The perceived impact of the 2016 election: A mediation model predicting health outcomes

Koerten, Hannah R.; Bogusch, Leah M.; Varga, Aniko Viktoria; O’Brien, William H.

doi:10.5964/jspp.v7i1.1065

Cited by 3 publications

(2 citation statements)

References 32 publications

(32 reference statements)

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“…Few studies have examined the potential impact of politics on employee outcomes. For example, in a study of adult participants recruited from Mturk, Koerten et al (2019) reported that the perceived personal impact of the 2016 Presidential election results was negatively associated with both the mental and physical health, and that this relationship was partially mediated by thought suppression. Another article, by Beck and Shen (2019), also examined the effects of the 2016 Presidential election results on worker engagement and found that Democrats (who lost the election) experienced lower levels of engagement immediately following the election while Republicans (who won the election) did not.…”

Section: Current Research On Political Affiliations and Organizationsmentioning

confidence: 99%

Political affiliation dissimilarity: Exploring lone affiliate employees' work attitudes and experiences

Henderson

Jeong

2021

Stress and Health

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Political affiliation is an important demographic variable that has been relatively neglected in the organizational literature. At present, it is unclear how political dissimilarity between employees and their coworkers affects employees' attitudes and experiences, and whether traditional theories are applicable to this unique form of diversity. Based on time‐lagged data from a sample of working Americans (N = 360), we found that lone affiliates (employees who work with coworkers who do not share the same political affiliation) experienced lower levels of positive attitudes than majority affiliates (employees who work with coworkers who do share the same political affiliation). Specifically, in Republican majority organizations, Democrats had lower job satisfaction and affective commitment compared to Republicans. This difference was not found in Democrat majority organizations. Interestingly, these trends were not found for negative experiences, such as incivility from coworkers and depletion. Unaffiliated employees had a unique set of attitudes and experiences in that they suffered the most in organizations with no clear affiliation. Theoretical and practical implications, limitations, and future directions are also discussed.

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Section: Current Research On Political Affiliations and Organizationsmentioning

confidence: 99%

Political affiliation dissimilarity: Exploring lone affiliate employees' work attitudes and experiences

Henderson

Jeong

2021

Stress and Health

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“…An increase in emotional reactivity may be particularly apparent in the days directly following an election (Neupert et al, 2021 ). Furthermore, those who report higher levels of perceived negative impact based on an election are more likely to report lower levels of physical and mental health (Koerten et al, 2019 ). Understanding the interconnectedness of democratic engagement and daily stressor exposure is imperative when considering elections in relation to well-being and how these stress processes may unfold within a person over time.…”

Section: Introductionmentioning

confidence: 99%

Age, education, and political involvement differences in daily election-related stress

2022

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Stress in daily life is rather common, but elections can present unique challenges. Evaluating the impact of individual characteristics, behaviors, and political beliefs on stress processes is imperative to understanding how elections influence psychological well-being. Exploring how these individual and behavioral characteristics interacted to predict exposure to election-related stressors, we hypothesized that age, education, and past socio-political involvement would be associated with exposure to election-related stressors. In the 2018 U.S. Midterm Election Stress Coping and Prevention Every Day (ESCAPED) study, 140 participants in the United States and territories aged 19–86 were recruited through Amazon’s Mechanical Turk for a 30-day daily diary study. Collectively, participants completed a total of 1196 reports between October 15, 2018 and November 13, 2018. The midterm election was November 6, 2018. Each day, participants reported on past political participation, election stress anticipation, and exposure to election-related stressors. Confirming our hypothesis, on days when people were more politically active and on days when stress anticipation increased, exposure to election-related stressors increased. Age differences in exposure depended on political activity in the last 24 h, with older adults exhibiting a steeper increase in exposure following political activity, especially if they were highly educated. However, higher education was protective against election-related stressors among younger adults even with increases in political activity. Individuals’ experiences, characteristics, and daily decisions influence the likelihood of exposure to election-related stressors. Additionally, for younger adults, education may function as a protective factor when they engage in political activities.

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Mental health and the ballot box: A correlational analysis of Google searches for mental health and national election periods in the United States and the United Kingdom from 2008 to 2020

Smith,

Graña,

Alibudbud

et al. 2024

Int J Soc Psychiatry

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Background: In electoral contexts, mental health topics have recently attracted sociopolitical relevance, influenced by policy developments, election-related psychopathology and popular discourse about individual candidates. Yet, whether this reflects generalised trends or is contingent on election-specific and contextual factors remains difficult to ascertain. Aims: This study sought to examine correlations between Google Trends (GT) data on mental health and four national elections in the US and the UK from 2008 to 2020. This was intended to yield preliminary insights into the relevance of mental health topics amongst voters and the potential impact of electoral cycles on patterns of online engagement with these issues. Methods: Monthly and daily Search Volume Indexes (SVI) were gathered from the ‘Mental Health’ category on GT in the US and UK from 2008 to 2023. SVI were evaluated around the past four national ballots, comparing election-year intervals and baseline data from the preceding year. Statistical tests were conducted to assess SVI and short- and long-term dynamics. Findings: The results showed heterogeneous SVI patterns related to mental health during elections in the US and the UK. In the US, there were statistically significant SVI increases proximal to the majority of elections as compared to data in the same calendar year, but these did not typically exceed baseline SVI. However, interestingly, divisive US contests showed correlations with several elevated SVI measures in the same and previous years. Conversely, there was a lack of consistent longitudinal trends in UK elections, perhaps informed by its disparate sociopolitical landscape. Conclusions: These findings underline the composite relationship between electoral politics and popular engagement with mental health topics around national votes, suggesting that this is driven more by situational factors rather than a recurrent electoral effect or signs of burgeoning engagement. Detailed research is required to understand the nuances and causality behind these dynamics and their wider implications.

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The perceived impact of the 2016 election: A mediation model predicting health outcomes

Cited by 3 publications

References 32 publications

Political affiliation dissimilarity: Exploring lone affiliate employees' work attitudes and experiences

Political affiliation dissimilarity: Exploring lone affiliate employees' work attitudes and experiences

Age, education, and political involvement differences in daily election-related stress

Mental health and the ballot box: A correlational analysis of Google searches for mental health and national election periods in the United States and the United Kingdom from 2008 to 2020

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