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1.
J Psychosom Res ; 173: 111441, 2023 10.
Article En | MEDLINE | ID: mdl-37544160

BACKGROUND: Persistent cognitive complaints belong to the most frequent symptoms after COVID-19. This study explored the neuropsychological profile, mental health and risk factors for cognitive impairment in post-COVID-19 patients. METHODS: The patients were recruited consecutively in the Post COVID Center of the University Hospital of Erlangen between 12/2022 and 05/2023. They underwent an extensive neuropsychological assessment including the Verbal Learning Memory Test (VLMT), the digit span backwards from the Wechsler Memory Scale-Revised (WMS-R), the Trail Making Test (TMT) Part A and B, the d2 Test of Attention and the Regensburger Verbal Fluency Test (RWT). For each cognitive domain we calculated the frequency of age-adjusted scores below the measure-specific norms. Depressive symptoms were measured with the Patient-Health-Questionnaire-9 (PHQ-9). Logistic regression analyses were computed. RESULTS: In 110 patients (mean age: 42.5 ± 11.9 years; 68.2% women), the most frequent cognitive deficits were observed for verbal fluency, working speed, delayed recall and attention. In almost every cognitive domain high education levels were associated with a decreased risk for cognitive impairment. Higher age was a risk factor for working speed and delayed recall and a protective factor for verbal fluency. Clinically relevant depressive symptoms were associated with an elevated risk for an impairment regarding some cognitive functions. CONCLUSION: Cognitive dysfunctions were common among the post-COVID-19 patients. Differentiated exploration of cognitive impairments is crucial for a proper characterization of the post-COVID syndrome. In future research parameters of cognitive impairment should be correlated to alterations in biological markers of the disease like markers of immunological and microcirculation change.


COVID-19 , Cognitive Dysfunction , Humans , Female , Adult , Middle Aged , Male , Cross-Sectional Studies , Mental Health , COVID-19/complications , Cognitive Dysfunction/etiology , Cognition , Neuropsychological Tests
2.
J Psychiatr Res ; 143: 302-308, 2021 Nov.
Article En | MEDLINE | ID: mdl-34530341

Patients with binge eating disorder (BED) display recurring episodes of eating large amounts of food in a short period of time, especially during negative mood states. However, the psychological processes linking negative mood to binge eating behavior have not been sufficiently explored. This study investigated the effects of experimentally inducing a negative (sad) mood state upon reaction times in a computerized Approach-Avoidance-Task (AAT) using images of foods and compared to a neutral control procedure in which negative mood was not induced. Differences in reaction times between "pulling" and "pushing away" food cues in the AAT were considered surrogates for fast, automatic (i.e., implicit) preferences ("bias") for either the approach or avoidance of foods. Obese patients with BED (n = 40), weight-matched (obese) individuals (n = 40), and norm-weight controls (n = 29) were asked to approach ("pull") or avoid ("push") images of high- and low-calorie foods following the induction of a negative mood state vs. the neutral control procedure. Sample size was within the common range of previous investigations of the kind. Similar to previous findings, obese patients with BED exhibited an avoidance bias (i.e., faster reaction times in "pushing" compared to "pulling") during the neutral control condition. However, a contrast analysis revealed that negative mood was associated with decreased avoidance bias in obese patients with BED, but not in obese and norm-weight controls. Mood status exerted no effect on BED patients' self-reported (i.e., explicit) ratings of the urge to consume foods. These findings may help to advance current understanding of how negative (sad) mood states may affect binge eating behaviors. Implications of these findings for developing novel treatment approaches are discussed.


Binge-Eating Disorder , Bulimia , Cues , Food , Humans , Obesity
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