Multimorbidity of common diseases in children and adolescents refers to the coexistence of two or more common diseases or chronic health problems in the same individual. In recent years, the multimorbidity of common diseases in children and adolescents has become increasingly serious, which has enormously increased disease burden and socio-economic losses. These diseases typically share similar influencing factors, such as adverse environmental factors, unhealthy diets, lack of outdoor activities and physical exercise, sedentary lifestyle, excessive use of electronic devices, and disturbed sleep rhythms. Multidimensional interventions targeting these factors are effective methods of preventing and controlling multimorbidity of common diseases in children and adolescents. This review summarizes the public health burden, epidemiological data, risk factors, and interventions for multimorbidity of common diseases in children and adolescents to strengthen relevant research, develop effective intervention strategies, reduce the disease burden of children and adolescents, and promote their healthy growth.

Objective:To analyze the epidemiological characteristics of drug resistance genes of carbapenemase-producing Escherichia coli (CPECO) in Henan Province Hospital of Traditional Chinese Medicine from 2021 to 2023, providing data support and theoretical basis for controlling nosocomial infections of CPECO.Methods:Using a cross-sectional study, 30 carbapenem-resistant Escherichia coli (CRECO) strains confirmed by VITEK-2 Compact identification and drug sensitivity test in the Clinical Microbiology Laboratory of Henan Province Hospital of Traditional Chinese Medicine from 2021 to 2023 were tested, using carbapenemase inhibitor enhancement test to conduct preliminary screening of carbapenemases, and colloidal gold immunochromatography and polymerase chain reaction (PCR) were used to determine the phenotypes and genotypes of common carbapenemases ( blaKPC, blaNDM, blaVIM, blaIMP, blaOXA) respectively, and the genotypes ( blaSHV, blaTEM, blaCTX) of common extended Spectrum beta-lactamases (ESBL) were confirmed using PCR. The PCR amplification products of carbapenemase and ESBL positive strains were Sanger-sequenced, and the sequencing products were compared on the Blast website to determine the exact carbapenemase and ESBL genotypes. Sequence typing (ST) was performed on CPECO using the Achtman multi-locus sequence typing scheme to determine the cloning relationship between different strains. Results:A total of 21 CPECO strains were screened. Drug sensitivity test results showed that CPECO strains showed widespread drug resistance, with the resistance rate to monocyclic (aztreonam) and trimethoprim/sulfamethoxazole being over 60%(16/21, 14/21), and the resistance rate to other antibacterial drugs being 100%. Only the sensitivity to aminoglycosides and fosfomycin remained relatively high, and no strains resistant to tigecycline and colistin were found. Colloidal gold immunochromatography detected 18 blaNDM types, 2 blaKPC types, and 1 blaIMP type. Sequencing of drug resistance gene PCR products classified 17 blaNDM-5 strains, 1 blaNDM-4 strain, 2 blaKPC-2 strain, and 1 blaIMP-4 strain, which were completely consistent with the results of screening test and colloidal gold immunochromatography. ESBL resistance gene testing showed that the detection rate of blaTEM was 42.9%(9/21), blaCTX-M was 33.3%(7/21), and blaSHV was 4.8%(1/21). The rate of blaNDM producing CPECO carrying both ESBL resistance genes was 27.8%(5/18). The MLST typing results revealed 11 sequence types (STs), including one ST155 clonal complex and nine singleton STs. Among these, there were seven strains of ST167, five strains of ST410, and one strain each of ST58, ST68, ST69, ST93, ST131, ST155, ST648, ST1114, and ST3268. Conclusion:The main resistance mechanism identified in this study for CPECO was the production of blaNDM-5 carbapenemase, with a high proportion of strains also carrying blaTEM-1D and/or blaCTX-M-15 ESBLs. MLST typing found that the epidemic strain of CPECO showed certain polymorphism, but there were clonal transmission of multiple clonal complexes between ST167 and ST410.

Objective:To explore the distribution characteristics of Mycoplasma pneumoniae (MP) antibody detection data in hospital, provide data reference for the prevention and control of MP infections.Methods:A single-center retrospective study was conducted on 20 639 patients with suspected Mycoplasma pneumoniae (MP) infection from March 2017 to February 2024 at the outpatient, emergency, and inpatient departments of Peking University Third Hospital. The age range was from 0 to 105 years, with 11 286 males and 9 353 females. The passive agglutination method was used to detect MP antibodies in patient serum, and SPSS 22.0 statistical software was used for statistical analysis. The χ2 test was used to analyze the differences in positive rates of MP antibodies among different genders, age groups, seasons, years, and antibody titers. The trend χ2 test was used to analyze the trend of detection rates with age changes. Results:Among the 20 639 patients, the positive rate of MP antibodies was 23.19%(4 786/20 639), with a higher positive rate in females was 27.16%(2 540/9 353) compared to males (19.90%, 2 246/11 286; χ2=151.191, P<0.01). The positive rate in children was 37.13%(2 731/7 356)significantly higher than in adults(15.47%, 2 055/13 283; χ2=1 246.433, P<0.01). The 6 to <12 year age group (63.11%, 1 223/1 938) had the highest positive rate of MP antibodies, followed by 12 to <18 year old group (56.78%, 385/678). The positive rate of MP antibodies increased with age from 0 to 12 years old but gradually decreased after 12 to <18 years old ( χ2=3 848.393, P trend<0.01). The annual MP antibody positivity rates from 2017 to 2023 were 26.92%, 29.23%, 27.46%, 18.43%, 17.16%, 11.89%, and 23.72%, respectively, with statistically significant differences among the years ( χ2=387.519, P<0.01). The MP antibody positive rate was high in autumn over the course of 7 years ( χ2=242.560, P<0.01). The positive rates of MP antibodies for the years 2017-2019, 2020-2022, and 2023-2024 are (28.00%, 16.60%, 21.84%), respectively, with statistically significant differences among the three periods( χ2=295.845, P<0.01).The monthly positive rates of MP antibody in different years were (5.63% to 43.11%). In the MP antibody titer, qualitative testing was conducted on 4 563 patients and 16 076 patients had a semi-quantitative MP antibody titer of ≥1∶160 with a positive rate of 16.03%(2 577/16 076). Among the proportion of children with high titers of MP antibodies ≥1∶1 280 was 11.11%(798/7 182). Conclusion:The positive rates of MP antibodies in hospital in the Beijing area vary among different genders, ages, and seasons, with a higher incidence in autumn, mainly among children and adolescents.

This study aimed to investigate the association between secondhand smoke exposure in different places and overweight/obesity among children and adolescents. Children and adolescents aged 7 to 18 years old in Hunan Province were recruited for questionnaire surveys and physical examinations using a multi-stage stratified cluster sampling method. Secondhand smoke exposure was evaluated according to the answer to the question, "Has someone smoked in front of you in the last 7 days?". Overweight and obesity were determined using BMI-for-age and BMI-for-sex according to the national standard WS/T586-2018. Multivariate logistic regression was used to explore the association between secondhand smoke exposure in different places and overweight/obesity among children and adolescents. A total of 187 863 participants were included in this study, with a prevalence of overweight and obesity of 28.4%. The prevalence of secondhand smoke exposure at home, school and other public places was 25.5%, 12.6% and 32.3%, respectively. Children and adolescents with secondhand smoke exposure at home, school and other public places had a higher prevalence of overweight and obesity than those without exposure. After adjusting for confounding factors, secondhand smoke exposure was positively associated with overweight and obesity among children and adolescents, and exposure at home showed the closest association ( OR=1.091; 95% CI: 1.066-1.117). In conclusion, secondhand smoke exposure, especially at home, significantly increases the risk of overweight and obesity among children and adolescents. Comprehensive strategies should be implemented to avoid secondhand smoke exposure and protect children and adolescents from overweight and obesity.

To analyze the transmission characteristics of newly reported HIV-infected students aged ≥18 years in Nanjing City from 2016 to 2022 and provide evidence for AIDS publicity and intervention among young students. The pol region sequences of newly reported HIV-infected students and non-student HIV-infected individuals in Nanjing City from 2016 to 2022 were collected, and the BLAST tool was used to search the published global non-Nanjing reported HIV infection sequences in the LANL HIV database. The basic molecular transmission network and regional molecular transmission network were constructed using the HIV-TRACE in a pairwise genetic distance threshold of 1.0%. 332 sequences of infected students aged≥18 years in Nanjing City, 1 904 sequences of non-student-infected individuals in Nanjing City and 1 698 non-Nanjing-infected individuals were obtained. Among the 332 infected students, the main route of infection was homosexual (96.39%), and the subtypes were CRF01_AE (37.95%), CRF07_BC (37.65%) and CRF105_0107 (10.24%). There were 890 sequences in the regional molecular transmission network, of which 21.80% were infected students in Nanjing City, 39.89% were non-student-infected individuals in Nanjing City, and 38.31% were non-Nanjing-infected individuals. In the CRF105_0107 transmission cluster, non-student-infected individuals from Nanjing accounted for 66.95% (81/121), while in the CRF07_BC transmission cluster, non-Nanjing-infected individuals accounted for 56.66% (200/353). There were 1 644 edges connected to infected students within the regional molecular transmission network, with local transmission accounting for 64.72% and regional transmission accounting for 35.28%. Regional transmission was mainly in Guangdong Province (19.83%) and other cities in Jiangsu Province (4.50%). The HIV-1 subtypes of newly reported HIV-infected students aged≥18 years in Nanjing City are mainly CRF01_AE, CRF07_BC and CRF105_0107, with local transmission as the main transmission characteristics. There is transmission between students and non-students.

Acute lower respiratory infections in infants and young children, caused by respiratory syncytial virus (RSV), represent a significant global public health challenge, characterized by a substantial disease burden. During the winter and spring seasons, various respiratory viruses tend to co-circulate, leading to increased pressure on pediatric healthcare services due to heightened rates of visits and hospitalizations. Currently, there is no approved RSV vaccine available for children worldwide; however, the development and application of long-acting monoclonal antibodies present a promising avenue for the prevention of RSV in this vulnerable population. In June 2024, Tianjin released"Guidelines for the monoclonal antibody of respiratory syncytial virus in Tianjin (2024 version)", which outlines the promotion of monoclonal antibody administration in vaccination clinics throughout the region. The objective of this paper is to provide reference information that may assist in the formulation and implementation of a national RSV immunization strategy.

Objective:To explore the impact of air pollution on hospital visits for mental and behavioral disorders among residents in an industrial area in Henan Province from 2016 to 2021.Methods:Daily outpatient visits data for mental and behavioral disorders were collected from Angang General Hospital in Angang Industrial Area at Anyang City between January 2016 and December 2021. And air pollutants and meteorological data during the same period were also collected. A generalized additive model was used for time-series analysis to examine the relationship between daily average concentrations of nitrogen dioxide (NO 2), sulfur dioxide (SO 2), fine particulate matter (PM 2.5), inhalable particulate matter (PM 10), carbon monoxide (CO), and ozone (O 3) with a lag of 0 to 7 days on the number of visits for mental and behavioral disorders among residents. The single-day lag effect (lag0-lag7 d) and cumulative lag effect (lag01-lag07 d) were analyzed. The smooth cubic spline function was used to fit the exposure-response relationship, and subgroup analysis was performed according to different genders, seasons and ages. Results:A total of 26 268 hospital visits for mental and behavioral disorders were collected from the industrial area between 2016 and 2021. The daily average concentrations of SO 2, NO 2, PM 2.5, PM 10, and CO were (27.50±27.33), (43.11±18.33), (73.87±60.30), (134.01±83.81) μg/m 3, and (1.72±1.03) mg/m 3, respectively. The daily maximum 8-hour average concentration of O 3 was (82.18±53.70) μg/m 3. After controlling for long-term trends, temperature, relative humidity, day of the week effects, and holiday effects, the generalized additive model analysis showed that NO 2 had a statistically significant impact on the hospital visits for mental and behavioral disorders at lag0 d, lag2 d and lag01-lag05 d and CO had a statistically significant impact at lag0-lag3 d and lag01-lag06 d (all P<0.05). NO 2 at lag02-lag04 d and CO at lag0-lag2 d and lag01-lag04 d had statistically significant effects on the visits for neurasthenia (both P<0.05). The impacts of NO 2 at lag03-lag04 d, PM 2.5 at lag3 d and lag03-lag04 d, PM 10 at lag3 d and lag03 d, and CO at lag3 d and lag01-lag05 d on visits for generalized anxiety disorder were also statistically significant (all P<0.05). After false discovery rate (FDR) correction, it was shown that for every 10 μg/m 3 increase in NO 2 and every 0.1 mg/m 3 increase in CO, the percentage increase in visits for mental and behavioral disorders and its 95% confidence interval (95% CI) were 3.38% (0.95%-5.87%) and 0.78% (0.38%-1.17%), respectively. For every 0.1 mg/m 3 increase in CO, the visits for neurasthenia increased by 0.78% (0.27%-1.29%). For every 10 μg/m 3 increase in PM 2.5 and every 0.1 mg/m 3 increase in CO, the visits for generalized anxiety disorder increased by 1.07% (0.46%-1.68%) and 1.17% (0.37%-1.97%), respectively (adjusted P<0.05). There was a linear exposure-response relationship between NO 2 and CO and the hospital visits for mental and behavioral disorders, CO and the hospital visits for neurasthenia, and CO and PM 2.5 and the hospital visits for generalized anxiety disorder ( P<0.05 for the overall association test and P>0.05 for the non-linearity test). Stratified analysis showed that air pollutants had an impact on male patients with neurasthenia, female patients with generalized anxiety disorder, individuals aged <45 years with mental and behavioral disorders, and individuals aged ≥65 years with generalized anxiety disorder. The impact of air pollutants was greater during the cold season or winter. Conclusion:Exposure to air pollution can increase hospital visits for mental and behavioral disorders among residents in industrial areas, with a higher risk among those aged<45 years old and during the cold season.

Objective:To analyze the respiratory virus infection status and epidemiological characteristics of influenza-like illness (ILI) cases in Shandong Province during the 2020 -2021 influenza surveillance year. Methods:According to the National Influenza Surveillance Plan (2017 version), throat swab samples of ILI cases were collected from 14 surveillance sentinel hospitals in Shandong Province. Nucleic acid was extracted from all samples. Real-time fluorescence quantitative PCR (RT-PCR) was utilized to detect six common viruses, including human metapneumovirus (HMPV), human parainfluenza virus (HPIV) types 1, 2 and 3, respiratory syncytial virus (RSV), and adenovirus (ADV). Subsequently, the obtained detection results were analyzed.Results:A total of 2 386 specimens were collected, with a detection rate of 24.22% (578). Six viruses were detected, with detection rates of 6.75% (162 cases) for HMPV, 5.87% (140 cases) for RSV, 3.56% (85 cases) for HPIV3, 3.14% (75 cases) for HPIV2, 2.98% (71 cases) for HPIV1, and 2.77% (66 cases) for ADV. There was no significant difference in detection rates between genders, but a notable variation among different age groups ( P<0.001). The highest detection rate was observed in individuals aged 0-4 years (31.94%), followed by those aged≥60 years (26.06%). The prevalence of six viruses showed a monthly variation, with the detection rate of HMPV being higher in December and HPIV1 being higher in February. HPIV2, HPIV3, RSV, and ADV had higher detection rates in November. The co-detection rate of multiple viruses was 0.80%, with RSV being the most common pathogen involved in co-detection, primarily in individuals aged 0-4 years. Conclusion:The detection of six multiple pathogens in ILI cases in Shandong Province is dominated by HMPV, RSV and HPIV3. The prevalence of respiratory viruses varies by age and time.

Objective:To analyze the iodine nutrition status and its related factors among adults aged 18 years and above in Zhejiang Province in 2022.Methods:A multistage stratified sampling method was used to select 4 320 adults aged 18 years and above from 16 on-site survey sites in Zhejiang Province for the study. A questionnaire was used to investigate the general demographic information and personal dietary characteristics of the study participants. Household edible salt and urine samples were collected to detect salt iodine content and urinary iodine level by using direct titration and cerium arsenate-catalyzed spectrophotometry, respectively, to evaluate the iodine nutritional status according to the standard. The multiple-ordered logistic regression model was used to analyze the factors influencing the urinary iodine concentration.Results:The age of the 4 320 study participants was (51.19±15.33) years, with males accounting for 44.44% (1 920). About 40.16% of adults (1 735) were from coastal areas and 56.37% (2 435) from urban areas. The salt iodine content, M ( Q1, Q3), of the 4 320 household edible salt samples was 21.10 (0.00, 24.16) mg/kg, including 1 662 non-iodized salt samples, 182 unqualified iodized salt samples and 2 476 qualified iodized salt samples. The rate of iodized salt coverage was 61.53%, and the rate of qualified iodized salt consumption was 57.31%. There was a statistically significant difference in the proportion of qualified iodized salt in adult households among different regions ( P<0.001), with the proportion of non-iodized salt gradually decreasing from coastal to inland areas ( χ 2trend=618.458, P<0.001). The urinary iodine concentration M ( Q1, Q3) was 137.60 (86.85, 210.60) μg/L in 4 320 adult urine samples, with the urinary iodine levels of<100, 100-199, 200-299, and≥300 μg/L accounting for 31.64% (1 367), 40.56% (1 752), 17.66% (763), and 10.14% (438), respectively. There was a nonlinear positive correlation between household salt iodine content and urinary iodine level in adults aged 18 years and above by using the χ 2 test for trend ( χ 2regression=231.10, P<0.001 and χ 2skew=28.81, P<0.001). Urinary iodine concentrations were higher in men than in women ( P=0.029) and higher in adults in rural areas than in urban areas ( P<0.001). There were statistically significant differences in the distribution of iodine nutritional status among adults of different ages, regions, and urban and rural areas (all P<0.001). The proportion of those with urinary iodine levels<100 μg/L gradually increased with age ( χ 2trend=37.493, P<0.001), and gradually decreased from coastal areas to inland areas ( χ 2trend=71.381, P<0.001). The results of the multiple-ordered logistic regression model analysis showed that compared with adults aged 18 to 44 years and male adults, those aged 45 to 59 years and female adults had lower urinary iodine levels, with OR (95% CI) of 0.75 (0.68-0.83) and 0.85 (0.76-0.95), respectively. Compared with adults in coastal and urban adults, those in sub-coastal, inland and rural adults had higher levels of urinary iodine, with OR (95% CI) of 1.89 (1.63-2.19), 2.02 (1.72-2.37) and 1.46 (1.28-1.66), respectively. Conclusion:The overall iodine nutrition level of adults aged 18 years and above in Zhejiang Province in 2022 is generally appropriate. However, there is a potential risk of iodine deficiency among adults in coastal areas.

Objective:To explore the direction of the association between smartphone multitasking behavior and comorbid symptoms of anxiety and depression (CAD) among college students.Methods:College students from one college located in Shanxi, Chongqing, and Shenzhen were selected between October and December 2021 using a multistage random cluster sampling method, and a follow-up visit was conducted in May 2022. The Assessment of Smartphone Multitasking for Adolescents, the Patient Health Questionnaire-9 Items, and the Generalized Anxiety Disorder Questionnaire-7 Items were used to assess the smartphone multitasking behaviors and CAD of college students. Multivariate logistic regression models were used to analyze the associations between smartphone multitasking behavior and CAD. Autoregressive cross-lagged models (ARCLM) were used to analyze the bidirectional associations between smartphone multitasking behavior and CAD.Results:A total of 953 college students were included in this study, including 323 (33.9%) males and 630 (66.1%) females, with an age of (18.89±1.33) years. The detection rates of CAD at baseline and follow-up were 25.5% and 27.5%, respectively. The mean of the total smartphone multitasking index at baseline was 2.11±0.48. The mean of smartphone and non-media activity multitasking index was 2.00±0.55. The mean of smartphone and other media activity multitasking index was 1.92±0.67. The mean of smartphone functional use multitasking index was 2.18±0.54. The multivariate logistic regression models showed that smartphone and non-media activity multitasking index ( OR=1.85, 95% CI: 1.39-2.45), smartphone and other media activity multitasking index ( OR=1.42, 95% CI: 1.10-1.83), and total smartphone multitasking index ( OR=1.66, 95% CI: 1.21-2.28) were positively associated with the risk of CAD among college students at baseline. The smartphone and non-media activity multitasking index ( OR=1.74,95% CI: 1.30-2.32), smartphone and other media activity multitasking index ( OR=1.37, 95% CI: 1.04-1.79) and total smartphone multitasking index ( OR=1.48, 95% CI: 1.06-2.06) were positively associated with the risk of CAD at follow-up. There was no statistical association between smartphone functional use multitasking index at baseline and CAD. The ARCLM showed that smartphone and non-media activity multitasking index ( β=0.974, P=0.029), smartphone and other media multitasking index ( β=0.798, P=0.003), and the total smartphone multitasking index ( β=1.379, P=0.011) at baseline could positively predict the risk of CAD at follow-up. The CAD at baseline could positively predict smartphone and other media multitasking index ( β=0.004, P=0.016) and smartphone functional use multitasking index at follow-up ( β=0.004, P=0.016). Conclusion:There is a bidirectional association between smartphone and other media activity multitasking and CAD among college students.