Background: This study aimed to estimate temporal trends in metabolically unhealthy obesity (MUO) among United States (US) adults by age, sex, race/ethnicity, and income from 1999 to 2018. Methods: We included 17,230 non-pregnant adults from a nationally representative cross-sectional study, the National Health and Nutrition Examination Survey (NHANES). MUO was defined as body mass index ≥30 kg/m2 with any metabolic disorders in blood pressure, blood glucose, and blood lipids. The age-adjusted percentage of MUO was calculated, and linear regression models estimated trends in MUO. Results: The weighted mean age of adults was 47.28 years; 51.02% were male, 74.64% were non-Hispanic White. The age-adjusted percentage of MUO continuously increased in adults across all subgroups during 1999–2018, although with different magnitudes (all P<0.05 for linear trend). Adults aged 45 to 64 years consistently had higher percentages of MUO from 1999–2000 (34.25%; 95% confidence interval [CI], 25.85% to 42.66%) to 2017–2018 (42.03%; 95% CI, 35.09% to 48.97%) than the other two age subgroups (P<0.05 for group differences). The age-adjusted percentage of MUO was the highest among non-Hispanic Blacks while the lowest among non-Hispanic Whites in most cycles. Adults with high-income levels generally had lower MUO percentages from 1999–2000 (22.63%; 95% CI, 17.00% to 28.26%) to 2017–2018 (32.36%; 95% CI, 23.87% to 40.85%) compared with the other two subgroups. Conclusion This study detected a continuous linear increasing trend in MUO among US adults from 1999 to 2018. The persistence of disparities by age, race/ethnicity, and income is a cause for concern. This calls for implementing evidence-based, structural, and effective MUO prevention programs.

Background: This study aimed to estimate temporal trends in metabolically unhealthy obesity (MUO) among United States (US) adults by age, sex, race/ethnicity, and income from 1999 to 2018. Methods: We included 17,230 non-pregnant adults from a nationally representative cross-sectional study, the National Health and Nutrition Examination Survey (NHANES). MUO was defined as body mass index ≥30 kg/m2 with any metabolic disorders in blood pressure, blood glucose, and blood lipids. The age-adjusted percentage of MUO was calculated, and linear regression models estimated trends in MUO. Results: The weighted mean age of adults was 47.28 years; 51.02% were male, 74.64% were non-Hispanic White. The age-adjusted percentage of MUO continuously increased in adults across all subgroups during 1999–2018, although with different magnitudes (all P<0.05 for linear trend). Adults aged 45 to 64 years consistently had higher percentages of MUO from 1999–2000 (34.25%; 95% confidence interval [CI], 25.85% to 42.66%) to 2017–2018 (42.03%; 95% CI, 35.09% to 48.97%) than the other two age subgroups (P<0.05 for group differences). The age-adjusted percentage of MUO was the highest among non-Hispanic Blacks while the lowest among non-Hispanic Whites in most cycles. Adults with high-income levels generally had lower MUO percentages from 1999–2000 (22.63%; 95% CI, 17.00% to 28.26%) to 2017–2018 (32.36%; 95% CI, 23.87% to 40.85%) compared with the other two subgroups. Conclusion This study detected a continuous linear increasing trend in MUO among US adults from 1999 to 2018. The persistence of disparities by age, race/ethnicity, and income is a cause for concern. This calls for implementing evidence-based, structural, and effective MUO prevention programs.

Background: This study aimed to estimate temporal trends in metabolically unhealthy obesity (MUO) among United States (US) adults by age, sex, race/ethnicity, and income from 1999 to 2018. Methods: We included 17,230 non-pregnant adults from a nationally representative cross-sectional study, the National Health and Nutrition Examination Survey (NHANES). MUO was defined as body mass index ≥30 kg/m2 with any metabolic disorders in blood pressure, blood glucose, and blood lipids. The age-adjusted percentage of MUO was calculated, and linear regression models estimated trends in MUO. Results: The weighted mean age of adults was 47.28 years; 51.02% were male, 74.64% were non-Hispanic White. The age-adjusted percentage of MUO continuously increased in adults across all subgroups during 1999–2018, although with different magnitudes (all P<0.05 for linear trend). Adults aged 45 to 64 years consistently had higher percentages of MUO from 1999–2000 (34.25%; 95% confidence interval [CI], 25.85% to 42.66%) to 2017–2018 (42.03%; 95% CI, 35.09% to 48.97%) than the other two age subgroups (P<0.05 for group differences). The age-adjusted percentage of MUO was the highest among non-Hispanic Blacks while the lowest among non-Hispanic Whites in most cycles. Adults with high-income levels generally had lower MUO percentages from 1999–2000 (22.63%; 95% CI, 17.00% to 28.26%) to 2017–2018 (32.36%; 95% CI, 23.87% to 40.85%) compared with the other two subgroups. Conclusion This study detected a continuous linear increasing trend in MUO among US adults from 1999 to 2018. The persistence of disparities by age, race/ethnicity, and income is a cause for concern. This calls for implementing evidence-based, structural, and effective MUO prevention programs.

Background: This study aimed to estimate temporal trends in metabolically unhealthy obesity (MUO) among United States (US) adults by age, sex, race/ethnicity, and income from 1999 to 2018. Methods: We included 17,230 non-pregnant adults from a nationally representative cross-sectional study, the National Health and Nutrition Examination Survey (NHANES). MUO was defined as body mass index ≥30 kg/m2 with any metabolic disorders in blood pressure, blood glucose, and blood lipids. The age-adjusted percentage of MUO was calculated, and linear regression models estimated trends in MUO. Results: The weighted mean age of adults was 47.28 years; 51.02% were male, 74.64% were non-Hispanic White. The age-adjusted percentage of MUO continuously increased in adults across all subgroups during 1999–2018, although with different magnitudes (all P<0.05 for linear trend). Adults aged 45 to 64 years consistently had higher percentages of MUO from 1999–2000 (34.25%; 95% confidence interval [CI], 25.85% to 42.66%) to 2017–2018 (42.03%; 95% CI, 35.09% to 48.97%) than the other two age subgroups (P<0.05 for group differences). The age-adjusted percentage of MUO was the highest among non-Hispanic Blacks while the lowest among non-Hispanic Whites in most cycles. Adults with high-income levels generally had lower MUO percentages from 1999–2000 (22.63%; 95% CI, 17.00% to 28.26%) to 2017–2018 (32.36%; 95% CI, 23.87% to 40.85%) compared with the other two subgroups. Conclusion This study detected a continuous linear increasing trend in MUO among US adults from 1999 to 2018. The persistence of disparities by age, race/ethnicity, and income is a cause for concern. This calls for implementing evidence-based, structural, and effective MUO prevention programs.

Objective:To understand the current situation of nursing undergraduate students ' mastery of core skills and analyze the impact paths of learning environment and self-efficacy on the level of nursing core ability mastery. Methods:Using the convenient sampling method, a total of 431 nursing undergraduates from 6 universities in Macao and Guangdong Province were selected as the research objects from November to December 2022. The self-made general data questionnaire, Nursing Core Skills Mastery Questionnaire and General Self-Efficacy Scale were used to investigate the patients.Results:The total score of core nursing skills for 431 undergraduate nursing students was (3.55±0.59). The learning environment had a positive direct effect on the mastery of core skills ( P<0.05), which could indirectly affect the mastery of core skills through the mediating effects of self-efficacy, personal foundation and planning ( P<0.05) . Conclusions:Application-oriented colleges, progressive practice plans and increasing the proportion of electives are conducive to the improvement of self-efficacy and the mastery of core nursing skills. It is recommended that nursing colleges clarify the direction of talent cultivation based on their own situation, increase the proportion of elective courses and add clinical practice content in the course process, in order to promote the mastery of core nursing skills for nursing undergraduate students.

Objective:To explore the turnover intention of dental outpatient nurses, and analyze its influencing factors.Methods:From August to September 2021, multi-stage sampling was used to select nurses from 20 stomatology hospitals in 7 geographical regions of North China, East China, South China, Central China, Southwest, Northeast, and Northwest China. The survey was conducted using the General Information Questionnaire, Turnover Intention Scale, Nursing Work Environment Scale, Psychological Capital Scale for Nurses, and Work Engagement Scale.Results:A total of 1 513 questionnaires were collected, including 1 135 valid questionnaires, with a valid rate of 75.02% (1 135/1 513). The total score of turnover intention among 1 135 dental outpatient nurses was (2.22±0.56). Pearson correlation analysis showed a negative correlation between nursing work environment, psychological capital, work engagement, and turnover intention ( r=-0.421, -0.340, -0.446; P<0.01). The structural equation model showed that the nursing work environment had a direct negative effect on the turnover intention of dental outpatient nurses (β=-0.401, P<0.01) and had an indirect negative effect on turnover intention through work engagement (β=-0.106, P<0.01), with a mediating effect of 20.91%. Psychological capital had an indirect negative effect on the turnover intention of dental outpatient nurses through work engagement (β=-0.271, P<0.01), with a mediating effect of 52.83%. Conclusions:The turnover intention of dental outpatient nurses is at a high level. Managers can reduce the turnover intention of dental clinic nurses by improving the nursing work environment, developing psychological capital, and increasing work engagement.

Objective:To explores the relationship between self-efficacy and marital adjustment in infertile couples based on Actor-Partner Interdependence Model (APIM) .Methods:This study was a cross-sectional survey. A total of 310 infertile couples who underwent in vitro fertilization-embryo transfer cycle treatment in Reproductive Center of Peking University Third Hospital from January to April 2022 were selected as the research objects by the convenient sampling method. General Self-Efficacy Scale and Locke-Wallace Marital Adjustment Test were used to investigate. The relationship between self-efficacy and marital adjustment of infertile couples was analyzed by Pearson correlation analysis and APIM. A total of 310 groups of questionnaires were distributed (1 group was 1 couple) , and 293 groups of effective questionnaires were collected, with an effective recovery rate of 94.5%. Results:The self-efficacy scores of infertile couples were (25.08±5.54) for wives and (27.08±5.35) for husbands, and the self-efficacy scores of wives were lower than those of husbands ( P<0.01) . In the score of marital adjustment, the wives scored (109.39±23.13) and the husbands scored (111.99±20.87) . The APIM analysis results show that in terms of subjective effects, the self-efficacy of both infertile couples could affect their own marital adjustment (β=0.166, 0.408; P<0.01) . In terms of object effects, the husbands' self-efficacy could affect the wives' marital adjustment (β=0.117, P<0.05) . Conclusions:The self-efficacy of infertile couples undergoing in vitro fertilization-embryo transfer cycle treatment is at the middle level, and the marriage adjustment is generally good. The self-efficacy of couples is closely related to their own marital adjustment, and the self-efficacy of husbands can also positively affect the wifes' marital adjustment. In clinical work, infertile couples should be regarded as a whole, focusing on the binary interaction between both parties, and developing targeted measures to help infertile couples improve their self-efficacy, thereby improving marital adjustment, improving health outcomes, and stabilizing family relationships.

Objective:To construct the prediction model of knee degeneration in patients with knee osteoarthritis based on bioelectrical impedance index, and evaluate the prediction performance and application efficiency of the model.Methods:This was a cross-sectional study. From May to July 2021, 248 knee joints of 124 patients with knee osteoarthritis at home from Shijiazhuang Yuqiang Community Health Service Center who participated in physical examination were selected by convenience sampling to establish the model. According to Kellgren-Lawrence (K-L) grading system, the knee joints were divided into four groups, namely K-L1 ( n=19) , K-L2 ( n=103) , K-L3 ( n=96) , and K-L4 ( n=30) . The indicators included in the model were selected through analysis of variance or Kruskal-Wallis test, and a prediction model of knee degeneration was established using support vector machine, and the model was optimized using grid parameter optimization method. The prediction performance of the model was evaluated by the area under the receiver operating characteristic (ROC) curve, sensitivity, specificity, accuracy, positive predictive value and negative predictive value. Results:The indicators in the model included age, complications, lumbar/back/hip pain, high-risk occupation, Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) -pain, WOMAC-function, capacitive reactance and phase angle. The area under the ROC curve of the training set model was 0.999, the prediction accuracy was 0.920, and the 95% confidence interval was 0.868 to 0.957. The area under the ROC curve of the test set model was 0.833, the prediction accuracy was 0.682, and the 95% confidence interval was 0.572 to 0.780.Conclusions:The prediction model of knee degeneration has good prediction performance and is easy to use, which can be used as a screening tool for knee degeneration in patients with knee osteoarthritis.

Objective:To evaluate the effects of different psychological interventions on depression and pain in patients with arthritis using the method of network Meta-analysis.Methods:Randomized controlled trials (RCTs) on psychological interventions for arthritis patients were systematically searched in PubMed, Embase, Cochrane Library, CINAHL, Web of Science, PsycINFO, WanFang and CNKI databases. The retrieval time limit was from the establishment of databases to September 30, 2021. The literature was screened according to inclusion and exclusion criteria, and quality was assessed using the Cochrane Manual recommended RCT bias risk assessment tool. STATA 15.0 software was used for network Meta-analysis according to frequency framework.Results:A total of 59 RCTS were included, involving 8 psychological interventions and 5 726 patients. For the primary outcome of depression, at post-intervention, the ranking results showed that relaxation was the most likely to be the best intervention. However, in the comparison of different intervention effects, only cognitive behavioral therapy showed statistically significant difference compared with the control group ( P<0.05) . At follow-up, the ranking results showed that cognitive behavioral therapy was the most likely to be the best, and the difference was statistically significant compared with the control group ( P < 0.05) . After intervention, for the secondary index pain, the ranking results showed that hypnosis intervention was the most likely to be the best, but the intervention effect of relaxation intervention and cognitive behavioral therapy was statistically significant compared with the control group ( P< 0.05) . At follow-up, the ranking results showed that the best possibility of receiving commitment therapy was the highest, and the difference was statistically significant compared with the control group ( P < 0.05) . Conclusions:Cognitive behavioral therapy has the best effect on depression indicators in arthritis patients, and relaxation intervention and acceptance commitment therapy have the best effects on pain indicators after intervention and at follow-up, respectively. The potential interventions include relaxation intervention and hypnosis intervention, which are worthy of further study.

Objective:To explore the effect of the wearable low-level light therapy (LLLT) device on joint pain and knee function in community patients with knee osteoarthritis.Methods:From September 2021 to February 2022, the convenience sampling was used to select 57 middle-aged and elderly patients with knee osteoarthritis who met the inclusion criteria from 8 communities in Shijiazhuang as the study subject. The patients were randomly divided into intervention group ( n=27) and placebo group ( n=30) based on the community. The intervention group used wearable LLLT device to treat bilateral knee joints, while the placebo group wore the same phototherapy device, with the same frequency and duration as the intervention group, but did not turn on the light source. The patients were investigated with the Graphical Knee Osteoarthritis Patient Self-assessment Questionnaire and knee function test, and the joint pain and knee function of the two groups of patients during the study period were compared. Results:A total of 45 patients with knee osteoarthritis in the community completed the study, including 21 in the intervention group and 24 in the placebo group. The results of the Graphical Knee Osteoarthritis Patient Self-assessment Questionnaire showed that the total pain score of the intervention group were lower than that of the placebo group at the third and eighth weeks, with statistically significant differences ( P<0.01). At the eighth week, the scores of knee rest pain, starting pain and joint chills in the intervention group were significantly lower than those in the placebo group, and the differences were statistically significant ( P<0.01). The score of exercise pain in the third and eighth weeks showed a lower trend than that in the placebo group (0.01< P<0.05). There was no statistical difference in knee function test results between the two groups at the beginning of intervention and at the third week ( P>0.05) . Conclusions:Wearable LLLT devices can relieve the joint pain in patients with knee osteoarthritis in the community, but no significant improvement was found in knee function. The effect of wearable LLLT devices still needs to be further verified by multi-center, large sample and long-term follow-up study.