Individuals need greater climate change awareness in order to mitigate and adapt to climate changes but this awareness can lead to negative health outcomes including climate change anxiety.
To explore the associations between climate change anxiety, idiopathic environmental intolerances and somatic symptom distress, after accounting for modern health worries, anxiety and depression.
A non-representative sample of healthy volunteers completed a cross-sectional online survey that included the Climate Change Anxiety scale (CCA-13), single questions about idiopathic intolerance to five environmental agents, the Somatic Symptoms scale (SSS-8), the Modern Health Worries scale (MHW-12), and the Patient Health Questionnaire for symptoms of anxiety and depression (PHQ-4). Participants also reported their sex, age and subjective socioeconomic status. Bivariate analyses investigated associations between variables and path analyses explored potential mediating factors.
432 participants completed the questionnaire, 421 of whom were included in analyses (67 % women, mean age: 32.7 standard deviation: 12.4). Climate change anxiety, idiopathic environmental intolerances, somatic symptom distress, modern health worries, and symptoms of anxiety and depression were positively correlated in bivariate analyses (Pearson's ranging from 0.22 to 0.57, all p < 0.001). In path analyses, modern health worries (R2 = 9.9 %) partially mediated the relation between climate change anxiety (R2 = 20.3 %) and two correlated outcome variables, idiopathic environmental intolerances (R2 = 36.8 %) and somatic symptom distress (R2 = 32.4 %).
Climate change anxiety may negatively affect perceived physical health. Stakeholders should aim at promoting climate change awareness while addressing modern health worries to avoid negative health outcomes.
Though the association between peripheral neurophysiological biomarkers and psychological conditions is widely discussed, there is still limited evidence about the ability of peripheral biomarkers to predict psychological outcomes, especially among geriatric populations.
The study is designed as a prospective cohort study. We collected information from participants aged over 55 years. The participants were evaluated at the start of the study (T0) and 6–9 months later (T1). Information about demographic profiles, peripheral neurophysiological biomarker recordings (including heart rate variability, finger temperature, skin conductance, and electromyogram), and psychological measurements (including Brief Symptom Rating Scale-5, Chinese Happiness Inventory, and Short Portable Mental Status Questionnaire) were collected at T0. At T1, participants reported self-rated questionnaires for psychological outcomes (Patient Health Questionnaire-15, health anxiety questionnaire, Beck Depression Inventory-II, and Beck Anxiety Inventory) and were evaluated with Mini-Mental State Examination by the staff. The association between the peripheral biomarkers and psychological outcomes was evaluated via multiple regression models.
A total of 385 participants were included in the study and the average age was 74.49 ± 7.34 years. Both stepwise multiple linear and logistic models showed a significant association between decreased skin conductance and increased/presence of depression at T1. The receiver operating characteristic (ROC) curve analysis of skin conductance for depression was fair (area under curve = 0.812).
The ability of skin conductance to predict depression among geriatric populations may facilitate the detection of geriatric depression and future research on the pathophysiology.