Population Groups Research Articles

The Effectiveness of a Training Program Based on Health Education to Improve Health Empowerment Level among Refugees in Jordan

Objectives: The study aimed to assess the effectiveness of a health education-based training program in enhancing the level of health empowerment among refugees in Jordan. Health empowerment is a crucial component of health promotion, enabling individuals to take control of their health, manage their health outcomes, and improve them. Refugees are a vulnerable population group with limited access to healthcare. Methods: The study sample consisted of 38 refugees in Irbid governorate, Jordan, who were conveniently selected in coordination with some organizations working in the field of asylum in the governorate. They were randomly divided into two groups: an experimental group (n = 19) that received the health education training program, and a control group (n = 19) that did not receive any health education training. The Health Empowerment Scale (HES), a validated tool, was used to collect data from both groups in pre-tests and post-tests, and a follow-up test was conducted for members of the experimental group only. Results: The results showed a statistically significant increase in the health empowerment scores for the experimental group that received the training program compared to the control group. The mean of the pre-test for the experimental group was (1.97 ± 0.27), and for the control group, it was (1.84 ± 0.21). The post-test mean for the experimental group became (3.88 ± 0.13), while for the control group, it was (1.85 ± 0.20). The follow-up test indicated sustained enhanced levels of health empowerment in the experimental group, with little difference between the post-test and follow-up scores, indicating the effectiveness of the health education training program in enhancing health empowerment for refugees in Jordan. Conclusions: Healthcare providers and policymakers in Jordan and other countries hosting large numbers of refugees have significant responsibilities. Giving sufficient priority to health education and awareness programs is essential to enhance the health empowerment of refugees and improve their health literacy, which ultimately impacts their overall public health.

Development of Energy Poverty and Its Solutions through the Use of Renewables: The EU Case with a Focus on Slovakia

The problem of energy poverty (EP), when energy becomes unaffordable for some population groups, is not only a problem for developing countries, but this phenomenon is appearing more and more often in European countries. In Europe, it is estimated that 50 to 125 million people are living in energy poverty. We hear more and more about energy poverty in connection with the current energy crisis and rising energy prices, but also because of insufficient renewable use. Due to increasing energy prices, we are increasingly hearing about the deepening energy poverty in Slovakia. This study aims to evaluate the development of energy poverty in Slovakia compared to other EU countries. The situation is studied from the view of the number of heating and cooling days, the percentage of the population that cannot maintain adequate heat at home, the percentage of the population that lacks heat, and the percentage of residents without enough heat. During the research, we used distribution analysis, trend analysis, analysis of variance, and one-way analysis. The main results show that the heating degree days (HDD) index recorded a decrease, the cooling degree days (CDD) index recorded an increase, and energy poverty is most obvious in a low-income group of inhabitants, having shortage of heat, when renewable energy sources (RES) use contributes to the mitigation of energy poverty. Solving the unfavorable situation of energy poverty is possible by increasing the share of renewables used in the gross final energy consumption for heating and cooling, primarily in residential buildings. The results provide information for policymakers regarding the triple bottom line approach (people, planet, and profit).

Examining Food Access Equity by Integrating Grocery Store Pricing into Spatial Accessibility Measures

Accessibility to food stores offering nutritious and affordable options is critical to ensure urban residents lead healthy lives. However, the uneven distribution of diverse food options in U.S. cities has raised concerns about marginalized communities’ ability to obtain affordable and nutritious food. Transportation-related issues, like car-oriented urban form and sprawl, have created food deserts in cities, making it hard for marginalized communities to access affordable and healthy food. This lack of access has recently drawn the attention of urban planners to address food access-related equity issues. Spatial interaction models can help measure food access by examining how grocery store supply, demand, and proximity affect individuals’ access to necessary food. However, these measures do not always consider the pricing of food items, which can significantly affect food access for low-income individuals and families. We use a highly disaggregated measure tailored to measuring inequitable food accessibility by factoring grocery store pricing into various types of supply and demand. Then, using regional socio-demographic thresholds, we identify target population groups and perform a series of equity analyses using our food accessibility measure. Our results show that walking is more inequitable than driving to food stores and that African American and Hispanic minorities, the elderly, and carless households are more burdened than the reference groups (whites). Using our framework, we identify food deserts and provide spatial and empirical insights for policymakers and planners to address food insecurity and promote equitable access to healthy food.

Community Public Mobility Using On-Demand, Low-Speed Electric Vehicles: A Case Study in Downtown St. Louis, Missouri

Legacy fixed-route transit systems designed to serve commuters struggle to provide efficient and effective service for short neighborhood trips and for population groups unable to access and egress transit stops using active modes (e.g., elderly, disabled). Neighborhood on-demand transit (ODT) services using low-speed electric vehicles (LSEVs) are an innovative technological solution that could help fill this gap in service (e.g., short, high-frequency trips) for diverse populations and trip types. This study evaluated user characteristics and travel behavior for a neighborhood ODT service (using LSEVs) in downtown St. Louis, MO, using responses from a community survey ( n = 244), ridership data, and vehicle trajectory information. A comparative analysis between neighborhood ODT, fixed-route transit, and transportation network companies (TNCs) was also conducted from the perspectives of total travel time, cost, and greenhouse gas emissions. Ultimately, the goal of the analysis was to motivate and inform holistic public mobility systems where different services are optimized to meet specific community needs. Findings indicate that the neighborhood ODT was effective at reaching diverse populations (elderly [20%], lower income [27%], and households with limited access to private vehicles [34%]). ODT reduced total travel time by 32% compared with fixed-route transit, produced 2.4 to 4.3 times less greenhouse gas emissions per passenger mile (compared with transit and TNCs), and was more affordable (free to users) than alternative options ($1 for transit, $10 to $12 for TNCs). Overall satisfaction rates were high, with 80% of respondents rating the service a 4 or 5 out of 5.

Life Table Prediction Using the Lee-Carter Model

<span lang="EN-US">Mortality is the state where all signs of life permanently, which can occur at any time after a person is born. Mortality data can be presented in the form of table called a mortality table, which is a table that provides an overview of the life of a population group starting from births at the same time and life of a population group that starts from birth at the same time and slowly decreases due to death. In actuarial studies, this table has a role as one of the important factors to determine the amount of premium costs and premium reserves, especially life insurance. Therefore, it is necessary for continuity in conducting research related to mortality tables. This research aims to forecast the death rate and the probability of death of the population in the future using the Lee-Carter model, which is a mortality forecasting model that combines a demographic model with a time series model. This mortality model shows that the logarithm of mortality rate is the sum of the parameters of the average general mortality rate by age and the multiplication of the trend parameter of mortality rate changes by age with the mortality index parameter. Forecasting process begins with estimating the parameters of the average mortality rate and the trend of mortality rate changes influenced by the mortality index parameter using the singular value decomposition (SVD) method. After that, the mortality index mortality index is forecasted using the ARIMA model and the results of this forecast are then reinserted into the Lee-Carter model to obtain death rate prediction. Based on the results of the mortality rate prediction, it can then be the prediction of the probability of death for the mortality table. The result of this research is a mortality table that contains predictions of the probability of death of the Indonesian population for both male and female gender using the Lee-Carter model from the year 2022 2026. Based on these results, it is concluded that the value of the probability of death for each year increases with increasing age.</span>

Population stratification based on healthcare trajectories: A method for encouraging adaptive learning at meso level

This paper proposes a method to support population management by evaluating population needs using population stratification based on healthcare trajectories.Reimbursed healthcare consumption data for the first semester of 2017 contained within the inter-mutualist database were analysed to create healthcare trajectories for a subset of the population aged between 60 and 79 (N = 22,832) to identify (1) the nature of health events, (2) key transitions between lines of care, (3) the relative duration of different events, and (4) the hierarchy of events. These factors were classified using a K-mers approach followed by multinomial mixture modelling.Five population groups were identified using this healthcare trajectory approach: “low users”, “high intensity of nursing care”, “transitional care & nursing care”, “transitional care”, and “long time in hospital”.This method could be used by loco-regional governing bodies to learn reflectively from the place where care is provided, taking a systems perspective rather than a disease perspective, and avoiding the one-size-fits-all definition. It invites decision makers to make better use of routinely collected data to guide continuous learning and adaptive management of population health needs.

Cranial fluctuating asymmetry and its relationship with non-specific physiological stress indicators in a contemporary South African cadaveric skeletal sample

ObjectivesBiological anthropologists frequently explore skeletal asymmetry, together with population health and disease. Given the conflicting findings in existing literature, this study aimed to clarify whether an association exists in a South African sample. MaterialsDry bone and cranial micro-focus X-ray Computed Tomography (micro-XCT) scans of 115 South African individuals were assessed. MethodsFluctuating asymmetry (FA) indices were calculated from interlandmark distances, and the frequency of four types of non-specific signs of physiological stress were documented to explore the relationship between FA and disease. ResultsBlack South Africans did not exhibit a high FA index; however, they had the highest prevalence of non-specific signs of physiological stress. However, no significant correlations were detected between FA indices and pathological lesions. ConclusionNo correlation was observed between FA and populations from different socio-economic backgrounds. However, individuals of lower socio-economic status (SES) demonstrated a greater prevalence of non-specific signs of physiological stress. SignificanceThis research suggests that skeletal indicators of stress may be a suitable biological marker for assessing differences in SES among population groups, while indicating that levels of cranial FA is an inadequate biological marker. LimitationsPossible limitations may include measurement error, and the lack of information on the life history and medical records of individuals in this sample. Suggestions for further researchFuture research should include a larger sample with more South African groups, and should evaluate the potential association among age, FA, and expression of skeletal markers of disease.

Opioid-Free Anesthesia and Analgesic Quality During the Postoperative Period of Oncological Breast Surgery

<i>Background: </i>Pain is one of the most common symptoms in cancer patients. We can understand it as a multifactorial phenomenon. Breast cancer surgical treatment generates real damage to the structures and activates nociception which can generate persistent pain. Current anesthetic management is based on the use of opioids, which generate a large number of complications that can severely affect this group of patients, increasing morbidity and mortality. Opioid-free techniques have been shown to reduce complications and generate optimal anesthetic-analgesic management as well as decrease postoperative misuse. The purpose of this research is to compare both approaches and evaluate their impact on this population group. <i>Methods: </i>Simple, prospective, randomized, controlled blind clinical trial in 30 patients undergoing oncological mammary quadrantectomy a. The patients were divided into two groups study, the first (group A) received balanced general anesthesia with opioids as an analgesic strategy, the other group (group B) received general anesthesia balanced opioid-free supplemented with a PECs II regional block and/or Serratus (BRILMA) according to the patient's sonoanatomy, and ketamine-lidocaine as adjuvant drugs. Analgesia was assessed using the numerical pain scale at 2, 4, and 6 o'clock. The severity and impact of pain on the daily performance of patients were measured using the Brief Pain Inventory (BPI) short form in combination with clinical examination, the presence of postoperative complications, the length of stay in hours and the need for rescue with opioids. <i>Results: </i>35% of the patients in group A required analgesic rescue with Tramadol to improve pain postoperative, while in group B only 10% needed it. 33% of the patients in group A completed their postoperative period with nausea and vomiting, while in the opioid-free group the percentage was only 1%. Referring to the length of hospital stay from surgery to discharge, group A was hospitalized for a period of 25 hours (SD=21.2), while group B was there for 15.2 hours (SD=8.7). <i>Conclusions:</i>. Use of opioid-free anesthesia along with adjuvant strategies (drugs and nerve blocks) represent a safe and effective anesthetic strategy related with a lower incidence of complications from the use of opioids in the postoperative period, a lower consumption of analgesic rescues, a decrease in the length of hospitalization and a greater degree of comfort for the patient. This protocol represents an alternative when it comes to providing good intra and postoperative conditions for such a susceptible group of patients.

Problems posed by vitamin D in early childhood

More and more functions related to vitamin D and more pathologies related to its deficiency are known. The deficiency that exists in vitamin D is known at all ages, sexes and throughout the world. But beyond the existing deficiencies in each population group, in this article we intend to analyze how the nutritional situation of this vitamin in pregnant women and during lactation can have influence on the future health of their offspring.

Stable Stratified Correlation and Linear Negative Correlation Between Serum Albumin and Risk of All-Cause Death in Patients with Ischaemic Stroke

AimsTo assess the correlation between serum albumin and all-cause death in patients with ischaemic stroke.MethodsIn this prospective cohort study, a total of 1000 patients with ischemic stroke were included. Multivariate Cox regression analysis, subgroup analysis, receiver operating characteristic (ROC) curve, Kaplan–Meier survival analysis, and restricted cubic spline (RCS) plot were used to assess the association between serum albumin and all-cause death in patients with ischaemic stroke.ResultsA total of 272 patients with ischemic stroke died during a median follow-up of 25 months. Multivariate Cox regression analysis showed that the risk of all-cause death in patients with albumin at T2 (40–43 g/L) and T3 (>43 g/L) was 33.6% and 74.4% lower than that in patients with T1 (<40 g/L), respectively, and the risk of all-cause death decreased by 13.2% for every unit increase in albumin (P < 0.001). Subgroup analysis showed that the correlation between higher levels of albumin and lower risk of all-cause death was significant in all subgroups (P < 0.05). ROC analysis indicated that albumin could predict all-cause death in both the overall population and different sex groups (P < 0.001). Kaplan–Meier survival analysis revealed that with the extension of follow-up time, the higher the albumin, the slower the survival probability decreased (P < 0.001). RCS also established a linear negative correlation between albumin and the risk of all-cause death (P for nonlinearity = 0.092).ConclusionIn patients with ischemic stroke, there was a stable stratified correlation and linear negative correlation between serum albumin and all-cause death risk.

Effects of training load on heart rate variability and blood pressure in track and field athletes and skiers

BACKGROUND: Adaptation of human body to the harsh conditions of the European North remains a topic of ongoing interest, despite numerous studies on the subject. There is a need to study population groups whose daily activities involve physical activity in extreme northern conditions. One such group includes athletes who participate in endurance sports. For athletes engaged in cyclical sports, competitive activities becomes can be particularly demanding, requiring sustained physical exertion and maximum power generation. Training and competing in harsh conditions place significant strain on the body’s cardiovascular regulation mechanisms. Over time, this may result in detrimental structural and biochemical changes in the cardiovascular system. AIM: To identify the patterns of changes in heart rate regulation among track and field athletes and skiers after a training load. MATERIAL AND METHODS: Athletes from the Arkhangelsk region, including skiers and track and field athletes in the mass sports categories, who regularly compete in regional events, took part in the study. The studies took place in the medical offices of sports complexes, where the UPFT-1/30“Psychophysiologist” device was used to record and analyze cardiointervalograms. Blood pressure was recorded before and after training sessions using the Criticare System 8100H monitor. RESULTS: The initial variational span (VR) values of the duration of cardio intervals before exercise were slightly lower than the reference values in both the group of skiers and the group of athletes. At the same time, the mean square deviation (SD) values initially fell within normal range. Following the training load, both groups experienced a statistically significant decrease in SD and VR values, falling below the lower limit of the permissible range. Furthermore, spectral analysis of the cardiac intervals before exercise indicated a high level of neurohumoral regulation. After exercise, there was a statistically significant decrease in the initial values of TP in both groups, aligning with the average level of neurohumoral regulation. CONCLUSION: The results obtained in track and field athletes with a predominant anaerobic training load and skiers with a predominant aerobic load suggest that the training load of a predominantly aerobic nature may lead to less pronounced stress on the regulatory systems. This hypothesis was further supported by the results of the changes in blood pressure.

The effect of prognostic nutritional index on diabetic patients with myocardial infarction

BackgroundThe prognostic nutritional index (PNI), a simple and comprehensive predictor of nutritional and immunological health, is connected to cancer and cardiovascular disease. The effects of PNI on myocardial infarction (MI) in individuals with diabetes remain unclear. Thus, we aim to investigate the correlation of PNI with predictive outcomes in this specific population group to inform therapeutic decision-making.MethodsThis prospective observational study included 417 diabetic patients with MI who underwent coronary angiography intervention at Fujian Medical University Union Hospital from May 2017 to May 2020. We collected follow-up and prognostic data from these patients at 6, 12, 18, and 24 months post-procedure via outpatient visits or phone interviews. The main focus of the study was on major adverse cardiovascular events (MACE) in the two years after surgery. Based on the median PNI, patients were categorized into two groups: high PNI (H-PNI) and low PNI (L-PNI). Data were analyzed using IBM SPSS 25.0. Kalpan-Meier survival curves and Cox proportional hazards regression analysis were utilized to examine the associations between preoperative PNI and the prognosis of diabetic patients with MI.ResultsIn the study, 417 participants were observed for two years. Of these patients, 159 (38.1%) had MACE. According to the Kaplan–Meier curves, patients in the L-PNI group had more MACE than those in the H-PNI group (log-rank p < 0.001) and had a heightened susceptibility to all categories of MACE. After adjusting for confounding variables, the corrected hazard ratio for developing unstable angina in the L-PNI group was 2.55 (95% CI 1.57–4.14, p < 0.001).ConclusionLow PNI levels are associated with MACE after coronary angiography intervention in diabetic patients with myocardial infarction. This highlights the prognostic value of PNI and broadens its potential use in larger populations.Trial registration: Not applicable.

Corruption and Population Health

Population health is an approach to health with the goal of improving the health of an entire human population which includes health outcomes, patterns of health determinants, and policies and interventions. As the population of countries increases, it creates scarcity of resources that will enhance population health. In the midst of this scarce resources’ corruption heightens the unavailability of such resources. High levels of corruption impoverish populations, increase inequality, and cause health status to deteriorate, especially among the most vulnerable population groups. The main determinants of health include: Income and social status, employment and working conditions, education and literacy, childhood experiences, physical environments, Social supports and coping skills, and healthy behaviours. Access to health services, biology and genetic endowment, gender, culture and race / racism are also determinants of health. In absence of corruption there is health equity, which helps to reduce inequalities and seek to promote opportunities and conditions that is conducive to health for all. Addressing corruption complements the right to health, and promotes health equity in order to achieve population health of the people.

Eye Tracking-Based Characterization of Fixations during Reading in Children with Neurodevelopmental Disorders.

An efficient mode of evaluation for eye movements is the use of objective eye tracking systems combined with subjective tests (NSUCO or DEM), which are easily applicable across all age groups and in eye care clinical settings. The objective of this study was to characterize fixations during reading in two groups: a group of children with neurodevelopmental disorders (NDDG, 24 children, age: 6-12 years) and a group of children with oculomotor anomalies but without NDD (OAG, 24 children, age: 6-12 years). The results obtained were compared with those from a control group (CG, 20 children, age: 6-12 years). Specifically, the outcomes obtained with two subjective score systems, the Northeastern State University College of Optometry's Oculomotor (NSUCO) test and the Developmental Eye Movement (DEM) test, were compared with the objective analysis obtained through a commercially available eye tracker (Tobii Eye X, Tobii, Stockholm, Sweden). Specialized analysis software, namely Clinical Eye Tracker 2020 (Thomson Software Solutions, Welham Green, UK), was used. It was found that children with NDD had impaired oculomotor skills. A higher number of regressions, more fixations, and longer durations of fixations appear to be characteristic signs of this population group. Additionally, children with NDD took longer to complete the DEM test, as well as exhibiting more errors. The use of objective videoculographic systems for eye tracking and subjective tests like the NSUCO or DEM are good tools to assess saccadic movements, allowing the detection of oculomotor abnormalities in children with NDD.

E.Co.Tech Breathalyzer: A Pilot Study of a Non-invasive COVID-19 Diagnostic Tool for Light and Non-smokers.

Analysis of exhaled breath offers a noninvasive approach to understanding the metabolic state of the body. This study focuses on the efficacy of an innovative Electrochemical Hand-held Breathalyzer COVID-19 Sensing Technology (E.Co.Tech) for predicting COVID-19 infection, specifically in populations of never or former light smokers. The electrochemical nose technology used in this device aims to discriminate changes in exhaled nitric oxide levels, which are associated with COVID-19-linked respiratory inflammation. The methodology combines the device with a machine learning-based algorithm trained on a diverse data set of breath profiles from both infected and noninfected individuals. A cohort of 46 participants, consisting of never or former light smokers, was recruited. Each participant was tested using the E.Co.Tech prototype device and an iHealth COVID-19 antigen rapid test. The performance of the device was assessed by calculating sensitivity, specificity, positive predictive value, and negative predictive value (NPV). The results demonstrated high specificity (91.11%) and NPV (97.62%) for the device in this demographic group. This case study underscores the potential of E.Co.Tech as a valuable tool for point-of-care COVID-19 diagnosis, particularly in populations with unique smoking histories. The technology's high sensitivity and specificity, along with its rapid results, make it a promising candidate for deployment in resource-limited settings and situations where timely detection is crucial for effective public health management. Further large-scale clinical trials and real-world validations are necessary to establish the device's utility across diverse population groups.

Impact of Dementia in Colorectal Cancer Patients: United States Population-Based Cohort Study.

Various socioeconomic and racial disparities are well-documented for colon cancer. However, the association of dementia, which is a growing cause of mortality in the elderly, remains unexplored. We aim to understand the association between these two conditions, in the elderly population group. We utilized the 2020 National Inpatient Sample to investigate records admitted for colorectal cancer identified through ICD-10 CM codes. We divided records by the presence of dementia. Adjusted odds ratios (aORs) for predefined outcomes were determined using multivariable logistic and linear regression models, adjusting for comorbidities. The primary outcome assessed was inpatient mortality, while secondary outcomes include other inpatient complications. We identified 33,335 hospitalizations with ages more than 60. The mean age was 75.2 and males constituted 50.4%. In a survey multivariable logistic and linear regression model adjusting for patient and hospital factors, utilizing propensity score matching, the presence of dementia is associated with lower inpatient mortality (aOR 0.49, 95% confidence interval [CI] [0.26, 0.92], p=0.03), lower hospitalization costs (beta coefficient -2,823, 95% CI [-5,266, -440], p=0.02), lower odds of acute respiratory failure (aOR 0.54, p=0.01), lower mechanical ventilation usage (aOR 0.26, p<0.01) but higher odds of mental status change (aOR 1.97, 95% CI [1.37, 2.84], p<0.01). The presence of dementia is associated with a lower risk of inpatient mortality, and other clinical outcomes, in colorectal cancer cases admitted for hospitalization. Etiologies behind this relationship should be explored to understand this inverse relationship.

Adult Smoking Cessation - United States, 2022.

Tobacco dependence is a chronic condition driven by nicotine addiction. Successful quitting can be increased by health care provider intervention and evidence-based treatment. CDC assessed national estimates of cigarette smoking cessation indicators among U.S. adults using 2022 National Health Interview Survey data. In 2022, approximately two thirds (67.7%) of the 28.8 million U.S. adults who smoked wanted to quit, and approximately one half (53.3%) made a quit attempt, but only 8.8% quit smoking. One half of adults who smoked and saw a health professional during the past year received health professional advice (50.5%) or assistance (49.2%) to quit smoking. Among those who tried to quit, 38.3% used treatment (i.e., counseling or medication). Adults who usually smoked menthol (versus nonmenthol) cigarettes had higher prevalences of quitting interest (72.2% versus 65.4%; p<0.05) and past-year quit attempts (57.3% versus 50.4%; p<0.05), lower prevalences of receiving quit advice (48.2% versus 53.8%; p<0.05) and using cessation treatment (35.2% versus 41.5%; p<0.05), but similar prevalence of quit success (9.5% versus 7.9%; p = 0.19). Opportunities exist for both public health and health care sectors to increase smoking cessation, including expanding access to and utilization of cessation services and supports. Incorporating equitable cessation strategies into all commercial tobacco prevention and control efforts can help advance and support smoking cessation for all population groups.

Human risk assessment through development and application of a physiologically based toxicokinetic model for 4-tert-octylphenol

4-tert-octylphenol (4-tert-OP) is an ecologically hazardous substance, and exposure to it in the environment has been consistently reported in the past. Despite the hazards and widespread exposure to 4-tert-OP, tools for scientific assessment of 4-tert-OP exposure risk level in humans are lacking. The main purpose of this study was to develop a physiologically-based-toxicokinetic (PBTK) model for 4-tert-OP and to perform quantitative risk assessment of 4-tert-OP in various population groups using the established model. Based on the results of toxicokinetic experiments on male rats, the PBTK model for 4-tert-OP was established and verified, and this was converted to a model for humans through interspecies extrapolation. Based on the previously reported no-observed-adverse-effect-levels for rats, it was possible to estimate the 4-tert-OP reference dose in humans through reverse dosimetry using the model. Biomonitoring data derived from various population groups were applied to the human PBTK model to calculate external exposures and margin of safety for 4-tert-OP for each population group. The PBTK model established in this study adequately explained the toxicokinetic experimental values at acceptable levels and was able to quantitatively predict the 4-tert-OP exposure level in the testes related to male reproductive toxicity. In addition, the degree of external exposure to 4-tert-OP could be scientifically estimated based on biomonitoring values derived from various biological matrices. The reference doses for systemic and reproductive toxicity caused by 4-tert-OP in male humans were calculated to be 0.16 and 1.12 mg/kg/day, respectively. The mean external exposure to 4-tert-OP in each population group estimated based on plasma and urine biomonitoring data was 0.04–66.24 mg/kg/day, showing very large exposure diversity between groups. Exposure risks to 4-tert-OP in populations ranged from safe to risky, suggesting the need for continued monitoring and risk management of 4-tert-OP worldwide. This study provides valuable scientific insight regarding the 4-tert-OP human risk assessment.

Nimble adaptations to sexual and reproductive health service provision to adolescents and young people in the early phase of the COVID-19 pandemic

Early in the COVID-19 pandemic, emerging evidence showed that the provision and use of a range of health services, including sexual and reproductive health (SRH) services, were affected. Otherwise, there was little evidence on whether and how they were adapted to maintain the access of different population groups, including adolescents. The study aims to provide an overview of adaptations to adolescent sexual and reproductive health (ASRH) services carried out during the early phases of the pandemic in low- and middle-income countries (LMICs). The Human Reproduction Program (HRP) at the World Health Organization (WHO) called upon WHO and United Nations Populations Fund (UNFPA) regional offices to reach out to organisations that provided ASRH services to submit analytic case studies using a short-form survey. The study team charted information from 36 case studies and performed a content analysis. Results show that the adaptations covered a wide array of SRH services that were provided to a diverse group of adolescents. Most adaptations focused on SRH education and access to contraception in comparison to other SRH services. Over half of the case studies included mental health services, most of which were not provided before the pandemic. The adaptations varied between being face-to-face, remote, digital, and non-digital. Most adaptations complemented a pre-existing service and were nimble, feasible, and acceptable to the targeted adolescents. Lessons learned from this study could be extrapolated into other humanitarian settings and rapid responses for future public health emergencies, provided that rigorous evaluation takes place.

Prevalence of inflammatory periodontal diseases.

Determining the prevalence of inflammatory periodontal diseases makes it possible to determine the age group most prone to them, which will help to implement correct treatment and prevention measures for persons of this group, aimed at increasing the level of individual and public health of the Republic of Kazakhstan. The purpose of the study was to determine the prevalence of inflammatory periodontal diseases among the population of the city of Astana according to several criteria and to compare data on the statistics of periodontitis incidence from the world and Kazakhstan. The research was conducted using the methods of clinical examinations and statistical data processing. The study involved 642 people aged 18 to 80 years who, within twelve months, applied to dental institutions in the city of Astana and were checked according to the inclusion and exclusion criteria. Clinical studies included determining the level of oral hygiene using the OHI-S simplified oral hygiene index and determining the condition of periodontal tissue using the CPITN periodontal disease treatment need index. It was found that the highest prevalence of various forms of gingivitis and periodontitis was observed in the 66-80 age group - 99% and 69%, respectively. The general distribution in all groups indicated a directly proportional relationship between the frequency of detection of inflammatory periodontal diseases and the age of the group participants. A comparison of data on the incidence of periodontal disease in the world and in Kazakhstan showed a 3.52% lower incidence rate in Kazakhstan compared to the world average. The use of regular and timely preventive and treatment measures for the population group most prone to inflammatory periodontal diseases will make it possible to improve the state of individual health of the population and, accordingly, raise the level of public health.