Ecological Studies Research Articles

INTERNAÇÃO POR FRATURA DE FÊMUR NO BRASIL NO PERÍODO DE 2012 A 2022: ANÁLISE DE ACORDO COM A COR DA PELE

OBJECTIVE: To retrospectively analyze the total number of hospitalizations for femoral fractures in the elderly according to regions in Brazil and skin color, from 2012 to 2022. METHODS: Ecological and retrospective time series study that evaluated data on femoral fractures in the elderly, based on data available on the Ministry of Health websites. The following variables were evaluated: Total hospitalizations according to skin color, age group and type of service used. RESULTS: The number of white people was much higher in the private health service. Regarding brown skin color, the north and southeast had more people hospitalized in the public sector. Regarding hospitalization according to age group, all categories had the same behavior, with an increase in the number of hospitalizations as there is an increase in age magnitude. There was an increase in the number of hospitalizations over the years, only between 2019 and 2020, there was a slight decrease, observed especially in people with brown skin. CONCLUSION: There is a discrepancy in the number of hospitalizations for femur fractures in the elderly between Brazilian regions. This study shows that femoral fractures continue to be a health problem present in the Brazilian population, regardless of skin color and that their increasing behavior over the years reflects the aging of the population.

Hibernation changes tissue specific lipophilic profile of Chilo partellus (Swinhoe)

Chilo partellus undergo hibernation to survive under harsh winter conditions. We investigated changes in lipophilic profiles of larval and pupal whole body and tissues (haemolymph, fat bodies and integument) of hibernation and non-hibernation C. partellus strains. Significantly higher amount of lipids was found in whole body of pre-hibernation and hibernation larvae than non-hibernation larvae. At tissue level, total lipids were significantly higher in haemolymph and fat bodies of pre-hibernation, and integument of non-hibernation larvae. In whole body of larvae and pupae of hibernation and non-hibernation strains, most abundant fatty acids were oleic acid (16.4%–23%), palmitic acid (14.6%–19.3%), linoleic acid (9.3%–11.6%), palmitoleic acid (3.7%–7.3%) and stearic acid (1.7%–2.8%). Further, at tissue level, myristic, palmitoleic, palmitic, linoleic and oleic acids in fat bodies; and stearic acid in the integument of hibernation larvae were higher as compared to other body parts and larval stages of C. partellus. In pupal tissues, myristic, palmitic and stearic acids were higher in the haemolymph and fat bodies of non-hibernation pupae than post-hibernation pupae. Among the unsaturated fatty acids (UFAs), the palmitoleic acid significantly increased in all the larval tissues, and linoleic acid in fat bodies and integument, while oleic acid significantly decreased in integument of hibernation as compared to non-hibernation larvae of C. partellus. These information on adaptive remodelling of lipids at tissue level might help in future physiological, molecular, ecological and pest management studies on C. partellus.

Influence of socioeconomic aspects on morbidity and mortality rates from COVID-19 in the state of Tocantins, Brazil

This study aimed to analyze the spatial correlation of COVID-19 with social vulnerability indices in the state of Tocantins. Methodology: An ecological and cross-sectional study was conducted, analyzing the temporal evolution of the pandemic using the local bivariate Moran's index and the Kernel intensity estimator for COVID-19 cases in Tocantins from 2020 to 2022. Results: The northern region of the state showed the highest concentration of cases and deaths, a concerning fact given the high social vulnerability of most municipalities in this region. Conclusion: The study identified a positive spatial correlation between the incidence and mortality rates of COVID-19 and the social vulnerability index of the municipalities. These findings highlight the need to strengthen preventive measures and expand the physical, technological, and human resources of the healthcare network, especially in areas serving populations with higher vulnerability and traditional communities. This is particularly relevant as the disease also affects more isolated areas, impacting indigenous, riverside, and quilombola populations.

Driving factors of phytoplankton Reynolds functional groups (RFGs) in a subtropical reservoir (São Paulo, Brazil)

Subtropical reservoirs are susceptible to the eutrophication process, largely due to inappropriate land use and occupation in the watersheds, resulting in changes in the composition of the phytoplankton community, according to the sensitivity and environmental tolerances of the different species. Application of the Reynolds functional groups (RFGs) method to the multispecies phytoplankton community is a valuable approach that can be used to answer ecological questions at different spatial and temporal scales. The Itupararanga reservoir, in the upper Sorocaba River basin (São Paulo state, Brazil), is used to supply drinking water to approximately one million people, as well as for agricultural and recreational purposes. This study examines the relationships between environmental variables and the composition of the phytoplankton community, identifying the main functional groups (RFGs) along a spatial gradient in the reservoir (from upstream to downstream), during one year. Five samplings were performed at seven points in the reservoir, in the rainy and dry seasons (from 2016 to 2017). The effects of spatial heterogeneity influenced the formation of different biomass gradients for each functional group. The most abundant RFGs were Sn (warm mixed environments), H1 (eutrophic, both stratified and shallow lakes with low nitrogen content), and Lo (deep and shallow, oligotrophic to eutrophic, medium to large lakes), which corresponded to the spatial heterogeneity of the reservoir. The variables with the greatest influence on the phytoplankton composition in the reservoir were total nitrogen, nitrite, and the N/P ratio, with phosphorus as the limiting nutrient. The presence of Cyanobacteria (codons Sn and H1) was driven by the stability of the water column, due to the long residence time of the water in the reservoir. This research demonstrated the effectiveness of using RFGs as environmental descriptors, providing an essential tool in aquatic ecology studies.

Continuous measurement of red wood ant (Formica rufa) outdoor behaviour using passive acoustic monitoring

Ants serve as ecosystem engineers that maintain important ecological processes within forests. Given their ecological importance, it is a clear scientific shortcoming that we lack non-invasive methods to survey their behaviour inside common opaque habitats such as mounds, litter, and soil. In this study, we assess if acoustic signals from red wood ant (Formica rufa) mounds are useful to infer temporal changes in ant activity within forested ecosystems. We found that acoustic indices used previously as a proxy for soil fauna in soil ecological studies (Acoustic Complexity Index, Bioacoustic Index) can indeed separate sounds generated by the ant's daily routines (biophony) from other forest sounds. Yet, we also show that these indices are problematic proxies for soil diversity as they increase not only due to an increased number of species but also due to an increased number of the same species. Acoustic measures that incorporated the strength of acoustic signals, Average Power Density (APD) and Peak Power Density (PPD) also increased with increasing ant abundance and constituted the conceptually best proxy for ant activity. For example, the PPD could i) track diurnal changes in Formica rufa activity with a high temporal resolution (minutes) and ii) detect altered behavioural responses to temperature changes. We conclude that microphones detecting biophony can provide high-resolution information about in situ ant behaviours in forested ecosystems. Thus, passive acoustics monitoring offers a promising avenue as a non-invasive monitoring tool for soil macrofauna studies.

Trends in the Use of Pit and Fissure Sealants in Adolescents and Their Impact on the Decayed, Missing, and Filled Teeth (DMFT) Index: An Ecological Study in Mexico

Trends in the Use of Pit and Fissure Sealants in Adolescents and Their Impact on the Decayed, Missing, and Filled Teeth (DMFT) Index: An Ecological Study in Mexico

Ecological and Anatomical Characteristics of riverbank Plants of Water Currents and Waterbodies of the Lower Amur Region

The results of an ecological and anatomical study of plants in the coastal shallows of rivers and lakes o the Lower Amur region are presented in order to identify their resistance and adaptability to the conditions of existence. 7 stenotopic species were studied. It was revealed that the vegetative organs of plants are characterized by a combination of typical hydromorphic and specific adaptive features. Adaptation of species to sandy-silty shallow habitats is carried out due to histological transformations of the main tissues. The narrow specialization of species does not affect the typical structure of plant organs and does not lead to a simplification of their internal structure. The studied species are more characterized by signs of terrestrial micromorphology (sclerification, suberinization and cutinization of tissues) rather than hydrophytic. It is assumed that a specific complex of shallow flora was formed mainly from terrestrial species.

Effects of Offshore Wind Farms: Environmental and Social Perspectives from Uruguay

The installation of offshore wind farms is rising, driven by the goal of changing the global energy matrix. However, many of their possible impacts are still unknown. Increased noise levels, disruptions to food chains, pollution due to traffic, and impacts on fishing communities and tourism are all potential effects to consider. Marine habitats are essential carbon dioxide sinks. Therefore, losing marine biodiversity due to offshore wind farms can be counterproductive in mitigating climate change. Balancing biodiversity conservation, wind potential, and political interests is challenging. Today, Uruguay has significantly decreased the fossil share in its electricity generation, incorporating electricity generation from wind, solar, and biomass energy alongside hydroelectricity. In line with this, the country’s Hydrogen Roadmap highlights green hydrogen as relevant, potentially serving as a fuel for both domestic and export transportation. Combining the country’s strong base of wind energy production experience with its sustainable policy, it plans to implement offshore wind farms to produce green hydrogen, making studies of its impacts crucial. This paper reviews the current social and environmental information on the Uruguayan coastal habitat, analyzes onshore wind farms’ ecological studies, and examines offshore wind farms’ global environmental and social impacts. Finally, it proposes studies for environmental approval of offshore wind farms.

Ecuador Towards Zero Leprosy: A Twenty-Three-Year Retrospective Epidemiologic and Spatiotemporal Analysis of Leprosy in Ecuador.

Ecuador has gone through a significant reduction in new cases from 2000 (106) to 2023 (12), suggesting a trend towards zero leprosy. An ecological spatiotemporal study design was used to describe the epidemiological distribution of the disease in the country during 2000-2023. Leprosy cases registered by the surveillance system of the Ecuadorian Ministry of Public Health were the data utilized for the study. From January 2000 to December 2023, 1539, incidence cases were diagnosed with leprosy in Ecuador. At the time of diagnosis, the median age was 54 years. Most of the cases were males (71.5%). The proportion of incidence cases in subjects over 50 years was 63% and 1.5% in children ≤ 15 years old. The yearly incidence rate ranged from 8.5/1,000,000 population in 2000 to 0.68/1,000,000 population in 2023, remaining within the low-endemic parameter. In total, 35 cantons reported newly detected leprosy cases in the year 2000. By the end of 2023, only eight cantons actively reported cases of leprosy. High-risk clusters for leprosy were detected in the tropical coastal region of Ecuador. The provinces with the highest number of cases during the study period were Guayas (44.8%) and Los Rios (15.7%), with zero cases being found in the Galapagos Islands. Our study is unique in that it documents a retrospective dataset over a two-decade timespan from a South American country that has effectively applied global guidelines for the control and elimination of leprosy.

Quantitative identification of moisture sources over the Tibetan Plateau: spatial distributions and temporal variabilities

Abstract The imbalanced hydrological cycles and water resource instability over the Tibetan Plateau (TP) are a topic of wide concern. Moisture sources affected by large-scale circulations are the main controls of precipitation and water resource distributions; as such, the quantitative identification of moisture sources is key to the changes in precipitation or water-related environments, further aids efficient water management over the TP and in downstream regions of Asia. In this study we primarily identified the spatial distributions and temporal variabilities of TP’s varied moisture sources, using Hysplit modeling and spatially dense precipitation isotopes (δ18O). Results showed that: (1) moistures from the Westerlies (West), the western arm of Indian Summer Monsoon (ISM) (ISM1), the eastern arm of ISM (ISM2), and the inner TP are the TP’s main moisture sources, with highest proportional contributions being >70%, ~40%, >80%, and ~10–20% at northwest, southwest, southeast sectors of the study area, and the central TP region; (2) each moisture has its own region where it predominates, and shows specific trends during 1951–2020 (West-northwest sector-increase, ISM1-southwest sector-increase, ISM2-southeast sector-decrease, TP-central TP region-increase); (3) each of the moisture proportions and their temporal trends varied with different days of back trajectories (days 02-04-06-08-10), while their spatial patterns are similar; and (4) when verifying the modeled moisture proportions, precipitation δ18O is positively correlated or co-vary with dry sources such as the West or TP moisture, and inversely for humid ISM (ISM1 or ISM2) moisture. This work will improve our understanding of moisture-related hydrological, meteorological, and ecological studies in the ‘Asian Water Tower’ region.

The Agoutis: A Future Model for Ecologically Relevant Neuroscience and Physiology In Natura

ABSTRACTThe overarching goal of neurobiology is to understand how complex behaviors are generated by the nervous system. The behavior of each species, and the brain that controls it, is shaped by the historical and current state of the environment that they inhabit. This fact is juxtaposed with the reductionist approach of neuroscience that isolates animals from their natural environment. Understanding how brains evolved to orchestrate the myriads of natural behaviors an animal performs in response to its environment requires an integrative approach to neuroscience that considers ecology, ethology, and evolution. Current technological developments are leading us to an inflection point at which studying brain functions in the wild is now possible. Ecological studies on how the environment affects behavior of animals (i.e., hibernation, foraging, food hoarding, and nest building) have framed a plurality of questions to be answered mechanistically, and yet, only few studies have addressed the relationship between the environment and the brain's anatomy and physiology. Neuroscience needs new animal models that allow us to tackle such questions in the wild. Here, we propose a new animal model for wild neuroscience, the agouti (Dasyprocta spp.), a large wild rodent playing a critical seasonal role in the maintenance of the central and south American rainforest ecosystems. We focus on how a rodent model, like the agouti, will allow for the investigation of large‐scale brain dynamics during seasonal behaviors of ecological importance: scatter‐hoarding and retrieval. We describe agouti evolution, ecology, and physiology as well as neuro‐anatomical and neurophysiological studies, which have set the foundation for future neuroscience in natura. We suggest agoutis have the potential to be a groundbreaking model for wild neuroscience.

Estimation of above-ground biomass in dry temperate forests using Sentinel-2 data and random forest: a case study of the Swat area of Pakistan

Accurate mapping of above-ground biomass (AGB) is essential for carbon stock quantification and climate change impact assessment, particularly in mountainous areas. This study applies a random forest (RF) regression model to predict the spatial distribution of AGB in Usho (site A) and Utror (site B) forests located in the northern mountainous region of Pakistan. The predicted maps elucidate AGB variations across these sites, with non-forest areas excluded based on an normalized difference vegetation index (NDVI) threshold value of <0.4. Three different combinations of input datasets were used to predict the biomass, including spectral bands (SBs) only, vegetation indexes (VIs) only, and a combination of both spectral bands and vegetation indexes (SBVIs). Utilizing SBs, the biomass ranged between 150 and 286 mg/ha in site A and 99 and 376 mg/ha in site B. Meanwhile, using VIs indicated a biomass range of 163 Mg/ha–337 Mg/ha and 131–392 Mg/ha for sites A and B, respectively. The combination of spectral bands and vegetation indexes yielded AGB values of 145–290 Mg/ha in site A and 116–389 Mg/ha in site B. The northern and western regions of site A, characterized by higher altitudes and lower forest density, notably showed lower biomass values than other regions. Conversely, similar regions in site B, situated at lower latitudes, demonstrated different biomass ranges. The RF model exhibited robust accuracy, with R2 values of 0.74 and 0.83 for spectral bands and vegetation indexes, respectively. However, with a combination of both, an R2 of 0.79 was achieved. Furthermore, altitudinal gradients significantly influence the biomass distribution across both sites, with specific elevation ranges yielding optimal results. The AGB variation along the slope further corroborated these findings. In both sites, the western aspects showed the highest biomass across all combinations of input datasets. The variable importance analysis highlighted that ARVI8a, NDI45, Band12, Band11, TSAVI8, and ARVI8a are significant predictors in sites A and B. This comprehensive analysis enhances our understanding of AGB distribution in the mountainous forests of Pakistan, offering valuable insights for forest management and ecological studies.

Temporal trends, spatial and spatiotemporal clusters of cervical cancer mortality in Brazil from 2000 to 2021

Cervical cancer, despite being preventable through primary and secondary prevention strategies, remains one of the leading causes of morbidity and mortality among women in Brazil. This study aimed to analyze the temporal, spatial, and space-time patterns of cervical cancer mortality in Brazil. An ecological study was conducted using temporal, spatial, and space-time analysis techniques, using death certificates with cervical cancer as the underlying cause or associated condition among females in Brazil from 2000 to 2021. Death certificate and population data were provided by the Department of Health Informatics of the Unified Health System (DATASUS) and the Brazilian Institute of Geography and Statistics (IBGE), respectively. A total of 123,306 deaths associated with cervical cancer among women were registered during the study period. A rising trend in mortality was detected since 2014 onwards, after 14 years of decline. Particularly, an increase in mortality was observed among the younger age groups, and in the North and Northeast regions regardless of age. Heterogeneity in the spatial distribution of cervical cancer mortality was observed, with high mortality clusters around the country, but mostly concentrated in the North and Northeast regions. These findings suggest a need and an opportunity to develop efficient and effective health policies targeting those regions and groups of women at higher risk which in turn will allow for fast and significant reductions in cervical cancer mortality in Brazil.

Life history in Caenorhabditis elegans: from molecular genetics to evolutionary ecology.

Life history is defined by traits that reflect key components of fitness, especially those relating to reproduction and survival. Research in life history seeks to unravel the relationships among these traits and understand how life history strategies evolve to maximize fitness. As such, life history research integrates the study of the genetic and developmental mechanisms underlying trait determination with the evolutionary and ecological context of Darwinian fitness. As a leading model organism for molecular and developmental genetics, Caenorhabditis elegans is unmatched in the characterization of life history-related processes, including developmental timing and plasticity, reproductive behaviors, sex determination, stress tolerance, and aging. Building on recent studies of natural populations and ecology, the combination of C. elegans' historical research strengths with new insights into trait variation now positions it as a uniquely valuable model for life history research. In this review, we summarize the contributions of C. elegans and related species to life history and its evolution. We begin by reviewing the key characteristics of C. elegans life history, with an emphasis on its distinctive reproductive strategies and notable life cycle plasticity. Next, we explore intraspecific variation in life history traits and its underlying genetic architecture. Finally, we provide an overview of how C. elegans has guided research on major life history transitions both within the genus Caenorhabditis and across the broader phylum Nematoda. While C. elegans is relatively new to life history research, significant progress has been made by leveraging its distinctive biological traits, establishing it as a highly cross-disciplinary system for life history studies.

African cichlid fishes: morphological data and taxonomic insights from a genus-level survey of supraneurals, pterygiophores, and vertebral counts (Ovalentaria, Blenniiformes, Cichlidae, Pseudocrenilabrinae).

The iconic freshwater cichlid fishes (Cichlidae) comprise about 1750 validly named species and hundreds more that are known, but not yet described and named. Cichlids are an important source of protein for millions of people on several continents, are model organisms in studies of evolution, speciation, ecology, development, behaviour and physiology and are popular as aquarium fishes. Yet, comparative studies of cichlid internal anatomy are rare. Even their osteology has not been taxonomically surveyed. The cichlid postcranial skeleton has been especially neglected. Here, I provide the first survey in cichlids of the considerable variation in numbers of vertebrae, supraneurals and dorsal- and anal-fin supports (pterygiophores), as well as the patterns with which the pterygiophores insert between the neural or haemal spines. The study includes some 1700 specimens of nearly 400 cichlid species. Focusing on the largest subfamily, the African cichlids or Pseudocrenilabrinae, the survey furnishes data from species in all but one of its 166 genera. Limited data from species in the other cichlid subfamilies (Etroplinae, Ptychochrominae and Cichlinae) and from the related leaffishes, Polycentridae, are also presented. Key examples of pterygiophore insertion patterns from throughout the range of variation are illustrated and discussed. Detailed analytical tables and all raw data are provided in supplementary files.A bizarre specialisation in Cyprichromis is noted, evidently for the first time. Uniquely in this Lake Tanganyikan genus, five to seven anal pterygiophores are abdominal in position, located anterior to the anal fin and inserting toward or between successive pairs of pleural ribs.Taxonomic changes: The most speciose tribe of African cichlids, currently known as Haplochromini, is correctly called Pseudocrenilabrini. Based chiefly on the molecular phylogenetic findings of other workers, I propose four pseudocrenilabrine subtribes, one occurring in rivers and three endemic to Lake Malawi. I also re-assign the Lake Tanganyikan tribe Tropheini as another subtribe of Pseudocrenilabrini, in line with numerous molecular studies placing tropheines firmly within this tribe. The remaining genera of Pseudocrenilabrini remain incertae sedis in this tribe pending clarification of their phylogenetic relationships.The character complex here surveyed is a promising source of taxonomically and phylogenetically informative characteristics distinguishing or uniting cichlid taxa at multiple hierarchical levels, from species through subfamily. This reference set of novel character data can also provide information for palaeontological studies of African cichlids. These attributes are skeletal features potentially available for study in well preserved fossils and may help determine their correct taxonomic placement.

Spectral Discrimination of Common Karoo Shrub and Grass Species Using Spectroscopic Data

Rangelands represent about 25% of the Earth’s land surface but are under severe pressure. Rangeland degradation is a gradually increasing global environmental problem, resulting in temporary or permanent loss of ecosystem functions. Ecological rangeland studies aim to determine the productivity of rangelands as well as the severity of their degradation. Rigorous in situ assessments comprising visual identification of plant species are required as such assessments are perceived to be the most accurate way of monitoring rangeland degradation. However, in situ assessments are expensive and time-consuming exercises, especially when carried out over large areas. In situ assessments are also limited to areas that are accessible. This study aimed to evaluate the effectiveness of multispectral (MS) and hyperspectral (HS) remotely sensed, unmanned aerial vehicle (UAV)-based data and machine learning (random forest) methods to differentiate between 15 dominant Nama Karoo plant species to aid ecological impact surveys. The results showed that MS imagery is unsuitable, as classification accuracies were generally low (37.5%). In contrast, much higher classification accuracies (>70%) were achieved when the HS imagery was used. The narrow bands between 398 and 430 nanometres (nm) were found to be vital for discriminating between shrub and grass species. Using in situ analytical spectral device (ASD) spectroscopic data, additional important wavebands between 350 and 400 nm were identified, which are not covered by either the MS or HS remotely sensed data. Using feature selection methods, 12 key wavelengths were identified for discriminating among the plant species with accuracies exceeding 90%. Reducing the dimensionality of the ASD data set to the 12 key bands increased classification accuracies from 84.8% (all bands) to 91.7% (12 bands). The methodology developed in this study can potentially be used to carry out UAV-based ecological assessments over large and inaccessible areas typical of Karoo rangelands.

Bayesian Ensemble Kalman Filter for Gaussian Mixture Models

AbstractInverse theory and data assimilation methods are commonly used in earth and environmental science studies to predict unknown variables, such as the physical properties of underground rocks, from a set of measured geophysical data, like geophysical seismic or electromagnetic data. A new Bayesian approach based on the ensemble Kalman filter using Gaussian mixture models is presented to overcome the assumption of Gaussian distribution of the unknown variables commonly used in the data assimilation literature and to generalize the algorithm to inverse problems with multimodal probability distributions. In applications of subsurface characterization, the multimodality of the unknown variables is generally due to the presence of different rock types, also known as geological facies. In the proposed method, the weights of the Gaussian mixture model represent the facies proportions, and they follow a Markov chain model. The proposed Bayesian model generates the unknown model parameters conditioned on measured data using a Markov chain Monte Carlo sampler. The validity of the method is demonstrated on a data assimilation problem where the goal is to estimate the posterior distribution of the unknown rock density from a set of repeated measurements of acoustic wave velocity measured at different times. The proposed method provides accurate estimates with efficient computational times.

Using stakeholder knowledge to co-produce research priorities for a raptor species vulnerable to impacts of wind energy facilities

The global energy transition necessitates a rapid increase in infrastructure in developing countries, including for wind energy facilities (WEFs). Concerns arise regarding the negative impacts of WEFs on biodiversity, especially on birds of prey or raptors and other volant animals. In Africa, South Africa has the largest installed wind energy capacity and also hosts several raptor species of conservation importance. One such raptor is the regionally endemic Jackal Buzzard Buteo rufofuscus (family Accipitridae), which has its core population in South Africa. Despite frequent fatalities from collisions with wind turbine blades, this species is understudied. To address this gap, we conducted interviews with key stakeholders in the wind energy sector, including avifaunal specialists, wind energy developers, government representatives, and conservation nongovernmental organisations. The goal was to begin a cooperative process to identify crucial research gaps and to establish a future research agenda for Jackal Buzzards in the context of wind energy development. Stakeholders expressed confidence in current environmental impact assessment (EIA) techniques but highlighted a concern for direct collisions as a significant threat to Jackal Buzzards. The consensus was that WEFs are more likely to cause local rather than national population-level impacts. Although stakeholders generally shared similar opinions, minor differences emerged between groups. Movement ecology studies were identified as a high priority for future research on this species. By collaboratively formulating research priorities, this study aims to improve the relevance of future investigations, fostering stakeholder buy-in for potential policy and EIA practice recommendations.

Increasing rates of early-onset Luminal A breast cancers correlate with binge drinking patterns

BackgroundBreast cancer (BC) rates have been increasing in young women in the U.S. Alcohol is an established risk factor for breast cancer and has been consistently associated with hormone receptor positive cancers, the type of breast cancer that has been increasing the fastest in young women. Given these trends, we conducted an ecological study to examine whether alcohol consumption, and specifically binge drinking trends, were correlated with female breast cancer diagnosed under 40 years of age using breast cancer data from the Surveillance, Epidemiology, and End Results (SEER) Cancer Registry. We accounted for a latent period before cancer diagnosis by using exposure 10 years before the outcome (lag model); we also conducted a separate cumulative analysis of 10-year aggregate exposure.FindingsModerate (Incidence Rate Ratio (IRR) = 1.05, 95% Confidence Interval (CI) = 1.02–1.07) and heavy (IRR = 1.05, 95% CI = 1.02–1.07)(≥ 1 and ≥ 2 drinks/day, respectively) alcohol consumption were each associated with Luminal A breast cancer but not the other molecular subtypes. Binge drinking was associated with an increased rate of early-onset Luminal A BC in both the 10-year lag model (IRR = 1.06, 95% CI = 1.02 to 1.11) and the cumulative model (IRR = 1.05, 95% CI = 1.02–1.07). Binge drinking was also associated with early-onset Luminal B BC in the cumulative model (IRR = 1.04, 95% CI = 1.01–1.07), but not associated with ERBB2-enriched or triple negative early-onset BC in either model.ConclusionThese trends support the hypothesis that one reason for the increase in early-onset breast cancer is from increased alcohol intake including binge drinking.

Impact of COVID-19 Vaccination on Female Fertility.

Despite evidence in previous literature regarding vaccine safety, more data were needed as concerns about COVID-19 vaccines were raised, particularly regarding their effects on female fertility, exacerbated by the widespread dissemination of information without scientific evidence. This study aims to answer the question: does COVID-19 vaccination have any impact on female fertility at a population level. In this ecological study, vaccination rates against COVID-19 and birth rates in 100 different countries were correlated. In addition, the correlation between these two rates of interest and the Gini index were also analyzed. Data were retrieved from the World Population Prospects document produced by the Population Division of the United Nations Department of Economic and Social Affairs, from the World Health Organization (WHO) website, and from the World Bank website. Statistical analyses were conducted using the ANOVA test, and Pearson's correlation using the JASP software. For all analyses, results were considered significant if P < 0.05. In evaluating the trend of the birth rate in the countries included in the study, a persistent reduction of approximately 1.66% per year was observed between 2010 and 2022. From 2019 to 2022, the decline was close to 5%, resulting in an annual average reduction of 1.68%, which is similar to previous years. Among the selected countries, until December 2021, the average number of vaccine doses administered was 137 per 100 inhabitants. There was no observed correlation between the number of vaccine doses administered in different countries and the variation in the birth rate per thousand inhabitants between 2019 and 2022 (Pearson's r = 0.075; P = 0.455). A correlation was found between the Gini index and the birth rate, considering the base year of 2022, with a Pearson's r value of 0.376 (P < 0.01). This correlation remained consistent for all other years. A negative correlation was found between vaccine doses and the Gini index, with a Pearson's r value of -0.219 (P = 0.040). The findings of this article, as well as previous scientific evidence, do not identify any correlation between COVID-19 vaccines and female fertility issues. The associations analyzed in this study indicate the safety of vaccines for reproductive health and contribute to reducing vaccine hesitancy among the population of childbearing age.