bluuebunny/crossref_metadata_2025 huggingface dataset:
Thoracic Spine Pain in High School Adolescents: A One-Year Longitudinal Study
Authors: De Vitta Alberto , Noll Matias , Monfort-Pañego Manuel , Miñana-Signes Vicente , Maciel Nicoly Machado
Published: January 2023

Thoracic spine pain (TSP) is a common condition in the general adult population, with a similar prevalence in children and adolescents. An in-depth understanding of risk factors can assist in the identification of potential targets for effective prevention strategies. This study aimed to determine the incidence of TSP and ongoing TSP and identify its predictors in high school students. This longitudinal study was conducted in 2017 (baseline-T1), and follow-up surveys were completed in 2018 (T2). The variable “thoracic spine pain” was observed using the Nordic questionnaire, and associated variables were observed through the Baecke questionnaire and the Strengths and Difficulties Questionnaire. Statistical association methods were used for bivariate and multivariate logistic regression analysis. Among the participants, the one-year prevalence (ongoing TSP) was 38.4%, and the one-year incidence (new TSP) was 10.1%. Significant risk factors for ongoing TSP were adolescent females (RR = 2.14), in the age group of 15 to 18 years (RR = 1.41), clinical mental health problems (RR = 3.07), borderline mental health problems (RR = 2.02), mental health problems, sitting while using a tablet (RR = 1.93), distance of the eye from cell phone screen of or more than 20 cm (RR = 1.69), distance of the eye from the PC screen of or more than 30 cm (RR = 1.53), cell phone mobile use duration of or more than 3 h (RR = 1.60), tablet use time of or more than 3 h (RR = 2.08), and semi-lying prone position while using the cell phone (RR= 1.47), and these were also significant predictors of TSP episodes. Significant risk factors for new TSP were adolescent female sex (RR = 1.88), level, clinical mental health problems (RR = 4.26), borderline mental health problems (RR = 2.07), semi-lying prone position while using cell phone (RR = 1.71) or tablet (RR = 2.31), and mobile phone use duration equal to or greater than 3 h (RR = 1.72). We conclude that there is a high prevalence of TSP in high school students, which is associated with the female sex, mental health problems, and use of electronic devices for an inappropriate duration in an improper position.
Clinical Characteristics in the Acute Phase of COVID-19 That Predict Long COVID: Tachycardia, Myalgias, Severity, and Use of Antibiotics as Main Risk Factors, While Education and Blood Group B Are Protective
Authors: Guzman-Esquivel Jose , Mendoza-Hernandez Martha A. , Guzman-Solorzano Hannah P. , Sarmiento-Hernandez Karla A. , Rodriguez-Sanchez Iram P. , Martinez-Fierro Margarita L. , Paz-Michel Brenda A. , Murillo-Zamora Efren , Rojas-Larios Fabian , Lugo-Trampe Angel , Plata-Florenzano Jorge E. , Delgado-Machuca Marina , Delgado-Enciso Ivan
Published: January 2023

Background: Risk factors for developing long COVID are not clearly established. The present study was designed to determine if any sign, symptom, or treatment of the acute phase, or personal characteristics of the patient, is associated with the development of long COVID. Methods: A cohort study was carried out, randomly selecting symptomatic COVID-19 patients and not vaccinated. The severity of the acute illness was assessed through the number of compatible COVID-19 symptoms, hospitalizations, and the symptom severity score using a 10-point visual analog scale. Results: After multivariate analysis, a severity score ≥8 (RR 2.0, 95%CI 1.1–3.5, p = 0.022), hospitalization (RR 2.1, 95%CI 1.0–4.4, p = 0.039), myalgia (RR 1.9, 95%CI 1.08–3.6, p = 0.027), tachycardia (RR 10.4, 95%CI 2.2–47.7, p = 0.003), and use of antibiotics (RR 2.0, 95%CI 1.1–3.5, p = 0.022), was positively associated with the risk of having long COVID. Higher levels of education (RR 0.6, 95%CI 0.4–0.9, p = 0.029) and type positive B blood group (B + AB, RR 0.44, 95%CI 0.2–0.9, p = 0.044) were protective factors. The most important population attributable fractions (PAFs) for long COVID were myalgia (37%), severity score ≥8 (31%), and use of antibiotics (27%). Conclusions: Further studies in diverse populations over time are needed to expand the knowledge that could lead us to prevent and/or treat long COVID.
The Inclusion of LGBTQ+ Health across the Lifespan in Pre-Registration Nursing Programmes: Qualitative Findings from a Mixed-Methods Study
Authors: Brown Michael , McCann Edward , Webster-Henderson Brian , Lim Fidelindo , McCormick Freda
Published: January 2023

Poor physical and mental ill-health is experienced by many LGBTQ+ people, compounded by a reluctance to access healthcare services. This reluctance is attributed to experiences of heteronormative assumptions and negative attitudes encountered. Despite increasing recognition of the need to include LGBTQ+ health in undergraduate healthcare programmes, inconsistencies and gaps in content, skills development, and assessment are still apparent. The aim of the study was to identify LGBTQ+ health content within nursing and midwifery pre-registration programmes and identify education best practice and innovation. A mixed-methods study involving a quantitative and qualitative design was undertaken. The qualitative findings from a nursing perspective were extracted from the dataset for further detailed analysis and are reported in this paper. Information about the study and an online survey were distributed to 135 Schools of Nursing and Midwifery in the UK and Ireland. Individual semi-structured online interviews took place with academics. Qualitative data from 29 survey responses and 12 follow-up interviews were thematically analysed. Eight of the 12 follow-up interviews were held with nursing academics and following data analysis three themes emerged: (i) LGBTQ+ health across the lifespan; (ii) taking the initiative for LGBTQ+ health inclusion; and (iii) identifying and overcoming challenges. The findings highlight the endeavours by nursing academics to integrate LGBTQ+ health within pre-registration programmes to meet the education needs of students and the opportunity to develop curriculum content to address the needs and concerns of LGBTQ+ people across the lifespan.
Prevalence and Factors Influencing Smoking Behavior among Female Inmates in Malaysia
Authors: Jusoh Suharzida , Naing Nyi Nyi , Wan-Arfah Nadiah , Hajidah W.N. , Arifin Wan Nor , Wong Ling Shing , Djearamane Sinouvassane , Antony Anto Cordelia Tanislaus , Saleem Mohamed , Selvaraj Siddharthan
Published: January 2023

Background: Lately, smoking among adolescents is increasing despite various campaigns to address it being carried out. Previously, this habit was common among men, however, nowadays, smoking has become a habit for women as well. The purpose of this study was to determine the prevalence and its associated factors that influence smoking behavior among women inmates in Kelantan. Methods: A cross-sectional study was carried out among women inmates from Pengkalan Chepa Women’s Prison, Kota Bharu, Kelantan. A total of 274 respondents were needed to answer a self-administered questionnaire. The data were analyzed using Multiple Logistic Regression. Results: A total of 183 participants were smokers. Women who were single and divorced had a lower chance of being influenced to smoke compared to married women. Parents with smoking habits were more associated with children who smoked compared to parents who did not smoke. A participant with secondary level education had higher odds of smoking compared to a participant with primary level education. Smoking peers significantly influenced their friends and, therefore, peer practice was a main factor influencing smoking among women inmates. Conclusion: The prevalence of smoking among women inmates in Kelantan was found to be quite high. Religion (majority (90.5%) of women in the study were Muslims; it would be inappropriate to draw conclusion that religion is an influencing factor), marital status, parents’ practice, peer practice and education significantly influenced women inmates to smoke.
The Susceptibility to Salt Fog Degradation of Stone Cladding Materials: A Laboratory Case Study on Two Limestones from Portugal
Authors: Pires Vera , Rosa Luis G. , Amaral Pedro M. , Simão Joaquim A. R.
Published: January 2023

The evaluation of stone cladding material suitability can be a challenge due to the way that stone physical and mechanical properties, and characteristics such as mineralogy, might influence stone performance as a cladding element in a ventilated facade application. Salts can affect natural stone performance, and one of the experimental methods available to study and predict it is through accelerated aging tests such as salt fog chamber cycles. Aging test results should include the analysis of critical stone physical–mechanical properties to fully understand decay effects. The aim of this study was to reduce the lack of knowledge regarding the implications of salt fog on certain fundamental characteristics of stone cladding requirements, such as elastic properties and flexural strength, because these are particularly important properties for ventilated facade systems. A systematic methodology based on artificial salt fog cycles in a climatic chamber, microscopic analysis, weight measurement, flexural strength, and dynamic elastic modulus was performed on two limestones from Portugal: Moleanos (MO) and Semi-Rijo (SR). This study aims to contribute to improved selection stone methods linked to more sustainable stone facades, and the experimental methodology can be further applied to other stone types, particularly the ones most selected for stone cladding applications near coastal areas. In this work, results of salt fog decay cycles are presented and discussed considering their direct contribution for a better stone-cladding dimensioning process.
Supplemental Lighting Quality Influences Time to Flower and Finished Quality of Three Long-Day Specialty Cut Flowers
Authors: Spall Caleb E. , Lopez Roberto G.
Published: January 2023

Year-round demand for locally sourced specialty cut flowers continues to increase. However, due to low radiation intensities and temperatures, growers in northern latitudes must utilize greenhouses, but limited production information detailing manipulation of the radiation environment exists. Therefore, our objective is to quantify the influence of supplemental lighting (SL) quality on time to flower and harvest and stem quality of three long-day specialty cut flowers. Godetia ‘Grace Rose Pink’ (Clarkia amoena), snapdragon ‘Potomac Royal’ (Antirrhinum majus), and stock ‘Iron Rose’ (Matthiola incana) plugs are transplanted into bulb crates and placed in one of six greenhouse compartments with SL providing a total photon flux density of 120 µmol·m−2·s−1 from 0700 to 1900 HR. After four weeks, SL is extended to provide a 16 h photoperiod to induce flowering. SL treatments are provided by either high-pressure sodium (HPS) fixtures or various light-emitting diode (LED) fixtures. Treatments are defined by their 100 nm wavebands of blue (B; 400–500 nm), green (G; 500–600 nm), red (R; 600–700 nm), and far-red (FR; 700–800 nm) radiation (photon flux density in μmol·m−2·s−1) as B7G60R44FR9 (HPS120), B20G50R45FR5, B20R85FR15, B30G25R65, B120, or R120. Time to harvest (TTH) is up to 14, 15, and 10 d slower under R120 SL for godetia, snapdragon, and stock, respectively, compared to the quickest treatments (HPS120, B120, and B20R85FR15 SL). However, R120 SL produces cut flowers up to 18% longer than those grown under the quickest treatments. Both broad-spectrum LED fixtures slightly delay TTH compared to the quickest treatments. Stem caliper is not commercially different between treatments for godetia or snapdragon, although stems are up to 14% thinner for stock grown under B120 SL compared to the other treatments. Flower petal color is not commercially different between SL treatments. We recommend utilizing a SL fixture providing a spectrum similar to B20R85FR15 SL or B20G50R45FR5, as they elicit desirable crop responses with minimal developmental, quality, and visibility tradeoffs. While HPS lamps perform similarly to the recommended fixtures, we recommend utilizing LEDs for their higher photon efficacy and potential energy savings.
Foliar Application of Salicylic Acid Enhances the Endogenous Antioxidant and Hormone Systems and Attenuates the Adverse Effects of Salt Stress on Growth and Yield of French Bean Plants
Authors: Youssef Sabry M. , López-Orenes Antonio , Ferrer María A. , Calderón Antonio A.
Published: January 2023

Salicylic acid (SA) is one of the strongest candidates to be used as a salinity moderator. A hydroponic experiment was conducted to evaluate the effect of foliar application of SA (0.00, 0.75 and 1.50 mM) on growth, productivity, and some physiological and biochemical parameters of French beans (Phaseolus vulgaris L.) continuously exposed to three NaCl levels (0, 50 and 100 mM). NaCl treatment significantly reduced vegetative growth parameters (between 16–50%), membrane stability (10–15%), relative water content (25–31%), chlorophyll content (21–42%), macro- and micronutrient levels (13–52% and 4–49%, respectively), growth promoters (auxins, gibberellins, and cytokinins; 11–28%), and yield of green pods (22–39%), while the phenolic compounds contents (35–55%), total antioxidant capacity (34–51%), proline (60–100%) and malondialdehyde (18–51%) contents, peroxidase activity (35–41%), Na+ (122–152%) and Cl− (170%) ions and abscisic acid (20–30%) contents were significantly increased compared to the non-salt-stressed controls. Foliar application of SA at 0.75 mM was able to overcome the adverse effects of NaCl stress to variable extent, which allowed for close to 90% of the yield of control plants to be reached. In conclusion, this study demonstrated that foliar spraying of SA helped to reduce the harmful effects of NaCl stress on French bean via regulation of some physiological and biochemical processes. This could be the basis of an effective and low-cost strategy to cope with salt stress.
Using Optimized Three-Band Spectral Indices and a Machine Learning Model to Assess Squash Characteristics under Moisture and Potassium Deficiency Stress
Authors: Sharaf-Eldin Mohamed A. , Elsayed Salah , Elmetwalli Adel H. , Yaseen Zaher Mundher , Moghanm Farahat S. , Elbagory Mohssen , El-Nahrawy Sahar , Omara Alaa El-Dein , Tyler Andrew N. , Elsherbiny Osama
Published: January 2023

Moisture and potassium deficiency are two of the main limiting variables for squash crop performance in many water-stressed places worldwide. If major output decreases are to be avoided, it is critical to detect signs of crop stress as early as possible in the growth cycle. Proximal remote sensing can be a reliable technique for offering a rapid and precise instrument and localized management tool. This study tested the ability of proximal hyperspectral remotely sensed data to predict squash traits in two successive seasons (spring and fall) with varying moisture and potassium rates. Spectral data were collected from drip-irrigated squash that had been treated to varied rates of irrigation and potassium fertilization over both investigated seasons. To forecast potassium-use efficiency (KUE), chlorophyll meter (Chlm), water-use efficiency (WUE), and seed yield (SY) of squash, different commonly used and newly-introduced spectral index values for three bands (3D-SRIs), as well as a Decision Tree (DT) model, were evaluated. The results revealed that the newly constructed three-band SRIs based on the wavelengths of the visible (VIS), near-infrared (NIR), and red-edge regions were sensitive enough to measure the four tested parameters of squash in this study. For instance, NDI558,646,708 presented the highest R2 of 0.75 for KUE, NDI744,746,738 presented the highest R2 of 0.65 for Chlm, and NDI670,628,392 presented the highest R2 of 0.64 for SY of squash. The results further demonstrated that the principal component analysis (PCA) demonstrated the ability to distinguish moisture stress from potassium deficiency stress at the flowering stage onwards. Combining 3D-SRIs, DT-based bands (DT-b), and the aggregate of all spectral characteristics (ASF) with DT models would be an effective strategy for estimating four observed parameters with appropriate accuracy. For example, the model’s approximately 30 spectral characteristics were extremely important for predicting KUE. Its outputs with R2 were, for the training and validation datasets, 0.967 (RMSE = 0.175) and 0.818 (RMSE = 0.284), respectively. For measuring Chlm, the DT-DT-b-20 model demonstrated the best. In the training and validation datasets, the R2 value was 0.993 (RMSE = 0.522) and 0.692 (RMSE = 2.321), respectively. The overall outcomes showed that proximal-reflectance-sensing-based 3D-SRIs and DT models based on 3D-SRIs, DT-b, and ASF could be used to evaluate the four tested parameters of squash under different levels of irrigation regimes and potassium fertilizer.
Environmental Risk Assessment of Wetland Ecosystems Using Bayesian Belief Networks
Authors: Malekmohammadi Bahram , Uvo Cintia Bertacchi , Moghadam Negar Tayebzadeh , Noori Roohollah , Abolfathi Soroush
Published: January 2023

Wetlands are valuable natural capital and sensitive ecosystems facing significant risks from anthropogenic and climatic stressors. An assessment of the environmental risk levels for wetlands’ dynamic ecosystems can provide a better understanding of their current ecosystem health and functions. Different levels of environmental risk are defined by considering the categories of risk and the probability and severity of each in the environment. Determining environmental risk levels provides a general overview of ecosystem function. This mechanism increases the visibility of risk levels and their values in three distinct states (i.e., low, moderate, and high) associated with ecosystem function. The Bayesian belief network (BBN) is a novel tool for determining environmental risk levels and monitoring the effectiveness of environmental planning and management measures in reducing the levels of risk. This study develops a robust methodological framework for determining the overall level of risks based on a combination of varied environmental risk factors using the BBN model. The proposed model is adopted for a case study of Shadegan International Wetlands (SIWs), which consist of a series of Ramsar wetlands in the southwest of Iran with international ecological significance. A comprehensive list of parameters and variables contributing to the environmental risk for the wetlands and their relationships were identified through a review of literature and expert judgment to develop an influence diagram. The BBN model is adopted for the case study location by determining the states of variables in the network and filling the probability distribution tables. The environmental risk levels for the SIWs are determined based on the results obtained at the output node of the BBN. A sensitivity analysis is performed for the BBN model. We proposed model-informed management strategies for wetland risk control. According to the BBN model results, the SIWs ecosystems are under threat from a high level of environmental risk. Prolonged drought has been identified as the primary contributor to the SIWs’ environmental risk levels.
Remote Implementation of a School-Based Health Promotion and Health Coaching Program in Low-Income Urban and Rural Sites: Program Impact during the COVID-19 Pandemic
Authors: Gefter Liana , Morioka-Douglas Nancy , Srivastava Ashini , Jiang Can Angela , Patil Sonal J. , Rodriguez Eunice
Published: January 2023

Background: Adapting existing health programs for synchronous remote implementation has the potential to support vulnerable youth during the COVID 19 pandemic and beyond. Methods: The Stanford Youth Diabetes Coaches Program (SYDCP), a school-based health promotion and coaching skills program, was adapted for remote implementation and offered to adolescents from low-income communities in the US: an urban site in San Jose, CA and rural sites in Lawrence County, MO, and Central Valley, CA. Participants completed online pre- and post- surveys. Analysis included paired T-tests, linear regression, and qualitative coding. Results: Of 156 enrolled students, 100 completed pre- and post-surveys. Of those: 84% female; 40% Hispanic; 37% White; 28% Asian; 3% African American; 30% other race. With T-tests and regression models, the following measures showed statistically significant improvements after program participation: health knowledge, patient activation, health understanding and communication, consumption of fruits and vegetables, psychosocial assets of self-esteem, self-efficacy, problem-solving, and ability to reduce stress. Technology barriers were frequently reported at Lawrence County site. 96% participants reported making a lifestyle change after program participation. Conclusions: Remote implementation of health promotion programs for vulnerable youth in diverse settings has potential to support adoption of healthy behaviors, enhance patient activation levels, and improve psychosocial assets.
Academic Performance and Peer or Parental Tobacco Use among Non-Smoking Adolescents: Influence of Smoking Interactions on Intention to Smoke
Authors: Zhou Angdi , Li Xinru , Song Yiwen , Hu Bingqin , Chen Yitong , Cui Peiyao , Li Jinghua
Published: January 2023

Background: Intention to smoke is an important predictor of future smoking among adolescents. The purpose of our study was to examine the interaction between academic performance and parents/peer tobacco use on adolescents’ intention to smoke. Methods: A multi-stage stratified sampling was used to select participants, involving 9394 students aged between 9–16 years in Changchun city, northeastern China. Multiple logistic regression analyses were conducted to examine the individual effect of academic performance and peer/parental smoking behavior. Stratified logistic regressions were conducted to examine the protective effect of academic performance based on peer or parental smoking. Interaction effects of academic performance × peer/parental smoking on adolescents’ intention to smoke were tested. Results: Of all the non-smoking students sampled, 11.9% intended to smoke within the next five years. The individual effect of academic performance and peer/parental smoking was significant. The protective effect of academic performance on the intention to smoke was significant regardless of whether peers smoked or not. However, the protective effect was not significant among adolescents with only maternal smoking and both parental smoking. The current study found the significant interaction effects of academic performance × peer smoking and the academic performance × both parents’ smoking. Students with poor academic performance were more likely to intend to smoke if their peers or both parents smoked. Conclusion: These preliminary results suggest that peer smoking or smoking by both parents reinforces the association between low academic performance and the intention to smoke among adolescents. Enhancing school engagement, focusing on social interaction among adolescents with low academic performance, and building smoke-free families may reduce adolescents’ intention to smoke.
Estimating Income-Related Health Inequalities Associated with Tobacco and Alcohol Consumption in Namibia
Authors: Nghipandulwa Martha Tangeni , Mukong Alfred Kechia
Published: January 2023

Disparities in resources and access to material opportunities are important determinants of income-related health inequality. This paper hypothesises that the gradient of the inequality in health between the poor and the rich is likely to depend on differences in lifestyle practices including tobacco use and alcohol abuse. Using the 2015/16 Namibia Household Income and Expenditure Survey and the Erreygers corrected concentration index, we estimate the effect of tobacco and alcohol use on income-related health inequalities. A decomposition technique was used to estimate the separate and joint contribution of tobacco and alcohol use to income-related health inequalities. The results indicate that tobacco use widens the income-related health inequality gap while alcohol consumption reduces health disparities. The simultaneous consumption of these goods has a stronger multiplicative effect on income-related health inequality. For instance, the simultaneous consumption of both goods contribute up to 1.03% of the inequality in health while tobacco use alone contributed only 0.6%. While policy options for each of these goods could be essential in reducing inequalities in health, there is a need to advocate additional measures that could simultaneously control the consumption of both goods.
Effects of a Physical Exercise Program and Health Advice on Sedentary Behavior of Adolescents
Authors: Silva Filho Rodolfo Carlos dos Santos , Sasaki Jeffer Eidi , Gordia Alex Pinheiro , Andaki Alynne Christian Ribeiro
Published: January 2023

Sedentary behavior (SB) is a risk factor for chronic non-communicable diseases. This study aimed to assess the effects of an extracurricular physical exercise program and health advice on SB in adolescents. This was a non-randomized experimental study involving 19 adolescents divided into an intervention group (IG) and a control group (CG), aged 13–16 years from a public school in a Brazilian municipality. SB was measured using self-reports and accelerometers. The intervention included physical exercise and health advice. Repeated measures analysis of variance with a significance level of α = 5% was used. There was a time*group interaction for the subscapular fold ((pre IG = 16.30 mm vs. CG = 13.44 mm, post IG = 14.00 mm vs. CG = 15.89 mm) p = 0.001), and VO2MAX ((pre IG = 32.75 mL/kg/min vs. CG = 30.66 mL/kg/min, post IG = 35.76 mL/kg/min vs. CG = 29.28 mL/kg/min) p = 0.008). The accelerometer showed significant differences between groups in the total SB ((pre IG = 647.49 min/day vs. CG = 535.24 min/day, post IG = 614.02 min/day vs. CG = 586.97 min/day) p = 0.045), with a significant decrease in the IG. In conclusion, an extracurricular physical exercise program and health advice was effective in reducing SB in adolescents.
Clinical Stakes of Sexual Abuse in Adolescent Psychiatry
Authors: Robin Marion , Schupak Thomas , Bonnardel Lucile , Polge Corinne , Couture Marie-Bernard , Bellone Laura , Shadili Gérard , Essadek Aziz , Corcos Maurice
Published: January 2023

Background: The extent and nature of sexual abuse (SA) and its consequences in psychiatry are still poorly described in adolescence. Objective: This article describes the frequency of SA reported in an adolescent population hospitalized in psychiatry, and assesses its links with the severity of mental disorders and the medical issues of these adolescents. Methods: The study includes 100 patients for whom SA has been mentioned, among all patients aged 13 to 17 years old hospitalized for about 4 years. The characteristics of sexual abuse were correlated with the medical severity of the patients, as well as the number, the duration of their hospitalization(s), and the time until disclosure. Results: The results show the central place of SA in adolescent psychiatry, with a prevalence of 28.5% and a cumulative hospital stay which is five times longer than average. Correlations have been observed between the number of suicide attempts and the number of abuses reported. The medical severity of patients is significantly increased when the named aggressor is an adult. The number of hospitalizations is positively correlated with the number of reported abuses, as well as with the intrafamilial and adult status of the perpetrator. Finally, an early age of onset, repeated abuse, and the intrafamilial nature of the abuse are associated with a longer time to disclosure. Conclusions: The severity of adolescent psychiatric situation is statistically in favor of a history of SA, which should therefore be actively explored during care.
Defining the South African Acute Respiratory Infectious Disease Season
Authors: Motlogeloa Ogone , Fitchett Jennifer M. , Sweijd Neville
Published: January 2023

The acute respiratory infectious disease season, or colloquially the “flu season”, is defined as the annually recurring period characterized by the prevalence of an outbreak of acute respiratory infectious diseases. It has been widely agreed that this season spans the winter period globally, but the precise timing or intensity of the season onset in South Africa is not well defined. This limits the efficacy of the public health sector to vaccinate for influenza timeously and for health facilities to synchronize efficiently for an increase in cases. This study explores the statistical intensity thresholds in defining this season to determine the start and finish date of the acute respiratory infectious disease season in South Africa. Two sets of data were utilized: public-sector hospitalization data that included laboratory-tested RSV and influenza cases and private-sector medical insurance claims under ICD 10 codes J111, J118, J110, and J00. Using the intensity threshold methodology proposed by the US CDC in 2017, various thresholds were tested for alignment with the nineteen-week flu season as proposed by the South African NICD. This resulted in varying thresholds for each province. The respiratory disease season commences in May and ends in September. These findings were seen in hospitalization cases and medical insurance claim cases, particularly with influenza-positive cases in Baragwanath hospital for the year 2019. These statistically determined intensity thresholds and timing of the acute respiratory infectious disease season allow for improved surveillance and preparedness among the public and private healthcare.
Functional Neurological Disorder–Old Problem New Perspective
Authors: Perjoc Radu-Stefan , Roza Eugenia , Vladacenco Oana Aurelia , Teleanu Daniel Mihai , Neacsu Roxana , Teleanu Raluca Ioana
Published: January 2023

Functional neurological disorder (FND) is a common issue in the pediatric population. The concept and our understanding of functional neurological disorders have changed over the past years, and new etiologic models and treatment plans have been explored. Knowledge about FND in the pediatric population, however, is lacking. The aim of this review is to provide an update on pediatric functional neurological disorder. We conducted a literature search of PubMed and SCOPUS databases and reviewed a total of 85 articles to gain insight into the current understanding of FND etiology, diagnosis, treatment, and prognosis in children and adolescents. Functional and high resolution MRI revealed abnormal connectivity and structural changes in patients with functional symptoms. The diagnostic criteria no longer require the presence of a psychological factor and instead focus on a rule-in diagnosis. Treatment of FND includes a clear communication of the diagnosis and the support of a multidisciplinary team. Although FND typically has a poor prognosis, better outcomes appear to have been achieved in children and young adults. We conclude that pediatric functional neurological disorder is a prevalent pathology and that this patient population has additional specific needs compared to the adult population.
Green Infrastructure Designed through Nature-Based Solutions for Sustainable Urban Development
Authors: Štrbac Snežana , Kašanin-Grubin Milica , Pezo Lato , Stojić Nataša , Lončar Biljana , Ćurčić Ljiljana , Pucarević Mira
Published: January 2023

With the goal of enhancing the quality of the environment, urban green infrastructure (UGI) is an essential element in sustainable cities, and nature-based solutions (NBS) are being carried out as new infrastructure solutions that increase the resilience of cities. In this research, the method of theoretical analysis and the content analysis as the basic fact-gathering technique was applied to answer to following questions: What are the hindrances and bottlenecks in implementing NBS? Are the current decision-making mechanisms helping NBS get in route to shape cities? Is there any binding policy in practice that promotes NBS? In Belgrade is planned Type 3 of the degree of intervention/level and engineering type—Creation and new ecosystem management in the classifications of intensive urban green space management; urban planning strategies; urban water management; ecological restoration of degraded terrestrial ecosystems; and restoration and creation of semi-natural water bodies and hydrographic networks. In the future, it is essential to implement policies and incentives on national, regional, and local scales that help encourage the usage of NBS in the development of urban infrastructure.
Cumulative Risk and Mental Health of Left-behind Children in China: A Moderated Mediation Model
Authors: Xiong Junmei , Xie Weiwei , Zhang Tong
Published: January 2023

Based on the dual-factor model of mental health (DFM) and the cumulative risk (CR) model, this study aimed to investigate the impact of CR on left-behind children’s mental health and the underlying mechanism involved, specifically the mediating role of coping style and the moderating role of gratitude in the relationship between CR and mental health. The random cluster sampling method was applied to collect data on CR, coping style, gratitude, life satisfaction, and depression from 705 left-behind children (374 boys, Mage = 12.20 ± 1.25). The moderated mediation analyses indicated that: (1) the moderated mediation model of CR and depression was significant: coping style mediated the relationship between CR and depression, and gratitude moderated this mediating effect with gratitude strengthening the negative association between CR and coping style; and (2) gratitude moderated the relationship between CR and life satisfaction and it also strengthened the negative association between CR and life satisfaction. The findings suggest that the mechanisms of coping style may differ in the relationships between CR and positive and negative indicators of mental health in left-behind children and that gratitude as a protective factor has limited capacity to buffer the negative effect of accumulated risk. These findings provide evidence for differentiated intervention approaches to promote disadvantaged children’s life satisfaction and depression.
Spirulina platensis Immobilized Alginate Beads for Removal of Pb(II) from Aqueous Solutions
Authors: Purev Oyunbileg , Park Chulhyun , Kim Hyunsoo , Myung Eunji , Choi Nagchoul , Cho Kanghee
Published: January 2023

Microalgae contain a diversity of functional groups that can be used as environmental adsorbents. Spirulina platensis is a blue-green microalga that comprises protein-N, which is advantageous for use in nitrogen-containing biomass as adsorbents. This study aimed to enhance the adsorption properties of alginate hydrogels by employing Spirulina platensis. Spirulina platensis was immobilized on sodium alginate (S.P@Ca-SA) via crosslinking. The results of field-emission scanning electron microscopy, Fourier-transform infrared, and X-ray photoelectron spectroscopy analyses of the N-containing functional groups indicated that Spirulina platensis was successfully immobilized on the alginate matrix. We evaluated the effects of pH, concentration, and contact time on Pb(II) adsorption by S.P@Ca-SA. The results demonstrated that S.P@Ca-SA could effectively eliminate Pb(II) at pH 5, reaching equilibrium within 6 h, and the maximum Pb(II) sorption capacity of S.P@Ca-SA was 87.9 mg/g. Our results indicated that S.P@Ca-SA fits well with the pseudo-second-order and Freundlich models. Compared with Spirulina platensis and blank alginate beads, S.P@Ca-SA exhibited an enhanced Pb(II) adsorption efficiency. The correlation implies that the amino groups act as adsorption sites facilitating the elimination of Pb(II).
Impact of Patient-Centered and Self-Care Education on Diabetes Control in a Family Practice Setting in Saudi Arabia
Authors: AlHaqwi Ali I. , Amin Marwa M. , AlTulaihi Bader A. , Abolfotouh Mostafa A.
Published: January 2023

Background: Diabetes mellitus is a chronic and complex medical disease that leads to significant morbidity and mortality. Patient-centered diabetes education that emphasizes active patient involvement, self, and shared care constitutes a substantial and essential component of the comprehensive diabetes management approach. Objectives: To assess the impact of patient-centered diabetes education sessions on the prescribed treatment plan in controlling diabetes and other related cardiovascular risk factors. Methods: In a pre-experimental pretest-posttest one group study design, all referred patients with type 2 diabetes (T2DM) to the diabetes educator clinic (n = 130 patients) during the period of 6 months from January to July 2021 were subjected to multiple and consecutive patient-centered diabetes education sessions, based on the framework published by the Association of Diabetes Care and Education Specialties (ADCES), in addition to their usual treatment plan. Demographic, social, and biological data were obtained at the baseline, three months, and six months after the intervention. Nonparametric Friedman and Cochran’s Q tests for related samples were applied to examine the impact of this educational intervention on glycosylated hemoglobin (HbA1c) and other associated cardiovascular risks. The results of 130 patients with T2DM showed a significant reduction of mean systolic blood pressure “SBP” (p = 0.015), glycosylated hemoglobin (HbA1c) (p < 0.001), fasting blood sugar “FBS” (p < 0.001), total cholesterol (p < 0.001), low-density lipoprotein (p < 0.001), and triglyceride (p < 0.001), and significant rise of mean high-density lipoprotein (p = 0.011). At three and six months after the intervention, 43% and 58% of patients showed improved HbA1c levels. The mean HbA1c was reduced from 10.2% at the beginning of the study to 8.7% (p < 0.001) after six months. Moreover, a significant reduction in the prevalence of obesity (p = 0.018), high FBS (p = 0.011), and high SBP (p = 0.022) was detected. Conclusions: This study showed a considerable positive impact of diabetes education and patient-centered care on optimizing glycemic and other cardiovascular risk control. The needs of certain patients with T2DM should be addressed individually to achieve the best possible outcomes. Further research is needed to explore the long-term benefits of this intervention.
Reply to La Marca et al. Comment on “Naranjo-Bonilla et al. Retinal and Choroidal Effects of Continuous Positive Airway Pressure as Treatment for Sleep Apnea: Results at 12 Months. Int. J. Environ. Res. Public Health 2022, 19, 12637”
Authors: Naranjo-Bonilla Pedro , Giménez-Gómez Rafael , Muñoz-Villanueva María Carmen , Jurado-Gámez Bernabé
Published: January 2023

Thank you for your interest [...]
What Motivates Greenhouse Vegetable Farmers to Adapt Organic-Substitute-Chemical-Fertilizer (OSCF)? An Empirical Study from Shandong, China
Authors: Yi Xiaoyan , Zou Qinqi , Zhang Zewei , Chang Sheng-Han-Erin
Published: January 2023

This paper reports on a study of the determinants of the adoption behaviour related to Organic-Substitute-Chemical-Fertilizer (OSCF) against the background of Green and Low-carbon Circular Agriculture (GLCA) by analysing a survey of 318 greenhouse vegetable farmers in Shandong Province, China. We use regression analyses to identify policy measures and farmers’ psychological cognition of the determinants of adoption behaviour on farmers’ psychological cognition. We use three indices for farmers’ cognition, including economic value, resource capacity, and ecosystem impact, to examine the differences between training and subsidy. Our findings showed that two policy measures (training and subsidy) had a significant positive impact on vegetable farmers’ fertilizer application. Farmers’ cognition played a mediating role. We identified and discussed the influence of policy measures on farmers’ behaviour and the mediating role of farmers’ cognition. Hence, we suggest that local governments should strengthen farmers’ training in relation to fertilizer application techniques and enhance farmers’ cognition of organic fertilizer as a substitute for chemical fertilizer in terms of economic, resource and environment aspects.
Analysis of the Spatiotemporal Evolution of the Net Carbon Sink Efficiency and Its Influencing Factors at the City Level in Three Major Urban Agglomerations in China
Authors: Shen Shiguang , Wu Chengcheng , Gai Zhenyu , Fan Chenjing
Published: January 2023

The implementation of carbon peaking and carbon neutrality is an essential measure to reduce greenhouse gas emissions and actively respond to climate change. The net carbon sink efficiency (NCSE), as an effective tool to measure the carbon budget capacity, is important in guiding the carbon emission reduction among cities and the maintenance of sustainable economic development. In this paper, NCSE values are used as a measure of the carbon budget capacity to measure the spatiotemporal evolution of the carbon neutral capacity of three major urban agglomerations (UAs) in China during 2007–2019. The clustering characteristics of the NCSE of these three major UAs, and various influencing factors such as carbon emissions, are analyzed using a spatiotemporal cube model and spatial and temporal series clustering. The results reveal the following. (1) From the overall perspective, the carbon emissions of the three major UAs mostly exhibited a fluctuating increasing trend and a general deficit during the study period. Moreover, the carbon sequestration showed a slightly decreasing trend, but not much fluctuation in general. (2) From the perspective of UAs, the cities in the Beijing–Tianjin–Hebei UA are dominated by low–low clustering in space and time; this clustering pattern is mainly concentrated in Beijing, Xingtai, Handan, and Langfang. The NCSE values in the Yangtze River Delta UA centered on Shanghai, Nanjing, and the surrounding cities exhibited high–high clustering in 2019, while Changzhou, Ningbo, and the surrounding cities exhibited low–high clustering. The NCSE values of the remaining cities in the Pearl River Delta UA, namely Guangzhou, Shenzhen, and Zhuhai, exhibited multi-cluster patterns that were not spatially and temporally significant, and the spatiotemporal clusters were found to be scattered. (3) In terms of the influencing factors, the NCSE of the Beijing–Tianjin–Hebei UA was found to be significantly influenced by the industrial structure and GDP per capita, that of the Yangtze River Delta UA was found to be significantly influenced by the industrial structure, and that of the Pearl River Delta UA was found to be significantly influenced by the population density and technology level. These findings can provide a reference and suggestions for the governments of different UAs to formulate differentiated carbon-neutral policies.
Landslide Displacement Prediction Based on Multivariate LSTM Model
Authors: Duan Gonghao , Su Yangwei , Fu Jie
Published: January 2023

There are many frequent landslide areas in China, which badly affect local people. Since the 1980s, there have been more than 200 landslides in China with a death toll of 30 or more people at a time, economic losses of more than CNY 10 million or significant social impact. Therefore, the study of landslide displacement prediction is very important. The traditional ARIMA and LSTM models are commonly used for forecasting time series data. In our study, a multivariable LSTM landslide displacement prediction model is proposed based on the traditional LSTM model, which integrates rainfall and reservoir water level data. Taking the Baijiabao landslide in the Three Gorges Reservoir area as an example, the data of displacement, rainfall and reservoir water level of monitoring point ZG323 from November 2006 to December 2012 were selected for this study. Our results show that the displacement prediction results of the multivariable LSTM model are more accurate than those of the ARIMA and the univariate LSTM models, and the mean square, root mean square and mean absolute errors are the smallest, which are 0.64223, 0.8014 and 0.50453 mm, respectively. Therefore, the multivariable LSTM model method has higher accuracy and better application prospects in the displacement prediction of the Baijiabao landslide, which can provide a certain reference for the displacement prediction of the same type of landslide.
Differentiating Use of Facial Expression between Individuals with and without Traumatic Brain Injury Using Affectiva Software: A Pilot Study
Authors: Yiew Kelly , Togher Leanne , Power Emma , Brunner Melissa , Rietdijk Rachael
Published: January 2023

This study investigated the feasibility of using an automated facial coding engine, Affectiva (integrated in iMotions, version 8.2), for evaluating facial expression after traumatic brain injury (TBI). An observational cross-sectional study was conducted based on facial expression data from videos of participants with TBI and control participants. The aims were to compare TBI and control groups, and identify confounding factors affecting the data analysis. Video samples of two narrative tasks (personal event and story retell) from ten participants with severe TBI and ten control participants without TBI were analyzed using Affectiva. Automated data on participants’ engagement, smile and brow furrow were compared statistically between and within groups. Qualitative notes for each sample were also recorded. Affectiva detected a higher percentage of time of engagement for TBI participants than for control participants on both tasks. There was also a higher percentage of time of smiling for TBI participants in one task. Within groups, there were no significant differences between the two narrative tasks. Affectiva provides standardized data about facial expression and may be sensitive to detecting change in the use of facial expression after TBI. This study also identified factors to avoid during videorecording to ensure high quality samples for future research.
Effective Conditions for Achieving Carbon Unlocking Targets for Transport Infrastructure Development—Joint Analysis Based on PLS-SEM and NCA
Authors: Chen Yun , Wang Da , Zhu Wenxi , Hou Yunfei , Liu Dingli , Ma Chongsen , Li Tian , Yuan Yuan
Published: January 2023

It is important to investigate how to achieve carbon unlocking in the transport sector, especially in transport infrastructure, in order to contribute to the achievement of carbon neutrality targets and the 2030 Sustainable Development Goals. This study aims to investigate the necessary and sufficient conditions to achieve carbon unlocking in transport infrastructure. To achieve this, a combination of partial least squares structural equation modeling (PLS-SEM) and necessary condition analysis (NCA) methods have been used to examine whether there are unidentified necessity factors beyond the currently recognized ‘technology-in-institution’ (TIC) lock-in. This study also explores how the carbon unlocking of transport infrastructure can be achieved through the unlocking of relevant factors. The study includes 366 points from a subjective questionnaire from the government, transport infrastructure researchers, and relevant businesspeople. We found that, at the adequacy level, achieving institutional and technological unlocking is sufficient and economic factors have little impact on transport infrastructure (0.06), and that institutional and technical factors have a large impact on carbon unlocking (0.453, 0.280); however, from the necessary point of view, carbon unlocking at the economic level is necessary to achieve the goal of a medium to high level of carbon unlocking. To achieve carbon unlocking at this level (over 50%), a combination of technological, institutional, and economic factors is required. To achieve full carbon unlocking, the technology, system, and economy need to be at least 0.533, 0.791, and 0.63 unlocked. Therefore, we can conclude that by using the joint analysis of PLS-SEM and NCA, we have achieved an extension of the traditional TIC and identified sufficient and necessary conditions to achieve a medium to high degree of carbon unlocking.