Displaying publications 21 - 40 of 336 in total

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  1. Nhu VH, Mohammadi A, Shahabi H, Shirzadi A, Al-Ansari N, Ahmad BB, et al.
    PMID: 32545634 DOI: 10.3390/ijerph17124210
    The declining water level in Lake Urmia has become a significant issue for Iranian policy and decision makers. This lake has been experiencing an abrupt decrease in water level and is at real risk of becoming a complete saline land. Because of its position, assessment of changes in the Lake Urmia is essential. This study aims to evaluate changes in the water level of Lake Urmia using the space-borne remote sensing and GIS techniques. Therefore, multispectral Landsat 7 ETM+ images for the years 2000, 2010, and 2017 were acquired. In addition, precipitation and temperature data for 31 years between 1986 and 2017 were collected for further analysis. Results indicate that the increased temperature (by 19%), decreased rainfall of about 62%, and excessive damming in the Urmia Basin along with mismanagement of water resources are the key factors in the declining water level of Lake Urmia. Furthermore, the current research predicts the potential environmental crisis as the result of the lake shrinking and suggests a few possible alternatives. The insights provided by this study can be beneficial for environmentalists and related organizations working on this and similar topics.
    Matched MeSH terms: Iran
  2. Ebrahimi F, Namaziandost E, Ziafar M, Ibna Seraj PM
    J Psycholinguist Res, 2021 Oct;50(5):1087-1105.
    PMID: 33830415 DOI: 10.1007/s10936-021-09778-z
    This study aimed to investigate the effect of the contrastive lexical approach on Iranian EFL learners' writing skills. For this study, forty pre-intermediate students from a private English language institutes in Ahvaz, Iran were selected. Then, they were randomly divided into two equal groups of 20; one experimental and one control group. To have two groups of equal numbers, we used a block randomization sampling method. All of these students were female, ranging in age from 18 to 30. Their level of English language proficiency had already been determined by the Institute to be pre-intermediate. First, they were given a pre-test to determine their writing ability. Afterward, the experimental group received writing practices through the Contrastive Lexical Approach (CLA), during 14 sessions. Each session lasted for an hour and a half. The teacher sensitized learners in the experimental group towards the presence of L2 equivalents for L1 formulaic expressions, while the control group received an ordinary, traditional instruction, during which learners read texts containing the same formulaic expressions as for the experimental group without receiving any translation and were then asked to write about the same topics. At the end of the course, a post-test was administered to the two groups. Data were analyzed through independent and paired samples t tests after ensuring the normality of the data. Finally, to discover the power of the statistical tests, the effect size was also calculated. The study showed that using a contrastive lexical approach has a significant positive effect on Iranian EFL learners' writing skills. As the findings in this study propose, the writing skill can be improved through the use of a contrastive lexical approach. Teaching through a contrastive lexical approach, hopefully, gives the learners the chance to fathom their skillful writing competence, which requires the proper use of varied forms of structures and expressions and this, in turn, may sensitize them to know more about what language features to work on to increase their writing proficiency.
    Matched MeSH terms: Iran
  3. Deylami N, Hassan SA, Alareqe NA, Zainudin ZN
    PMID: 34501535 DOI: 10.3390/ijerph18178945
    Amounting evidence indicates that insufficient knowledge of marital communication skills leads to destructive interactions and poor marital adjustments in couples, especially during stressful situations. Despite the high effectiveness of Gottman's psychoeducational intervention, there is a lack of study on the online Gottman's psychoeducation intervention (O-GPI) to improve marital communication and dyadic adjustments. The aim of this study was to evaluate the effectiveness of O-GPI on the improvement of marital communication patterns among Iranian couples.

    METHOD: The study followed a single-blind parallel group in a randomized controlled trial using an experimental longitudinal design, comprising 72 heterosexual couples living in Shiraz, Iran, with a 1-7-year marital age and no severe marital problems. The experimental group received eight consecutive O-GPIs via the Zoom platform, while the control group received information related to parenting skills via email. The outcome measures were the three patterns of communication: (i) constructive communication; (ii) demand-withdraw communication; and (iii) mutual avoidance communication-the screening measure was the dyadic adjustment scale.

    RESULTS: The findings indicated that O-GPI could improve couples' constructive communication significantly (45% for husbands and 40% wives) and decrease their total demand-withdrawal (51% for husbands and 65% wives) and mutual avoidance communication (60% for husbands and 62% wives).

    LIMITATIONS: Due to the homogenous nature of the sample, generalizations should be made with caution.

    CONCLUSIONS: This study demonstrates the feasibility and effectiveness of the online Gottman's psychoeducational intervention to improve couples' communication patterns.

    Matched MeSH terms: Iran
  4. Hazrati M, Hamid TA, Ibrahim R, Hassan SA, Sharif F, Bagheri Z
    Int J Community Based Nurs Midwifery, 2017 Oct;5(4):329-334.
    PMID: 29043279
    BACKGROUND: This study examined the impacts of an Emotional Focused Intervention on emotional abuse behaviors and marital satisfaction among the elderly married couples.

    METHODS: This randomized controlled trial study was carried out in Shiraz-Iran, during September 2013-2014. The elderly couples were invited to join an emotional focused intervention, following the advertisement and announcement on bulletin boards in the elderly day clinic centers and all governmental primary health care centers. Then, 57 couples (114 participants) who were eligible for study were assigned in two groups by block randomization (29 in the experimental and 28 in the control group(.The couples in the experimental group received intervention twice a week for four weeks. Each session lasted 90 minutes. The control group didn't receive any intervention and the subjects were put in the waiting list. The outcome measures were evaluated by Multidimensional Measure of Emotional Abuse Questionnaire (MMEAQ) and Marital Satisfaction Questionnaire for Older People (MSQFOP). Repeated measurement ANOVA was used to detect any significant changes between groups in their mean scores of emotional abuse behaviors and marital satisfaction from pre- to post-test, and 3 months after the intervention. Analysis of data was performed using SPSS, version 19, and P≤0.05 was measured as significant.

    RESULTS: The mean duration of marriage was 39.56±9.64 years. In the experimental group, the abusive behaviors decreased significantly (P<0.001) at times 2 and 3 compared with time 1, and marital satisfaction improved significantly only at time 3 (P<0.001). These differences were not significant in the control group.

    CONCLUSION: Emotion-focused couple-based interventions are helpful in reducing the spousal emotional abuse and improving marital satisfaction in among the elderly couples. Trial Registration Number: 2013111715426N1.
    Matched MeSH terms: Iran
  5. Yaghoobzadeh A, Sharif Nia H, Pahlevan Sharif S, Hosseinigolafshani SZ, Mohammadi F, Oveisi S, et al.
    Int J Aging Hum Dev, 2018 Jul;87(1):77-89.
    PMID: 28859489 DOI: 10.1177/0091415017727211
    Self-perception is found to be a central predictive factor in experiencing successful aging. The aim of this study was to explore the role of sex, socioeconomic status, and emotional support in elders' aging perception. A cross-sectional design was used with 300 older aged participants recruited from 23 clinics and health centers in Qazvin, Iran. Data were collected included questions to elicit demographic information and Barker's aging perception questionnaire. Exploratory multiple linear regression showed that the level of emotional support (β: -12.10; 95% CI: [-20.72, -3.48]), socioeconomic status (β: 2.84; 95% CI: [0.25, 5.43]), and women (β: -4.34; 95% CI: [-6.91, -1.77]) were associated with aging perception among elders. Educational level and marital status did not significantly contribute to the variance of AP. Findings revealed that aging perception was related to individual differences as well as social and emotional factors. Researchers, health-care professionals, and elders may benefit from thinking about old age as an inevitable life stage.
    Matched MeSH terms: Iran
  6. Sharif Nia H, Allen KA, Arslan G, Kaur H, She L, Khoshnavay Fomani F, et al.
    Front Public Health, 2023;11:1085197.
    PMID: 36875362 DOI: 10.3389/fpubh.2023.1085197
    BACKGROUND AND PURPOSE: Recent new mutations and increases in transmission of COVID-19 among adolescents and children highlight the importance of identifying which factors influence parental decisions regarding vaccinating their children. The current study aims to explore whether child vulnerability and parents' attitudes toward vaccines mediate the association between perceived financial well-being and vaccine hesitancy among parents.

    METHOD: A predictive, cross-sectional, multi-country online questionnaire was administered with a convenience sample of 6,073 parents (Australia, 2,734; Iran, 2,447; China, 523; Turkey, 369). Participants completed the Parent Attitude About Child Vaccines (PACV), the Child Vulnerability Scale (CVS), a Financial Well-being (FWB) measure, and Parental Vaccine Hesitancy (PVH) questionnaire.

    RESULTS: The current study revealed that perceived financial well-being had significant and negative associations with parents' attitudes toward COVID-19 vaccines and child vulnerability among the Australian sample. Contrary to the Australian findings, results from Chinese participants indicated that financial well-being had significant and positive predictive effects on parent attitudes toward vaccines, child vulnerability, and parental vaccine hesitancy. The results of the Iranian sample revealed that parents' attitudes toward vaccines and child vulnerability significantly and negatively predicted parental vaccine hesitancy.

    CONCLUSION: The current study revealed that a parents' perceived financial well-being had a significant and negative relationship with parental attitudes about vaccines and child vulnerability; however, it did not significantly predict parental vaccine hesitancy among Turkish parents as it did for parents in Australia, Iran, and China. Findings of the study have policy implications for how certain countries may tailor their vaccine-related health messages to parents with low financial wellbeing and parents with vulnerable children.

    Matched MeSH terms: Iran
  7. Bello MO, Gil-Alana LA, Ch'ng KS
    Environ Sci Pollut Res Int, 2023 Mar;30(12):35384-35397.
    PMID: 36534250 DOI: 10.1007/s11356-022-24678-y
    This paper deals with the analysis of mean reversion and convergence of the ecological footprint (EF) in the MENA region. Using a long memory model based on fractional integration, we find that the results are very heterogeneous across countries depending on the assumptions made on the error term and the use of original versus logged data. Nevertheless, some conclusions can be obtained. Thus, mean reversion is decisively found in the case of Tunisia, and other countries showing some degree of reversion to the mean include Israel, Syria, Yemen, and Iran. Dealing with the issue of convergence within the MENA countries, similar conclusions hold and only Tunisia reports statistical evidence of convergence for the two types of errors. Additional evidence is found in the case of Syria, Yemen, and Jordan with uncorrelated errors and for Iran with autocorrelation. It is recommended that environmental policies targeted at stabilizing the trends in EF in the MENA region should not be indiscriminately applied in consideration of the heterogeneous nature of the series in the region.
    Matched MeSH terms: Iran
  8. Sharif Nia H, She L, Somasundram S, Khoshnavay Fomani F, Kaveh O, Hosseini L
    Int J Aging Hum Dev, 2023 Mar;96(2):248-262.
    PMID: 35266410 DOI: 10.1177/00914150221084650
    Objective:The present study was designed to assess the construct validity and reliability of the Persian version of the 12-item Expectations Regarding Aging (ERA) survey among the older adult Iranian population. Methods: The Persian version of this scale was developed using translation and revision in the current study. The construct validity was assessed through exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The reliability was assessed through internal consistency (Cronbach's alpha and McDonald's omega), composite reliability (CR), and maximal reliability (MaXR). The data compiled online was based on a sample of 400 older adults aged 65 years and older. Results: The Persian version includes 12 items loading onto three factors with 12 items explaining 46.633% of the total variance with excellent internal consistency and reliability. Conclusion: The Persian version of ERA is reliable and valid that can be used to assess the ERA concept among older adults.
    Matched MeSH terms: Iran
  9. Banadkooki FB, Ehteram M, Ahmed AN, Teo FY, Ebrahimi M, Fai CM, et al.
    Environ Sci Pollut Res Int, 2020 Oct;27(30):38094-38116.
    PMID: 32621196 DOI: 10.1007/s11356-020-09876-w
    Suspended sediment load (SSL) estimation is a required exercise in water resource management. This article proposes the use of hybrid artificial neural network (ANN) models, for the prediction of SSL, based on previous SSL values. Different input scenarios of daily SSL were used to evaluate the capacity of the ANN-ant lion optimization (ALO), ANN-bat algorithm (BA) and ANN-particle swarm optimization (PSO). The Goorganrood basin in Iran was selected for this study. First, the lagged SSL data were used as the inputs to the models. Next, the rainfall and temperature data were used. Optimization algorithms were used to fine-tune the parameters of the ANN model. Three statistical indexes were used to evaluate the accuracy of the models: the root-mean-square error (RMSE), mean absolute error (MAE) and Nash-Sutcliffe efficiency (NSE). An uncertainty analysis of the predicting models was performed to evaluate the capability of the hybrid ANN models. A comparison of models indicated that the ANN-ALO improved the RMSE accuracy of the ANN-BA and ANN-PSO models by 18% and 26%, respectively. Based on the uncertainty analysis, it can be surmised that the ANN-ALO has an acceptable degree of uncertainty in predicting daily SSL. Generally, the results indicate that the ANN-ALO is applicable for a variety of water resource management operations.
    Matched MeSH terms: Iran
  10. Ehteram M, Ahmed AN, Latif SD, Huang YF, Alizamir M, Kisi O, et al.
    Environ Sci Pollut Res Int, 2021 Jan;28(2):1596-1611.
    PMID: 32851519 DOI: 10.1007/s11356-020-10421-y
    There is a need to develop an accurate and reliable model for predicting suspended sediment load (SSL) because of its complexity and difficulty in practice. This is due to the fact that sediment transportation is extremely nonlinear and is directed by numerous parameters such as rainfall, sediment supply, and strength of flow. Thus, this study examined two scenarios to investigate the effectiveness of the artificial neural network (ANN) models and determine the sensitivity of the predictive accuracy of the model to specific input parameters. The first scenario proposed three advanced optimisers-whale algorithm (WA), particle swarm optimization (PSO), and bat algorithm (BA)-for the optimisation of the performance of artificial neural network (ANN) in accurately predicting the suspended sediment load rate at the Goorganrood basin, Iran. In total, 5 different input combinations were examined in various lag days of up to 5 days to make a 1-day-ahead SSL prediction. Scenario 2 introduced a multi-objective (MO) optimisation algorithm that utilises the same inputs from scenario 1 as a way of determining the best combination of inputs. Results from scenario 1 revealed that high accuracy levels were achieved upon utilisation of a hybrid ANN-WA model over the ANN-BA with an RMSE value ranging from 1 to 6%. Furthermore, the ANN-WA model performed better than the ANN-PSO with an accuracy improvement value of 5-20%. Scenario 2 achieved the highest R2 when ANN-MOWA was introduced which shows that hybridisation of the multi-objective algorithm with WA and ANN model significantly improves the accuracy of ANN in predicting the daily suspended sediment load.
    Matched MeSH terms: Iran
  11. Baccini A, Petrovich E
    PLoS One, 2023;18(12):e0294669.
    PMID: 38157326 DOI: 10.1371/journal.pone.0294669
    Self-citations are a key topic in evaluative bibliometrics because they can artificially inflate citation-related performance indicators. Recently, self-citations defined at the largest scale, i.e., country self-citations, have started to attract the attention of researchers and policymakers. According to a recent research, in fact, the anomalous trends in the country self-citation rates of some countries, such as Italy, have been induced by the distorting effect of citation metrics-centered science policies. In the present study, we investigate the trends of country self-citations in 50 countries over the world in the period 1996-2019 using Scopus data. Results show that for most countries country self-citations have decreased over time. 12 countries (Colombia, Egypt, Indonesia, Iran, Italy, Malaysia, Pakistan, Romania, Russian Federation, Saudi Arabia, Thailand, and Ukraine), however, exhibit different behavior, with anomalous trends of self-citations. We argue that these anomalies should be attributed to the aggressive science policies adopted by these countries in recent years, which are all characterized by direct or indirect incentives for citations. Our analysis confirms that when bibliometric indicators are integrated into systems of incentives, they are capable of affecting rapidly and visibly the citation behavior of entire countries.
    Matched MeSH terms: Iran
  12. Hajialibeigloo R, Mazlum SR, Mohajer S, Morisky DE
    Nurs Open, 2021 Jul;8(4):1947-1957.
    PMID: 33811803 DOI: 10.1002/nop2.870
    AIM: To investigate the effect of self-administration of medication programme on medication adherence in cardiovascular inpatients and nurse's satisfaction.

    DESIGN: Randomized clinical trial with parallel-group design guided by the CONSORT checklist.

    METHODS: In this study, sixty cardiovascular inpatients were selected through convenience sampling and then randomly assigned to control and intervention groups, in 2018, Iran. The intervention group took responsibility for consuming their prescribed medication according to the self-administration of medication programme and the control group took medications routinely. Medication adherence was measured one and two weeks after the discharge via telephonic follow-up by Morisky Medication Adherence Scale MMAS-8-item and nurses' satisfaction by researcher-made questioner.

    RESULT: There was a higher medication adherence level in the intervention group rather than the usual care group at the follow-up. Most nurses in the study environment were very satisfied.

    CONCLUSION: The self-administration of medication programme can effectively increase patients' medication adherence and nurses' satisfaction.

    Matched MeSH terms: Iran
  13. Habibvand M, Yousefi M, Ahmed SA, Hassanzadeh H
    IET Nanobiotechnol, 2023 Apr;17(2):80-90.
    PMID: 36478175 DOI: 10.1049/nbt2.12106
    Today, the increasing use of chemical preservatives in foods is considered one of the main problems in food industries. This study aimed to produce the pasteurised Doogh (Iranian yogurt drink) containing a nanoemulsion of essential oil (EO) with appropriate quality. A factorial test based on a completely randomised design with two treatments in three levels, including EO type (pennyroyal, Gijavash, and their equal combination) and a control sample was applied to assess the physicochemical and sensory properties of Doogh. The highest negative zeta potential and antioxidant activity percentage were observed in the sample containing the nanoemulsion of pennyroyal and enriched with a combination of two essential oils. The microbial evaluation results indicated that the total microorganism count was minimised in the Doogh containing the nanoemulsion of Gijavash. The nanoemulsions of pennyroyal and Gijavash can be added into Doogh formulation to produce a new product with maximum sensory acceptability.
    Matched MeSH terms: Iran
  14. Moradzadeh A, Moayyed H, Mohammadi-Ivatloo B, Aguiar AP, Anvari-Moghaddam A, Abdul-Malek Z
    Environ Sci Pollut Res Int, 2024 Mar;31(12):18281-18295.
    PMID: 37837598 DOI: 10.1007/s11356-023-30224-1
    Recently, the increasing prevalence of solar energy in power and energy systems around the world has dramatically increased the importance of accurately predicting solar irradiance. However, the lack of access to data in many regions and the privacy concerns that can arise when collecting and transmitting data from distributed points to a central server pose challenges to current predictive techniques. This study proposes a global solar radiation forecasting approach based on federated learning (FL) and convolutional neural network (CNN). In addition to maintaining input data privacy, the proposed procedure can also be used as a global supermodel. In this paper, data related to eight regions of Iran with different climatic features are considered as CNN input for network training in each client. To test the effectiveness of the global supermodel, data related to three new regions of Iran named Abadeh, Jarqavieh, and Arak are used. It can be seen that the global forecasting supermodel was able to forecast solar radiation for Abadeh, Jarqavieh, and Arak regions with 95%, 92%, and 90% accuracy coefficients, respectively. Finally, in a comparative scenario, various conventional machine learning and deep learning models are employed to forecast solar radiation in each of the study regions. The results of the above approaches are compared and evaluated with the results of the proposed FL-based method. The results show that, since no training data were available from regions of Abadeh, Jarqavieh, and Arak, the conventional methods were not able to forecast solar radiation in these regions. This evaluation confirms the high ability of the presented FL approach to make acceptable predictions while preserving privacy and eliminating model reliance on training data.
    Matched MeSH terms: Iran
  15. Eleftheriou A, Antoniou E, Darbà J, Ascanio M, Angastiniotis M, Farmakis D
    Hemoglobin, 2022 Nov;46(6):308-311.
    PMID: 36847683 DOI: 10.1080/03630269.2023.2167657
    Estimating the cost of thalassemia care is important for the optimization of care planning, resource allocation and the empowerment of patient advocacy. However, available evidence is heterogeneous, reflecting diverse healthcare systems and cost estimation methods. We sought to build a globally applicable cost model for thalassemia care. We followed a three-step approach, including (i) a targeted literature review to identify previous cost-of-illness studies on thalassemia; (ii) a generic model development based on the main determinants of cost in different countries emerged from a literature review and validated by a team of medical experts; (iii) a piloting of the model using data from two diverse countries. The literature review revealed studies focusing on the total costs of thalassemia care or the cost or cost-effectiveness of specific treatment or prevention modalities in high- and low-prevalence countries across the world. The resulting evidence was used to build a model that calculates total annual therapy cost based on entry of country-level and patient-level data, and data on healthcare modalities, indirect costs and prevention. Testing the model using published data from the UK, Iran, India and Malaysia, revealed an annual cost per patient of £81,796.00 for the UK, Iranian rial (IRR) 13,757.00 for Iran, Indian rupee (INR) 166,750.00 for India and Malyasian ringgit (or dollar) (MYR) 111,372.00 for Malaysia. A globally applicable model that calculates total annual cost of thalassemia care was built based on existing evidence. The model successfully predicted the annual cost of thalassemia care in the UK, Iran, India and Malaysia.
    Matched MeSH terms: Iran
  16. Delavar MA, Lye MS, Khor GL, Hanachi P, Hassan ST
    PMID: 19842450
    Metabolic syndrome is a cluster of interconnected cardiovascular risk factors. This research determined the prevalence of metabolic syndrome by body mass index, sociodemography, and lifestyle habits of women 30-50 years old in Babol Iran. A systematic random sampling was used to select 984 middle aged women from an urban area in Babol, Mazandaran, Iran. Screening was used to select eligible women who fulfilled selection criteria. The Adult Treatment Panel III (ATP III) criteria were used to classify participants as having metabolic syndrome. The overall prevalence of metabolic syndrome was 31.0%. Abdominal obesity was observed in about 76.6% (n = 273) of subjects. The prevalences of hypertension, high fasting blood glucose, high triglycerides and low HDL-cholesterol were 12.1, 12.1, 41.5 and 48.6%, respectively. Older age (OR = 2.07; CI = 1.56-2.75), higher waist circumference (OR = 6.46; 95% CI = 3.48-11.96), higher systolic (OR = 3.84; 95% CI = 2.37-6.22) and diastolic blood pressure (OR = 1.89; 95% CI =1.17-3.05), low education level (OR = 2.780; CI = 1.80-4.31), housekeeping (OR = 3.92; CI = 1.24-12.44) and farming occupation (OR = 20.54; 95% CI = 3.54-119.06) were associated with increased risk for metabolic syndrome. The odds ratio (OR) showed no significant associations between metabolic syndrome and smoking or exposure to smoking. This study showed high prevalence of metabolic syndrome in Iranian middle aged women. A larger area and population study is needed to enable broader recommendations for the prevention of metabolic syndrome.
    Matched MeSH terms: Iran/epidemiology
  17. Abdollahi A, Abu Talib M
    Death Stud, 2015;39(10):579-83.
    PMID: 25924082 DOI: 10.1080/07481187.2015.1013163
    To examine the moderating role of spirituality between hopelessness, spirituality, and suicidal ideation, 202 Iranian depressed adolescent inpatients completed measures of patient health, suicidal ideation, hopelessness, and core spiritual experience. Structural equation modelling indicated that depressed inpatients high in hopelessness, but also high in spirituality, had less suicidal ideation than others. These findings reinforce the importance of spirituality as a protective factor against hopelessness and suicidal ideation.
    Matched MeSH terms: Iran/epidemiology
  18. Yaghoobzadeh A, Pahlevan Sharif S, Ong FS, Soundy A, Sharif Nia H, Moradi Bagloee M, et al.
    Int J Aging Hum Dev, 2019 12;89(4):356-371.
    PMID: 30569732 DOI: 10.1177/0091415018815239
    Matched MeSH terms: Iran/ethnology
  19. Nikbakht Nasrabadi A, Pahlevan Sharif S, Allen KA, Naghavi N, Sharif Nia H, Salisu WJ, et al.
    Eur J Cancer Prev, 2022 Mar 01;31(2):198-203.
    PMID: 33899748 DOI: 10.1097/CEJ.0000000000000683
    While much research has focused on the direct impact of socioeconomic status on cancer patients, what is not clear is the impact of socioeconomic status on social support and the burden of care for caregivers. In this study, a cross-sectional method, using a convenience sampling approach, was adopted to collect the data of 191 caregivers of cancer patients who were referred to the oncology clinic and cancer institute of hospitals affiliated with Tehran University of Medical Sciences, Iran. The participants completed a questionnaire on basic demographics, the short version of the Burden Scale for Family Caregivers, and Zimet Multidimensional Perceived Social Support. A maximum likelihood exploratory factor analysis with oblique rotation to assess the factor structure of the constructs and the measurement model was conducted. The two-factor model consisting of 22 items explained 65.116% of the variance. There was a significant negative relationship between social support and burden (b = -0.771, P < 0.001) and also between economic status and burden (b = -0.308, P < 0.01). Moreover, there was a significant positive association between the interaction of social support and economic status and burden (b = 0.138, P < 0.05). More specifically, the negative relationship between social support and burden was statistically stronger for participants with weak economic status (b = -0.663, P < 0.001) than those with good economic status (b = -0.356, P < 0.01). Social support and an individual's economic status are essential determinants of caregiver burden. Further studies are recommended to better inform the precise support needed by caregivers to enhance their quality of life, and ultimately, that of the patients under their care.
    Matched MeSH terms: Iran/epidemiology
  20. Bagheri R, Farahani FK, Ebrahimi M
    J Interpers Violence, 2023 Aug;38(15-16):9492-9513.
    PMID: 37102584 DOI: 10.1177/08862605231168824
    The objective of this article is to assess the effect of domestic violence on abortion and investigate the mediating role of unwanted pregnancy. A secondary analysis was conducted on the National Family Survey data. This survey was a cross-sectional study conducted across Iran in 2018. The association between domestic violence and abortion was analyzed using the Partial Least Square-Structural Equation Model (PLS-SEM) with WarpPLS version 8.0. From among 1,544 married women (mean age 42.8 years) who participated in this survey, 27% (418 women) reported experiencing at-least one-lifetime of abortion. Overall, two in three women (67.3%) experienced at least one form of domestic violence. Almost half of the women with experience of abortion (49.3%) reported at least one unwanted pregnancy in their life course. The bivariate analysis showed a significant positive relationship between domestic violence and abortion, and there was a positive direct effect of domestic violence on unwanted pregnancy. Moreover, age had a negative direct and indirect effect on unwanted pregnancy and abortion. Although, the direct effect of domestic violence on abortion was not significant in the Structure Equation Model, a positive indirect effect of domestic violence on abortion through unwanted pregnancy was confirmed. The effect of unwanted pregnancy on abortion was particularly strong (β = .395, p 
    Matched MeSH terms: Iran/epidemiology
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