Prevalence of Multimorbidity Among School-Aged Children in the Yangzhou District of China
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Design and Participants
2.2. Variable Definition
2.3. Statistical Analysis
3. Results
3.1. Description of the Participants
3.2. Prevalence of Diseases
3.3. Multimorbidity Patterns
3.4. Multimorbidity Analysis
3.5. Gender-Stratified Multimorbidity
3.6. Educational-Stage Multimorbidity
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
CDC | Centers for Disease Control and Prevention |
NHANES | National Health and Nutrition Examination Survey |
CHILD | Childhood Health, Air Pollution and Lung Development |
Elevated BP | Elevated Blood Pressure |
References
- Zhao, J.; Yu, Z.; Sun, X.; Wu, S.; Zhang, J.; Zhang, D.; Zhang, Y.; Jiang, F. Association between Screen Time Trajectory and Early Childhood Development in Children in China. JAMA Pediatr. 2022, 176, 768–775. [Google Scholar] [CrossRef] [PubMed]
- GEM Report UNESCO. Global Education Monitoring Report 2023: Technology in Education: A Tool on Whose Terms? 1st ed.; GEM Report UNESCO: Paris, France, 2023; ISBN 978-92-3-100609-8. [Google Scholar]
- Lee, A.; Lo, A.; Li, Q.; Keung, V.; Kwong, A. Health Promoting Schools: An Update. Appl. Health Econ. Health Policy 2020, 18, 605–623. [Google Scholar] [CrossRef] [PubMed]
- Smith, J.D.; Fu, E.; Kobayashi, M.A. Prevention and Management of Childhood Obesity and Its Psychological and Health Comorbidities. Annu. Rev. Clin. Psychol. 2020, 16, 351–378. [Google Scholar] [CrossRef] [PubMed]
- Nguyen, P.H.; Scott, S.; Headey, D.; Singh, N.; Tran, L.M.; Menon, P.; Ruel, M.T. The Double Burden of Malnutrition in India: Trends and Inequalities (2006–2016). PLoS ONE 2021, 16, e0247856. [Google Scholar] [CrossRef]
- Deshpande, S.; Sachdev, A.; Maharana, A.; Zadey, S.; Dharmadhikari, S.P.; Ghate, S.; Godatwar, P.; Ojha, N.K.; Sharma, S. Screen Use Time and Its Association with Mental Health Issues in Young Adults in India: Protocol for a Cross-Sectional Study. JMIR Res. Protoc. 2024, 13, e39707. [Google Scholar] [CrossRef]
- Kang, M.; Choi, S.Y.; Jung, M. Dietary Intake and Nutritional Status of Korean Children and Adolescents: A Review of National Survey Data. Clin. Exp. Pediatr. 2021, 64, 443–458. [Google Scholar] [CrossRef]
- Matsumura, S.; Dannoue, K.; Kawakami, M.; Uemura, K.; Kameyama, A.; Takei, A.; Hori, Y. Prevalence of Myopia and Its Associated Factors among Japanese Preschool Children. Front. Public. Health 2022, 10, 901480. [Google Scholar] [CrossRef]
- Zhu, Z.; Chen, Y.; Tan, Z.; Xiong, R.; McGuinness, M.B.; Müller, A. Interventions Recommended for Myopia Prevention and Control among Children and Adolescents in China: A Systematic Review. Br. J. Ophthalmol. 2023, 107, 160–166. [Google Scholar] [CrossRef]
- Zhang, H.; Zhou, H.; Tao, T. Bullying Behaviors and Psychosocial Adjustment among School-Aged Children in China. J. Interpers. Violence 2019, 34, 2363–2375. [Google Scholar] [CrossRef]
- Fu, X.; Meng, S.; Huang, X.; Li, W.; Ye, B.; Chen, S. The Prevalence of Scoliosis among Adolescents in China: A Systematic Review and Meta-Analysis. J. Orthop. Surg. Res. 2024, 19, 585. [Google Scholar] [CrossRef]
- Jonas, J.B.; Ang, M.; Cho, P.; Guggenheim, J.A.; He, M.G.; Jong, M.; Logan, N.S.; Liu, M.; Morgan, I.; Ohno-Matsui, K.; et al. IMI Prevention of Myopia and Its Progression. Invest. Ophthalmol. Vis. Sci. 2021, 62, 6. [Google Scholar] [CrossRef] [PubMed]
- Yip, W.; Fu, H.; Chen, A.T.; Zhai, T.; Jian, W.; Xu, R.; Pan, J.; Hu, M.; Zhou, Z.; Chen, Q.; et al. 10 Years of Health-Care Reform in China: Progress and Gaps in Universal Health Coverage. Lancet 2019, 394, 1192–1204. [Google Scholar] [CrossRef] [PubMed]
- An, R.; Yan, H.; Shi, X.; Yang, Y. Childhood Obesity and School Absenteeism: A Systematic Review and Meta-Analysis. Obes. Rev. 2017, 18, 1412–1424. [Google Scholar] [CrossRef] [PubMed]
- Paradis, A.D.; Koenen, K.C.; Fitzmaurice, G.M.; Buka, S.L. Impact of Persistent and Adolescent-Limited Antisocial Behaviour on Adult Health Outcomes. J. Epidemiol. Community Health 2016, 70, 1004–1010. [Google Scholar] [CrossRef]
- Bitsko, R.H.; Claussen, A.H.; Lichstein, J.; Black, L.I.; Jones, S.E.; Danielson, M.L.; Hoenig, J.M.; Davis Jack, S.P.; Brody, D.J.; Gyawali, S.; et al. Mental Health Surveillance among Children—United States, 2013–2019. MMWR Suppl. 2022, 71, 1–42. [Google Scholar] [CrossRef]
- Ruiz, B.; Broadbent, J.M.; Thomson, W.M.; Ramrakha, S.; Moffitt, T.E.; Caspi, A.; Poulton, R. Childhood Caries Is Associated with Poor Health and a Faster Pace of Aging by Midlife. J. Public. Health Dent. 2023, 83, 381–388. [Google Scholar] [CrossRef]
- Chaput, J.-P.; Willumsen, J.; Bull, F.; Chou, R.; Ekelund, U.; Firth, J.; Jago, R.; Ortega, F.B.; Katzmarzyk, P.T. 2020 WHO Guidelines on Physical Activity and Sedentary Behaviour for Children and Adolescents Aged 5-17 Years: Summary of the Evidence. Int. J. Behav. Nutr. Phys. Act. 2020, 17, 141. [Google Scholar] [CrossRef]
- Sonu, S.; Post, S.; Feinglass, J. Adverse Childhood Experiences and the Onset of Chronic Disease in Young Adulthood. Prev. Med. 2019, 123, 163–170. [Google Scholar] [CrossRef]
- Paulose-Ram, R.; Graber, J.E.; Woodwell, D.; Ahluwalia, N. The National Health and Nutrition Examination Survey (NHANES), 2021-2022: Adapting Data Collection in a COVID-19 Environment. Am. J. Public. Health 2021, 111, 2149–2156. [Google Scholar] [CrossRef]
- Althoff, M.D.; Ghincea, A.; Wood, L.G.; Holguin, F.; Sharma, S. Asthma and Three Colinear Comorbidities: Obesity, OSA, and GERD. J. Allergy Clin. Immunol. Pract. 2021, 9, 3877–3884. [Google Scholar] [CrossRef]
- de Figueiredo, C.S.; Sandre, P.C.; Portugal, L.C.L.; Mázala-de-Oliveira, T.; da Silva Chagas, L.; Raony, Í.; Ferreira, E.S.; Giestal-de-Araujo, E.; Dos Santos, A.A.; Bomfim, P.O. COVID-19 Pandemic Impact on Children and Adolescents’ Mental Health: Biological, Environmental, and Social Factors. Prog. Neuro-Psychopharmacol. Biol. Psychiatry 2021, 106, 110171. [Google Scholar] [CrossRef] [PubMed]
- Miethe, S.; Karsonova, A.; Karaulov, A.; Renz, H. Obesity and Asthma. J. Allergy Clin. Immunol. 2020, 146, 685–693. [Google Scholar] [CrossRef] [PubMed]
- Shen, A.; Bernabé, E.; Sabbah, W. Undernutrition Is Associated with Change in Severe Dental Caries. J. Public. Health Dent. 2020, 80, 236–243. [Google Scholar] [CrossRef]
- Barnett, K.; Mercer, S.W.; Norbury, M.; Watt, G.; Wyke, S.; Guthrie, B. Epidemiology of Multimorbidity and Implications for Health Care, Research, and Medical Education: A Cross-Sectional Study. Lancet 2012, 380, 37–43. [Google Scholar] [CrossRef] [PubMed]
- Kivimäki, M.; Strandberg, T.; Pentti, J.; Nyberg, S.T.; Frank, P.; Jokela, M.; Ervasti, J.; Suominen, S.B.; Vahtera, J.; Sipilä, P.N.; et al. Body-Mass Index and Risk of Obesity-Related Complex Multimorbidity: An Observational Multicohort Study. Lancet Diabetes Endocrinol. 2022, 10, 253–263. [Google Scholar] [CrossRef]
- Gao, T.T.; Cao, W.; Yang, T.T.; Xu, P.P.; Xu, J.; Li, L.; Gan, Q.; Pan, H.; Zhang, Q. Overweight and Obesity Status and Its Associated Factors among Primary and Secondary School Students in China Rural Middle and Western Regions. Zhonghua Yu Fang Yi Xue Za Zhi [Chin. J. Prev. Med.] 2022, 56, 1238–1243. [Google Scholar]
- Skinner, A.C.; Perrin, E.M.; Moss, L.A.; Skelton, J.A. Cardiometabolic Risks and Severity of Obesity in Children and Young Adults. N. Engl. J. Med. 2015, 373, 1307–1317. [Google Scholar] [CrossRef]
- Zhang, C.; Xiao, S.; Shi, L.; Xue, Y.; Zheng, X.; Dong, F.; Zhang, J.; Xue, B.; Lin, H.; Ouyang, P. Urban–Rural Differences in Patterns and Associated Factors of Multimorbidity Among Older Adults in China: A Cross-Sectional Study Based on Apriori Algorithm and Multinomial Logistic Regression. Front. Public. Health 2021, 9, 707062. [Google Scholar] [CrossRef]
- Tazzeo, C.; Zucchelli, A.; Vetrano, D.L.; Demurtas, J.; Smith, L.; Schoene, D.; Sanchez-Rodriguez, D.; Onder, G.; Balci, C.; Bonetti, S.; et al. Risk Factors for Multimorbidity in Adulthood: A Systematic Review. Ageing Res. Rev. 2023, 91, 102039. [Google Scholar] [CrossRef]
- Araujo, M.E.A.; Silva, M.T.; Galvao, T.F.; Nunes, B.P.; Pereira, M.G. Prevalence and Patterns of Multimorbidity in Amazon Region of Brazil and Associated Determinants: A Cross-Sectional Study. BMJ Open 2018, 8, e023398. [Google Scholar] [CrossRef]
- Skou, S.T.; Mair, F.S.; Fortin, M.; Guthrie, B.; Nunes, B.P.; Miranda, J.J.; Boyd, C.M.; Pati, S.; Mtenga, S.; Smith, S.M. Multimorbidity. Nat. Rev. Dis. Primers 2022, 8, 48. [Google Scholar] [CrossRef] [PubMed]
- Nistor, P. The Relationship between Sleep Health and Multimorbidity in Community Dwelling Populations: Systematic Review and Global Perspectives. Sleep. Med. 2023, 109, 270–284. [Google Scholar] [CrossRef] [PubMed]
- Ferro, M.A.; Lipman, E.L.; Van Lieshout, R.J.; Gorter, J.W.; Shanahan, L.; Boyle, M.; Georgiades, K.; Timmons, B. Multimorbidity in Children and Youth Across the Life-Course (MY LIFE): Protocol of a Canadian Prospective Study. BMJ Open 2019, 9, e034544. [Google Scholar] [CrossRef] [PubMed]
- Li, M.; Shen, S.J.; Chen, Q.X.; Liu, R.; Yang, X.; Yang, C.S.; Xing, Y.; Qu, Y.B. Epidemiological characteristics and related factors of multimorbidity of common diseases among children and adolescents aged 7-18 years in guangdong province. Zhonghua Yu Fang Yi Xue Za Zhi 2025, 59, 277–285. [Google Scholar] [CrossRef]
- Huang, T.Y.; Cai, S.; Zhang, Y.H.; Li, J.X.; Sun, Z.Y.; Yang, T.; Gao, J.Q.; Dong, Y.H.; Xing, Y.; Zhang, X.H.; et al. Analysis of the prevalence of multimorbidity among adolescents aged 13-18 in inner mongolia autonomous region from 2019 to 2022 and its association with moderate to high-intensity physical activity. Zhonghua Yu Fang Yi Xue Za Zhi 2025, 59, 189–194. [Google Scholar] [CrossRef]
- Liu, Z.H.; Zhang, X.W.; Zhao, S.S.; Xu, K.; Sun, Z.Y.; Song, X.L.; Dong, Y.H.; Song, Y.; Cui, Y.S. The cumulative effects of lifestyle on different patterns of multimorbidity among children and adolescents aged 9–18 in tianjin city. Zhonghua Yu Fang Yi Xue Za Zhi 2025, 59, 174–180. [Google Scholar] [CrossRef]
- Wang, L.; Palmer, A.J.; Cocker, F.; Sanderson, K. Multimorbidity and Health-Related Quality of Life (HRQoL) in a Nationally Representative Population Sample: Implications of Count versus Cluster Method for Defining Multimorbidity on HRQoL. Health Qual. Life Outcomes 2017, 15, 7. [Google Scholar] [CrossRef]
- Hu, Y.; Wang, Z.; He, H.; Pan, L.; Tu, J.; Shan, G. Prevalence and Patterns of Multimorbidity in China during 2002–2022: A Systematic Review and Meta-Analysis. Ageing Res. Rev. 2024, 93, 102165. [Google Scholar] [CrossRef]
- Trumbo, P.R.; Rivers, C.R. Systematic Review of the Evidence for an Association between Sugar-Sweetened Beverage Consumption and Risk of Obesity. Nutr. Rev. 2014, 72, 566–574. [Google Scholar] [CrossRef]
- Bejarano, G.; Brayton, R.P.; Ranjit, N.; Hoelscher, D.M.; Brown, D.; Knell, G. Weight Status and Meeting the Physical Activity, Sleep, and Screen-Time Guidelines among Texas Children: Results from a Population Based, Cross-Sectional Analysis. BMC Pediatr. 2022, 22, 428. [Google Scholar] [CrossRef]
- Gioxari, A.; Amerikanou, C.; Peraki, S.; Kaliora, A.C.; Skouroliakou, M. Eating Behavior and Factors of Metabolic Health in Primary Schoolchildren: A Cross-Sectional Study in Greek Children. Nutrients 2023, 15, 3592. [Google Scholar] [CrossRef] [PubMed]
- Backhaus, I.; D’Egidio, V.; Saulle, R.; Masala, D.; Firenze, A.; De Vito, E.; Mannocci, A.; La Torre, G. Health-Related Quality of Life and Its Associated Factors: Results of a Multi-Center Cross-Sectional Study among University Students. J. Public. Health 2020, 42, 285–293. [Google Scholar] [CrossRef] [PubMed]
- Li, Y.; Liu, J.; Qi, P. The Increasing Prevalence of Myopia in Junior High School Students in the Haidian District of Beijing, China: A 10-Year Population-Based Survey. BMC Ophthalmol. 2017, 17, 88. [Google Scholar] [CrossRef] [PubMed]
- Ding, B.-Y.; Shih, Y.-F.; Lin, L.L.K.; Hsiao, C.K.; Wang, I.-J. Myopia among Schoolchildren in East Asia and Singapore. Surv. Ophthalmol. 2017, 62, 677–697. [Google Scholar] [CrossRef]
- Wang, J.; Wang, Y.; Lin, H.; Chen, X.; Wang, H.; Liang, H.; Guo, X.; Fu, C. Mental Health Problems among School-Aged Children after School Reopening: A Cross-Sectional Study during the COVID-19 Post-Pandemic in East China. Front. Psychol. 2021, 12, 773134. [Google Scholar] [CrossRef]
Demographic Characteristics | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
---|---|---|---|---|---|---|---|
Gender | Male | 1992 | 1907 | 1786 | 1833 | 1774 | 1977 |
Female | 1755 | 1875 | 1903 | 1804 | 1928 | 1866 | |
Educational Stage | Primary School | 1830 | 1792 | 1829 | 1845 | 1829 | 1879 |
Junior High School | 964 | 913 | 931 | 903 | 938 | 977 | |
Senior High School | 953 | 1077 | 905 | 889 | 923 | 970 | |
Total | 3747 | 3782 | 3830 | 3637 | 3690 | 3826 |
Diseases | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | Total |
---|---|---|---|---|---|---|---|
Obesity | 22.15% (20.82–23.48%) | 21.53% (20.22–22.84%) | 24.21% (22.85–25.57%) | 20.64% (19.32–21.96%) | 19.17% (17.90–20.44%) | 19.62% (18.36–20.88%) | 21.23% (20.70–21.77%) |
Wasting | 3.81% (3.20–4.42%) | 3.73% (3.13–4.33%) | 2.32% (1.84–2.80%) | 3.31% (2.73–3.89%) | 2.56% (2.05–3.07%) | 3.07% (2.52–3.62%) | 3.13% (2.90–3.36%) |
Stunting | 0.24% (0.08–0.40%) | 0.15% (0.03–0.27%) | 0.34% (0.16–0.52%) | 0.19% (0.05–0.33%) | 0.17% (0.04–0.30%) | 0.21% (0.06–0.36%) | 0.22% (0.16–0.28%) |
Myopia | 72.41% (70.98–73.84%) | 71.77% (70.34–73.20%) | 57.80% (56.24–59.36%) | 59.82% (58.23–61.41%) | 57.25% (55.65–58.85%) | 59.13% (57.57–60.69%) | 63.04% (62.41–63.67%) |
Dental caries | 43.26% (41.67–44.85%) | 43.87% (42.29–45.45%) | 43.96% (42.39–45.53%) | 48.74% (47.12–50.36%) | 49.42% (47.81–51.03%) | 50.18% (48.60–51.76%) | 46.55% (45.90–47.20%) |
Hepatitis | 0.00% (0.00–0.00%) | 0.00% (0.00–0.00%) | 0.00% (0.00–0.00%) | 0.01% (0.00–0.04%) | 0.13% (0.01–0.25%) | 0.01% (0.00–0.04%) | 0.02% (0.01–0.04%) |
Nephritis | 0.00% (0.00–0.00%) | 0.00% (0.00–0.00%) | 0.00% (0.00–0.00%) | 0.00% (0.00–0.00%) | 0.01% (0.00–0.04%) | 0.01% (0.00–0.04%) | 0.01% (0.00–0.02%) |
Heart disease | 0.00% (0.00–0.00%) | 0.00% (0.00–0.00%) | 0.00% (0.00–0.00%) | 0.01% (0.00–0.04%) | 0.03% (0.00–0.09%) | 0.02% (0.00–0.06%) | 0.01% (0.00–0.02%) |
Elevated BP | 13.92% (12.81–15.03%) | 14.21% (13.10–15.32%) | 14.44% (13.33–15.55%) | 12.68% (11.60–13.76%) | 12.25% (11.19–13.31%) | 12.57% (11.52–13.62%) | 13.35% (12.91–13.80%) |
Anemia | 0.36% (0.17–0.55%) | 0.27% (0.10–0.44%) | 0.24% (0.09–0.39%) | 0.24% (0.08–0.40%) | 0.82% (0.53–1.11%) | 0.40% (0.20–0.60%) | 0.39% (0.31–0.47%) |
Diabetes | 0.00% (0.00–0.00%) | 0.00% (0.00–0.00%) | 0.00% (0.00–0.00%) | 0.01% (0.00–0.04%) | 0.01% (0.00–0.04%) | 0.00% (0.00–0.00%) | 0.01% (0.00–0.01%) |
Allergic asthma | 0.11% (0.00–0.22%) | 0.12% (0.01–0.23%) | 0.01% (0.00–0.04%) | 0.01% (0.00–0.04%) | 1.21% (0.86–1.56%) | 0.93% (0.63–1.23%) | 0.40% (0.32–0.48%) |
Number of Multimorbidity | 2 | 3 | 4 | ≥5 | Total |
---|---|---|---|---|---|
Prevalence (%) | 35.49 | 10.03 | 1.85 | 0.10 | 53.95 |
Antecedent | Consequent | Support (%) | Confidence (%) | Lift |
---|---|---|---|---|
Dental caries | Myopia | 32.45 | 67.89 | 1.13 |
Myopia | Dental caries | 32.45 | 45.00 | 1.13 |
Myopia | Obesity | 14.59 | 20.24 | 1.21 |
Obesity | Myopia | 14.59 | 69.76 | 1.21 |
Elevated BP | Myopia | 10.97 | 73.18 | 1.08 |
Obesity | Dental caries | 9.23 | 44.13 | 1.15 |
Elevated BP | Dental caries | 6.81 | 45.42 | 1.12 |
Dental caries, Obesity | Myopia | 6.01 | 65.10 | 1.05 |
Myopia, Obesity | Dental caries | 6.01 | 41.19 | 1.04 |
Obesity | Dental caries, Myopia | 6.01 | 28.73 | 1.06 |
Gender | Antecedent | Consequent | Support (%) | Confidence (%) | Lift |
---|---|---|---|---|---|
Female | Dental caries | Myopia | 36.39 | 70.69 | 1.12 |
Myopia | Dental caries | 36.39 | 48.79 | 1.12 | |
Obesity | Myopia | 11.98 | 71.81 | 1.31 | |
Elevated BP | Myopia | 11.01 | 77.40 | 1.14 | |
Obesity | Dental caries | 8.14 | 48.81 | 2.32 | |
Elevated BP | Dental caries | 7.04 | 49.45 | 1.98 | |
Dental caries, Obesity | Myopia | 5.39 | 66.24 | 1.03 | |
Myopia, Obesity | Dental caries | 5.39 | 45.02 | 1.17 | |
Obesity | Dental caries, Myopia | 5.39 | 32.33 | 1.34 | |
Elevated BP, Dental caries | Myopia | 5.26 | 74.69 | 1.31 | |
Male | Dental caries | Myopia | 28.79 | 64.87 | 1.12 |
Myopia | Dental caries | 28.79 | 41.24 | 1.12 | |
Myopia | Obesity | 17.02 | 24.38 | 1.15 | |
Obesity | Myopia | 17.02 | 68.48 | 1.15 | |
Elevated BP | Myopia | 10.94 | 69.63 | 1.04 | |
Dental caries | Obesity | 10.25 | 23.08 | 1.37 | |
Obesity | Dental caries | 10.25 | 41.21 | 1.21 | |
Elevated BP | Obesity | 6.99 | 44.48 | 2.31 | |
Obesity | Elevated BP | 6.99 | 28.10 | 2.31 | |
Elevated BP | Dental caries | 6.60 | 42.02 | 1.14 |
Educational Stage | Antecedent | Consequent | Support (%) | Confidence (%) | Lift |
---|---|---|---|---|---|
Primary School | Dental caries | Myopia | 32.23 | 49.43 | 1.15 |
Myopia | Dental caries | 32.23 | 66.06 | 1.15 | |
Dental caries | Obesity | 14.78 | 22.19 | 1.26 | |
Obesity | Dental caries | 14.78 | 61.39 | 1.26 | |
Myopia | Obesity | 11.19 | 22.94 | 1.23 | |
Obesity | Myopia | 11.19 | 47.47 | 1.23 | |
Obesity | Dental caries, Myopia | 7.01 | 29.75 | 1.19 | |
Dental caries, Myopia | Obesity | 7.01 | 21.76 | 1.19 | |
Myopia, Obesity | Dental caries | 7.01 | 62.67 | 1.12 | |
Dental caries, Obesity | Myopia | 7.01 | 48.45 | 1.17 | |
Junior High School | Dental caries | Myopia | 30.08 | 68.43 | 1.11 |
Myopia | Dental caries | 30.08 | 44.51 | 1.14 | |
Myopia | Obesity | 17.37 | 25.71 | 1.21 | |
Obesity | Myopia | 17.37 | 64.06 | 1.21 | |
Dental caries | Obesity | 10.17 | 23.13 | 1.24 | |
Obesity | Dental caries | 10.17 | 37.50 | 1.24 | |
Elevated BP | Myopia | 8.89 | 65.12 | 1.04 | |
Obesity | Elevated BP | 6.25 | 23.05 | 2.16 | |
Elevated BP | Obesity | 6.25 | 45.74 | 2.16 | |
Obesity, Myopia | Dental caries | 5.93 | 34.15 | 1.05 | |
Senior High School | Dental caries | Myopia | 29.91 | 87.25 | 1.13 |
Myopia | Dental caries | 29.91 | 33.11 | 1.13 | |
Obesity | Myopia | 13.02 | 89.41 | 1.21 | |
Elevated BP | Myopia | 11.48 | 91.16 | 1.01 | |
Obesity | Dental caries | 5.14 | 35.29 | 1.21 | |
Obesity | Elevated BP | 4.97 | 34.12 | 2.31 | |
Elevated BP | Obesity | 4.97 | 39.46 | 2.31 | |
Obesity, Myopia | Elevated BP | 4.46 | 34.21 | 1.35 | |
Obesity | Elevated BP, Myopia | 4.46 | 30.59 | 1.34 | |
Elevated BP | Obesity, Myopia | 4.46 | 35.37 | 1.28 |
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Wang, J.; Zhou, Q.; Zhang, Y.; Lai, Z.; Zhu, W.; Jia, J.; Yu, Y.; Yin, L. Prevalence of Multimorbidity Among School-Aged Children in the Yangzhou District of China. Healthcare 2025, 13, 1320. https://doi.org/10.3390/healthcare13111320
Wang J, Zhou Q, Zhang Y, Lai Z, Zhu W, Jia J, Yu Y, Yin L. Prevalence of Multimorbidity Among School-Aged Children in the Yangzhou District of China. Healthcare. 2025; 13(11):1320. https://doi.org/10.3390/healthcare13111320
Chicago/Turabian StyleWang, Jinhan, Qian Zhou, Ying Zhang, Zhuoqi Lai, Weiwei Zhu, Jun Jia, Yongquan Yu, and Lihong Yin. 2025. "Prevalence of Multimorbidity Among School-Aged Children in the Yangzhou District of China" Healthcare 13, no. 11: 1320. https://doi.org/10.3390/healthcare13111320
APA StyleWang, J., Zhou, Q., Zhang, Y., Lai, Z., Zhu, W., Jia, J., Yu, Y., & Yin, L. (2025). Prevalence of Multimorbidity Among School-Aged Children in the Yangzhou District of China. Healthcare, 13(11), 1320. https://doi.org/10.3390/healthcare13111320