scholarly journals Culturally Relevant Factors and the Young Parenthood Program

2013 ◽  
Vol 103 (4) ◽  
pp. e3-e3
Author(s):  
Kameron Sheats
1996 ◽  
Vol 10 (3) ◽  
pp. 201-209 ◽  
Author(s):  
Christine M. Fink ◽  
Samuel M. Turner ◽  
Deborah C. Beidel

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 917-918
Author(s):  
Marlen Garcia ◽  
Alejandra Morlett Paredes ◽  
Dilip Jeste ◽  
Alison Moore ◽  
Maria J Marquine

Abstract Successful Aging has been defined as the absence of objective physical, cognitive, and social difficulties. More recently, self-rated successful aging (SRSA) has been recognized as an important outcome in its own right. The purpose of this study was to assess SRSA and its correlates among older Hispanics/Latinos. Seventy-four Hispanic/Latino adults age 50+ (31.9% primarily Spanish-speaking; 62.5% women, mean age=69.6±12.2, mean years of education=14.3±3.3) completed a measure of SRSA (scaled from 1 [lowest] to 10 [highest]), and self-report measures of hypothesized correlates, including culturally-relevant factors (language use, acculturation, fatalism, familism, perceived discrimination and frame of reference), as well as physical (perception of physical health and physical performance), cognitive (perception of cognitive problems), and psychosocial correlates (social functioning and resilience). Fifty-five percent of the participants reported SRSA of 8 or above (mean=7.99±, range: 3-10). Factors that were significantly associated with SRSA in univariable models, were entered into a multiple linear regression on SRSA. The final multivariable model explained 58.5% of the variance on SRSA (F(3,54)=27.8, p<.001) and showed that social functioning (B=.21; p=.031), resilience (B=.34; p=.002), and perception of physical health (scaled from 1 [highest] to 5 [lowest]), (B=-.43; p<.001) were independent predictors of SRSA. Culturally-relevant factors were not independently associated with SRSA in the multivariable model. While future longitudinal studies would be better suited to address causality, the present cross-sectional findings indicate psychosocial correlates of SRSA are as important as physical correlates among older Latinos. Future studies might examine whether culturally relevant factors modify these associations.


2017 ◽  
Vol 22 (1) ◽  
pp. 11-16
Author(s):  
Joel Weddington ◽  
Charles N. Brooks ◽  
Mark Melhorn ◽  
Christopher R. Brigham

Abstract In most cases of shoulder injury at work, causation analysis is not clear-cut and requires detailed, thoughtful, and time-consuming causation analysis; traditionally, physicians have approached this in a cursory manner, often presenting their findings as an opinion. An established method of causation analysis using six steps is outlined in the American College of Occupational and Environmental Medicine Guidelines and in the AMA Guides to the Evaluation of Disease and Injury Causation, Second Edition, as follows: 1) collect evidence of disease; 2) collect epidemiological data; 3) collect evidence of exposure; 4) collect other relevant factors; 5) evaluate the validity of the evidence; and 6) write a report with evaluation and conclusions. Evaluators also should recognize that thresholds for causation vary by state and are based on specific statutes or case law. Three cases illustrate evidence-based causation analysis using the six steps and illustrate how examiners can form well-founded opinions about whether a given condition is work related, nonoccupational, or some combination of these. An evaluator's causal conclusions should be rational, should be consistent with the facts of the individual case and medical literature, and should cite pertinent references. The opinion should be stated “to a reasonable degree of medical probability,” on a “more-probable-than-not” basis, or using a suitable phrase that meets the legal threshold in the applicable jurisdiction.


2011 ◽  
Author(s):  
Daniel J. Kruger ◽  
Maryanne L. Fisher ◽  
Carey Fitzgerald
Keyword(s):  

1979 ◽  
Vol 18 (03) ◽  
pp. 175-179
Author(s):  
E. Mabubini ◽  
M. Rainisio ◽  
V. Mandelli

After pointing out the drawbacks of the approach commonly used to analyze the data collected in controlled clinical trials carried out to evaluate the analgesic effect of potential agents, the authors suggest a procedure suitable for analyzing data coded according to an ordinal scale. In the first stage a multivariate analysis is carried out on the codec! data and the projection of each result in the space of the most relevant factors is obtained. In the second stage the whole set of these values is processed by distribution-free tests. The procedure has been applied to data previously published by VENTAITBIDDA et al. [18].


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