Objective To measure the paraspinal muscle parameters, explore the characteristics of paraspinal muscles, and investigate the influence factors of paraspinal muscle degeneration in healthy people. MethodsEighty-two healthy Chinese people were prospectively recruited between February 2020 and November 2020, including 36 males and 46 females. The age ranged from 21 to 75 years, with a mean of 48.0 years. The height ranged from 150 to 183 cm, with a mean of 165.6 cm. The body mass ranged from 43 to 100 kg, with a mean of 65.4 kg. The body mass index (BMI) ranged from 16.7 to 32.4 kg/m2, with a mean of 23.7 kg/m2. Parameters of the paraspinal muscles (multifidus muscle, erector spinae muscle, and psoas major muscle) at L3, L4, and L5 levels were measured by MRI, including the relative total cross-sectional area (rtCSA), relative fatty cross-sectional area (rfCSA), relative signal intensity (rSI), and fatty infiltration (FI). The differences of paraspinal muscle parameters at different genders and different measurement levels were compared; Pearson or Spearman correlation analysis was used to explore the relationship between paraspinal muscle parameters and age, height, body mass, BMI. Results From L3 to L5 level, the rtCSA and rfCSA of multifidus muscle and psoas major muscle as well as the rfCSA of erector spinae muscle increased, while rtCSA of erector spinae muscle decreased. The FI and rSI of paraspinal muscles increased gradually. The parameters of paraspinal muscles at L4 and L5 levels were significantly different from those at L3 levels (P<0.05). There were significant differences in rtCSA and rfCSA of multifidus muscle, rtCSA, FI, and rSI of erector spinae muscle as well as rtCSA, rfCSA, and FI of psoas major muscle between L4 and L5 levels (P<0.05). Compared with males, the rfCSA and FI of multifidus muscle, FI of erector spinae muscle, and FI of psoas major muscle were significantly higher in females, while the rtCSA of psoas major muscle was significantly lower (P<0.05). Age was significantly negatively correlated with rtCSA of paraspinal muscles (P<0.05), but significantly positively correlated with FI of paraspinal muscles, rfCSA and rSI of multifidus and erector spinae muscles (P<0.05). Height was significantly negatively correlated with rfCSA and FI of paraspinal muscles (P<0.05). ConclusionThe degree of paraspinal muscle degeneration increases gradually along the spine axis from head to tail. Paraspinal muscle degeneration is related to age, height, and gender. The relationship between the body mass, BMI and paraspinal muscle degeneration needs further study.
ObjectiveNumerous foreign researches focused on the changes of EEG during the developmental periods from the newborn to late adulthood. However, the EEG changes of healthy Chinese people is still rare. Therefore, we examined the EEG of 2 357 healthy Chinese people.MethodsIn 1982, guided by Prof. Feng, we analysed the waking EEG of 2 357 healthy people, from 2 to above 60 years old, including open eyes induction test and hyperventilation.ResultsAt age 2 ~ 4, the posterior basic rhythms has reached 8 ~ 9 Hz, but the rhythms were unregular pattern. After age 7, the rhythms were 9 Hz, α index was more than 60%, the amplitude was higher than other ages. At age 12 ~ 14, the main rhythms was 10 Hz, the same as adulthood, α index was 70% ~ 80%. After this age, the amplitude of α rhythm deceased gradually. Above 60 years old, the main rhythm was 9 Hz, α index <60%, the amplitude was lower than adulthood. At age 14 ~ 16, the θ index in frontal and temporal regions was 6%, the same as the adulthood. At age 18 ~ 20, β index was 20%.ConclusionsIn the article, we analyzed the waking EEG of 2 357 healthy Chinese people in Beijing area. Although this multi-center study was accomplished at 1980s, the data is still of great value to the clinical EEG today.
ObjectivesTo systematically review the prevalence of methicillin-resistant staphylococcus aureus (MRSA) in healthy Chinese population.MethodsPubMed, EMbase, WanFang Data and CNKI databases were electronically searched to collect cross-sectional studies of the prevalence of MRSA in China from inception to December 16th, 2018. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies, and then, meta-analysis was performed by using Stata 12.0 software.ResultsA total of 25 cross-sectional studies were included. The results of meta-analysis showed that: the pooled prevalence of MRSA in healthy population was 13.9% (95%CI 9.6% to 18.2%). The results of subgroup analysis showed that: the prevalence of MRSA in children was 16% (95%CI 8% to 24%), and that in adults (non-children) was 13% (95%CI 9% to 16%). The prevalence of MRSA in individuals with occupational livestock exposure was 28% (95%CI 5% to 51%), in medical staff it was 16% (95%CI 8% to 25%), in medical students it was 12% (95%CI 3% to 20%) and in community residents it was 5% (95%CI 2% to 8%).ConclusionsThe overall prevalence of MRSA in healthy Chinese population is approximately 13.9%. Effective prevention and control measures are required to reduce the spread of MRSA.
ObjectiveTo analyze genotype frequencies of CYP2C19 in healthy Asian population, and to provide evidence-based data for further personalized drug therapy and pharmacogenomics research. MethodsLiterature was retrieved from digital databases of PubMed, EMbase, The Cochrane Library (Issue 2, 2013), CNKI, WanFang Data, VIP and CBM from their established dates to August, 2013. According to the inclusion and exclusion criteria, the data of the allele frequencies of the gene were extracted, pooled, and analyzed. ResultsA total of 36 articles were included, involving 15 countries and 9 693 healthy populations. Analysis was conducted on regional features, by regions as China, East Asia (China, Korea and Japan), Southeast Asia (Vietnam, Thailand, Malaysia, Singapore, Myanmar and Indonesia), South Asia (India) and West Asia (Palestine, Lebanon, Iran, Turkey and Jordan). The results showed that the genotype frequencies of *1/*1, *1/*2, *1/*3, *2/*2, *2/*3 and *3/*3 were 37.2%, 41.4%, 6.7%, 9.9%, 4.1% and 0.7% (Chinese, n=4 105); 36.4%, 39.1%, 8.8%, 9.5%, 4.9% and 1.3% (East Asian, n=6 198); 44.9%, 41.1%, 4.7%, 7.0%, 1.8% and 0.6% (Southeast Asian, n=1 933); 43.5%, 42.9%, 0.3%, 12.7%, 0.6% and 0.0% (South Asian, n=361); 77.8%, 18.9%, 0.3%, 2.6%, 0.1% and 0.3% (West Asia, n=1 201); and 43.5%, 37.1%, 6.6%, 8.3%, 3.5% and 1.0% (Asian, n=9 693). ConclusionThe present study suggests that there is a great difference on the genotype frequencies of CYP2C19 for different ethnic groups in China, and at different regions in Asia. Besides, genetic variation is impacted by geographical factors such as region and environment.