Fear in general populations: A cross-sectional study on perceived fear of common diseases, COVID-19, life events, and environmental threats in 30 countries.

Background: In this study, we assessed the general population's fears towards various diseases and events, aiming to inform public health strategies that balance health-seeking behaviours. Methods: We surveyed adults from 30 countries across all World Health Organization (WHO) regions between July 2020 and August 2021. Participants rated their fear of 11 factors on an 11-point Likert scale. We stratified the data by age and gender and examined variations across countries and regions through multidimensional preference analysis. Results: Of the 16 512 adult participants, 62.7% (n = 10 351) were women. The most feared factor was the loss of family members, reported by 4232 participants (25.9%), followed by cancer (n = 2248, 13.7%) and stroke (n = 1416, 8.7%). The highest weighted fear scores were for loss of family members (mean (x̄) = 7.46, standard deviation (SD) = 3.04), cancer (x̄ = 7.00, SD = 3.09), and stroke (x̄ = 6.61, SD = 3.24). The least feared factors included animals/insects (x̄ = 3.72, SD = 2.96), loss of a mobile phone (x̄ = 4.27, SD = 2.98), and social isolation (x̄ = 4.83, SD = 3.13). Coronavirus disease 2019 (COVID-19) was the sixth most feared factor (x̄ = 6.23, SD = 2.92). Multidimensional preference analyses showed distinct fears of COVID-19 and job loss in Australia and Burundi. The other countries primarily feared loss of family members, cancer, stroke, and heart attacks; this ranking was consistent across WHO regions, economic levels, and COVID-19 severity levels. Conclusions: Fear of family loss can improve public health messaging, highlighting the need for bereavement support and the prevention of early death-causing diseases. Addressing cancer fears is crucial to encouraging the use of preventive services. Fear of non-communicable diseases remains high during health emergencies. Top fears require more resources and countries with similar concerns should collaborate internationally for effective fear management.

Key lifestyles and health outcomes across 16 prevalent chronic diseases: A network analysis of an international observational study.

Background: Central and bridge nodes can drive significant overall improvements within their respective networks. We aimed to identify them in 16 prevalent chronic diseases during the coronavirus disease 2019 (COVID-19) pandemic to guide effective intervention strategies and appropriate resource allocation for most significant holistic lifestyle and health improvements. Methods: We surveyed 16 512 adults from July 2020 to August 2021 in 30 territories. Participants self-reported their medical histories and the perceived impact of COVID-19 on 18 lifestyle factors and 13 health outcomes. For each disease subgroup, we generated lifestyle, health outcome, and bridge networks. Variables with the highest centrality indices in each were identified central or bridge. We validated these networks using nonparametric and case-dropping subset bootstrapping and confirmed central and bridge variables' significantly higher indices through a centrality difference test. Findings: Among the 48 networks, 44 were validated (all correlation-stability coefficients >0.25). Six central lifestyle factors were identified: less consumption of snacks (for the chronic disease: anxiety), less sugary drinks (cancer, gastric ulcer, hypertension, insomnia, and pre-diabetes), less smoking tobacco (chronic obstructive pulmonary disease), frequency of exercise (depression and fatty liver disease), duration of exercise (irritable bowel syndrome), and overall amount of exercise (autoimmune disease, diabetes, eczema, heart attack, and high cholesterol). Two central health outcomes emerged: less emotional distress (chronic obstructive pulmonary disease, eczema, fatty liver disease, gastric ulcer, heart attack, high cholesterol, hypertension, insomnia, and pre-diabetes) and quality of life (anxiety, autoimmune disease, cancer, depression, diabetes, and irritable bowel syndrome). Four bridge lifestyles were identified: consumption of fruits and vegetables (diabetes, high cholesterol, hypertension, and insomnia), less duration of sitting (eczema, fatty liver disease, and heart attack), frequency of exercise (autoimmune disease, depression, and heart attack), and overall amount of exercise (anxiety, gastric ulcer, and insomnia). The centrality difference test showed the central and bridge variables had significantly higher centrality indices than others in their networks (P < 0.05). Conclusion: To effectively manage chronic diseases during the COVID-19 pandemic, enhanced interventions and optimised resource allocation toward central lifestyle factors, health outcomes, and bridge lifestyles are paramount. The key variables shared across chronic diseases emphasise the importance of coordinated intervention strategies.

Effect of psychosocial aspects on medication adherence in patients with heart failure amid socioeconomic challenges.

OBJECTIVE: To evaluate stress, depression and quality of life among community-dwelling patients with heart failure (HF) and evaluate their effect on perceived medication adherence in a socioeconomically challenged setting. DESIGN: A cross-sectional design with self-administered questionnaire with data collected between October 2021 and September 2022. METHODS: Patients with confirmed diagnosis of HF were sought for data collection in the community and cardiology clinics through an electronic platform. Confirmation of cases was done through the ejection fraction, medication list and frequent symptoms of the patients. The Patient Health Questionnaire-9, the COVID-19 Stress Scale, the Minnesota Living with HF Questionnaire and the Lebanese Medication Adherence Scale were used to evaluate depression, stress, quality of life and medication adherence, respectively. Univariate analysis was done to present the descriptive statistics, whereas bivariate and multivariate analyses were done to evaluate the relationship between the variables. RESULTS: A total of 237 participants were included in the final analysis. The mean age was 61.3±17.36 years, and the majority (57.8%) were male participants. Only 44.7% were on ACE inhibitors/angiotensin receptor blockers and 54.9% on beta-blockers. The mean scores for stress, depression, quality of life and medication adherence were 75.86 (SD=24.5), 14.03 (SD=5.7), 55.73 (SD=23.05) and 6.79 (SD=6.93), respectively, indicating high stress levels, depression, poor quality of life and medication adherence. Those with a history of hypertension and depression were significantly more adherent to their medications than those who were not. Multivariate analysis showed that anxiety, medical follow-up, quality of life and functionality class were predictors of medication adherence. CONCLUSION: The study showed the population with HF in Lebanon to have psychological health problems with these variables acting as predictors for medication adherence. Sociodemographic characteristics also played a role on the outcome, which can be targeted when planning interventions to improve outcomes. Future studies should compare prescribed medication with consumed medication through longitudinal approaches and medical refilling techniques when possible.