Research into CUP-VISAR velocity reconstruction based on weighted DRUNet and total variation joint optimization.

This Letter proposes a CUP-VISAR data reconstruction algorithm for laser-driven inertial confinement fusion (ICF) research. The algorithm combines weighted deep residual U-Net (DRUNet) and joint optimization with total variation (TV) to improve shockwave velocity fringe image reconstruction. The simulation results demonstrate that the proposed algorithm outperforms the ADMM-TV and enhanced 3D total variation (E-3DTV) algorithms, enhancing the quality of the reconstructed images and thereby improving the accuracy of velocity field calculations. Furthermore, it addresses the challenges of the high compression ratio caused by the diagnostic requirements of the larger number of sampling frames in the CUP-VISAR system and the issues of aliasing within a large encoding aperture. The proposed algorithm demonstrates good robustness to noise, ensuring reliable reconstruction even under Gaussian noise with a relative intensity of 0.05. This algorithm contributes to ICF diagnostics in complex environmental conditions and has theoretical significance and practical application value for achieving controlled thermonuclear fusion.

Nonalcoholic fatty liver disease (NAFLD) detection and deep learning in a Chinese community-based population.

OBJECTIVES: We aimed to develop and validate a deep learning system (DLS) by using an auxiliary section that extracts and outputs specific ultrasound diagnostic features to improve the explainable, clinical relevant utility of using DLS for detecting NAFLD. METHODS: In a community-based study of 4144 participants with abdominal ultrasound scan in Hangzhou, China, we sampled 928 (617 [66.5%] females, mean age: 56 years ± 13 [standard deviation]) participants (2 images per participant) to develop and validate DLS, a two-section neural network (2S-NNet). Radiologists' consensus diagnosis classified hepatic steatosis as none steatosis, mild, moderate, and severe. We also explored the NAFLD detection performance of six one-section neural network models and five fatty liver indices on our data set. We further evaluated the influence of participants' characteristics on the correctness of 2S-NNet by logistic regression. RESULTS: Area under the curve (AUROC) of 2S-NNet for hepatic steatosis was 0.90 for ≥ mild, 0.85 for ≥ moderate, and 0.93 for severe steatosis, and was 0.90 for NAFLD presence, 0.84 for moderate to severe NAFLD, and 0.93 for severe NAFLD. The AUROC of NAFLD severity was 0.88 for 2S-NNet, and 0.79-0.86 for one-section models. The AUROC of NAFLD presence was 0.90 for 2S-NNet, and 0.54-0.82 for fatty liver indices. Age, sex, body mass index, diabetes, fibrosis-4 index, android fat ratio, and skeletal muscle via dual-energy X-ray absorptiometry had no significant impact on the correctness of 2S-NNet (p > 0.05). CONCLUSIONS: By using two-section design, 2S-NNet had improved the performance for detecting NAFLD with more explainable, clinical relevant utility than using one-section design. KEY POINTS: • Based on the consensus review derived from radiologists, our DLS (2S-NNet) had an AUROC of 0.88 by using two-section design and yielded better performance for detecting NAFLD than using one-section design with more explainable, clinical relevant utility. • The 2S-NNet outperformed five fatty liver indices with the highest AUROCs (0.84-0.93 vs. 0.54-0.82) for different NAFLD severity screening, indicating screening utility of deep learning-based radiology may perform better than blood biomarker panels in epidemiology. • The correctness of 2S-NNet was not significantly influenced by individual's characteristics, including age, sex, body mass index, diabetes, fibrosis-4 index, android fat ratio, and skeletal muscle via dual-energy X-ray absorptiometry.

Western organizational change capacity theory and its application to public health organizations in China: A multiple case analysis.

As health reform becomes a crucial task for both Chinese and United States government, public health organizations are required to adopt changes based on reform policy. Organizational Change Capacity theory is a Western theory that indicates the capacities that organizations should possess when pursuing successful organizational change. This study seeks to understand the applicability of this theory to Chinese public health organizations by contrasting organizations that have achieved success or remained challenged in implementing organizational change to optimize health reform. The research questions are: Is the Organizational Change Capacity theory applicable in Chinese public health organizations? How should it be modified to best fit Chinese public health organizations? Seventy-two participants from 12 public health organizations in Beijing and Xi'an were recruited for interviews and follow-up questionnaires that asked for experiences during their organizational changes. During the analysis, a new Chinese Organizational Change Capacity theory with nine main themes emerged. This new framework provides a guideline for Chinese public health organizations to evaluate their change capacity, and offers a theoretical foundation for researchers to design interventions that increase these organizations' capacity in achieving successful change.

Cross-sectional and longitudinal associations between body flexibility and sarcopenia.

BACKGROUND: The associations between body flexibility and sarcopenia were not well understood. This study aimed to explore the cross-sectional and longitudinal associations of flexibility with sarcopenia. METHODS: Our study selected participants aged 50-80 from the WELL-China cohort and the Lanxi cohort. Participants from the urban area of the Lanxi cohort were followed up 4 years later. Body flexibility was measured by the sit-and-reach test. Muscle mass was evaluated by dual-energy X-ray absorptiometry. Muscle strength was evaluated using handgrip strength. Sarcopenia was defined as having both low muscle mass and low muscle strength. We used multivariable logistic regressions to assess the cross-sectional associations of body flexibility with low muscle mass, low muscle strength and sarcopenia. We also used multivariable logistic regressions to explore the associations of baseline flexibility and 4-year changes in flexibility with incident low muscle mass, low muscle strength and sarcopenia. RESULTS: A total of 9453 participants were enrolled in the cross-sectional study, and 1233 participants were included in the longitudinal analyses. In the cross-sectional analyses, compared with low body flexibility, high body flexibility was inversely associated with low muscle mass (odds ratio [OR], 0.58; 95% confidence interval [CI], 0.50-0.68; P < 0.001), low muscle strength (OR, 0.62; 95% CI, 0.55-0.69; P < 0.001) and sarcopenia (OR, 0.52; 95% CI, 0.41-0.65; P < 0.001), and these associations did not differ in different age groups, sex or physical activity levels. In the longitudinal analyses, compared with participants with low body flexibility, participants with high body flexibility had lower risk of the incident low muscle strength (OR, 0.53; 95% CI, 0.38-0.74; P < 0.001) and sarcopenia (OR, 0.36; 95% CI, 0.21-0.61; P < 0.001), but not incident low muscle mass (OR, 0.59; 95% CI, 0.33-1.06; P = 0.076). Every 1-cm increase in flexibility during 4 years was associated with reduced risk of incident low muscle mass (OR, 0.96; 95% CI, 0.93-1.00; P = 0.025), low muscle strength (OR, 0.96; 95% CI, 0.94-0.98; P = 0.002) and sarcopenia (OR, 0.96; 95% CI, 0.93-0.99; P = 0.007). CONCLUSIONS: High flexibility was associated with reduced risk of incident low muscle strength and sarcopenia. Increases in flexibility were associated with reduced risk of incident low muscle mass, low muscle strength and sarcopenia. Flexibility exercises and monitoring the dynamic change of flexibility might be helpful in preventing sarcopenia among adults aged 50 years or over.

Associations of eating speed with fat distribution and body shape vary in different age groups and obesity status.

BACKGROUND: Eating speed has been reported to be associated with energy intake, body weight, waist circumference (WC), and total body fat. However, no study has explored the association between eating speed and body fat distribution, especially its difference among different age or body mass index (BMI) groups. METHODS: 4770 participants aged 18-80 years were recruited from the baseline survey of the Lanxi Cohort Study. They were categorized into three groups according to meal duration. Linear regression analyses were performed among all participants and separately by age group and obesity status to evaluate the associations of WC and total and regional fat mass percentages (FM%) with eating speed. RESULTS: After adjusting for confounding factors, eating slowly was significantly related to lower WC, lower total, trunk, and android FM%, lower android-to-gynoid fat mass ratio, and higher leg and gynoid FM%. After stratification by age or obesity status, the associations were especially prominent among participants aged 18-44 years or those with BMI < 24 kg/m2. No significant trends were found for participants aged 65-80 years or those who were overweight/obese. CONCLUSIONS: Eating slowly is closely related with better fat distribution among Chinese adults, especially for those aged 18-44 years and those with BMI < 24 kg/m2. If confirmed prospectively, it might be a potential efficient approach to improve fat distribution.

Changes in lifestyles and depressive symptom among patients with chronic diseases during COVID-19 lockdown.

This study aims to investigate the impact of COVID-19 lockdown on lifestyle behaviors and depressive symptom among patients with NCDs (noncommunicable diseases). We incorporated a COVID-19 survey to the WELL China cohort, a prospective cohort study with the baseline survey conducted 8-16 months before the COVID-19 outbreak in Hangzhou, China. The COVID-19 survey was carried out to collect information on lifestyle and depressive symptom during lockdown. A total of 3327 participants were included in the COVID-19 survey, including 2098 (63.1%) reported having NCDs at baseline and 1457 (44%) without NCDs. The prevalence of current drinkers decreased from 42.9% before COVID-19 lockdown to 23.7% during lockdown, current smokers from 15.9 to 13.5%, and poor sleepers from 23.9 to 15.3%, while low physical activity increased from 13.4 to 25.2%, among participants with NCDs (P < 0.05 for all comparisons using McNemar's test). Participants with NCDs were more likely than those without to have depressive symptom (OR, 1.30; 95% CI 1.05-1.61), especially among those who need to refill their medication during the COVID-19 lockdown (OR, 1.52; 95% CI 1.15-2.02). Our findings provide insight into the development of targeted interventions to better prepare patients with NCDs and healthcare system to meet the challenge of future pandemic and lockdown.

Daytime napping is associated with retinal microcirculation: a large population-based study in China.

STUDY OBJECTIVES: To investigate the association between daytime napping and retinal microcirculation. METHODS: This is a cross-sectional study from a prospective population-based cohort. 2,662 participants were recruited after quota sampling. Information on napping was collected through face-to-face interviews. Retinal vascular calibers (RVCs), including central retinal arteriolar equivalent (CRAE), central retinal venular equivalent (CRVE), and arterio-to-venous ratio (AVR), were obtained from fundus photography. Multivariate regression and restricted cubic spline curve were performed to determine the association between RVCs and daytime napping duration. RESULTS: 56.4% participants reported daytime napping regularly. Compared to no nap, daytime nap was related to higher CRAE, with nap duration of 0.5-1 h showing the most significant association. 0.5-1 h daytime nappers displayed an average of 4.18 µm (95% confidence interval [CI] 2.45-5.91, p < 0.001) wider CRAE than non-nappers after adjustment. No significant association was found between CRVE and daytime napping. Moreover, individuals with 0.5-1 h daytime napping had a lower risk for AVR reduction (odds ratio [OR] 0.70, 95% confidence interval [CI] 0.56-0.86, p = 0.001) than non-nappers. Similar association persisted in non-hypertensive population. Restricted cubic spline indicated a J-shaped relationship between AVR reduction and nap duration. CONCLUSION: Retinal microcirculation was positively associated with self-reported 0.5-1 h daytime napping. Better indicators of retinal microcirculation were probably related to nap duration in a J-shaped manner. Also, the possibly beneficial role of 0.5-1 h daytime napping on retinal microcirculation might be independent of clinically diagnosed vascular diseases.

Contemplative Practices Behavior Is Positively Associated with Well-Being in Three Global Multi-Regional Stanford WELL for Life Cohorts.

Positive associations between well-being and a single contemplative practice (e.g., mindfulness meditation) are well documented, yet prior work may have underestimated the strength of the association by omitting consideration of multiple and/or alternative contemplative practices. Moreover, little is known about how contemplative practice behavior (CPB) impacts different dimensions of well-being. This study investigates the relationship of CPB, consisting of four discrete practices (embodied somatic-observing, non-reactive mindfulness, self-compassion, and compassion for others), with multiple dimensions of well-being. As with other canonical lifestyle behaviors, multiple contemplative practices can be integrated into one's daily routine. Thus, it is critical to holistically consider these behaviors, extending them beyond a simple uni-dimensional measure (e.g., daily mindfulness meditation practice). We developed an integrative measure of four types of contemplative practice and found it to be significantly associated with a multi-dimensional measure of well-being. Importantly, our findings were from three large global multi-regional cohorts and compared against better-understood lifestyle behaviors (physical activity). Data were drawn from California/San Francisco Bay Area, (n = 6442), Hangzhou City (n = 10,268), and New Taipei City (n = 3033). In all three cohorts, we found statistically significant (p < 0.05) positive associations between CPB and well-being, both overall and with all of the constituent domains of well-being, comparable to or stronger than the relationship with physical activity across most well-being outcomes. These findings provide robust and cross-cultural evidence for a positive association between CPB and well-being, illuminate dimensions of well-being that could be most influenced by CPB, and suggest CPB may be useful to include as part of fundamental lifestyle recommendations for health and well-being.

The online-to-offline (O2O) food delivery industry and its recent development in China.

This paper offers a unique perspective about the development of the online-to-offline (O2O) food delivery industry from 2017 to 2019 in China. This study demonstrates the latest transformation and improvements of the O2O market that address some common problems in the early stages of the development of this raising industry in China. New strategies and regulations from the O2O platforms, food providers, and national and local governments are discussed. In our view, the mission of the O2O industry in general has shifted from pursuing enormous quantity to ensuring high quality. China's O2O food delivery industry warrants further attention and studies as it grows and develops into the future. We suggest future studies to work on its economic, behavioral, and health impacts on population level as it encompasses both great risks and rewards.

Metabolomic Profiles of Plasma Retinol-Associated Dyslipidemia in Men and Women.

Background and Aims: Studies of both animals and humans show that a high intake of vitamin A is associated with a lower risk of dyslipidemia. However, an association of plasma retinol levels with dyslipidemia is unclear. Therefore, the aim of this study is to investigate an association between plasma retinol and dyslipidemia and to identify related metabolites and pathways in the general population. Methods: We included 250 participants aged 20-80 years from the Wellness Living Laboratory (WELL) China cohort. Associations between plasma retinol levels and dyslipidemia were analyzed using adjusted logistic models. Related metabolites were identified using ANCOVA, adjusted for the false discovery rate (FDR) and used for pathway analyses. Because there are sex differences in plasma retinol levels, all analyses were conducted separately by sex. Results: Plasma retinol was significantly higher in men than in women. A positive association between plasma retinol and dyslipidemia was found in both sexes. In men, the 2nd and 3rd tertiles showed significantly higher proportions of dyslipidemia than the 1st tertile (1st tertile vs. 2nd tertile: p = 0.026; 1st tertile vs. 3rd tertile: p = 0.003). In women, the 3rd tertile showed a significantly higher proportion of dyslipidemia than the 1st and 2nd tertile (3rd tertile vs. 1st tertile: p = 0.002, 3rd tertile vs. 2nd tertile: p = 0.002). Overall, 75 and 30 metabolites were significantly associated with retinol levels in men and women, respectively. According to these metabolites, lipid metabolic pathways, including glycerophospholipid, arachidonic acid, linoleic acid, alpha-linolenic acid, and glycosylphosphatidylinositol (GPI), as well as steroid hormone biosynthesis pathways were found to overlap across the sexes. These pathways showed that elevated retinol levels might be associated with hormone metabolism and inflammation status. Conclusions: We found a positive association between plasma retinol levels and dyslipidemia. Related metabolomic profiles and interrupted pathways showed that such an increase might be associated with steroid hormone synthesis and inflammation. In addition, large, population-based longitudinal studies and intervention studies are needed to confirm the role of retinol in lipid metabolism and the prevention of cardiovascular disease (CVD).

Drinking tea before menopause is associated with higher bone mineral density in postmenopausal women.

BACKGROUND: Though tea drinking years and menopause stages have been indicated to be related with bone mineral density (BMD), most human studies have not considered the impact of tea drinking beginning time. Whether drinking tea before or after menopause plays a role in BMD is still unclear. This study aims to analyze whether drinking tea before or after menopause influences BMD in Chinese postmenopausal women. METHODS: A total of 1377 postmenopausal women under 80 years were enrolled from the baseline survey of the Lanxi Cohort Study. Participants were initially categorized into non-tea drinking, tea drinking beginning after menopause and tea drinking beginning before menopause groups. Tea drinking groups were subdivided according to tea drinking frequency, concentration and type. Multiple linear regression models were applied to evaluate associations between tea drinking before or after menopause and BMD and the impacts of tea drinking frequency, concentration and type on their associations in analyses including all participants. Interactions of tea drinking frequency, concentration and type with drinking tea before or after menopause were further analyzed. RESULTS: After adjusting for confounding factors, women who began drinking tea before menopause had significantly higher total and regional BMD than non-tea drinking participants and participants who began drinking tea after menopause. Differences in spine BMD were more significant among those who drank tea ≥four times per week. In addition, significant associations between tea drinking and BMD were found among participants who began drinking tea before menopause in both models, irrespective of the concentration and type of tea. No significant associations were found in subgroups of participants who began drinking tea after menopause in either model. CONCLUSIONS: The results indicate that drinking tea before menopause is related to higher BMD in Chinese postmenopausal women. The relationship is independent of tea drinking concentration and type.

A double-edged sword: the association of daytime napping duration and metabolism related diseases in a Chinese population.

BACKGROUND: Some studies have suggested that daytime napping may increase the risk of type 2 diabetes. However, limited data have revealed the association between nap duration and other metabolic diseases. Data from the baseline survey of Lanxi Cohort Study, a population-based study of natural residents in Zhejiang Province, China, were used to investigate the relationship between nap duration and metabolic abnormalities. METHODS: A total of 3236 participants underwent a physical examination, laboratory tests, and face to face interview. They were categorized into four groups according to nap duration. Logistic regression models were used to examine the odds ratios (ORs) of napping duration with four metabolism-related diseases. Stratified analysis was further used to explore the interaction effects of gender and age on results. RESULTS: Compared to the no daytime napping group, people who napped during the daytime for more than 1 h were independently associated with a greater prevalence of diabetes (OR 1.56). Those who napped during the daytime within a half hour showed a lower prevalence of fatty liver, dyslipidemia, and central obesity. To be more specific, those who habitually napped during the daytime for more than 1 h exhibited an increasing prevalence of diabetes among female older than 50 years old. Those who habitually napped during the daytime within a half hour exhibited a decreasing prevalence of fatty liver and dyslipidemia among male <50 years old, and that of central obesity among female <50 years old. CONCLUSIONS: Short daytime napping duration is associate with reduced rate of metabolism-related diseases and may protects people from negative health conditions, whereas long daytime napping duration is associate with higher prevalence of diabetes, which then can be harmful for health.

Characterization of dietary patterns and assessment of their relationships with metabolomic profiles: A community-based study.

BACKGROUND & AIMS: Determining dietary patterns in China is challenging due to lack of external validation and objective measurements. We aimed to characterize dietary patterns in a community-based population and to validate these patterns using external validation cohort and metabolomic profiles. DESIGN: We studied 5145 participants, aged 18-80 years, from two districts of Hangzhou, China. We used one district as the discovery cohort (N = 2521) and the other as the external validation cohort (N = 2624). We identified dietary patterns using a k-means clustering. Associations between dietary patterns and metabolic conditions were analyzed using adjusted logistic models. We assessed relationships between metabolomic profile and dietary patterns in 214 participants with metabolomics data. RESULTS: We identified three dietary patterns: the traditional (rice-based), the mixed (rich in dairy products, eggs, nuts, etc.), and the high-alcohol diets. Relative to the traditional diet, the mixed (ORadj = 1.7, CI 1.3-2.4) and the high-alcohol diets (ORadj = 1.9, CI 1.3-2.7) were associated with type 2 diabetes and hypertension, respectively. Similar results were confirmed in the external validation cohort. In addition, we also identified 18 and 22 metabolites that could distinguish the mixed (error rate = 12%; AUC = 96%) and traditional diets (error rate = 19%; AUC = 88%) from the high-alcohol diet. CONCLUSIONS: Despite the complexity of Chinese diet, identifying dietary patterns helps distinguish groups of individuals with high risk of metabolic diseases, which can also be validated by external population and metabolomic profiles.

Association between contact with a general practitioner and depressive symptoms during the COVID-19 pandemic and lockdown: a large community-based study in Hangzhou, China.

OBJECTIVES: To determine the association of general practitioner (GP) contact with depressive symptoms during the COVID-19 pandemic and lockdown in China. DESIGN: In April 2020, a follow-up survey was conducted on the basis of a baseline survey conducted between October 2018 and May 2019. SETTING: The survey was embedded in the Stanford Wellness Living Laboratory-China (WELL China) study, an ongoing prospective community-based cohort study during 2018-2019. PARTICIPANTS: The survey was conducted by telephone interview among 4144 adult urban residents participating in the WELL China study at baseline. We collected information on sociodemographic characteristics, depressive symptoms and GP contact during the lockdown period (February to March 2020). PRIMARY AND SECONDARY OUTCOME MEASURES: Depressive symptoms were measured using the WHO-Five Well-being Index, comprising five questionnaire items that briefly indicate psychological well-being. Logistic regression models were applied to assess the association between GP contact and depressive symptoms. RESULTS: In total, 3356 participants responded to the survey; 203 were excluded owing to missing data on depressive symptoms, leaving 3153 participants in the present study. During lockdown, 449 participants had GP contact. GP contact was significantly negatively associated with prevalent depressive symptoms (OR, 0.67; 95% CI 0.51 to 0.89; p<0.01) and incident depressive symptoms (OR 0.68; 95% CI 0.51 to 0.93; p<0.05). Stratified analysis showed a significant negative association between depressive symptoms and GP contact in individuals who were 45-64 years old (p<0.01), had a middle or high education (p<0.01) and had self-reported non-communicable diseases (p<0.05). CONCLUSIONS: Contact with GPs during the COVID-19 pandemic and lockdowns may have a negative association with depressive symptoms in community-dwelling populations. Given the possibility of further surges in COVID-19 infections, GPs' contact in the community should be enhanced.

Multiplicity and complexity of food environment in China: full-scale field census of food outlets in a typical district.

OBJECTIVES: Community food environment is closely associated with residents' health status, and it has received substantial research attention in recent years. However, such studies are sparse in China. This study aims to reveal the characteristics of food environment in China. SUBJECTS: A ground-truthing field census of food outlets was conducted in Xi Hu district, Hangzhou. A novel categorizing system was developed to better characterize food outlets in the study area. Geocoding and food environment analysis were performed by Arc-GIS software. RESULTS: A total of 9274 food outlets were identified, of these, 6161 (66.43%) were food service places and 3113 (33.57%) were food stores. Fast-food restaurants (2692) and convenience stores (1764) were the two most numerous outlet types. The density of food outlets was 29.72/km2 and 113.97/10,000 people. Availability of BMI-unhealthy food outlets was four times greater than that of BMI-healthy ones. Further, 41.86% of total food outlets provided food-delivery services; among them, fast-food restaurants were the highest (65.53%) providers. In the urban area, the average density of food outlets was 104/km2. While, it was only 29/km2 in the rural area. CONCLUSIONS: Availability of food outlets was excellent in our study area, though it showed regional imbalance. Food environment tends to be obesogenic and high prevalence of food delivery service might increase this trend. Thus, policy makers should guarantee the smooth development of catering industry in China, so as to ensure a balanced nutrition environment.

Low muscle mass and low muscle strength associate with nonalcoholic fatty liver disease.

BACKGROUND: It is unclear whether low muscle mass and low muscle strength are independently or jointly associated with nonalcoholic fatty liver disease (NAFLD). Hence, the aim of the present study was to investigate the associations of NAFLD with low muscle mass, low muscle strength, sarcopenia, and sarcopenic obesity. METHODS: A total of 5132 participants aged 18-80 years were recruited in this cross-sectional study. NAFLD was diagnosed using ultrasound. Muscle mass was evaluated using skeletal muscle mass index and muscle strength was evaluated using weight-adjusted hand grip strength. Sarcopenia was defined as the presence of both low muscle mass and low muscle strength. Sarcopenic obesity was defined as the presence of both sarcopenia and obesity. Multivariate logistic regression models were used to explore the associations of NAFLD with low muscle mass, low muscle strength, sarcopenia, and sarcopenic obesity. RESULTS: Low muscle mass and low muscle strength were positively and independently associated with NAFLD (mass: odds ratio [OR], 2.57; 95% confidence interval [CI], 2.03-3.25; strength: OR, 1.47; 95% CI, 1.21-1.80). Compared with low muscle mass or low muscle strength alone, sarcopenia was associated with a higher risk of NAFLD (OR, 3.91; 95% CI, 2.90-5.28). Whether obesity was defined by body mass index (BMI) or waist circumference (WC), sarcopenic obesity was associated with a higher risk of NAFLD (BMI: OR, 10.42; 95% CI, 7.14-15.22; WC: OR, 11.64; 95% CI, 8.22-16.48) than sarcopenia or obesity alone. CONCLUSIONS: Low muscle mass and low muscle strength were positively and independently associated with NAFLD. When both were presented in the sarcopenic state, the risk of NAFLD was higher, and a concurrence of sarcopenia and obesity showed the highest risk of NAFLD.

Dry eye and sleep quality: a large community-based study in Hangzhou.

STUDY OBJECTIVES: To investigate the relationship between dry eye and sleep quality in a large community-based Chinese population. METHODS: A total of 3,070 participants aged 18-80 were recruited from a community-based study in Hangzhou, China during 2016-2017. Sleep quality was evaluated using the Chinese version of the Pittsburgh Sleep Quality Index (CPSQI), and dry eye was evaluated using the Ocular Surface Disease Index (OSDI) questionnaire. Multivariable linear regression and logistic regression models were used to investigate the associations, adjusting for age, smoking, drinking, season, and other potential confounders. RESULTS: Overall, CPSQI score and sleep dysfunction were significantly associated with mild, moderate, and severe dry eye (ORs for CPSQI score: 1.07, 1.13, 1.14, all p < 0.001; for sleep dysfunction: 1.31, 1.73, 1.66, all p < 0.05). Furthermore, worse OSDI score was presented in participants with worse CPSQI score or sleep dysfunction (CPSQI score > 7) (ß: 0.13, 0.54; all p < 0.001). In addition, six of the seven components of CPSQI showed significant associations with dry eye (all p < 0.001), except for the component of sleep medication use. Moreover, we observed significant associations of dry eye in all three subscales of OSDI with CPSQI score and sleep dysfunction. CONCLUSION: Our large, community-based study showed a strong association between poor sleep quality and an increased severity of dry eye, suggesting that preventing either one of the discomforts might alleviate the other.

Associations Between Body Fat, Muscle Mass, and Nonalcoholic Fatty Liver Disease: A Population-Based Study.

Nonalcoholic fatty liver disease (NAFLD) is one of the most common forms of liver disease worldwide and has emerged as a significant public health concern in China. A better understanding of the etiology of NAFLD can inform effective management strategies for this disease. We examined factors associated with NAFLD in two districts of Hangzhou, China, focusing on the relationship of regional body fat distribution, muscle mass, and NAFLD. We used baseline data to carry out a cross-sectional analysis among 3,589 participants from the Wellness Living Laboratory (WELL) China study, a longitudinal population-based study that aims to investigate and promote well-being among the Chinese population. NAFLD was defined using the widely validated fatty liver index (FLI). Multivariate logistic regressions were performed to assess independent associations between NAFLD and metabolic risk factors (e.g., insulin resistance) and dual x-ray absorptiometry (DXA)-derived measures (e.g., android fat ratio [AFR] and skeletal muscle index [SMI]). Of the 3,589 participants, 476 (13.3%) were classified as having FLI-defined NAFLD (FLI ≥60). Among those, 58.0% were men. According to our analysis, AFR (odds ratio [OR], 10.0; 95% confidence interval [CI], 5.8-18.5), insulin resistance (OR, 4.0; 95% CI, 3.0-5.3), high alanine aminotransferase levels (OR, 7.6; 95% CI, 5.8-10.0), smoking (OR, 2.0; 95% CI, 1.4-3.0), and male sex (OR, 2.9; 95% CI, 2.0-4.2) were positively associated with NAFLD risk, while SMI (OR, 0.1; 95% CI, 0.07-0.13) was inversely associated with NAFLD risk. Conclusion: In addition to known metabolic risk factors, DXA-derived AFR and SMI may provide additional insights to the understanding of NAFLD. Interventions that aim to decrease AFR and increase SMI may be important to reduce the burden of NAFLD in this population.

Cohort profile: the Lanxi Cohort study on obesity and obesity-related non-communicable diseases in China.

PURPOSE: The Lanxi Cohort was established to systematically investigate the aetiology and interplay of body fat distribution and multiple factors with obesity and obesity-related non-communicable diseases in China. PARTICIPANTS: The baseline investigation of the Lanxi Cohort study took place between June 2015 and August 2017 in Lanxi, Zhejiang Province, China. Permanent residents from one urban community and four rural villages were involved in this study. The baseline investigation included questionnaire survey, physical examination, dual-energy X-ray absorptiometry (DXA) scan, blood samples collection and traditional Chinese medicine (TCM) inquiry. FINDINGS TO DATA: A total of 5132 participants, aged 18 to 80 years, were recruited at baseline; among them, 38.7% were men and 64.8% were from the urban area. The mean age was 53.04±12.77 years. The completion rates of physical examination, DXA scan, blood collection and TCM inquiry were 99.9%, 98.5%, 99.9% and 96.5%, respectively. The mean body mass index (BMI) was 23.42±3.20 kg/m2 with 8.1% of the study population being obese (BMI ≥28 kg/m2). The crude prevalence of hypertension, diabetes and metabolic syndrome were 34.9%, 10.0% and 30.4%, respectively. FUTURE PLANS: All participants will be monitored annually for cause-specific mortality and morbidity and hospital admission and will be followed up by in-person survey every 4 years. The baseline population is considered to expand in the future depending on the availability of funding support. ETHICS APPROVAL: This study was approved by the Ethical Committee of the School of Public Health, Zhejiang University.

How we eat determines what we become: opportunities and challenges brought by food delivery industry in a changing world in China.

Rapid economic growth and urbanization have brought notable changes in China. This trend had dramatic impacts to food industry and diet-related behaviors, which leads to increasing prevalence of overweight and obesity as well as diet-related non-communicable diseases (NCDs). With a rapid development of internet and e-commerce market, another emerging trend that should not be overlooked is the change in food shopping habits induced by the popularity of online-to-offline (O2O) food delivery service in China. The O2O food market is a booming industry in China, the market scale of O2O food industry is increasing with remarkable speed. More than 1/5 of total population in China has already became the users of O2O food delivery market. Development of this new trend in food environment is inevitable. This game-changing trend brings great opportunities to improve food accessibility and availability but meanwhile poses inevitable challenges to the whole public health system and social environment in China. This paper offers a unique perspective of the opportunities and challenges that the new industry brings to food environment, health outcomes caused by related behavior change, and its broader influence on social environment.