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Tsai DHT, Bell JS, Abtahi S, Baak BN, Bazelier MT, Brauer R, Chan AYL, Chan EW, Chen H, Chui CSL, Cook S, Crystal S, Gandhi P, Hartikainen S, Ho FK, Hsu ST, Ilomäki J, Kim JH, Klungel OH, Koponen M, Lau WCY, Lau KK, Lum TYS, Luo H, Man KKC, Pell JP, Setoguchi S, Shao SC, Shen CY, Shin JY, Souverein PC, Tolppanen AM, Wei L, Wong ICK, Lai ECC. Cross-Regional Data Initiative for the Assessment and Development of Treatment for Neurological and Mental Disorders. Clin Epidemiol 2023; 15:1241-1252. [PMID: 38146486 PMCID: PMC10749544 DOI: 10.2147/clep.s426485] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 11/04/2023] [Indexed: 12/27/2023] Open
Abstract
Purpose To describe and categorize detailed components of databases in the Neurological and Mental Health Global Epidemiology Network (NeuroGEN). Methods An online 132-item questionnaire was sent to key researchers and data custodians of NeuroGEN in North America, Europe, Asia and Oceania. From the responses, we assessed data characteristics including population coverage, data follow-up, clinical information, validity of diagnoses, medication use and data latency. We also evaluated the possibility of conversion into a common data model (CDM) to implement a federated network approach. Moreover, we used radar charts to visualize the data capacity assessments, based on different perspectives. Results The results indicated that the 15 databases covered approximately 320 million individuals, included in 7 nationwide claims databases from Australia, Finland, South Korea, Taiwan and the US, 6 population-based electronic health record databases from Hong Kong, Scotland, Taiwan, the Netherlands and the UK, and 2 biomedical databases from Taiwan and the UK. Conclusion The 15 databases showed good potential for a federated network approach using a common data model. Our study provided publicly accessible information on these databases for those seeking to employ real-world data to facilitate current assessment and future development of treatments for neurological and mental disorders.
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Affiliation(s)
- Daniel Hsiang-Te Tsai
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- Centre for Neonatal and Paediatric Infection, St George’s University of London, London, UK
| | - J Simon Bell
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, Australia
| | - Shahab Abtahi
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, the Netherlands
| | - Brenda N Baak
- PHARMO Institute for Drug Outcomes Research, Utrecht, the Netherlands
| | - Marloes T Bazelier
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, the Netherlands
| | - Ruth Brauer
- Research Department of Practice and Policy, UCL School of Pharmacy, London, UK
| | - Adrienne Y L Chan
- Research Department of Practice and Policy, UCL School of Pharmacy, London, UK
- Groningen Research Institute of Pharmacy, Unit of Pharmacotherapy, ‐Epidemiology and ‐Economics, University of Groningen, Groningen, the Netherlands
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Special Administrative Region, People’s Republic of China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science Park, Hong Kong, Special Administrative Region, People’s Republic of China
| | - Esther W Chan
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science Park, Hong Kong, Special Administrative Region, People’s Republic of China
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Special Administrative Region, People’s Republic of China
- Department of Pharmacy, the University of Hong Kong-Shenzhen Hospital, Shenzhen, People’s Republic of China
- The University of Hong Kong Shenzhen Institute of Research and Innovation, Shenzhen, People’s Republic of China
| | - Haoqian Chen
- Center for Pharmacoepidemiology and Treatment Science (PETS), Institute for Health, Rutgers University, New Brunswick, NJ, USA
| | - Celine S L Chui
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science Park, Hong Kong, Special Administrative Region, People’s Republic of China
- School of Nursing, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Special Administrative Region, People’s Republic of China
- School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Special Administrative Region, People’s Republic of China
| | - Sharon Cook
- Center for Health Services Research, Rutgers University, New Brunswick, NJ, USA
| | - Stephen Crystal
- Center for Health Services Research, Rutgers University, New Brunswick, NJ, USA
| | - Poonam Gandhi
- Center for Pharmacoepidemiology and Treatment Science (PETS), Institute for Health, Rutgers University, New Brunswick, NJ, USA
| | - Sirpa Hartikainen
- Kuopio Research Centre of Geriatric Care and School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Frederick K Ho
- School of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Shao-Ti Hsu
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Jenni Ilomäki
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, Australia
| | - Ju Hwan Kim
- School of Pharmacy, Sungkyunkwan University, Suwon, South Korea
| | - Olaf H Klungel
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, the Netherlands
| | - Marjaana Koponen
- Kuopio Research Centre of Geriatric Care and School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Wallis C Y Lau
- Research Department of Practice and Policy, UCL School of Pharmacy, London, UK
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Special Administrative Region, People’s Republic of China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science Park, Hong Kong, Special Administrative Region, People’s Republic of China
| | - Kui Kai Lau
- Division of Neurology, Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Special Administrative Region, People’s Republic of China
- State Key Laboratory of Brain and Cognitive Sciences, University of Hong Kong, Hong Kong, Special Administrative Region, People’s Republic of China
| | - Terry Y S Lum
- Department of Social Work and Social Administration, University of Hong Kong, Hong Kong, Special Administrative Region, People’s Republic of China
| | - Hao Luo
- Department of Social Work and Social Administration, University of Hong Kong, Hong Kong, Special Administrative Region, People’s Republic of China
| | - Kenneth K C Man
- Research Department of Practice and Policy, UCL School of Pharmacy, London, UK
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Special Administrative Region, People’s Republic of China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science Park, Hong Kong, Special Administrative Region, People’s Republic of China
| | - Jill P Pell
- School of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Soko Setoguchi
- Center for Pharmacoepidemiology and Treatment Science (PETS), Institute for Health, Rutgers University, New Brunswick, NJ, USA
- Department of Medicine, Rutgers Robert Wood Johnson Medical School and Pharmacoepidemiology and Treatments Science, Institute for Health, Rutgers University, New Brunswick, NJ, USA
| | - Shih-Chieh Shao
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- Department of Pharmacy, Keelung Chang Gung Memorial Hospital, Keelung, Taiwan
| | - Chin-Yao Shen
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Ju-Young Shin
- School of Pharmacy, Sungkyunkwan University, Suwon, South Korea
- Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, South Korea
- Department of Biohealth Regulatory Science, Sungkyunkwan University, Seoul, South Korea
| | - Patrick C Souverein
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, the Netherlands
| | - Anna-Maija Tolppanen
- Kuopio Research Centre of Geriatric Care and School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Li Wei
- Research Department of Practice and Policy, UCL School of Pharmacy, London, UK
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science Park, Hong Kong, Special Administrative Region, People’s Republic of China
| | - Ian C K Wong
- Research Department of Practice and Policy, UCL School of Pharmacy, London, UK
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Special Administrative Region, People’s Republic of China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science Park, Hong Kong, Special Administrative Region, People’s Republic of China
- Aston Pharmacy School, Aston University, Birmingham, UK
| | - Edward Chia-Cheng Lai
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
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Sharma R, Dillon K, Williams SEE, McIntosh R. Does emotion regulation network mediate the effect of social network on psychological distress among older adults? Soc Neurosci 2023; 18:142-154. [PMID: 37267049 DOI: 10.1080/17470919.2023.2218619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 05/12/2023] [Indexed: 06/04/2023]
Abstract
Socio-emotional interactions are integral for regulating emotions and buffering psychological distress. Social neuroscience perspectives on aging suggest that empathetic interpersonal interactions are supported by the activation of brain regions involved in regulating negative affect. The current study tested whether resting state functional connectivity of a network of brain regions activated during cognitive emotion regulation, i.e., emotion regulation network (ERN), statistically mediates the frequency of social contact with friends or family on psychological distress. Here, a 10-min resting-state functional MRI scan was collected along with self-reported anxiety/depressive, somatic, and thought problems and social networking from 90 community-dwelling older adults (aged 65-85 years). The frequency of social interactions with family, but not friends and neighbors, was associated with lower psychological distress. The magnitude of this effect was reduced by 33.34% to non-significant upon adding resting state ERN connectivity as a mediator. Follow-up whole-brain graph network analyses revealed that efficiency and centrality of the left inferior frontal gyrus and the right middle temporal gyrus relate to greater family interactions and lower distress. These hubs may help to buffer psychological problems in older adults through interactions involving empathetic and cognitive emotion regulation with close family.
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Affiliation(s)
| | - Kaitlyn Dillon
- Department of Psychology, University of Miami, Miami, Florida, USA
| | | | - Roger McIntosh
- Department of Psychology, University of Miami, Miami, Florida, USA
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van Steen M, Zoet M, Hendriks GJ, Rhebergen D, Lugtenburg A, Lammers M, van den Brink R, Marijnissen R, Voshaar RO, Collard RM, Naarding P. Association Between Personality Traits and Functional Limitations in Older Adults with Affective Disorders: A Cross Sectional Study. Clin Gerontol 2023:1-12. [PMID: 37515583 DOI: 10.1080/07317115.2023.2240317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/31/2023]
Abstract
OBJECTIVES Personality traits and affective disorders are both related to functional limitations. It is unknown whether personality traits have an additional effect on functioning in older adults with affective disorders. We studied the association between personality traits and functioning within this group. METHODS We performed a cross-sectional study of 180 older patients referred to outpatient specialized geriatric mental health care centers with a depressive, anxiety and/or somatic symptom disorder according to DSM-criteria. We studied the association between the Big Five personality traits and functional limitations assessed with the WHO-DAS II, adjusting for potential confounders, including the severity of various affective disorders. RESULTS The 180 patients (57.1% female, mean age 69.2 years) had an average WHO-DAS II score of 31.3 (SD 15.1). Lower scores on Conscientiousness were associated with more overall functional limitations (p = .001), particularly limitations in self-care (p = .001) and household activities (p = .001). Lower Extraversion scores were associated with more limitations in getting along with others (p = .001). CONCLUSIONS Personality traits are related to functional limitations independent of the severity of affective disorders in older adults. CLINICAL IMPLICATIONS Personality traits may be used as predictive factors for functioning in older adults with affective disorders.
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Affiliation(s)
- Manon van Steen
- GGNet Old age, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Monique Zoet
- GGNet Mental Health, Division of Old Age Psychiatry, Warnsveld & Apeldoorn, The Netherlands
| | - Gert Jan Hendriks
- Behavioural Science Institute, Radboud University & Pro Persona Institute for Integrated Mental Health Care, Nijmegen, The Netherlands
| | - Didi Rhebergen
- Mental Health Center GGZ Centraal, Ermelo, Netherlands
- The Department of Psychiatry Amsterdam UMC, VU University Medical Center, Amsterdam Public Health Research Institute, Amsterdam, Netherlands
| | | | | | - Rob van den Brink
- Rob Giel Research Center (RGOc), University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Radboud Marijnissen
- Rob Giel Research Center (RGOc), University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Richard Oude Voshaar
- Rob Giel Research Center (RGOc), University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Rose M Collard
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Paul Naarding
- GGNet Mental Health, Division of Old Age Psychiatry, Warnsveld & Apeldoorn, The Netherlands
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4
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Feng P, Lin L, Wang Y, Chen L, Min J, Xie Y, Liu M, Wei S, Lin S, Yu Q. Impacts of menopause hormone therapy on mood disorders among postmenopausal women. Climacteric 2022; 25:579-585. [PMID: 36179737 DOI: 10.1080/13697137.2022.2026915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
OBJECTIVE This study aimed to explore the modulatory effects of menopause hormone therapy (MHT) on mood disorders among postmenopausal women. METHODS A cross-sectional study was conducted to recruit postmenopausal women, including patients (arranged MHT for over 3 years as the medication group) and non-MHT controls. All participants were asked to respond to the Center for Epidemiological Studies Depression Scale (CES-D) and Generalized Anxiety Disorder Screener (GAD-7) questionnaires to assess their depression and anxiety status. RESULTS A total of 230 cases from the two groups were determined based on propensity score matching analysis by matching the menopausal age and menopausal durations. We found that MHT served as a favorable modulator in the depression status of postmenopausal women. Among the four factors of the CES-D questionnaire, our data indicated that the differences between the two groups fell primarily into two aspects: depressive emotion, and somatic symptoms or retarded activities. MHT was mainly involved in improving the depression of overweight women. However, no substantial effects of MHT were observed on the regulation of anxiety. CONCLUSION Postmenopausal women, especially the overweight population, who have experienced MHT exhibited an improved depressive status but not their anxiety condition.
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Affiliation(s)
- P Feng
- Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetric & Gynecologic Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - L Lin
- Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetric & Gynecologic Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.,Department of Obstetrics and Gynecology, the Maternal & Child Health Hospital of Guangxi Zhuang Autonomous Region, Guangxi, China
| | - Y Wang
- Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetric & Gynecologic Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - L Chen
- Division of Prevention and Community Health, Fuwai Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - J Min
- Beijing Municipal Key Laboratory of Child Development and Nutriomics, Capital Institute of Pediatrics, Beijing, China
| | - Y Xie
- Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetric & Gynecologic Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - M Liu
- Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetric & Gynecologic Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - S Wei
- Department of Obstetrics and Gynecology, Fangchenggang Maternal and Child Health Care Hospital, Guangxi, China
| | - S Lin
- Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetric & Gynecologic Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Q Yu
- Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetric & Gynecologic Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
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Zuidersma M, Müller F, Snippe E, Zuidema SU, Oude Voshaar RC. Feasibility, usability and clinical value of intensive longitudinal diary assessments in older persons with cognitive impairment and depressive symptoms. Aging Ment Health 2022:1-10. [PMID: 35876158 DOI: 10.1080/13607863.2022.2102143] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
OBJECTIVES To evaluate the feasibility, usability and clinical value of daily diary assessments combined with actigraphy in older persons with cognitive impairment. METHODS For 63 days, patients ≥60 years with cognitive impairments filled out a daily diary (including standardized questionnaires and cognitive test battery), and wore an actiwatch (sleep). After the study, participants and clinicians received personal feedback about patterns and daily triggers of depressive symptoms, sleep and cognitive performance. We assessed feasibility (participation rate, compliance and subjective burden), usability (variability and floor- or ceiling effects) and clinical value for patients and their clinicians (questionnaires). RESULTS Of 96 eligible patients, 13 agreed to participate (13.5%). One patient dropped out after 2 days, another after 37 days, and another did not complete the cognitive test battery. Compliance rate was high (6.7-10% missing values). Subjective burden was relatively low. Time-series data showed sufficient variability and no floor- or ceiling effects, except for one relevant ceiling effect on the One Back task. The personal feedback report was considered insightful by 4 out of 11 participants and 5 out of 7 clinicians. CONCLUSION Daily assessments are suitable for a minority of cognitively impaired older persons, but is helpful to increase insight into their symptoms.
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Affiliation(s)
- Marij Zuidersma
- Interdisciplinary Center Psychopathology and Emotion regulation, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Fabiola Müller
- Department of Health Psychology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Evelien Snippe
- Interdisciplinary Center Psychopathology and Emotion regulation, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Sytse U Zuidema
- Department of General Practice and Elderly Care Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Richard C Oude Voshaar
- Interdisciplinary Center Psychopathology and Emotion regulation, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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Tjoelker FM, Jeuring HW, Aprahamian I, Naarding P, Marijnissen RM, Hendriks GJ, Rhebergen D, Lugtenburg A, Lammers MW, van den Brink RHS, Oude Voshaar RC. The impact of a history of child abuse on cognitive performance: a cross-sectional study in older patients with a depressive, anxiety, or somatic symptom disorder. BMC Geriatr 2022; 22:377. [PMID: 35484493 PMCID: PMC9052677 DOI: 10.1186/s12877-022-03068-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2021] [Accepted: 04/18/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Child abuse is a major global burden with an enduring negative impact on mental and physical health. A history of child abuse is consistently associated with worse cognitive performance among adults; data in older age groups are inconclusive. Since affective symptoms and cognitive functioning are interrelated among older persons, a synergistic effect can be assumed in patients with affective symptoms who also have suffered from child abuse. This study examines the association between a history of child abuse and cognitive performance in such patients. METHODS Cross-sectional data were collected from the 'Routine Outcome Monitoring for Geriatric Psychiatry & Science' project, including 179 older adults (age 60-88 years) with either a unipolar depressive, any anxiety, or somatic symptom disorder referred to specialized geriatric mental health care. A history of physical, sexual, and psychological abuse, and emotional neglect was assessed with a structured interview. Cognitive functioning was measured with three paper and pencils tests (10-words verbal memory test, Stroop Colour-Word test, Digit Span) and four tests from the computerized Cogstate Test Battery (Detection Test, Identification Test, One Card Learning Test, One Back Test). The association between a history of child abuse and cognitive performance was examined by multiple linear regression analyses adjusted for covariates. RESULTS Principal component analyses of nine cognitive parameters revealed four cognitive domains, i.e., visual-verbal memory, psychomotor speed, working memory and interference control. A history of child abuse was not associated with any of these cognitive domains. However, when looking at the specific types of child abuse separately, a history of physical abuse and emotional neglect were associated with poorer interference control. A history of physical abuse was additionally associated with better visual-verbal memory. CONCLUSIONS The association between a history of child abuse and cognitive performance differs between the different types of abuse. A history of physical abuse might particularly be a key determinant of cognitive performance in older adults with a depressive, anxiety, or somatic symptom disorder. Future studies on the impact of these disorders on the onset of dementia should take child abuse into account. TRIAL REGISTRATION ROM-GPS is registered at the Dutch Trial Register ( NL6704 at www.trialregister.nl ).
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Affiliation(s)
- F M Tjoelker
- University of Groningen, University Medical Center Groningen, Rob Giel Research Center (RGOc), PO Box 30.001, 9700 HB, Groningen, The Netherlands
| | - H W Jeuring
- University of Groningen, University Medical Center Groningen, Rob Giel Research Center (RGOc), PO Box 30.001, 9700 HB, Groningen, The Netherlands
| | - I Aprahamian
- University of Groningen, University Medical Center Groningen, Rob Giel Research Center (RGOc), PO Box 30.001, 9700 HB, Groningen, The Netherlands.,Group of Investigation on Multimorbidity and Mental Health in Aging (GIMMA), Geriatrics Division, Internal Medicine Department, Jundiaí Medical School, Jundiaí, Brazil
| | - P Naarding
- GGNet Mental Health, Division of Old Age Psychiatry, Warnsveld & Apeldoorn, The Netherlands
| | - R M Marijnissen
- University of Groningen, University Medical Center Groningen, Rob Giel Research Center (RGOc), PO Box 30.001, 9700 HB, Groningen, The Netherlands
| | - G J Hendriks
- Behavioural Science Institute, Radboud University & Pro Persona Institute for Integrated Mental Health Care, Nijmegen, The Netherlands
| | - D Rhebergen
- Mental Health Center GGZ Centraal, Ermelo, The Netherlands & Psychiatry, Amsterdam UMC, VU University Medical Center, Amsterdam Public Health Research Institute, Amsterdam, Netherlands
| | - A Lugtenburg
- Mental Health Center GGZ Drenthe, Assen, The Netherlands
| | - M W Lammers
- Mediant Mental Health Center, Enschede, The Netherlands
| | - R H S van den Brink
- University of Groningen, University Medical Center Groningen, Rob Giel Research Center (RGOc), PO Box 30.001, 9700 HB, Groningen, The Netherlands
| | - R C Oude Voshaar
- University of Groningen, University Medical Center Groningen, Rob Giel Research Center (RGOc), PO Box 30.001, 9700 HB, Groningen, The Netherlands.
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7
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Schmahl OC, Jeuring HW, Aprahamian I, Naarding P, Marijnissen RM, Hendriks GJ, Fluiter M, Rhebergen D, Lugtenburg A, Lammers MW, van den Brink RHS, Oude Voshaar RC. Impact of childhood trauma on multidimensional frailty in older patients with a unipolar depressive-, anxiety- or somatic symptom disorder. Arch Gerontol Geriatr 2021; 96:104452. [PMID: 34111719 DOI: 10.1016/j.archger.2021.104452] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 05/19/2021] [Accepted: 05/27/2021] [Indexed: 10/21/2022]
Abstract
OBJECTIVES Frailty marks an increased risk for adverse health outcomes. Since childhood trauma is associated with the onset of physical and mental health diseases during the lifespan, we examined the link between childhood trauma and multidimensional frailty. METHOD A cross-sectional study embedded in a clinical cohort study (ROM-GPS) of older (≥60 years) patients (n=182) with a unipolar depressive-, anxiety- and/or somatic symptom disorder according to DSM-criteria referred to specialized geriatric mental health care. Frailty was assessed with the Tilburg Frailty Indicator (TFI), comprising a physical, psychological, and social dimension. Physical, sexual and psychological abuse and emotional neglect before the age of 16 years was measured with a structured interview. RESULTS Of 182 patients, 103 (56.6%) had experienced any childhood trauma and 154 (84.6%) were frail (TFI sum score ≥5). Linear regression analyses, adjusted for lifestyle, psychological and physical-health factors, showed that the presence of any type of childhood trauma was not associated with the TFI sum score, however when considered separately, physical abuse was (ß=0.16, p=.037). Regarding the specific frailty dimensions, any childhood trauma was associated with social frailty (ß=0.18, p=.019), with emotional neglect as main contributor. CONCLUSION These findings demonstrate a complex link between different types of childhood trauma and multidimensional frailty among older psychiatric patients. Regarding the three dimensions of frailty, social frailty seems most affected by childhood trauma. This may have been underestimated until now and should receive more attention in clinical care and future research.
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Affiliation(s)
- O C Schmahl
- University of Groningen, University Medical Center Groningen, Rob Giel Research center (RGOc), The Netherlands
| | - H W Jeuring
- University of Groningen, University Medical Center Groningen, Rob Giel Research center (RGOc), The Netherlands
| | - I Aprahamian
- University of Groningen, University Medical Center Groningen, Rob Giel Research center (RGOc), The Netherlands; Group of Investigation on Multimorbidity and Mental Health in Aging (GIMMA), Geriatrics Division, Internal Medicine Department, Jundiaí Medical School, Jundiaí, Brazil
| | - P Naarding
- GGNet Mental Health, Division of Old Age Psychiatry, Warnsveld & Apeldoorn, The Netherlands
| | - R M Marijnissen
- University of Groningen, University Medical Center Groningen, Rob Giel Research center (RGOc), The Netherlands
| | - G J Hendriks
- Behavioural Science Institute, Radboud University & Pro Persona Institute for Integrated Mental Health Care, Nijmegen, The Netherlands
| | - M Fluiter
- Mental Health Center GGZ Noord-Holland Noord, Heerhugowaard, The Netherlands
| | - D Rhebergen
- Mental Health Center GGZ Centraal, Ermelo, The Netherlands & Psychiatry, Amsterdam UMC, VU University Medical Center, Amsterdam Public Health Research Institute, Amsterdam, Netherlands
| | - A Lugtenburg
- Mental Health Center GGZ Drenthe, Assen, The Netherlands
| | - M W Lammers
- Mediant Mental Health Center, Enschede, The Netherlands
| | - R H S van den Brink
- University of Groningen, University Medical Center Groningen, Rob Giel Research center (RGOc), The Netherlands
| | - R C Oude Voshaar
- University of Groningen, University Medical Center Groningen, Rob Giel Research center (RGOc), The Netherlands.
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Molde H, Nordhus IH, Torsheim T, Engedal K, Bendixen AB, Byrne GJ, Márquez-González M, Losada A, Feng L, Ow EKT, Pisitsungkagarn K, Taephant N, Jarukasemthawee S, Champagne A, Landreville P, Gosselin P, Ribeiro O, Diefenbach GJ, Blank K, Beaudreau SA, Laks J, de Araújo NB, Fonseca RP, Kochhann R, Camozzato A, van den Brink RHS, Fluiter M, Naarding P, Pelzers LPRM, Lugtenburg A, Oude Voshaar RC, Pachana NA. A Cross-National Analysis of the Psychometric Properties of the Geriatric Anxiety Inventory. J Gerontol B Psychol Sci Soc Sci 2021; 75:1475-1483. [PMID: 30624724 DOI: 10.1093/geronb/gbz002] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2018] [Accepted: 01/07/2019] [Indexed: 12/31/2022] Open
Abstract
OBJECTIVES Assessing late-life anxiety using an instrument with sound psychometric properties including cross-cultural invariance is essential for cross-national aging research and clinical assessment. To date, no cross-national research studies have examined the psychometric properties of the frequently used Geriatric Anxiety Inventory (GAI) in depth. METHOD Using data from 3,731 older adults from 10 national samples (Australia, Brazil, Canada, The Netherlands, Norway, Portugal, Spain, Singapore, Thailand, and United States), this study used bifactor modeling to analyze the dimensionality of the GAI. We evaluated the "fitness" of individual items based on the explained common variance for each item across all nations. In addition, a multigroup confirmatory factor analysis was applied, testing for measurement invariance across the samples. RESULTS Across samples, the presence of a strong G factor provides support that a general factor is of primary importance, rather than subfactors. That is, the data support a primarily unidimensional representation of the GAI, still acknowledging the presence of multidimensional factors. A GAI score in one of the countries would be directly comparable to a GAI score in any of the other countries tested, perhaps with the exception of Singapore. DISCUSSION Although several items demonstrated relatively weak common variance with the general factor, the unidimensional structure remained strong even with these items retained. Thus, it is recommended that the GAI be administered using all items.
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Affiliation(s)
- Helge Molde
- Department of Clinical Psychology, University of Bergen, Norway
| | - Inger Hilde Nordhus
- Department of Clinical Psychology, University of Bergen, Norway.,Department of Behavioural Sciences in Medicine, University of Oslo, Norway
| | | | - Knut Engedal
- Department of Geriatric Psychiatry, Diakonhjemmet Hospital, Oslo, Norway and Norwegian National Advisory Unit on Aging and Health, Vestfold Hospital Trust, Toensberg, Norway
| | - Anette Bakkane Bendixen
- Department of Geriatric Psychiatry, Diakonhjemmet Hospital, Oslo, Norway and Norwegian National Advisory Unit on Aging and Health, Vestfold Hospital Trust, Toensberg, Norway
| | - Gerard J Byrne
- School of Clinical Medicine, The University of Queensland, Brisbane, Australia
| | - María Márquez-González
- Biological and Health Psychology Department, Faculty of Psychology, Universidad Autónoma de Madrid, Madrid, Spain
| | - Andres Losada
- Department of Medicine, Clinical Psychology Area, Universidad Rey Juan Carlos, Madrid, Spain
| | - Lei Feng
- Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Elisabeth Kuan Tai Ow
- Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | | | | | | | | | | | | | - Oscar Ribeiro
- Center for Health Technology and Services Research (CINTESIS), Department of Education and Psychology, Aveiro University, Portugal
| | | | - Karen Blank
- Anxiety Disorders Center, Institute of Living, Hartford, Connecticut
| | - Sherry A Beaudreau
- Sierra Pacific Mental Illness Research Education and Clinical Center, VA Palo Alto Health Care System and Psychiatry and Behavioral Sciences, Stanford University of Medicine, Palo Alto, California
| | - Jerson Laks
- Institute of Psychiatry, Universidade Federal do Rio de Janeiro, Brazil
| | | | - Rochele Paz Fonseca
- Graduate Program in Psychology, Pontifical Catholic University of Rio Grande do Sul (PUCRS), Brazil
| | - Renata Kochhann
- Graduate Program in Psychology, Pontifical Catholic University of Rio Grande do Sul (PUCRS), Brazil
| | - Analuiza Camozzato
- Universidade Federal de Ciências da Saúde de Porto Alegre UFCSPA, Brazil
| | - Rob H S van den Brink
- Rob Giel Research center (RGOc), University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Mario Fluiter
- Mental Health Center GGZ Noord-Holland Noord, Heerhugowaard, The Netherlands
| | - Paul Naarding
- GGNet Mental Health, Division of Old Age Psychiatry, Warnsveld & Apeldoorn, The Netherlands
| | | | | | - Richard C Oude Voshaar
- Rob Giel Research center (RGOc), University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Nancy A Pachana
- School of Psychology, The University of Queensland, Brisbane, Australia
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