Diagnoses in school-age children of bipolar affective disorder patients and normal controls.
ABSTRACT A family study of psychiatric diagnoses was performed in 29 children of bipolar patients and 37 children of normal controls, ages 6-17. There were no differences in major or minor affective diagnoses between the patient and control groups, but there was an increase of non-specific diagnoses in the patient group. Using DSM-III criteria, 10% of patients' children and 14% of controls' children had had at least one episode of major depression. This suggests that major depression in children is not familially related to adult bipolar major affective disorder. The observed prevalence of depression in childhood is increased when both direct interview of children and interview of parents are performed.
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- "Based on these earlier findings, we hypothesized that: (i) high-risk offspring would develop a broad spectrum of psychiatric disorders and mood disorders in particular; (ii) in a substantial proportion of high-risk offspring, mood disorders Table 1. Parent characteristics in published high-risk studies Study Proband parent diagnosis Setting Sex Psychiatric status of other parent Gershon et al. 1985 (87) BD I Unspecified 41.4% of offspring had one bipolar parent and one parent with an unspecified diagnosis Klein et al. 1985 (88) BD I Inpatients M, F 25% other parents affected Laroche et al. 1989 (89) "
ABSTRACT: A major aim of this longitudinal high-risk study is to identify reliable early indicators of emerging bipolar disorder (BD) among offspring from well-characterized parents. High-risk offspring were recruited from families in which one parent had BD diagnosed on the basis of the Schedule for Affective Disorders and Schizophrenia - Lifetime version (SADS-L) interviews and DSM-IV diagnostic criteria and the other parent was well. Bipolar parents were further subdivided on the basis of response or non-response to long-term lithium. A comparison group of offspring was recruited from well parents diagnosed on the basis of either SADS-L interviews or the family history method. All consenting offspring from high-risk and control families were assessed longitudinally with the Schedule for Affective Disorders and Schizophrenia for School-aged Children - Present and Lifetime version (KSADS-PL) interviews and DSM-IV diagnoses were made on a blind consensus review. The offspring were reassessed on average annually, as well as at any time symptoms developed. Antecedent conditions to BD in both high-risk groups included sleep and anxiety disorders, while attention-deficit hyperactivity disorder and pre-psychotic conditions were antecedents among the offspring of lithium non-responders only. Among those offspring developing BD, the index mood episode was almost always depressive. Despite a specific genetic risk, BD began with non-specific psychopathology and/or depressive disorders in a majority of offspring. Therefore, diagnosis based only on cross-sectional assessment of symptoms appears to be insufficient for the accurate early detection of emerging BD. Other parameters such as family history and associated antecedents should be taken into account.Bipolar Disorders 01/2008; 9(8):828-38. DOI:10.1111/j.1399-5618.2007.00421.x · 4.89 Impact Factor
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- "; Waters and Marchenko-Bouer, 1980; LaRoche et al., 1981, 1985, 1987; Decina et al., 1983; Gershon et al., 1985; Kashani et al., 1985; Klein et al., 1985; Hammen et al., 1987, 1990; Weintraub, 1987; Zahn-Waxler et al., 1988; Nurnberger et al., 1988b; Grigoroiu-Serbanescu et al., 1989; Radke-Yarrow et al., 1992; Carlson and Weintraub, 1993] were analyzed in a meta-analysis [Lapalme et al., 1997] (Table I). Of these 17 studies, 11 also included a comparison group of offspring of parents with no major mental disorder. "
ABSTRACT: Children and adolescents who are the biological offspring of individuals with bipolar disorder (BD) (bipolar offspring) represent a population rich in potential for revealing important aspects in the development of BD. Multiple cross-sectional assessments of psychopathology in bipolar offspring have confirmed high incidences of BD, as well as mood and behavioral disorders, and other psychopathology in this population. Longitudinal studies of offspring have begun to shed light on precursors of BD development. Other assessments of bipolar offspring have included dimensional reports of psychiatric and psychosocial functioning, temperament assessments, and descriptions of family environments and parenting styles. Neurobiological studies in bipolar offspring are just beginning to yield findings that may be related to the underlying neuropathophysiology of BD. The future holds promise for longitudinal studies of bipolar offspring incorporating all of these facets, including genetic analyses, to further elucidate the factors involved in the evolution of BD.American Journal of Medical Genetics Part C Seminars in Medical Genetics 11/2003; 123C(1):26-35. DOI:10.1002/ajmg.c.20011 · 3.54 Impact Factor
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- "But usually studies concerned with offspring of bipolar parents did not consider the severity of the psychopathology found in children through its impact on the adaptive functioning of children (except the studies by McKnew et al. (1979) and Gershon et al. (1985), in which severity of depression was rated). "
ABSTRACT: Seventy-two proband children aged 10-17 of bipolar parents, matched with 72 control children of normal parents, were investigated using DSM-III diagnostic criteria and multiple sources of information. The psychopathology rate in children (61% in probands versus 25% in controls) was related to the impact of psychic disorders on the children's adaptive functioning. The effect of several variables describing the psychiatric status of both parents and familial environment on the severity of psychopathology in children was analysed. Disordered and non-disordered probands were compared with respect to illness characteristics of their parents, familial environment, personality traits, and IQ by means of canonical discriminant analysis.Journal of Affective Disorders 03/1989; 16(2-3):167-79. DOI:10.1016/0165-0327(89)90071-2 · 3.71 Impact Factor