Objective: Administration of atypical antipsychotics often induces significant weight gain and metabolic changes. Little is known about subjective weight-related parameters in adolescent patients. Therefore, this cross-sectional, explorative study aimed to assess these parameters and their relationship with biological weight-related parameters.
Method: 74 patients (mean age: 19.9 [SD ± 2.3] years; 66.2% male) with schizophrenia under clozapine or olanzapine treatment were examined. Subjective well-being, eating behavior, body perception and social functioning were assessed, using the Three-Factor-Eating-Questionnaire, FKB-20 Body Perception Questionnaire, Subjective Well-being under Neuroleptics, Short Form and Global Assessment of Functioning. Patients' biological weight-related parameters were measured as well. Gender differences as well as associations between subjective and biological weight-related parameters were evaluated.
Results: Female patients reported significantly worse negative body appraisal and physical functioning than males. An elevated BMI was associated with impaired physical functioning in females and with negative body appraisal and hunger in males.
Conclusions: In our sample of young patients with schizophrenia unter treatment with atypical antipsychotics, an elevated BMI was associated with impaired physical functioning and negative body appraisal, respectively. Bearing in mind the high risk of obesity in this population, the mentioned impairments should be accounted for, especially in terms of compliance and quality of life.
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http://dx.doi.org/10.1024/1422-4917/a000165 | DOI Listing |
Redox Biol
December 2024
Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing, 210042, China; Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, Nanjing, 210042, China; Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Nanjing, 210042, China; Research Unit of Key Technologies of Immune-related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences Institute of Dermatology, Nanjing, 210042, China; Department of Dermatology, The Second Xiangya Hospital of Central South University, Hunan Key Laboratory of Medical Epigenomics, 139 Middle Renmin Road, Changsha, Hunan, 410011, China. Electronic address:
Am J Lifestyle Med
August 2024
UCT Research Centre for Health Through Physical Activity Lifestyle and Sport (HPALS), Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa (AE, EL, RB, MRB, LW).
Physical inactivity and obesity are detrimental to one's overall health, as they increase the risk of developing non-communicable diseases. Fortunately, physical inactivity and obesity can be improved by supporting lifestyle behavior changes. This support may be provided remotely by Mobile Health (mHealth) messaging interventions, which involve using mobile messages for health improvement.
View Article and Find Full Text PDFClin Nutr
November 2024
Department of Endocrinology and Metabolism and Amsterdam Gastroenterology Endocrinology Metabolism Research Institute, Amsterdam University Medical Center, Amsterdam, the Netherlands. Electronic address:
medRxiv
August 2024
Washington University in St. Louis, Department of Psychological & Brain Sciences.
Background: C-reactive protein (CRP) is a moderately heritable marker of systemic inflammation that is associated with adverse physical and mental health outcomes. Identifying factors associated with genetic liability to elevated CRP in childhood may inform our understanding of variability in CRP that could be targeted to prevent and/or delay the onset of related health outcomes.
Methods: We conducted a phenome-wide association study (PheWAS) of genetic risk for elevated CRP (i.
Species experience a variety of environmental and anthropogenic conditions across their ranges leading to spatial variation in population dynamics. Understanding population dynamics under different conditions is important but it is challenging to allocate limited effort to spatial and temporal subpopulation monitoring. Using GLMMs, we analyze survey data of a metapopulation of coconut crabs spanning 7 years and 15 sites in and near the Pemba archipelago, Zanzibar, to estimate trends in population size (based on catch per unit effort), weight and sex ratio at the meta- and subpopulation level and investigate anthropogenic drivers of these trends.
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