دانلود مقاله ISI انگلیسی شماره 30213
عنوان فارسی مقاله

خط سیر قبل از بیماری دوران کودکی و عملکرد نوجوانان در جنون طیف اسکیزوفرنی: مطالعه قسمت اول

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
30213 2015 8 صفحه PDF سفارش دهید محاسبه نشده
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عنوان انگلیسی
Trajectories of premorbid childhood and adolescent functioning in schizophrenia-spectrum psychoses: A first-episode study
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Psychiatry Research, Available online 2 March 2015

کلمات کلیدی
- ()تنظیم پیش مرضی - انگیزه سازی اجتماعی - قسمت اول اسکیزوفرنی - روان پریشی - طیف اسکیزوفرنیا -
پیش نمایش مقاله
پیش نمایش مقاله خط سیر قبل از بیماری دوران کودکی و عملکرد نوجوانان در جنون طیف اسکیزوفرنی: مطالعه قسمت اول

چکیده انگلیسی

Evidence of social and behavioral problems preceding the onset of schizophrenia-spectrum psychoses is consistent with a neurodevelopmental model of these disorders. Here we predict that individuals with a first episode of schizophrenia-spectrum psychoses will evidence one of three patterns of premorbid adjustment: an early deficit, a deteriorating pattern, or adequate or good social adjustment. Participants were 164 (38% female; 31% black) individuals ages 15–50 with a first episode of schizophrenia-spectrum psychoses. Premorbid adjustment was assessed using the Cannon-Spoor Premorbid Adjustment Scale. We compared the fit of a series of growth mixture models to examine premorbid adjustment trajectories, and found the following 3-class model provided the best fit with: a “stable-poor” adjustment class (54%), a “stable-good” adjustment class (39%), and a “deteriorating” adjustment class (7%). Relative to the “stable-good” class, the “stable-poor” class experienced worse negative symptoms at 1-year follow-up, particularly in the social amotivation domain. This represents the first known growth mixture modeling study to examine premorbid functioning patterns in first-episode schizophrenia-spectrum psychoses. Given that the stable-poor adjustment pattern was most prevalent, detection of social and academic maladjustment as early as childhood may help identify people at increased risk for schizophrenia-spectrum psychoses, potentially increasing feasibility of early interventions.

مقدمه انگلیسی

Social, cognitive, and behavioral functioning problems are common among individuals with schizophrenia-spectrum psychotic disorders, during the premorbid phase, after the onset of the prodrome, and comorbid with subsequent clinical symptoms. Premorbid dysfunction in childhood and adolescence could contribute to later impairment during illness by derailing learning necessary for social, educational, and occupational skills (Meehl, 1989). Early detection of deficits may improve public health by identifying people at heightened risk for schizophrenia-spectrum psychoses, thereby increasing the feasibility of preventative early interventions and minimizing symptom severity in vulnerable individuals. However, because schizophrenia-spectrum psychotic disorders may represent a heterogeneous set of disorders with multiple etiologies and/or pathologies, early identification has proven complex. Based on a model proposed and presented by the senior author (Haas and Sweeney, 1992), we postulate that poor premorbid functioning may reflect disruption during critical phases of central nervous system development believed to contribute to schizophrenia-spectrum psychoses. For example, neurodevelopmental disruptions during the perinatal and early childhood phases (a “first hit”) may include reduced synaptic plasticity, hippocampal dysgenesis and/or disruption of white matter integrity (Niendam et al., 2009); disruptions during the pubertal phase (a “second hit”) may involve aberrant synaptic pruning, gray and white matter volume reductions, and functional dysconnectivity (Spear, 2004 and Mechelli et al., 2011). Thus, disrupted premorbid social maturation and functioning – starting either in the childhood phase or in the adolescent phase, i.e., after the onset of puberty – may indicate abnormal neurodevelopmental processes. Differential patterns of premorbid adjustment and deviations along the course of premorbid development may represent not only the impact of biological changes, but also of social factors. For example, a person with a trajectory of early social maladjustment may have reduced opportunities for learning social skills, which could reinforce poor social functioning at later developmental stages. Examining different trajectories of premorbid functioning may have implications for the clinical staging model of psychosis (e.g., McGorry, 2007), a model which highlights the need to distinguish different developmental stages of psychosis with the goals of 1) identifying where an individual exists on that continuum and 2) providing tailored interventions to address functional and clinical impairments at a given stage. A number of published studies have found associations between poor and/or deteriorating premorbid functioning and clinical and functional outcomes in patients with schizophrenia-spectrum psychoses, including worse social functioning, longer duration of untreated psychosis (DUP), increased negative symptoms, greater cognitive impairment, and poorer quality of life (e.g., Haas and Sweeney, 1992, Larsen et al., 1996, Addington et al., 2003, Strous et al., 2004 and Haim et al., 2006). Despite converging research suggesting that a subset of people with schizophrenia-spectrum psychoses have especially poor premorbid functioning, findings are less clear in regards to the number and types of premorbid trajectory patterns across developmental periods, with some studies proposing two patterns (poor or intact functioning across development; Farmer et al., 1983, Sham et al., 1996 and Corcoran et al., 2003), and other studies finding three (Haas and Sweeney, 1992) or four (Dickey et al., 1998 and Addington et al., 2003) patterns. In our own previous study (Haas and Sweeney, 1992) we found that total scores on the Premorbid Adjustment Scale (PAS; Cannon-Spoor et al., 1982) differentiated 3 subtypes of patients with first-episode schizophrenia—one with consistent mild-moderate dysfunction, one with stable-poor dysfunction, one with an initially intact premorbid functioning that deteriorated progressively—which capture the variation in onset of poor functioning predicted by a first and second “hit” to neurodevelopmental processes. A recent study by Cole et al. (2012) replicated these three patterns, examining premorbid adjustment of patients with schizophrenia using latent class growth models, however, in that study an initially poor functioning group in childhood decompensated further across development (i.e., “a poor-worsening” group rather that a “stable-poor” group). Thus, the literature on premorbid trajectories suggests that some people with schizophrenia exhibit functional deficits prior to puberty, others after, while others do not exhibit notable behavior changes prior to the onset of the prodrome. Such variance in premorbid patterns of dysfunction is possibly due to heterogeneous neurodevelopmental disruptions in developmentally divergent groups of affected individuals. Furthermore, several studies – all using the PAS – distinguish between the domains of academic and social premorbid functioning, and find a number of differences between the domains in terms of both their developmental trajectories and associations with clinical and cognitive variables (e.g., Mukherjee et al., 1991, van Kammen et al., 1994, Cannon et al., 1997, Allen et al., 2001 and Larsen et al., 2004). In terms of clinical correlates, poor premorbid social functioning has been specifically associated with symptom-related variables, particularly acute and persistent negative symptoms, and longer duration of untreated psychosis (Allen et al., 2001, McClellan et al., 2003, Larsen et al., 2004, Jeppesen et al., 2008, Ruiz-Veguilla et al., 2008, Strauss et al., 2012 and Chang et al., 2013), whereas poor premorbid academic functioning has been specifically associated with greater neurocognitive and intellectual impairment, and earlier onset of prodromal symptoms (Allen et al., 2001, Larsen et al., 2004, Norman et al., 2005 and Rund et al., 2007). In terms of differential trajectories of academic and social premorbid functioning across development, there is some evidence that premorbid academic functioning deteriorates more steeply from childhood across adolescence, compared to a more stable course of social premorbid adjustment (Monte et al., 2008 and Barajas et al., 2013). Investigations of premorbid adjustment trajectories show promise for detecting meaningful patterns of dysfunction prior to the onset of illness; however, prior studies have some limitations. Relatively few studies have examined these questions in first-episode samples, leaving questions about the potential risks of recall bias, inconsistency of illness phase across participants, and introduction of confounds known to influence psychotic symptomatology such as antipsychotic medications. Only one published investigation used state-of-the art empirical modeling techniques, which are able to examine a priori hypotheses in conjunction with plausible competing models ( Cole et al., 2012); however, that study did not examine first-episode samples. The current investigation sought to extend previous findings by examining trajectories of premorbid functioning in a sample of people seeking treatment for a first episode of a schizophrenia-spectrum disorder. Specifically, we: 1) used growth mixture modeling (GMM) to evaluate competing models of trajectories of premorbid functioning across childhood, early adolescence, and late adolescence in order to better identify and distinguish patterns of premorbid functioning, 2) assessed the clinical and demographic correlates of premorbid patterns at baseline, including their relationship to separate academic and social premorbid adjustment domains, and 3) for the sample for which we had conducted follow-up assessments, assessed the relationship of premorbid patterns to clinical outcomes at a 1-year follow-up. It was hypothesized that a 3-class model would provide the best fit for the data, comprised of stable-good, deteriorating, and stable-poor classes.

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