Predictors of health behavior compliance for the prevention of Covid-19 based on the extended parallel process model in pregnant women in Iran.

Pregnant women are at higher risk of getting severe Covid-19 disease and consequences on the health status of them and their fetuses. Despite vaccination, all preventive behaviors are emphasized. This study aimed to identify the determinants of Covid-19 preventive health behaviors in pregnant women using Extended Parallel Process Model. This cross-sectional study, was conducted on 175pregnant women. The model fit indices were acceptable. Knowledge had indirect effect on adherence to Covid-19 preventive behaviors trough mediating role of self-efficacy and response efficacy. So, it is suggested that, educational interventions should focus on increasing knowledge.

There were statistically significant correlations between all constructs of the EPPM model except knowledge, with adherence to Covid-19 preventive behaviors.Self-efficacy and response efficacy were the strongest predictors of Covid-19 prevention behaviorsPerceived susceptibility and severity were the other significant predictors of Covid-19 preventive behaviors.Knowledge indirectly through the mediating role of response efficiency and self-efficacy effected on preventive behaviors.

Frailty and Mental Health Disorders Before and During COVID-19 Occurrence in Older Population in Iran: A Longitudinal Repeated-Measures Study.

PURPOSE: Iranians' worry over the number of older patients negatively impacted by COVID-19 surged dramatically throughout the 5 waves of the COVID-19 pandemic, which lasted from January 2020 to September 2021. The goal of this research was to assess the physical and mental health of Iranian older persons throughout the COVID-19 pandemic's major waves. METHODS: The health condition of 507 older persons with a positive examination for COVID-19 illness was assessed before and throughout the 5 waves of coronavirus in south Iran in analytical and hybrid longitudinal research. RESULTS: The primary consequences of COVID-19 incidence on frailty and mental health issues were revealed in this investigation. Using a linear mixed model, we found a reduction of 0.33 in loneliness (ß = -.33, 95% CI -0.39 to -0.26) during the COVID-19 pandemic. The probabilities of becoming depressed, anxious, or frail rose 4.61 (95% CI: 3.77-5.63), 1.85 (95% CI: 1.52-2.24), as well as 1.42 (95% CI: 1.17-1.42) time, subsequently, with COVID-19 occurrence, according to the mixed logistic models. Furthermore, the influence of COVID-19 incidence on loneliness result differs by gender; for depression, it varies by education; and for anxiety, it changes by comorbidities and living independently. CONCLUSION: The COVID-19 pandemic significantly impacts the mental health and frailty of older persons with the positive COVID-19 situation, and this scenario is gender-based too.

Conspiracy Illusion, Superstitions, and Death Anxiety of Older Adults Who Refused Covid-19 Vaccination in Iran: A Cross-Sectional Study on Their Beliefs

The study was aimed to assess mental health of the older adults who did not participate in the three stages of national vaccination program. As a descriptive-analytical study, about 285 Iranian older people were interviewed in 2022. Data collection tools included demographic characteristics, conspiracy scale, superstitious beliefs instrument, and Templer death anxiety. The convenience sampling method was used and data were analyzed using BIM-SPSS version 28. Death anxiety statistically effect on conspiratory and superstitions with scores 0.190 and 0.320 using adjusted Eta squared, respectively and superstitious beliefs effected 81% of conspiracy as well (p = 0.001). Using ROC analysis, the cutoff points for conspiracy of men and women and final SEM model were extracted too. Interaction of conspiracy illusion, superstitions with death anxiety during the pandemic time among vulnerable groups i.e ageing community can shape a decision line in health policy making. [ FROM AUTHOR] Copyright of Omega: Journal of Death & Dying is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Physical activity behavior during Covid 19 pandemic among Iranian dwellers in Southern Iran based on planned behavior theory: a SEM analysis.

BACKGROUND: The COVID-19 pandemic restrictions curtailed physical activity. The current study applied an integrated Theory of Planned Behavior to identify the determinants of physical activity behavior and the processes involved in the COVID-19 pandemic. METHODS: A cross-sectional study was conducted in Shiraz city, Southern Iran, among 2500 people who met the inclusion criteria were included in the study. Data were collected using the demographic information questions and questionnaire based on the Theory of Planned Behavior (TPB) constructs. The Questionnaire via WhatsApp, emails, and SMS was shared. Data analysis was performed using SPSS26 and Amos version 24. Mean and standard deviation was used to describe the data. Also, one-way ANOVA and structural equation analysis were used to analyze the data. The significance level in all the tests was considered to be 0.05. RESULTS: One thousand one hundred sixty-nine samples (46.8%) said they had been exercising less than 3 days a week, and 47.6% of them did not have any exercise or physical activities (n = 1191). The mean score of attitudes, SN, PBC, and intention were 9.38 ± 2.07, 9.27 ± 2.03, 9.32 ± 2.05, and 12.29 ± 2.35, respectively. The effect size values demonstrate the independent variables' high coefficient of influence on explaining the theoretical model. According to the results, the factors play an important role in samples' intention (η2 ≥ 0.2, p ≤ 0.05). The effect size of intention on doing physical activities and exercise during the SARS-CoV-2 pandemic is Eta square = 0.777, which means the measure was high. The obtained model was good based on the main goodness of fit indices (Chi2 = 108.6, df = 25, n = 2500, Chi2/df = 4.344, RMSEA = 0.036, AGFI = 0.92, CFI = 0.95, GFI = 0.90, Fornell-Larcker criterion = 0.87, HTMT = 0.89). CONCLUSION: The TPB provides a useful framework to explore psychosocial determinants of physical activity behavior during the pandemic and identify key strategies for program planning aimed at improving exercise among people who were already influenced by quarantine and lockdown restrictions.