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Song Q, Su W, Li N, Wang H, Guo X, Liang Q, Qu G, Ding X, Liang M, Qin Q, Chen M, Sun L, Sun Y. Family function and emotional behavior problems in Chinese children and adolescents: A moderated mediation model. J Affect Disord 2023; 341:296-303. [PMID: 37661061 DOI: 10.1016/j.jad.2023.08.138] [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: 03/02/2023] [Revised: 08/29/2023] [Accepted: 08/31/2023] [Indexed: 09/05/2023]
Abstract
BACKGROUND Studies have shown that family function is associated with emotional behavior problems. However, the underlying relationship mechanisms between family function and emotional behavior problems in children and adolescents is not fully understood. Therefore, the purpose of this study is to explore the mediating effect of resilience and the moderating effect of sleep quality using a moderated mediation model. METHODS 6363 children and adolescents in grades four to nine were surveyed in some areas of Anhui Province, China. Family function, resilience, sleep quality, and emotional behavior problems were measured through a self-administered questionnaire. All data analysis was by performed by SPSS 23.0. RESULTS The results showed that family function was negatively associated with emotional behavior problems (r = -0.307, p < 0.01). Resilience partially mediated the relationship between family function and emotional behavior problems (indirect effect = -0.108, accounted for 38.4 %). Sleep quality moderated the relationship between family function and resilience (β = -0.039, P < 0.001). CONCLUSION Resilience and sleep quality respectively played a mediating and moderating effect in the relationship between family function and emotional behavior problems. These findings suggest that we should pay attention to the family function of children and adolescents in time, improve their resilience and sleep quality, so as to effectively reduce the occurrence of emotional behavior problems.
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Affiliation(s)
- Qiuxia Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China; Taizhou Center for Disease Control and Prevention, No.318 Yongtai Road, Taizhou 225300, Jiangsu, China
| | - Wanying Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China; Department of Hospital Infection Control, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, China
| | - Ning Li
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China; Department of Psychiatry, Xijing Hosptial, Air Force Medical University, Xi'an 710032, China
| | - Hao Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China
| | - Xianwei Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China
| | - Qiwei Liang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China; Children's Medical Center, Anhui Medical University No.39 Wangjiang Road East, Hefei 230051, Anhui, China
| | - Guangbo Qu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China
| | - Xiuxiu Ding
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China; Center for Scientific Research and Experiment, the Second Affiliated Hospital of Anhui Medical University, No. 678 Furong Road, Hefei 230601, Anhui, China
| | - Mingming Liang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China
| | - Qirong Qin
- Ma'anshan Center for Disease Control and Prevention, No.849, Jiangdong Avenue, Ma'anshan 243011, Anhui, China
| | - Mingchun Chen
- Changfeng County Center for Disease Control and Prevention, Hefei 231199, Anhui, China
| | - Liang Sun
- Fuyang Center for Disease Control and Prevention, No.19, Zhongnan Avenue, Fuyang 236069, Anhui, China
| | - Yehuan Sun
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China; Chaohu Hospital, Anhui Medical University, No. 64 Chaohubei Road, Hefei 238006, Anhui, China; Center for Evidence-Based Practice, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China.
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Bartels HC, O'Keeffe LM, Yelverton CA, O'Neill KN, Geraghty AA, O'Brien EC, Killeen SL, McDonnell C, McAuliffe FM. Associations between maternal metabolic parameters during pregnancy and fetal and child growth trajectories from 20 weeks' gestation to 5 years of age: Secondary analysis from the ROLO longitudinal birth cohort study. Pediatr Obes 2023; 18:e12976. [PMID: 36102219 PMCID: PMC10078394 DOI: 10.1111/ijpo.12976] [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] [Received: 05/14/2022] [Revised: 08/09/2022] [Accepted: 08/15/2022] [Indexed: 01/09/2023]
Abstract
OBJECTIVE To examine the association between maternal metabolic parameters in pregnancy and growth trajectories up to 5 years of age. METHODS Data from mother-child pairs who participated in the ROLO study, a randomized trial examining the impact of a low glycaemic index diet on the recurrence of macrosomia, were analysed. Fetal and child growth trajectories were developed from longitudinal measurements from 20 weeks gestation up to 5 years of age. We examined associations between maternal fasting glucose, insulin, HOMA-IR and leptin, taken in early pregnancy (14-16 weeks) and late pregnancy (28 weeks), and weight (kg) and abdominal circumference (cm) trajectories using linear spline multilevel models. RESULTS We found no strong evidence of associations between any maternal metabolic parameters and fetal to childhood weight and abdominal circumference trajectories from 20 weeks gestation to 5 years. CONCLUSION In a cohort of women with obesity with infants at risk of macrosomia, maternal metabolic markers were not strongly associated with trajectories of weight or abdominal circumference from 20 weeks gestation to 5 years of age.
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Affiliation(s)
- Helena C Bartels
- UCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, Dublin, Ireland
| | - Linda M O'Keeffe
- School of Public Health, University College Cork, Cork, Ireland.,MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK.,Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Cara A Yelverton
- UCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, Dublin, Ireland
| | - Kate N O'Neill
- School of Public Health, University College Cork, Cork, Ireland
| | - Aisling A Geraghty
- UCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, Dublin, Ireland
| | - Eileen C O'Brien
- UCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, Dublin, Ireland
| | - Sarah Louise Killeen
- UCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, Dublin, Ireland
| | - Ciara McDonnell
- UCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, Dublin, Ireland.,Department of Pediatric Endocrinology & Diabetes, Children's Health Ireland, Temple Street Hospital, Dublin, Ireland
| | - Fionnuala M McAuliffe
- UCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, Dublin, Ireland
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