Risk factors for cardiometabolic multimorbidity: a meta-analysis / 预防医学

Objective@# To systematically evaluate risk factors for cardiometabolic multimorbidity (CMM), so as to provide the evidence for formulating CMM prevention and control strategies.@*Methods@#Publications pertaining to the risk factors for CMM were retrieved from databases, including SinoMed, CNKI, Wanfang Data, VIP, PubMed and Cochrane Library from inception to March 31, 2023. Meta-analysis was performed using the software RevMan 5.4 and Stata 16.0, and sensitivity analysis was performed using the leave-one-out method. The publication bias was evaluated using Egger's test.@*Results@#Totally 494 publications were screened, and 20 publications were included in the final analysis, including 13 cohort studies (covering 1 940 000 participants) and 7 cross-sectional studies (covering 13 000 000 participants). Meta-analysis revealed that female (OR=1.54, 95%CI: 1.40-1.71), middle age (OR=3.80, 95%CI: 3.33-4.34), elderly (OR=2.82, 95%CI: 1.48-5.37), urban resident (OR=1.41, 95%CI: 1.27-1.57), higher education level (OR=2.01, 95%CI: 1.35-3.01), higher economic level (OR=1.21, 95%CI: 1.16-1.25), overweight (OR=1.92, 95%CI: 1.64-2.26), obesity (OR=3.01, 95%CI: 2.30-3.93), central obesity (OR=1.70, 95%CI: 1.12-2.56), smoking (OR=1.27, 95%CI: 1.07-1.51), alcohol consumption (OR=1.27, 95%CI: 1.01-1.59), irregular diet (OR=1.10, 95%CI: 1.02-1.18), insufficient intake of vegetables and fruits (OR=1.12, 95%CI: 1.07-1.17), lack of sleep at night (OR=1.17, 95%CI: 1.08-1.27), and depression (OR=1.50, 95%CI: 1.33-1.69) were risk factors for CMM. Sensitivity analysis of effects of central obesity and alcohol consumption were not robust. No publication bias was examined by Egger's test.@* Conclusions @#Female, middle age, elderly, urban resident, higher education level, higher economic level, overweight, obesity, central obesity, smoking, alcohol consumption, irregular diet, insufficient intake of vegetables and fruits, lack of sleep at night and depression are risk factors for CMM.

Childhood blood pressure trajectory and its association with overweight and obesity / 中国学校卫生

Objective@#To analyze the childhood blood pressure (BP) trajectory and its relationship with overweight and obesity, to provide evidence regarding prevention and control of childhood elevated BP.@*Methods@#A total of 1 177 children who participated in five surveys of Zigong school based cardiometabolic risks survey. Elevated BP was defined by using National BP reference for Chinese children. Groupbased trajectory model was used to identify distinct BP trajectories. Logistic models were conducted to investigate the association of number of overweight/obesity across surveys with BP trajectory.@*Results@#In the five consecutive waves, the corresponding prevalence of elevated BP was 1.9%, 6.6%, 7.0%, 12.5% and 11.2%. Childhood BP trajectory were classified into constant low and high increasing risk of elevated BP groups. The risk of elevated BP increased at a steady rate with age in constant low risk of elevated BP groups, while the risk of elevated BP increased dramatically with age in high increasing risk of elevated BP groups. Logistic regression analysis showed that those with increasing number of occurrence of overweight/obesity tended to be classified into high increasing risk of elevated BP group( OR=1.34, 95%CI=1.17-1.53, P <0.01).@*Conclusion@#Blood pressure trajectory during childhood varies. The risk of elevated BP increased dramatically with age in overweight and obese children. Attention should be paid to the BP trajectory of overweight and obese children to prevent elevated BP.

Association between childhood abuse experiences and health risk behaviors among college students / 中国学校卫生

Objective@#To understand the association between childhood abuse experience and health risk behaviors among college students, providing references for childhood abuse and health risk behavior prevention.@*Methods@#During Mar. to Apr. of 2016, 918 college students from 2 universities in Nanchong city were selected through cluster sampling, the survey included general demographic characteristics, childhood abuse experiences and health risk behaviors. Chi square test was used for univariate analysis, and Logistic regression was used for multivariate analysis.@*Results@#A total of 720(78.43%) of participants reported at least one type of health risk behaviors, overeating was the most common type[595(64.81%)]. The number of adolescent reporting smoking, drinking 5 or more beers at a time, fighting and suicidal ideation was 146(15.90%), 271(29.52%), 224(24.40%), 205( 22.33 %), respectively. Multivariate Logistic regression analysis showed that a significant positive association between experiencing at least one kind of childhood abuse and the behaviors of fighting, suicidal ideation, and overeating; between childhood emotional neglect with smoking and suicidal ideation; between childhood emotional abuse with fighting, suicidal ideation, and overeating; and between childhood sexual abuse with smoking( P <0.05).@*Conclusion@#Health risk behavior in college students is popular. Childhood abuse can increase the risk of health risk behaviors of college students.