ABSTRACT
OBJECTIVES: Daily electronic media use, including television viewing and computer use, is common in older adulthood. Yet, increased electronic media usage may disrupt nightly sleep, leading to sleeping fewer hours and more sleep disruptions. The current study examined these relationships in older adulthood, as well as the potential buffering effect of having a regular sleep schedule. METHODS: Older adults (Nâ =â 273) from the Daily Experiences and Well-Being Study (DEWS) completed 5-6 days of data collection where they answered questions at the beginning of the day about the previous night's sleep as well as questions throughout the day about daily electronic media use. They also wore Actical accelerometers to capture sleep regularity. RESULTS: Older adults reported sleeping fewer hours and having more sleep disturbances on days when they reported more instances of computer use. Sleep regularity moderated the daily association between TV viewing and sleep disturbances such that daily TV viewing was associated with more sleep complaints only for older adults who had less regular sleep patterns. However, sleep regularity no longer moderated this association when accounting for napping behavior. DISCUSSION: These findings provide evidence that older adults sleep worse after days when they engage in more electronic media use. The association with TV viewing with sleep disturbances on any given day is somewhat mitigated by engaging in regular sleep patterns. Researchers discuss the importance of assessing electronic media use and sleep in daily life as the role of sleep regularity may be a modifiable protective factor.
Subject(s)
Television , Humans , Aged , Male , Female , Television/statistics & numerical data , Sleep , Aged, 80 and over , Computers/statistics & numerical data , Aging/physiology , Aging/psychology , Sleep Wake Disorders/epidemiologyABSTRACT
PURPOSE: To investigate the influence of digital device use (computers, laptops, tablets, smartphones) on dry eye disease (DED) in a pediatric population. SETTINGS AND DESIGN: This was a cross-sectional study. School children studying in grades 5-9 at two private schools in the city of Ahmedabad, the capital city of Gujarat, India were invited to participate in the study. METHODS: In this study, 462 children underwent ocular examination including tear film breakup time (TBUT) and Schirmer's test. Questionnaires were administered for collecting information on the type and duration of digital device usage separately for academic and leisure activities and the Ocular Surface Disease Index (OSDI) score. RESULTS: The mean age of participants was 11.2 + 1.4 years, and 63% were boys. The mean OSDI score was 37.2 + 11.8, and 90.5% had symptoms of DED. Children with moderate to severe DED (n = 88, 19%) had longer daily duration of device use and lower Schirmer's test and TBUT values compared to children with mild DED (P = 0.001). A cumulative exposure time of more than 3-3.5 h per day had a significantly increased risk of DED. Multivariable logistic regression analysis showed that increment in computer usage (odds ratio [OR] 1.94 for every half an hour increase, 95% confidence interval [CI] = 1.2-3.1) and children studying in higher grades (OR 1.30, 95% CI = 1.1-1.6) had a higher risk of moderate to severe dry eye. CONCLUSION: Cumulative device exposure time of more than 3-3.5 h per day had a significantly increased risk of pediatric DED. Children with an increment in computer usage by half an hour per day had a higher chance of experiencing moderate to severe dry eye. Policymakers should aim to restrict the screen time below 3 h on a daily basis.
Subject(s)
Dry Eye Syndromes , Tears , Humans , Dry Eye Syndromes/epidemiology , Dry Eye Syndromes/diagnosis , Dry Eye Syndromes/etiology , Male , Female , Child , Cross-Sectional Studies , India/epidemiology , Surveys and Questionnaires , Adolescent , Schools , Computers/statistics & numerical data , Smartphone , Incidence , Computers, Handheld , Risk FactorsABSTRACT
Importance: Adolescent media use is thought to influence mental health, but whether it is associated with psychotic experiences (PEs) is unclear. Objective: To examine longitudinal trajectories of adolescent media use and their associations with PEs at 23 years of age. Design, Setting, and Participants: This cohort study included participants from the Québec Longitudinal Study of Child Development (1998-2021): children who were born in Québec, Canada, and followed up annually or biennially from ages 5 months through 23 years. Data were analyzed between January 2023 and January 2024. Exposures: Participants reported their weekly amount of television viewing, video gaming, computer use, and reading at ages 12, 13, 15, and 17 years. Main Outcome and Measures: Lifetime occurrence of PEs was measured at 23 years of age. Covariables included sociodemographic, genetic, family, and childhood characteristics between ages 5 months and 12 years. Results: A total of 1226 participants were included in the analyses (713 [58.2%] female, 513 [41.8%] male). For each media type, latent class mixed modeling identified 3 group-based trajectories, with subgroups following trajectories of higher use: television viewing, 128 (10.4%); video gaming, 145 (11.8%); computer use, 353 (28.8%); and reading, 140 (11.4%). Relative to lower video gaming, higher video gaming was preceded by higher levels of mental health and interpersonal problems at age 12 years. Adjusting for these risk factors mitigated the association between higher video gaming and PEs at age 23 years. The curved trajectory of computer use (189 [15.4%] participants), characterized by increasing levels of use until age 15 years followed by a decrease, was associated with higher PEs (estimated difference, +5.3%; 95% CI, +1.5% to +9.3%) relative to lower use (684 [55.8%] participants). This association remained statistically significant after covariable adjustment. Conclusions and Relevance: This study found that longitudinal trajectories of media use during adolescence were modestly associated with PEs at age 23 years, likely reflecting the influence of shared risk factors. Understanding the environmental determinants and psychosocial functions of media use during adolescence may help better integrate digital technologies in the prevention and management of PEs.
Subject(s)
Psychotic Disorders , Television , Video Games , Humans , Male , Adolescent , Female , Video Games/statistics & numerical data , Psychotic Disorders/epidemiology , Child , Television/statistics & numerical data , Longitudinal Studies , Quebec/epidemiology , Young Adult , Child, Preschool , Adolescent Behavior/psychology , Infant , Reading , Computers/statistics & numerical data , Risk FactorsABSTRACT
BACKGROUND: Sedentary behaviours have been associated with increased risks of some common cancers in epidemiological studies; however, it is unclear if these associations are causal. METHODS: We used univariable and multivariable two-sample Mendelian randomisation (MR) to examine potential causal relationships between sedentary behaviours and risks of breast, colorectal and prostate cancer. Genetic variants associated with self-reported leisure television watching and computer use were identified from a recent genome-wide association study (GWAS). Data related to cancer risk were obtained from cancer GWAS consortia. A series of sensitivity analyses were applied to examine the robustness of the results to the presence of confounding. RESULTS: A 1-standard deviation (SD: 1.5 h/day) increment in hours of television watching increased risk of breast cancer (OR per 1-SD: 1.15, 95% confidence interval [CI]: 1.05-1.26) and colorectal cancer (OR per 1-SD: 1.32, 95% CI: 1.16-1.49) while there was little evidence of an association for prostate cancer risk (OR per 1-SD: 0.94, 95% CI: 0.84-1.06). After adjusting for years of education, the effect estimates for television watching were attenuated (breast cancer, OR per 1-SD: 1.08, 95% CI: 0.92-1.27; colorectal cancer, OR per 1-SD: 1.08, 95% CI: 0.90-1.31). Post hoc analyses showed that years of education might have a possible confounding and mediating role in the association between television watching with breast and colorectal cancer. Consistent results were observed for each cancer site according to sex (colorectal cancer), anatomical subsites and cancer subtypes. There was little evidence of associations between genetically predicted computer use and cancer risk. CONCLUSIONS: Our univariable analysis identified some positive associations between hours of television watching and risks of breast and colorectal cancer. However, further adjustment for additional lifestyle factors especially years of education attenuated these results. Future studies using objective measures of exposure can provide new insights into the possible role of sedentary behaviour in cancer development.
Subject(s)
Breast Neoplasms , Colorectal Neoplasms , Mendelian Randomization Analysis , Prostatic Neoplasms , Sedentary Behavior , Television , Humans , Male , Prostatic Neoplasms/genetics , Prostatic Neoplasms/epidemiology , Prostatic Neoplasms/etiology , Television/statistics & numerical data , Breast Neoplasms/genetics , Breast Neoplasms/epidemiology , Breast Neoplasms/etiology , Female , Colorectal Neoplasms/genetics , Colorectal Neoplasms/epidemiology , Colorectal Neoplasms/etiology , Computers/statistics & numerical data , Genome-Wide Association Study , Leisure Activities , Risk FactorsABSTRACT
Sedentary behavior (SB) is associated with cardiometabolic disease and mortality, but its association with dementia is currently unclear. This study investigates whether SB is associated with incident dementia regardless of engagement in physical activity (PA). A total of 146,651 participants from the UK Biobank who were 60 years or older and did not have a diagnosis of dementia (mean [SD] age: 64.59 [2.84] years) were included. Self-reported leisure-time SBs were divided into two domains: time spent watching television (TV) or time spent using a computer. A total of 3,507 individuals were diagnosed with all-cause dementia over a mean follow-up of 11.87 (±1.17) years. In models adjusted for a wide range of covariates, including time spent in PA, time spent watching TV was associated with increased risk of incident dementia (HR [95% CI] = 1.24 [1.15 to 1.32]) and time spent using a computer was associated with decreased risk of incident dementia (HR [95% CI] = 0.85 [0.81 to 0.90]). In joint associations with PA, TV time and computer time remained significantly associated with dementia risk at all PA levels. Reducing time spent in cognitively passive SB (i.e., TV time) and increasing time spent in cognitively active SB (i.e., computer time) may be effective behavioral modification targets for reducing risk of dementia regardless of engagement in PA.
Subject(s)
Computers , Dementia , Exercise , Leisure Activities , Screen Time , Sedentary Behavior , Television , Aged , Computers/statistics & numerical data , Dementia/epidemiology , Dementia/etiology , Humans , Incidence , Television/statistics & numerical data , United KingdomABSTRACT
A Social Story (SS) is a highly acceptable and widely used intervention by the autism community. Yet, inconsistent implementation of the intervention is reported to be one of the causes of variability in terms of outcome research, particularly in a naturalistic context. This study aimed to (1) investigate whether digitally-mediated social stories (SSs) can improve competence in developing and delivering a SS and thus contribute towards improved implementation, and (2) investigate the impact of the digitally-mediated SS on attitudes towards the SS intervention. Ninety-three participants took an initial pre-engagement survey. Forty-eight of these participants also complete a post-engagement survey. A pre-post design was utilised with the participants who completed both surveys. These 48 participants were invited to develop a digitally-mediated SS with the aim of exploring how digitally-mediated SSs impacted perceived competence and attitudes. Post-engagement data was collected two weeks after the pre-engagement data. Outcomes of this study indicate that both perceived competence and attitudes improved after engaging with digitally-mediated SSs. It is concluded that digitally-mediated SS not only impacted the integrity of how the intervention was delivered but also the beliefs in the participants' capabilities to develop and deliver a SS. Digitally-mediated SS, thus, has the potential to effectively support development and delivery whilst also addressing challenges related to intervention implementation in a naturalistic context.
Subject(s)
Autistic Disorder/therapy , Behavior Therapy/methods , Child Development Disorders, Pervasive/therapy , Computers/statistics & numerical data , General Practitioners/psychology , Parents/psychology , Social Adjustment , Adolescent , Adult , Aged , Autistic Disorder/psychology , Child Development Disorders, Pervasive/psychology , Female , Humans , Internet/statistics & numerical data , Male , Middle Aged , Young AdultABSTRACT
The transition from on-paper to on-screen reading seems to make it necessary to raise some considerations, as a greater attentional efort has been claimed for print texts than digital ones. Not surprisingly, most university students prefer this digital medium. This research aims to examine reading times by contextualizing this phenomenon into two processes: namely, word recognition and reading comprehension task on paper and on screen. Thus, two diferent taskscounterbalanced into digital and print mediumswere carried out per each participant with a preference for a digital medium: a reading comprehension task (RCT) and a lexical decision task (LDT) after reading a specifc story. Participants were slower reading print texts and no statistically signifcant diferences were found in RCT accuracy. This result suggests that the task required more cognitive resources under the print medium for those with a worse comprehension performance in reading, and a more conservative pattern in digital RCT for those with a better performance.
Subject(s)
Humans , Male , Female , Adolescent , Adult , Printing/statistics & numerical data , Reading , Computers/statistics & numerical data , Internet/statistics & numerical data , Comprehension , Students , Time FactorsABSTRACT
International trade becomes increasingly frequent with the deepening of economic globalization. In order to ensure the stable and rapid development of international trade and finance, it is particularly crucial to predict the sales trend of foreign trade goods in advance through the network model of computer trade platform. To optimize the accuracy of sales forecasts for foreign trade goods, under the background of "Internet plus foreign trade", the controllable relevance big data mining of foreign trade goods sales, personalized prediction mechanism, intelligent prediction algorithm, improved distributed quantitative and centralized qualitative calculation are taken as the premise to design dynamic prediction model on export sales based on controllable relevance big data of cross border e-commerce (DPMES). Moreover, after the related experiments and comparative discussions, the forecast error ratios from the first quarter to the fourth quarter are 2.3%, 2.1%, 2.4% and 2.4% respectively, which are also within the acceptable range. The experimental results show that the design combines the advantages of openness and extensibility of Internet plus with dynamic prediction of big data, and achieves the wisdom, quantitative and qualitative prediction of the volume of goods sold under the background of "Internet plus foreign trade", which is controlled by the relevant data of foreign trade. The overall performance of this design is stronger than the previous models, has better dynamic evolution and high practical significance, and is of great significance in the development of international trade and finance.
Subject(s)
Algorithms , Commerce/economics , Computers/statistics & numerical data , International Cooperation , Models, Theoretical , Neural Networks, Computer , Humans , InternationalityABSTRACT
BACKGROUND: Socioeconomically disadvantaged women are at an increased risk of sedentary behaviors including television (TV) viewing and computer use, so identifying determinants of these behaviors is important. METHODS: Women (n = 4349) self-reported weekly TV and computer time (in minutes per week), sociodemographic, and health data at 3 time points (2007-2013). Mixed-effect negative binomial regression was used to determine the baseline determinants of TV viewing and computer use over time, adjusting for confounders. RESULTS: Over 5 years, median TV viewing decreased while median computer time increased. Cross-sectionally TV viewing was highest among participants classified as obese, with poorer health, current smokers, with lower education, not working, with no income, without partners and with no children and computer time was greater among younger women, living in urban areas, working full time, with higher education, without partners and with no children. Average computer time per year increased among those not working (7%), with lower education (5%), and with children (5%) but decreased among those with higher education (1%). However, no factors were associated with a change in TV viewing over time. CONCLUSION: Among socioeconomically disadvantaged women, interventions aimed at preventing increases in computer time should consider women with lower education, not working, and with children in their design.
Subject(s)
Computers/statistics & numerical data , Sedentary Behavior , Social Class , Television , Binomial Distribution , Child , Cohort Studies , Cross-Sectional Studies , Educational Status , Exercise , Female , Humans , Poverty Areas , Prospective StudiesABSTRACT
Purpose: To investigate the effect of home quarantine during the COVID-19 pandemic on myopia progression in children and its associated factors. Methods: Myopic children aged 7 to 12 years with regular follow-up visits every half a year from April 2019 to May 2020 were included. Cycloplegic refraction was measured at baseline and at two follow-up visits. The first follow-up visit (visit 1) was conducted before the COVID-19 home quarantine, whereas the second (visit 2) was four months after the home quarantine. Myopia progression at visits 1 and 2 were compared. Factors associated with changes in myopia progression were tested with a multiple regression analysis. Results: In total, 201 myopic children were enrolled. There was a significantly greater change in spherical equivalent at visit 2 (-0.98 ± 0.52 D) than at visit 1 (-0.39 ± 0.58 D; P < 0.001). Students were reported to have spent more time on digital devices for online learning (P < 0.001) and less time on outdoor activities (P < 0.001) at visit 2 than at visit 1. Children using television and projectors had significantly less myopic shift than those using tablets and mobile phones (P < 0.001). More time spent on digital screens (ß = 0.211, P < 0.001), but not less time on outdoor activities (ß = -0.106, P = 0.110), was associated with greater myopia progression at visit 2. Conclusions: Changes in behavior and myopic progression were found during the COVID-19 home quarantine. Myopic progression was associated with digital screen use for online learning, but not time spent on outdoor activities. The projector and television could be better choices for online learning.
Subject(s)
COVID-19/epidemiology , Computers/statistics & numerical data , Education, Distance/statistics & numerical data , Myopia/diagnosis , Myopia/epidemiology , Quarantine/statistics & numerical data , SARS-CoV-2 , Child , China/epidemiology , Computer Terminals , Disease Progression , Female , Humans , Male , Refraction, Ocular/physiology , Risk Factors , Screen Time , Surveys and QuestionnairesABSTRACT
ABSTRACT Objective To investigate relations between electronic screen use and eye health in a representative sample of the Brazilian population. Methods Data were collected online and analyzed at a private Brazilian hospital (Provisão Hospital, Maringá, Brazil). Male and female individuals aged 12 to 35 years participated in the study. A population-based cross-sectional survey based on a questionnaire developed using the Google Forms interface was carried out. The questionnaire was answered anonymously in order to ensure the confidentiality of data and the privacy of participants. Data were collected between October 13, 2020, and January 30, 2021. Results A total of 200 questionnaires were completed. Most responders were young people aged 18 to 27 years. Daily electronic device use time reported by responders ranged from more than 5 hours (150; 75.5%) to 3 to 5 hours/day (28; 14%) or 2 to 3 hours/day (16; 8%). Only a small proportion of responders (2.5%) used these devices less than 1 hour per day. Most participants had myopia (164; 84%) and/or astigmatism (151; 75.5%), whereas keratoconus was less prevalent (34; 17%). However, 92 participants were unable to say whether they had these diseases or not. Most participants reported eye symptoms after screen use (red eyes, fatigue, dry and gritty eyes and blurred vision). Mental issues such as smartphone dependence and difficulties to communicate while using electronic devices were also addressed. Most responders reported dependence and communication problems. Conclusions Most young people in this sample had sings of eye disease, including keratoconus. Smartphone dependence and addition was also observed. Findings presented may inform future studies and help health authorities to properly guide public health strategies aimed at eye disease prevention.
RESUMO Objetivo Investigar o uso de telas na saúde ocular em uma amostra populacional brasileira. Métodos Os dados foram adquiridos on-line, e as análises foram realizadas em uma clínica privada na Região Sul do Brasil. Os participantes foram indivíduos de 12 a 35 anos, de ambos os sexos. Foi realizada pesquisa transversal de base populacional por meio de questionário elaborado na plataforma Google Forms. O questionário foi respondido de forma anônima, mantendo o sigilo dos dados coletados e a privacidade dos participantes. A coleta de dados teve início em 13 de outubro de 2020 e término em 30 de janeiro de 2021. Resultados Foram respondidos 200 questionários. A maioria foi de jovens entre 18 e 27 anos. O tempo de uso de dispositivos eletrônicos durante o dia foi de mais de 5 horas para 150 (75,5%) entrevistados, 28 (14%) gastavam de 3 a 5 horas por dia, 16 (8%) de 2 a 3 horas por dia e uma pequena parte dos entrevistados (2,5%) usava menos de 1 hora por dia. A maioria dos participantes tinha miopia (164; 84%) e/ou astigmatismo (151; 75,5%). Ceratocone foi menos prevalente (34; 17%), entretanto 92 pessoas não sabiam a resposta. A maioria dos participantes teve problemas nos olhos após o uso da tela, como olhos vermelhos, cansados e secos, além de visão turva. Questões mentais, como dependência de smartphones e dificuldade de comunicação durante o uso do dispositivo, também foram abordadas. A maioria dos entrevistados demonstrou dependência e problemas de comunicação. Conclusões A maior parte dos jovens apresentou quadro de doenças oculares, incluindo ceratocone. Dependência e adição de smartphone também foram observados. Esses resultados apoiam a identificação de fatores associados à patologia ocular, servindo de base para estudos futuros, e podem auxiliar às autoridades de saúde no direcionamento adequado das atividades de prevenção e controle em saúde pública.
Subject(s)
Humans , Male , Female , Child , Adolescent , Adult , Television/statistics & numerical data , Vision Disorders/epidemiology , Computers/statistics & numerical data , Cell Phone/statistics & numerical data , Eye Diseases/epidemiology , Screen Time , Mental Disorders/epidemiology , Mental Health/statistics & numerical data , Surveys and Questionnaires , Cohort Studies , Video Games/statistics & numerical data , Computers, Handheld/statistics & numerical data , Social Media/statistics & numerical data , Smartphone/statistics & numerical data , Internet Addiction Disorder/epidemiologyABSTRACT
The principal questions this research will address are: 1) whether a higher propensity to visit websites of interest to actual or nascent entrepreneurs is associated with higher rates of new firms births in an area; 2) whether a higher propensity to visit websites of interest to those working on design problems is associated with the quality of business in terms of orientations toward design or innovation; and 3) whether a higher propensity to visit websites of interest to those pursuing arts as an avocation is associated with an increased ability to find nonobvious solutions that might be manifest in business quality. The unique data that allow examining these questions were compiled from billions of web hits by geo-located devices. These data are combined with both detailed establishment level data with reliable information on the innovation and design orientation of firms, and a longitudinal census of all establishments with a formal credit relationship in the U.S. The findings confirm that businesses located in areas with a high propensity to visit design and arts avocation websites are more likely to pursue more far ranging innovation and are more likely to integrate design into their innovation processes. Firm birth rates are higher in areas with a high propensity to visit websites of interest to entrepreneurs, and the existence of high growth firms is strongly associated with demonstrated interest in design and arts avocation websites. The possible uses of these nontraditional measures as indicators of economic dynamism are discussed.
Subject(s)
Economic Development/statistics & numerical data , Entrepreneurship/statistics & numerical data , Internet/statistics & numerical data , Inventions/statistics & numerical data , Computers/statistics & numerical data , Equipment and Supplies Utilization/statistics & numerical data , Humans , Spatio-Temporal Analysis , United StatesABSTRACT
OBJECTIVES: Sleep disorder is a common problem in children that can jeopardize their health and well-being. With the popularity of electronic devices such as portable tablets and smartphones in the 21st century, children are spending much more time on screen, but the impact of such change on children's sleep disorder has been less investigated so far. This study aims to examine the dose-response association between time spent on different electronic devices and children's sleep disorder. STUDY DESIGN: The design of this study is a cross-sectional study. METHODS: We randomly selected 2278 children aged 3-6 years from 15 kindergartens in Tongling, China. The potentially non-linear association between screen-viewing time (i.e. television [TV], computer, iPad, Phone) and the risk of sleep disorder was examined using a logistic generalized additive model. RESULTS: We observed a J-shaped association between TV viewing time and the risk of sleep disorder, with a threshold of 1 h/day. For each 1 h/day increment in TV viewing time over the threshold, the risk of sleep disorder increased by 12.35% (95% confidence interval: 1.87-23.92%). This association seemed to be greater for girls than boys and for TV viewing at weekend than on weekdays, but the difference was not statistically significant (P-value>0.05). We did not find adequate evidence of an adverse effect of more time spent on computer, iPad and Phone. CONCLUSIONS: This study suggests a positive but non-linear relationship between time spent on watching TV and sleep disorder in Chinese preschool children. Setting the TV viewing time limit less than 1 h/day may help reduce the risk of developing sleep disorder. Further investigation is also needed to examine and compare the effects of heavy use of other electronic devices on sleep disorder.
Subject(s)
Screen Time , Sleep Wake Disorders/epidemiology , Child , Child, Preschool , China/epidemiology , Computers/statistics & numerical data , Cross-Sectional Studies , Female , Humans , Male , Risk Assessment , Television/statistics & numerical data , Time FactorsABSTRACT
As the use of technology becomes further integrated into the daily lives of all persons, including older adults, it is important to investigate how the perceptions and use of technology intersect with intergenerational relationships. Based on the international multi-centered study Technology In Later Life (TILL), this paper emphasizes the perceptions of older adults and the interconnection between technology and intergenerational relationships are integral to social connectedness with others. Participants from rural and urban sites in Canada and the UK (n = 37) completed an online survey and attended a focus group. Descriptive and thematic analyses suggest that older adults are not technologically adverse and leverage intergenerational relationships with family and friends to adjust to new technologies and to remain connected to adult children and grandchildren, especially when there is high geographic separation between them. Participants referenced younger family members as having introduced them to, and having taught them how to use, technologies such as digital devices, computers, and social networking sites. The intergenerational support in the adoption of new technologies has important implications for helping older persons to remain independent and to age in place, in both age-friendly cities and in rural communities. The findings contribute to the growing literature in the fields of gerontology and gerontechnology on intergenerational influences and the impacts of technology use in later life and suggest the flexibility and willingness of older persons to adopt to new technologies as well as the value of intergenerational relationships for overcoming barriers to technology adoption.
Subject(s)
Intergenerational Relations , Technology , Aged , Aged, 80 and over , Female , Humans , Male , Adult Children , Attitude to Computers , Canada , Computers/statistics & numerical data , Socioeconomic Factors , Surveys and Questionnaires , Technology/statistics & numerical data , GrandparentsABSTRACT
The analysis of functional abilities and their development in early childhood (0-6 years old) are fundamental aspects among young children with certain types of developmental difficulties that can facilitate prevention, through programmed interventions adapted to the needs of each user (student or patient). There are, however, few investigations to date, that have analyzed the use of automated tools for recording and interpreting the results of the initial assessment. Here, a protocol is presented to examine the functional abilities in early childhood in young children, aged between 3-6 years old, with intellectual disabilities, but the protocol can also be used for ages 0 to 6 years. The protocol makes use of a computer application, eEarlyCare, that facilitates the interpretation of the results of systematic observations, which are recorded in natural environments by professionals trained in early intervention. The software can be used to analyze 11 functional areas (Food Autonomy, Personal Care and Hygiene, Dressing and Undressing Independently, Sphincter Control, Functional Mobility, Communication and Language, Daily Life Routines, Adaptive Behavior and Attention) and a total of 114 different behaviors. Its use facilitates the analysis of the observed abilities and greatly assists early intervention. Compared to other observational methods, it allows a more efficient use of personal and material resources. The use of the computer application facilitates the recording of the observation results, which helps with organization and reflection on the observations. The software displays the observation results on-screen compared to normal developmental parameters. This information can be referred to for decision-making about the most suitable intervention program for each user (student or patient). Likewise, clustering techniques are applied to analyze the relation between the type of intellectual disabilities and functional development identified with the software, a relation that is intended to serve as a guide for early-care professional intervention.
Subject(s)
Activities of Daily Living , Attention/physiology , Communication , Computers/statistics & numerical data , Intellectual Disability/diagnosis , Software , Students/psychology , Child , Child, Preschool , Humans , Infant , Infant, NewbornABSTRACT
OBJECTIVES: To identify patterns of non-dietary obesogenic behaviors, and social and environmental factors associated with overweight and obesity (OWOB). METHODS: A representative sample (n = 5520) of high school students (55.4% girls, 16.3 ± 1.0 years) from Pernambuco State, Brazil. Latent profile analyses were performed using self-reported daily sleep duration, television use, computer use, videogame use, seated time during the week and weekend days, physical activity, and active commuting to school during the week. Social and environmental factors and body mass index were included to identify classes. Multinomial analysis explored differences in social, environmental factors, and BMI by classes. RESULTS: Five patterns were identified [Computer users (C1), Short sleepers (C2), Typical behaviors (C3), Techno-active-gamers (C4), and Lower screen engagement (C5)]. Three groups (C1, C3 and C4) included students from better social conditions and a more urbanized environments. The prevalence of OWOB was higher in C1 (34.5%; 95% CI 31.1-38.0) and in C2 (29.7%; 95% CI 26.1-33.5) compared to C5 (23.3% 95% CI 21.3-25.3). CONCLUSIONS: In one of the poorest regions of Brazil, different groups of social/environmental factors and behavior patterns emerged associated with OWOB.
Subject(s)
Adolescent Behavior/psychology , Computers/statistics & numerical data , Exercise/psychology , Students/psychology , Television/statistics & numerical data , Video Games/psychology , Video Games/statistics & numerical data , Adolescent , Body Mass Index , Brazil/epidemiology , Female , Humans , Male , Overweight/epidemiology , Self Report , Surveys and QuestionnairesABSTRACT
BACKGROUND: Children are often exposed to too much screen time but few studies have explored the use of old and new digital media among young children. This study assesses screen time, including traditional and mobile devices, in pre-school and elementary school-aged children, according to their gender, age, and socioeconomic position (SEP). METHODS: A total of 8430 children (3 to 10 years; 50.8% boys) from the north, center and south-central Portugal were included in the present study. Data was collected by a parental questionnaire during 2016/2017. Children's screen time (by media device, weekdays and at the weekend; calculated by mean minutes per day) were reported by parents. Analysis were carried to compare screen time by children's age, gender and family SEP (classified using father's educational degree). RESULTS: Daily screen time was high both in children aged 3 to 5 and 6 to 10 years - 154 min/day (95% CI: 149.51-158.91) and 200.79 min/day (95% CI: 197.08-204.50), respectively - and the majority of children, independently of their gender, exceed the recommended 2 h/day of screen viewing. Children are still primarily engaging in screen time through television but the use of mobile devices, particularly tablets, were already high among 3 year-old children and increased with age. SEP was a negative predictor of screen time in the linear regression analysis, including after adjustment. CONCLUSIONS: Considering the negative health impacts of excessive screen time, recognizing subgroups at risk of excessive screen time and identifying how each device is used according to age is fundamental to enable appropriate future interventions. The screen time in children aged 3-10 years is longer than the recommended, particularly among boys and in those children from lower SEP. Parents and policymakers should have in mind that children spend most of their screen time watching television but mobile devices are becoming extremely popular starting at a young age.
Subject(s)
Screen Time , Age Factors , Child , Child, Preschool , Computers/statistics & numerical data , Cross-Sectional Studies , Female , Humans , Internet , Male , Portugal , Regression Analysis , Sex Factors , Socioeconomic Factors , Television/statistics & numerical dataABSTRACT
Objectives. To characterize which occupations in the United States could likely work from home during a pandemic such as COVID-19.Methods. I merged 2018 US Bureau of Labor Statistics (BLS) national employment and wage data with measures ranking the importance of computer use at work and the importance of working with or performing for the public from the BLS O*NET survey.Results. Approximately 25% (35.6 million) of US workers are employed in occupations (such as technology, administrative, financial, and engineering) that could be done from home; the remaining 75% work in occupations (including health care, manufacturing, retail, and food services) that are challenging to do from home.Conclusions. Most US workers are employed in occupations that cannot be done at home, putting 108.4 million workers at increased risk for adverse health outcomes related to working during a pandemic. These workers tend to be lower paid. The stress experienced by lower-income groups, coupled with job insecurity, could result in a large burden of mental health disorders in the United States in addition to increased cases of COVID-19 from workplace transmission.
Subject(s)
Occupations/classification , Pandemics , Workplace/statistics & numerical data , Betacoronavirus , COVID-19 , Computers/statistics & numerical data , Coronavirus Infections/prevention & control , Humans , Occupational Stress , Occupations/economics , Pandemics/prevention & control , Pneumonia, Viral/prevention & control , SARS-CoV-2 , Salaries and Fringe Benefits/statistics & numerical data , United StatesABSTRACT
BACKGROUND: To date, there have been very few studies that have explored the relationship between headaches and computer use. The chief aim of this study is to investigate the prevalence of primary headache disorders among informational technology staff and identify the potential factors contributing to it. METHODS: This is a cross-sectional study based on annual health checks of employees from the information technology industry. We identified 2216 information technology staff members from Beijing by stratified random sampling who met the inclusion criteria. All participants were initially required to have a physical examination, after which they complete a general situation questionnaire that included a headache screening question. Those who had suffered from headache within the previous year also completed the questionnaire developed by Lifting the Burden. The International Classification of Headache Disorders 3(ICHD-3) criteria was used for the diagnosis of headache. RESULTS: A total of 2012 valid questionnaires (males, 1544 [76.7%]; females, 468 [23.3%]) were obtained from 2216 participants for a response rate of 90.8%. A total of 619 participants were diagnosed with primary headache, the one-year prevalence of which was 30.8%. Regarding the classification of the primary headache, 152 participants suffered from migraine, with a one-year prevalence of 7.6%; 440 and 27 suffered from tension-type headache and unclassified headaches, with one-year prevalences of 21.9 and 1.3%, respectively. Multivariate regression analysis showed that female gender was a risk factor for migraine and tension-type headache (OR 3.21[95% CI 2.28-4.53] and 1.88[95% CI 1.47-2.40], respectively). Age was also related to migraine and tension-type headache. The 41-50 age group had 2.02 times the probability of migraine, and the 31-40 age group had 1.89 times the probability of tension-type headaches compared to the 18-30 age group. Obesity and excessive computer use (more than 12 h per day) were also factors contributing to tension-type headache (OR: 2.61[95% CI 1.91-3.56] and 1.63[95% CI 1.18-2.25], respectively). CONCLUSIONS: The one-year prevalence of primary headache in this population was 30.8%. The prevalence of tension-type headache in this population was higher than that in the general Chinese population. The occurrence of primary headache is correlated with many factors, among which excessive computer use significantly contributed to the risk of tension-type headache.