ABSTRACT
Abstract Introduction: Smartphone use has become a popular social communication phenomenon worldwide. Its excessive use can compromise daily routines and habits, which is associated with sleep disorders, stress, anxiety and pain. Therefore, the university student stands out, as they has a lifestyle in which it is necessary to reconcile daily activities with curriculum activities, aggravating psychosocial factors. Objective: To investigate whether smartphone addiction influences sleep quality, anxiety, depression and pain in university students. Methods: We carried out an analytical cross-sectional study. For data collection, the following self-administered questionnaires were used: Smartphone Addiction Inventory (SPAI-BR), to assess smartphone dependence; Pittsburgh Sleep Quality Index (PSQI), to evaluate sleep quality; Hospital Anxiety and Depression Scale, to assess anxiety and depression (HADS), where it was subdivided into HADS-A for anxiety and HADS-D for depression; and Numeric Rating Scale (NRS) to determine physical pain intensity. The sample consisted of 301 university students studying physiotherapy and physical education at the State University of Northern Paraná (UENP). They were divided according to the score obtained in the SPAI-BR between the "regular" group (up to 6 points) and "predisposed" to smartphone dependence (7 or more points). Results: The comparisons were statistically significant in favor of the regular group: the predisposed group obtained a higher score for the questionnaires used with an average NRS of 2.37 points, average HADS-D of 9.05 points and average HADS-A of 6.01 points. Differences between groups were statistically significant: NRS, p = 0.018; HADS-A, p = 0.001; HADS-D p = 0.001; and PSQI, p = 0.001. Conclusion: The university students analyzed in this study classified as predisposed were more prone to being addicted to their smartphone, and they were more likely to have anxiety, with a worse quality of sleep and with a greater intensity of pain.
Resumo Introdução: O uso de smartphones se tornou um fenômeno social mundialmente popular de comunicação. Seu uso excessivo pode comprometer as rotinas e hábitos diários, que estão associados aos distúrbios do sono, estresse, ansiedade, algias; logo, destaca-se o universitário, que apresenta um estilo de vida em que é preciso conciliar as atividades diárias com as curriculares, agravando fatores psicossociais. Objetivo: Investigar se a dependência do uso de smartphone influencia a qualidade de sono e os níveis de ansiedade, depressão e dor em universitários. Métodos: Trata-se de um estudo transversal analítico. Para a coleta dos dados foram utilizados os questionários autoaplicáveis Inventário de Dependências do Smartphone (SPAI-BR), Escala de Pittsburgh (PSQI), Escala Hospitalar de Ansiedade e Depressão (HADS), sendo este subdividido em HADS-A (ansiedade) e HADS-D (depressão), e Escala Numérica da Dor (END). A amostra foi composta por 301 universitários da Universidade Estadual do Norte do Paraná, dos cursos de fisioterapia e educação física. Os estudantes foram divididos de acordo com o escore obtido no SPAI-BR entre grupo regular (até 6 pontos) e pré-disposto à dependência do uso de smartphone (7 ou mais pontos). Resultados: As comparações foram estatisticamente significativas a favor do grupo regular; sendo assim, o grupo pré-disposto obteve uma pontuação pior nos questionários utilizados, sendo a média END de 2,37 pontos, a média HADS-D de 9,05 e a média HADS-A de 6,01. Os valores de intensidade de dor entre os grupos foram de p = 0,018; HADS-A: p = 0,001; HADS-D: p = 0,001; PSQI: p= 0,001. Conclusão: Os universitários classificados como pré- dispostos apresentaram uma maior propensão à dependência do smartphone, além de maior chance de terem ansiedade com uma pior qualidade de sono e maior intensidade de dor.
Subject(s)
Humans , Male , Female , Anxiety Disorders , Depression , Smartphone , Internet Addiction Disorder , PainABSTRACT
OBJECTIVE: The objective of this assessment was to identify and evaluate data sets for use in the surveillance of arsenic hazards and private well drinking water use in Louisiana. DESIGN: Features, strengths, and limitations of the data sets are described, and prioritization criteria are applied to identify areas in need of further monitoring or outreach. SETTING: Recent efforts have been made by the Environmental Public Health Tracking Network to evaluate the quality of private well water data for the purpose of supporting state and national surveillance activities. Like most states, Louisiana does not collect or mandate reporting of private well water quality data. Therefore, responding to public concerns about private well water quality requires an identification and evaluation of existing data. MAIN OUTCOME MEASURES: Data evaluated include measures of arsenic in groundwater and soil, private well water use, and biomonitoring results. RESULTS: The Environmental Protection Agency's Safe Drinking Water Information System and the US Geological Survey's Water Use data set were the most informative, nationally available data sets for conducting private well water arsenic surveillance. Three priority parishes were identified on the basis of a selection criteria, although all parishes require more private well sampling data. CONCLUSION: While the data reviewed enabled preliminary identification of parishes in need of monitoring and outreach, data limitations (particularly, a lack of statewide well water quality data) prevent a comprehensive evaluation of well water arsenic hazards and private well water use. A large number of unregistered wells further impede risk determination. Reliance on existing data sources is necessary, but development of metadata documentation is essential to prevent data misinterpretation. Increased outreach and policies to promote or mandate private well testing and reporting are needed to enable a comprehensive private well water tracking system.
Subject(s)
Arsenic/adverse effects , Public Health/methods , Water Pollutants, Chemical/analysis , Water Wells , Drinking Water/chemistry , Drinking Water/standards , Environmental Exposure/prevention & control , Environmental Monitoring/methods , Humans , LouisianaABSTRACT
Scratch genes (Scrt) are neural-specific zinc-finger transcription factors (TFs) with an unknown function in the developing brain. Here, we show that, in addition to the reported expression of mammalian Scrt2 in postmitotic differentiating and mature neurons in the developing and early postnatal brain, Scrt2 is also localized in subsets of mitotic and neurogenic radial glial (RGP) and intermediate (IP) progenitors, as well as in their descendants-postmitotic IPs and differentiating neurons at the border subventricular/intermediate zone. Conditional activation of transgenic Scrt2 in cortical progenitors in mice promotes neuronal differentiation by favoring the direct mode of neurogenesis of RGPs at the onset of neurogenesis, at the expense of IP generation. Neuronal amplification via indirect IP neurogenesis is thereby extenuated, leading to a mild postnatal reduction of cortical thickness. Forced in vivo overexpression of Scrt2 suppressed the generation of IPs from RGPs and caused a delay in the radial migration of upper layer neurons toward the cortical plate. Mechanistically, our results indicate that Scrt2 negatively regulates the transcriptional activation of the basic helix loop helix TFs Ngn2/NeuroD1 on E-box containing common target genes, including Rnd2, a well-known major effector for migrational defects in developing cortex. Altogether, these findings reveal a modulatory role of Scrt2 protein in cortical neurogenesis and neuronal migration.
