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Cao R, Ye W, Liu J, Chen L, Li Z, Ji H, Zhou N, Zhu Q, Sun W, Ni C, Shi L, Zhou Y, Wu Y, Song W, Liu P. Dynamic influence of maternal education on height among Chinese children aged 0-18 years. SSM Popul Health 2024; 26:101672. [PMID: 38708407 PMCID: PMC11066550 DOI: 10.1016/j.ssmph.2024.101672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Revised: 03/25/2024] [Accepted: 04/20/2024] [Indexed: 05/07/2024] Open
Abstract
Background Maternal education is one of key factors affecting nurturing environment which significantly impacts children's height levels throughout their developmental stages. However, the influence of maternal education on children's height is less studied. This study aims to investigate the dynamic influence of maternal education on children's height among Chinese children aged 0-18 years. Methods Children undergoing health examinations from January 2021 to September 2023 were included in this study. Clinical information including height, weight, maternal pregnancy history, blood specimens for bone metabolism-related indicators and maternal education level was collected. Children's height was categorized into 14 groups based on age and gender percentiles, following WHO 2006 growth standards. One-way analysis of variance (ANOVA), linear regression, chi-square test and Fisher's exact test were applied for data analysis. Results A total of 6269 samples were collected, including 3654 males and 2615 females, with an average age of 8.38 (3.97) for males and 7.89 (3.55) for females. Significant correlations between maternal education level, birth weight, birth order, weight percentile, vitamin D, serum phosphorus, alkaline phosphatase levels, and children's height were identified. Birth weight's influence on height varied across age groups. Compared with normal birth weight children, low birth weight children exhibited catch-up growth within the first 6 years and a subsequent gradual widening of the height gap from 6 to 18 years old. Remarkably, the impact of maternal education on height became more pronounced among children above 3-6 years old, which can mitigate the effect of low birth weight on height. Conclusion We found that weight percentile, birth weight, birth order, bone marker levels, and maternal education level have significant effect on height. Maternal education attenuates the impact of low birth weight on height. The findings indicated that maternal education plays a consistent and critical role in promoting robust and healthy growth.
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Affiliation(s)
- Ruixue Cao
- Department of Pediatrics, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, 109 Xueyuan West Road, Lucheng District, Wenzhou, Zhejiang Province, 325035, China
- Institute of Aging, Key Laboratory of Alzheimer's Disease of Zhejiang Province, Zhejiang Provincial Clinical Research Center for Mental Disorders, School of Mental Health and the Affiliated Kangning Hospital, North Building of Biological Research, Wenzhou Medical University, Chashan Higher Education Park, Ouhai District, Wenzhou, Zhejiang, 325035, China
| | - Wenjing Ye
- Department of Pediatrics, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, 109 Xueyuan West Road, Lucheng District, Wenzhou, Zhejiang Province, 325035, China
| | - Jinrong Liu
- Department of Pediatrics, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, 109 Xueyuan West Road, Lucheng District, Wenzhou, Zhejiang Province, 325035, China
- Institute of Aging, Key Laboratory of Alzheimer's Disease of Zhejiang Province, Zhejiang Provincial Clinical Research Center for Mental Disorders, School of Mental Health and the Affiliated Kangning Hospital, North Building of Biological Research, Wenzhou Medical University, Chashan Higher Education Park, Ouhai District, Wenzhou, Zhejiang, 325035, China
| | - Lili Chen
- Department of Pediatrics, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, 109 Xueyuan West Road, Lucheng District, Wenzhou, Zhejiang Province, 325035, China
| | - Zhe Li
- Department of Pediatrics, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, 109 Xueyuan West Road, Lucheng District, Wenzhou, Zhejiang Province, 325035, China
| | - Hanshu Ji
- Department of Pediatrics, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, 109 Xueyuan West Road, Lucheng District, Wenzhou, Zhejiang Province, 325035, China
| | - Nianjiao Zhou
- Institute of Aging, Key Laboratory of Alzheimer's Disease of Zhejiang Province, Zhejiang Provincial Clinical Research Center for Mental Disorders, School of Mental Health and the Affiliated Kangning Hospital, North Building of Biological Research, Wenzhou Medical University, Chashan Higher Education Park, Ouhai District, Wenzhou, Zhejiang, 325035, China
| | - Qin Zhu
- Institute of Aging, Key Laboratory of Alzheimer's Disease of Zhejiang Province, Zhejiang Provincial Clinical Research Center for Mental Disorders, School of Mental Health and the Affiliated Kangning Hospital, North Building of Biological Research, Wenzhou Medical University, Chashan Higher Education Park, Ouhai District, Wenzhou, Zhejiang, 325035, China
| | - Wenshuang Sun
- Institute of Aging, Key Laboratory of Alzheimer's Disease of Zhejiang Province, Zhejiang Provincial Clinical Research Center for Mental Disorders, School of Mental Health and the Affiliated Kangning Hospital, North Building of Biological Research, Wenzhou Medical University, Chashan Higher Education Park, Ouhai District, Wenzhou, Zhejiang, 325035, China
| | - Chao Ni
- Institute of Aging, Key Laboratory of Alzheimer's Disease of Zhejiang Province, Zhejiang Provincial Clinical Research Center for Mental Disorders, School of Mental Health and the Affiliated Kangning Hospital, North Building of Biological Research, Wenzhou Medical University, Chashan Higher Education Park, Ouhai District, Wenzhou, Zhejiang, 325035, China
| | - Linwei Shi
- Department of Pediatrics, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, 109 Xueyuan West Road, Lucheng District, Wenzhou, Zhejiang Province, 325035, China
| | - Yonghai Zhou
- Department of Pediatrics, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, 109 Xueyuan West Road, Lucheng District, Wenzhou, Zhejiang Province, 325035, China
| | - Yili Wu
- Institute of Aging, Key Laboratory of Alzheimer's Disease of Zhejiang Province, Zhejiang Provincial Clinical Research Center for Mental Disorders, School of Mental Health and the Affiliated Kangning Hospital, North Building of Biological Research, Wenzhou Medical University, Chashan Higher Education Park, Ouhai District, Wenzhou, Zhejiang, 325035, China
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), 999 Jinshi Road, Yongzhong Street, Longwan District, Wenzhou, Zhejiang Province, 325035, China
| | - Weihong Song
- Department of Pediatrics, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, 109 Xueyuan West Road, Lucheng District, Wenzhou, Zhejiang Province, 325035, China
- Institute of Aging, Key Laboratory of Alzheimer's Disease of Zhejiang Province, Zhejiang Provincial Clinical Research Center for Mental Disorders, School of Mental Health and the Affiliated Kangning Hospital, North Building of Biological Research, Wenzhou Medical University, Chashan Higher Education Park, Ouhai District, Wenzhou, Zhejiang, 325035, China
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), 999 Jinshi Road, Yongzhong Street, Longwan District, Wenzhou, Zhejiang Province, 325035, China
| | - Peining Liu
- Department of Pediatrics, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, 109 Xueyuan West Road, Lucheng District, Wenzhou, Zhejiang Province, 325035, China
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Jia L, Zhang Z, Li R, Zha J, Fang P, He H, Wan Y. Maternal parenting stress and social-emotional problems of Chinese preschoolers: The role of the mother-child relationship and maternal adverse childhood experiences. J Affect Disord 2024; 350:188-196. [PMID: 38220112 DOI: 10.1016/j.jad.2024.01.110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 12/08/2023] [Accepted: 01/09/2024] [Indexed: 01/16/2024]
Abstract
BACKGROUND Previous research suggests that maternal parenting stress is a significant predictor of social-emotional problems in children. However, little is known regarding the mother-child relationship and the effect of maternal adverse childhood experiences (ACEs) on this association. METHODS Three waves of longitudinal panel data were collected from 2893 Chinese preschoolers with a follow-up interval of 6 months. The mothers of preschoolers were asked to complete anonymous questionnaires concerning demographic variables, maternal ACEs and parenting stress in Wave 1, mother-child relationships in Wave 2, and children's social-emotional problems in Wave 3. The parallel mediation model was conducted to analyze the mediating role of three dimensions of mother-child relationships, and the moderation model was conducted to examine the moderating role of maternal ACEs. RESULTS The results showed that maternal parenting stress predicted children's social-emotional problems directly or indirectly through the mother-child relationship, with an intimate mother-child relationship mediating this main effect negatively but a conflicted and dependent mother-child relationship mediating this main effect positively. In addition, moderating results indicated that the main effect of maternal parenting stress on children's social-emotional problems was more marked among participants with at least one maternal ACEs than those without maternal ACEs. Furthermore, the moderating effect was only detected in children whose mothers had a high school education or less. LIMITATIONS The subjectivity of mothers' reports may somewhat reduce the credibility due to the possible overestimation or underestimation of children's social-emotional problems. CONCLUSION These findings provide new evidence for the effects of maternal parenting stress on children's social-emotional development and highlight the need for more attention to children with mothers having ACE exposure, lower educational level and poor parent-child relationships.
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Affiliation(s)
- Liyuan Jia
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Anhui, China; Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui, China
| | - Zhixian Zhang
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Anhui, China; Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui, China
| | - Ruoyu Li
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Anhui, China; Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui, China
| | - Jinhong Zha
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Anhui, China; Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui, China
| | - Peifei Fang
- Department of Physiology, Anhui Medical College, Anhui, China
| | - Haiyan He
- Wuhu Maternal and Child Health and Family Planning Service Center, Wuhu, China.
| | - Yuhui Wan
- Teaching Center for Preventive Medicine, School of Public Health, Anhui Medical University, Anhui, China.
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Li S, Mohamed Nor N, Kaliappan SR. Do maternal socioeconomic status influence child overweight? Heliyon 2024; 10:e24630. [PMID: 38304776 PMCID: PMC10831769 DOI: 10.1016/j.heliyon.2024.e24630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 12/21/2023] [Accepted: 01/11/2024] [Indexed: 02/03/2024] Open
Abstract
The prevalence of overweight among Chinese children under 5 years of age has been increasing steadily. Using data from China Health and Nutrition Survey (CHNS) spanning from 1991 to 2015, this study investigates the relationship between maternal employment status, maternal education level, and the prevalence of child overweight among Chinese children under 5 years old. The findings indicate that having mothers with low middle school education significantly reduces their children's body mass index z-scores (BMIZ) (p < 0.05). However, no significant association is observed between maternal education level and childhood overweight in urban areas. In rural areas, only when the maternal education level is college or above, there is a significant increase in BMIZ (p < 0.01). The impact of maternal education level on childhood obesity is influenced by household per capita income, and when household per capita income reaches a certain level, higher maternal education is negatively associated with child BMIZ. The study also reveals a significant negative association between maternal employment (p < 0.01),average weekly working days (p < 0.01), and the BMIZ of children under 5 years of age, while the interaction effect between them is positive and significant. This study has recommended some policy interventions, by promoting parental education on child feeding and parenting, providing professional child care, and offering financial subsidies to families with children under 5.
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Affiliation(s)
- Sa Li
- School of Business and Economics, Universiti Putra Malaysia, 43400, UPM, Serdang, Selangor, Malaysia
- School of Business, Zhengzhou College of Finance and Economics, Zhengzhou, 450000, China
| | - Norashidah Mohamed Nor
- School of Business and Economics, Universiti Putra Malaysia, 43400, UPM, Serdang, Selangor, Malaysia
| | - Shivee Ranjanee Kaliappan
- School of Business and Economics, Universiti Putra Malaysia, 43400, UPM, Serdang, Selangor, Malaysia
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Pelaez JM, Rojas-Ramos JCR, Domingos MT, de Lima MR, Kraemer GDC, Cardoso-Demartini ADA, Pereira RM, de Lacerda L, Nesi-França S. Cognitive outcome of 458 children over 25 years of neonatal screening for congenital hypothyroidism. J Pediatr (Rio J) 2023; 99:478-484. [PMID: 37088106 PMCID: PMC10492150 DOI: 10.1016/j.jped.2023.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 03/19/2023] [Accepted: 03/29/2023] [Indexed: 04/25/2023] Open
Abstract
OBJECTIVES To describe the neurocognitive profile of 458 children with congenital hypothyroidism detected by neonatal screening, followed under the same treatment protocol over 25 years. To correlate estimated full-scale IQ (FSIQ) scores with age at the start of treatment, disease severity, and maternal education. METHODS Observational, analytical, retrospective, and longitudinal cohort study, that evaluated children detected between 1991 and 2014, who underwent at least one psychometric assessment (WPPSI- R and/or WISC-III). Estimated FSIQ scores are described and correlated with prognosis determinants. RESULTS Median T4 at diagnosis was 2.8 μg/dL (0.0-16.5), the median age at the start of treatment was 18.5 days (3-309). Maternal education (n = 445): 2.7% of illiteracy, 59.8% with basic education. Estimated FSIQ scores were 88.0 (±11.8) in WPPSI-R (age 5.6 ± 0.5 years) and 84.1 (±13.0) in WISC-III (age 9.1 ± 1.4 years). The intellectual deficit was identified in 11.6%. Correlation between age at the start of treatment and estimated FSIQ was found only in the WPPSI-R test (p = 0.02). Initial T4 and maternal education significantly correlated with estimated FSIQ scores in both tests, with the latter being the most important determining factor. CONCLUSIONS In this large cohort of mainly low socioeconomic status children, most children achieved normal cognitive levels; however, a significant percentage presented with below-average estimated FSIQ scores and intellectual deficits. Maternal education was the main determining factor in cognitive level followed by hypothyroidism severity.
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Affiliation(s)
| | - Juliana Cristina Romero Rojas-Ramos
- Fundação Ecumênica de Proteção ao Excepcional (FEPE), Curitiba, PR, Brazil; Unidade de Endocrinologia Pediátrica (UEP), Complexo Hospital de Clínicas da Universidade Federal do Paraná (CHC - UFPR), Curitiba, PR, Brazil
| | | | | | - Gabriela de Carvalho Kraemer
- Fundação Ecumênica de Proteção ao Excepcional (FEPE), Curitiba, PR, Brazil; Unidade de Endocrinologia Pediátrica (UEP), Complexo Hospital de Clínicas da Universidade Federal do Paraná (CHC - UFPR), Curitiba, PR, Brazil
| | - Adriane de Andre Cardoso-Demartini
- Unidade de Endocrinologia Pediátrica (UEP), Complexo Hospital de Clínicas da Universidade Federal do Paraná (CHC - UFPR), Curitiba, PR, Brazil
| | - Rosana Marques Pereira
- Unidade de Endocrinologia Pediátrica (UEP), Complexo Hospital de Clínicas da Universidade Federal do Paraná (CHC - UFPR), Curitiba, PR, Brazil
| | - Luiz de Lacerda
- Unidade de Endocrinologia Pediátrica (UEP), Complexo Hospital de Clínicas da Universidade Federal do Paraná (CHC - UFPR), Curitiba, PR, Brazil
| | - Suzana Nesi-França
- Unidade de Endocrinologia Pediátrica (UEP), Complexo Hospital de Clínicas da Universidade Federal do Paraná (CHC - UFPR), Curitiba, PR, Brazil.
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de Araújo Veras AAC, da Fonseca Lima EJ, Caminha MDFC, da Silva SL, de Castro AAM, Bernardo ALB, Ventura MLAB, de Lira PIC, Batista Filho M. Vaccine uptake and associated factors in an irregular urban settlement in northeastern Brazil: a cross-sectional study. BMC Public Health 2020; 20:1152. [PMID: 32698826 PMCID: PMC7376909 DOI: 10.1186/s12889-020-09247-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2019] [Accepted: 07/12/2020] [Indexed: 11/11/2022] Open
Abstract
Background Globally, childhood immunization saves the lives of 2–3 million children annually by protecting them against vaccine-preventable diseases. In 2017, 116.2 million children were vaccinated worldwide according to the World Health Organization. Nevertheless, figures suggest that 19.5 million children around the world fail to receive the benefits of complete immunization. Methods This cross-sectional study analyzed vaccine uptake and the factors associated with incomplete vaccination schedule in children of up to 36 months of age assisted by the family health strategy in an irregular settlement located in a state capital city in northeastern Brazil. This study was nested within a larger study entitled “Health, nutrition and healthcare services in an urban slum population in Recife, Pernambuco”, conducted in 2015. A census included 309 children, with vaccination data obtained, exclusively, from their vaccination cards records. An ad hoc database was constructed with variables of interest. Absolute and relative values were calculated for the socioeconomic, demographic, obstetric and biological data. To identify possible factors associated with incomplete vaccination schedule, crude and multivariable Poisson regression analyses were performed, and conducted in accordance with the forward selection method with robust variance and the adjusted prevalence ratio was calculated with the 95% CI. Variables with p-values < 0.20 in the unadjusted stage were included in the multivariable analysis. The statistical significance of each variable was evaluated using the Wald test, with p-values < 0.05. Results Just half of the children (52,1%) was classified as complete vaccination schedule. In the final model, the factors associated with incomplete vaccination schedule were age 12–36 months and the mother who did not complete high school. Conclusion The percentage of vaccine uptake found was far below the recommendation of the National Childhood Immunization Schedule and was associated with child’s age and mother’s education level. Based on these findings, the family healthcare teams may elaborate vaccination strategies aimed at reaching the coverage rates established by the national immunization program. Optimizing coverage will ultimately prevent the resurgence, at epidemic level, of infectious diseases that are already under control in this country.
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Affiliation(s)
- Ana Amélia Corrêa de Araújo Veras
- Instituto de Medicina Integral Professor Fernando Figueira, Rua dos Coelhos, 300 - Boa Vista, Recife - PE. CEP, Recife, Pernambuco, 50070-902, Brazil.
| | - Eduardo Jorge da Fonseca Lima
- Instituto de Medicina Integral Professor Fernando Figueira, Rua dos Coelhos, 300 - Boa Vista, Recife - PE. CEP, Recife, Pernambuco, 50070-902, Brazil.,Faculdade Pernambucana de Saúde, Avenida Mal, Avenida Mal. Mascarenhas de Morais, 4861 - Imbiribeira, Recife-PE. CEP, Recife, Pernambuco, 51150-000, Brazil
| | - Maria de Fátima Costa Caminha
- Instituto de Medicina Integral Professor Fernando Figueira, Rua dos Coelhos, 300 - Boa Vista, Recife - PE. CEP, Recife, Pernambuco, 50070-902, Brazil.,Faculdade Pernambucana de Saúde, Avenida Mal, Avenida Mal. Mascarenhas de Morais, 4861 - Imbiribeira, Recife-PE. CEP, Recife, Pernambuco, 51150-000, Brazil
| | - Suzana Lins da Silva
- Instituto de Medicina Integral Professor Fernando Figueira, Rua dos Coelhos, 300 - Boa Vista, Recife - PE. CEP, Recife, Pernambuco, 50070-902, Brazil.,Faculdade Pernambucana de Saúde, Avenida Mal, Avenida Mal. Mascarenhas de Morais, 4861 - Imbiribeira, Recife-PE. CEP, Recife, Pernambuco, 51150-000, Brazil
| | - Amanda Alves Moreira de Castro
- Faculdade Pernambucana de Saúde, Avenida Mal, Avenida Mal. Mascarenhas de Morais, 4861 - Imbiribeira, Recife-PE. CEP, Recife, Pernambuco, 51150-000, Brazil
| | - Andressa Lílian Bezerra Bernardo
- Faculdade Pernambucana de Saúde, Avenida Mal, Avenida Mal. Mascarenhas de Morais, 4861 - Imbiribeira, Recife-PE. CEP, Recife, Pernambuco, 51150-000, Brazil
| | - Maria Lídia Amaral Barbosa Ventura
- Faculdade Pernambucana de Saúde, Avenida Mal, Avenida Mal. Mascarenhas de Morais, 4861 - Imbiribeira, Recife-PE. CEP, Recife, Pernambuco, 51150-000, Brazil
| | - Pedro Israel Cabral de Lira
- Universidade Federal de Pernambuco, Av. Prof. Moraes Rego, 1235 - Cidade Universitária, Recife - PE, Recife, Pernambuco, 50670-901, Brazil
| | - Malaquias Batista Filho
- Instituto de Medicina Integral Professor Fernando Figueira, Rua dos Coelhos, 300 - Boa Vista, Recife - PE. CEP, Recife, Pernambuco, 50070-902, Brazil
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