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1.
Cancer Causes Control ; 31(5): 451-462, 2020 05.
Artículo en Inglés | MEDLINE | ID: mdl-32124188

RESUMEN

PURPOSE: We explored the interaction between non-Hodgkin lymphoma (NHL), infectious mononucleosis (IM) history, and immune-related genotypes in a pooled case-control analysis. METHODS: A total of 7,926 NHL patients and 10,018 controls from 12 case-control studies were included. Studies were conducted during various time periods between 1988 and 2008, and participants were 17-96 years of age at the time of ascertainment/recruitment. Self-reported IM history and immune response genotypes were provided by the InterLymph Data Coordinating Center at Mayo Clinic. Odds ratios (OR) were estimated using multivariate logistic regression, and interactions were estimated using the empirical Bayes method. PACT was used to account for multiple comparisons. RESULTS: There was evidence of an interaction effect between IM history and two variants on T-cell lymphoma (TCL) risk: rs1143627 in interleukin-1B (IL1B) (pinteraction = 0.04, ORinteraction = 0.09, 95% confidence interval [CI] 0.01, 0.87) and rs1800797 in interleukin-6 (IL6) (pinteraction = 0.03, ORinteraction = 0.08, 95% CI 0.01, 0.80). Neither interaction effect withstood adjustment for multiple comparisons. There were no statistically significant interactions between immune response genotypes and IM on other NHL subtypes. CONCLUSIONS: Genetic risk variants in IL1B and IL6 may affect the association between IM and TCL, possibly by influencing T-cell activation, growth, and differentiation in the presence of IM, thereby decreasing risk of immune cell proliferation.


Asunto(s)
Mononucleosis Infecciosa/genética , Linfoma no Hodgkin/genética , Adolescente , Adulto , Anciano , Anciano de 80 o más Años , Teorema de Bayes , Estudios de Casos y Controles , Femenino , Genotipo , Humanos , Mononucleosis Infecciosa/inmunología , Masculino , Persona de Mediana Edad , Factores de Riesgo , Autoinforme , Adulto Joven
4.
J Altern Complement Med ; 27(9): 738-749, 2021 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-34037459

RESUMEN

Introduction: To determine the effects of a novel lifestyle intervention combining lifestyle behavioral education with the complementary-integrative health modality of guided imagery (GI) on dietary and physical activity behaviors in adolescents. The primary aim of this study was to determine the incremental effects of the lifestyle education, stress reduction GI (SRGI), and lifestyle behavior GI (LBGI) components of the intervention on the primary outcome of physical activity lifestyle behaviors (sedentary behavior, light, moderate, and vigorous physical activity), as well as dietary intake behaviors, at the completion of the 12-week intervention. The authors hypothesized that the intervention would improve obesity-related lifestyle behaviors. Materials and Methods: Two hundred and thirty-two adolescent participants (aged 14-17 years, sophomore or junior year of high school) were cluster randomized by school into one of four intervention arms: nonintervention Control (C), Lifestyle education (LS), SRGI, and LBGI. After-school intervention sessions were held two (LS) or three (SRGI, LBGI) times weekly for 12 weeks. Physical activity (accelerometry) and dietary intake (multiple diet recalls) outcomes were assessed pre- and postintervention. Primary analysis: intention-to-treat (ITT) mixed-effects modeling with diagonal covariance matrices; secondary analysis: ad hoc subgroup sensitivity analysis using only those participants adherent to protocol. Results: ITT analysis showed that the Healthy Eating Index (HEI) increased in the LS group compared with C (p = 0.02), but there was no additional effect of GI. Among adherent participants, sedentary behavior was decreased stepwise relative to C in SRGI (d = -0.73, p = 0.004) > LBGI (d = -0.59, p = 0.04) > LS (d = -0.41, p = 0.07), and moderate + vigorous physical activity was increased in SRGI (d = 0.58, p = 0.001). Among adherent participants, the HEI was increased in LS and SRGI, and glycemic index reduced in LBGI. Conclusions: While ITT analysis was negative, among adherent participants, the Imagine HEALTH lifestyle intervention improved eating habits, reduced sedentary activity, and increased physical activity, suggesting that GI may amplify the role of lifestyle education alone for some key outcomes. Clinical Trials.gov ID: NCT02088294.


Asunto(s)
Imágenes en Psicoterapia , Estilo de Vida , Adolescente , Dieta , Ejercicio Físico , Humanos , Obesidad/terapia
5.
Am Surg ; 85(10): 1166-1170, 2019 Oct 01.
Artículo en Inglés | MEDLINE | ID: mdl-31657317

RESUMEN

Youth and young adult interpersonal violence (IPV) is a unique clinical challenge which merits study. This study defined the demographics and clinical outcomes of youth and young adult victims of IPV presenting to our hospital while examining violent injury recidivism. We reviewed patients aged 10 to 30 years admitted to our trauma bay as a victim of gunshot wound (GSW), stabbing wound, or blunt assault from 1998 to 2015 (n = 12,549). Logistic regression analysis was conducted to compare patient mortality across demographic characteristics, and Cox proportional hazards regression was used to determine risk factors for recidivism. Male (92%) and Hispanic patients (75%) constituted the majority of admissions. We observed differences in the mortality rate by gender (9% in males vs 5% in females, P < 0.001), race/ethnicity (5% non-Hispanic white vs 9% Hispanic, P = 0.001), insurance status (3% insured vs 10% uninsured, P < 0.001), and mechanism of injury (13% GSW, 2% stabbing wound, and 0.3% blunt assault, P < 0.001). Male gender, younger age, GSW, and amphetamine placed patients at higher risk for IPV recidivism (P < 0.05). This study demonstrates the need to better understand how demographics and economics are associated with youth and young adult IPV. In addition, future IPV prevention and intervention initiatives can be tailored to suit the unique needs of our population.


Asunto(s)
Víctimas de Crimen/estadística & datos numéricos , Reincidencia/estadística & datos numéricos , Heridas por Arma de Fuego/mortalidad , Heridas no Penetrantes/mortalidad , Heridas Punzantes/mortalidad , Adolescente , Adulto , Pueblo Asiatico/estadística & datos numéricos , Población Negra/estadística & datos numéricos , Niño , Femenino , Violencia con Armas/estadística & datos numéricos , Hispánicos o Latinos/estadística & datos numéricos , Humanos , Seguro de Salud/estadística & datos numéricos , Masculino , Oportunidad Relativa , Reincidencia/etnología , Análisis de Regresión , Estudios Retrospectivos , Factores de Riesgo , Distribución por Sexo , Población Blanca/estadística & datos numéricos , Heridas por Arma de Fuego/epidemiología , Heridas por Arma de Fuego/etnología , Heridas no Penetrantes/epidemiología , Heridas no Penetrantes/etnología , Heridas Punzantes/epidemiología , Heridas Punzantes/etnología , Adulto Joven
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