Occupational Health Problems and Safety Conditions among Small and Medium-Sized Enterprises: A Cross-sectional Study in Shiraz, Iran

Background: Small and medium-sized enterprises (SMEs) include a large part of manufacturing jobs and play an important role in developing national economics and employment. Objectives: The present study aimed to investigate occupational health problems and safety conditions among SMEs in Shiraz, Iran. Methods: This cross-sectional study was carried out on 711 SMEs, including 371 small enterprises (fewer than 25 workers) and 340 medium enterprises (25–99 workers), in Shiraz, Iran. The participants were selected randomly among the workplaces under the coverage of social security insurance. The researcher-made questionnaire, which consisted of demographic characteristics, the frequency rate of occupational accidents, and exposure to workplace harmful agents, were distributed among participants. Findings: The results showed there were significantly more physical and chemical harmful agents in medium enterprises compared to small ones (P < 0.001). However, the frequency rate of accidents in small enterprises was significantly higher than in medium enterprises (P < 0.001). Also, there was no significant difference between the studied enterprises in ergonomic hazards, except for awkward posture, whose frequency rate was significantly higher in small enterprises (P < 0.05). Finally, among the reported symptoms, the prevalence of eye, skin, ear, and respiratory symptoms was significantly higher in medium enterprises compared to small enterprises (P < 0.05). Conclusions: Occupational health and safety (OHS) regulations in medium enterprises have led to improved OHS conditions compared to small enterprises. Therefore, small enterprises should be included in OHS regulations

Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021

Background Estimates of demographic metrics are crucial to assess levels and trends of population health outcomes. The profound impact of the COVID-19 pandemic on populations worldwide has underscored the need for timely estimates to understand this unprecedented event within the context of long-term population health trends. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 provides new demographic estimates for 204 countries and territories and 811 additional subnational locations from 1950 to 2021, with a particular emphasis on changes in mortality and life expectancy that occurred during the 2020–21 COVID-19 pandemic period. Methods 22 223 data sources from vital registration, sample registration, surveys, censuses, and other sources were used to estimate mortality, with a subset of these sources used exclusively to estimate excess mortality due to the COVID-19 pandemic. 2026 data sources were used for population estimation. Additional sources were used to estimate migration; the effects of the HIV epidemic; and demographic discontinuities due to conflicts, famines, natural disasters, and pandemics, which are used as inputs for estimating mortality and population. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate under-5 mortality rates, which synthesised 30 763 location-years of vital registration and sample registration data, 1365 surveys and censuses, and 80 other sources. ST-GPR was also used to estimate adult mortality (between ages 15 and 59 years) based on information from 31 642 location-years of vital registration and sample registration data, 355 surveys and censuses, and 24 other sources. Estimates of child and adult mortality rates were then used to generate life tables with a relational model life table system. For countries with large HIV epidemics, life tables were adjusted using independent estimates of HIV-specific mortality generated via an epidemiological analysis of HIV prevalence surveys, antenatal clinic serosurveillance, and other data sources. Excess mortality due to the COVID-19 pandemic in 2020 and 2021 was determined by subtracting observed all-cause mortality (adjusted for late registration and mortality anomalies) from the mortality expected in the absence of the pandemic. Expected mortality was calculated based on historical trends using an ensemble of models. In location-years where all-cause mortality data were unavailable, we estimated excess mortality rates using a regression model with covariates pertaining to the pandemic. Population size was computed using a Bayesian hierarchical cohort component model. Life expectancy was calculated using age-specific mortality rates and standard demographic methods. Uncertainty intervals (UIs) were calculated for every metric using the 25th and 975th ordered values from a 1000-draw posterior distribution. Findings Global all-cause mortality followed two distinct patterns over the study period: age-standardised mortality rates declined between 1950 and 2019 (a 62·8% [95% UI 60·5–65·1] decline), and increased during the COVID-19 pandemic period (2020–21; 5·1% [0·9–9·6] increase). In contrast with the overall reverse in mortality trends during the pandemic period, child mortality continued to decline, with 4·66 million (3·98–5·50) global deaths in children younger than 5 years in 2021 compared with 5·21 million (4·50–6·01) in 2019. An estimated 131 million (126–137) people died globally from all causes in 2020 and 2021 combined, of which 15·9 million (14·7–17·2) were due to the COVID-19 pandemic (measured by excess mortality, which includes deaths directly due to SARS-CoV-2 infection and those indirectly due to other social, economic, or behavioural changes associated with the pandemic). Excess mortality rates exceeded 150 deaths per 100 000 population during at least one year of the pandemic in 80 countries and territories, whereas 20 nations had a negative excess mortality rate in 2020 or 2021, indicating that all-cause mortality in these countries was lower during the pandemic than expected based on historical trends. Between 1950 and 2021, global life expectancy at birth increased by 22·7 years (20·8–24·8), from 49·0 years (46·7–51·3) to 71·7 years (70·9–72·5). Global life expectancy at birth declined by 1·6 years (1·0–2·2) between 2019 and 2021, reversing historical trends. An increase in life expectancy was only observed in 32 (15·7%) of 204 countries and territories between 2019 and 2021. The global population reached 7·89 billion (7·67–8·13) people in 2021, by which time 56 of 204 countries and territories had peaked and subsequently populations have declined. The largest proportion of population growth between 2020 and 2021 was in sub-Saharan Africa (39·5% [28·4–52·7]) and south Asia (26·3% [9·0–44·7]). From 2000 to 2021, the ratio of the population aged 65 years and older to the population aged younger than 15 years increased in 188 (92·2%) of 204 nations. Interpretation Global adult mortality rates markedly increased during the COVID-19 pandemic in 2020 and 2021, reversing past decreasing trends, while child mortality rates continued to decline, albeit more slowly than in earlier years. Although COVID-19 had a substantial impact on many demographic indicators during the first 2 years of the pandemic, overall global health progress over the 72 years evaluated has been profound, with considerable improvements in mortality and life expectancy. Additionally, we observed a deceleration of global population growth since 2017, despite steady or increasing growth in lower-income countries, combined with a continued global shift of population age structures towards older ages. These demographic changes will likely present future challenges to health systems, economies, and societies. The comprehensive demographic estimates reported here will enable researchers, policy makers, health practitioners, and other key stakeholders to better understand and address the profound changes that have occurred in the global health landscape following the first 2 years of the COVID-19 pandemic, and longer-term trends beyond the pandemic

In vitro shoot proliferation of Passiflora caerulea L. via cotyledonary node and shoot tip explants

Passiflora caerulea L. is a herbaceous climber that belongs to the Passifloraceae family. One of the most important techniques used in plant biotechnology is tissue culture, which allows for the mass production of pathogenfree plants. Cotyledonary nodes have a great potential for shoot proliferation; however, to the best of our knowledge there are no reports regarding plant regeneration from cotyledonary nodes of P. caerulea. Therefore, this study aimed to evaluate the potential of two different types of explants (shoot tips and cotyledonary nodes) to obtain shoot multiplication of P. caerulea. Various concentrations of 6-benzylaminopurine (BAP) (0.5, 1, and 1.5 mg/l), 6-furfurylaminopurine (kinetin, KIN) (1 and 2 mg/l), and thidiazuron (TDZ) (0.25, 0.5, and 1 mg/l) in combination with indole butyric acid (IBA) were used in a completely randomized design, in three replications. The results showed that the highest percentage of regeneration frequency (90%) and a maximum number of shoots (8.86) in cotyledonary node explants were obtained on MS medium supplemented with 1.5 mg/l BAP along with 0.15 mg/l IBA. Furthermore, in the shoot tip explants, the percentage of regeneration rate (96.66%) and the highest number of shoots (9.86) were obtained in the above-mentioned medium. In rooting experiments, the maximum rooting percentage (90%) was obtained on MS medium containing 1 mg/l IBA. In vitro-raised plantlets were placed in pots and were stored in soil under room temperature for 20 to 30 days before planting, and it showed more than 90% survival rate. Based on our results, the protocol described in this study has a high potential to be used in the micropropagation of this valuable plant

Analyzing the Survival of Colorectal Cancer Patients of Tehran Taleghani Hospital using Non-Mixture Cure Model

Abstract Background: 4cure models are a model to analyze survival data that these models exist for long term survivors. Cure models are a special type of survival model where it is assumed that there are a proportion of subjects who had never event, thus, survival curve will eventually reach a plateau. Therefore, standard survival models are not appropriate because they do not account for the possibility of cure.The aim of the present research is to apply non-mixture cure model to analyze survival of patients with colorectal cancer. Materials and Methods: We studied 232 patients with colorectal cancer who were visited and treated at Taleghani Hospital Research Center for Gastroenterology and Liver Disease in Tehran. These patients were diagnosed from 1987 to 2012 and followed up until 2013. The Effect of age, gender, family history, body mass index and site of infection were studied. Kaplan-Meier and Non-Mixture cure Model were used for analzing data. Results: The ten-year survival rate after diagnosis in the studied patients was 64 % .A total of 60 (25.8 %) deaths due to colorectal cancer were observed. The mean of age at the time of diagnosis was 51.6 years. Based on non-mixed cure model, the rangs of age was 45-65 years old and BMI were significant. Conclusion: When the population is divided into two groups (susceptible and non- susceptible individuals), using Cox semi-parametric model is not appropriate. Therefore, we should use cure models

Prevalence of Behavioral Inhibition among Preschool Aged Children in Tehran, Iran

One of the identified risk factors for anxiety disorders in adolescence and adulthood is inhibited behaviors in childhood. The present study sought to examine the relationship between behavioral inhibition with some of the internal (personal) and external (family environment) factors in a sample of preschool children in kindergartens. In a cross sectional study in 2009, data was collected trough a structured questionnaire completed by parents and teachers in day-care centers. A total of 1403 children were assessed. Analysis was performed through complex sample analysis. The results showed that 7.4% (CI95%= 6.1%-9.1%) of children according to parents' and 8.1% (CI95%= 6%- 10.7%) according to teachers' evaluation classified as behaviorally inhibited. The higher levels of behavioral inhibition were shown by girls, first children, single parent families and older children. Birth year before 2004, birth rank, living in a single parent family and maternal level of education were independent predictors for behavioral inhibition in logistic regression modeling. There is relatively high prevalence of inhibited behaviors among Iranian children. Further examination of diagnosed children with behavioral inhibition by experienced psychiatrists is needed. Also establishing consultation centers for behaviorally inhibited children and instructing their parents and teachers are recommended

Accuracy of magnetic resonance imaging in assessing knee cartilage changes over time in patients with osteoarthritis: A systematic review.

Magnetic resonance imaging (MRI) is a technique useful for the diagnosis of cartilage damage due to high sensitivity to identify subchondral bone abnormalities and full-thickness cartilage lesions. The lack of a study on knee cartilage changes over time in patients with osteoarthritis (OA) by MRI technique led us to investigate the accuracy of MRI in identifying knee cartilage changes over time in patients with OA in a systematic review. In the present systematic review, started from the beginning of 2020 in one of the University Hospitals in Iran, the databases of CINAHL, Ovid, Elsevier, Scopus, PubMed, Science Direct, and Web of Science were searched using the keywords MRI, OA, Cartilage Lesion, Imaging Techniques. A total of 169 articles were retrieved in the initial search, and after reviewing the titles, abstracts, and full-texts, finally, seven were enrolled in the systematic review. Review of the selected papers showed that a total of 1091 subjects were studied, of which 355 were males. The results of all the studies, except one, indicated the high accuracy of MRI to identify knee cartilage changes over time. MRI technique can show cartilage changes with high accuracy in patients with knee OA over time. We proved the potential of MRI to identify articular cartilage injuries in patients with OA and its importance to the evaluation of articular cartilage lesions along with other available techniques

lncRNA DIGIT and BRD3 protein form phase-separated condensates to regulate endoderm differentiation

© 2020, The Author(s), under exclusive licence to Springer Nature Limited. Cooperation between DNA, RNA and protein regulates gene expression and controls differentiation through interactions that connect regions of nucleic acids and protein domains and through the assembly of biomolecular condensates. Here, we report that endoderm differentiation is regulated by the interaction between the long non-coding RNA (lncRNA) DIGIT and the bromodomain and extraterminal domain protein BRD3. BRD3 forms phase-separated condensates of which the formation is promoted by DIGIT, occupies enhancers of endoderm transcription factors and is required for endoderm differentiation. BRD3 binds to histone H3 acetylated at lysine 18 (H3K18ac) in vitro and co-occupies the genome with H3K18ac. DIGIT is also enriched in regions of H3K18ac, and the depletion of DIGIT results in decreased recruitment of BRD3 to these regions. Our findings show that cooperation between DIGIT and BRD3 at regions of H3K18ac regulates the transcription factors that drive endoderm differentiation and suggest that protein–lncRNA phase-separated condensates have a broader role as regulators of transcription