Spearsgibbons0004

Overall, although there is variation in perceptions regarding the different lifestyle factors, low perceived influence clusters among those at higher risk for cancer. These results signal the need for public health campaigns and messages informing the public about the preventive potential of lifestyle factors beyond avoiding tobacco consumption.The eco-efficiency of the Yangtze River Economic Belt from 2005 to 2019 has been evaluated by the super-efficiency SBM window model, the results of which are taken as the measurement standard for green development. Next, more attempts have been done to figure out the impacts of green technological innovation on the green development in urban clusters of the Yangtze River Economic Belt by a systematic GMM model, further confirming the moderation effect of dual environmental regulations on the relationship between green technological innovation and green development and the heterogeneity in different urban clusters of the Yangtze River Economic Belt. Finally, it is a fact that a cascade has been pointed out in green development of the Yangtze River Economic Zone. With an empirical analysis, it has been found that green technological innovation has a positive moderating effect on green development in the downstream regions, and the relationship between green technological innovation and green development is positively affected by the formal environmental regulations in the overall Yangtze River Economic Zone and the midstream region. Meanwhile, informal environmental regulations play a positive role in moderating the links between green technological innovation and green development in the overall Yangtze River Economic Zone, as well as the upstream, midstream and downstream regions. Based on the conclusions of the research, some policy suggestions of a multi-environmental regulation governance system and regional differentiated environmental regulation are given at last.

The COVID-19 pandemic has contributed to the occurrence of work-related stress on nursing staff. Being resilience an essential element to countering adversity. The aim of the study was to assess burnout syndrome as well as resilience in hospital-care nurses during the first outbreak of the COVID-19 pandemic.

A cross-sectional descriptive study of burnout syndrome and resilience of 101 nurses during the first COVID-19 outbreak. The Maslach Burnout Inventory and the Scale of Resilience of Connor-Davidson were used.

The burnout average score was 74.35 ± 12.78 points, and resilience was 27.94 ± 5.84. Temporary nurses reached a lower average score for the emotional fatigue dimension (23.80 ± 10.39 points)

< 0.05. The emotional fatigue dimension correlated adversely with the average score of resilience (r = -0.271;

< 0.001).

The level of burnout in nurses was high, being higher on those who took care of COVID-19 patients. Resilient nurses were able to better cope with stressful situations.

The level of burnout in nurses was high, being higher on those who took care of COVID-19 patients. Resilient nurses were able to better cope with stressful situations.The objective of this study is to examine the longitudinal associations between latent classes of substance use and anxiety and depression scores among youth who use substances. This study uses data from three waves (Wave 1 2017/18, Wave 2 2018/19, and Wave 3 2019/20) of the COMPASS study. Students in grades 9 and 10 who reported substance use at baseline (n = 738) report their substance use (alcohol, cannabis, cigarettes, and e-cigarettes) and anxiety and depression symptoms at each wave. A Repeated Measures Latent Class Analysis (RMLCA) is used to determine substance use classes, and mixed models are used to examine the associations between substance use classes and anxiety and depression. We identify three classes of substance use (1) occasional alcohol and e-cigarette use, (2) escalating poly-substance use, and (3) consistent poly-substance use. After controlling for relevant covariates, consistent poly-substance use is associated with depression (Female OR 1.24 [95%CI 0.46, 2.02]; Male OR 1.13 [95%CI 0.38, 1.87]) but not anxiety. Escalating poly-substance use is associated with depression among males (OR 0.72 [95%CI 0.10, 1.33]). These findings should be taken into consideration when creating prevention programming and treatment strategies for adolescents. Substance use programming should be comprehensive, consider multiple substances, and be cognizant of symptoms of mental illness, particularly depression.Background Health extension workers (HEWs) have substantial inputs to reduce maternal and newborn morbidity and mortality in Ethiopia. However, their perceptions and experiences were not well understood. Therefore, this study aimed to explore their perceptions and experiences on facilitators and barriers to maternal and newborn health services in Ethiopia. Methods A descriptive qualitative study was conducted from 8-28 April 2021 in Oromia, Amhara and Southern Nation, Nationality, and People's Regional State of Ethiopia. Focused group discussions were made with purposively selected 60 HEWs. The data were transcribed verbatim and translated into English. An inductive thematic analysis was carried out using Atlas ti.7.1. The findings were presented in major themes, categories, and sub-categories with supporting quote(s). Results The findings were categorized into two major themes (i.e., facilitators and barriers) and seven sub-themes. Community-related facilitators encompass awareness and behavior at the indiviilitators and barriers that affected maternal and newborn health services. The study findings warrant that there was a disparity in behavioral factors (awareness, beliefs, and behaviors) among community members, including pregnant women. This underscores the need to design health education programs and conduct social and behavioral change communication interventions to address individuals, families, and the broader community to enhance maternal and newborn health service utilization. On the other hand, the health sector should put into practice the available strategies, and health workers provide services with empathy, compassion, and respect.The phenomenon of dropout is often found among customers of sports services. In this study we intend to evaluate the performance of machine learning algorithms in predicting dropout using available data about their historic use of facilities. The data relating to a sample of 5209 members was taken from a Portuguese fitness centre and included the variables registration data, payments and frequency, age, sex, non-attendance days, amount billed, average weekly visits, total number of visits, visits hired per week, number of registration renewals, number of members referrals, total monthly registrations, and total member enrolment time, which may be indicative of members' commitment. Whilst the Gradient Boosting Classifier had the best performance in predicting dropout (sensitivity = 0.986), the Random Forest Classifier was the best at predicting non-dropout (specificity = 0.790); the overall performance of the Gradient Boosting Classifier was superior to the Random Forest Classifier (accuracy 0.955 against 0.920). The most relevant variables predicting dropout were "non-attendance days", "total length of stay", and "total amount billed". The use of decision trees provides information that can be readily acted upon to identify member profiles of those at risk of dropout, giving also guidelines for measures and policies to reduce it.Mental health issues are a severe global concern with significant personal, social, and economic consequences and costs. This paper reports results of an online survey disseminated across the Australian community investigating why people with mental health issues choose particular mental health services over others, what causes them to disengage from services, and what factors and qualities of services are important to consumers to support their continued engagement or re-engagement with mental health services. The importance of GPs was evident, given their key role in providing mental healthcare, especially to those referred to as "the missing middle"-consumers with mental health issues who fall through the gaps in care in other parts of the healthcare system. The study found that many respondents chose to engage with mental healthcare providers primarily due to accessibility and affordability, but also because of the relational qualities that they displayed as part of delivering care. These qualities fostered consumers' sense of trust, feeling listened to, and not being stigmatized as part of help seeking and having their mental health needs met. Implications for education and practice are offered.Although Radon (Rn) is a known agent for lung cancer, the link between Rn exposure and other non-pulmonary neoplasms remains unclear. The aim of this review is to investigate the role of Rn in the development of tumors other than lung cancer in both occupational and environmental exposure. Saracatinib Particularly, our attention has been focused on leukemia and tumors related to brain and central nervous system (CNS), skin, stomach, kidney, and breast. The epidemiologic literature has been systematically reviewed focusing on workers, general population, and pediatric population. A weak increase in leukemia risk due to Rn exposure was found, but bias and confounding factors cannot be ruled out. The results of studies conducted on stomach cancer are mixed, although with some prevalence for a positive association with Rn exposure. In the case of brain and CNS cancer and skin cancer, results are inconclusive, while no association was found for breast and kidney cancers. Overall, the available evidence does not support a conclusion that a causal association has been established between Rn exposure and the risk of other non-pulmonary neoplasms mainly due to the limited number and heterogeneity of existing studies. To confirm this result, a statistical analysis should be necessary, even if it is now not applicable for the few studies available.The current study investigated how music has been used during the COVID-19 pandemic and how personal factors have affected music-listening behavior. During the shutdown in Spring 2020 in Germany, 539 participants took part in an online survey reporting on functions of music listening, attributes of listened music, and active engagement with music, retrospectively before and during the pandemic. Next to these implicit questions, participants were asked to describe the changes they explicitly noticed in handling music during COVID-19, their current worries, and their new everyday life during the pandemic as well as personality traits and stress reactivity. A logistic regression model was fitted, showing that people reduced their active engagement with music during the lockdown, and the function of killing time and overcoming loneliness became more important, reflecting the need for distraction and filling the silence. Before the lockdown, music was listened to for the function of motor synchronization and enhanced well-being, which reflects how people have lost both their musical and activity routines during the lockdown. The importance of in-person engagement with music in people's lives became particularly evident in the connection between worries about further restrictions and the need for live music.