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1.
JAMA Netw Open ; 4(2): e2036682, 2021 02 01.
Artigo em Inglês | MEDLINE | ID: mdl-33587133

RESUMO

Importance: Disaster exposure is associated with the development of posttraumatic stress (PTS) symptoms in youths. However, little is known about how to predict which youths will develop chronic PTS symptoms after disaster exposure. Objective: To evaluate PTS symptom trajectories among youths after 4 major US hurricanes and assess factors associated with those trajectories. Design, Setting, and Participants: This cohort study used integrative data analysis to combine data from 4 studies of youths' responses to natural disasters (hurricanes Andrew [1992], Charley [2004], Ike [2005], and Katrina [2008]) at time points ranging from 3 to 26 months after the disasters. Those studies recruited and surveyed youths aged 6 to 16 years at schools via convenience sampling of schools near the path of destruction for each hurricane. This study was conducted from August 2017 to August 2020, and pooled data were analyzed from February 2019 to October 2020. Exposure: Experience of a natural disaster during the ages of 6 to 16 years. Main Outcomes and Measures: Posttraumatic stress symptoms were assessed using the University of California, Los Angeles, Posttraumatic Stress Disorder Reaction Index (UCLA PTSD-RI) and the UCLA PTSD-RI-Revised. Latent class growth analyses were used to evaluate the youths' PTS symptom trajectories and associated factors. Results: Among 1707 youths included in the study, the mean (SD) age was 9.61 (1.60) years, 922 (54%) were female, and 785 (46%) self-identified as White non-Hispanic. Four PTS symptom trajectories were identified: chronic (171 participants [10%]), recovery (393 [23%]), moderate-stable (563 [33%]), and low-decreasing (580 [34%]). Older youths were less likely to be in the chronic group; compared with the chronic group, each 1-year increase in age was associated with increased odds of being in the other groups (recovery: odds ratio [OR], 1.78 [95% CI, 1.29-2.48]; moderate-stable: OR, 1.94 [95% CI, 1.43-2.62]; and low-decreasing: OR, 2.71 [95% CI, 1.99-3.71]). Compared with males, females had higher odds of being in the chronic group than in any other group (recovery group: OR, 0.48 [95% CI, 0.26-0.91]; moderate-stable group: OR, 0.37 [95% CI, 0.21-0.64]; and low-decreasing group: OR, 0.25 [95% CI, 0.14-0.44]). Conclusions and Relevance: In this cohort study, few youths reported chronic distress, and trajectories among most youths reflected recovery or low-decreasing PTS symptoms. Older age and identification as male were factors associated with decreased odds of a chronic trajectory. Youths with chronic or moderate-stable trajectories may benefit from intervention.


Assuntos
Tempestades Ciclônicas , Desastres Naturais , Transtornos de Estresse Pós-Traumáticos/psicologia , Adolescente , Fatores Etários , Criança , Doença Crônica , Progressão da Doença , Feminino , Humanos , Análise de Classes Latentes , Masculino , Razão de Chances , Fatores Sexuais , Estados Unidos
2.
J Pediatr Psychol ; 45(9): 1016-1026, 2020 10 01.
Artigo em Inglês | MEDLINE | ID: mdl-32885231

RESUMO

OBJECTIVE: Sleep plays a critical role in children's growth and development. This study examined the frequency and persistence of children's sleep problems following a natural disaster, risk factors for children's sleep problems, and the bidirectional relationship between children's sleep problems and posttraumatic stress symptoms (PTSS) over time. METHODS: This study assessed 269 children (53% female, M = 8.70 years, SD = 0.95) exposed to Hurricane Ike at 8 months (Time 1) and 15 months (Time 2) post-disaster. Children completed measures of hurricane exposure and related stressors, stressful life events, sleep problems, and PTSS. RESULTS: Children's sleep problems were significantly correlated from Time 1 to Time 2 (r = .28, p < .001). Risk factors for sleep problems at Time 2 were younger age, sleep problems at Time 1, and PTSS, not including sleep items, at Time 1. Examinations of the bidirectional relationship between sleep problems and PTSS indicated that PTSS significantly predicted later sleep problems, but sleep problems did not significantly predict later PTSS. CONCLUSIONS: Findings demonstrate that PTSS may contribute to the development and course of children's sleep problems post-disaster.


Assuntos
Tempestades Ciclônicas , Desastres , Transtornos do Sono-Vigília , Transtornos de Estresse Pós-Traumáticos , Criança , Feminino , Humanos , Masculino , Fatores de Risco , Transtornos do Sono-Vigília/epidemiologia , Transtornos do Sono-Vigília/etiologia , Transtornos de Estresse Pós-Traumáticos/epidemiologia , Transtornos de Estresse Pós-Traumáticos/etiologia
3.
Child Youth Care Forum ; 48(4): 563-583, 2019 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-34290490

RESUMO

BACKGROUND: As access to open data is increasing, researchers gain the opportunity to build integrated datasets and to conduct more powerful statistical analyses. However, using open access data presents challenges for researchers in understanding the data. Visuals allow researchers to address these challenges by facilitating a greater understanding of the information available. OBJECTIVES: This paper illustrates how visuals can address the challenges that researchers face when using open access data, such as: (1) becoming familiar with the data, (2) identifying patterns and trends within the data, and (3) determining how to integrate data from multiple studies. METHOD: This paper uses data from an integrative data analysis study that combined data from prospective studies of children's responses to four natural disasters: Hurricane Andrew, Hurricane Charley, Hurricane Katrina, and Hurricane Ike. The integrated dataset assessed hurricane exposure, posttraumatic stress symptoms, anxiety, social support, and life events among 1707 participants (53.61% female). The children's ages ranged from 7 to 16 years (M = 9.61, SD = 1.60). RESULTS: Visuals serve as an effective method for understanding new and unfamiliar datasets. CONCLUSIONS: In response to the growth of open access data, researchers must develop the skills necessary to create informative visuals. Most research-based graduate programs do not require programming-based courses for graduation. More opportunities for training in programming languages need to be offered so that future researchers are better prepared to understand new data. This paper discusses implications of current graduate course requirements and standard journal practices on how researchers visualize data.

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