2 resultados para Spatial Mixture Models

em Digital Commons @ DU | University of Denver Research


Relevância:

80.00% 80.00%

Publicador:

Resumo:

Although NSSI engagement is a growing public health concern, little research has documented the developmental precursors to NSSI in longitudinal studies using youth samples. This study aimed to expand upon previous research on groups of NSSI engagement in a population-based sample of youth using multi-wave data. Moreover, this study examined whether chronic peer and romantic stress, the serotonin transporter gene (5-HTTLPR), parenting behaviors, and negative attributional style predicted the NSSI group membership as well as the role of sex and grade. Participants were 549 youth in beginning in the 3rd, 6th, and 9th grades at the baseline assessment. NSSI was assessed across 7 waves of data. Chronic peer and romantic stress, 5-HTTLPR, parenting behaviors, and negative attributional style were assessed at baseline. Growth mixture models, conducted to test the latent trajectory of NSSI groups did not converge. Three NSSI groups were manually created according to classifications that were determined a priori. NSSI groups included: no NSSI (85.1%), episodic NSSI (8.5%), and repeated NSSI (6.4%). Chronic peer and romantic stress, sex, and grade differentiated the no NSSI vs. repeated NSSI groups and the episodic NSSI vs. repeated NSSI groups. Specifically, higher levels of stress, being female, and being in higher grades related to repeated NSSI. 5-HTTLPR differentiated the no NSSI vs. repeated NSSI groups, such that carrying the short allele of 5-HTTLPR related to repeated NSSI. Exploratory analyses revealed that the relationship between attributional style and NSSI group was moderated by grade. This study suggests chronic interpersonal peer and romantic stress is an important factor placing youth at greater risk for repeatedly engaging in NSSI.

Relevância:

40.00% 40.00%

Publicador:

Resumo:

Understanding spatial distributions and how environmental conditions influence catch-per-unit-effort (CPUE) is important for increased fishing efficiency and sustainable fisheries management. This study investigated the relationship between CPUE, spatial factors, temperature, and depth using generalized additive models. Combinations of factors, and not one single factor, were frequently included in the best model. Parameters which best described CPUE varied by geographic region. The amount of variance, or deviance, explained by the best models ranged from a low of 29% (halibut, Charlotte region) to a high of 94% (sablefish, Charlotte region). Depth, latitude, and longitude influenced most species in several regions. On the broad geographic scale, depth was associated with CPUE for every species, except dogfish. Latitude and longitude influenced most species, except halibut (Areas 4 A/D), sablefish, and cod. Temperature was important for describing distributions of halibut in Alaska, arrowtooth flounder in British Columbia, dogfish, Alaska skate, and Aleutian skate. The species-habitat relationships revealed in this study can be used to create improved fishing and management strategies.