Jian Zhang

A LISREL model that incorporates both social and psychological factors was used to explain Chinese and American college students' suicide ideation. Questionnaire data were obtained from one Chinese sample (N = 320) from four universities in Beijing and one American sample (N = 452) from one university in the Rocky Mountain area. As in the American sample, Chinese females score higher on the ideation scale than Chinese males, but the overall rate is lower for the Chinese than for the American college students. The findings in the American data support previous literature that family cohesion and religiosity are inversely related to suicide ideation, while the Chinese data suggest a positive correlation between religiosity and suicide ideation. This article offers a comparison of different cultural environments for Chinese and American adolescent development.

CONTEXT: Few studies of US adults have specifically examined body size satisfaction OBJECTIVES: Describe correlates of body size satisfaction and examine whether satisfaction was associated with trying to lose weight or specific weight control practices among US adults using a national sample of women and men. DESIGN, SETTING & PARTICIPANTS: The National Physical Activity and Weight Loss Survey (NPAWLS) was a population-based, cross-sectional telephone survey of US adults (n = 9740). MAIN OUTCOME MEASURES: Participants reported their weight, height, body size satisfaction, and weight loss practices. Adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were calculated for each dependent variable. RESULTS: Among women and men, higher body mass index (BMI) was significantly associated with body size dissatisfaction. Dissatisfaction, compared with being very satisfied, was positively associated with trying to lose weight among women and men. This association was modified by BMI for women (OR normal weight = 19.69, overweight = 8.79, obese = 4.05; P < .01 for interaction) but not men (OR normal weight = 8.72, overweight = 10.50, obese = 7.86; P = 0.93 for interaction). Compared with women who were very satisfied, dissatisfied women used diet more (OR = 2.03), but not physical activity/exercise (OR = 0.55) or both strategies (OR = 0.63), to try to lose weight. Men who were somewhat satisfied, compared with those who were very satisfied, were more likely to use physical activity/exercise (OR = 1.64) and both diet and physical activity/exercise (OR = 1.54) to try to lose weight. CONCLUSION: These findings highlight the sex differences in body size satisfaction, actions taken to try to lose weight, and the importance of considering body size satisfaction when designing weight-management programs.

The digital twin (DT) is a concept widely used in industry to create digital replicas of physical objects or systems. The dynamic, bi-directional link between the physical entity and its digital counterpart enables a real-time update of the digital entity. It can predict perturbations related to the physical object's function. The obvious applications of DTs in healthcare and medicine are extremely attractive prospects that have the potential to revolutionize patient diagnosis and treatment. However, challenges including technical obstacles, biological heterogeneity, and ethical considerations make it difficult to achieve the desired goal. Advances in multi-modal deep learning methods, embodied AI agents, and the metaverse may mitigate some difficulties. Here, we discuss the basic concepts underlying DTs, the requirements for implementing DTs in medicine, and their current and potential healthcare uses. We also provide our perspective on five hallmarks for a healthcare DT system to advance research in this field.

Reproductive health is a significant public health issue during pandemics; however, the impacts of the novel 2019 coronavirus disease (COVID-19) on noninfected pregnant women are still unknown. This study intends (1) to examine whether emotional eating (EE) occurred during the pandemic triggered by disease concerns and (2) to explore the associations among EE, dietary changes, and gestational weight gain (GWG). Based on an online survey, 640 new mothers who experienced the lockdown in their third trimester were recruited from seven provinces in China. EE was evaluated with the Chinese version of the Dutch Eating Behavior Questionnaire, EE domain. A self-designed e-questionnaire was used to collect the data of participants on the sociodemographic characteristics, concerns about the COVID-19 pandemic, maternity information, physical activities, and dietary changes during lockdown. The results show that the average EE score was 26.5 ± 8.3, and women living in a severely affected area, who are very worried about the pandemic and who had less physical activity had a higher tendency of EE. Although there is a dietary pattern changed during pandemic, the average GWG in the studied group was in the normal range. However, a higher EE score was associated with a significant excess of GWG in women not from Wuhan (EE score 33-65 vs. 13-22: adjusted Odd Ratio (OR), 95% Confidence Interval (CI) = 1.90, 1.08-3.32). The sensitivity analysis that additionally adjusted for the pregestational body mass index and gestational metabolic disease was consistent with this result. The mediation model was also examined and showed that, after adjusting for living area and exercise, EE was associated with significantly increased consumption of cereals (EE score 33-65 vs. 13-22: adjusted OR, 95% CI = 2.22, 1.29-3.82) and oil (EE score 33-65 vs. 13-22: adjusted OR, 95% CI = 3.03, 1.06-8.69) but decreased consumption of fish and seafood (EE score 33-65 vs. 13-22: adjusted OR, 95% CI = 1.88, 1.14-3.11; 23-32 vs. 13-22: adjusted OR, 95% CI = 1.79, 1.20-2.66). In conclusion, this study indicated that EE occurred in a proportional number of pregnant women during the COVID-19 pandemic and is associated with excess GWG mediated by increased intake of certain foods. The findings suggest the need for psychosocial and nutritional education and interventions during pregnancy checkups. Further studies are needed to determine modifiable psychosocial predictors and potential nutritional concerns in pregnant women during disease outbreaks.