scholarly journals A Prospective Investigation of Physical Health Outcomes in Abused and Neglected Children: New Findings From a 30-Year Follow-Up

2012 ◽  
Vol 102 (6) ◽  
pp. 1135-1144 ◽  
Author(s):  
Cathy Spatz Widom ◽  
Sally J. Czaja ◽  
Tyrone Bentley ◽  
Mark S. Johnson
2021 ◽  
Author(s):  
Joshua R. Oltmanns ◽  
H. Andrew Schwartz ◽  
Camilo Ruggero ◽  
Youngseo Son ◽  
Jiaju Miao ◽  
...  

Background: Recent research on artificial intelligence has demonstrated that natural language can be used to provide valid indicators of psychopathology. The present study examined artificial intelligence-based language predictors (ALPs) of seven trauma-related mental and physical health outcomes in responders to the World Trade Center disaster. Methods: The responders (N = 174, Mage = 55.4 years) provided daily voicemail updates over 14 days. Algorithms developed using machine learning in large social media discovery samples were applied to the voicemail transcriptions to derive ALP scores for several risk factors (depressivity, anxiousness, anger proneness, stress, and personality). Responders also completed self-report assessments of these risk factors at baseline and trauma-related mental and physical health outcomes at two-year follow-up (including symptoms of depression, posttraumatic stress disorder, sleep disturbance, respiratory problems, and GERD). Results: Voicemail ALPs were significantly associated with a majority of the trauma-related outcomes at two-year follow-up, over and above corresponding baseline self-reports. ALPs showed significant convergence with corresponding self-report scales, but also considerable uniqueness from each other and from self-report scales. Limitations: The study has a relatively short follow-up period relative to trauma occurrence and a limited sample size. Conclusions: This study shows evidence that ALPs may provide a novel, objective, and clinically useful approach to forecasting, and may in the future help to identify individuals at risk for negative health outcomes.


2011 ◽  
Author(s):  
Robin L. Toblin ◽  
Brian Kok ◽  
Lyndon A. Riviere ◽  
Charles W. Hoge

Author(s):  
Gayathri S. Kumar ◽  
Jenna A. Beeler ◽  
Emma E. Seagle ◽  
Emily S. Jentes

AbstractSeveral studies describe the health of recently resettled refugee populations in the US beyond the first 8 months after arrival. This review summarizes the results of these studies. Scientific articles from five databases published from January 2008 to March 2019 were reviewed. Articles were included if study subjects included any of the top five US resettlement populations during 2008–2018 and if data described long-term physical health outcomes beyond the first 8 months after arrival in the US. Thirty-three studies met the inclusion criteria (1.5%). Refugee adults had higher odds of having a chronic disease compared with non-refugee immigrant adults, and an increased risk for diabetes compared with US-born controls. The most commonly reported chronic diseases among Iraqi, Somali, and Bhutanese refugee adults included diabetes and hypertension. Clinicians should consider screening and evaluating for chronic conditions in the early resettlement period. Further evaluations can build a more comprehensive, long-term health profile of resettled refugees to inform public health practice.


2021 ◽  
Vol 48 (3) ◽  
pp. 285-294
Author(s):  
Jeannie B. Concha ◽  
Kristen Kelly ◽  
Briana Mezuk

Background. Hispanics/Latinos in the United States experience both a health advantage and disadvantage in developing diabetes. Ethnic identity, a predictor of psychological well-being, has not been widely applied to physical health outcomes. The objective of this study is to apply what is known regarding ethnic identity and psychological health to physical health outcomes (diabetes) and to explore the moderating effect of education as a possible underlying mechanism of the Hispanic Health Advantage/Disadvantage. Specifically, this study examines (a) the association between ethnic identity and diabetes prevalence among adult Hispanics/Latinos and (b) determines whether education modifies this relationship. Method. Data come from the nationally representative adult U.S. household study, National Latino and Asian American Study (NLAAS), collected in 2001 to 2003 ( N = 1,746). Multiple logistic regression was conducted to examine the relationship between ethnic identity, education, and their interaction with likelihood of diabetes. Results. Hispanics/Latinos with high ethnic identity have a higher odds of reporting diabetes among those with 13 to 15 years of education (odds ratio: 1.84; 95% confidence interval: 1.16–2.92) and a lower odds among those with 16+ years of education (odds ratio: 0.53; 95% confidence interval: 0.34–0.84). Ethnic identity is associated with diabetes prevalence and the relationship is moderated by educational attainment. Conclusion. Given the growth, diversity, and diabetes disparities among Hispanics/Latinos, our buffering and exacerbating findings exemplify the complexity and fluidity of theory in understanding psychological/behavioral processes. The findings highlight the importance of designing targeted health interventions that take into account the diverse psychosocial and educational experiences of Hispanics/Latinos.


Sign in / Sign up

Export Citation Format

Share Document