7 resultados para Not-working time

em DigitalCommons@The Texas Medical Center


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Background. Previous research shows inconsistent results as to the association between part-time employment and sexual behavior among younger teens. Studies of older teens cannot be generalized to younger teens because of the wide differences in types of work performed, nature of work environments, and work intensity. Objective. Examine the relationship between part-time employment and sexual behavior in a cross-sectional sample of public middle school students in Houston, Texas. Methods . The study presents a secondary analysis of data from the It’s Your Game…Keep it Real baseline data collection (11/2004–1/2005). It’s Your Game… is an intervention program for middle school students designed to prevent Sexually Transmitted Infections. Statistical analysis. Univariate and multivariate logistic regression analyses were conducted to examine the association between part-time employment and vaginal intercourse: (a) ever had sex; and (b) current sexual activity. Results. Overall, 13.2% of students worked for pay; male students were 1.5 times as likely as females to be working. Of all the students, 11.0% had had sexual intercourse; students who worked were 3 times more likely to be sexually experienced than those who did not. Among students who were sexually experienced, 67.0% were currently sexually active. After adjusting for the other covariates, Hispanic students were almost 3.6 times more likely to report current sexual activity compared to students in other racial/ethnic groups. In univariate analysis, students who worked 1-5 hrs/week were more likely to be sexually experienced than those not currently employed, and the likelihood increased with number of hours worked. There is a similar pattern in the multivariate model, but the odds ratios are too close for the evidence to be more than suggestive. Of sexually experienced students, students working 1-5 hrs/week were 2.7 times more likely to report current sexual intercourse than those not working; those working >5 hrs/week were 4.7 times more likely. The multivariate model showed a similar increase in likelihood, and adjustment for covariates increased these associations: students who worked 1-5 hrs/week were 3.6 times more likely to report current sexual intercourse, and students who worked >5 hrs/week were 4.5 times more likely, than students not currently employed.^

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A community development program operating in the mountains of North India was studied to assess its potential effects on mortality, fertility and migration patterns in the community which it served. The development program operated in Jaunpur Block, Tehri-Garhwal District, Uttar Pradesh State. Two comparable villages in the district were studied. The development program had been working in one for two years, and the other was completely untouched by the program.^ Since not enough time had elapsed since the beginning of the development program's work for any effects on demographic patterns to be visable in Jaunpur Block, this study looked to attitudes of village residents as indicators of future demographic trends. Existing demographic patterns and their interrelationship with socio-religious customs were examined in the test village. A questionnaire was then administered to ascertain attitudinal differences between the residents of the test village and the control village.^ The primary work of the community development program was to train women as village health workers. The results of the attitudinal comparison of the residents of the two villages showed a marked difference in attitudes relating to the position of women in society. The data showed a higher esteem for women in the test village than in the control village, and it is argued that this difference may be attributable to the work of the development program.^ Predicting future demographic trends in Jaunpur Block on the basis of the observed difference in villagers' attitudes toward the status of women is speculatory. Jaunpur Block appears to be in the demographic stage of pre-transition, maintaining relatively high rates of both mortality and fertility. Based on demographic transition theory the next significant change in demographic patterns in Jaunpur is predicted to be a decline in mortality, and an increase in the status of women is unrelated to this prediction.^ The community development program which was studied terminated unexpectedly during the time of this study. A case study of the program's final months is presented, and speculation on the future course of demographic trends in Jaunpur Block is related to the possible alternatives for future development in the area. ^

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"Medicine: Perspectives in History and Art" (Robert E. Greenspan) Eight Practical Lessons from Osler That Will Better Your Life (Bryan Boutwell) History of the American Mental Hospital: From networking to not working & Back (Ed Fann) Ambiguities and Amputations: Methods, mishaps, and the surgical quest to cure breast cancer (Student Essay Contest Winner) (Matt Luedke) An Automated, Algorithmic, Retrospective Analysis of the Growing Influence of Statistics in Medicine (Student Essay Contest Winner) (Ryan Rochat) What’s Special about William Osler? (Charles S. Bryan) The Virtuous Physician: Lessons from Medical Biography (Charles S. Bryan) Legacy: 50 Years of Loving Care – The History of Texas Children’s Hospital, 1954-2004 (Betsy Parish) The Education of a University President: Edgar Odell Lovett of Rice University (John B. Boles) Artists and Illness: The Effect of Illness on an Artist’s Work (David Bybee)

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Background. The CDC estimates that 40% of adults 50 years of age or older do not receive time-appropriate colorectal cancer screening. Sixty percent of colorectal cancer deaths could be prevented by regular screening of adults 50 years of age and older. Yet, in 2000 only 42.5% of adults age 50 or older in the U.S. had received recommended screening. Disparities by health care, nativity status, socioeconomic status, and race/ethnicity are evident. Disparities in minority, underserved populations prevent us from attaining Goal 2 of Healthy People 2010 to “eliminate health disparities.” This review focuses on community-based screening research among underserved populations that includes multiple ethnic groups for appropriate disparities analysis. There is a gap in the colorectal cancer screening literature describing the effectiveness of community-based randomized controlled trials. ^ Objective. To critically review the literature describing community-based colorectal cancer screening strategies that are randomized controlled trials, and that include multiple racial/ethnic groups. ^ Methods. The review includes a preliminary disparities analysis to assess whether interventions were appropriately targeted in communities to those groups experiencing the greatest health disparities. Review articles are from an original search using Ovid Medline and a cross-matching search in Pubmed, both from January 2001 to June 2009. The Ovid Medline literature review is divided into eight exclusionary stages, seven electronic, and the last stage consisting of final manual review. ^ Results. The final studies (n=15) are categorized into four categories: Patient mailings (n=3), Telephone outreach (n=3), Electronic/multimedia (n=4), and Counseling/community education (n=5). Of 15 studies, 11 (73%) demonstrated that screening rates increased for the intervention group compared to controls, including all studies (100%) from the Patient mailings and Telephone outreach groups, 4 of 5 (80%) Counseling/community education studies, and 1 of 4 (25%) Electronic/multimedia interventions. ^ Conclusions. Patient choice and tailoring education and/or messages to individuals have proven to be two important factors in improving colorectal cancer screening adherence rates. Technological strategies have not been overly successful with underserved populations in community-based trials. Based on limited findings to date, future community-based colorectal cancer screening trials should include diverse populations who are experiencing incidence, survival, mortality and screening disparities. ^

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Although the area under the receiver operating characteristic (AUC) is the most popular measure of the performance of prediction models, it has limitations, especially when it is used to evaluate the added discrimination of a new biomarker in the model. Pencina et al. (2008) proposed two indices, the net reclassification improvement (NRI) and integrated discrimination improvement (IDI), to supplement the improvement in the AUC (IAUC). Their NRI and IDI are based on binary outcomes in case-control settings, which do not involve time-to-event outcome. However, many disease outcomes are time-dependent and the onset time can be censored. Measuring discrimination potential of a prognostic marker without considering time to event can lead to biased estimates. In this dissertation, we have extended the NRI and IDI to survival analysis settings and derived the corresponding sample estimators and asymptotic tests. Simulation studies were conducted to compare the performance of the time-dependent NRI and IDI with Pencina’s NRI and IDI. For illustration, we have applied the proposed method to a breast cancer study.^ Key words: Prognostic model, Discrimination, Time-dependent NRI and IDI ^

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This article is a qualitative, personal report from the field, designed to highlight current developments in family-based theory and practice that bring hopefulness to workers and clients. The author, an experienced human services consultant and family therapist, draws from his recent experience in a number of states to identify exemplars of practice in the following areas: integrative theory building, functional family assessment, systems change in regard to inter-agency coordination and foster care, community building in low income neighborhoods, developing humility as helpers, and addressing issues of hope and spirituality with clients and with co-workers. Given the turbulent and hostile political environment for family-based services, this article challenges us to remember that effectiveness in helping others is directly related to our feelings of hopefulness about ourselves and our world.

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The study aim was to determine whether using automated side loader (ASL) trucks in higher proportions compared to other types of trucks for residential waste collection results in lower injury rates (from all causes). The primary hypothesis was that the risk of injury to workers was lower for those who work with ASL trucks than for workers who work with other types of trucks used in residential waste collection. To test this hypothesis, data were collected from one of the nation’s largest companies in the solid waste management industry. Different local operating units (i.e. facilities) in the company used different types of trucks to varying degrees, which created a special opportunity to examine refuse collection injuries and illnesses and the risk reduction potential of ASL trucks.^ The study design was ecological and analyzed end-of-year data provided by the company for calendar year 2007. During 2007, there were a total of 345 facilities which provided residential services. Each facility represented one observation.^ The dependent variable – injury and illness rate, was defined as a facility’s total case incidence rate (TCIR) recorded in accordance with federal OSHA requirements for the year 2007. The TCIR is the rate of total recordable injury and illness cases per 100 full-time workers. The independent variable, percent of ASL trucks, was calculated by dividing the number of ASL trucks by the total number of residential trucks at each facility.^ Multiple linear regression models were estimated for the impact of the percent of ASL trucks on TCIR per facility. Adjusted analyses included three covariates: median number of hours worked per week for residential workers; median number of months of work experience for residential workers; and median age of residential workers. All analyses were performed with the statistical software, Stata IC (version 11.0).^ The analyses included three approaches to classifying exposure, percent of ASL trucks. The first approach included two levels of exposure: (1) 0% and (2) >0 - <100%. The second approach included three levels of exposure: (1) 0%, (2) ≥ 1 - < 100%, and (3) 100%. The third approach included six levels of exposure to improve detection of a dose-response relationship: (1) 0%, (2) 1 to <25%, (3) 25 to <50%, (4) 50 to <75%, (5) 75 to <100%, and (6) 100%. None of the relationships between injury and illness rate and percent ASL trucks exposure levels was statistically significant (i.e., p<0.05), even after adjustment for all three covariates.^ In summary, the present study shows that there is some risk reduction impact of ASL trucks but not statistically significant. The covariates demonstrated a varied yet more modest impact on the injury and illness rate but again, none of the relationships between injury and illness rate and the covariates were statistically significant (i.e., p<0.05). However, as an ecological study, the present study also has the limitations inherent in such designs and warrants replication in an individual level cohort design. Any stronger conclusions are not suggested.^