Iranian Journal of Public Health最新文献

Background: The unmet need for family planning is an indicator in monitoring and evaluating family planning programs in the decentralization era. Spatial analysis is an analytical tool that can understand the existence of family planning disparities among regions. This study aimed to conduct a systematic review of the application of spatial analysis in research related to the unmet need for family planning and to review its results.

Methods: The databases used in the literature search are PubMed, Scopus, and SpringerLink. The keywords used in the search were: "unmet need for family planning" OR "unmet need for contraception" AND (spatial OR geographic). Full-text articles from 2013 to 2022 were included.

Results: Of the 334 identified articles, 3 (three) articles were reviewed. The three studies used spatial analysis at the level of spatial data exploration by using global and local Moran Index tests, Getis-Ord Gi* local statistics, and natural break spatial techniques.

Conclusion: The use of advanced spatial analysis such as GWR and other regression analyzes is needed to investigate factors associated with regionally specific unmet need for family planning so that policy makers can allocate resources effectively.

Background: Disabled college students are facing special life pressures and social challenges due to physical and psychological obstacles. Given such difficulties, they may experience a high level of negative emotion (NE) that aggravates their risk of suicidal ideation. As a positive psychological trait, self-acceptance is very important to promote the mental health of disabled college students and reduce their risk of committing suicide. A state of high-intensity hopelessness easily mediates the influence of the NE and self-acceptance of disabled college students.

Methods: A group questionnaire survey was conducted among 663 college students with disabilities across 16 universities from Zhejiang Province, Jiangsu Province, Shanghai City and Anhui Province of China. These surveys involved the use of a self-acceptance questionnaire, NE questionnaire, suicidal ideation questionnaire, and the Beck hopelessness scale, and the mediating role of hopelessness in the influence of NE and self-acceptance on the suicidal ideation of disabled college students was tested.

Results: Self-acceptance had a significantly negative influence on suicidal ideation (P<0.01), while NE exerted a significantly positive influence (P<0.01). Hopelessness partially mediated the influence of NE on the suicidal ideation of disabled college students and exerted a masking effect on the influence of self-acceptance on suicidal ideation. Hopelessness was a key psychological mechanism that bonds NE and self-acceptance with suicidal ideation.

Conclusion: The mental health intervention measures for disabled college students should include self-acceptance strategies and skills for reducing these students' NE to relieve their hopelessness and further reduce their risk of committing suicide.

Background: We aimed to elucidate the potential correlation between single-nucleotide polymorphisms (SNPs) in miRNA machinery genes and colorectal cancer (CRC) risk in an Iranian cohort.

Methods: We conducted a robust case-control study involving 507 participants, which included 213 patients diagnosed with CRC and 294 healthy controls at Research Institute for Gastroenterology and Liver Diseases in Tehran Province, Iran in 2018. The study focused on genotyping four specific SNPs, RAN (rs14035), GEMIN3 (rs197412), GEMIN4 (rs2740348), and Dicer (rs3742330), using advanced ARMS-PCR and Tetra-primer ARMS-PCR techniques.

Results: Notably, our investigation revealed the significant inverse association between the C/C genotype of rs197412 in the GEMIN3 gene and CRC risk (OR=0.54, 95% CI=0.33-0.87; P=0.0087). In stark contrast, the T/T genotype of rs14035 in the RAN gene was strongly associated with a heightened risk of developing CRC (OR=4.44, 95% CI=2.60-7.57, P<0.0001). Furthermore, we found that the G/G genotype of rs2740348 in GEMIN4 posed an increased risk for CRC (OR=2.9, 95% CI=1.44-5.85, P=0.0041) and it has a major effect on CRC risk in our population. The alleles and genotypes of rs3742330 in Dicer, however, did not exhibit a significant correlation with CRC.

Conclusion: Our study provides compelling evidence that SNPs within miRNA processing genes significantly contribute to susceptibility to CRC among the Iranian population. Our research not only contributes to the growing body of miRNA-related genetic studies but also opens avenues for population-specific risk assessment and personalized medicine approaches in cancer therapy.

Background: We aimed to identify and classify barriers and facilitators of implementation of research finding in healthcare.

Methods: A scoping review was conducted using Preferred Reporting Items for Systematic Reviews and Meta-analyses Extension for Scoping Reviews (PRISMA-ScR). Articles were extracted from online databases. The initial search was implemented on Jun, 2022, and updated until end of 2023. Two independent reviewers screened, selected, and extracted the data. Data were synthesized using thematic analysis.

Results: Overall, 32 studies from 3,435 documents met the inclusion criteria. From which 60 barriers and 45 facilitators were identified. The main barriers and facilitators extracted were grouped into eight components: Organization, Collaboration to knowledge utilization, Researcher role, Methodology and technical aspect of research, Management, Cultural and social determinants, Training, and Government and community. Organizational barriers and facilitators were the most concerning with insufficient attention, methodology and technical aspects of research were salient barriers, and the other components had similar roles.

Conclusion: This study directly addresses a gap in implementing the research findings in organizations. The government would benefit from knowledge implementation with respect to evidence utilization. Additionally, implementation knowledge was not transferred to healthcare practice to a sufficient extent, thus restricting the systematic use of implementation knowledge in practice.

Background: Truancy is correlated with variety of unfavorable outcomes that can negatively impact adolescents' development and well-being. We investigated the prevalence of truancy and its associated factors among school-going adolescents in Malaysia in 2022.

Methods: We used secondary data from the National Health and Morbidity Survey 2022. It is a cross-sectional study with a multistage stratified cluster sampling study design including 32,290 students aged 13 to 17 years old. It utilized the self-administered questionnaire from the validated Malaysian Global School-based Health Survey (GSHS). The associations between the truancy and its associated factors were examined using multivariate logistic regression, a complex sample analysis with sampling weightage.

Results: The prevalence of truancy was 25.6% (95% CI=24.25, 26.98). In the multivariate analysis, truancy was significantly associated with older age groups (P<0.001), adolescents with separated/ divorced/ widowed parents (P<0.001), those with current any tobacco product use (P<0.001), those with ever drug use (P<0.001), those who have been physically attacked (P<0.001) and being bullied (P<0.001).

Conclusion: Gender, age, parent marital status, and adolescents with risk behavior were associated with truancy. This information may provide evidence for the implementation of effective prevention and intervention strategies to reduce truancy among these school-going adolescents.

Background: Sensory impairments, notably hearing loss (68% in those aged 70+) and vision loss (24%-50%), are prevalent in older individuals. We investigated the correlation between visual and hearing impairments in older adults, considering sociodemographic factors, mental health, and social support.

Methods: The study is part of The Serbian 2019 National Health Survey, conducted in 2019. Questionnaires were used as the research tool, following the methodology of the European Health Survey. Multivariable logistic regression was used to assess predictors of visual and hearing impairments.

Results: Findings revealed a higher prevalence of vision difficulties among women (P< 0.001) and a significant reduction in reported vision issues with increased social support (P< 0.001). Higher education, particularly at the doctoral level, demonstrated a strong protective effect against hearing difficulties (P< 0.001).

Conclusion: Education at the doctoral level provides significant protection against sensory difficulties, especially in the case of hearing loss, while a high level of social support positively influences the reduction of vision-related problems. Further research is necessary for a better understanding of relationships and the development of effective support strategies for the elderly population with vision and hearing impairments.

Background: Suicide is a critical global issue with profound social and economic consequences. Implementing effective prevention strategies is essential to alleviate these impacts. Deep neural network (DNN) algorithms have gained significant traction in health sectors for their predictive capability. We looked at the potential of DNNs to predict suicide cases.

Methods: A descriptive-analytical, cross-sectional study was conducted to analyze suicide data using a deep neural network predictive prevention system (DNNPPS). The analysis utilized a suicide dataset comprising 1,500 data points, provided by a health research center in Kerman, Iran, spanning the years 2019-2022.

Results: Factors such as history of psychiatric hospitals, days of the week, and job were identified as the most important risk factors for predicting suicide attempts. Promising results were obtained by applying the DNNPPS model to a dataset of 1453 individuals with a history of suicide. The problem was approached as a binary classification task, with suicide history as the target variable. We performed preprocessing techniques, including class balancing, and constructed a DNN model using a sequential architecture with four dense layers.

Conclusion: The success of the DNN algorithm depends on the quality and quantity of data, as well as the model's architecture. High-quality data should be accurate, representative, and relevant, while a large dataset enables the DNN to learn more features. In our study, the DNNPPS model performed well, achieving an F1-score of 91%, which indicates high accuracy in predicting suicide cases and a good balance between precision and recall.

Cervical Intraepithelial Neoplasia grade III (CIN III) represents a critical precursor to invasive cervical cancer, necessitating a comprehensive understanding of its etiology, progression, diagnosis, and preventive strategies. This review integrates an approach to synthesize current literature, conducted through a meticulous search of databases (Scopus, Web of Science, and Google Scholar) for relevant articles discussing CIN III and its association with Human Papillomavirus (HPV). The review delineates the multifaceted landscape of CIN III, elucidating the pathogenesis involving high-risk HPV types, demographic factors (age and sexual behavior), behavioral determinants (smoking and contraceptive use), and environmental influences impacting disease epidemiology. Diagnostic modalities, including Pap smears, HPV testing, and colposcopy, were assessed for their role in early detection and intervention. The results highlight the significance of HPV vaccination, screening programs, and robust public health policies in mitigating the burden of CIN III. Effective interventions, particularly excisional procedures, demonstrate efficacy in reducing the risk of progression to invasive cancer, emphasizing the importance of vigilant follow-up. A comprehensive approach integrating vaccination initiatives, early detection through screening, and equitable healthcare policies stands pivotal in combating CIN III. The review underscores the imperative of evidence-based interventions for disease prevention, reducing disparities, and enhancing public health outcomes for individuals affected by or at risk of CIN III.

Background: We aimed to identify the factors affecting sleep quality in community-dwelling older adults.

Methods: This cross-sectional descriptive study was conducted from 6 to 13 October 2021. A hypothetical model based on Spielman's 3P model of insomnia was constructed using the multiple factors that influence sleep quality in older adults. Data were collected from 114 elderly adults at two welfare centers located in, South Korea and analyzed using IBM SPSS 21.0.

Results: The hierarchical regression model showing the predictors of sleep quality was significant, and it explained 23.9% of the variance (F=9.879, P<.001). Pre-sleep arousal (β=0.283, P=.005) and sleep hygiene (β=0.269, P=.014) were associated with sleep quality.

Conclusion: Sleep improvement interventions which consider pre-sleep arousal and sleep hygiene for older adults may improve sleep quality.