A longitudinal approach with Latent Growth Curve Modeling (LGCM) was adopted to explore the trajectories of appetitive traits corresponding to BMI in Chinese adolescents. Within a large sample of adolescents (N = 2566, 45.9% boys) aged from 11 to 17 years (M = 13.80, SD = 1.56) at the baseline survey, our results indicated that appetitive traits of emotional overeating, food fussiness, and hunger increased significantly over time while enjoyment of food decreased over time. Slowness in eating and satiety responsiveness significantly increased in girls, while emotional undereating significantly decreased in boys. Moreover, the growth parameters of emotional undereating and satiety responsiveness were significantly and negatively related to BMI in girls. Our findings evidence that certain appetitive traits could change over time in adolescence and these changes relate to weight status. Gender differences are suggested in the design of future intervention and treatment of overweight/ obesity in Chinese adolescents.

The co-occurrence and interplay between body mass index (BMI), body dissatisfaction, body appreciation, and body image inflexibility have yet to be fully understood. To address this gap, we employed network analysis (NA), a statistical approach that can uncover complex patterns of relationships between variables and identify the core symptoms of the network. A regularized partial correlation network was estimated for 1065 Chinese young adult participants (226 men, Mage = 18.90 years, SD = 0.99, range: 18-25 years; 839 women, Mage = 18.90, SD = 0.96, range: 18-23 years). We used a modularity-based algorithm to identify network communities and estimated both central symptoms and symptoms that bridge these communities. We also tested for gender differences within the identified communities. Items related to self-evaluation of the body (e.g., stomach and thigh size) from body dissatisfaction and BMI were clustered into one community, while body appreciation, body image inflexibility, and the rest of the body dissatisfaction items were clustered into distinct communities based on the measures they come from. The NA results revealed that negative opinions about body shape, coupled with body image inflexibility, might play crucial roles in bridging other communities in the network. We also observed minor gender differences in bridging effects of body appreciation. Our findings provide empirical evidence of the interconnections between BMI, body dissatisfaction, body appreciation, and body image inflexibility in Chinese young adults, highlighting the essential role of self-evaluation of the body and body image inflexibility in this network for future clinical implications.

IntroductionMotivation to be physically active and sedentary is a transient state that varies in response to previous behavior. It is not known: (a) if motivational states vary from morning to evening, (b) if they are related to feeling states (arousal/hedonic tone), and (c) whether they predict current behavior and intentions. The primary purpose of this study was to determine if motivation states vary across the day and in what pattern. Thirty adults from the United States were recruited from Amazon MTurk.MethodsParticipants completed 6 identical online surveys each day for 8 days beginning after waking and every 2–3 h thereafter until bedtime. Participants completed: (a) the CRAVE scale (Right now version) to measure motivation states for Move and Rest, (b) Feeling Scale, (c) Felt Arousal Scale, and (d) surveys about current movement behavior (e.g., currently sitting, standing, laying down) and intentions for exercise and sleep. Of these, 21 participants (mean age 37.7 y; 52.4% female) had complete and valid data.ResultsVisual inspection of data determined that: a) motivation states varied widely across the day, and b) most participants had a single wave cycle each day. Hierarchical linear modelling revealed that there were significant linear and quadratic time trends for both Move and Rest. Move peaked near 1500 h when Rest was at its nadir. Cosinor analysis determined that the functional waveform was circadian for Move for 81% of participants and 62% for Rest. Pleasure/displeasure and arousal independently predicted motivation states (all p's < .001), but arousal had an association twice as large. Eating, exercise and sleep behaviors, especially those over 2 h before assessment, predicted current motivation states. Move-motivation predicted current body position (e.g., laying down, sitting, walking) and intentions for exercise and sleep more consistently than rest, with the strongest prediction of behaviors planned for the next 30 min.DiscussionWhile these data must be replicated with a larger sample, results suggest that motivation states to be active or sedentary have a circadian waveform for most people and influence future behavioral intentions. These novel results highlight the need to rethink the traditional approaches typically utilized to increase physical activity levels.

We consider classical and Bayesian procedures for estimating the parameters of the power Lindley distribution based on hybrid censored data. By unifying the likelihood function under the hybrid censoring scheme, we consider the maximum likelihood estimators (MLEs) and develop an expectation-maximization algorithm to find the MLEs. We adopt the asymptotic distribution of the MLEs to construct approximate confidence intervals. We then study Bayesian estimators and the credible intervals of the parameters under appropriate choices of prior distributions. Lindley's approximation method and Markov chain Monte Carlo sampling algorithm are also provided to evaluate these Bayesian estimators. The finite sample performances of these estimation methods are investigated using simulation studies and a real data example.

OBJECTIVE:Previous studies have revealed associations between disordered eating symptoms, big-five personality traits, and psychological distress. However, limited research has explored these relationships as a network, including their interconnections, and even less has done so in non-Western populations. We employed network analysis to investigate the co-occurrence of disordered eating symptoms, big-five personality traits, and psychological distress in Chinese adults.METHOD:A sample of 500 Chinese adults (256 men) completed measures assessing big-five personality traits, psychological distress, and disordered eating symptoms. The network of personality traits, psychological distress, and disordered eating symptoms was estimated, including its central and bridge nodes.RESULTS:The central nodes in the network were the facets of openness (like adventure), extraversion (like going to social and recreational parties), and disordered eating symptoms (dissatisfaction with body weight or shape). Moreover, certain facets of neuroticism (always worrying something bad will happen), psychological distress (feeling worthless), and an inverse facet of extraversion (bored by parties with lots of people) were identified as essential bridge nodes in maintaining the structure of the network.CONCLUSION:Our findings suggest that personality traits (e.g., openness and extraversion) and body dissatisfaction are important in maintaining the network in a community sample of Chinese adults. While future replication is needed, findings from this study suggest that individuals with negative self-thinking, predisposed neuroticism, and extraversion may be at risk of developing disordered eating symptoms.PUBLIC SIGNIFICANCE:The present study contributes to existing knowledge by employing a network perspective to examine the associations between disordered eating symptoms, big-five personality traits, and psychological distress in a Chinese adult community sample. The identified facets of neuroticism and extraversion and symptoms of psychological distress may be worthy of targeting in the prevention and treatment of disordered eating in the Chinese context.

This paper presents a new approach to constructing the confidence interval for the mean value of a population when the distribution is unknown and the sample size is small, called the Percentile Data Construction Method (PDCM). A simulation was conducted to compare the performance of the PDCM confidence interval with those generated by the Percentile Bootstrap (PB) and Normal Theory (NT) methods. Both the convergence probability and average interval width criterion are considered when seeking to find the best interval. The results show that the PDCM outperforms both the PB and NT methods when the sample size is less than 30 or a large population variance exists.

In this paper, a novel early warning system that has usually been applied to predict the financial stress events is established to predict the likelihood of housing price crises in China. To achieve this goal, a signal extraction approach is used to monitor the evolution of a number of economic indicators that tend to exhibit the abnormal behaviors. 13 economic variables were selected as the individual indicators, and constructed as the four comprehensive indicators. Our empirical work shows that the early warning system for urban housing price crises is suitable for China’s four province-level municipalities. The in-sample forecasting results indicate the reliability of the early warning system for urban housing price crises. By studying the out-of-sample forecasting results, the likelihood of housing price crises for the four cities can be effectively predicted. We construct a novel weighted average comprehensive indicator, which performs better than the three others in terms of overall performance across all of the criteria considered in. It is shown that the extended system is more flexible in decision making than the traditional early warning system.

In this paper, a novel early warning system that has usually been applied to predict the financial stress events is established to predict the likelihood of housing price crises in China. To achieve this goal, a signal extraction approach is used to monitor the evolution of a number of economic indicators that tend to exhibit the abnormal behaviors. 13 economic variables were selected as the individual indicators, and constructed as the four comprehensive indicators. Our empirical work shows that the early warning system for urban housing price crises is suitable for China's four province-level municipalities. The in-sample forecasting results indicate the reliability of the early warning system for urban housing price crises. By studying the out-of-sample forecasting results, the likelihood of housing price crises for the four cities can be effectively predicted. We construct a novel weighted average comprehensive indicator, which performs better than the three others in terms of overall performance across all of the criteria considered in. It is shown that the extended system is more flexible in decision making than the traditional early warning system.

OBJECTIVEThis study examined the bidirectional relationships between sleep quality, loss of control (LOC) eating, and night eating in Chinese adolescents using longitudinal data over an 18-month study period.METHODFour-waves of data measurement (Waves 1-4), at 6-month intervals, were conducted with 2566 adolescents aged 11-17 years at baseline. A set of questionnaires were used to assess night eating, LOC eating, and sleep quality at each wave of data collection. Cross-lagged models were applied to analyze the bidirectional relationships between night eating, LOC eating, and sleep quality.RESULTSResults indicated that higher night eating scores consistently predicted poorer sleep quality and higher LOC eating scores at Waves 1, 2, and 3. Furthermore, poorer sleep quality predicted higher night eating scores at Wave 1 and Wave 3, and higher LOC eating scores predicted higher night eating scores at Wave 1 and Wave 2.DISCUSSIONThese findings highlight that night eating, LOC eating, and sleep quality were interrelated across time in Chinese adolescents. Improving sleep quality and reducing LOC eating might be promising in the prevention of night eating in adolescents. Similarly, reducing night eating might be promising in improving sleep quality and reducing LOC eating in adolescents.PUBLIC SIGNIFICANCEThis study explored the bidirectional relationship between night eating, LOC eating, and sleep quality in Chinese adolescents using cross-lagged models. Findings indicate bidirectional relationships between these variables and highlight the potential utility in incorporating sleep, LOC eating, and night eating interventions in eating pathology prevention designs for adolescents.

Periodontitis disproportionately affects different racial and ethnic populations. In this study, we used qPCR to determine and compare oral microbial profiles in dental plaque samples from 191 periodontitis patients of different ethnic/racial backgrounds. We also obtained the periodontal parameters of these patients retrospectively using axiUm and performed statistical analysis using SAS 9.4. We found that in this patient cohort, neighborhood median incomes were significantly higher among Caucasians Americans (CAs) than among African Americans (AAs) and Hispanic Americans (HAs). Levels of total bacteria and Porphyromonas gingivalis, a keystone periodontal pathogen, were not evenly distributed among the three groups. We confirmed our previous findings that Streptococcus cristatus reduces P. gingivalis virulence potential and likely serves as a beneficial bacterium. We also showed the ratio of S. cristatus to P. gingivalis to be significantly higher in CAs than in HAs and AAs. Our results suggest that higher levels of P. gingivalis and lower ratios of S. cristatus to P. gingivalis may contribute to periodontal health disparities.

The purpose of this study was to explore the patterns of Chinese adolescents? activity preferences as well as the predictors and associations with the actual time spent on physical and sedentary activities. With the data set derived from the China Health and Nutrition Survey (CHNS), latent class analysis (LCA) was employed to analyze data of 501 adolescents in the age range of 12?17 years old. The results showed that three distinct groups of activity preferences were identified: like all (21.6%, n = 108), like media more than sports (52.9%, n = 265), and like none (25.5%, n = 128). Major predictors for activity preferences included residence, sleeping hours, dietary knowledge, and life attitudes. The results revealed that adolescents in different patterns had statistically significant differences in the weekly participating time on physical activities (e.g. martial arts, track and field/ running/swimming, walking, soccer/basketball/tennis, badminton/volleyball, and other/ping pong/Tai Chi) as well as sedentary activities (e.g. watching TV, watching movies and videos online, surfing internet, chatting online, playing computer/smartphone games, doing homework, playing toy cars/puppets/board games, engaging in extracurricular reading/writing/drawing) among the three latent classes. Implications and future research directions are discussed.

The psychometric properties of the Chinese version of the Body Image Acceptance and Action Questionnaire (C-BI-AAQ) and its short form (C-BI-AAQ-5) were examined with a sample of Chinese undergraduates (n = 1,068, 52.6% female). The factor structure, measurement reliability, measurement invariance across gender, and latent gender mean difference of the two scales were explored. Confirmatory factor analysis was used to examine the factor structure of the C-BI-AAQ and the C-BI-AAQ-5. The original one-factor structure was replicated for both the C-BI-AAQ and the C-BI-AAQ-5. Both the C-BI-AAQ and C-BI-AAQ-5 showed good internal consistency, test-retest reliability, and convergent and discriminant validity (e.g., relationship patterns in the expected directions with theoretically similar psychological flexibility, and with theoretically dissimilar body dissatisfaction, and psychological distress). The C-BI-AAQ-5 was shown to be equivalent to the C-BI-AAQ. Furthermore, strict measurement invariance across gender was confirmed for both the C-BI-AAQ and C-BI-AAQ-5, and latent mean difference tests showed that men had higher levels of body image flexibility than women. Thus, both the C-BI-AAQ and C-BI-AAQ-5 appear to be psychometrically sound instruments for use in the Chinese young adult population. In addition, body image flexibility measured by both the C-BI-AAQ and the C-BI-AAQ-5 fully mediated the relationship between body dissatisfaction and psychological distress.

The purpose of this study was to explore the patterns and stability of, as well as the predictors for, Chinese adults' food preferences. With the panel data set derived from the China Health and Nutrition Survey (CHNS), latent class analysis (LCA) and latent transition analysis (LTA) were employed to analyze the data of 8850 adults aged 18-40 years (young), 41-60 years (middle-aged) and 61 years above (elderly) over a 4-year period (year 2011 as baseline and year 2015 as follow-up). Latent class analysis revealed three types of food preferences: preference for fruits and vegetables, preference for a varied diet and low food preference. Gender, dietary knowledge, residence, education, and BMI were revealed as significant predictors of the class memberships. From baseline to follow-up, the most stable status in young adult group was preference for fruits and vegetables as it had a high transition probability 0.764 of remaining in the same class. While low food preference and preference for a varied diet statuses were unstable, they had transition probabilities of 0.590 and 0.554, respectively, moving to the preference for fruits and vegetables in year 2015. For middle-aged and elderly groups, the most stable and unstable statuses were preference for fruits and vegetables and preference for a varied diet, respectively. The unstable classes all had over 50% probability of moving to the preference for fruits and vegetables after four years. Potential explanations and implications are also discussed.