Effects of high-intensity intermittent exercise on glucose and lipid metabolism in type 2 diabetes patients: a systematic review and meta-analysis.

Objective: To evaluate the effects of high-intensity interval training (HIIT) on glycolipid metabolism among type 2 diabetes patients. Methods: HIIT is consistent with an exercise program (65%-90%VO2max or 75%-95% HRmax; exercise cycle≥2 weeks; frequency ≥ 2 times/week). A meta-analysis was conducted utilizing the random effects model to synthesize the data. Results: A total of 22 RCT studies with 1034 diabetic patients were included. Compared to moderate-intensity aerobic exercise or conventional controls, HIIT yields noteworthy effects on FBG (MD: -0.55; 95% CI: -0.85- -0.25, Hedges' g =0.98), 2h-PG (MD: -0.36; 95% CI: -0.57- -0.14, Hedges' g =1.05), FINS (MD: -0.41; 95% CI: -0.79- -0.03, Hedges' g =1.07), HbA1c (MD: -0.60; 95% CI: -0.84- -0.36, Hedges' g =2.69), TC (MD: -0.58; 95% CI: -0.80- -0.36, Hedges' g =2.36), TG (MD: -0.50; 95% CI: -0.86- -0.14, Hedges' g =1.50), HDL (MD: 0.62; 95% CI: 0.29-0.95, Hedges' g =1.19) and LDL (MD: -0.31; 95% CI: -0.56- -0.08, Hedges' g =0.91), all of the above p<0.01. Conclusions: HIIT has been shown to improve glucose and lipid metabolism in patients with type 2 diabetes, especially in HbA1c, TC, TG, and HDL. For patients between the ages of 40 and 60 with less than 5 years of disease, exercise programs of moderate to longer duration or moderate to high intensity will produce more favorable results.

Multifunctional 2-bit coded reconfigurable metasurface based on graphene-vanadium dioxide.

In this paper, a graphene-vanadium dioxide-based reconfigurable metasurface unit structure is proposed. Using the change at a graphene Fermi energy level on the surface of the unit structure to satisfy the 2-bit coding condition, four reflection units with a phase difference of 90 ∘ can be discovered. The modulating impact of the multi-beam reflection wave with 1-bit coding is then confirmed. Then we study the control of a single-beam reflected wave by metasurfaces combined with a convolution theorem in a 2-bit coding mode. Finally, when vanadium dioxide is in an insulating condition, the structure can also be transformed into a terahertz absorber. It is possible to switch between a reflection beam controller and a terahertz multifrequency absorber simply by changing the temperature of the vanadium dioxide layer without retooling a new metasurface. Moreover, compared with the 1-bit coded metasurface, it increases the ability of single-beam regulation, which makes the device more powerful for beam regulation.

Independent and combined associations of handgrip strength and walking speed with cognitive function in older adults: evidence from a national cross-sectional study.

OBJECTIVES: Although there have been studies on the association of handgrip strength or walking speed alone with cognitive abilities, few studies have determined the combined associations of handgrip strength and walking speed with cognitive function. Therefore we aimed to explore the independent and combined associations of handgrip strength and walking speed with cognitive function in Chinese older adults using a nationally representative sample. METHOD: This cross-sectional study included 4,577 adults aged 60 and older. Handgrip strength was measured using a dynamometer and walking speed was assessed using a 2.5-meter walking test. Both handgrip strength and walking speed were organized into low, normal, and high tertiles according to the sample distribution. Cognitive function was measured using the Telephone Interview for Cognitive Status. RESULTS: Handgrip strength and walking speed were significantly associated with cognitive function. Participants with low handgrip strength or low walking speed separately had a higher rate of lower cognitive function (adjusted odds ratio (OR): 1.22 (95% CI: 1.04 - 1.44) for low handgrip strength; 1.54 (95% CI: 1.31 - 1.81) for low walking speed). Those with both low handgrip strength and low walking speed had an additively higher rate of lower cognitive function (adjusted OR: 1.72 (95% CI: 1.32 - 2.24)). CONCLUSION: Having low handgrip strength or low walking speed is associated with a greater likelihood of lower cognitive function and vice versa. The concurrence of having low handgrip strength and low walking speed has an additive effect on cognitive function in older adults.

Separate and combined associations of obesity and handgrip strength with cognitive function in older adults: A national cross-sectional study in China.

This study examined the separate and combined associations of obesity and handgrip strength with cognitive function in older adults. In total 4,839 older adults were included in this cross-sectional study, and their body mass index (BMI) and handgrip strength were measured. Cognitive function was evaluated using the Telephone Interview for Cognitive Status. Three individual categories were created for BMI (normal weight: 18.5≤ BMI < 24.0 kg/m2 overweight: 24.0≤ BMI < 28.0 kg/m2 and obesity: BMI ≥ 28.0 kg/m2 and handgrip strength (low, normal, and high tertiles), and then these categories were pooled together. Logistic regression analyses were used to examine the individual and combined associations of obesity and handgrip strength with cognitive function. Results indicated that overweight adults had a lower rate of lower cognitive function than normal weight adults. There was an inverse association between handgrip strength and cognitive function. Participants with overweight and high handgrip strength had a lower likelihood of lower cognitive function compared to those with normal weight and normal handgrip strength. The findings suggested that overweight or high handgrip strength was associated with lower odds of cognitive decline. Moreover, the concurrence of overweight and high handgrip strength had an additive effect on cognitive function in older adults.

Spatio-temporal data prediction of multiple air pollutants in multi-cities based on 4D digraph convolutional neural network.

In response to the problem that current multi-city multi-pollutant prediction methods based on one-dimensional undirected graph neural network models cannot accurately reflect the two-dimensional spatial correlations and directedness, this study proposes a four-dimensional directed graph model that can capture the two-dimensional spatial directed information and node correlation information related to multiple factors, as well as extract temporal correlation information at different times. Firstly, A four-dimensional directed GCN model with directed information graph in two-dimensional space was established based on the geographical location of the city. Secondly, Spectral decomposition and tensor operations were then applied to the two-dimensional directed information graph to obtain the graph Fourier coefficients and graph Fourier basis. Thirdly, the graph filter of the four-dimensional directed GCN model was further improved and optimized. Finally, an LSTM network architecture was introduced to construct the four-dimensional directed GCN-LSTM model for synchronous extraction of spatio-temporal information and prediction of atmospheric pollutant concentrations. The study uses the 2020 atmospheric six-parameter data of the Taihu Lake city cluster and applies canonical correlation analysis to confirm the data's temporal, spatial, and multi-factor correlations. Through experimentation, it is verified that the proposed 4D-DGCN-LSTM model achieves a MAE reduction of 1.12%, 4.91%, 5.62%, and 11.67% compared with the 4D-DGCN, GCN-LSTM, GCN, and LSTM models, respectively, indicating the good performance of the 4D-DGCN-LSTM model in predicting multiple types of atmospheric pollutants in various cities.

Dapagliflozin protects against chronic heart failure in mice by inhibiting macrophage-mediated inflammation, independent of SGLT2.

The specific mechanism of sodium-glucose cotransporter 2 (SGLT2) inhibitor in heart failure (HF) needs to be elucidated. In this study, we use SGLT2-global-knockout (KO) mice to assess the mechanism of SGLT2 inhibitor on HF. Dapagliflozin ameliorates both myocardial infarction (MI)- and transverse aortic constriction (TAC)-induced HF. Global SGLT2 deficiency does not exert protection against adverse remodeling in both MI- and TAC-induced HF models. Dapagliflozin blurs MI- and TAC-induced HF phenotypes in SGLT2-KO mice. Dapagliflozin causes major changes in cardiac fibrosis and inflammation. Based on single-cell RNA sequencing, dapagliflozin causes significant differences in the gene expression profile of macrophages and fibroblasts. Moreover, dapagliflozin directly inhibits macrophage inflammation, thereby suppressing cardiac fibroblasts activation. The cardio-protection of dapagliflozin is blurred in mice treated with a C-C chemokine receptor type 2 antagonist. Taken together, the protective effects of dapagliflozin against HF are independent of SGLT2, and macrophage inhibition is the main target of dapagliflozin against HF.

Lake eutrophication prediction based on improved MIMO-DD-3Q Learning.

As for the problem that the traditional single depth prediction model has poor strain capacity to the prediction results of time series data when predicting lake eutrophication, this study takes the multi-factor water quality data affecting lake eutrophication as the main research object. A deep reinforcement learning model is proposed, which can realize the mutual conversion of water quality data prediction models at different times, select the optimal prediction strategy of lake eutrophication at the current time according to its own continuous learning, and improve the reinforcement learning algorithm. Firstly, the greedy factor, the fixed parameter of Agent learning training in reinforcement learning, is introduced into an arctangent function and the mean value reward factor is defined. On this basis, three Q estimates are introduced, and the weight parameters are obtained by calculating the realistic value of Q, taking the average value and the minimum value to update the final Q table, so as to get an Improved MIMO-DD-3Q Learning model. The preliminary prediction results of lake eutrophication are obtained, and the errors obtained are used as the secondary input to continue updating the Q table to build the final Improved MIMO-DD-3Q Learning model, so as to achieve the final prediction of water eutrophication. In this study, multi-factor water quality data of Yongding River in Beijing were selected from 0:00 on July 26, 2021 to 0:00 on September 5, 2021. Firstly, data smoothing and principal component analysis were carried out to confirm that there was a certain correlation between all factors in the occurrence of lake eutrophication. Then, the Improved MIMO-DD-3Q Learning prediction model was used for experimental verification. The results show that the Improved MIMO-DD-3Q Learning model has a good effect in the field of lake eutrophication prediction.

Association of possible sarcopenia with major chronic diseases and multimorbidity among middle-aged and older adults: Findings from a national cross-sectional study in China.

AIM: This study investigated the prevalence of possible sarcopenia (PSA) in a large sample of middle-aged and older adults, and determined the association between PSA, major chronic diseases and the number of chronic diseases. METHODS: A total of 14 917 adults aged ≥40 years were included in the analysis. The handgrip strength and the five-time chair stand test were used to assess PSA. The participants' major chronic diseases were divided into 14 categories. Four categories were created based on the participants' number of chronic illnesses: 0, 1, 2 and ≥3. RESULTS: The present study found an overall prevalence of PSA of 23.6% among Chinese middle-aged and older adults aged ≥40 years, with the risk increasing with advancing age. PSA was significantly associated with most categories of chronic diseases and multimorbidity. The closely independent associations were obtained for stroke; emotional, nervous or psychiatric problems; chronic lung disease, asthma, heart disease, hypertension and arthritis or rheumatism. Compared with participants with 0 chronic disease, those with two or more chronic diseases had higher odds for PSA. However, the association between PSA and the number of chronic diseases varied in different sex and age groups. CONCLUSIONS: The findings suggest that PSA is associated with major chronic diseases among middle-aged and older adults. People with two or more chronic diseases have a greater likelihood of PSA compared with those without chronic diseases, and the association between PSA and the number of chronic diseases largely depended on sex and age. Geriatr Gerontol Int 2023; 23: 925-931.

A Cooperative Hunting Method for Multi-USV Based on the A* Algorithm in an Environment with Obstacles.

A single unmanned surface combatant (USV) has poor mission execution capability, so the cooperation of multiple unmanned surface ships is widely used. Cooperative hunting is an important aspect of multi USV collaborative research. Therefore, this paper proposed a cooperative hunting method for multi-USV based on the A* algorithm in an environment with obstacles. First, based on the traditional A* algorithm, a path smoothing method based on USV minimum turning radius is proposed. At the same time, the post order traversal recursive algorithm in the binary tree method is used to replace the enumeration algorithm to obtain the optimal path, which improves the efficiency of the A* algorithm. Second, a biomimetic multi USV swarm collaborative hunting method is proposed. Multiple USV clusters simulate the hunting strategy of lions to pre-form on the target's path, so multiple USV clusters do not require manual formation. During the hunting process, the formation of multiple USV groups is adjusted to limit the movement and turning of the target, thereby reducing the range of activity of the target and improving the effectiveness of the algorithm. To verify the effectiveness of the algorithm, two sets of simulation experiments were conducted. The results show that the algorithm has good performance in path planning and target search.

The Influence of Social Support on Leisure-Time Physical Activity of the Elderly in the Chinese Village of Fuwen.

The purpose of this study was to examine the associations of social support factors with leisure-time physical activity (LTPA) of older people in Fuwen village. A cross-sectional study included 523 randomly selected elderly people (60+ years) whose LTPA levels were determined using the shortened version of the International Physical Activity Questionnaire (IPAQ-S). A modified version of the Physical Activity Social Support Scale (PASSS) was operated to gather perceived scores of the social support factors. A multivariate linear regression was performed to locate associations of perceived scores of social supports with leisure-time walking (LTW) and moderate and vigorous physical activity (MVPA). The results indicated that social support from family was positively and significantly related to LTW and MVPA in both models. The community factor was positively and significantly correlated with MVPA in both models. The sport club factor was related to LTW and MVPA to some extent. The results suggest that social support from family is the most important motivator for older people's LTW and MVPA in the village of Fuwen. Social support from the community is the motivator for older people's MVPA. The sport club factor has some effects on older people's LTW and MVPA as well. More future studies are needed to extend the database of the relationship between social support and rural older people's physical activity.

PRDM16 exerts critical role in myocardial metabolism and energetics in type 2 diabetes induced cardiomyopathy.

BACKGROUND: The prevalence of type 2 diabetes mellitus (T2DM) has increased over the past decades. Diabetic cardiomyopathy (DCM) is the leading cause of death in T2DM patients, however, the mechanism underlying DCM remains largely unknown. Here, we aimed to investigate the role of cardiac PR-domain containing 16 (PRDM16) in T2DM. METHODS: We modeled mice with cardiac-specific deletion of Prdm16 by crossing the floxed Prdm16 mouse model with the cardiomyocyte-specific Cre transgenic mouse. The mice were continuously fed a chow diet or high-fat diet combining with streptozotocin (STZ) for 24 weeks to establish a T2DM model. DB/DB and adequate control mice were given a single intravenous injection of adeno-associated virus 9 (AAV9) carrying cardiac troponin T (cTnT) promoter-driven small hairpin RNA targeting PRDM16 (AAV9-cTnT-shPRDM16) from the retro-orbital venous plexus to knockout Prdm16 in the myocardium. There were at least 12 mice in each group. Mitochondrial morphology and function were detected using transmission electron microscopy, western blot determining the protein level of mitochondrial respiratory chain complex, mitotracker staining and Seahorse XF Cell Mito Stress Test Kit. Untargeted metabolomics analysis and RNA-seq analysis were performed to determine the molecular and metabolic changes associated with Prdm16 deficiency. BODIPY and TUNEL staining were used to detect lipid uptake and apoptosis. Co-immunoprecipitation and ChIP assays were conducted to examine the potential underlying mechanism. RESULTS: Prdm16 cardiac-specific deficiency accelerated cardiomyopathy and worsened cardiac dysfunction in mice with T2DM, aggravating mitochondrial dysfunction and apoptosis both in vivo and in vitro, while PRDM16 overexpression the deterioration. Prdm16 deficiency also caused cardiac lipid accumulation resulting in metabolic and molecular alterations in T2DM mouse models. Co-IP and luciferase assays confirmed that PRDM16 targeted and regulated the transcriptional activity, expression and interaction of PPAR-α and PGC-1α, while the overexpression of PPAR-α and PGC-1α reversed Prdm16 deficiency-induced cellular dysfunction in T2DM model. Moreover, PRDM16 regulated PPAR-α and PGC-1α and affected mitochondrial function by mainly depending on epigenetic regulation of H3K4me3. CONCLUSIONS: These findings suggest that PRDM16 exerted its protective role in myocardial lipid metabolism and mitochondrial function in T2DM in a histone lysine methyltransferase activity-dependent manner by regulating PPAR-α and PGC-1α.

Physical activity intensity, frequency, duration, volume and the risk of possible sarcopenia in middle-aged and older adults.

This study explored the association of physical activity (PA) from different dimensions including intensity, frequency, duration, and volume with possible sarcopenia (PSA), and established the PA cut-off value to identify PSA in middle-aged and older adults. The data in this study were from the China Health and Retirement Longitudinal Study in 2015. There were 7,957 adults aged over 45 years in the analysis. PA was assessed using a modified version of the International Physical Activity Questionnaire Short Form. Muscle strength and physical performance were measured to define PSA. Results showed that men spending at least 3 days each week, more than 10 min each time on vigorous-intensity PA, or a minimum of 933 Mets on total PA each week had a lower risk of PSA. In women, spending at least 3 days each week, more than 30 min each time on moderate-intensity PA, or taking at least 6 days each week, more than 120 min each time on low-intensity PA, or a minimum of 933 Mets on total PA each week was associated with a lower risk of PSA. In older adults (≥ 65 years), spending at least one day each week, more than 30 min each time on vigorous-intensity PA, or taking a minimum of 933 Mets on total PA each week was linked with a decreased risk of PSA. However, no significant associations were found between any PA dimensions and PSA in middle-aged adults (45-64 years). A receiver operating characteristic analysis showed that the PA cut-off value was 695 and 693 Mets each week for predicting PSA for men and women. The findings suggested that the intensity, frequency, duration, and weekly volume of PA is associated with the risk of PSA in middle-aged and older adults, and the association largely depends on sex and age. The PA cut-off value may be an early indication for a higher risk of sarcopenia.

Handgrip strength is positively associated with successful aging in older adults: A national cross-sectional study in China.

OBJECTIVES: Muscle strength gradually decreases with advancing age. This study aimed to explore the relationship between handgrip strength and successful aging and its specific dimensions in older adults using a nationally representative sample. METHODS: A total of 5269 adults aged 60 and older were included in this study. Handgrip strength was measured using a dynamometer and was organized into quartiles by sex. Successful aging was defined by Rowe and Kahn's conceptual model including the following five dimensions: (a) no major diseases; (b) freedom from disability; (c) high cognitive function; (d) good psychological status; and (e) active social engagement in life. Logistic regression models were used to examine the association between handgrip strength and successful aging and its specific dimensions. RESULTS: The prevalence of successful aging was found to be 35.1 % in Chinese older adults. Compared to older adults with handgrip strength in the first quartile, those with handgrip strength in the second quartile, third quartile, and fourth quartile had a higher probability of successful aging (adjusted odds ratio (OR): 1.40 (95 % CI: 1.16, 1.69) to 2.06 (95 % CI: 1.70, 2.50)). We further found that the association between handgrip strength and successful aging was related to different ages. CONCLUSION: This study suggested that there is a close association between handgrip strength and successful aging. Older adults who have greater handgrip strength can successfully deal with the challenges of aging. For older people, keeping a high level of muscle strength in late life may be helpful to the constant successful aging.

Comparison and analysis of the biomechanics of the lower limbs of female tennis players of different levels in foot-up serve.

Purpose: The purpose of this study was to examine biomechanical performance of the foot-up serve (FUS) in female tennis players at different skill levels. Methods: FUS analysis was completed in the biomechanical laboratory by 32 female college tennis players at three different levels. During FUS, 3D-biomechanical data from tennis players' lower limbs were collected. One-way ANOVA was used to examine differences in kinematic and kinetic data between groups Results: Range of motion (ROM) of bilateral lower-limb joints revealed significant differences in kinematics performance during both the preparation and landing cushion phases (p < 0.05). During preparation, Level 3 was significantly longer than Level 2 (P-a = 0.042, P-b = 0.001, and P-c = 0.006). During the flight phase, significant differences between levels 1 and 3 (P-a:0.002) and levels 1 and 2 (P-c:0.000) were discovered (P-a:0.002 and P-c:0.000). There were significant height differences between levels 1 and 2 as well as between levels 1 and 3. (P-a = 0.001, P-c = 0.000). During serve preparation (P-c = 0.001) and landing, GRF's peak was significantly higher than level 3. (P-c:0.007). Significant differences were found between groups in the LLS preparation stage, with level 3 significantly higher than levels 1 and 2. (P-a = 0.000, P-b = 0.001, and P-c = 0.000); during landing, level 2 LLS was significantly higher than levels 1 and 3. (P-a = 0.000, P-b = 0.000, and P-c = 0.035). Conclusion: The range of motion of joints and the stiffness of the lower limbs have a significant impact on a tennis player's FUS performance. A larger of joint mobility and lower-limb stiffness promote better performance during the FUS preparation stage.

Developing a predictive equation of muscular age to evaluate muscle health in Chinese community-dwelling older women.

Muscle health plays an important role in most common age-related diseases and injuries. To date, a standardized quantitative method to assess muscle health has not yet been developed. Principal component analysis was employed to develop a predictive equation of muscular age based on muscle health variables including skeletal muscle mass of lower limb, grip strength and maximal gait speed. Then validity of muscular age was tested by comparing chronological age to muscular age of the elderly. A predictive equation of muscular age was developed. Muscular age = 0.690 × chronological age - 1.245 × skeletal muscle mass of lower limb + 0.453 × grip strength - 1.291 × maximal walking speed + 40.547. Cross-sectional validity test showed that the predictive equation of muscular age is a valid method to assess muscle health. It is applicable not only to the normal elderly but to the elderly with pre-sarcopenia or sarcopenia.

A Rice Hazards Risk Assessment Method for a Rice Processing Chain Based on a Multidimensional Trapezoidal Cloud Model.

Rice is common in the human diet, making rice safety issues important. Moreover, rice processing safety is key for rice security, so rice processing chain risk assessment is critical. However, methods proposed to assess the rice processing chain risk have issues, such as the use of unreasonable thresholds for the rice processing chain and fixed weight. To solve these problems, we propose a risk assessment method for the rice processing chain based on a multidimensional trapezoidal cloud model. First, an evaluation model based on a multidimensional trapezoidal cloud model was established. Based on the historical evaluation results, Atanassov's interval-valued intuition language numbers (AIVILNs) were introduced to determine the cloud model's parameters. Second, the concept of dynamic weight was introduced to integrate the static and dynamic weights. An exponential function was used to construct dynamic weighting mechanisms, and the analytic hierarchy stage (AHP) was used to construct a static weight. The proposed method was validated by 104 sets of rice processing chain data, and the results show that the method could evaluate the risk level of the rice processing chain more accurately and reasonably than other methods, indicating that it can provide a sound decision-making basis for food safety supervision authorities.

Evaluating the association between anthropometric parameters and successful aging in older adults.

This study aimed to determine the relationship between successful aging (SA) and anthropometric parameters in older adults. We used body mass index (BMI), waist circumference, hip circumference, and calf circumference to reflect anthropometric parameters. SA was assessed by the following five aspects: self-rated health, self-rated psychological status or mood, cognitive function, activities of daily life, and physical activity. Logistic regression analyses were employed to examine the relationship between anthropometric parameters and SA. Results showed that larger BMI, waist circumference, and calf circumference are related to a higher prevalence of SA in older women; greater waist circumference and calf circumference are associated with a higher rate of SA in old-old adults. These findings suggest that the greater BMI, waist circumference, hip circumference, and calf circumference are associated with a higher rate of SA in older adults, and the associations are influenced to some extent by the sex and age.

Relationship between specific leisure activities and successful aging among older adults.

Background/Objectives: This study was designed to investigate the association between specific leisure activities and successful aging among older adults, using data from the Chinese Longitudinal Healthy Longevity Survey. Methods: A total of 7689 older adults were involved in this study and categorized as successful aging group (n = 3989; 51.8%) or non-successful aging group (n = 3703; 48.2%). Participants were identified as successful aging if they had a score of more than 3 points, or as non-successful aging. The points were based on the following five items and each item was assigned 1 point: self-rated health, self-rated psychological status or mood, cognitive function, activities of daily life, and physical activity. Six activities including gardening work, reading newspapers or books, raising domestic animals or pets, playing cards or mahjong, watching TV or listening to radio, and participating in social activities were collected to reflect leisure activities. Chi-square tests, independent sample t-test, and logistic regression analyses were employed to explore the association between specific leisure activities and successful aging. Results: The prevalence of successful aging was 51.8% among Chinese older adults. A significant positive relationship was found between the frequency of participation in specific leisure activities and successful aging (p < 0.05). Older adults who usually participated in leisure activities had greater odds for successful aging compared to those who never participated in leisure activities (adjusted odds ratio (OR): 1.31 (95% CI: 1.15-1.49) to 1.88 (95% CI: 1.62-2.19)). Older adults participating in one or more leisure activities had greater odds for successful aging compared to those who did not participate in leisure activities (adjusted OR: 1.51 (95% CI: 1.30-1.76) to 4.10 (95% CI: 2.44-6.89)). Conclusions: The findings provide evidence that participating more frequently and in more leisure activities was associated with a greater probability of successful aging among Chinese older adults. Encouraging older people to participate frequently in a larger number of leisure activities may be a key to promote successful aging. Therefore, the frequency and number of participation in leisure activities should be highlighted and targeted for promoting successful aging.

Association of sleep duration with underweight and obesity in older adults: A cross-sectional study of the Chinese longitudinal healthy longevity survey.

OBJECTIVES: Underweight and obesity are two of the main health concerns as they are associated with adverse health outcomes and nutrition disorders. This study determined the association of sleep duration with both underweight and obesity in Chinese older adults. METHODS: This cross-sectional secondary data analysis was conducted using data from the 2018 wave of the Chinese Longitudinal Healthy Longevity Survey. There were 13 917 participants aged 65 and above in the analysis. Body mass index (BMI) was categorized into underweight, normal weight and overweight, and obesity. Self-reported sleep duration was divided into short, normal, and long sleep duration. Logistic regression models were used to examine the association of sleep duration with underweight and obesity. RESULTS: The prevalence of underweight was 16.7% and the prevalence of obesity was 8.0% in Chinese older adults aged 65 and older. Compared to the normal sleep duration group, the short sleep duration group had a higher incidence of underweight (AOR = 1.29, 95% CI: 1.01-1.65), and the long sleep duration group showed a higher incidence of obesity (AOR = 1.57, 95% CI: 1.07-2.30) in older men. A greater incidence of underweight was found in the short sleep duration group (AOR = 1.19, 95% CI: 1.02-1.40) in old-old adults after adjusting for covariates. CONCLUSIONS: Short sleep duration is associated with being underweight and long sleep duration is linked with obesity in older men. Short sleep duration is also a risk factor for the underweight of old-old adults.

The chloroplast genome of Scutellaria franchetiana H.Lév. 1911 and its implications for phylogenetic relationships in the Scutellaria genus.

Scutellaria franchetiana H.Lév. 1911 is an important medicinal plant distributed on hillside wetlands at an altitude of 830-2300 m. The total length of complete chloroplast genome of S. franchetiana 151,852 bp of 38.37% GC content. It is a typical quadratic structure with four subregions consisting of a large single-copy region (83,894 bp), a small single-copy region (17,520 bp), and a pair of inverted repeats (25,219 bp). In the chloroplast genome of S. franchetiana, 130 genes were detected, comprising 86 protein-encoding genes, eight ribosomal RNA (rRNA) genes, and 36 transfer RNA (tRNA) genes. The comparative analysis of complete chloroplast genome sequences including 68 common genes of 27 plants indicates that S. franchetiana has a close relative relationship with Scutellaria orthocalyx and Scutellaria meehanioides. This work reported the first chloroplast genome of S. franchetiana, which provided a potential reference for studying phylogenetic relationships of the Scutellaria genus.