Objective To compare the screening ability of the phase Angle (PhA) and the Short-Form Mini Nutritional Assessment (MNA-SF) alone and combined detection in the different stages of sarcopenia among the older adults in the community. Methods The older adults aged 65 and above were enlisted during community outpatient service and their nutritional status was evaluated by MNA-SF scale. PhA was measured by bioelectrical impedance analysis (BIA). AWGS2019 and EWGSOP2010 were used to define the different stages of sarcopenia. We measured skeletal mass index (SMI) and grip strength with BIA and electronic grip apparatus and measured body function with 6-m pace, SPPB test, and standing test. Results The AUC of PhA in the screening of possible sarcopenia was 0.640, the sensitivity was 58.49%, the specificity was 66.67%, and the cut-off value was 4.5. The AUC of the combined PhA and MNA-SF for possible sarcopenia was 0.642, the sensitivity was 57.55%, and the specificity was 70.00%. The AUC of MNA-SF for the screening of pre-sarcopenia was 0.805, the sensitivity was 66.67%, the specificity was 85.83%, and the cut-off value was 12. The AUC of the combined PhA and MNA-SF was 0.826, the sensitivity was 75.00%, and the specificity was 85.00%. The AUC of PhA in the screening of sarcopenia (common type) was 0.808, the sensitivity was 82.35%, the specificity was 73.33%, the cut-off value was 4.4. The AUC of the combined PhA and MNA-SF for sarcopenia (common type) was 0.835, the sensitivity was 76.47% and the specificity was 81.67%. The AUC of PhA and for the screening of severe sarcopenia was 0.935, the sensitivity was 93.33%, the specificity was 92.50%, and the cut-off value was 4.1. The AUC of the combined PhA and MNA-SF was 0.943, the sensitivity was 86.67%, and the specificity was 93.33%. Conclusion The screening ability of PhA alone or in combination was higher than that of MNA-SF in the screening of possible sarcopenia. The screening ability of the combined detection was higher than that of PhA alone in the screening of pre-sarcopenia. The combination of PhA and MNA-SF or PhA alone all performed better value in the screening of sarcopenia (common type). Compared to MNA-SF, the PhA performed better in the screening of severe sarcopenia, which provided references for identifying patients with different stages of sarcopenia in the community.
Objective To compare the diagnostic effects of PhA and MNA-SF in the different stages of sarcopenia, and to analyze the diagnostic value of the combined detection of PhA and MNA-SF for different stages of sarcopenia among the elderly community. Methods The elderly aged 65 and above were enlisted during community outpatient service and their nutritional status was evaluated by MNA-SF scale. The composition with bioelectrical impedance analysis (BIA) was used to test PhA for identifying the diagnostic value of PhA and MNA-SF in different stages of sarcopenia among the elderly community and to analyze the diagnostic effect of combined detection of PhA and MNA-SF. Results The AUC of PhA in the diagnosis of possible sarcopenia was 0.639, the sensitivity was 58.10%, the specificity was 66.67%, and the cut-off value was 4.5. The AUC of combined detection of PhA and MNA-SF for possible sarcopenia was 0.641, the sensitivity was 57.14%, and the specificity was 70.00%. The AUC of MNA-SF for the diagnosis of pre-sarcopenia was 0.805, the sensitivity was 66.67%, the specificity was 85.83%, and the cut-off value was 12. The AUC of combined detection of PhA and MNA-SF was 0.826, the sensitivity was 75.00%, and the specificity was 85.00%. PhA and MNA-SF all had the diagnostic value for sarcopenia, the AUC was 0.862,0.734, the sensitivity was 66.67% and 78.79%, the specificity was 92.50% and 65.00%, the cut-off value was 4.1 and 13. The AUC of combined detection of PhA and MNA-SF for sarcopenia was 0.879, the sensitivity was 81.82% and the specificity was 82.50%. Conclusion The value of PhA alone or combined detection was higher than that of MNA-SF in the diagnosis of possible sarcopenia, the value of MNA-SF alone or combined detection was higher than that of PhA in the diagnosis of pre-sarcopenia. Compared to MNA-SF, the PhA had a higher value in the diagnosis of sarcopenia, which provides references for identifying patients with different stages of sarcopenia in the community.
Background: The prevalence of anxiety and other psychological disorders has increased during the COVID-19 pandemic, especially among the elderly. Anxiety and metabolic syndrome (MetS) may aggravate each other. This study further clarified the correlation between the two. Methods: Adopting a convenience sampling method, this study investigated 162 elderly people over 65 years of age in Fangzhuang Community, Beijing. All participants provided baseline data on sex, age, lifestyle, and health status. The Hamilton Anxiety Scale (HAMA) was used to assess anxiety. Blood samples, abdominal circumference, and blood pressure were used to diagnose MetS. The elderly were divided into MetS and control groups according to the diagnosis of MetS. Differences in anxiety between the two groups were analysed and further stratified by age and gender. Multivariate logistic regression analysis was used to analyse the possible risk factors for MetS. Results: Compared with the control group, anxiety scores of the MetS group were statistically higher (Z = 4.78, P < 0.001). There was a significant correlation between anxiety levels and MetS (r = 0.353, P < 0.001). Multivariate logistic regression revealed that anxiety (possible anxiety vs no anxiety: odds ratio [OR] = 2.982, 95% confidence interval [CI] 1.295-6.969; definite anxiety vs no anxiety: OR = 14.573, 95%CI 3.675-57.788; P < 0.001) and BMI (OR = 1.504, 95% CI 1.275-1.774; P < 0.001) were possible risk factors for MetS. Conclusion: The elderly with MetS had higher anxiety scores. Anxiety may be a potential risk factor for MetS, which provides a new perspective on anxiety and MetS.
Objective The aim of this study was adopts meta-analysis in evaluating the correlation between TSH and BMD, as well as osteoporosis in the postmenopausal women with normal thyroid function. Methods Six databases were searched for articles concerning correlation between TSH and BMD in postmenopausal women. The retrieval time was set from the date of database establishment to November 30, 2020. Revman5.3 and Stata12.0 software were used for meta-analysis. Results A total of 19 articles were incorporated. The Summary Fisher’ Z of the correlation between TSH and BMD was 0.16, 95% CI (0.00, 0.32), and the correlation coefficient of Summary Fisher’ Z conversion was 0.158. Study on the relationship between TSH and osteoporosis based on OR demonstrated that the combined OR was 1.76, 95% CI (1.27, 2.45), P < 0.05. The subgroup analyzing results displayed that the risk of osteoporosis of the subjects from community with low TSH was 1.89, 95% CI (1.43, 2.49). The risk of osteoporosis for subjects with low TSH and from hospitals was 1.36, 95% CI (0.46, 3.99); 1.84 for subjects with low TSH and anti-osteoporosis drugs, 95% CI (1.05, 3.22); and 1.74 for those with low TSH but not taking anti-osteoporosis drugs, 95% CI (1.08, 2.82). The dose-response relationship showed that the risk of osteoporosis tended to decrease when TSH was more than 2.5mIu/L. Conclusion The serum TSH is positively related with BMD in postmenopausal women, and high TSH (> 2.5 mIu/L) within the normal range is possibly helpful to decrease the risk of osteoporosis in postmenopausal women.
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