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Xu T, Dong C, Shao J, Huo C, Chen Z, Shi Z, Yao T, Gu C, Wei W, Rui D, Li X, Hu Y, Ma J, Niu Q, Yan Y. Global burden of maternal disorders attributable to malnutrition from 1990 to 2019 and predictions to 2035: worsening or improving? Front Nutr 2024; 11:1343772. [PMID: 38425484 PMCID: PMC10902107 DOI: 10.3389/fnut.2024.1343772] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Accepted: 01/30/2024] [Indexed: 03/02/2024] Open
Abstract
Background and aims Maternal malnutrition is a major global public health problem that can lead to serious maternal diseases. This study aimed to analyze and predict the spatio-temporal trends in the burden of maternal disorders attributable to malnutrition, and to provide a basis for scientific improvement of maternal malnutrition and targeted prevention of maternal disorders. Methods Data on maternal disorders attributable to malnutrition, including number of deaths, disability-adjusted life years (DALYs), population attributable fractions (PAFs), age-standardized mortality rates (ASMRs), and age-standardized DALY rates (ASDRs) were obtained from the Global Burden of Disease Study 2019 to describe their epidemiological characteristics by age, region, year, and type of disease. A log-linear regression model was used to calculate the annual percentage change (AAPC) of ASMR or ASDR to reflect their temporal trends. Bayesian age-period-cohort model was used to predict the number of deaths and mortality rates to 2035. Results Global number of deaths and DALYs for maternal disorders attributable to malnutrition declined by 42.35 and 41.61% from 1990 to 2019, with an AAPC of -3.09 (95% CI: -3.31, -2.88) and -2.98 (95% CI: -3.20, -2.77) for ASMR and ASDR, respectively. The burden was higher among younger pregnant women (20-29 years) in low and low-middle socio-demographic index (SDI) regions, whereas it was higher among older pregnant women (30-39 years) in high SDI region. Both ASMR and ASDR showed a significant decreasing trend with increasing SDI. Maternal hemorrhage had the highest burden of all diseases. Global deaths are predicted to decline from 42,350 in 2019 to 38,461 in 2035, with the ASMR declining from 1.08 (95% UI: 0.38, 1.79) to 0.89 (95% UI: 0.47, 1.31). Conclusion Maternal malnutrition is improving globally, but in the context of the global food crisis, attention needs to be paid to malnutrition in low SDI regions, especially among young pregnant women, and corresponding measures need to be taken to effectively reduce the burden of disease.
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Affiliation(s)
- Tongtong Xu
- Department of Preventive Medicine, School of Medicine, Shihezi University, Shihezi, Xinjiang, China
| | - Chenxian Dong
- Department of Preventive Medicine, School of Medicine, Shihezi University, Shihezi, Xinjiang, China
| | - Jianjiang Shao
- Department of Preventive Medicine, School of Medicine, Shihezi University, Shihezi, Xinjiang, China
| | - Chaojing Huo
- Department of Preventive Medicine, School of Medicine, Shihezi University, Shihezi, Xinjiang, China
| | - Zuhai Chen
- Department of Preventive Medicine, School of Medicine, Shihezi University, Shihezi, Xinjiang, China
| | - Zhengyang Shi
- Department of Preventive Medicine, School of Medicine, Shihezi University, Shihezi, Xinjiang, China
| | - Teng Yao
- Department of Preventive Medicine, School of Medicine, Shihezi University, Shihezi, Xinjiang, China
| | - Chenyang Gu
- Department of Preventive Medicine, School of Medicine, Shihezi University, Shihezi, Xinjiang, China
| | - Wanting Wei
- Department of Preventive Medicine, School of Medicine, Shihezi University, Shihezi, Xinjiang, China
| | - Dongsheng Rui
- Department of Preventive Medicine, School of Medicine, Shihezi University, Shihezi, Xinjiang, China
- Key Laboratory for Prevention and Control of Emerging Infectious Diseases and Public Health Security, The Xinjiang Production and Construction Corps, Shihezi, Xinjiang, China
- Key Laboratory of Preventive Medicine, Shihezi University, Shihezi, Xinjiang, China
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases (Ministry of Education), School of Medicine, Shihezi University, Xinjiang, Shihezi, China
| | - Xiaoju Li
- Department of Preventive Medicine, School of Medicine, Shihezi University, Shihezi, Xinjiang, China
- Key Laboratory for Prevention and Control of Emerging Infectious Diseases and Public Health Security, The Xinjiang Production and Construction Corps, Shihezi, Xinjiang, China
- Key Laboratory of Preventive Medicine, Shihezi University, Shihezi, Xinjiang, China
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases (Ministry of Education), School of Medicine, Shihezi University, Xinjiang, Shihezi, China
| | - Yunhua Hu
- Department of Preventive Medicine, School of Medicine, Shihezi University, Shihezi, Xinjiang, China
- Key Laboratory for Prevention and Control of Emerging Infectious Diseases and Public Health Security, The Xinjiang Production and Construction Corps, Shihezi, Xinjiang, China
- Key Laboratory of Preventive Medicine, Shihezi University, Shihezi, Xinjiang, China
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases (Ministry of Education), School of Medicine, Shihezi University, Xinjiang, Shihezi, China
| | - Jiaolong Ma
- Department of Preventive Medicine, School of Medicine, Shihezi University, Shihezi, Xinjiang, China
- Key Laboratory for Prevention and Control of Emerging Infectious Diseases and Public Health Security, The Xinjiang Production and Construction Corps, Shihezi, Xinjiang, China
- Key Laboratory of Preventive Medicine, Shihezi University, Shihezi, Xinjiang, China
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases (Ministry of Education), School of Medicine, Shihezi University, Xinjiang, Shihezi, China
| | - Qiang Niu
- Department of Preventive Medicine, School of Medicine, Shihezi University, Shihezi, Xinjiang, China
- Key Laboratory for Prevention and Control of Emerging Infectious Diseases and Public Health Security, The Xinjiang Production and Construction Corps, Shihezi, Xinjiang, China
- Key Laboratory of Preventive Medicine, Shihezi University, Shihezi, Xinjiang, China
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases (Ministry of Education), School of Medicine, Shihezi University, Xinjiang, Shihezi, China
| | - Yizhong Yan
- Department of Preventive Medicine, School of Medicine, Shihezi University, Shihezi, Xinjiang, China
- Key Laboratory for Prevention and Control of Emerging Infectious Diseases and Public Health Security, The Xinjiang Production and Construction Corps, Shihezi, Xinjiang, China
- Key Laboratory of Preventive Medicine, Shihezi University, Shihezi, Xinjiang, China
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases (Ministry of Education), School of Medicine, Shihezi University, Xinjiang, Shihezi, China
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Li S, Mohamed Nor N, Kaliappan SR. Social determinants of child malnutrition outcomes: Evidence from CHNS in China. Heliyon 2024; 10:e23887. [PMID: 38187311 PMCID: PMC10767191 DOI: 10.1016/j.heliyon.2023.e23887] [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: 10/14/2023] [Revised: 12/13/2023] [Accepted: 12/14/2023] [Indexed: 01/09/2024] Open
Abstract
China is committed to reduce child malnutrition outcomes (CMO) rates to less than 5 % by 2030 in order to meet the Sustainable Development Goal (SDG). Yet, this is still an enormous challenge for China, particularly in disadvantaged areas, due to regional and urban-rural disparities. Using China Health and Nutrition Survey (CHNS) data from 1991 to 2015 and fixed-effect models, this study investigates the social determinants of stunting (n = 4012) measured by height-for-age z score (HAZ) and wasting (n = 4229) measured by weight-for-height z score (WHZ) in children under the age of five. According to the empirical findings, the significant social determinants of child stunting encompassed whether the child is insured (p < 0.01), maternal education level (primary school (p < 0.01) low middle school (p < 0.01); vocational school (p < 0.01)), maternal employment status (p < 0.05), mother's average working days (p < 0.05), average household per capita income (p < 0.01), household asset index (p < 0.01), urbanization index living in a community (medium (p < 0.05); higher (p < 0.01); highest (p < 0.01)) and living regions (west (p < 0.01); northeast (p < 0.05)). Children's maternal employment status (p < 0.05), mother's average working days (p < 0.05), living areas (p < 0.05) and living regions (central (p < 0.01); west (p < 0.01); north-east (p < 0.05)) are the significant factors impacting child wasting. Furthermore, the interaction impact between maternal employment and have one additional working day per week is positive. To attain SDGs, the Chinese government should priorities lowering stunting and wasting among 5-year-olds in the western region, particularly in impoverished regions. Also, it is possible to develop tailored policies for the growth and development of children under the age of five by addressing pertinent socio-economic factors.
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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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Chen L, Ma J, Su G, Yin L, Jiang X, Wang X, Liu L, Zhang X, Xu X, Li S, Zhang G, Zhao R, Yu L. The dynamic nexus: exploring the interplay of BMI before, during, and after pregnancy with Metabolic Syndrome (MetS) risk in Chinese lactating women. BMC Public Health 2023; 23:2423. [PMID: 38053120 PMCID: PMC10699078 DOI: 10.1186/s12889-023-17344-6] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 11/27/2023] [Indexed: 12/07/2023] Open
Abstract
BACKGROUND AND AIM The health implications of BMI and MetS in lactating women are significant. This study aims to investigate the relationship between risk of Mets in lactation and BMI in four stages: pre-pregnancy, prenatal period, 42 days postpartum, and current lactation. METHODS AND RESULTS A total of 1870 Lactating Women within 2 years after delivery were included from "China Child and Lactating Mother Nutrition Health Surveillance (2016-2017)". Logistic regression model and Restricted cubic spline (RCS) were used to estimate the relationship between BMI and risk of MetS. ROC analysis was used to determine the threshold for the risk of MetS. Chain mediating effect analysis was used to verify the mediating effect. BMI of MetS group in all stages were higher than non-MetS group (P < 0.0001). There were significant positive correlations between BMI in each stage and ORs of MetS during lactation (P < 0.05). The best cut-off values for BMI in the four stages were 23.47, 30.49, 26.04 and 25.47 kg/m2. The non-linear spline test at BMI in 42 days postpartum, current and MetS in lactation was statistically significant (P non-linear = 0.0223, 0.0003). The mediation effect of all chains have to work through lactation BMI. The total indirect effect accounted for 80.95% of the total effect. CONCLUSIONS The risk of MetS in lactating women is due to a high BMI base before pregnancy and postpartum. High BMI in all stages of pregnancy and postpartum were risk factors for MetS in lactation. BMI during lactation plays a key role in the risk of MetS.
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Affiliation(s)
- Liangxia Chen
- Shandong Center for Disease Control and Prevention, Ji'nan, Shandong, China
| | - Jie Ma
- Shandong Center for Disease Control and Prevention, Ji'nan, Shandong, China
| | - Guanmin Su
- Shandong Center for Disease Control and Prevention, Ji'nan, Shandong, China
| | - Longlong Yin
- Shandong Center for Disease Control and Prevention, Ji'nan, Shandong, China
| | - Xiuyu Jiang
- Health Management Center, Central Hospital Affiliated to Shandong First Medical University, Ji'nan, Shandong, China
| | - Xiangxiang Wang
- Department of Gynecology, Central Hospital Affiliated to Shandong First Medical University, Ji'nan, Shandong, China
| | - Lele Liu
- Department of Gynecology, Central Hospital Affiliated to Shandong First Medical University, Ji'nan, Shandong, China
| | - Xiaofei Zhang
- Shandong Center for Disease Control and Prevention, Ji'nan, Shandong, China
| | - Xiaohui Xu
- Shandong Center for Disease Control and Prevention, Ji'nan, Shandong, China
| | - Suyun Li
- Shandong Center for Disease Control and Prevention, Ji'nan, Shandong, China
| | - Gaohui Zhang
- Shandong Center for Disease Control and Prevention, Ji'nan, Shandong, China
| | - Ran Zhao
- Shandong Center for Disease Control and Prevention, Ji'nan, Shandong, China.
| | - Lianlong Yu
- Shandong Center for Disease Control and Prevention, Ji'nan, Shandong, China.
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Yang Y, Shi L, Jin X, Tong S. Association of perinatal factors with suspected developmental delay in urban children aged 1-36 months - a large-scale cross-sectional study in China. BMC Pediatr 2023; 23:11. [PMID: 36604702 DOI: 10.1186/s12887-022-03819-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 12/23/2022] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Studies on perinatal risk factors and the developmental delay of children have been inconclusive and few studies have assessed the association between infants and toddlers' body mass index (BMI) and developmental outcomes. METHODS We conducted a cross-sectional study of children aged 1-36 months who had a routine physical examination in the child health departments of hospitals from March 2018 to November 2021 in 16 provinces, 4 autonomous regions and 2 municipalities directly under the central government by using the Infant Toddler Growth Development Screening Test (ITGDST). Normal children were defined as those with scores ≥ mean - 2 standard deviations (SD), while children with developmental delay were those with scores < mean-2SD in terms of overall development, gross motor, fine motor and language development. Binary logistic regression was used to analyze the risk factors of gross motor, fine motor, language and overall neurodevelopment. RESULTS After removing some provinces with a small sample size and children with incomplete data, 178,235 children with 12 complete variables were included in the final analysis. The rate of overall developmental delay was 4.5%, while 12.5% of children had at least one developmental delay aspect. Boys, parity, advanced maternal age, multiple birth, cesarean section, neonatal injury, family heredity history, microcephaly, abnormal BMI at birth and at physical examination after controlling the confounding of other factors had a significant effect on development delay (overall neurodevelopment, gross motor, fine motor or language development). Per capita gross domestic product was a protective factor for the children's neuropsychological development. CONCLUSIONS This study reveals significant associations of perinatal factors and BMI with developmental delay in the Chinese children aged 1-36 months, which may be crucial for early intervention.
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Wu Y, Yang Y, Xiao X, Wang L, Yin Z, Li Y. The Pattern of Vitamin D Levels in Children 0-4 Years of Age in Yunnan Province. J Trop Pediatr 2021; 67:6429952. [PMID: 34791470 DOI: 10.1093/tropej/fmab093] [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] [Indexed: 11/15/2022]
Abstract
OBJECTIVE Vitamin D is an essential nutrient that regulates the activity of calcium and bone hormones throughout life; however, vitamin D levels in children, which is the most crucial period during human development, has not been established. METHODS As the first descriptive study of serum vitamin D levels in children in Yunnan Province, we determined the serum vitamin D levels in children 0‒4 years of age who underwent physical examinations at Kunming Children's Hospital, and the association between the serum vitamin D level and the calcium, phosphorus and alkaline levels. RESULTS Vitamin D levels in children were highest in the summer months and lowest in the winter months. Vitamin D deficiency was more common in girls than boys. A social-economic effect was shown, as evidenced by the significantly higher serum vitamin D levels in children from the top five cities compared with the lower-ranked cities. Moreover, we also demonstrated a significant correlation between vitamin D and serum calcium levels. CONCLUSION Our study suggested that sex and age affected the vitamin D levels of children, and a reasonable reference range in children 0-4 years of age in Yunnan Province was determined.
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Affiliation(s)
- Yuqin Wu
- Special Ward, Kunming Children's Hospital, Kunming 650228, Yunnan Province, China
| | - Yanfei Yang
- Special Ward, Kunming Children's Hospital, Kunming 650228, Yunnan Province, China
| | - Xiao Xiao
- Special Ward, Kunming Children's Hospital, Kunming 650228, Yunnan Province, China
| | - Lin Wang
- Special Ward, Kunming Children's Hospital, Kunming 650228, Yunnan Province, China
| | - Zheng Yin
- Special Ward, Kunming Children's Hospital, Kunming 650228, Yunnan Province, China
| | - Yangfang Li
- Special Ward, Kunming Children's Hospital, Kunming 650228, Yunnan Province, China
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