LINKING SOCIAL-ENVIRONMENTAL RISK FACTORS WITH AGGRESSION IN SUBURBAN ADOLESCENTS: THE ROLE OF SOCIAL-COGNITIVE MEDIATORS

2013 ◽  
Vol 50 (5) ◽  
pp. 433-450 ◽  
Author(s):  
Catherine P. Bradshaw ◽  
Asha Goldweber ◽  
James Garbarino
Keyword(s):  
Risk Factors ◽  
Environmental Risk ◽  
Social Cognitive ◽  
Environmental Risk Factors ◽  
Cognitive Mediators ◽  
Social Environmental

scholarly journals The Role of MicroRNAs in Environmental Risk Factors, Noise-Induced Hearing Loss, and Mental Stress

2018 ◽  
Vol 28 (9) ◽  
pp. 773-796 ◽  
Author(s):  
Verónica Miguel ◽  
Julia Yue Cui ◽  
Lidia Daimiel ◽  
Cristina Espinosa-Díez ◽  
Carlos Fernández-Hernando ◽  
...  
Keyword(s):  
Risk Factors ◽  
Hearing Loss ◽  
Environmental Risk ◽  
Mental Stress ◽  
Environmental Risk Factors ◽  
Noise Induced Hearing Loss

Genetic and environmental risk factors for the weight and shape concerns characteristic of bulimia nervosa

1998 ◽  
Vol 28 (4) ◽  
pp. 761-771 ◽  
Author(s):  
T. WADE ◽  
N. G. MARTIN ◽  
M. TIGGEMANN
Keyword(s):  
Risk Factors ◽  
Bulimia Nervosa ◽  
Environmental Risk ◽  
Environmental Influences ◽  
Model Fitting ◽  
Environmental Risk Factors ◽  
Weight Concern ◽  
Contrast Model ◽  
Shape Concern

Background. This study seeks to identify the genetic and environmental risk factors for the overvalued ideas that are characteristic of bulimia nervosa, using a biometrical model fitting approach with twin data.Methods. The Eating Disorder Examination (EDE), which can be used to gain continuous measures of dietary restraint, eating concern, weight concern and shape concern, was administered to 325 female twins, both monozygotic (MZ) and dizygotic (DZ). For each subscale, questions were asked concerning the month prior to interview and lifetime prevalence (‘ever’).Results. Model fitting indicated that there is a powerful role of the environment in shaping women's attitude towards weight, shape, eating and food, ranging from 38% to 100% of the variance. For all subscales, with the exception of weight concern, the best explanation for individual variation was one that incorporated additive genetic and non-shared environmental influences. In contrast, model fitting indicated that non-shared and shared environmental influences best explained the variance of weight concern.Conclusions. With the exception of the Shape Concern subscale, environmental factors make a greater contribution than genetic factors to the development of the overvalued ideas that are seen to be one of the triggers for the development of bulimia nervosa. Given this substantial role of the environment influences, it seems likely that environmental manipulation can be effective in the prevention of bulimia nervosa.

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