Malawi between October 2011 and March 2012 (n = 7910), which has more reliable measures of peers' HIV infection expectations than other studies. I employ a combined instrumental variables/fixed effects methodology designed to addresses several methodological challenges in estimating peer effects, including self-selection of friends, the issue of unobserved environmental confounders, and the bi-directionality of peer effects. Several tests are conducted in order to assess the robustness of the specifications. Results suggest that a one-percentage-point increase in the mean probabilistic expectation of HIV infection among peers increases an adolescent's own subjective expectation of infection by an average of 0.65 percentage points. This paper shows that peer influence is greater for males than for females. Results also suggest that the peer effects on HIV infection expectations are only statistically significant among those lacking more complete knowledge of HIV/AIDS.

SUBMITTER: Kim J

PROVIDER: S-EPMC4762268 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature

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The effect of peers on HIV infection expectations among Malawian adolescents: Using an instrumental variables/school fixed effect approach.

Kim Jinho J

Social science & medicine (1982) 20160126

Malawian adolescents overestimate their HIV infection risk. Understanding why they do so is important since such overestimation is likely to be linked to later-life outcomes. This study focuses on the influence peers have on HIV infection expectations. I use novel school-based survey data collected in Malawi between October 2011 and March 2012 (n = 7910), which has more reliable measures of peers' HIV infection expectations than other studies. I employ a combined instrumental variables/fixed eff ...[more]

PMID: 26840771

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Project description:BACKGROUND:The use of social media as a key health information source has increased steadily among people affected by eating disorders (EDs). Research has examined characteristics of individuals engaging in online communities, whereas little is known about discontinuation of engagement and the phenomenon of participants dropping out of these communities. OBJECTIVE:This study aimed to investigate the characteristics of dropout behaviors among eating disordered individuals on Twitter and to estimate the causal effects of personal emotions and social networks on dropout behaviors. METHODS:Using a snowball sampling method, we collected a set of individuals who self-identified with EDs in their Twitter profile descriptions, as well as their tweets and social networks, leading to 241,243,043 tweets from 208,063 users. Individuals' emotions are measured from their language use in tweets using an automatic sentiment analysis tool, and network centralities are measured from users' following networks. Dropout statuses of users are observed in a follow-up period 1.5 years later (from February 11, 2016 to August 17, 2017). Linear and survival regression instrumental variables models are used to estimate the effects of emotions and network centrality on dropout behaviors. The average levels of attributes among an individual's followees (ie, people who are followed by the individual) are used as instruments for the individual's attributes. RESULTS:Eating disordered users have relatively short periods of activity on Twitter with one half of our sample dropping out at 6 months after account creation. Active users show more negative emotions and higher network centralities than dropped-out users. Active users tend to connect to other active users, whereas dropped-out users tend to cluster together. Estimation results suggest that users' emotions and network centralities have causal effects on their dropout behaviors on Twitter. More specifically, users with positive emotions are more likely to drop out and have shorter lasting periods of activity online than users with negative emotions, whereas central users in a social network have longer lasting participation than peripheral users. Findings on users' tweeting interests further show that users who attempt to recover from EDs are more likely to drop out than those who promote EDs as a lifestyle choice. CONCLUSIONS:Presence in online communities is strongly determined by the individual's emotions and social networks, suggesting that studies analyzing and trying to draw condition and population characteristics through online health communities are likely to be biased. Future research needs to examine in more detail the links between individual characteristics and participation patterns if better understanding of the entire population is to be achieved. At the same time, such attrition dynamics need to be acknowledged and controlled when designing online interventions so as to accurately capture their intended populations.

Dataset Information

The effect of peers on HIV infection expectations among Malawian adolescents: Using an instrumental variables/school fixed effect approach.

Publications

The effect of peers on HIV infection expectations among Malawian adolescents: Using an instrumental variables/school fixed effect approach.

Similar Datasets

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