Current Assessment of Weight, Dietary and Physical Activity Behaviors among Middle and High School Students in Shanghai, China-A 2019 Cross-Sectional Study

The effects of nutrition education on nutritional knowledge and dietary behaviours in primary school students in Zhongshan city

BACKGROUND

Adequate nutritional knowledge and healthy dietary behaviours are essential for promoting rational nutrition for children. However, lack of nutritional knowledge and unhealthy dietary behaviours are common among Chinese children. Therefore, we developed a school-based nutrition education (NE) program to assess its impacts on nutritional knowledge and dietary behaviours in pupils.

METHODS

In this trial, one school was assigned as an intervention group (n = 199) and the other two schools were designated as a control group (n = 140). Children in the intervention group received the NE program in addition to their regular health curriculum, whereas the control group continued with their usual health curriculum without any NE program materials.

RESULTS

Concerning nutritional knowledge, the mean difference (follow-up minus baseline) of average knowledge scores in the intervention group was significantly higher than that in the control group (1.99 ± 3.22 vs. 0.66 ± 3.60, p = 0.001). However, subgroup analysis revealed that this difference disappeared among boys and students with malnutrition status. Regarding dietary behaviours, the NE program significantly increased the proportion of children exhibiting high frequencies of meat and nuts consumption in the intervention group, along with diverse food choice at breakfast. Additionally, it markedly reduced the proportion of children exhibiting high frequencies of sugar-sweetened beverages and fast food consumption. Structural equation modelling analyses indicated a significant direct effect of NE intervention on nutritional knowledge and an indirect effect on dietary behaviours.

CONCLUSIONS

The NE program effectively enhanced nutritional knowledge scores and further improved dietary behaviours among Chinese primary school students. Future NE programs should pay more attention to boys and children with malnutrition.

Exploring the Link between Lifestyle, Inflammation, and Insulin Resistance through an Improved Healthy Living Index

Lifestyle factors-such as diet, physical activity (PA), smoking, and alcohol consumption-have a significant impact on mortality as well as healthcare costs. Moreover, they play a crucial role in the development of type 2 diabetes mellitus (DM2). There also seems to be a link between lifestyle behaviours and insulin resistance, which is often a precursor of DM2. This study uses an enhanced Healthy Living Index (HLI) integrating accelerometric data and an Ecological Momentary Assessment (EMA) to explore differences in lifestyle between insulin-sensitive (IS) and insulin-resistant (IR) individuals. Moreover, it explores the association between lifestyle behaviours and inflammation. Analysing data from 99 participants of the mPRIME study (57 women and 42 men; mean age 49.8 years), we calculated HLI scores-ranging from 0 to 4- based on adherence to specific low-risk lifestyle behaviours, including non-smoking, adhering to a healthy diet, maximally moderate alcohol consumption, and meeting World Health Organization (WHO) PA guidelines. Insulin sensitivity was assessed using a Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) and C-reactive protein (CRP) levels were used as a proxy for inflammation. Lifestyle behaviours, represented by HLI scores, were significantly different between IS and IR individuals (U = 1529.0; p = 0.023). The difference in the HLI score between IR and IS individuals was mainly driven by lower adherence to PA recommendations in the IR group. Moreover, reduced PA was linked to increased CRP levels in the IR group (r = -0.368, p = 0.014). Our findings suggest that enhancing PA, especially among individuals with impaired insulin resistance, holds significant promise as a preventive strategy.

Unhealthy lifestyles and clusters status among 3637 adolescents aged 11-23 years: a school-based cross-sectional study in China

BACKGROUND

Unhealthy lifestyles are risk factors for non-communicable diseases (NCDs) and tend to be clustered, with a trajectory that extends from adolescence to adulthood. This study investigated the association of diets, tobacco, alcohol, physical activity (PA), screen time (ST) and sleep duration (SD) in a total of six lifestyles, separately and as cumulative lifestyle scores, with sociodemographic characteristics among school-aged adolescents in the Chinese city of Zhengzhou.

METHODS

In the aggregate, 3,637 adolescents aged 11-23 years were included in the study. The questionnaire collected data on socio-demographic characteristics and lifestyles. Healthy and unhealthy lifestyles were identified and scored, depending on the individual score (0 and 1 for healthy and unhealthy lifestyles respectively), with a total score between 0 and 6. Based on the sum of the dichotomous scores, the number of unhealthy lifestyles was calculated and divided into three clusters (0-1, 2-3, 4-6). Chi-square test was used to analyze the group difference of lifestyles and demographic characteristics, and multivariate logistic regression was used to explore the associations between demographic characteristics and the clustering status of unhealthy lifestyles.

RESULTS

Among all participants, the prevalence of unhealthy lifestyles was: 86.4% for diet, 14.5% for alcohol, 6.0% for tobacco, 72.2% for PA, 42.3% for ST and 63.9% for SD. Students who were in university, female, lived in country (OR = 1.725, 95% CI: 1.241-2.398), had low number of close friends (1-2: OR = 2.110, 95% CI: 1.428-3.117; 3-5: OR = 1.601, 95% CI: 1.168-2.195), and had moderate family income (OR = 1.771, 95% CI: 1.208-2.596) were more likely to develop unhealthy lifestyles. In total, unhealthy lifestyles remain highly prevalent among Chinese adolescents.

CONCLUSION

In the future, the establishment of an effective public health policy may improve the lifestyle profile of adolescents. Based on the lifestyle characteristics of different populations reported in our findings, lifestyle optimization can be more efficiently integrated into the daily lives of adolescents. Moreover, it is essential to conduct well-designed prospective studies on adolescents.

Gender differences in the associations between body mass index, depression, anxiety, and stress among endocrinologists in China

BACKGROUND

Depression, anxiety, and stress symptoms have been found to be associated with overweight or obesity, but the gender differences in the associations have not been well-examined. Based on a national sample of endocrinologists in China, we examined such associations with a focus on gender differences.

METHODS

Data were collected from endocrinologists in China using an online questionnaire, which included demographic data, body weight, and height. Depression, anxiety, and stress symptoms were assessed using the Depression, Anxiety, and Stress Scale-21 (DASS-21).

RESULTS

In total, 679 endocrinologists (174 males and 505 females) completed the survey. One-fourth (25.6%) were classified as overweight, with a significant gender difference (48.9% in males vs. 17.6% in females, p < 0.05). Overall, 43.4% of the participants endorsed probable depressive symptoms (54.6% in males and 39.6% in females, p = 0.004), 47.6% for anxiety (51.7% in males vs. 46.1% in females, p = 0.203), and 29.6% for stress symptoms (34.5% in males vs. 27.92% in females, p = 0.102). After controlling for confounders, in the whole group, male gender (aOR = 4.07, 95% CI:2.70-6.14, p < 0.001), depression (aOR = 1.05, 95% CI:1.00-1.10, p = 0.034) and age (aOR = 1.03, 95% CI:1.00-1.05, p = 0.018) were positively associated with overweight. In males, depression (aOR = 1.14, 95% CI:1.05-1.25, p = 0.002), administration position (aOR = 4.36, 95% CI:1.69-11.24, p = 0.002), and night shifts/month (aOR = 1.26, 95% CI:1.06-1.49, p = 0.008) were positively associated with overweight, while anxiety (aOR = 0.90, 95% CI:0.82-0.98, p = 0.020) was negatively associated with overweight. In females, only age (aOR = 1.04, 95% CI:1.01-1.07, p = 0.014) was significantly associated with overweight status, while depression and anxiety were not associated with overweight. Stress symptoms were not associated with overweight in either gender.

CONCLUSIONS

One-fourth of endocrinologists in China are overweight, with a rate in males nearly triple the one in females. Depression and anxiety are significantly associated with overweight in males but not females. This suggests possible differences in the mechanism. Our findings also highlight the need to screen depression and overweight in male physicians and the importance of developing gender-specific interventions.

Body Weight, Weight Self-Perception, Weight Teasing and Their Association with Health Behaviors among Chinese Adolescents-The Shanghai Youth Health Behavior Survey

Weight-related status has been associated with the physical and psychological health of adolescents. This cross-sectional study evaluated three different kinds of weight-related statuses (Body Mass Index (BMI), weight self-perception and weight teasing from others) among Chinese adolescents and identified their associations with health risk behaviors (lack of healthy dietary behavior, unhealthy dietary behavior, binge eating behavior, lack of physical activity (PA), sedentary behaviors (SB) and sleep disturbance). A stratified random cluster sampling method was used to select 10,070 students aged 11−18 years old from schools in Shanghai. Self-reported questionnaires were collected, weight-related statuses were divided into three categories and six specific health risk behaviors were classified into two groups: positive or negative. Overall, 27.82% of the adolescents were classified as being overweight and obese (35.61% of boys and 18.21% of girls), 43.45% perceived themselves as too heavy and 30.46% experienced weight teasing in the past. Among overweight or obese participants, 50.55% have been teased about their weight, and 77.48% perceived themselves as too heavy. Weight perception and weight teasing were significantly associated with health risk behaviors rather than the actual body weight status based on BMI, especially regarding binge eating behavior (body weight status (BMI): p > 0.05, underweight perception: OR = 1.18, 95%CI 1.03−1.34; weight teasing for more than once a year: OR = 2.00, 95%CI 1.76−2.27). In addition, weight perception and weight teasing were significantly associated with health risk behaviors, mainly in normal and overweight/obese groups but not in underweight groups. Weight teasing and weight self-perception play an independent and stronger role than actual body weight in the health behaviors of adolescents. This calls for more attention and intervention to reduce peer bullying and stigmas on weight among adolescents.