A systematic review of approaches to assess fish health responses to anthropogenic threats in freshwater ecosystems.

Anthropogenic threats such as water infrastructure, land-use changes, overexploitation of fishes and other biological resources, invasive species and climate change present formidable challenges to freshwater biodiversity. Historically, management of fish and fishery species has largely been based on studies of population- and community-level dynamics; however, the emerging field of conservation physiology promotes the assessment of individual fish health as a key management tool. Fish health is highly sensitive to environmental disturbances and is also a fundamental driver of fitness, with implications for population dynamics such as recruitment and resilience. However, the mechanistic links between particular anthropogenic disturbances and changes in fish health, or impact pathways, are diverse and complex. The diversity of ways in which fish health can be measured also presents a challenge for researchers deciding on methods to employ in studies seeking to understand the impact of these threats. In this review, we aim to provide an understanding of the pathway through which anthropogenic threats in freshwater ecosystems impact fish health and the ways in which fish health components impacted by anthropogenic threats can be assessed. We employ a quantitative systematic approach to a corpus of papers related to fish health in freshwater and utilize a framework that summarizes the impact pathway of anthropogenic threats through environmental alterations and impact mechanisms that cause a response in fish health. We found that land-use changes were the most prolific anthropogenic threat, with a range of different health metrics being suitable for assessing the impact of this threat. Almost all anthropogenic threats impacted fish health through two or more impact pathways. A robust understanding of the impact pathways of anthropogenic threats and the fish health metrics that are sensitive to these threats is crucial for fisheries managers seeking to undertake targeted management of freshwater ecosystems.

Association between meeting 24-h movement guidelines and health in children and adolescents aged 5-17 years: a systematic review and meta-analysis.

Twenty-four-hour movement behaviors have significant implications for physical and mental health throughout one's lifespan. Consistent with movement behaviors, several countries have formulated and published 24-h movement guidelines. This review summarized the studies related to 24-h movement guidelines among children and adolescents from six databases (MEDLINE, EMBASE, PubMed, Web of Science, CINAHL, and SPORTDiscus). In a total of 61 studies that discussed compliance with 24-h movement guidelines, the overall adherence rate was very low (7.1%), with boys exceeding girls, children surpassing adolescents, and regional differences. A total of 39 studies examined the associations between 24-h movement guidelines and health indicators. Findings indicated that meeting all three guidelines was favorably associated with adiposity, cardiometabolic health, mental and social health, physical fitness, health-related quality of life, academic achievement, cognitive development, perceived health, dietary patterns, and myopia. Future research should utilize longitudinal and experimental designs to enhance our understanding of the associations between 24-h movement guidelines and health indicators, thereby aiding the formulation and refinement of such guidelines. Systematic review registration: https://www.crd.york.ac.uk/prospero/, CRD42023481230.

Trends in Arthritis Prevalence and Associated Chronic Health Indicators Among Adults: Insights From the Behavioral Risk Factor Surveillance System (BRFSS) Database.

Background Arthritis is a prevalent, chronic condition with significant implications for morbidity and healthcare utilization. Understanding trends in arthritis prevalence and associated chronic health indicators is vital for informing public health interventions and healthcare policies. Objective This retrospective study aimed to analyze trends in arthritis prevalence and associated chronic health indicators among adults using data from the Behavioral Risk Factor Surveillance System (BRFSS) database. Methods This retrospective study utilized data from the BRFSS database covering 2019 to 2022. Participants included United States adults aged 18 years and older who completed BRFSS surveys during the specified period. Primary variables included arthritis prevalence and its correlation with chronic health indicators and demographics. Data collection involved standardized telephone questionnaires administered annually, with rigorous attention to data quality and consistency. Prevalence estimates were calculated using weighted proportions, and statistical analysis utilized analysis of variance (ANOVA). Results The study revealed relatively stable arthritis prevalence over the study period, with notable demographic variations. Arthritis prevalence remained stable (2019: 43.3%, 2021: 42.5%). Females consistently had higher rates than males (2019: 45%, 2021: 44.9%). Activity limitation, joint pain, and work limitation were more prevalent in arthritis patients. White, non-Hispanic individuals had higher rates than other groups. Physical inactivity increased from 2019 (29.4%) to 2022 (72.4%), particularly in males. Counseling for physical activity was lower in males. Targeted interventions are needed to address these disparities and improve arthritis management. Conclusion This study provides insights into trends in arthritis prevalence and associated chronic health indicators among United States adults. The findings underscore the importance of considering demographic factors in arthritis prevention and management strategies. Targeted interventions promoting physical activity counseling, particularly among high-risk populations, are warranted to address the rising trend of physical inactivity among individuals with arthritis.

Integron-associated genes are reliable indicators of antibiotic resistance in wastewater despite treatment- and seasonality-driven fluctuations.

The present study aims to characterize the bacterial community, resistome and integron abundance of a municipal wastewater treatment plant (WWTP) over the course of 12 months and evaluate the year-long performance of integron-related genes as potential indicators of antibiotic resistance mechanisms in influents and effluents. For that, total DNA was extracted and subjected to 16S rRNA-targeted metabarcoding, high-throughput (HT) qPCR (48 targets) and standard qPCR (5 targets). Targets included integrase genes, antibiotic resistance genes (ARGs) and putative pathogenic groups. A total of 16 physicochemical parameters determined in the wastewater samples were also considered. Results revealed that the WWTP treatment significantly impacted the bacterial community, as well as the content in ARGs and integrase genes. Indeed, there was a relative enrichment from influent to effluent of 13 pathogenic groups (e.g., Legionella and Mycobacterium) and genes conferring resistance to sulphonamides, aminoglycosides and disinfectants. Effluent samples (n = 25) also presented seasonal differences, with an increase of the total ARGs' concentration in summer, and differences between winter and summer on relative abundance of sulphonamide and disinfectant resistance mechanisms. From the eight putative integron-related genes selected, all were positively correlated with the total ARGs' content in wastewater and the relative abundance of resistance to most of the specific antibiotic classes. The genes intI1, blaGES and qacE∆1 were the most strongly correlated with the total concentration of ARGs. Genes blaGES and blaVIM, were better correlated to resistance to beta-lactams, aminoglycosides and tetracyclines. This study supports the use of integron-related genes as powerful indicators of antibiotic resistance in wastewater, being robust despite the variability caused by wastewater treatment and seasonality.

Validating Constructs of the Depression, Anxiety, and Stress Scale-21 and Exploring Health Indicators to Predict the Psychological Outcomes of Students Enrolled in the Pacific Islands Cohort of College Students.

The Depression, Anxiety, and Stress Scale-21 (DASS-21) has been used in various countries to assess the mental states of individuals. The objectives of this study were to validate the DASS-21 for use in Guam, an island that endures a high burden of mental health challenges, such as suicide, and examine the predictive impact of selected health indicators on DASS-21 variables. Three years of data (2017-2019) were pooled from the Pacific Islands Cohort of College Students (PICCS) study conducted annually at the University of Guam. In total, 726 students were included in the secondary data analysis. MPlus statistical software was used to perform a confirmatory factor analysis (CFA) for the validation and structural equation modeling (SEM) for the predictive modeling. The results from the CFA suggested an acceptable model fit (RMSEA: 0.073, CFI: 0.901, TLI: 0.889, RMR: 0.044), while SEM suggested that sleep quality and physical activity were significant predictors of DASS-21 variables. Therefore, the DASS-21 is a valid instrument for measuring depression, anxiety, and stress among emerging adults in Guam.

Dietary microalgal-fabricated selenium nanoparticles improve Nile tilapia biochemical indices, immune-related gene expression, and intestinal immunity.

BACKGROUND: Feed supplements, including essential trace elements are believed to play an important role in augmenting fish immune response. In this context, selenium nanoparticles (SeNPs) in fish diets via a green biosynthesis strategy have attracted considerable interest. In this investigation, selenium nanoparticles (SeNPs, 79.26 nm) synthesized from the green microalga Pediastrum boryanum were incorporated into Nile tilapia diets to explore its beneficial effects on the immune defense and intestinal integrity, in comparison with control basal diets containing inorganic Se source. Nile tilapia (No. 180, 54-57 g) were fed on three formulated diets at concentrations of 0, 0.75, and 1.5 mg/kg of SeNPs for 8 weeks. After the trial completion, tissue bioaccumulation, biochemical indices, antioxidant and pro-inflammatory cytokine-related genes, and intestinal histological examination were analyzed. RESULTS: Our finding revealed that dietary SeNPs significantly decreased (P < 0.05) serum alkaline phosphatase (ALP), lactate dehydrogenase (LDH), and cholesterol, while increasing (P < 0.05) high-density lipoproteins (HDL). The Se concentration in the muscle tissues showed a dose-dependent increase. SeNPs at a dose of 1.5 mg/kg significantly upregulated intestinal interleukin 8 (IL-8) and interleukin 1 beta (IL-1ß) gene transcription compared with the control diet. Glutathione reductase (GSR) and glutathione synthetase (GSS) genes were significantly upregulated in both SeNPs-supplemented groups compared with the control. No apoptotic changes or cell damages were observed as indicated by proliferating cell nuclear antigen (PCNA) and caspase-3 gene expression and evidenced histopathologically. SeNPs supplementation positively affects mucin-producing goblet cells (GCs), particularly at dose of 1.5 mg/kg. CONCLUSION: Therefore, these results suggest that Green synthesized SeNPs supplementation has promising effects on enhancing Nile tilapia immunity and maintaining their intestinal health.

Profile of Caregiving Activities and Association With Physical Health Among Dementia Spousal Caregivers.

Background and Objectives: This study aims to identify patterns of caregiving intensity and assess associations between caregiving intensity and multidimensional physical health indicators and health behaviors among spousal caregivers of persons with Alzheimer's disease and related dementia. Research Design and Methods: Using data from 152 spousal caregivers aged 65 and older, the intensity of their caregiving experience was measured as the number and frequency of health- and medical-related helping activities for their care recipient. Multidimensional health indicators included self-reported fatigue, sleep disturbance, physical functioning, pain interference, general health, and the number of chronic conditions from the electronic health records. Self-reported health promotion behaviors were assessed as health responsibility, physical activity, nutrition, interpersonal relations, and stress management. Results: Two distinct caregiving intensity patterns, high-intensity (37.5%) and low-intensity (62.5%) caregiving, were identified with cluster analysis. Caregivers in the high-intensity caregiving cluster reported feeling more tired (t = 2.25, p < .05), experiencing more sleep disturbance (t = 3.06, p < .01), and performing less physical activity (t = 2.05, p < .05) compared with caregivers in the low-intensity group. Discussion and Implications: Future studies are needed to develop effective interventions to address caregiving intensity and its consequences on the health of spousal caregivers of persons with dementia.

Pap Smear Cancer Coverage in Brazilian Capitals including the Pandemic Period Caused by the SARS-CoV-2 Virus: Ecological Study.

INTRODUCTION: Cervical cancer develops slowly and may not manifest signs and symptoms at an early stage. It is worth mentioning the factors that can influence the onset of cervical cancer: smoking, early sexual life, multiple sexual partners, use of oral contraceptives, multiparity, low socioeconomic status, among others. An important risk factor for the onset of this disease is HPV infection, a virus associated with most cases of precursor lesions of this type of cancer. It is essential to understand the comprehensiveness of the scope and adherence to the recommended guidelines throughout the national territory. Therefore, health indicators are important management tools that make it possible to evaluate the services offered, measuring the reach of the target population, the supply and access to preventive exams. OBJECTIVE: To analyze the trend of progress in cervical cancer coverage actions in Brazilian capitals from 2016 to 2021. METHOD: This is an ecological study with temporal analysis that used secondary data referring to process indicators for cervical cancer control actions in women aged between 25 and 64 years living in Brazilian capitals between 2016 and 2021. Aspects related to the quality of care in the cervical cancer prevention program were evaluated using databases of the Cancer Information System (SISCAN), available in DATASUS. The indicators used to monitor and evaluate cervical cancer control actions were (i) cervical coverage, (ii) reason for cervical surgery, and (iii) proportion of cervical cancer every 3 years. RESULTS: In 2016, 410,000 tests were performed and notified in the SISCAN system in all Brazilian capitals, with emphasis on Curitiba, with 65,715 tests performed, and Porto Velho, with 174. In 2020, there was a reduction in exams compared to the previous year in all capitals, with the exception of Palmas, which went from 7655 exams to 9604. It was observed that all the capitals studied showed an increase in the annual percentage variation of Pap smear coverage, with the exception of Brasília, Manaus, Porto Alegre and Porto Velho, which did not show a statistically significant increase (APC = 3.01, 2.746, 3.987, 3.69, respectively). When analyzing the performance of oncotic cytology exams in the capitals according to the years 2019 and 2020, it was observed that only Manaus registered an increase in the number of procedures performed, reaching a difference of 56.5% from one year to the next. CONCLUSION: The ecological analysis revealed a worrying drop in the number of tests performed in 2020, reflecting a sharp drop in coverage actions in Brazilian capitals during the pandemic caused by the SARS-CoV-2 virus. The pandemic has exacerbated existing inequalities and highlighted the need for adaptive strategies to maintain essential screening services in times of crisis.

Revealing the Mysteries of Population Mobility Amid the COVID-19 Pandemic in Canada: Comparative Analysis With Internet of Things-Based Thermostat Data and Google Mobility Insights.

BACKGROUND: The COVID-19 pandemic necessitated public health policies to limit human mobility and curb infection spread. Human mobility, which is often underestimated, plays a pivotal role in health outcomes, impacting both infectious and chronic diseases. Collecting precise mobility data is vital for understanding human behavior and informing public health strategies. Google's GPS-based location tracking, which is compiled in Google Mobility Reports, became the gold standard for monitoring outdoor mobility during the pandemic. However, indoor mobility remains underexplored. OBJECTIVE: This study investigates in-home mobility data from ecobee's smart thermostats in Canada (February 2020 to February 2021) and compares it directly with Google's residential mobility data. By assessing the suitability of smart thermostat data, we aim to shed light on indoor mobility patterns, contributing valuable insights to public health research and strategies. METHODS: Motion sensor data were acquired from the ecobee "Donate Your Data" initiative via Google's BigQuery cloud platform. Concurrently, residential mobility data were sourced from the Google Mobility Report. This study centered on 4 Canadian provinces-Ontario, Quebec, Alberta, and British Columbia-during the period from February 15, 2020, to February 14, 2021. Data processing, analysis, and visualization were conducted on the Microsoft Azure platform using Python (Python Software Foundation) and R programming languages (R Foundation for Statistical Computing). Our investigation involved assessing changes in mobility relative to the baseline in both data sets, with the strength of this relationship assessed using Pearson and Spearman correlation coefficients. We scrutinized daily, weekly, and monthly variations in mobility patterns across the data sets and performed anomaly detection for further insights. RESULTS: The results revealed noteworthy week-to-week and month-to-month shifts in population mobility within the chosen provinces, aligning with pandemic-driven policy adjustments. Notably, the ecobee data exhibited a robust correlation with Google's data set. Examination of Google's daily patterns detected more pronounced mobility fluctuations during weekdays, a trend not mirrored in the ecobee data. Anomaly detection successfully identified substantial mobility deviations coinciding with policy modifications and cultural events. CONCLUSIONS: This study's findings illustrate the substantial influence of the Canadian stay-at-home and work-from-home policies on population mobility. This impact was discernible through both Google's out-of-house residential mobility data and ecobee's in-house smart thermostat data. As such, we deduce that smart thermostats represent a valid tool for facilitating intelligent monitoring of population mobility in response to policy-driven shifts.

The international Family Affluence Scale (FAS): Charting 25 years of indicator development, evidence produced, and policy impact on adolescent health inequalities.

In the absence of suitable indicators of adolescent socioeconomic status, the Family Affluence Scale (FAS) was first developed in Scotland 25 years ago. Since then, it has been adapted for use in the Health Behaviour in School-Aged Children (HBSC) Study to research inequalities in adolescent health in Europe and North America. FAS has also been used as an indicator of adolescent socioeconomic status in research studies outside of HBSC, worldwide. There has been a need for FAS to evolve and change its component items over time in order to take into account social and technological changes influencing the families of adolescents. This paper uniquely charts the development of FAS describing the methodological work carried out to validate the measure internationally and over time. It also presents an overview of the body of evidence on adolescent health inequalities produced over years from the HBSC Study and other research studies. Interviews conducted with policy stakeholders reveal that the evidence from FAS-related HBSC work has influenced their strategic work to raise awareness of inequalities and make the case for action to address these. Finally, the future of FAS is discussed with respect to its continual evolution in the context of technological, environmental and social change.

Evaluating the Soil Quality Index Using Three Methods to Assess Soil Fertility.

Soil health plays a crucial role in crop production, both in terms of quality and quantity, highlighting the importance of effective methods for preserving soil quality to ensure global food security. Soil quality indices (SQIs) have been widely utilized as comprehensive measures of soil function by integrating multiple physical, chemical, and biological soil properties. Traditional SQI analysis involves laborious and costly laboratory analyses, which limits its practicality. To overcome this limitation, our study explores the use of visible near-infrared (vis-NIR) spectroscopy as a rapid and non-destructive alternative for predicting soil properties and SQIs. This study specifically focused on seven soil indicators that contribute to soil fertility, including pH, organic matter (OM), potassium (K), calcium (Ca), magnesium (Mg), available phosphorous (P), and total nitrogen (TN). These properties play key roles in nutrient availability, pH regulation, and soil structure, influencing soil fertility and overall soil health. By utilizing vis-NIR spectroscopy, we were able to accurately predict the soil indicators with good accuracy using the Cubist model (R2 = 0.35-0.93), offering a cost-effective and environmentally friendly alternative to traditional laboratory analyses. Using the seven soil indicators, we looked at three different approaches for calculating and predicting the SQI, including: (1) measured SQI (SQI_m), which is derived from laboratory-measured soil properties; (2) predicted SQI (SQI_p), which is calculated using predicted soil properties from spectral data; and (3) direct prediction of SQI (SQI_dp), The findings demonstrated that SQI_dp exhibited a higher accuracy (R2 = 0.90) in predicting soil quality compared to SQI_p (R2 = 0.23).

Cannabis and Public Health: A Study Assessing Regular Cannabis Users Through Health Indicators.

Background and Objective: An increasing number of countries are deciding to regulate the medicinal and/or recreational use of cannabis (Cannabis sativa L.). However, there is a lack of information on the impact of regular consumption of this substance on public health. In this study, for the first time, regular cannabis consumers in Spain were assessed using health indicators, comparing these data with the general population. Methods: Various items of the Enquesta de Salut de Catalunya (ESCA) and other items related to cannabis use were selected to build a survey and administer it to a representative sample of regular cannabis users in Catalonia. Results: Most of the indicators did not show any deterioration in the health of regular cannabis users compared with the general population. It was observed that users suffered from more sleep problems and about 40% of the sample would like to discontinue cannabis use, suggesting a dependence pattern. About 30% of the sample was able to discontinue the use of prescription medications because of cannabis. Social support and sleep problems, and not cannabis use, were predictors of depression and well-being scores. Conclusions: It seems that regular cannabis use, despite contributing to problems related to sleep quality or dependence, does not have a negative impact on public health in a manner detectable using health indicators.

Psychometrics of psychosocial behavior items under age 6 years: Evidence from Nebraska, USA.

Because healthy psychosocial development in the first years of life is critical to lifelong well-being, governmental, and nongovernmental organizations are increasingly interested in monitoring psychosocial behaviors among populations of children. In response, the World Health Organization is developing the Global Scales of Early Development Psychosocial Form (GSED PF) to facilitate population-level psychosocial monitoring. Once validated, the GSED PF will be an open-access, caregiver-reported measure of children's psychosocial behaviors that is appropriate for infants and young children. This study examines the psychometric validity evidence from 45 items under consideration for inclusion in the GSED PF. Using data from N = 836 Nebraskan (USA) children aged 180 days to 71 months, results indicate that scores from 44 of the 45 (98%) items exhibit positive evidence of validity and reliability. A bifactor model with one general factor and five specific factors best fit the data, exhibited strong reliability, and acceptable model fit. Criterion associations with known predictors of children's psychosocial behaviors were in the expected direction. These findings suggest that measurement of children's psychosocial behaviors may be feasible, at least in the United States. Data from more culturally and linguistically diverse settings is needed to assess these items for global monitoring.

Debido a que el desarrollo sicosocial en los primeros años de vida es crítico para el bienestar de toda la vida, las organizaciones gubernamentales y no gubernamentales están más y más interesadas en observar vigilantemente las conductas sicosociales en la población infantil. Como respuesta, la Organización Mundial de la Salud está desarrollando el Formulario Sicosocial de las Escalas Globales del Temprano Desarrollo (GSED PF) para facilitar la observación sicosocial alerta al nivel del grupo de población. Una vez que se haya convalidado, el GSED PF será una medida de acceso abierto, que reportará el cuidador, sobre las conductas sicosociales de los niños que son apropiadas para infantes y niños pequeñitos. Este estudio examina la evidencia de la validez sicométrica de 45 puntos bajo consideración para ser incluidos en el GSED PF. Usando datos de N = 836 niños de Nebraska (Estados Unidos), de edad entre 180 días y 71 meses, los resultados indican que los puntajes de 44 de los 45 (98%) puntos muestran evidencia positiva de validez y confiabilidad. Un modelo bifactorial con un factor general y cinco factores específicos, que mejor encaja con los datos, mostró una fuerte confiabilidad y un modelo aceptable que encaja. Las asociaciones de criterio con factores de predicción conocidos acerca de las conductas sicosociales de los niños se encontraban en la dirección esperada. Estos resultados sugieren que la medida de las conductas sicosociales de los niños pudiera ser posible, por lo menos en los Estados Unidos. Se necesitan datos de escenarios más diversos cultural y lingüísticamente para evaluar estos puntos para la estar alerta en la observación global.

Applying Life History Theory to Understand Earlier Onset of Puberty: An Adolescent Brain Cognitive Development Cohort Analysis.

PURPOSE: Life history theory posits that multigenerational exposure to adversity and deprivation influences childhood growth and development, including pubertal maturation. We applied this ecological, evolutionary theory to examine the contributions of distal and proximal adversity on early puberty, a potentially important marker for population health. METHODS: Baseline data from 5,645 girls in the adolescent brain cognitive development study were included. Early puberty was defined as midlate/post pubertal development by age 9-11 years. The contributions of multigenerational Black/Indigenous (Black, Indigenous and People of Color [BIPOC]) or Hispanic identities, intergenerational mental health, economic deprivation, personal trauma exposure and mental health, and proximal biological factors of premature birth and body mass index on early puberty were examined with hierarchical modeling. RESULTS: 1,225 girls (21.7%) had early puberty. BIPOC/Hispanic identity, familial adversity, economic deprivation, personal trauma, depression, and a higher body mass index contributed significantly toward early puberty. The effect of multigenerational adversity remained significant across models, but the likelihood of early puberty decreased sequentially for BIPOC and Hispanic youth as proximal adversities were added (e.g., OR decreased from 2.93 to 2.38 for BIPOC youth), supporting a synergistic effect of layered adversity on early puberty. DISCUSSION: This analysis supports life history theory as a coherent framework to understand early puberty among girls. Findings suggest monitoring pubertal timing as a population health indictor, like birth weight, prematurity, or life expectancy. Addressing early puberty may require policy and social changes to mitigate the negative impact of multiple layers of adversity including racial/ethnic disadvantage, family, and individual mental health and trauma, as well as economic insecurity.

Trends in caesarean section rates in Europe from 2015 to 2019 using Robson's Ten Group Classification System: A Euro-Peristat study.

OBJECTIVE: To assess changes in caesarean section (CS) rates in Europe from 2015 to 2019 and utilise the Robson Ten Group Classification System (TGCS) to evaluate the contribution of different obstetric populations to overall CS rates and trends. DESIGN: Observational study utilising routine birth registry data. SETTING: A total of 28 European countries. POPULATION: Births at ≥22 weeks of gestation in 2015 and 2019. METHODS: Using a federated model, individual-level data from routine sources in each country were formatted to a common data model and transformed into anonymised, aggregated data. MAIN OUTCOME MEASURES: By country: overall CS rate. For TGCS groups (by country): CS rate, relative size, relative and absolute contribution to overall CS rate. RESULTS: Among the 28 European countries, both the CS rates (2015, 16.0%-55.9%; 2019, 16.0%-52.2%) and the trends varied (from -3.7% to +4.7%, with decreased rates in nine countries, maintained rates in seven countries (≤ ± 0.2) and with increasing rates in 12 countries). Using the TGCS (for 17 countries), in most countries labour induction increased (groups 2a and 4a), whereas multiple pregnancies (group 8) decreased. In countries with decreasing overall CS rates, CS tended to decrease across all TGCS groups, whereas in countries with increasing rates, CS tended to increase in most groups. In countries with the greatest increase in CS rates (>1%), the absolute contributions of groups 1 (nulliparous term cephalic singletons, spontaneous labour), 2a and 4a (induction of labour), 2b and 4b (prelabour CS) and 10 (preterm cephalic singletons) to the overall CS rate tended to increase. CONCLUSIONS: The TGCS shows varying CS trends and rates among countries of Europe. Comparisons between European countries, particularly those with differing trends, could provide insight into strategies to reduce CS without clinical indication.

Indicators to support local public health to reduce the impacts of heat on health.

Heat exposure presents a significant weather-related health risk in England and Wales, and is associated with acute impacts on mortality and adverse effects on a range of clinical conditions, as well as increased healthcare costs. Most heat-related health outcomes are preventable with health protection measures such as behavioural changes, individual cooling actions, and strategies implemented at the landscape level or related to improved urban infrastructure. We review current limitations in reporting systems and propose ten indicators to monitor changes in heat exposures, vulnerabilities, heat-health outcomes, and progress on adaptation actions. These indicators can primarily inform local area decision-making in managing risks across multiple sectors such as public health, adult and social care, housing, urban planning, and education. The indicators can be used alongside information on other vulnerabilities relevant for heat and health such as underlying morbidity or housing characteristics, to prioritise the most effective adaptation actions for those who need it the most.

Maternal and perinatal health indicators from 2019 to 2022: Data from the POGS Nationwide Statistics System / Philippine Journal of Obstetrics and Gynecology

Objectives@#The objectives of this study were to present maternal and perinatal health indicators for the years 2019–2022. @*Methodology@#This is a cross-sectional review that analyzed data on maternal and perinatal health indicators, generated from submissions of POGS-accredited hospitals (training and service) from January 2019 to December 2022. The data were compared to the national data obtained from official public documents published by the Philippine Statistics Authority in 2022 and 2023.@*Results@#The number of member hospitals has steadily increased over the years, and compliance rates have been consistently over 85%. The total number of registered cases and live births declined in 2020 and 2021, but has increased to prepandemic levels in 2022. The primary cesarean section (CS) rates remained above 20%, with the highest rate noted in 2021 (25.5%). The top three-most common indications for primary CS were dysfunctional labor, fetal distress, and malpresentation. Stillbirth, perinatal, and maternal mortality rates showed an increase from 2019 to 2022, with peak rates registered for the year 2021. The top five causes of maternal death are: medical complications, hemorrhage, hypertension, infection, and others (unspecified). The case fatality rate among pregnant patients with confirmed COVID-19 infection was 1.18%.@*Conclusion@#From 2019 to 2021, there was a decline in the number of registered cases and live births, and an increase in the primary CS rates, maternal mortality ratio, perinatal death rates, and stillbirth rates. This may be explained by the prevailing social, health, and economic impact of the COVID-19 pandemic during these years.

[WORLD EXPERIENCE: HOW THE DEVELOPMENT OF THE PRINCIPLES OF ACADEMICIAN OF THE ACADEMY OF MEDICAL SCIENCES OF THE USSR N. A. SEMASHKO HELPED ICELAND TO CREATE ONE OF THE MOST EFFECTIVE HEALTHCARE SYSTEMS IN THE WORLD. PART 1. HISTORICAL OVERVIEW].

Annotation. The review article is devoted to the healthcare system of Iceland, which demonstrates some of the best indicators of public health in the world at relatively low costs for a developed European country. The successful experience of Icelandic healthcare is important for Russia, on the one hand, due to the proximity of this country to many Russian regions in terms of climatic and geographical location, demography and territorial development. On the other hand, the success of Iceland's healthcare is closely linked to the development of a model, in many ways similar to the Soviet model of Nikolai Semashko, which Russia has abandoned. The authors believe that Iceland's experience can be used in the modernization of regional healthcare systems in Eastern Siberia, the Far East and the Arctic, as well as Russian healthcare in general.

[WORLD EXPERIENCE: HOW THE DEVELOPMENT OF THE PRINCIPLES OF ACADEMICIAN OF THE ACADEMY OF MEDICAL SCIENCES OF THE USSR N. A. SEMASHKO HELPED ICELAND TO CREATE ONE OF THE MOST EFFECTIVE HEALTHCARE SYSTEMS IN THE WORLD. PART 2. PRINCIPLES FUNCTIONING OF THE ICELANDIC HEALTH SYSTEM].

Annotation. The review article is devoted to the healthcare system of Iceland, which demonstrates some of the best indicators of public health in the world at relatively low costs for a developed European country. The successful experience of Icelandic healthcare is important for Russia, on the one hand, due to the proximity of this country to many Russian regions in terms of climatic and geographical location, demography and territorial development. On the other hand, the success of Iceland's healthcare is closely linked to the development of a model, in many ways similar to the Soviet model of Nikolai Semashko, which Russia has abandoned. The authors believe that Iceland's experience can be used in the modernization of regional healthcare systems in Eastern Siberia, the Far East and the Arctic, as well as Russian healthcare in general.

Relationship between handgrip strength and body composition and laboratory indicators in diabetic and hypertensive patients / Relação da força de preensão com a composição corporal e indicadores laboratoriais de diabéticos e hipertensos

Introduction: The change in handgrip strength (HGS) is an indicator of the emergence of some chronic diseases, such as diabetes mellitus (DM) and systemic arterial hypertension (SAH). Objective: Analyze the relationship between HGS and body composition and laboratory indicators of diabetic and hypertensive patients assisted in Primary Health Care. Methods: The sample consisted of 185 users of a Basic Health Unit in the city of Santarém, Pará, distributed into two groups: control (CTL) ­ users without a diagnosis of DM and/or SAH (n=66); and DM/SAH (n=119) ­ users with DM or SAH or both diseases. Data collection involved sociodemographic, clinical, anthropometric, biochemical, and HGS information. Data were analyzed using descriptive and inferential statistics, adopting p<0.05. Results: It was noted that low HGS in the DM/SAH group was associated with high values of body mass index, abdominal circumference, fat percentage, fat mass, total cholesterol, and triglycerides and with more factors for metabolic syndrome (p<0.05). The CTL group, in relation to DM/SAH for the same HGS classification, demonstrated significance for lower blood pressure values, body mass index, abdominal circumference, fat percentage, and fat mass, as well as a lower chance of developing metabolic syndrome (p<0.05). Conclusion: According to the study proposal, it is concluded that the evaluation and follow-up of HGS in individuals with chronic diseases, especially DM and SAH, is relevant to monitor body adiposity and dyslipidemia and avoid the aggravation of existing diseases or the emergence of new ones (AU).

Introdução: A alteração na força de preensão (FP) manual é indicador para surgimento de algumas doenças crônicas, como a diabetes mellitus (DM) e hipertensão arterial sistêmica (HAS). Objetivo: Analisar a relação da FP com a composição corporal e indicadores laboratoriais de diabéticos e hipertensos assistidos na Atenção Primária à Saúde. Métodos: A amostra foi composta por 185 usuários de uma Unidade Básica de Saúde na cidade de Santarém, Pará, sendo distribuídos em dois grupos: controle (CTL) ­ usuários sem o diagnóstico para DM e/ou HAS (n=66); e DM/HAS (n=119) ­ usuários com DM ou HAS ou as duas doenças. A coleta de dados envolveu informações sócio-demográficas, clínicas, antropométricas, bioquímicas e FP. Os dados foram analisados por estatística descritiva e inferencial, adotando-se p<0,05. Resultados: Notou-se que a FP baixa no grupo DM/HAS apresentou associação com valores elevados do índice de massa corporal, circunferência abdominal, percentual de gordura, massa gorda, colesterol total, triglicerídeos e com mais fatores para a síndrome metabólica (p<0,05). Já o grupo CTL, em rela-ção do DM/HAS para uma mesma classificação de FP, demonstrou significância para menores valores pressóricos, do índice de massa corporal, da circunferência abdominal, percentual de gordura, massa gorda, bem como menor chance para o desenvolvimento da síndrome metabólica (p<0,05). Conclusão: Conclui-se, conforme a proposta do estudo, que é relevante a avaliação e acompanhamento da FP em indivíduos com doenças crônicas, em especial a DM e a HAS, a fim de monitorar a adiposidade corporal e a dislipidemia, evitando o agravo das doenças instaladas ou o surgimento de novas (AU).