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Poison control

About: Poison control is a research topic. Over the lifetime, 394709 publications have been published within this topic receiving 15781638 citations.


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Journal ArticleDOI
TL;DR: A simple predictive model based on two risk factors can be used by physical therapists to quantify fall risk in community-dwelling older adults and Identification of patients with a high fall risk can lead to an appropriate referral into a fall prevention program.
Abstract: Background and Purpose. The objective of this retrospective case-control study was to develop a model for predicting the likelihood of falls among community-dwelling older adults. Subjects. Forty-four community-dwelling adults (≥65 years of age) with and without a history of falls participated. Methods. Subjects completed a health status questionnaire and underwent a clinical evaluation of balance and mobility function. Variables that differed between fallers and nonfallers were identified, using t tests and cross tabulation with chi-square tests. A forward stepwise regression analysis was carried out to identify a combination of variables that effectively predicted fall status. Results. Five variables were found to be associated with fall history. These variables were analyzed using logistic regression. The final model combined the score on the Berg Balance Scale with a self-reported history of imbalance to predict fall risk. Sensitivity was 91%, and specificity was 82%. Conclusion and Discussion. A simple predictive model based on two risk factors can be used by physical therapists to quantify fall risk in community-dwelling older adults. Identification of patients with a high fall risk can lead to an appropriate referral into a fall prevention program. In addition, fall risk can be used to calculate change resulting from intervention.

1,679 citations

Journal ArticleDOI
TL;DR: Results showed that all the variables measuring the quality of experience, except for relaxation and motivation, are more affected by flow than by whether the respondent is working or in leisure.
Abstract: Followed 78 adult workers for 1 week with the experience sampling method. (This method randomly samples self-reports throughout the day.) The main question was whether the quality of experience was more influenced by whether a person was at work or at leisure or more influenced by whether a person was in flow (i.e., in a condition of high challenges and skills). Results showed that all the variables measuring the quality of experience, except for relaxation and motivation, are more affected by flow than by whether the respondent is working or in leisure. Moreover, the great majority of flow experiences are reported when working, not when in leisure. Regardless of the quality of experience, however, respondents are more motivated in leisure than in work. But individuals more motivated in flow than in apathy reported more positive experiences in work. Results suggest implications for improving the quality of everyday life.

1,674 citations

Journal ArticleDOI
TL;DR: The results suggest that the RAPI may be a useful tool for the standardized and efficient assessment of problem drinking during adolescence.
Abstract: Longitudinal data were obtained from a nonclinical sample of 1,308 male and female adolescents covering the age range from 12 to 21. Factor analyses of 52 symptoms and/or consequences of alcohol use yielded three problem dimensions. In addition, a unidimensional, 23-item scale (the Rutgers Alcohol Problem Index, RAPI) was constructed with an internal consistency of .92. Correlations between RAPI and alcohol-use intensity were moderately strong for all age groups at each test occasion (ranging from .20 to .57), yet low enough to suggest that identification of problem drinkers requires both types of measures. The results suggest that the RAPI may be a useful tool for the standardized and efficient assessment of problem drinking during adolescence.

1,673 citations

Journal ArticleDOI
TL;DR: The evidence strongly suggests that exposure to violent video games is a causal risk factor for increased aggressive behavior, aggressive cognition, and aggressive affect and for decreased empathy and prosocial behavior.
Abstract: Meta-analytic procedures were used to test the effects of violent video games on aggressive behavior, aggressive cognition, aggressive affect, physiological arousal, empathy/desensitization, and prosocial behavior. Unique features of this meta-analytic review include (a) more restrictive methodological quality inclusion criteria than in past meta-analyses; (b) cross-cultural comparisons; (c) longitudinal studies for all outcomes except physiological arousal; (d) conservative statistical controls; (e) multiple moderator analyses; and (f) sensitivity analyses. Social-cognitive models and cultural differences between Japan and Western countries were used to generate theory-based predictions. Meta-analyses yielded significant effects for all 6 outcome variables. The pattern of results for different outcomes and research designs (experimental, cross-sectional, longitudinal) fit theoretical predictions well. The evidence strongly suggests that exposure to violent video games is a causal risk factor for increased aggressive behavior, aggressive cognition, and aggressive affect and for decreased empathy and prosocial behavior. Moderator analyses revealed significant research design effects, weak evidence of cultural differences in susceptibility and type of measurement effects, and no evidence of sex differences in susceptibility. Results of various sensitivity analyses revealed these effects to be robust, with little evidence of selection (publication) bias.

1,667 citations

Journal ArticleDOI
TL;DR: This census-based methodology offers a valid and useful approach to overcoming the absence of socioeconomic data in most US medical records.
Abstract: BACKGROUND. Most US medical records lack socioeconomic data, hindering studies of social gradients in health and ascertainment of whether study samples are representative of the general population. This study assessed the validity of a census-based approach in addressing these problems. METHODS. Socioeconomic data from 1980 census tracts and block groups were matched to the 1985 membership records of a large prepaid health plan (n = 1.9 million), with the link provided by each individual's residential address. Among a subset of 14,420 Black and White members, comparisons were made of the association of individual, census tract, and census block-group socioeconomic measures with hypertension, height, smoking, and reproductive history. RESULTS. Census-level and individual-level socioeconomic measures were similarly associated with the selected health outcomes. Census data permitted assessing response bias due to missing individual-level socioeconomic data and also contextual effects involving the interactio...

1,666 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20231,815
20223,981
20214,381
202012,000
201911,826
20187,786