To describe and evaluate a refraction-derived method and a clinically derived method to calculate the correct corneal power for intraocular lens (IOL) power calculations after laser in situ keratomileusis (LASIK) and to compare the results to the commonly used history-derived method. Retrospective analysis were conducted in consecutive case from clinical practice. For each patient, we established the pre-LASIK and post-LASIK spectacle refraction, the pre-LASIK (K(pre)) and post-LASIK K readings (K(post)). We then calculated the pre- and post-LASIK refraction at the cornmeal plane and the amount of correction obtained by the refraction surgery (deltaSEQco). The cases were divided into two groups. Group I was used to derive two formulas. The values obtained with the two methods were compared with the K by history-derived method (K(c.hd) in group II to validate the results. The K values calculated by using the refraction-derived method (K(c.rd)) and the K values calculated using the clinically derived method (K(c.cd)) correlated highly with K(c.hd). The correct corneal power for intraocular lens (IOL) power calculations after LASIK can use refraction-derived method and clinically derived method instead of history-derived method when some refractive parameters are not available.

Changes of corneal properties induced by laser in situ keratomileusis (LASIK) results in low inaccurate intraocular pressure (IOP) readings by Goldmann applanation tonometry (GAT). Before and after LASIK, the applied value of IOP, measured by dynamic contour tonometry (DCT) in comparison to GAT, was evaluated. Before and 1, 4 weeks after LASIK, the IOP in 30 cases (60 eyes) was measured by GAT and DCT respectively. The obtained results were statistically processed by SPSS11.5 statistical software. The results showed that central corneal thickness (CCT) could affect GAT measurements but not DCT measurements. The comparison of IOP one and 4 weeks after LASIK revealed that the readings from GAT was separately decreased by 5.00 +/- 1.12 and 5.45 +/- 1.13 mmHg as compared with those before LASIK, while those from DCT had no significant difference. It was concluded that LASIK-induced changes of CCT could influence the accuracy of GAT measurements, but had no influence on those from DCT. DCT was more beneficial to the measurements of IOP in normal eyes and those subject to LASIK surgery.

Changes of corneal properties induced by laser in situ keratomileusis (LASIK) results in low inaccurate intraocular pressure (IOP) readings by Goldmann applanation tonometry (GAT).Before and after LASIK, the applied value of IOP, measured by dynamic contour tonometry (DCT)in comparison to GAT, was evaluated. Before and 1, 4 weeks after LASIK, the IOP in 30 cases (60 eyes) was measured by GAT and DCT respectively. The obtained results were statistically processed by SPSS11. 5 statistical software. The results showed that central corneal thickness (CCT)could affect GAT measurements but not DCT measurements. The comparison of IOP one and 4 weeks after LASIK revealed that the readings from GAT was separately decreased by 5.00±1.12 and 5.45±1. 13 mmHg as compared with those before LASIK, while those from DCT had no significant difference. It was concluded that LASIK-induced changes of CCT could influence the accuracy of GAT measurements, but had no influence on those from DCT. DCT was more beneficial to the measurements of IOP in normal eyes and those subject to LASIK surgery.

To describe and evaluate a refraction-derived method and a clinically derived method to calculate the correct corneal power for intraocular lens (IOL) power calculations after laser in situ keratomileusis (LASIK) and to compare the results to the commonly used history-derived method.Retrospective analysis were conducted in consecutive case from clinical practice. For each patient,we established the pre-LASIK and post-LASIK spectacle refraction, the pre-LASIK (Kpre) and post-LASIK K readings (Kpost). We then calculated the pre- and post-LASIK refraction at the corneal plane and the amount of correction obtained by the refraction surgery (△SEQco). The cases were divided into two groups. Group Ⅰ was used to derive two formulas. The values obtained with the two methods were compared with the K by history-derived method (Kc.hd) in group Ⅱ to validate the results. The K values calculated by using the refraction-derived method (Kc.rd) and the K values calculated using the clinically derived method (Kc.cd) correlated highly with Kc.hd. The correct corneal power for intraocular lens (IOL) power calculations after LASIK can use refraction-derived method and clinically derived method instead of history-derived method when some refractive parameters are not available.

Objective: To understand the early life factors that influence cardiometabolic risk factors in children and adolescents, so as to provide effective measures to curb cardiometabolic risk factors such as hypertension and diabetes in children and adolescents. Methods: Data were sourced from the 2020 follow up survey of the Xiamen Adolescent Development Cohort. The study involved 1 197 subjects for whom completed anthropometric examination and blood biochemistry testing data, as well as early life data. Early life and sociodemographic data were obtained through questionnaire surveys, while cardiometabolic indicator data were sourced through physical examinations and blood testing. Logistic regression analysis was performed to analyze the impact of early life factors on the cardiometabolic risk factors after adjusting for gender, age, and family history. Results: The prevalence rate of cardiometabolic risk factors clustering in children and adolescents in Xiamen was 17.96%, with boys (26.67%) reporting higher rates than girls (9.64%), and the difference was statistically significant ( χ 2=57.69, P <0.01). For every additional early life risk factor, the risk factors of obesity increased 0.35 times ( OR=1.35, 95%CI=1.03-1.78, P <0.05). Post term pregnancy may be a primary early life risk factors for cardiometabolic risk factors, and it was associated with an increased risk of cardiometabolic risk factors clustering (OR=2.45, 95% CI =1.11-5.41) and high triglycerides ( OR=3.25, 95%CI =1.39-7.61)( P <0.05). Conclusion Increased cardiometabolic risk factors in youth is associated with early life adverse factors. It is crucial to pay greater attention to post term pregnancy as an early life factor and to consider obesity as a cardiometabolic risk factors. Controlling early life adverse factors is important for the prevention of cardiovascular disease.

Objective: To understand the current status of obesity and high blood pressure (HBP) comorbidity and their multidimensional influencing factors in children aged 7-12 years in Xiamen, so as to provide reference basis for subsequent preventive measures. Methods: Based on the baseline survey of the Xiamen pubertal development cohort in 2017, a total of 4 798 primary school students from second to sixth grade were selected in the study by cluster random sampling method. And physical examination and questionnaires were conducted. The Logistic regression was used to screen potential variables for obesity combined with HBP. A multivariate Logistic regression model was used to analyse the factors influencing obesity combined with HBP. Results: About 9.15 % children were found with obesity and 11.65% with HBP. The rate of obesity combined with HBP was 3.00% in boys and 1.80 % in girls. The rate of HBP was 8.28% in normal weight children and 26.88% in obese children. Multivariate Logistic regression models showed that consumption of sugary drinks at least once a week ( OR =2.50), daily consumption of salted or pickled vegetables ( OR =4.52), family history of obesity ( OR =3.09) were positively associated with obesity combined with HBP ( P <0.05). Girls ( OR =0.53), consumption of highenergy snacks at least once a week ( OR =0.40) and adequate physical activity ( OR =0.58) were negatively associated with comorbidity of obesity and HBP ( P <0.05). Conclusion Gender differences in comorbidity burden of obesity and HBP exist among children aged 7-12 years in Xiamen. Dietary behaviour and exercise behaviour are the main dimensions influencing the comorbidity of obesity and HBP. Prevention and control of obesity and HBP in children should be based on multiple dimensions, including diet and exercise behavioural environment, to prevent early the occurrence for comorbidity of obesity and HBP in children.

Objective: To explore the association between digital devices usage and body weight overestimation in children and adolescents aged 7-18, in order to provide a scientific basis for body weight overestimation prevention in children and adolescents. Methods: Based on the data of the Research Special Project for Public Welfare Industry of Health using stratified cluster sampling method in 2012, a tatal of 40 073 children and adolescents from 7 provinces with complete information were chosen. Ordinal multivariable Logistic regression model estimated the association between digital devices usage and body weight overestimation. Results: A total of 4 276(11.8%) students with overestimation of body weight were detected, who spent >300 min/d time in digital devices(5.12%) than others (3.84%)( χ 2=19.14, P <0.01). Univariate analysis showed that students with time spent on digital devices >300 min/d had a higher risk in overestimation of body weight ( OR=1.36,95%CI=1.18-1.57,P <0.01) compared with students who spent on digital devices≤120 min/d. There was still a significant association after confounder adjustment ( OR=1.28, 95%CI= 1.10-1.48,P <0.05). Stratified analysis showed that the association between digital devices usage and overestimation of body weight were only observed in girls, 11-18 years old and non single child( P <0.05). Conclusion The time usage of digital devices is associated with overestimation of body weight in children and adolescents. It may helpful for children and adolescents to prevent overestimation of body weight by reducing time spent on digital devices.

Objective: To analyze the association between sleep duration and social anxiety in Chinese children and adolescents to provide evidence for promoting healthy lifestyle and mental health in children and adolescents. Methods: A total of 1 145 children and adolescents aged 7-16 were recruited by cluster random sampling in Beijing in 2020, and received a series of body measurements and questionnaire survey. Social Anxiety Scale for Children (SASC) and Pittsburgh Sleep Quality Index (PSQI) were used to evaluate the social anxiety symptoms and sleep duration of children and adolescents. T test was used to compare the differences of social anxiety level in different groups, and multivariate linear regression analysis was used to analyze the relationship between sleep duration and social anxiety. Results: The average score of social anxiety was (5.47±4.18). The social anxiety score of girls, participants aged 13-16, with insufficient physical activity and insufficient sleep duration were higher ( t =-4.34, -6.14, 3.35, 2.93, P < 0.05). The results of multivariate linear regression model showed that after adjusting confounding factors, social anxiety decreased by 0.78 for each additional hour of sleep duration ( β =-0.78, 95% CI =-1.03--0.54, P <0.01), with 0.60 in boys (95% CI = -0.95 --0.25), 0.90 in girls (95% CI =-1.24--0.56), 0.75 among participants aged 7-12 (95% CI =-1.11--0.40) and 0.76 among participants aged 13~16 (95% CI =-1.11--0.41)( P <0.01), respectively. Social anxiety among participants who were not over weight or obese decreased by 0.78(95% CI =-1.09--0.48) and 0.81 among overweight and obese group (95% CI =-1.22- -0.41 )( P <0.01) for each additional hour of sleep duration, respectively. Conclusion Substantial differences in social anxiety are observed in children and adolescents by gender, age group and nutritional status. Sufficient sleep duration is significantly related to the decrease of social anxiety, and improve the overall level of student mental health.

Objective: To investigate the prevalence of Internet addiction and depression of students, and to analyze the co-occurrence and trend, so as to provide a theoretical basis for prevention and controlling measures of Internet addiction and depression. Methods: A total of 6 317,7 152,81 808,71 180 and 89 932 students aged 10 to 24 years from 12 leagues (103 banners) in Inner Mongolia Autonomous Region were selected by stratified random cluster sampling in September each year from 2017 to 2021. The Internet Addiction Scale and the Central for Epidemiologic Studies Depression Scale(CES-D) was used to measure Internet addiction and depression. And the annual inspection rate, group difference and annual change trend in students were calculated. Multivariate linear regression and restricted cubic spline analysis were used to estimate the linear and non linear associations between Internet addiction and depression in students. Results: The Internet addiction proportion in students gradually decreased from 4.1% in 2017 to 2.1% in 2020, but increased to 3.9% in 2021. And the depressive symptoms proportion increased from 20.9% in 2017 to 28.0% in 2020 and 27.0% in 2021. The detection rate of Internet addiction and depression comorbidities remained at 1.8% to 2.5 %. The Internet addiction proportion in boys was higher than that in girls( χ 2=42.82， P <0.05). The depressive symptoms prevalence in girls was higher than that in boys( χ 2= 553.90， P <0.05). Taking reversal in prevalence of Internet addiction in urban and rural areas was observed in 2019. The detection rates of depressive symptoms and comorbidity were higher in urban areas than these in suburban counties on the whole, and the difference showed a trend of decreasing or even equalizing year by year. Internet addiction was positively correlated with depressive symptoms score ( B=1.67, 95%CI =1.64-1.71), the proportion of depressive symptoms ( OR=1.39, 95%CI =1.38-1.41) and the proportion of major depressive symptoms ( OR=1.35, 95%CI =1.33-1.36) among students in 2021 ( P <0.05). An N-shaped curve was found in the significant nonlinear associations between internet addiction and depression across sex, region and school stage. Conclusion Internet addiction and depression in students show significant linear and non-linear associations, which are consistent in different sexes, regions and school stages. Therefore, relevant measures should be made and implemented in each region, especially in suburb areas, so as to prevent the increasingly development of adolescents and children s Internet addiction and depression.

Objective:To investigate the phenotype, genotype and clinical course of centronuclear myopathy(CNM) in children.Methods:Clinical data of patients with CNM in the Department of Pediatrics, Peking University First Hospital from October 2008 to December 2018 were collected.The clinical, pathological and genetic data of 9 children with CNM were retrospectively analyzed.The patients were followed up from 8 months to 8.6 years [(4.4±3.1) years].Results:(1)Clinical phenotype: there were 6 males and 3 females with onset age ranging from 1 d to 10 years.Generalized muscle weakness or motor retardation was the main complaint in 8 cases, while elevated muscle enzymes presented in 1 case.Varying degrees of skeletal muscle weakness were noted on examination in all patients, with facial muscle involvement in 4 cases.Six patients were followed up.No deterioration in motor function was noted, while 2 patients had improvement.There was no significant cardiac involvement in all 6 patients.Scoliosis occurred in 4 patients.Restrictive ventilator disorder developed in 2 out of the 5 patients who underwent pulmonary function tests.(2)Genotype: 8 out of 9 patients underwent gene test, confirmed gene diagnosis in 4 patients including: DNM2 gene (c.1856C>T, c.1893+ 1G>A was novel) de novo heterozygous mutation in 2 cases, RYR1 gene (c.2044C>G, c.6823G>A, both were novel) compound heterozygous mutation in 1 case, and TTN gene (c.107377+ 1G>A, c.2106_2107 insAAGCTGTA was novel) compound heterozygous mutation in 1 case. Conclusions:The course of centronuclear myopathy is relatively static, with more frequent involvement of facial muscles than myocardium.This study enriched the gene mutation spectrum of centronuclear myopathy (4 novel mutations).