Population Groups Research Articles

Characteristic Features of Dietary Patterns and Physical Activity among Medical Students

Introduction This paper deals with the investigation of controlled risk factors associated with body weight disorders of young people with overweight and obesity. Authors are convinced that the formation of a conscious attitude to health in youth and early diagnosis of any abnormalities through the dynamic monitoring of adolescents and young people with excess body weight could help in the solution to this problem. Methods Statistical and sociological methods were used during the investigation. 80 students from a medical university participated in this research. In the survey, Google Forms online application were used. The authors followed all the principles of bioethics and medical deontology in conformity with the requirements of the Helsinki Declaration. The questionnaire contained points about the diet, food habits and preferences, socio-economic status of the respondent’s family, the level of their physical activity, knowledge about a healthy lifestyle, and relationships in the group. Results The primary processing of the obtained data was carried out using the methods of descriptive and analytical statistics with the provision of results in the form of relative indicators (Р, %) with an error (m, p). The specificity of the eating behavior of youth was connected with the absence of a food regime, the multiplicity of meals, and the low level of eating culture (lack of a permanent place to eat or eating in front of a computer or TV). Moreover, such habits, like eating before going to bed, eating under stress, or frequently visiting fast food restaurants, were typical for this group of population. A large number of young people were found to be prone to use advertised products. Conclusion Young people’s awareness of healthy nutrition has been found to be insufficient, and the level of physical activity in the studied group as unsatisfactory. Significant features of physical activity associated with maladaptive eating behavior have been observed to be a lack of physical activity on weekdays, absence of morning gymnastics, failure to comply with the norms of rational nutrition in the family, or low level of information about healthy nutrition.

A Qualitative Study on the Conceptualisation of Mental Health Amongst South Korean Migrants to Australia

An increase in global awareness of the mental health needs of migrant communities, and recognition of the underutilisation of support services by these communities, has prompted calls for culturally appropriate and competent interventions to address their needs. Providing such culturally effective treatment and mental health services, particularly for culturally and linguistically diverse (CALD) subgroups, requires understanding their perspectives on mental health. This research was led by a migrant from South Korea, living, studying, and working in Australia, and explored how South Korean migrants to Australia talk about mental health and what they need to support their mental health. A qualitative study was conducted via telephone or online web-conferencing using semi-structured interviews. A critical realist approach facilitated consideration and understanding of themes addressing participant perspectives of what promoted South Korean migrants’ mental health in the Australian context. All interviews were thematically analysed, and three major themes centred around (shifting) cultural norms were identified. These were increasing individualism (e.g., through self-discovery); the expression of individually new-found norms; and issues around belonging in society. The purpose of this article is to translate these findings into counselling practice and community initiatives to provide practitioners with greater insights into concepts this population group has identified as impacting their mental health.

Analyzing the effects of drought at different time scales on cause-specific mortality in South Africa

South Africa (SA) is highly vulnerable to the effects of drought on the environment, economy, and society. However, its effect on human health remains unclear. Understanding the mortality risk associated with different types of droughts in different population groups and by specific causes would help clarify the potential mechanisms involved. The study aims to comprehensively assess the effect of droughts of varying time scales on cause-specific mortality (all; infectious and parasitic; endocrine, nutritional, and metabolic; cardiovascular; respiratory) in SA (from 2009–2016) and identify more vulnerable profiles based on sex and age. We also evaluated the urbanicity and district-level socioeconomic deprivation as potential risk modifiers. We used a two-stage time-series study design, with the weekly standardized precipitation-evapotranspiration index (SPEI) calculated at 1, 6, 12, and 15 months of accumulation to identify droughts of different duration (SPEI1, 6, 12, 15, respectively). We applied a quasi-Poisson regression adjusted by mean temperature to assess the association between each type of drought and weekly mortality in all district municipalities of SA, and then pooled the estimates in a meta-regression model. We reported relative risks (RRs) for one unit increase of drought severity. Overall, we found a positive association between droughts (regardless the time scale) and all causes of death analyzed. The strongest associations were found for the drought events more prolonged (RR [95%CI]: 1.027 [1.018, 1.036] (SPEI1); 1.035 [1.021, 1.050] (SPEI6); 1.033 [1.008, 1.058] (SPEI12); 1.098 [1.068, 1.129] (SPEI15)) and respiratory mortality (RRs varied from 1.037 [1.021, 1.053] (SPEI1) to 1.189 [1.14, 1.241] (SPEI15)). An indication of greater vulnerability was found in younger adults for the shortest droughts, in older adults for medium-term and long-term droughts, and children for very long-term droughts. However, differences were not significant. Further evidence of the relevance of urbanicity and demographic and socioeconomic conditions as potential risk modifiers is needed.

Changes in body weight in various population groups in Poland during the COVID-19 pandemic – a comparison of two cross-sectional studies

Changes in body weight in various population groups in Poland during the COVID-19 pandemic – a comparison of two cross-sectional studies

Communicating the Privacy-Utility Trade-off: Supporting Informed Data Donation with Privacy Decision Interfaces for Differential Privacy

Data collections, such as those from citizen science projects, can provide valuable scientific insights or help the public to make decisions based on real demand. At the same time, the collected data might cause privacy risks for their volunteers, for example, by revealing sensitive information. Similar but less apparent trade-offs exist for data collected while using social media or other internet-based services. One approach to addressing these privacy risks might be to anonymize the data, for example, by using Differential Privacy (DP). DP allows for tuning and, consequently, communicating the trade-off between the data contributors' privacy and the resulting data utility for insights. However, there is little research that explores how to communicate the existing trade-off to users. % We contribute to closing this research gap by designing interactive elements and visualizations that specifically support people's understanding of this privacy-utility trade-off. We evaluated our user interfaces in a user study (N=378). Our results show that a combination of graphical risk visualization and interactive risk exploration best supports the informed decision, \ie the privacy decision is consistent with users' privacy concerns. Additionally, we found that personal attributes, such as numeracy, and the need for cognition, significantly influence the decision behavior and the privacy usability of privacy decision interfaces. In our recommendations, we encourage data collectors, such as citizen science project coordinators, to communicate existing privacy risks to their volunteers since such communication does not impact donation rates. %Understanding such privacy risks can also be part of typical training efforts in citizen science projects. %DP allows volunteers to balance their privacy concerns with their wish to contribute to the project. From a design perspective, we emphasize the complexity of the decision situation and the resulting need to design with usability for all population groups in mind. % We hope that our study will inspire further research from the human-computer interaction community that will unlock the full potential of DP for a broad audience and ultimately contribute to a societal understanding of acceptable privacy losses in specific data contexts.

Sexual dimorphism and topological variability in fingerprint ridge density in a north-west Indian population.

The science of fingerprints is very crucial in criminal investigation as it helps identify perpetrators or victims of a crime. Fingerprint ridge density (FPRD), which refers to the number of ridges within a specific area on the epidermal skin layer of the distal phalanges in humans, has been found to differ between males and females. This study attempts to estimate the sex from FPRD and evaluates the diversity in FPRD across several topological areas. The study involves 208 participants (120 males, 88 females) between the ages 18 to 25years from a North-west Indian population. Fingerprints were collected, and FPRD was accessed in radial, ulnar, and proximal areas as recommended by Gutierrez-Redomero et al. (Forensic Sci Int 180(1):17-22, 2008). FPRD has been quantified using the techniques described by Acree (Forensic Sci Int 102(1):35-44, 1999). When evaluating FPRD in the lateral pocket loops and twin loops, the proximal-side core was considered. The study reveals that males have a mean fingerprint ridge density of 12.82 ridges/25 mm2 while females have 13.01 ridges/25 mm2. Females have higher fingerprint ridge density solely in the proximal area; males have higher fingerprint ridge density in both radial and ulnar areas. In conclusion, this research underscores the potential of fingerprint ridge density as a parameter for investigating population variations and individual identification. Future studies on fingerprint ridge density in India's diverse population will help establish reference ranges, allowing for sex and likely population group estimation, making it a valuable tool for preliminary examinations and exclusion criteria for sex estimation in crime scene investigations.

[Translated article] Current situation and evolution of the availability of drugs in the pediatric population in Spain

ObjectiveTo analyze the characteristics of the new medicines approved in the pediatric population in the last 3 years, both those with studies only in the pediatric population and those that extend their indication in this population group, as well as the current situation in relation to their marketing and financing. MethodsDescriptive observational study of all drugs that include an indication in the pediatric population in Spain (by extension of the indications of drugs already authorized or because they are new drugs that already include an indication in this population group), from January 2019 to March 2022. ResultsDuring the study period, 129 drugs included their indication in the pediatric population. 13.9% of them are not marketed, 46.5% are in a situation of non-financing, under study or without a request for financing, and 4.6% are financed for a specific pediatric subpopulation. 52.7% are original drugs, 4.7% are generic, 38.8% are biological, 3.8% are biosimilar, and 17.8% are orphan drugs. 57.36% of these medicines obtain the pediatric indication due to extension of the indication and 42.64% obtain it because they are new medicines that already include their studies in the pediatric population. ConclusionsDrugs with authorized indications are increasingly available in the pediatric population and the trend is to extend the indication of authorized drugs to the adult population. However, barriers in terms of financing and marketing need to be expedite and overcome to facilitate access to them.

Impact of COVID-19 Pandemic on Social Determinants of Health Issues of Marginalized Black and Asian Communities: A Social Media Analysis Empowered by Natural Language Processing.

This study aims to understand the impact of the COVID-19 pandemic on social determinants of health (SDOH) of marginalized racial/ethnic US population groups, specifically African Americans and Asians, by leveraging natural language processing (NLP) and machine learning (ML) techniques on race-related spatiotemporal social media text data. Specifically, this study establishes the extent to which Latent Dirichlet Allocation (LDA) and Gibbs Sampling Dirichlet Multinomial Mixture (GSDMM)-based topic modeling determines social determinants of health (SDOH) categories, and how adequately custom named-entity recognition (NER) detects key SDOH factors from a race/ethnicity-related Reddit data corpus. In this study, we collected race/ethnicity-specific data from 5 location subreddits including New York City, NY; Los Angeles, CA; Chicago, IL; Philadelphia, PA; and Houston, TX from March to December 2019 (before COVID-19 pandemic) and from March to December 2020 (during COVID-19 pandemic). Next, we applied methods from natural language processing and machine learning to analyze SDOH issues from extracted Reddit comments and conversation threads using feature engineering, topic modeling, and custom named-entity recognition (NER). Topic modeling identified 35 SDOH-related topics. The SDOH-based custom NER analyses revealed that the COVID-19 pandemic significantly impacted SDOH issues of marginalized Black and Asian communities. On average, the Social and Community Context (SCC) category of SDOH had the highest percent increase (366%) from the pre-pandemic period to the pandemic period across all locations and population groups. Some of the detected SCC issues were racism, protests, arrests, immigration, police brutality, hate crime, white supremacy, and discrimination. Reddit social media platform can be an alternative source to assess the SDOH issues of marginalized Black and Asian communities during the COVID-19 pandemic. By employing NLP/ML techniques such as LDA/GSDMM-based topic modeling and custom NER on a race/ethnicity-specific Reddit corpus, we uncovered various SDOH issues affecting marginalized Black and Asian communities that were significantly worsened during the COVID-19 pandemic. As a result of conducting this research, we recommend that researchers, healthcare providers, and governments utilize social media and collaboratively formulate responses and policies that will address SDOH issues during public health crises.

Higher consumption of ultra-processed foods is associated with obesity and abdominal obesity in socially vulnerable Brazilian women.

This study aimed to assess the consumption of ultra-processed foods (UPF) and identify their association with obesity and abdominal obesity in adult women of reproductive age living insituations of social vulnerability in Maceió, Northeastern Brazil. This was a cross-sectional study carried out between October 2020 and May 2021. An anthropometric evaluation was carried out to assess obesity and abdominal obesity. A dietary assessment was also conducted using a 24-h food recall to determine the calorie intake from UPF. To estimate intra-individual variability in food consumption, the probabilistic Multiple Source Method was used. These data in the form of tertiles were used to analyse the association between the consumption of UPF and obesity and abdominal obesity. Logistic regressions were used to analyse the association. A directed acyclic graph (DAG) was created for this analysis. This study included 1702 women of which 53.7% were 31 years old or older, and 74.2% lived in poverty. It identified that 36.5% and 38.1% of the women had obesity and abdominal obesity, respectively, and that an average of 33.8% of calories consumed came from UPF. In the analysis of association guided by the DAG, it was observed that women with a high-calorie intake from UPF had a 1.3 times higher probability of being obese. It was also observed that women with a moderate and high-calorie intake from UPF were 1.4 and 1.3 times more likely, respectively, to have abdominal obesity. Thus, it can be concluded that socially vulnerable women in Brazil have a relatively high consumption of UPF and that this condition increases the probability of obesity in this population group.

Exploring cranial macromorphoscopic variation and classification accuracy in a South African sample.

To date South African forensic anthropologists are only able to successfully apply a metric approach to estimate population affinity when constructing a biological profile from skeletal remains. While a non-metric, or macromorphoscopic approach exists, limited research has been conducted to explore its use in a South African population. This study aimed to explore 17 cranial macromorphoscopic traits to develop improved methodology for the estimation of population affinity among black, white and coloured South Africans and for the method to be compliant with standards of best practice. The trait frequency distributions revealed substantial group variation and overlap, and not a single trait can be considered characteristic of any one population group. Kruskal-Wallis and Dunn's tests demonstrated significant population differences for 13 of the 17 traits. Random forest modelling was used to develop classification models to assess the reliability and accuracy of the traits in identifying population affinity. Overall, the model including all traits obtained a classification accuracy of 79% when assessing population affinity, which is comparable to current craniometric methods. The variable importance indicates that all the traits contributed some information to the model, with the inferior nasal margin, nasal bone contour, and nasal aperture shape ranked the most useful for classification. Thus, this study validates the use of macromorphoscopic traits in a South African sample, and the population-specific data from this study can potentially be incorporated into forensic casework and skeletal analyses in South Africa to improve population affinity estimates.

Repeated colonization of the Northern Limestone Alps from the Southern Limestone Alps by the rock‐dwelling snail species Cochlostoma henricae

AbstractHausdorf, B., Xu, J., BAMBERGER, S. (2024) Repeated colonization of the Northern Limestone Alps from the Southern Limestone Alps by the rock‐dwelling snail species Cochlostoma henricae—Zoologica Scripta, 00, 000–000. The evolution of biogeographic disjunctions in the Southern and Northern Limestone Alps has been studied only in a few taxa. Cochlostoma henricae (Strobel, 1851) is a land snail species restricted to limestone rocks showing such disjunctions. We studied the phylogeny and population structure of this species using genomic ddRAD data to better understand the differentiation of the species in the Southern Alps and the origin of the isolated occurrences in the Northern Limestone Alps. Phylogenetic and population‐genetic analyses of the ddRAD data revealed a subdivision of the C. henricae populations into a western cluster and an eastern cluster. These clusters were probably separated by glaciers that extended from the Piave Valley to the margin of the Alps. Such a longitudinal subdivision is a common pattern of several species in the Southern Limestone Alps. However, the boundaries between western and eastern population groups differ between taxa. Cochlostoma henricae colonized the Northern Limestone Alps at least twice. The population from Breitenwang in Tyrol originated from the western group, whereas the occurrences in the Salzkammergut are from the eastern group. These and similar disjunctions of several other land snails show that even species with limited dispersal abilities could cross the Alps repeatedly by passive long‐distance dispersal events. A subdivision of C. henricae into three subspecies, proposed based on shell characters, does not correspond to its population‐genetic structure. Instead, the eastern and western population groups represent distinct evolutionary units.

Urban public transport system accessibility for different groups of residents: Case of Bratislava city

The main goal of the article is to characterize the functioning of the Urban Public Transport System (UPTS) in the capital city of the Slovak Republic (Bratislava) during different time periods (morning rush, evening, night, average working day, and weekend − Sunday) and express its accessibility for various groups of city residents (low-income households, unemployed individuals, seniors (age 60+), children (age 0–14), women (for comparison, men as well). To achieve this goal, we combined datasets of UPTS in Bratislava with the pedestrian communication network and identified an effective service area for which we subsequently determined the sizes of the respective population groups of residents. Finally, we verified the functionality of the entire UPTS model by measuring the accessibility of the selected destination, Ružinov Hospital. Our results could be summarized as follows: The functioning of UPTS is very similar during the morning rush, evening, average working day (Monday to Friday), and weekend − Sunday. During these time periods, approximately the same main lines operate, and there is a higher utilization of the same transfer points. The difference lies mainly in the frequency of departures of specific lines. During the night, the system operates based on different lines compared to the daytime, with transfers possible only at one central point/corridor. This fact also affects the usability and accessibility of UPTS, reflected in the accessibility of Ružinov Hospital, which is very limited during the night-time period. However, the accessibility of the hospital by UPTS is higher for the unemployed residents, low-income individuals, and children than the overall residents average, which is also reflected in the distribution of women. A negative aspect is that UPTS is less accessible for seniors. It must be said that this fact varies significantly in the heterogeneous spatial layout of the city. This was confirmed in our measurement of the accessibility to Ružinov Hospital, where seniors have roughly the same level of accessibility as the overall residents average.

Cardiovascular Disease Prevalence in Asians Versus Americans: A Review of Genetics, Diet, and the Call for Enhanced Prevention and Screening.

Cardiovascular disease (CVD) continues to pose a global health challenge, demonstrating significant disparities in occurrence among various populations. A wide number of research studies have indicated a higher prevalence of cardiovascular disease in South Asian immigrants compared to the local American population. The demand to improve the cardiovascular benefits of immigrants is increasing, which calls for further research with larger and more diverse population samples. This study will investigate the major causes of this variation, which include genetically diverse characteristics and changes in nutritional status among the study population groups. To assess the increase in the prevalence of cardiovascular disease among South Asian populations compared to the US population, a narrative review of accessible data is carried out. The data in support of the present document are from the Centre for Disease Prevention and Control, Statistics for Heart Diseases and Stroke 2023, a trend analysis about incidences of cardiac diseases and global burden in 2017, all dating back to the last two decades. Relevant articles from PubMed and Google Scholar have also been included, as appropriate, and their references are provided wherever necessary. Graphs for the geographical variations in disease incidence are produced using Microsoft Excel (Microsoft® Corp., Redmond, WA). The review shows that there is a significant decline in the prevalence of CVD among American citizens when compared to the steady increase in the number of cases among South Asians, which is attributed to the unique genetic predisposition of South Asians to be more prone to CVDs. The changing dietary habits also play an important role in the fall in HDL levels in South Asians when compared to Americans. This is driven by genetic disparities, including the APOA1 and APOA2 genes, and nutritional disparities, including variance in quality and quantity of dietary consumption. Addressing the escalating cases of CVDamong South Asians necessitates additional research to enhance proactive preventive measures and implement screening programs specifically tailored to address prevalent risk factors within the population.

The Power of Vitamin D: Is the Future in Precision Nutrition through Personalized Supplementation Plans?

In the last few decades, vitamin D has undeniably been one of the most studied nutrients. Despite our ability to produce vitamin D through sunlight exposure, its presence in several natural food sources and fortified foods, and its widespread availability as a dietary supplement, vitamin D deficiency is a serious public health problem, affecting nearly 50% of the global population. Low serum levels of vitamin D are being associated with increased susceptibility to numerous health conditions, including respiratory infections, mental health, autoimmune diseases, and different cancer types. Although the association between vitamin D status and health is well-established, the exact beneficial effects of vitamin D are still inconclusive and indefinite, especially when considering the prevention and treatment of different health conditions and the determination of an appropriate dosage to exert those beneficial effects in various population groups. Therefore, further research is needed. With constant improvements in our understanding of individual variations in vitamin D metabolism and requirements, in the future, precision nutrition and personalized supplementation plans could prove beneficial.

Intensive care unit admission criteria: a scoping review

Background: Effectively identifying deteriorated patients is vital to the development and validation of automated systems designed to predict clinical deterioration. Existing outcome measures used for this purpose have significant limitations. Published criteria for admission to high acuity inpatient areas may represent markers of patient deterioration and could inform the development of alternate outcome measures. Objectives: In this scoping review, we aimed to characterise published criteria for admission of adult inpatients to high acuity inpatient areas including intensive care units. A secondary aim was to identify variables that are extractable from electronic health records (EHRs). Data sources: Electronic databases PubMed and ProQuest EBook Central were searched to identify papers published from 1999 to date of search. We included publications which described prescriptive criteria for admission of adult inpatients to a clinical area with a higher level of care than a general hospital ward. Charting methods: Data was extracted from each publication using a standardised data-charting form. Admission criteria characteristics were summarised and cross-tabulated for each criterion by population group. Results: Five domains were identified: diagnosis-based criteria, clinical parameter criteria, organ-support criteria, organ-monitoring criteria and patient baseline criteria. Six clinical parameter-based criteria and five needs-based criteria were frequently proposed and represent variables extractable from EHRs. Thresholds for objective clinical parameter criteria varied across publications, and by disease subgroup, and universal cut-offs for criteria could not be elucidated. Conclusions: This study identified multiple criteria which may represent markers of deterioration. Many of the criteria are extractable from the EHR, making them potential candidates for future automated systems. Variability in admission criteria and associated thresholds across the literature suggests clinical deterioration is a heterogeneous phenomenon which may resist being defined as a single entity via a consensus-driven process.

The Effect of 16-Week Progressive Circuit Training Program on the Health and Skill-Related Fitness Parameters of Overweight University Students

Study purpose. This study examines the effect of a 16-week interval progressive circuit training program on the skill and health-related fitness of overweight university students. Materials and methods. A total of 72 university students underwent health and skill-related fitness tests before and after a 16-week progressive circuit training program. Paired sample t-tests and Wilcoxon signed-rank tests were used to determine differences between pre- and post-tests. Results. Significant decrease in BMI, cardiovascular endurance, agility, speed and reaction time was observed after a 16 week progressive circuit training program (p ≤ 0.05). In contrast, strength, flexibility, coordination and power increased significantly (p ≤ 0.05). The 16-week interval progressive circuit training programme has a positive effect on the physical fitness among the study participants. Conclusions. The findings encourage further research into optimized training protocols, long-term sustainability of improvements, and tailored applications for specific population groups, ultimately advancing our understanding of the multifaceted benefits of interval progressive circuit training.

Factors Affecting Abdominal Obesity: Analyzing National Data.

The purpose of this study is to understand the factors affecting abdominal obesity. A secondary data analysis was conducted to analyze 5262 individuals' data from the 2020 Korea National Health and Nutrition Examination Survey. The prevalence of obesity was slightly higher in men than women, while abdominal obesity was more prevalent in women. A higher correlation with obesity was observed in young and middle-aged individuals, unmarried individuals, urban residents, those with good subjective health, low-stress perception, moderate alcohol consumption, nonsmokers, regular aerobic exercisers, and those getting more than seven hours of sleep. In contrast, middle-aged and elderly individuals, married individuals, rural residents, those with an elementary school or lower education level, those with low-to-moderate income, those with fair or poor subjective health, high stress perception, nondrinkers, smokers, nonregular aerobic exercisers, and those getting less than seven hours of sleep had a higher correlation with abdominal obesity. Health education suggests that everyone should maintain healthy lifestyle habits, such as getting sufficient sleep, exercise, smoking cessation, and moderate drinking. Specifically, diverse health management support focusing on population groups with demographic factors related to the risk of obesity and abdominal obesity is necessary.

Understanding the impacts of ecological compensation policies on energy poverty: insights from forest communities in Zhejiang, China

Ecological compensation policies (ECPs) designed to promote sustainable resource usage have seen widespread implementation. However, the intricate interplay between such policies, rural livelihoods, and residential energy consumption within the socioecological system (SES) remains underexplored. Based on household data from forest communities in Zhejiang, China, this study investigates the impact of a forest ECP on local household energy poverty through the mediating effect of household livelihood and energy consumption structure. The results reveal a significant reduction in the risk of energy poverty attributable to the policy. This effect is mediated by the improvement in household livelihood outcomes and the modernization of energy consumption patterns, both individually and collectively following the implementation of the policy. Such impacts vary across regions and population groups. We recommend improving support systems and fostering livelihoods and energy transitions to achieve long-term sustainable goals.

The changing health effects of air pollution exposure for respiratory diseases: a multicity study during 2017–2022

BackgroundMultifaceted SARS-CoV-2 interventions have modified exposure to air pollution and dynamics of respiratory diseases. Identifying the most vulnerable individuals requires effort to build a complete picture of the dynamic health effects of air pollution exposure, accounting for disparities across population subgroups.MethodsWe use generalized additive model to assess the likely changes in the hospitalisation and mortality rate as a result of exposure to PM2.5 and O3 over the course of COVID-19 pandemic. We further disaggregate the population into detailed age categories and illustrate a shifting age profile of high-risk population groups. Additionally, we apply multivariable logistic regression to integrate demographic, socioeconomic and climatic characteristics with the pollution-related excess risk.ResultsOverall, a total of 1,051,893 hospital admissions and 34,954 mortality for respiratory disease are recorded. The findings demonstrate a transition in the association between air pollutants and hospitalisation rates over time. For every 10 µg/m3 increase of PM2.5, the rate of hospital admission increased by 0.2% (95% CI: 0.1–0.7%) and 1.4% (1.0–1.7%) in the pre-pandemic and dynamic zero-COVID stage, respectively. Conversely, O3-related hospitalization rate would be increased by 0.7% (0.5–0.9%) in the pre-pandemic stage but lowered to 1.7% (1.5–1.9%) in the dynamic zero-COVID stage. Further assessment indicates a shift of high-risk people from children and young adolescents to the old, primarily the elevated hospitalization rates among the old people in Lianyungang (RR: 1.53, 95%CI: 1.46, 1.60) and Nantong (RR: 1.65, 95%CI: 1.57, 1.72) relative to those for children and young adolescents. Over the course of our study period, people with underlying diseases would have 26.5% (22.8–30.3%) and 12.7% (10.8–14.6%) higher odds of having longer hospitalisation and over 6 times higher odds of deaths after hospitalisation.ConclusionsOur estimates provide the first comprehensive evidence on the dynamic pollution-health associations throughout the pandemic. The results suggest that age and underlying diseases collectively determines the disparities of pollution-related health effect across population subgroups, underscoring the urgency to identifying the most vulnerable individuals to air pollution.

Determination of anthropometric measurements and their application in the development of clothing sizing systems for women in the regions of the Republic of Croatia

Abstract The aim of this article is to determine the differences in the physical dimensions of the female body that form the basis of the clothing size system and compare their deviations within the three regions of the Republic of Croatia. Due to the changes in the dimensions and shape of the human body, there is a need to adjust clothing in order to achieve the best possible fit. A systematic consideration of the fit of clothing includes investigation of a number of elements and factors, especially those based on anthropometric knowledge. The results of anthropometric measurements performed on a representative sample determine the body dimensions of the measured population. By sorting and grouping the data of body measurements, clothing sizes are created, with significant differences in body shape and body proportions of individual population groups. In the clothing size system, individual body dimensions define the clothing size and form a scale determined by a norm that prescribes body shape based on two dimensions of girths, where the measurement of bust girth is the basic measurement, and the body height is the dependent variable. This research was carried out on a sample of 940 women from the region of Slavonia, 1,109 women from the region of Dalmatia, and 799 women from the City of Zagreb, classified into seven age groups. The statistical processing of the results, i.e., the method of principal components, the values of the observed body measurements, and the representation of certain categories of bust girth and body size in the measured population of each region were determined.