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Geng M, Ding P, Wang S, Wang B, Tong J, Gao H, Yan S, Liu K, Wu X, Zhu P, Cao Y, Huang K, Tao F. Prenatal antibiotics exposure and preschoolers' internalizing and externalizing problems: A biomonitoring-based prospective birth cohort study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 919:170891. [PMID: 38346651 DOI: 10.1016/j.scitotenv.2024.170891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 01/24/2024] [Accepted: 02/08/2024] [Indexed: 02/16/2024]
Abstract
BACKGROUND Biomonitoring-based epidemiological studies on prenatal antibiotic exposure and behavioral problems in preschoolers are lacking. The present study aimed to investigate the relationship between prenatal antibiotic exposure and internalizing and externalizing problems in preschoolers. METHODS Data from 2449 mother-child pairs were analyzed. Urine samples were repeatedly collected across three trimesters, and 43 antibiotics and 2 metabolites were measured, including preferred as veterinary antibiotics (PVAs), VAs, preferred as human antibiotics and human antibiotics. Preschoolers' internalizing and externalizing problems were evaluated by the Achenbach Child Behavior Checklist. Poisson regression models with generalized estimating equations were used to estimate risk ratios (RRs) and 95 % confidence intervals (CIs) for preschoolers' internalizing, externalizing and total problems across tertiles of antibiotic concentrations during three periods of pregnancy, and performed several subgroup analyses. RESULTS First-trimester urinary oxytetracycline (RR = 1.69, 95%CI: 1.20, 2.39, P-FDR = 0.011), tetracycline (RR = 1.91, 95%CI: 1.36, 2.68, P-FDR < 0.001), doxycycline (RR = 1.66, 95%CI: 1.28, 2.17, P-FDR < 0.001) and PVAs (RR = 1.79, 95%CI: 1.29, 2.48, P-FDR < 0.001) concentrations in the highest tertile were related to an elevated risk of internalizing problems compared with concentrations in the lowest tertile. First-trimester urinary doxycycline concentrations in the third tertile were also associated with an increased risk of externalizing problems compared with the first tertile (RR = 2.00, 95%CI: 1.28, 3.15, P-FDR = 0.042). Compared with concentrations in the lowest tertile, first-trimester urinary doxycycline (RR = 1.63, 95%CI: 1.19, 2.22, P-FDR = 0.028) and PVAs (RR = 1.67, 95%CI: 1.14, 2.43, P-FDR = 0.047) concentrations in the middle tertile were related to an increased risk of total problems. Furthermore, the type of main caregiver and children's outdoor activities time modified the relationships between specific prenatal antibiotic exposure and preschoolers' behavioral problems. CONCLUSIONS Exposure to specific antibiotics during the first trimester may be related to an increased risk of internalizing and externalizing problems in preschoolers.
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Affiliation(s)
- Menglong Geng
- School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No. 81 Meishan Road, Hefei 230032, Anhui, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract (Anhui Medical University), No. 81 Meishan Road, Hefei 230032, Anhui, China; Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China; Scientific Research Center in Preventive Medicine, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China
| | - Peng Ding
- School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No. 81 Meishan Road, Hefei 230032, Anhui, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract (Anhui Medical University), No. 81 Meishan Road, Hefei 230032, Anhui, China; Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China; Scientific Research Center in Preventive Medicine, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China
| | - Sheng Wang
- The Center for Scientific Research of Anhui Medical University, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China
| | - Baolin Wang
- School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China
| | - Juan Tong
- School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No. 81 Meishan Road, Hefei 230032, Anhui, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract (Anhui Medical University), No. 81 Meishan Road, Hefei 230032, Anhui, China; Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China; Scientific Research Center in Preventive Medicine, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China
| | - Hui Gao
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No. 81 Meishan Road, Hefei 230032, Anhui, China; Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China; Department of Pediatric, the First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei 230022, Anhui, China
| | - Shuangqin Yan
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No. 81 Meishan Road, Hefei 230032, Anhui, China; Ma'anshan Maternal and Child Healthcare (MCH) Center, Ma'anshan 243011, China
| | - Kaiyong Liu
- School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No. 81 Meishan Road, Hefei 230032, Anhui, China; Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China
| | - Xiaoyan Wu
- School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No. 81 Meishan Road, Hefei 230032, Anhui, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract (Anhui Medical University), No. 81 Meishan Road, Hefei 230032, Anhui, China; Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China
| | - Peng Zhu
- School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No. 81 Meishan Road, Hefei 230032, Anhui, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract (Anhui Medical University), No. 81 Meishan Road, Hefei 230032, Anhui, China; Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China
| | - Yunxia Cao
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No. 81 Meishan Road, Hefei 230032, Anhui, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract (Anhui Medical University), No. 81 Meishan Road, Hefei 230032, Anhui, China
| | - Kun Huang
- School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No. 81 Meishan Road, Hefei 230032, Anhui, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract (Anhui Medical University), No. 81 Meishan Road, Hefei 230032, Anhui, China; Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China; Scientific Research Center in Preventive Medicine, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China
| | - Fangbiao Tao
- School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No. 81 Meishan Road, Hefei 230032, Anhui, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract (Anhui Medical University), No. 81 Meishan Road, Hefei 230032, Anhui, China; Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China.
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Nagaoka D, Uno A, Usami S, Tanaka R, Minami R, Sawai Y, Okuma A, Yamasaki S, Miyashita M, Nishida A, Kasai K, Ando S. Identify adolescents' help-seeking intention on suicide through self- and caregiver's assessments of psychobehavioral problems: deep clustering of the Tokyo TEEN Cohort study. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2024; 43:100979. [PMID: 38456092 PMCID: PMC10920037 DOI: 10.1016/j.lanwpc.2023.100979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 11/05/2023] [Accepted: 11/13/2023] [Indexed: 03/09/2024]
Abstract
Background Psychopathological and behavioral problems in adolescence are highly comorbid, making their developmental trajectories complex and unclear partly due to technical limitations. We aimed to classify these trajectories using deep learning and identify predictors of cluster membership. Methods We conducted a population-based cohort study on 3171 adolescents from three Tokyo municipalities, with 2344 pairs of adolescents and caregivers participating at all four timepoints (ages 10, 12, 14, and 16) from 2012 to 2021. Adolescent psychopathological and behavioral problems were assessed by using self-report questionnaires. Both adolescents and caregivers assessed depression/anxiety and psychotic-like experiences. Caregivers assessed obsession/compulsion, dissociation, sociality problem, hyperactivity/inattention, conduct problem, somatic symptom, and withdrawal. Adolescents assessed desire for slimness, self-harm, and suicidal ideation. These trajectories were clustered with variational deep embedding with recurrence, and predictors were explored using multinomial logistic regression. Findings Five clusters were identified: unaffected (60.5%), minimal problems; internalizing (16.2%), persistent or worsening internalizing problems; discrepant (9.9%), subjective problems overlooked by caregivers; externalizing (9.6%), persistent externalizing problems; and severe (3.9%), chronic severe problems across symptoms. Stronger autistic traits and experience of bullying victimization commonly predicted the four "affected" clusters. The discrepant cluster, showing the highest risks for self-harm and suicidal ideation, was predicted by avoiding help-seeking for depression. The severe cluster predictors included maternal smoking during pregnancy, not bullying others, caregiver's psychological distress, and adolescent's dissatisfaction with family. Interpretation Approximately 40% of adolescents were classified as "affected" clusters. Proactive societal attention is warranted toward adolescents in the discrepant cluster whose suicidality is overlooked and who have difficulty seeking help. Funding Japan Ministry of Health, Labor and Welfare, Japan Agency for Medical Research and Development, and Japan Science and Technology Agency.
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Affiliation(s)
- Daiki Nagaoka
- The Department of Neuropsychiatry, The University of Tokyo, Tokyo, Japan
| | - Akito Uno
- The Department of Neuropsychiatry, The University of Tokyo, Tokyo, Japan
| | - Satoshi Usami
- The Graduate School of Education, The University of Tokyo, Tokyo, Japan
| | - Riki Tanaka
- The Department of Neuropsychiatry, The University of Tokyo, Tokyo, Japan
| | - Rin Minami
- The Department of Neuropsychiatry, The University of Tokyo, Tokyo, Japan
| | - Yutaka Sawai
- The Department of Neuropsychiatry, The University of Tokyo, Tokyo, Japan
| | - Ayako Okuma
- The Department of Neuropsychiatry, The University of Tokyo, Tokyo, Japan
| | - Syudo Yamasaki
- Research Center for Social Science & Medicine, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | - Mitsuhiro Miyashita
- Research Center for Social Science & Medicine, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | - Atsushi Nishida
- Research Center for Social Science & Medicine, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | - Kiyoto Kasai
- The Department of Neuropsychiatry, The University of Tokyo, Tokyo, Japan
- The International Research Center for Neurointelligence (WPI-IRCN) at the University of Tokyo Institutes for Advanced Study (UTIAS), Tokyo, Japan
| | - Shuntaro Ando
- The Department of Neuropsychiatry, The University of Tokyo, Tokyo, Japan
- Research Center for Social Science & Medicine, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
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Speyer LG, Hall HA, Ushakova A, Luciano M, Auyeung B, Murray AL. Within-person Relations between Domains of Socio-emotional Development during Childhood and Adolescence. Res Child Adolesc Psychopathol 2022; 50:1261-1274. [PMID: 35670883 DOI: 10.1007/s10802-022-00933-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/08/2022] [Indexed: 02/04/2023]
Abstract
Adolescence is a critical period in the development of mental health with nearly 1 in 5 adolescents suffering from mental health problems and more than 40 percent of these experiencing at least one co-occurring mental health disorder. This study investigates whether there are differences in the relations between key dimensions of child and adolescent mental health in adolescence compared to childhood. Mental health and related socio-emotional traits were measured longitudinally at ages 4, 7, 8, 9, 11, 13, and 16 in the Avon Longitudinal Study of Parents and Children (N = 11279) using the Strengths and Difficulties Questionnaires. Graphical Vector Autoregression models were used to analyse the temporal within-person relations between conduct problems, emotional problems, hyperactivity/inattention, peer problems and prosociality across childhood (ages 4 to 9) and adolescence (11 to 16). Results suggest that adolescence is characterised by an increase in the number and strength of temporal relations between socio-emotional difficulties. In particular, in adolescence there were bidirectional connections between peer problems and emotional problems, between conduct problems and hyperactivity/inattention and between prosociality and conduct problems as well as hyperactivity/inattention. In childhood, conduct problems and prosociality were reciprocally related. Results also suggested peer problems as a potential mediating factor between conduct and emotional problems in childhood. Overall, this study suggests that different domains of socio-emotional development influence each other over development. Adolescence is characterised by an increase in temporal connections, which may be one factor underlying the increased vulnerability to the onset of mental health problems during that period.
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Affiliation(s)
- Lydia Gabriela Speyer
- Department of Psychology, University of Edinburgh, Edinburgh, UK. .,Department of Psychology, University of Cambridge, Downing Site, Cambridge, CB2 3EA, UK.
| | | | - Anastasia Ushakova
- Department of Psychology, University of Edinburgh, Edinburgh, UK.,Medical School, University of Lancaster, Lancashire, UK
| | - Michelle Luciano
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Bonnie Auyeung
- Department of Psychology, University of Edinburgh, Edinburgh, UK.,Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
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