Objective:To analyze the association between household and leisure-time physical activity (HLPA) and the risk of cardiometabolic multimorbidity (CMM) in the elderly.Methods:This retrospective cohort study utilized three longitudinal datasets from the Chinese Longitudinal Healthy Longevity and Happy Family Study (CLHLS-HF) covering 2008-2018, 2011-2018, and 2014-2018. A total of 10 876 participants aged ≥65 years who completed at least one follow-up were enrolled for cohort analysis. The general data, lifestyle, histories of chronic diseases, and physical examination results were collected. The HLPA score was utilized as an indicator to assess the degree of HLPA participation of the study subjects, the subjects were divided into 4 groups by quartile of HLPA score (Q1, Q2, Q3, and Q4), and were stratified jointly by sex, type of residence and household income; stratified Cox regression was applied to analyze the association between HLPA score and the risk of CMM morbidity, and Cox regression combined with restricted cubic spline (RCS) model was utilized to analyze the dose-response relationship between HLPA score and CMM morbidity.Results:The cohort was observed for a total of 51 630.24 person-years, with a median follow-up time of 3.95 (2.57, 6.04) years, with 576 new cases of CMM and an incidence density of 11.16 per 1 000 person-years. Compared with the HLPA score Q1 group, the risk of CMM morbidity was significantly reduced by 31%, 41%, and 44% in the elderly in the Q2 ( HR=0.69, 95% CI: 0.53-0.90), Q3 ( HR=0.59, 95% CI: 0.45-0.77) and Q4 ( HR=0.56, 95% CI: 0.42-0.74) groups, respectively (all P<0.05). The HLPA score was non-linearly associated with CMM morbidity ( P for nonlinear=0.010), with the risk of CMM morbidity decreasing with the increase of HLPA score, with a significant downward trend up to the median, after which the decline leveled off. There was an interaction between the HLPA score and exercise ( P for interaction=0.016); there was a negative association between the HLPA score and the risk of CMM morbidity in the no-exercise population ( HR=0.65, 95% CI: 0.52-0.80, P<0.001). Conclusion:There is a nonlinear negative association between HLPA and the risk CMM morbidity in elderly in China, and interventions focused on those who do not exercise may yield better results.

Objective:To explore the feasibility of active surveillance for multifocal papillary thyroid microcarcinoma(PTMC).Methods:It was a cross-sectional study. The thyroid ultrasonography data from 124 580 health check-up participants in the Health Management Center at the Affiliated Zhongshan Hospital of Dalian University between March 2017 and December 2023 were retrospectively analyzed. The patients were divided into unifocal or multifocal group according to the number of PTMC. The rates of growth, lymph node metastasis and progression in the unifocal and multifocal PTMC group during active surveillance were compared by using the Kaplan-Meier method and the log-rank test. The patients were divided into the group of progression or no-progression according to the outcome of active surveillance, and the basic clinical characteristics between the groups were compared. The Cox proportional hazards regression analysis was used to identify the risk factors for the progression of PTMC.Results:A total of 304 patients were enrolled in this study, among them, there were 239 cases of unifocal PTMC and 65 cases of multifocal PTMC. There was no significant differences in the rates of growth, lymph node metastasis and progression in the PTMC between the two groups during active surveillance (all P>0.05). During the active surveillance period, a total of 47 cases of PTMC progressed, while 257 cases did not. The progression rate was 15.5%. There was statistically significant difference in the initial age of PTMC diagnosis between the progression and non-progression group ( P<0.05). Multivariate regression analysis showed that age of initial diagnosis was the only risk factor for the progression of PTMC, the risk of progression decreased by 0.079 for every one-year increase in the initial diagnosis age [ HR=0.921, (95% CI: 0.888-0.955), P<0.001], multifocality was not a risk factor[ HR=1.973, 95% CI(0.972-4.462), P=0.103]. Conclusion:Active surveillance can be performed for multifocal PTMC in patients of appropriate age.

Objective:To analyze different smoking behaviors and their influencing factors of middle school students in Fujian Province in 2021.Methods:This study was a cross-sectional study based on the data of the National Tobacco Epidemic Survey in Fujian Province in 2021. A multi-stage stratified cluster random sampling method was used to investigate tobacco prevalence among middle school students at 10 monitoring points in Fujian province in 2021. A total of 7 681 subjects were investigated and 7 652 subjects were included in the study. The tobacco prevalence rates of different smoking behaviors were compared and the influencing factors were analyzed by multivariate logistic regression.Results:In 2021, the attempted smoking rate of middle school students in Fujian Province was 15.2%, the current smoking rate was 2.9%, and the regular smoking rate was 1.1%. Among the students with the 14 factors investigated, there were statistically significant differences in smoking behavior rates ( P<0.05). The students with the factor of "good friends smoking" had the highest rate of trying smoking (34.9%) (χ 2=825.65).The students with the factor of " feeling more comfortable with social smoking" had the highest rate of current smoking (16.0%) (χ 2=492.75). The students with the factor of "social smoking makes people more comfortable" had the highest rate of regular smoking (9.0%) ( χ2=334.56) ( P<0.001 for all). The results of multivariate logistic regression analysis showed that the influencing factors of different smoking behaviors were different. Among them, male students, good friends who smoke, students who think that social smoking makes people more comfortable, and not receiving tobacco control information from the media were common risk factors for middle school students to try smoking, smoke currently and smoke frequently. The most significant risk factors for different smoking behaviors were: (1) Attempted smoking rate: good friends smoking (34.9%, OR=3.402); (2) current smoking rate: good friends smoking (9.9%, OR=9.417); (3) regular smoking rate: social smoking makes people more comfortable (9.0%, OR=18.383). Urban students ( OR=0.666) were the protective factor for trying smoking; general high school ( OR=0.424) was a protective factor for smoking. Conclusions:In 2021, middle school students in Fujian Province have three types of smoking behaviors: try smoking, current smoking and frequent smoking. The common main influencing factors are gender, whether good friends smoke, social smoking makes people more comfortable, and whether they have accepted tobacco control messages from the media.

Objective:To develop a post competence assessment scale for nurses in the health management (physical examination) center and assess its reliability and validity.Methods:This study adopted an empirical approach. A total of 801 nurses from the health management (physical examination) center were recruited to participate in this study. A research team was formed in August 2024. This team transformed the previously constructed core competence evaluation index system for health management specialist nurses in the health management (physical examination) center (comprising 6 first-level indicators and 70 third-level indicators) into a preliminary post competence assessment scale. Seven experts evaluated the content validity of the scale. In September 2024, a pilot survey was conducted among 27 nurses from the health management (physical examination) center of Sichuan Provincial People′s Hospital using convenience sampling. From October to November 2024, the first main survey was administered to 385 nurses of health management (physical examination) center across 54 cities in China using both convenience sampling and snowball sampling methods, followed by exploratory factor analysis (EFA). Subsequently, utilizing the refined scale obtained after eliminating certain items, a second main survey was conducted among 389 nurses in the health management (physical examination) center, followed by a confirmatory factor analysis (CFA). The reliability of the final scale was assessed using Cronbach′s α coefficient, split-half reliability, composite reliability, and test-retest reliability.Results:The finalized scale for nurses′ post competency in health management (physical examination) center comprises five dimensions—basic nursing service competency, health management practice competency, knowledge integration competency, professional development competency, and professional attitude—with a total of 57 items. The item level content validity index (I-CVI) of the items of the content validity display scale ranged from 0.857 to 1.000, and the content validity index of each dimension ranged from 0.984 to 1.000. The scale-level Content Validity index/average (S-CVI/Ave) was 0.995. The contribution rate of the 6 factors extracted by EFA was 74.07%. After group discussion and CFA, the scale of the 5-factor structural equation model was constructed. The total Cronbach′s α coefficient of the scale was 0.986, the split-half reliability was 0.865, the composite reliability was 0.960-0.980, the total table test-retest reliability was 0.762, and the test-retest reliability of each dimension was 0.681-0.731.Conclusion:The developed assessment scale for assessing the post competence of nurses in the health management (physical examination) center demonstrates excellent reliability and validity.

Objective:To analyze the application effect of the case-based learning (CBL), lecture-based learning (LBL) and seminar three-track stereoscopic model in the teaching of health management for chronic diseases.Methods:In this non-randomized controlled trial, a total of 70 five-year clinical medicine major undergraduate students were continuously selected as the research subjects in the Air Force Medical University during 2023-2024 year. The students enrolled the chronic disease health management course. Thirty-five cases in 2023 were assigned to the control group, while 35 cases in 2024 were assigned to the experimental group. The control group were taught by the traditional teaching method, while experimental group were taught with a combined model of CBL, LBL, and Seminar. The number of class hours for both groups were 30, with a class frequency of 2 class hours per week. The intervention period began with the first class and ended after the last class, totaling 15 weeks. The general information, medical professional courses and basic knowledge of chronic disease health management scores in the two groups were collected before intervention. The learning effect and satisfaction rate were evaluated through teaching satisfaction score, assessment assignments, practical ability score and excellent rate, autonomous learning ability score at 15 weeks after the intervention.Results:Among the 70 participants, 37 were male and 33 were female, with a mean age of (21.00±0.27) years. Before the intervention, there was no statistically significant differences in the general information, medical professional courses and basic knowledge of chronic disease health management scores between the two groups (all P>0.05). Fifteen weeks after the intervention, the experimental group had significantly higher scores in teaching content score, teaching method score, assessment assignment, final grade, practical ability scores, excellent rate of practical ability, self-management ability score, information literacy score, and learning cooperation ability score when compared to those in the control group [(93.3±6.9) vs (80.1±7.8) points, (97.1±6.3) vs (81.0±9.6) points, (91.1±7.8) vs (80.1±8.9) points, (92.9±9.4) vs (81.8±9.8) points, (91.3±7.6) vs (80.3±8.7) points, 54.3% vs 22.9%, (27.3±4.8) vs (22.8±6.8) points, (26.9±3.9) vs (20.8±4.1) points, (35.9±8.1) vs (28.9±7.1) points] (all P<0.05). Conclusion:Implementing of CBL, LBL, and Seminar teaching model in the chronic disease health management curriculum significantly enhances teaching effectiveness and improves students' overall competencies.

Objective:To analyze the latent profile characteristics of self-management ability in patients with metabolic-associated fatty liver disease (MAFLD) and explore its influencing factors.Methods:This was a cross-sectional study. A total of 311 patients with metabolic-associated fatty liver disease (MAFLD) were selected from the First Affiliated Hospital of Sun Yat-sen University (including those receiving treatment and undergoing physical examinations) between August and October 2024. Data were collected using a general information questionnaire, the self-management Scale for Patients with Non-Alcoholic Fatty Liver Disease, and the Social Support Rating Scale. After excluding 51 patients due to incomplete questionnaire responses or logical inconsistencies, 260 patients were finally included in the analysis. Latent profile analysis was used to identify potential categories of patients′ self-management abilities. With the latent categories as the dependent variable and items with P<0.05 in univariate analysis as independent variables, a multivariate logistic regression analysis (with the "poor self-management group" as the reference group) was performed to explore the influencing factors. Results:Among the 260 participants included in the study, three potential categories of self-management behaviors were finally identified, namely the active self-management group with 106 cases (40.8%), the moderate self-management group with 118 cases (45.4%), and the passive self-management group with 36 cases (13.8%).Results of multivariate logistic regression analysis showed that, compared with the passive self-management group:Patients who resided in rural areas ( OR=0.130, 95% CI: 0.040-0.420), often stayed up late ( OR=0.200, 95% CI: 0.060-0.590), or had an average daily sleep duration of≤5 hours ( OR=0.160, 95% CI: 0.050-0.510) had a significantly lower probability of belonging to the "active self-management group";In contrast, patients with an education level of senior high school or above ( OR=7.530, 95% CI: 1.740-34.160) or a higher total score of social support ( OR=1.120, 95% CI: 1.030-1.210) had a significantly higher probability of being in the "active self-management group" (all P<0.05). Conclusion:There is heterogeneity in self-management ability among patients with metabolic associated fatty liver disease (MAFLD). Residential area, educational level, frequency of staying up late, average daily sleep duration, and social support are influencing factors of patients′ self-management ability.

Objective:To analyze the detection status and its influencing factors of ovarian-adnexal masses in the physical examination population based on the Ovarian-Adnexal Imaging Reporting and Data System (O-RADS) of the American College of Radiology.Methods:This cross-sectional study retrospectively analyzed the clinical data of 24 316 physical examination participants who underwent gynecological color Doppler ultrasound examinations at the Health Management Center of Tianjin Medical University General Hospital from January to December 2021. The subjects were classified and followed-up according to O-RADS, and the detection rate and malignancy rate of ovarian-adnexal masses in different classifications were compared. According to O-RADS classification criteria, the physical examination population were divided into healthy control group (without ovarian-adnexal masses and O-RADS 1 class, 23 188 cases), benign group (O-RADS 2 class, 946 cases) and malignant group (O-RADS 3-5 class, 182 cases). The basic information of the three groups were compared, including age, body mass index (BMI), menopausal status, marital status, smoking history, drinking history, physical exercise, complete blood count, blood glucose, blood lipids, tumor markers, etc. The logistic regression was used to analyze the factors affecting the detection of ovarian-adnexal masses.Results:A total of 24 316 individuals were included, 1 678 with ovario-adnexal masses were screened, among the cases, there were 550 normal premenopausal ovaries (32.78%), and 1 128 cases were confirmed with pathological masses (67.22%). Of the 318 cases with follow-up records, the malignancy rate for O-RADS 4 class was 50%, and for O-RADS 5 class, it was 100%, according to the follow-up results. The age ( OR=1.320, 95% CI: 1.055-1.653), BMI ( OR=0.972, 95% CI: 0.954-0.989), carbohydrate antigen 125(CA125) ( OR=1.090, 95% CI: 1.023-1.161), postmenopausal ( OR=0.919, 95% CI: 0.892-0.947) and married and cohabiting ( OR=0.921, 95% CI: 0.895-0.949) were positively correlated with risk of ovarian-adnexal masses (all P0.05). Conclusions:The O-RADS classification system has high application value in evaluating the malignant risk of ovarian-adnexal masses; the age, BMI, CA125 levels, menopausal status, and marital status are significant influencing factors for the detection of ovarian-adnexal masses.

Objective:To analyze the comorbidity patterns between thyroid dysfunction and other common cardiometabolic diseases.Methods:In this cross-sectional study, 93 967 participants aged 18 years or older who underwent thyroid function tests at the Health Checkup Center of China-Japan Friendship Hospital between 2017 and 2024 were included. The comorbidity patterns between thyroid dysfunction and six common cardiometabolic diseases of obesity, diabetes, hypertension, dyslipidemia, hyperuricemia, and non-alcoholic fatty liver disease (NAFLD) were described systematicly. The logistic regression models was used to analyze the association between thyroid dysfunction and these cardiometabolic diseases.Results:The detection rates of subclinical hyperthyroidism, overt hyperthyroidism, subclinical hypothyroidism, and overt hypothyroidism in those participants was 1.9%, 0.9%, 3.7% and 1.1%, respectively. The proportion of the paticipants with subclinical hyperthyroidism, overt hyperthyroidism, subclinical hypothyroidism, and overt hypothyroidism who had at least one comorbid cardiometabolic disease was 67.5%, 64.8%, 73.5%, and 77.6%, respectively; the proportion of those participants with two or more concurrent cardiometabolic diseases was 38.6%, 36.7%, 42.8%, and 47.5%, respectively; and the proportion with three or more concurrent cardiometabolic diseases was 19.0%, 18.1%, 22.9%, and 27.5%, respectively. After adjusting for age and gender, the participants with overt hypothyroidism (≥2 comorbidities: OR=1.7, 95% CI: 1.5-1.9;≥3 comorbidities: OR=1.8, 95% CI: 1.5-2.1) or subclinical hypothyroidism (≥2 comorbidities: OR=1.3, 95% CI: 1.2-1.4;≥3 comorbidities: OR=1.3, 95% CI: 1.2-1.4) had a significantly higher risk of multiple cardiometabolic diseases when compared with euthyroid individuals. Analysis of comorbidity patterns revealed that individuals with overt hyperthyroidism ( OR=1.8, 95% CI: 1.0-3.1) and subclinical hyperthyroidism ( OR=1.5, 95% CI=1.0-2.2) had a significantly higher risk of the “NAFLD+hypertension” comorbidity complex when compared with euthyroid individuals. Similarly, individuals with overt hypothyroidism ( OR=1.7, 95% CI: 1.2-2.3) and subclinical hypothyroidism ( OR=1.3, 95% CI: 1.1-1.5) had a significantly higher risk of the “dyslipidemia+NAFLD+hyperuricemia” comorbidity complex when compared with euthyroid individuals. Conclusion:Individuals with thyroid dysfunction exhibit a high prevalence of comorbid cardiometabolic diseases, highlighting the need for future research on integrated management strategies for multimorbidity in this population.

Objective:To explore the correlation between the ratio of serum free triiodothyronine/free thyroxine (FT3/FT4) and carotid atherosclerosis in a population undergoing physical examination.Methods:This retrospective cross-sectional study consecutively enrolled 4 031 adult healthy examinees who underwent both carotid ultrasound and serum thyroid hormone level testing at the Health Management Center of Shengjing Hospital Affiliated to China Medical University from January 2017 to December 2023. The general information, anthropometric measurements, and related laboratory indicators were collected. Based on carotid ultrasound results, the participants were divided into carotid atherosclerosis group (2 382 cases) and non-carotid atherosclerosis group (1 649 cases). According to the median FT3/FT4 ratio (0.35), participants were further categorized into a high FT3/FT4 ratio group (1 998 cases) and a low FT3/FT4 ratio group (2 033 cases). Receiver operating characteristic (ROC) curve analysis was performed to assess the diagnostic value of serum FT3/FT4 levels for carotid atherosclerosis. Additionally, the carotid atherosclerosis group was subdivided into carotid intima-media thickness (CIMT) thickening group (1 006 cases) and plaque formation group (1 376 cases). Stepwise logistic regression analysis was used to assess the correlation between FT3/FT4 levels and different severity of carotid artery stiffness.Results:Among the 4 031 health examinees included in the study, the detection rate of carotid atherosclerosis was 59.09% (2 382/4 031). The FT3/FT4 ratio in the carotid atherosclerosis group was significantly lower than that in the non-carotid atherosclerosis group (0.34 vs 0.39, Z=-19.958, P<0.001). The incidence rate of carotid atherosclerosis in the high FT3/FT4 ratio group was significantly lower than that in the low FT3/FT4 ratio group (46.7% vs 71.3%, Z=251.797, P<0.001). Multivariate regression analysis revealed that the FT3/FT4 ratio was an independent protective factor for carotid atherosclerosis ( OR=0.493, 95% CI: 0.458-0.529), with a protective effect comparable to high-density lipoprotein cholesterol ( OR=0.659, 95% CI: 0.543-0.801), while fasting blood glucose ( OR=1.566) and low-density lipoprotein cholesterol ( OR=1.164) were risk factors. ROC curve analysis showed that the area under the curve (AUC) of the FT3/FT4 ratio for diagnosing carotid atherosclerosis was 0.685 (sensitivity 79.3%, specificity 50.2%, cutoff value 0.39). In the analysis of carotid atherosclerosis subtypes, the FT3/FT4 ratio in the plaque formation group (0.328) was significantly lower than that in the CIMT thickening group (0.360) and the non-stiffness group (0.391)(all P<0.001), and it exhibited a stronger protective effect against plaque formation ( OR=0.297, 95% CI: 0.256-0.344). Conclusion:The FT3/FT4 ratio shows a dose-response relationship with the severity of carotid artery sclerosis and can serve as an auxiliary screening indicator for individuals at high cardiovascular risk. To enhance diagnostic efficacy, it is recommended to integrate this measure with other metabolic indicators.

Objective:To explore the correlation between serum uric acid/high-density lipoprotein cholesterol ratio (UHR) and the risk of hypertension in elderly physical examination populations.Methods:This study was a cross-sectional study. A total of 1 028 patients aged≥60 years who underwent physical examinations at the Health Management Center of Fuwai Central China Cardiovascular Hospital from September 2023 to February 2024 were included in this study. The general demographic data, past medical history, physical examination and laboratory examination indicators of the physical examiners were collected, and according to whether they had hypertension or not, they were divided into hypertension group (390 cases) and non-hypertension group (638 cases), and all UHR values were arranged from small to large, and the UHR was divided into three groups by tertiles of UHR, and the general data and blood biochemical indexes between the groups were compared. Spearman rank correlation was used to analyze the correlation between UHR level and body mass index, total cholesterol, triglyceride and other indexes in the elderly population. Logistic regression was used to explore the relationship between UHR level and hypertension in the elderly population, and the stratification analysis of the physical examination population was carried out according to diabetes, coronary heart disease and dyslipidemia, and the interaction test between groups was carried out.Results:Among the 1 028 geriatric physical examination cases, 580 (56.4%) were males and 448 (43.6%) were females, aged (66.7±5.8) years. UHR levels were higher in the hypertensive group compared to the non-hypertensive group [248.88 (191.19, 322.25) vs 213.52 (165.94, 275.29); Z=-5.445, P<0.05]. With the increase of UHR level, the detection rate of hypertension in the elderly population increased (accounted for 27.8%, 38.2% and 47.8%, respectively; χ2=29.211, P<0.05). Spearman rank correlation analysis showed that UHR was positively correlated with body mass index, triglycerides, serum uric acid, serum creatinine and fasting blood glucose ( r=0.318, 0.334, 0.774, 0.474, 0.080; all P<0.05), and negatively correlated with total cholesterol, glomerular filtration rate and low-density lipoprotein cholesterol ( r=-0.239, -0.303, -0.154; all P<0.05). When the confounding factors were not adjusted (model 1), the risk of hypertension in high UHR group was 2.382 times higher than that in low UHR group and 1.607 times higher than that in medium UHR group; after adjusting for all confounding factors such as age, gender, body mass index, systolic blood pressure, diastolic blood pressure, junior high school education or below, smoking, alcohol consumption, glomerular filtration rate, etc., the risk of hypertension in the high-level UHR group was 1.732 times higher than that in the low-level UHR group (95% CI: 1.139-2.635) ( P<0.05). The elderly physical examination population was further stratified according to whether there was diabetes, dyslipidemia and coronary heart disease, and it was found that there was no interaction between UHR and diabetes, dyslipidemia and coronary heart disease on the prevalence of hypertension (all P>0.05). Conclusions:Hypertension detection rate increases with higher UHR levels. UHR is closely related to the incidence of hypertension in the elderly population.