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This research aims to better understand the association of personality traits (PT)-Openness to Experience, Conscientiousness, Extraversion, Agreeableness, and Neuroticism-with health literacy (HL) skills of adults aged 58 years and older in a nationally representative sample from Switzerland. Analyses were conducted on a subsample (n = 1546) of respondents living in Switzerland from wave 8 (2019/2020) of the Survey of Health, Ageing, and Retirement in Europe (SHARE). PT were assessed with the Big-Five inventory ten (BFI-10). HL was measured using the short version of the European Health Literacy Survey questionnaire (HLS-EU-Q16). We used multivariable regressions to explore how respondents' PT are independently associated with (1) the HLS-EU-Q16 and (2) seven sub-indices derived from this HL scale. Results demonstrated that even when controlling for social, regional, and health characteristics, PT were significantly associated with HL among older adults in Switzerland. More open individuals showed better HL competencies. By contrast, individuals who scored higher on neuroticism expressed more difficulties regarding concrete health-relevant tasks or situations. These findings call for public health policies targeting older adults with lower levels of openness who are less likely to engage in self-examination, and individuals with higher levels of neuroticism who tend to experience more negative emotions. Moreover, health information and communication strategies content development that accounts for different personality types and addresses the needs of individuals with low levels of openness and high neuroticism may help improve HL among older adults whose personalities may otherwise put them at a disadvantage in handling health information.
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As a major socio-historical event affecting different aspects of life, the COVID-19 pandemic presents a unique opportunity to study how different population groups adapt. We investigate the impact of this crisis on the evolution of perceived stress in the short and medium term in Switzerland, using data of the Swiss Household Panel from 2016 to early 2021, which include annual measures of perceived stress and a study between waves, conducted in May and June 2020 at the end of the first semi-lockdown. Using the longitudinal structure of the data with pre-crisis measurements, we estimate pooled OLS, fixed effects and first difference models, which include socio-demographic variables, life events, socio-economic status, work-related variables, stress-reducing resources and restrictions in place. Results for the overall population show a continuous increase in stress levels between 2016 and 2019 and a stress reduction right after the first semi-lockdown followed by a return to pre-pandemic levels. Privileged groups with higher levels of stress before the pandemic were most likely to reduce perceived stress. Characteristics related to more favourable trajectories include stable or improved financial situations and high levels of education (short-term effects), and high-pressure jobs and working hours (short- and medium-term effects). Our analyses reveal the importance of resources, such as social relations and work-life balance, to individuals' management of the effects of the pandemic. Our results show that the effects of the pandemic on perceived stress are context-specific. They underline the importance of longitudinal analyses to understand the complexity of vulnerability and adaptation processes.
Asunto(s)
COVID-19 , Humanos , COVID-19/epidemiología , Suiza/epidemiología , Control de Enfermedades Transmisibles , Pandemias , Estrés Psicológico/epidemiologíaRESUMEN
Appraisal theory of emotion predicts that appraisal biases may generate stable emotion dispositions, which can ultimately lead to affective disorders. One example is the habitual underestimation of one's potential to cope with adverse events, which favors frequent experiences of sadness and worry and therefore increases the risk for development of depression and generalized anxiety disorders. To examine the relationships between these variables as potential risk factors, in Study 1, we used appraisal and emotion questions in the Swiss Household Panel (SHP), a nationwide representative sample, and analyzed data for N = 4,859 participants in one annual survey wave (Wave 14, SHP 2012) via theory-based hierarchical regressions. Path analysis of the nomological network linking frequent experiences of depression and anxiety to the emotion dispositions of sadness and worry, and measures of perceived coping potential (appraisal bias) supports the theoretical predictions and further identifies the effects of important background variables such as personality, motivation, and life events. Discriminant analysis shows that these predictors allow correct classification of close to 70% of the participants with elevated risk. In Study 2, we used established validated instruments to assess the risk for depression and anxiety disorders, as well as a recently validated scenario method to assess appraisal bias and emotion disposition in a survey with N = 152 students. The results correspond to the theoretical predictions and largely confirm the findings with the household survey. The results of both studies demonstrate the utility of using current emotion theory to provide new vistas for research on risk factors for affective disorders and to inform the development of appropriate interventions to reduce the level of risk.
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How do changes in employment uncertainty matter for fertility? Empirical studies on the impact of employment uncertainty on reproductive decision-making offer a variety of conclusions, ranging from gender and socio-economic differences in the effect of employment uncertainty on fertility intentions and behaviour, to the effect of employment on changes in fertility intentions. This article analyses the association between a change in subjective employment uncertainty and fertility intentions and behaviour by distinguishing male and female partners' employment uncertainty, and examines the variation in these associations by education. Using a sample of men and women living in a couple from the Swiss Household Panel (SHP 2002-2011), we examine through multinomial analysis how changes in employment uncertainty and selected socio-demographic factors are related to individual childbearing decisions. Our results show strong gendered effects of changes in employment uncertainty on the revision of reproductive decisions among the highly educated population.