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1.
Child Obes ; 14(7): 468-476, 2018 10.
Article in English | MEDLINE | ID: mdl-30156438

ABSTRACT

Early-onset severe obesity in childhood presents a significant clinical challenge signaling an urgent need for effective and sustainable interventions. A large body of literature examines overweight and obesity, but little focuses specifically on the risk factors for severe obesity in children ages 5 and younger. This narrative review identified modifiable risk factors associated with severe obesity in children ages 5 and younger: nutrition (consuming sugar sweetened beverages and fast food), activity (low frequency of outdoor play and excessive screen time), behaviors (lower satiety responsiveness, sleeping with a bottle, lack of bedtime rules, and short sleep duration), and socio-environmental risk factors (informal child care setting, history of obesity in the mother, and gestational diabetes). The lack of literature on this topic highlights the need for additional research on potentially modifiable risk factors for early-onset severe obesity.


Subject(s)
Obesity, Morbid/prevention & control , Obesity, Morbid/therapy , Pediatric Obesity/prevention & control , Pediatric Obesity/therapy , Body Mass Index , Child , Child, Preschool , Diet , Environment , Exercise , Feeding Behavior , Female , Fruit , Humans , Infant , Infant Nutritional Physiological Phenomena , Infant, Newborn , Male , Maternal Health , Obesity, Morbid/epidemiology , Pediatric Obesity/epidemiology , Risk Factors , Socioeconomic Factors , Vegetables , Weight Gain
2.
Clin Child Fam Psychol Rev ; 14(4): 329-76, 2011 Dec.
Article in English | MEDLINE | ID: mdl-22080334

ABSTRACT

Models of social anxiety and depression in youth have been developed separately, and they contain similar etiological influences. Given the high comorbidity of social anxiety and depression, we examine whether the posited etiological constructs are a correlate of, or a risk factor for, social anxiety and/or depression at the symptom level and the diagnostic level. We find core risk factors of temperament, genetics, and parent psychopathology (i.e., depression and anxiety) are neither necessary nor sufficient for the development of social anxiety and/or depression. Instead, aspects of children's relationships with parents and/or peers either mediates (i.e., explains) or moderates (i.e., interacts with) these core risks being related to social anxiety and/or depression. We then examine various parent- and peer-related constructs contained in the separate models of social anxiety and depression (i.e., parent-child attachment, parenting, social skill deficits, peer acceptance and rejection, peer victimization, friendships, and loneliness). Throughout our review, we report evidence for a Cumulative Interpersonal Risk model that incorporates both core risk factors and specific interpersonal risk factors. Most studies fail to consider comorbidity, thus little is known about the specificity of these various constructs to depression and/or social anxiety. However, we identify shared, differential, and cumulative risks, correlates, consequences, and protective factors. We then put forth demonstrated pathways for the development of depression, social anxiety, and their comorbidity. Implications for understanding comorbidity are highlighted throughout, as are theoretical and research directions for developing and refining models of social anxiety, depression, and their comorbidity. Prevention and treatment implications are also noted.


Subject(s)
Depression/etiology , Models, Psychological , Phobic Disorders/etiology , Child , Child Development , Comorbidity , Depression/epidemiology , Depression/psychology , Friends/psychology , Humans , Interpersonal Relations , Parents/psychology , Peer Group , Phobic Disorders/epidemiology , Phobic Disorders/psychology , Psychological Distance , Risk Factors , Social Adjustment
3.
Pain Pract ; 7(2): 110-22, 2007 Jun.
Article in English | MEDLINE | ID: mdl-17559480

ABSTRACT

To reduce poor surgical outcomes, presurgical psychological evaluations are used to better predict prognosis. The current study investigated the utility of a revised Presurgical Behavioral Medicine Evaluation (PBME) algorithm, developed specifically for patients who were candidates for implantable devices. Patients were categorized into a Green, Yellow I, Yellow II, or Red prognosis group, with Green having the best, and Red having the worst, prognosis for good surgical outcomes. Variables, including gender, disability payment status, and involvement in pending litigation, were found to be significantly different among the groups in a sample of 95 consecutive patients. Analysis of data at the initial evaluation indicated that patients within the Red group endorsed significantly more physical/functional limitations, depressive symptomatology, and psychosocial distress than the Green group. In a 12-month follow-up analysis, significant differences among the four groups on various psychosocial measures were found. In addition, post-hoc tests revealed specific significant differences among the groups. A repeated measures analysis of the initial evaluation, 6-month, and 12-month follow-up data revealed that these measures were also significantly affected by the prognostic group. Lastly, nonparametric analysis indicated that there were significant differences among the groups on total risk factor scores as determined by the PBME algorithm.


Subject(s)
Behavioral Medicine/methods , Pain/psychology , Preoperative Care/psychology , Adult , Aged , Aged, 80 and over , Algorithms , Disability Evaluation , Employment , Female , Follow-Up Studies , Humans , Male , Middle Aged , Neuropsychological Tests , Pain/surgery , Pain Measurement/methods , Prospective Studies , Psychology , Retrospective Studies , Time Factors
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