Background: The increasing incidence of gestational diabetes mellitus (GDM) is a global health problem that is more likely to occur in pregnant women with overweight or obesity. Adhering to a healthy lifestyle is associated with a reduced risk of GDM. With the development of IT, mobile health (mHealth) interventions have become widely available in health care. However, there are no definitive conclusions on the effectiveness of mHealth-based lifestyle interventions in preventing GDM. Objective: This study aims to evaluate the impact of mHealth-based lifestyle interventions on GDM and other pregnancy outcomes in pregnant women with overweight or obesity. Methods: A systematic literature search was conducted in 5 English databases (MEDLINE, Embase, Web of Science, CENTRAL, and CINAHL) and 4 Chinese databases (CBM, CNKI, Vip, and Wanfang) to identify randomized controlled trials (RCTs) on the effectiveness of mHealth-based interventions for GDM from inception to January 10, 2023. In total, 2 authors independently screened the studies and extracted the data. The quality of the included studies was examined using the Cochrane risk-of-bias tool. Data synthesis was conducted using Review Manager (version 5.4; The Cochrane Collaboration). Results: A total of 16 RCTs with 7351 participants were included in this study. The included studies were published between 2014 and 2021 and were conducted in China, the United States, Australia, New Zealand, the United Kingdom, Ireland, and Norway. The sample sizes of the studies ranged from 75 to 2202, and the duration of the mHealth-based lifestyle interventions ranged from 4 to 28 weeks. Compared with usual care, mHealth-based lifestyle interventions significantly reduced the incidence of GDM (odds ratio [OR] 0.74, 95% CI 0.56-0.96; P=.03; I2=65%), preterm birth (OR 0.65, 95% CI 0.48-0.87; P=.004; I2=25%), macrosomia (OR 0.59, 95% CI 0.40-0.87; P=.008; I2=59%), and gestational weight gain (mean difference=−1.12 kg, 95% CI −1.44 to −0.80; P<.001; I2=43%). The subgroup analysis showed that interventions delivered via apps (OR 0.55, 95% CI 0.37-0.83; P=.004; I2=44%), provided by obstetricians (OR 0.69, 95% CI 0.51-0.93; P=.02; I2=60%), and targeted at Asian populations (OR 0.44, 95% CI 0.34-0.58; P<.001; I2=0%) and that used the International Association of Diabetes and Pregnancy Study Groups diagnostic criteria (OR 0.58, 95% CI 0.39-0.86; P=.007; I2=69%) showed a statistically significant reduction in the risk of GDM. Conclusions: mHealth-based lifestyle interventions had a favorable impact on the prevention of GDM in pregnant women with overweight and obesity. Future studies need to further explore the potential of mHealth-based interventions for GDM through better design and more rigorous large-scale RCTs. Trial Registration: PROSPERO International Prospective Register of Systematic Reviews CRD42021286995; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=286995

Background: Blood pressure and glycemic control are associated with the management of depressive symptoms in patients with depression. Previous studies have demonstrated that both Tai Chi and aerobic exercise have positive effects on blood pressure and glycemic control. Few studies have compared the physiological effects of Tai Chi versus aerobic exercise in older adults with depressive symptoms. The objective of this study was to compare the effects of Tai Chi and aerobic exercise on weight, body mass index, blood pressure and glycosylated hemoglobin (HbA1c) level in older persons with mild to moderate-severe depressive symptoms. Methods: A randomized controlled trial was performed. The older persons (age ≥ 60 years old) with depressive symptoms were recruited. Then, participants were randomly allocated to the Tai Chi group and the aerobic exercise group received a 12-week 24-movement Yang’s Tai Chi intervention and aerobic exercise, respectively. Data collection occurred at baseline and after completion of the interventions (week 12). Results: A total of 238 participants with mild to moderate-to-severe depressive symptoms were included in the final analysis, including 120 in the Tai Chi group and 118 in the aerobic exercise group. The difference in weight and body mass index in the Tai Chi group was 2.0 kg (Z = -4.930, P < 0.001) and 0.77 kg/m² (Z = -5.046, P < 0.001) higher than that in the aerobic exercise group, respectively. After the 12-week intervention, the systolic pressure and diastolic pressure in the Tai Chi group were 5.50 mmHg (Z = -2.282, P = 0.022) and 8.0 mmHg (Z = -3.360, P = 0.001) lower than that in the aerobic exercise group, respectively. The difference in HbA1c level in the Tai Chi group was 0.50% higher than that in the aerobic exercise group (Z = -4.446, P < 0.001). Conclusion: This study showed that Tai Chi exercise was more effective in improving blood pressure and HbA1c level than general aerobic exercise. It suggested that Tai Chi might be an effective approach for the management of blood pressure and long-term glucose control in older persons with depressive symptoms. Trial registration: Trial registration: ChiCTR, ChiCTR2100042534. Registration date: 23/01/2021, http://www.chictr.org.cn/showproj.aspx?proj=120602.

COVID-19-related lockdown measures have been affecting children’s weight status and weight-related behaviors, which are often associated with an increase in childhood obesity. However, large-scale longitudinal studies are lacking. Our study aimed to analyze changes in obesity and weight-related behaviors in Chinese children before and during the COVID-19 pandemic and provide references for addressing the high prevalence of childhood obesity. A prospective multi-center longitudinal survey was conducted among Chinese children (n = 5963), collecting data on weight status, COVID-19-related measures, and lifestyle behaviors. Changes were assessed using t-tests and χ² tests for paired samples, or the Wilcoxon signed-rank test, according to the type and distribution of data. The Generalized Estimating Equations model was used to explore influential factors of obesity. The prevalence of overweight and obesity increased from 9.2% and 8.6% before the pandemic to 10.5% and 10.6% during the pandemic (p < 0.001), respectively. Daily physical activity, sleep duration, and sugar-sweetened beverage consumption decreased while screen time increased. The results of the generalized estimating equations showed that ethnic minority, older age, less daily physical activity, reduced sleep duration, and longer screen time were positively associated with obesity. There is an intensifying trend of obesity in children in the context of the COVID-19 pandemic, to which altered weight-related behaviors might have contributed largely. Maintaining a healthy lifestyle, especially in social crises, should be highlighted to ease the burden of childhood obesity.

Background: Women in perimenopause are vulnerable to depressive symptoms, and physical activity was reported to be a potential protective factor. The trajectories of physical activity and depressive symptoms over time and their longitudinal relationships in Chinese perimenopausal women have not been explored yet, leaving a research gap hindering us from better understanding and managing perimenopause depressive symptoms. Methods: A multi-center prospective longitudinal study was conducted in four cities in Sichuan Province, China. Depressive symptoms and physical activity in perimenopausal women were collected in March 2019, June 2019, September 2019, and December 2019, respectively. Multivariable linear regression by generalized estimation equation was used to identify the relevant factors associated with depressive symptoms and physical activity. A four-wave autoregressive and cross-lagged panel model was performed to explore their longitudinal relationships. Results: A total of 1875 women who completed the four-wave data collection were included in the data analysis. Depressive symptoms exacerbated over time and were associated with women’s age, monthly income, marital status, chronic disease, and negative life events. Physical activity decreased over time and was associated with educational background and monthly income. According to the cross-lagged panel model, perimenopausal women with more severe depressive symptoms tended to be less physically active, and similarly, perimenopausal women with less physical activity were more prone to report more severe depressive symptoms. Conclusion: The cross-lagged panel model disclosed longitudinal bidirectional relationships between depressive symptoms and physical activity in perimenopausal women. Appropriate physical activity should be recommended for perimenopausal women to improve their mental well-being. Tailored physical activity duration and maintenance measures should be proposed based on different sociodemographic statuses.

To explore the relationships between second-trimester anthropometric obesity indicators and cesarean section (CS). A retrospective study was conducted at West China Second University Hospital, utilizing electronic health records from 15,304 pregnant women who received routine prenatal care and delivered between January 2021 and June 2022. Second-trimester anthropometric indicators, including body roundness index (BRI), body mass index (BMI), body fat percentage (BFP), and waist circumference (WC), were measured using bioelectrical impedance analysis (BIA). Logistic regression models were employed to assess the associations between these indicators and CS risk, with additional subgroup analyses based on maternal age and fetal sex. The mean maternal age was 30.13 years. After adjusting for covariates, BRI (OR 1.22, 95%CI 1.15–1.30), BMI (OR 1.07, 95%CI 1.05–1.08), BFP (OR 1.03, 95%CI 1.02–1.04), and WC (OR 1.02, 95%CI 1.01–1.03) were all significantly associated with CS. Stratified analyses based on maternal age and fetal sex further confirmed these independent associations. Second-trimester BRI, BMI, BFP, and WC were all significantly associated with CS risk, with BRI potentially demonstrating the strongest independent correlation. An integrated approach incorporating BMI and WC is recommended for CS risk, particularly in time-sensitive or resource-limited settings. The effect of anthropometric changes during pregnancy on CS may be explored in the future.