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Dai Y, Yu Y. The Relationship Between Temporal Sense and Psychopathologies of College Students with Sensory Impairments: Mediation of Religions. JOURNAL OF RELIGION AND HEALTH 2024:10.1007/s10943-024-02053-0. [PMID: 38739255 DOI: 10.1007/s10943-024-02053-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 04/21/2024] [Indexed: 05/14/2024]
Abstract
Previous studies on the relationship between temporal sense and negative mental health symptoms have focused primarily on healthy college students, overlooking the role of religion. This study sought to examine the impact of religion on college students with sensory impairment and fill a gap in the research on the relationship between temporal sense and negative mental health symptoms in this population. The results were obtained from a cross sectional survey of 540 participants, including 370 hearing-impaired students and 140 visually impaired students. The survey investigated the mediating effect of religion on the relationship between temporal sense and negative mental health symptoms in impaired students. The rates of negative mental health symptoms (depression, anxiety, and stress) detected were 18.9%, 31.1%, and 2.9%, respectively. Students with different types of sensory impairments showed significant differences in their perception of time. The percentages of students with sensory impairments who attended church and practiced religion were 2.0%, 6.0%, and 1.0%, respectively. The results revealed a significant positive correlation between temporal sense and negative mental health symptoms, with religion serving as a mediating factor.
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Affiliation(s)
- Yan Dai
- College of Special Education, Beijing Union University, 1 Puhuangyu Road Alley 2, Fengtai District, Beijing, China
| | - You Yu
- College of Special Education, Beijing Union University, 1 Puhuangyu Road Alley 2, Fengtai District, Beijing, China.
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Maksyutynska K, Stogios N, Prasad F, Gill J, Hamza Z, De R, Smith E, Horta A, Goldstein BI, Korczak D, Graff-Guerrero A, Hahn MK, Agarwal SM. Neurocognitive correlates of metabolic dysregulation in individuals with mood disorders: a systematic review and meta-analysis. Psychol Med 2024; 54:1245-1271. [PMID: 38450447 DOI: 10.1017/s0033291724000345] [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] [Indexed: 03/08/2024]
Abstract
Individuals with mood disorders are predisposed to metabolic dysfunction, while those with metabolic dysregulation such as diabetes and obesity experience more severe depressive symptoms. Both metabolic dysfunction and mood disorders are independently associated with cognitive deficits. Therefore, given their close association, this study aimed to explore the association between metabolic dysfunction in individuals with mood disorders in relation to cognitive outcomes. A comprehensive search comprised of these three domains was carried out; a random-effects meta-analysis pooling mean cognitive outcomes was conducted (PROSPERO ID: CRD42022295765). Sixty-three studies were included in this review; 26 were synthesized in a quantitative meta-analysis. Comorbid metabolic dysregulation was associated with significantly lower global cognition among individuals with mood disorders. These trends were significant within each mood disorder subgroup, including major depressive disorder, bipolar disorder, and self-report depression/depressive symptoms. Type 2 diabetes was associated with the lowest cognitive performance in individuals with mood disorders, followed by peripheral insulin resistance, body mass index ⩾25 kg/m2, and metabolic syndrome. Significant reduction in scores was also observed among individual cognitive domains (in descending order) of working memory, attention, executive function, processing speed, verbal memory, and visual memory. These findings demonstrate the detrimental effects of comorbid metabolic dysfunction in individuals with mood disorders. Further research is required to understand the underlying mechanisms connecting mood disorders, metabolism, and cognition.
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Affiliation(s)
- Kateryna Maksyutynska
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Schizophrenia Division, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Nicolette Stogios
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Schizophrenia Division, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Femin Prasad
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Schizophrenia Division, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Jashan Gill
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Faculty of Science, McMaster University, Hamilton, ON, Canada
| | - Zaineb Hamza
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada
| | - Riddhita De
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Schizophrenia Division, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Emily Smith
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Schizophrenia Division, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Angelina Horta
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada
| | - Benjamin I Goldstein
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada
| | - Daphne Korczak
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, Hospital for Sick Children, Toronto, ON, Canada
| | - Ariel Graff-Guerrero
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Research Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Margaret K Hahn
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Schizophrenia Division, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Sri Mahavir Agarwal
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Schizophrenia Division, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
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Yu T, Jiang Y, Fan J, Guo X, Hua H, Xu D, Wang Y, Yan C, Xu J. Rapid increases in BMI waist to height ratio during adolescence and subsequent neurobehavioral deficits. Obesity (Silver Spring) 2023; 31:2822-2833. [PMID: 37735781 DOI: 10.1002/oby.23881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 07/05/2023] [Accepted: 07/13/2023] [Indexed: 09/23/2023]
Abstract
OBJECTIVE The aim of this study was to explore prospective relationships between changing patterns of BMI/waist to height ratio (WHtR) during adolescence and subsequent neurobehavioral development. METHODS In this prospective cohort study, randomized stratified sampling was used to recruit six middle schools and 609 students in Shanghai, China. In Grades 6, 7, and 9, the Youth Self Report scale was used to assess student neurobehavioral status and anthropometric measurements were conducted to calculate BMI z scores and WHtRs. Longitudinal data were analyzed using latent class mixture modeling to delineate trajectories of BMI z scores ("stable," "decreasing," "rapidly increasing") and WHtRs ("stable," "rapidly increasing"), and their associations with neurobehavioral status in Grade 9 were assessed. RESULTS In Grades 6 through 9 (ages 11-15 years), the prevalence of overall obesity and abdominal obesity ranged from 10.7% to 13.0% and 13.0% to 19.8%, respectively. Compared with the stable BMI z score trajectory, the rapidly increasing BMI z score trajectory was longitudinally associated with delinquent behavior, aggressive behavior, and externalizing problems (incidence rate ratio: 1.564-1.613, adjusted p < 0.05). Compared with the stable WHtR trajectory, the rapidly increasing WHtR trajectory significantly predicted increased risks of social problems and delinquent behavior (incidence rate ratios: 1.776-1.967, adjusted p < 0.05). Significant associations of the rapidly increasing BMI z score/WHtR trajectories with subsequent neurobehavioral deficits were observed among girls (adjusted p < 0.05) but not among boys (adjusted p > 0.05). CONCLUSIONS Rapid increases in BMI or WHtR during adolescence could predict subsequent neurobehavioral deficits, especially for externalizing behaviors. Timely intervention for weight control may be considered to promote adolescent mental health.
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Affiliation(s)
- Ting Yu
- Shanghai Key Laboratory of Embryo Original Diseases, The International Peace Maternity & Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yining Jiang
- Shanghai Key Laboratory of Embryo Original Diseases, The International Peace Maternity & Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jue Fan
- MOE-Shanghai Key Laboratory of Children's Environmental Health, Department of Child and Adolescent Healthcare, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Changning Maternity & Infant Health Institute, Shanghai, China
| | - Xiangrong Guo
- Shanghai Key Laboratory of Embryo Original Diseases, The International Peace Maternity & Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hui Hua
- Shanghai Key Laboratory of Embryo Original Diseases, The International Peace Maternity & Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Dongqing Xu
- Institute of Higher Education, Fudan University, Shanghai, China
| | - Yuefen Wang
- Shanghai Municipal Education Commission Department, Shanghai, China
| | - Chonghuai Yan
- MOE-Shanghai Key Laboratory of Children's Environmental Health, Department of Child and Adolescent Healthcare, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jian Xu
- Shanghai Key Laboratory of Embryo Original Diseases, The International Peace Maternity & Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- MOE-Shanghai Key Laboratory of Children's Environmental Health, Department of Child and Adolescent Healthcare, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Cui S, Lin Q, Gui Y, Zhang Y, Lu H, Zhao H, Wang X, Li X, Jiang F. CARE as a wearable derived feature linking circadian amplitude to human cognitive functions. NPJ Digit Med 2023; 6:123. [PMID: 37433859 DOI: 10.1038/s41746-023-00865-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Accepted: 06/26/2023] [Indexed: 07/13/2023] Open
Abstract
Circadian rhythms are crucial for regulating physiological and behavioral processes. Pineal hormone melatonin is often used to measure circadian amplitude but its collection is costly and time-consuming. Wearable activity data are promising alternative, but the most commonly used measure, relative amplitude, is subject to behavioral masking. In this study, we firstly derive a feature named circadian activity rhythm energy (CARE) to better characterize circadian amplitude and validate CARE by correlating it with melatonin amplitude (Pearson's r = 0.46, P = 0.007) among 33 healthy participants. Then we investigate its association with cognitive functions in an adolescent dataset (Chinese SCHEDULE-A, n = 1703) and an adult dataset (UK Biobank, n = 92,202), and find that CARE is significantly associated with Global Executive Composite (β = 30.86, P = 0.016) in adolescents, and reasoning ability, short-term memory, and prospective memory (OR = 0.01, 3.42, and 11.47 respectively, all P < 0.001) in adults. Finally, we identify one genetic locus with 126 CARE-associated SNPs using the genome-wide association study, of which 109 variants are used as instrumental variables in the Mendelian Randomization analysis, and the results show a significant causal effect of CARE on reasoning ability, short-term memory, and prospective memory (β = -59.91, 7.94, and 16.85 respectively, all P < 0.0001). The present study suggests that CARE is an effective wearable-based metric of circadian amplitude with a strong genetic basis and clinical significance, and its adoption can facilitate future circadian studies and potential intervention strategies to improve circadian rhythms and cognitive functions.
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Affiliation(s)
- Shuya Cui
- State Key Laboratory of Microbial metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
- SJTU-Yale Joint Center of Biostatistics and Data Science, National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Qingmin Lin
- Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yuanyuan Gui
- State Key Laboratory of Microbial metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
- SJTU-Yale Joint Center of Biostatistics and Data Science, National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yunting Zhang
- Developmental and Behavioral Pediatrics, Child Health Advocacy Institute, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Hui Lu
- State Key Laboratory of Microbial metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
- SJTU-Yale Joint Center of Biostatistics and Data Science, National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Hongyu Zhao
- Department of Biostatistics, Yale University, New Haven, CT, USA
| | - Xiaolei Wang
- State Key Laboratory of Microbial metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
- SJTU-Yale Joint Center of Biostatistics and Data Science, National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, China.
| | - Xinyue Li
- School of Data Science, City University of Hong Kong, Hong Kong SAR, China.
| | - Fan Jiang
- Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
- MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
- Shanghai Center for Brain Science and Brain-Inspired Technology, Shanghai, China.
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Lin Q, Abbey C, Zhang Y, Wang G, Lu J, Dill SE, Jiang Q, Singh MK, She X, Wang H, Rozelle S, Jiang F. Association between mental health and executive dysfunction and the moderating effect of urban-rural subpopulation in general adolescents from Shangrao, China: a population-based cross-sectional study. BMJ Open 2022; 12:e060270. [PMID: 35998954 PMCID: PMC9403159 DOI: 10.1136/bmjopen-2021-060270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
OBJECTIVES To examine the association between mental health and executive dysfunction in general adolescents, and to identify whether home residence and school location would moderate that association. DESIGN A population-based cross-sectional study. SETTING A subsample of the Shanghai Children's Health, Education, and Lifestyle Evaluation-Adolescents project. 16 sampled schools in Shangrao city located in downstream Yangtze River in southeast China (December 2018). PARTICIPANTS 1895 adolescents (48.8% male) which were divided into three subpopulations: (A) adolescents who have urban hukou (ie, household registration in China) and attend urban schools (UU, n=292); (B) adolescents who have rural hukou and attend urban schools (RU, n=819) and (C) adolescents who have rural hukou and attend rural schools (RR, n=784). MEASURES The Depression Anxiety and Stress Scale-21 was used to assess adolescent mental health symptoms, and the Behaviour Rating Inventory of Executive Function (parent form) was applied to measure adolescent executive dysfunction in nature setting. RESULTS Mental health symptoms were common (depression: 25.2%, anxiety: 53.0%, stress: 19.7%) in our sample, and the prevalence rates were lower among UU adolescents than those among the RR and RU, with intersubgroup differences in screen exposure time explaining most of the variance. We found the three types of symptoms were strongly associated with executive dysfunction in general adolescents. We also observed a marginal moderating effect of urban-rural subgroup on the associations: UU adolescents with depression (OR 6.74, 95% CI 3.75 to 12.12) and anxiety (OR 5.56, 95% CI 1.86 to 16.66) had a higher executive dysfunction risk when compared with RR youths with depression (OR 1.93, 95% CI 0.91 to 4.12) and anxiety (OR 1.80, 95% CI 1.39 to 2.33), respectively. CONCLUSIONS Rural adolescents experienced more mental health symptoms, whereas urban individuals with mental health problems had a higher executive dysfunction risk.
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Affiliation(s)
- Qingmin Lin
- Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Cody Abbey
- Freeman Spogli Institute for International Studies, Stanford University, Stanford, California, USA
| | - Yunting Zhang
- Child Health Advocacy Institute, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Guanghai Wang
- Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Center for Brain Science and Brain-Inspired Technology, Shanghai, China
| | - Jinkui Lu
- Department of Physical Education, Shangrao Normal University, Shangrao, China
| | - Sarah-Eve Dill
- Freeman Spogli Institute for International Studies, Stanford University, Stanford, California, USA
| | - Qi Jiang
- Freeman Spogli Institute for International Studies, Stanford University, Stanford, California, USA
| | - M K Singh
- Stanford University School of Medicine, Stanford, California, USA
| | - Xinshu She
- Stanford University School of Medicine, Stanford, California, USA
| | - Huan Wang
- Stanford Center on China's Economy and Institutions, Stanford University, Stanford, California, USA
| | - Scott Rozelle
- Freeman Spogli Institute for International Studies, Stanford University, Stanford, California, USA
| | - Fan Jiang
- Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Center for Brain Science and Brain-Inspired Technology, Shanghai, China
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