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ObjectiveTo investigate developmental trajectory and influencing factors of the demand for community-based elderly services among older residents during 2008 – 2018 in China for evidence-based improvement of elderly service system and promotion of healthy aging. MethodsThe data on 2 454 residents aged 65 years and above at baseline were collected from four waves of the Chinese Longitudinal Healthy Longevity Survey (CLHLS) conducted in 2008, 2011, 2014, and 2018. The demand for community-based elderly services was assessed using an 8-point scale, representing eight care service items that could potentially be provided by communities. Mplus 8.3 was utilized to construct a latent growth modeling (LGM). The unconditional least squares method was employed to assess the trajectory of changes in demand for community-based elderly services without covariates, while a conditional LGM with covariates was developed to analyze the trajectory of changes in the demand and its influencing factors among the elderly population in China from 2008 to 2018. ResultsThe mean overall scores for demand of community-based elderly services among surveyed elder residents in 2008, 2011, 2014, and 2018 were found to be 4.89 ± 2.27, 5.49 ± 1.94, 5.38 ± 2.06 and 5.38 ± 2.06 respectively with no significant difference observed between the yearly scores (P > 0.05). The results of the unconditional LGM analysis results indicate that the quadratic function LGM without constraints is the optimal model for fitting developmental trajectories of item-specific demand for community-based elderly services among older adults from 2008 to 2018. The initial demand was significantly greater than 0 (intercept = 4.91, P < 0.01). The constructed model revealed an upward trend from 2008 to 2011 (slope = 0.38, P < 0.01), followed by a downward trend from 2011 to 2018 (slope = – 0.12, P < 0.01). The results of conditional LGM analysis demonstrated that age (β = 0.026), intercept of marital status (β = 0.260), place of residence (β = – 0.567), and years of education (β = 0.224) significantly influenced the intercept of demand for community-based elderly services among older adults (all P < 0.05). Specifically, both age and years of education positively predicted slope 1 (β1 = 0.021, 0.018, all P < 0.05), while the predictions for slope 2 were not statistically significant (all P > 0.05). Moreover, both the intercept and slope of marital status positively predicted slope 1 (β1 = 0.118，0.021, all P < 0.05), as well as positively predicting slope 2 (β2 = 0.146，0.049, all P < 0.05). Additionally, place of residence had a positive predictive effect on slope 1 and slope 2 (β1 = 0.707，β2 = 0.046, all P < 0.05). ConclusionThe demand for community-based elderly services among elderly residents in China exhibited a non-linear growth trajectory from 2008 to 2018. There were variations in the initial level and rate of growth of this demand, which were influenced by factors such as age, marital status, place of residence, and years of education.

IntroductionTheoretical models of health behavior are important guides for disease prevention and detection, treatment and rehabilitation, and promotion and maintenance of physical and mental health, but there are no intervention studies related to differentiated thyroid cancer (DTC) that use theoretical models of health as a guide. In this study, we used a microblogging platform as an intervention vehicle and mobile patient-doctor interactive health education as a means of intervention, with the aim of improving the health behaviors of DTC patients as well as the corresponding clinical outcomes.MethodsThis research project is a quantitative methodological study, and the trial will be a single-blind, single-center randomized controlled trial conducted at the Fourth Hospital of Harbin Medical University in Harbin, Heilongjiang Province. The study subjects are patients over 18 years of age with differentiated thyroid cancer who were given radioactive iodine-131 therapy as well as endocrine therapy after radical surgery for thyroid cancer. The intervention group will receive MTM-mhealth, and the realization of health education will rely on the smart terminal WeChat platform. Routine discharge education will be given to the control group at discharge. The primary outcome will be change in thyroid-stimulating hormone (TSH) from baseline and at 3 and 6 months of follow-up, and secondary outcomes will include change in self-management behavior, social cognitive and psychological, and metabolic control.DiscussionThis study will explore a feasible mHealth intervention program applied to a population of DTC patients using the Multi-theory model of health behavior change (MTM) as a guide, with the aim of evaluating the MTM-based intervention program for clinical outcome improvement in DTC patients, as well as determining the effectiveness of the MTM-based intervention program in improving self-management skills in DTC patients. The results of this study will indicate the feasibility as well as the effectiveness of the application of health theoretical modeling combined with mHealth applications in disease prognostic health management models, and provide policy recommendations and technological translations for the development of mobility-based health management applications in the field of health management.

PurposeThis study aims to explore and compare Chinese university students’ preferences for various physical activity motivation programs.Patients and methodsA cross-sectional study was conducted in China from February 25 to March 25, 2022. Participants anonymously completed an online questionnaire based on a DCE. A total of 1,358 university students participated in the survey. The conditional logit model (CLM), willingness to accept (WTA), and propensity score matching (PSM) were used to assess college students’ preferences for different attributes and levels of physical activity incentive programs.ResultsRespondents identified the number of bonus, exercise time, and academic rewards as the three most significant attributes of the athletic incentive program. The importance of each attribute varied based on individual characteristics such as gender and BMI. In CLM, college students displayed a preference for a “¥4” bonus amount (OR: 2.04, 95% CI 1.95–2.13), “20 min” of exercise time (OR: 1.85, 95% CI 1.79–1.92), and “bonus points for comprehensive test scores” as academic rewards (OR: 1.33, 95% CI 1.28–1.37). According to the WTA results, college students were willing to accept the highest cost to obtain academic rewards tied to composite test scores.ConclusionThe number of bonus, exercise time, and academic rewards emerge as the three most crucial attributes of physical activity incentive programs. Furthermore, college students with different characteristics exhibit heterogeneity in their preferences for such programs. These findings can guide the development of programs and policies aimed at motivating college students to engage in physical activities.

ObjectiveThe aim of this study is to examine the extent to which individuals’ cognitive evaluation of the importance of the Internet is associated with depressive symptoms, and in what ways.MethodsThis study utilized a sample of 4,100 participants from the fourth (2016), fifth (2018), and sixth (2020) waves of the China Family Panel Studies. Structural equation modeling was employed for data analysis.ResultThe findings of this study reveal that individuals’ cognitive evaluation of the importance of the Internet in 2016 was positively linked with the frequency of Internet use and subjective socioeconomic status in 2018. Furthermore, the frequency of Internet use and subjective socioeconomic status in 2018 were found to be negatively associated with depressive symptoms in 2020. These results indicate that the perceived importance of the Internet has an indirect effect on depressive symptoms through the identified pathway.ConclusionThe present findings contribute to the existing literature by highlighting the importance of individuals’ perceived importance of the internet as a significant factor that influences depressive symptoms. The results suggest that policy makers should take actions to increase public awareness of the importance of the Internet in the digital era, and to ensure equitable access to the internet, thus facilitating convenient internet use and helping individuals adapt to the digital age.