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  1. Sharif Nia H, She L, Fomani FK, Kaur H, Sánchez-Teruel D, Froelicher ES, et al.
    J Relig Health, 2021 Oct;60(5):3658-3674.
    PMID: 34423379 DOI: 10.1007/s10943-021-01384-6
    This paper reports on the psychometric properties of the Religious Orientation Scale (ROS) with a sample of 311 Iranian patients who were suffering from cancer between September and December 2020. A cross-sectional study design was used, and convenience sampling was employed. Reliability was evaluated by internal consistency Cronbach's alpha, McDonald's omega, and average inter-item correlation. The exploratory factor analysis showed that the ROS had 15 items and two factors (religious identity and personal identity) that explained 43.2% of the total variance of religious orientation in Iranian patients with cancer. Construct validity was assessed by means of confirmatory factor analysis. The internal consistency and composite reliability were acceptable. The results indicate that the ROS can produce reliable and valid data on religious orientation in a sample of Iranian patient with cancer.
  2. Sharif Nia H, She L, Froelicher ES, Marôco J, Moshtagh M, Hejazi S
    BMC Psychiatry, 2023 Feb 07;23(1):92.
    PMID: 36747165 DOI: 10.1186/s12888-023-04580-8
    BACKGROUND: The resilience construct is considered a personal trait composed of multiple aspects. Connor-Davidson Resilience Scale is a standard tool composed of five factors and 25 items. This study aimed to determine the psychometric properties of this scale.

    METHODS: In this cross-sectional study, after the scale translation, the factorial structural validity was assessed via the confirmatory factor analysis with 70 180 samples. Internal consistency, composite reliability, convergent validity were assessed by calculating Cronbach's alpha, composite reliability, maximum reliability, and Average Variance Extracted. The discriminant validity was assessed using Heterotrait-monotrait ratio of correlations matrix and also, measure invariance was evaluated.

    RESULTS: The original five-factor model had good model fit indices but due to low factor loading of item 2 and 20, the model was modified. The Cronbach's alpha and composite reliability for four factors were above 0.7 (except for factor 5). The convergent validity for all five factors were achieved. Between factors 1 with 2 and 4, 2 with 3 and 4 discriminant validity was not established (correlations > 0.9) and the results suggested that there might be a second-order latent construct behind these factors. Therefore, a second-order assessment was performed. The results of the second-order latent construct assessment showed a good goodness-of fit and strong measurement invariance for both men and women.

    CONCLUSION: The 23-item version of Connor-Davidson Resilience Scale is a reliable and valid scale to measure resilience as a complex construct in the Iran context.

  3. Sharif Nia H, Akhlaghi E, Torkian S, Khosravi V, Etesami R, Froelicher ES, et al.
    Front Psychol, 2021;12:671124.
    PMID: 34658994 DOI: 10.3389/fpsyg.2021.671124
    Background: The coronavirus pandemic can cause unprecedented global anxiety, and, in contrast, resilience can help the mental health of people in stressful situations. This study aimed to assess anxiety, hyperarousal stress, the resilience of the Iranian population, and their related factors during the coronavirus disease 2019 (COVID-19) epidemic. Methods: A cross-sectional study was conducted in 31 provinces in Iran between March 18 and 25, 2020. A four-part questionnaire, including the demographic information, the State-Trait Anxiety Inventory (STAI-y1-a 20-item standard questionnaire for obvious anxiety), the Connor-Davidson Resilience Scale (CD-RISC-a 25 item standard questionnaire), and the stress hyperarousal subscale from the Impact of Event Scale-Revised (IES-R), was used to collect data. The ordinal multivariable generalized estimating equation (GEE) model was used to identify correlates of the psychological factors mentioned above. The Fisher exact test was used to investigate the relationship between anxiety, stress, resilience, and the COVID-19 outbreak. All analyses were conducted with SPSS 26 and GIS 10.71. Results: The findings show that most people had moderate-to-severe anxiety (80.17%) and a high level of resilience (96.4%) during the COVID-19 epidemic. The majority of participants had a moderate level of stress (58.9%). The lowest and highest prevalences of psychiatric disorders were in Sistan and Baluchestan (3.14 cases per 100,000 people) and Semnan (75.9 cases per 100,000 people) provinces, respectively. Men and unmarried people were the only variables significantly associated with anxiety and resilience. Age, gender, and education were significantly associated with hyperarousal stress. Conclusion: The high and moderate levels of anxiety and stress in Iranians can have negative effects on the well-being and performance of the people and can lead to serious problems. Also, high resilience during negative life events (such as the COVID-19 pandemic) is associated with the well-being in the lives of people. The results of this study can be used in interventions and other psychological studies.
  4. Sharif-Nia H, She L, Froelicher ES, Arslan G, Hejazi S, Fomani FK, et al.
    J Child Adolesc Ment Health, 2021;33(1-3):111-122.
    PMID: 38041437 DOI: 10.2989/17280583.2023.2274339
    Background: Resilience is a measure of the ability to cope with stress and the accurate measurement of it is critical. This study aimed to translate and evaluate the psychometric properties of the Connor-Davidson Resilience Scale in Iranian adolescents during the Coronavirus Disease (COVID-19) pandemic.Methods: In this cross-sectional study, after the scale translation, the content and construct validity were assessed using exploratory and confirmatory factor analysis. Moreover, internal consistency, composite reliability, and invariance measurement were evaluated.Results: The content validity ratio was greater than 0.49, and the modified kappa coefficient for all items was higher than 0.6. With exploratory factor analysis, two factors were extracted consisting of 16 items and explaining 43% of the total variance. The results of confirmatory factor analysis indicated a good fit for the model. Cronbach's alpha and composite reliability for both factors were greater than 0.7. Although there is no significant difference (p = 0.09) in the average resilience of adolescents in different provinces, boys (42.64 ± 10.90) had a significantly (p < 0.001) higher resilience score than girls (40.10 ± 11.92).Conclusion: The study results showed that the Persian 16-item version of the Connor-Davidson Resilience Scale has acceptable reliability and validity in the Iranian adolescent population.
  5. Sharif Nia H, She L, Froelicher ES, Hejazi S, Kohestani D, Hamidi S
    Chronic Illn, 2023 Dec;19(4):862-872.
    PMID: 36631997 DOI: 10.1177/17423953221150686
    BACKGROUND: Having meaning in life is a protective factor for psychological well-being. Accurate assessment of this construct needs a valid and reliable tool.

    PURPOSE: This study aims to evaluate the psychometric properties of the Farsi version of the meaning of life questionnaire in patients with cancer.

    METHOD: In this cross-sectional study, after translating the questionnaire to Farsi, in a sample of 212 patients with cancer, feasibility, content and convergent validity, exploratory and confirmatory factor analysis, internal consistency, stability, and responsiveness were evaluated.

    RESULTS: The results show that the content validity ratio of all ten items was greater than 0.49. Also, the modified Kappa coefficient of each item was greater than 0.6. The maximum likelihood exploratory factor analysis extracted one factor, which explains 76.13% of the total variance of the sample. Item nine was removed. The confirmatory factor analysis results show that the one-factor model had good fit indices. The Cronbach's alpha, McDonald's omega, composite reliability, MaxR, and intraclass correlation coefficient were 0.96, 0.96, 0.96, 0.96, and 0.98, respectively. The questionnaires had responsiveness and its response time was 3 s.

    CONCLUSION AND POLICY SUMMARY: The nine-item Farsi version of the meaning of life questionnaire has good validity and reliability and responsiveness.

  6. Pahlevan Sharif S, She L, Liu L, Naghavi N, Lola GK, Sharif Nia H, et al.
    Nurs Open, 2023 Jan;10(1):123-134.
    PMID: 35906871 DOI: 10.1002/nop2.1286
    AIM: There has been growing concern about the nurses' turnover intention as well as life satisfaction during COVID-19 pandemic in Iran. The past research has provided evidence on the effect of organizational support on nurses' job satisfaction and turnover intention. However, little is known about the underlying mechanism behind these associations.

    DESIGN: A cross-sectional survey was undertaken.

    METHODS: An online survey was conducted in Iran from May to June 2020 through Google Docs Forms. In total, 305 nurses were participated and completed the online survey. Data were analysed using structural equation modelling through (AMOS). This study was checked with the STROBE checklist.

    RESULT: The results showed that nurses' perception of organizational support was positively related to their job satisfaction which in turn decreases the turnover intention. Likewise, the job satisfaction partially mediated the relationship between organizational support and nurses' life satisfaction.

  7. Sharif Nia H, Gorgulu O, Naghavi N, Froelicher ES, Fomani FK, Goudarzian AH, et al.
    BMC Cardiovasc Disord, 2021 11 23;21(1):563.
    PMID: 34814834 DOI: 10.1186/s12872-021-02372-0
    BACKGROUND: Although various studies have been conducted on the effects of seasonal climate changes or emotional variables on the risk of AMI, many of them have limitations to determine the predictable model. The currents study is conducted to assess the effects of meteorological and emotional variables on the incidence and epidemiological occurrence of acute myocardial infarction (AMI) in Sari (capital of Mazandaran, Iran) during 2011-2018.

    METHODS: In this study, a time series analysis was used to determine the variation of variables over time. All series were seasonally adjusted and Poisson regression analysis was performed. In the analysis of meteorological data and emotional distress due to religious mourning events, the best results were obtained by autoregressive moving average (ARMA) (5,5) model.

    RESULTS: It was determined that average temperature, sunshine, and rain variables had a significant effect on death. A total of 2375 AMI's were enrolled. Average temperate (°C) and sunshine hours a day (h/day) had a statistically significant relationship with the number of AMI's (β = 0.011, P = 0.014). For every extra degree of temperature increase, the risk of AMI rose [OR = 1.011 (95%CI 1.00, 1.02)]. For every extra hour of sunshine, a day a statistically significant increase [OR = 1.02 (95% CI 1.01, 1.04)] in AMI risk occurred (β = 0.025, P = 0.001). Religious mourning events increase the risk of AMI 1.05 times more. The other independent variables have no significant effects on AMI's (P > 0.05).

    CONCLUSION: Results demonstrate that sunshine hours and the average temperature had a significant effect on the risk of AMI. Moreover, emotional distress due to religious morning events increases AMI. More specific research on this topic is recommended.

  8. Sharif Nia H, Chan YH, Froelicher ES, Pahlevan Sharif S, Yaghoobzadeh A, Jafari A, et al.
    Health Promot Perspect, 2019;9(2):123-130.
    PMID: 31249799 DOI: 10.15171/hpp.2019.17
    Background: Meteorological parameters and seasonal changes can play an important role in the occurrence of acute coronary syndrome (ACS). However, there is almost no evidence on a national level to suggest the associations between these variables and ACS in Iran. We aim to identify the meteorological parameters and seasonal changes in relationship to ACS. Methods: This retrospective cross-sectional study was conducted between 03/19/2015 to 03/18/2016 and used documents and records of patients with ACS in Mazandaran ProvinceHeart Center, Iran. The following definitive diagnostic criteria for ACS were used: (1) existence of cardiac enzymes (CK or CK-MB) above the normal range; (2) Greater than 1 mm ST-segment elevation or depression; (3) abnormal Q waves; and (4) manifestation of troponin enzyme in the blood. Data were collected daily, such as temperature (Celsius) changes, wind speed and its direction, rainfall, daily evaporation rate; number of sunny days, and relative humidity were provided by the Meteorological Organization of Iran. Results: A sample of 2,054 patients with ACS were recruited. The results indicated the highest ACS events from March to May. Generally, wind speed (18 PM) [IRR = 1.051 (95% CI: 1.019 to1.083), P=0.001], daily evaporation [IRR = 1.039 (95% CI: 1.003 to 1.077), P=0.032], daily maximum (P<0.001) and minimum (P=0.003) relative humidity was positively correlated withACS events. Also, negatively correlated variables were daily relative humidity (18 PM) [IRR =0.985 (95% CI: 0.978 to 0.992), P<0.001], and daily minimum temperature [IRR = 0.942 (95%CI: 0.927 to 0.958), P<0.001]. Conclusion: Climate changes were found to be significantly associated with ACS; especially from cold weather to hot weather in March, April and May. Further research is needed to fully understand the specific conditions and cold exposures.
  9. Sharif Nia H, Gorgulu O, Pahlevan Sharif S, Froelicher ES, Haghdoost AA, Golshani S, et al.
    Iran J Public Health, 2020 May;49(5):923-930.
    PMID: 32953680
    Background: The prevalence of Acute Myocardial Infarction (AMI) varies from region to region caused by seasonal climate changes and temperature variation. This study aimed to assess the relationship between changing meteorological conditions and incidence of AMI in Iran.

    Methods: This retrospective prevalence study was based on medical records of the heart center of Mazandaran Province on all patients diagnosed with AMI in Mazandaran, northern Iran between 2013 and 2015. Patients' sex and the day, month, year and time of hospital admission were extracted from patients' records. Moreover, the meteorological reports were gathered.

    Results: A statistically significant difference was found between the distributions of AMI cases across 12 months of the year (P < 0.01). Fuzzy clustering analysis using 16 different climatic variables showed that March, April, and May were in the same cluster together. The other 9 months were in different clusters.

    Conclusion: Significant increase in AMI was seen in March, April and May (cold to hot weather).

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