Objective: To analyze the longitudinal association between mobile phone dependence and depressive symptoms in college students, so as to provide a theoretical basis for psychological health education among college students. Methods: From November 2021 to June 2023, 2 515 first year students from 2 universities in Yunnan Province were surveyed with a questionnaire by a cluster random sampling method, including baseline survey (November 2021, T1) and three follow up visits (June 2022, T2; November 2022, T3; June 2023, T4). The Self rating Questionnaire for Adolescent Problematic Mobile Phone Use and the Depression Anxiety Stress Scales-21 (DASS-21) were used to evaluate mobile phone dependence and depressive symptoms of college students. The χ 2 test was used to analyze the difference in depressive symptoms among different demographic groups, and a generalized estimation equation model was established to analyze the association between mobile phone dependence symptoms and depressive symptoms. Results: The detection rates of depressive symptoms among university students in Yunnan Province at time points T1, T2, T3, and T4 were 23.02%, 33.36%, 34.79% and 35.51%, respectively. There were statistically significant differences in the detection rates of depressive symptoms among college students with different sacademic burden (T1, T2, T3, T4), different number of close friends (T1, T2, T3), as well as their father s educational level (T1), mothers educational level (T2, T4), gender (T4), major (T3, T4), education (T2, T3, T4), family residency (T1, T2), and family economic conditions (T1, T2, T4) ( χ 2= 59.68 , 49.38, 16.70, 39.31; 55.35, 26.01, 16.69; 10.22; 14.87, 11.51; 14.90; 27.81, 50.28; 9.75, 7.42, 24.76; 6.06, 4.47 ; 15.88, 14.58, 15.85, P < 0.05 ). After controlling for demographic variables and confounding factors in the generalized estimation equation model, mobile phone dependence ( β =0.11), withdrawal symptoms of mobile phone dependence ( β =0.14), and the physical and mental effects of mobile phone dependence ( β =0.14) were all positively correlated with depressive symptoms ( P <0.01). Further gender analysis showed that depressive symptoms in both boys ( β =0.13, 0.13, 0.18) and girls ( β =0.10, 0.13, 0.13 ) were associated with mobile phone dependence, withdrawal symptoms of mobile phone dependence and the physical and mental effects of mobile phone dependence ( P <0.01). Conclusions Depressive symptoms of college students are positively correlated with mobile phone dependence, and family economic conditions, academic burden and number of close friends are factors that continued to affect depressive symptoms. College students should be guided to pay attention to the impact of excessive use of mobile phones on their physical and mental health, use mobile phones reasonably to reduce the incidence of depressive symptoms among college students.

Abstract Unhealthy eating behaviors among adolescents are common, and psychological behavior problems are prominent. The paper examines the status and associations underlying unhealthy eating behaviors and psychological behavior problems in adolescents from border multi ethnic areas, and further discusses the importance of research in border area involving multi ethnic adolescents, and highlights its significance in the context of constructing healthy schools in border areas,so as to provide a basis for promoting effectively healthy school environments in border areas of China.

Objective: To understand the occurrence and predictive factors of depressive symptoms among multi ethnic middle school students in Yunnan Province, so as to provide a referential framework for schools to carry out targeted mental health education. Methods: From October to December 2022, 8 500 first grade students from 23 middle schools were selected from 11 minority areas in Yunnan Province by cluster random sampling method. Demographic information and data relating to the students lifestyles were collected by questionnaire, and the Children s Depression Inventory (CDI) was used to evaluate depressive symptoms. Chi square test was performed to compare differences in the detection rate of depressive symptoms among first grade middle school students for univariate analysis. A decision tree model of depressive symptoms in middle school students was established by using the Chi squared automatic interaction detector (CHAID). Results: The detection rate of depressive symptoms among first grade students from multi ethnic middle schools in Yunnan Province was 28.26%. The decision tree model of depressive symptoms was academic stress ( χ 2=469.08) at the first level, breakfast behaviors (low/moderate academic stress: χ 2=155.49; severe academic stress: χ 2=105.24) at the second level, and the number of close friends (low/moderate academic stress and consuming breakfast 0- 2 days weekly: χ 2=23.15; low/moderate academic stress and consuming breakfast 3-4 days weekly: χ 2=14.99; severe academic stress and consuming breakfast 0-2 days weekly: χ 2=29.26; severe academic stress and consuming breakfast 3-4 days weekly: χ 2=20.15), ethnicity ( χ 2=78.22) and drinking ( χ 2=50.36) at the third level ( P <0.01). Conclusions The study identifies academic stress, breakfast behaviors, number of close friends, drinking and ethnicity as predictive factors of depressive symptoms among multi ethnic middle school students in Yunnan Province. Schools should develop targeted strategies for preventing and managing depressive symptoms in middle school students, so as to reduce their occurrence.

Objective: To determine the latent class of dietary patterns and their association with depressive symptoms among first grade students from multi ethnic middle schools in Yunnan Province, so as to provide a reference basis for promoting mental health among border middle school students. Methods: A cluster random sampling involving 8 500 first grade middle school students from 11 counties in Yunnan Province was conducted by a questionnaire survey between October to December 2022. The Children s Depression Inventory (CDI) was used to assess the depressive symptoms and the Food Frequency Questionnaire was used to collect eating behavior data. The latent profile analysis model was used to fit the latent class of dietary patterns among students. The association between the dietary pattern latent class and depressive symptoms was analyzed by Logistic regression. Results: The depressive symptom detection rate among firstgrade middle school students was 28.3%. Prevalence of depressive symptom in girls (30.9%) was higher than boys (25.5%) with a statistically significant difference ( χ 2=29.83, P <0.01). The dietary patterns among first grade middle school students were classified into four latent classes, as follows:class 1 (low consumption of all dietary components), class 2 (high consumption of fruit, milk and dairy products), class 3 (high consumption of vegetables and meat, and low consumption of processed foods) and class 4 (low consumption of milk, dairy products and eggs, and high consumption of processed foods). After adjusting for confounding variables, the class 3 dietary pattern was negatively correlated with depressive symptoms ( OR=0.62, 95%CI =0.52-0.74) and the class 4 dietary pattern was positively correlated with depressive symptoms ( OR= 1.28 , 95%CI =1.05-1.57) ( P <0.05), compared with the class 1 dietary pattern. Conclusions Multi ethnic first grade middle school students in Yunnan Province follow various dietary patterns. Unhealthy dietary patterns increase the risk of depressive symptoms. The dietary patterns of multi ethnic middle school students in Yunnan Province should be adjusted to promote the establishment of healthy dietary patterns and reduce the risk of depression symptoms in middle school students.

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.

Objective: To explore the association between processed food consumption and anxiety symptoms among college students in Yunnan Province, so as to provide a reference for the prevention and treatment of anxiety symptoms in this population. Methods: A cluster random sample of 2 515 first year students from two universities in Yunnan Province was selected to carry out a longitudinal investigation which included a baseline survey (November 2021, T1) and three follow up visits (June 2022, T2; November 2022, T3; June 2023, T4). The food frequency questionnaire was administered to assess processed food consumption, and the Depression Anxiety Stress Scale-21 (DASS-21, Chinese version) was used to evaluate anxiety symptoms. A generalized estimation equation model was used to analyze the relationship between processed food consumption and anxiety symptoms. Results: The detection rates of T1-T4 anxiety symptoms among college students in Yunnan Province were 29.70%, 36.70%, 37.69% and 38.73 %, respectively, and the corresponding anxiety symptom scores were 4(0,8), 4(0,10), 4(0,12), 2(0,14). After controlling for demographic variables and confounding factors in the generalized estimation equation model, a statistically significant association was found between consumption of carbonated beverages ( β=0.06, 95%CI =0.03-0.08), and other processed snacks ( β= 0.04 , 95%CI =0.01-0.07) ( P <0.05). The stratified analysis by gender showed that the consumption of carbonated beverages ( β=0.08, 95%CI =0.05-0.12) and fast food ( β=0.03, 95%CI =0.00-0.06) was significantly associated with anxiety symptoms in female college students ( P <0.05). There was no significant association between processed food consumption and anxiety symptoms in male college students ( P >0.05). Conclusions Processed food consumption by college students in Yunnan Province may increase the risk of anxiety symptoms, particularly among female students. There is a need to strengthen guidance in respect to processed food consumption, so as to prevent and treat anxiety symptoms.

Objective: The aim of the present study was to develop the beverage addiction scale for college students,so as to provide an effective tool for assessing college students beverage addiction. Methods: In November 2022, a cluster sample of 8 792 college students from three colleges in Yunnan and Jiangxi were surveyed by Beverage Addication Scale for College Students. After a through literature review, 12 items were proposed, including withdrawal symptoms, health effects and addiction symptoms, with 4 items each. The ttest and correlation analysis were used to filter the items, and exploratory factor analysis and confirmatory factor analysis were used to evaluate the structural validity of the questionnaire. In May 2023, 5 279 college students from the above three universities were surveyed again to evaluate the reliability and validity of the scale and the positive demarcation value of symptoms. Results: The scale fitted into a tool for measuring symptoms of beverage dependence in a college student population. The scale was composed of 11 items in accordance with withdrawal symptoms, health effects and addiction symptoms, with a cumulative contribution rate of variance was 74.51%. Cronbach α coefficients for the overall scale and three dimensions were 0.94, 0.88, 0.90 and 0.92, respectively. The correlation coefficient between each item and the total score ranged from 0.56 to 0.79, and the correlation coefficient with the dimension ranged from 0.71 to 0.92. The confirmatory factor analysis model was well fitted, and the RMSEA, CFI, TLI and SRMR value were 0.06, 0.95, 0.93 and 0.04, respectively. The application of the scale showed that scores on the scale and each dimension ≥P85 were positive for symptoms. Conclusion The reliability and validity of Beverage Addiction Scale for College Students is good, which can be used to evaluate the beverage addiction symptom of college students.

Objective: To explore the relationship between processed food consumption and blood pressure level of students in a university in Yunnan Province, so as to provide the reference for preventing hypertension in university students. Methods: In October 2021, a cluster sampling method was used to select 4 781 freshmen from a university in Kunming, Yunnan Province. The frequency of processed food consumption of university students was assessed by using the dietary frequency questionnaire, and height, weight and blood pressure were measured. Mann-Whitney test and Kruskal-Wallis test were used to compare the differences in blood pressure level of university students with different demographic variables, and the association between processed food consumption and blood pressure level was analyzed with a generalized linear model. Results: Among the students of a university in Yunnan Province, the detection rates of systolic prehypertension and hypertension were 33.86% and 1.23%, and the detection rates of diastolic prehypertension were 32.13% and hypertension 7.22%. The results of generalized linear model analysis showed that after controlling for demographic variables and other variables that might affect the blood pressure level of university students, the consumption of processed food (bread and cake: β =0.15, 95% CI =0.01-0.29) and ultra processed food (coffee beverage: β =-0.29, 95% CI =-0.54--0.03) were associated with systolic blood pressure level( P <0.05). The consumption of processed food (salted duck egg: β =0.21, 95% CI =0.01-0.41) was correlated with the diastolic blood pressure of college students ( P <0.05). Conclusions Processed food consumption in university students may increase the risk of high blood pressure.The education of healthy eating among college students should be strengthened to reduce the consumption of processed foods.

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 study the association between eating at night and skipping breakfast with college students anxiety symptoms, and to provide reference basis for preventing and alleviating college students anxiety symptoms. Methods: A cross sectional survey was conducted among 9 960 freshman from three universities in Kunming and Dali, Yunnan Province. The dietary frequency questionnaire was used to evaluate the dietary behavior of college students. The Depression Anxiety Stress Scale-21 (DASS-21) was used to evaluate the anxiety symptoms of college students. The association of late night snack and breakfast skipping with the association of anxiety symptoms in college students used generalized linear model and Logistic regression model. Results: The proportion of college students who reported eating at night and breakfast skipping in the last month was 72.5%(7 217/9 960) and 61.6%(6 131/9 960) respectively. The detection rate of anxiety symptoms in college students was 28.9%(2 875/9 960). There was a statistical significance between eating at night with anxiety symptoms( OR =1.40-2.54), and breakfast skipping with anxiety symptoms( OR =1.23-1.60)( P <0.05). The interaction between eating late at night and breakfast skipping was positively correlated with college students anxiety symptoms (multiplicative interaction, β=0.06, 95%CI=0.02- 0.10 , P<0.01; additive interaction, OR=2.00, 95%CI=1.59-2.51, P <0.01). Conclusion The study suggests that the college students who eat at night and frequently skipped breakfast are more likely to have anxiety symptoms. It suggested to promote the formation of healthy eating habits of college students, so as to reduce the occurrence of anxiety sympotoms.