Objective:To investigate the prevalence of sarcopenia and potential influencing factors in middle-aged and elderly populations in Zhejiang Province.Methods:Data were obtained from Zhejiang Provincial Household Economic Status Survey, a cross-sectional survey was condcuted in middle-aged and olde adults selected through multi-stage sampling in three cities in Zhejiang (Huzhou, Jiaxing and Shaoxing) in July 2023. A total of 3 019 study participants, average age 62.3 years old, 53.5% men, were included according to the inclusion and exclusion criteria. Sarcopenia screening was conducted by using the questionnaire with five sarcopenia related-items. Univariable and multivariable logistic regression analysis was used to identify the factors associated with sarcopenia.Results:The prevalence of sarcopenia in the middle-aged and old study participants was 4.47%. Significant differences were observed between the participants with or without sarcopenia in terms of age, educational level, BMI, alcohol consumption status, diet habit, physical activity level, sleep quality, number of chronic diseases, childhood socioeconomic status, adulthood community socioeconomic status, muscle strength, walking assistance, ability to stand from seat, ability to climb stairs, and fall frequency ( P<0.05). Multivariable logistic regression analysis revealed that old age (≥75 years: OR=2.82, 95% CI: 1.60-4.97), low body weight ( OR=1.96, 95% CI: 1.06-3.62), unhealthy diet habit ( OR=1.57, 95% CI: 1.01-2.46), physical inactivity ( OR=5.80, 95% CI: 3.09-10.88), poor or very poor sleep quality ( OR=1.65, 95% CI:1.23-2.41), number of chronic diseases (1 chronic disease: OR=1.84, 95% CI: 1.08-3.14; 2 chronic diseases: OR=3.22, 95% CI: 1.81-5.71; 3 or more chronic diseases: OR=3.74, 95% CI: 2.11-6.65), poor childhood socioeconomic status ( OR=2.98, 95% CI: 1.23-7.20), and poor adulthood community socioeconomic status ( OR=3.87, 95% CI: 1.63-9.17) were significant risk factors for sarcopenia. Conclusions:The prevalence of sarcopenia was relatively low in middle-aged and old population in Zhejiang. Age, BMI, unhealthy diet, physical activity level, sleep quality, number of chronic diseases, childhood socioeconomic status, and adulthood community socioeconomic status were identified as significant influencing factors.

Objective:To investigate the prevalence of sarcopenia and potential influencing factors in middle-aged and elderly populations in Zhejiang Province.Methods:Data were obtained from Zhejiang Provincial Household Economic Status Survey, a cross-sectional survey was condcuted in middle-aged and olde adults selected through multi-stage sampling in three cities in Zhejiang (Huzhou, Jiaxing and Shaoxing) in July 2023. A total of 3 019 study participants, average age 62.3 years old, 53.5% men, were included according to the inclusion and exclusion criteria. Sarcopenia screening was conducted by using the questionnaire with five sarcopenia related-items. Univariable and multivariable logistic regression analysis was used to identify the factors associated with sarcopenia.Results:The prevalence of sarcopenia in the middle-aged and old study participants was 4.47%. Significant differences were observed between the participants with or without sarcopenia in terms of age, educational level, BMI, alcohol consumption status, diet habit, physical activity level, sleep quality, number of chronic diseases, childhood socioeconomic status, adulthood community socioeconomic status, muscle strength, walking assistance, ability to stand from seat, ability to climb stairs, and fall frequency ( P<0.05). Multivariable logistic regression analysis revealed that old age (≥75 years: OR=2.82, 95% CI: 1.60-4.97), low body weight ( OR=1.96, 95% CI: 1.06-3.62), unhealthy diet habit ( OR=1.57, 95% CI: 1.01-2.46), physical inactivity ( OR=5.80, 95% CI: 3.09-10.88), poor or very poor sleep quality ( OR=1.65, 95% CI:1.23-2.41), number of chronic diseases (1 chronic disease: OR=1.84, 95% CI: 1.08-3.14; 2 chronic diseases: OR=3.22, 95% CI: 1.81-5.71; 3 or more chronic diseases: OR=3.74, 95% CI: 2.11-6.65), poor childhood socioeconomic status ( OR=2.98, 95% CI: 1.23-7.20), and poor adulthood community socioeconomic status ( OR=3.87, 95% CI: 1.63-9.17) were significant risk factors for sarcopenia. Conclusions:The prevalence of sarcopenia was relatively low in middle-aged and old population in Zhejiang. Age, BMI, unhealthy diet, physical activity level, sleep quality, number of chronic diseases, childhood socioeconomic status, and adulthood community socioeconomic status were identified as significant influencing factors.

Objective To understand the relationship between habitat choice of Himalaya marmot and vegetation elements such as vegetation coverage,grassland type,vegetation type and so on by using geographic information technology in Qinghai.Methods Himalayan marmot field survey data from Qinghai Provincial Institute for Endemic Disease Control and Prevention and vegetation coverage,grassland type and other remote sensing and geographic information data was processed for spatial overlay using ArcGIS tool.The vegetation characteristic information of the location of Himalayan marmot was searched and analyzed statistically,and then the initial quantitative analysis of Himalayan marmot on the selection of habitat vegetation conditions was made.Results After screening,84 samples of Himalayan marmot were retained.The mean of vegetation coverage was 0.708 5,the range was 0.313 3-1.000 0.Totally 54.76％ (46/84) of the Himalayan marmot samples was in the vegetation coverage of 0.70 to 1.00.Among the nine grassland types,the alpine meadows accounted for 39.78％ of total area of Qinghai,with 59 Himalayan marmot sample points distributed,which accounting for 70.24％ (59/84).Himalayan marmot mainly feed on some of the roots of grassland plants,including Poa pratensis,Alpine Kobresia,Potentilla,Polygonum viviparum,Kobresia cordata,Oxytropis,Aster and other miscellaneous grass.Conclusions Vegetation conditions is one of the important factors of Himalayan marmot in habitat selection.Quantitative analysis of the relationship between Himalayan marmot spatial distribution and vegetation factors by using geographic information technology,can deepen the understanding of marmot habitat selection,and provide a basis for grassland plague surveillance and control.

Objective:To construct the fingerprinting and analyze the genetic relationship in Gastrodia elata Bl.Methods:Inter-simple sequence repeat(ISSR) markers were used to investigate 23 populations of wild and cultivated Gastrodia elata Bl.in Guizhou Province.4 effective primers which were screened from 24 ISSR primers detected 32 loci in 23 samples,29 loci were polymorphic,amounting to 90.63% of the total loci..The average number of bands was 8 and the percentage of polymorphic loci(PPB)was from 80% to 100%.UPGMA dendrogram was analyzed by NTSYSpc,ver.2.2.Results:Similarity coefficients of the 23 populations were from 0.13 to 1.00.Individuals of the same population did not strictly cluster together and the genetic diversity of individuals in different populations was considerably high.Conclusion:Geographical distribution,variant growing conditions and artificial selection were significant factors for the rich genetic polymorphism of Gastrodia elata Bl.