Objective To explore the correlation between blood biochemical indexes and blood pressure levels among college students in Kunming City.Methods In November 2021,a cluster sampling method was used to survey 4,781 college students at a university in Yunnan Province.Data collected included height,weight and blood pressure,and blood samples were collected for blood biochemical testing.The Mann-Whitney U test and Kruskal-Wallis H test were used to compare the distribution differences of hypertension among college students with different demographic characteristics,while a generalized linear model was used to analyze the correlation between blood biochemical indicators and blood pressure levels.Results The prevalence rate of hypertension among college students was 8.45%(404/4 781).After adjusting confounding variables,blood glucose(GLU,β=1.48,95%CI:0.75～2.20)and serum Total Protein(TP,β=0.25,95%CI:0.19～0.32)were found to be correlated with systolic blood pressure(SBP)levels(all P<0.05);blood glucose(GLU,β=1.25,95%CI:0.64～1.86)and serum total protein(TP,β=0.28,95%CI:0.23～0.34)were correlated with diastolic blood pressure(DBP)level(P<0.05).Stratified group analysis by sex showed that,after controlling for confounding factors,TP(β=0.32,95%CI:0.18～0.45)was correlated with SBP levels in male students;TP(β=0.32,95%CI:0.21～0.43)was correlated with DBP levels in male students(P<0.05).GLU(β=2.18,95%CI:1.29～3.07)and TP(β=0.23,95%CI:0.15～0.31)were correlated with SBP levels in female students;GLU(β=1.48,95%CI:0.73～2.24)and TP(β=0.26,95%CI:0.20～0.33)were correlated with DBP levels in female students(all P<0.05).Conclusion Our findings suggest that blood glucose and serum total protein level are correlated with blood pressure levels in female college students,while serum total protein level are correlated with blood pressure levels in male college students.

Objective: To study the relationship between sugar sweetened beverages consumption characteristics and insomnia of college students in Yunnan Province, so as to provide evidence for sleep quality improvement of college students. Methods: A cluster random sampling method was used to select 2 515 college students from two universities (Kunming University and Dali Nursing Vocational College) in Kunming and Dali in Yunnan Province for a longitudinal study, including baseline survey (T1, November 2021) and three follow up surveys (T2: June 2022, T3: November 2022, T4: June 2023). Sugar sweetened beverages consumption of college students was collected by Semi quantitative Food Frequency Questionnaire and insomnia was assessed by Insomnia Severity Index Scale. Sugarsweetened beverages consumption was analyzed by Kruskal-Wallis test. The Mann-Whiter U test and Kruskal-Wallis test were used to compare the detection rate of insomnia in college students with different population characteristics, and the generalized estimating equations model was established to analyze the association between sugar sweetened beverages consumption and insomnia. Results: The reported rate of insomnia among college students from T1 to T4 was 21.2%, 23.6%, 30.5 % and 36.0%, respectively. The median of sugar sweetened beverages consumption per week was 5 (1,9) bottles per person, and there were significant differences in sugar sweetened beverages (carbonated beverages, fruit beverages, tea beverages, milk beverages, energy beverages) consumption among college students with different insomnia status ( χ 2=42.91, 23.67, 29.98, 61.70, 30.82, P <0.01). The analysis of the generalized estimating equation model revealed that the consumption of carbonated beverages ( β= 0.04, 95%CI =0.00-0.08) and the consumption of milk beverages among college students ( β=0.04, 95%CI =0.00-0.09) were correlated with insomnia ( P <0.05). The stratified analysis indicated that consumption of carbonated beverages by female college students was associated with insomnia [ β(95%CI )=0.06(0.01-0.11)]; consumption of milk beverages among college students from middle income family was associated with insomnia [ β (95% CI )=0.05(0.00-0.10)], and consumption of carbonated beverages and fruit beverages from college students with high household economic status were both associated with insomnia [ β (95% CI )=0.35(0.23-0.46), 0.12(0.00-0.24)] ( P <0.05). Conclusion Sugar sweetened beverages, especially carbonated beverages, are associated with insomnia among college students in Yunnan Province.

Objective: To investigate the association of sugar sweetened beverage (SSB) consumption with insomnia and depressive symptoms among first grade middle school students from Yunnan Province, so as to provide evidence to guide interventions for the treatment of these symptoms in this population. Methods: From October to December 2022, 8 500 firstgrade middle school students from 11 counties in Yunnan Province were selected by cluster random sampling. Depressive symptoms, SSB consumption, and insomnia symptoms among students were evaluated by the Child Depression Scale (CDI), dietary frequency questionnaire, and Insomnia Severity Index (ISI). A Logistic regression model was employed to analyze the relationship between SSB consumption, insomnia, depressive symptoms, and their interaction effects among students. Results: The detection rate of depressive symptoms was 28.3%, and having insomnia symptoms ( OR=6.07, 95%CI =5.46-6.75), consuming carbonated beverages ( OR=1.20, 95%CI =1.08-1.34), tea ( OR=1.13, 95%CI =1.02-1.25), energy drinks ( OR=1.36, 95%CI =1.23-1.50), and other beverages ( OR=1.32, 95%CI =1.19-1.45) were positively correlated with depressive symptoms among first grade middle school students ( P < 0.05). Carbonated beverages (additive effect: OR=2.96, 95%CI =2.72-3.22, multiplicative effect: OR=4.75, 95%CI =4.25- 5.32 ), fruit drinks (additive effect: OR=2.61, 95%CI =2.40-2.82; multiplicative effect: OR=4.43, 95%CI =3.94-4.97), tea (additive effect: OR=2.70, 95%CI =2.47-2.89; multiplicative effect: OR=4.34, 95%CI =3.86-4.89), energy drinks (additive effect: OR=2.82, 95%CI =2.61-3.05; multiplicative effect: OR=4.48, 95%CI =3.92-5.12), sweetened milk (additive effect: OR= 2.73, 95%CI =2.06-2.96; multiplicative effect: OR=4.61, 95%CI =4.12-5.17) and other beverages (additive effect: OR= 2.73 , 95%CI =2.53-2.95; multiplicative effect: OR=4.56, 95%CI =4.00-5.20) had both additive and multiplicative effects with insomnia, and increased the risk of depressive symptoms in first grade middle school students ( P <0.01). Conclusions The interaction between the consumption of SSB and insomnia symptoms may increase the risk of depressive symptoms among first grade middle school students in Yunnan Province. It is necessary to advocate middle school students to reduce SSB intake, in order to decrease the occurrence of depressive symptoms among this population.