To explore the relationship between oral hygiene behavior and depression level in elderly people.

This article used the 2018 data from the Chinese Elderly Health Longevity Factors Survey (CLHLS) to select 10 148 eligible research subjects. Pearson correlation analysis was used to explore the correlation between oral hygiene behavior, dietary diversity, life satisfaction, and depression levels in the elderly. The Process4.1 plugin model in SPSS was used to analyze the mediating role of dietary diversity and life satisfaction between oral hygiene behavior and depression levels in the elderly.

The direct impact of oral hygiene behavior on depression levels in the elderly was significant (β=-0.206,P<0.01); Dietary diversity and life satisfaction significantly affected the level of depression in elderly people (β=-0.270, P<0.01); (β=-2.992,P<0.01); The mediating effects of dietary diversity and life satisfaction on the relationship between oral hygiene behavior and depression levels in elderly individuals were-0.069 (95%CI:-0.088 - -0.051) and -0.099 (95%CI:-0.145 - -0.055), respectively, with a chain mediation effect of -0.060 (95%CI:-0.071 - -0.049).

Dietary diversity and life satisfaction have a mediating effect between oral hygiene behavior and depression levels in the elderly, and there is a chain mediating effect between dietary diversity and life satisfaction and depression levels in the elderly.

To study the risk factors for health-related quality of life (HRQoL) changes in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD) under different multimorbidity patterns.

AECOPD patients in five hospitals in Shanxi Province were selected from September 2021 to September 2023, and 214 patients were finally included. The minimal clinically important differences(MCID) of St George’s Respiratory Questionnaire (SGRQ) was combined to assess the HRQoL of the patients. This study started from multimorbidity (refer to ICD-10), multimorbidity patterns stratification was performed based on latent class analysis (LCA), and then ordered logistic regression analysis was used to analyze the risk factors affecting the change of SGRQ score at 3 months after discharge of patients with different multimorbidity patterns.

Patients were divided into “cardiovascular disease group” and “cor pulmonale low burden group” through potential category analysis. Ordered logistic regression results showed that at 3 months after discharge, the probability of clinically significant increased in SGRQ in patients with high BMI (OR=2.96, 95%CI: 1.09-8.34, P=0.035) and patients with high direct bilirubin (OR=2.96, 95%CI: 1.07-8.35, P=0.037) in the cardiovascular disease group were 2.96 times higher than that of normal patients; the probability of clinically significant increased in SGRQ in patients with high direct bilirubin (OR=3.25, 95% CI:1.35-7.97, P=0.009) and patients with low oxygen saturation (OR=2.35, 95%CI:1.05-5.55, P=0.043) in the cor pulmonale low burden group were 3.25 and 2.35 times higher than those of normal patients (P<0.05).

The prognostic risk factors of AECOPD patients with different multimorbidity patterns are different, and regardless of the multimorbidity patterns, high direct bilirubin is an independent risk factor for HRQoL changes in patients with AECOPD. Moreover clinicians should closely detect in the the abnormal changes in BMI in AECOPD patients with cardiovascular disease.

To explore the potential categories of primary caregiver burden in families of cancer patients and their potential related factors, and to provide scientific basis for more targeted policy interventions.

From February to April 2023, we conducted a questionnaire survey among the primary family caregivers of cancer patients at the Third Affiliated Hospital of Harbin Medical University using convenience sampling. Latent profile analysis was employed to identify potential categories of caregiver burden. The modified BCH method was used to assess the differences in family resilience, individual resilience, and caregiving ability across different burden categories.

A total of 367 participants were included in the study, and their caregiving burden was divided into two categories, named "mild caregiver burden group" and "moderate and severe caregiver burden group". The respondents of "moderate to heavy caregiver burden" were mostly female who were highly educated and had spouse and children. Different potential categories of family caregiver burden profiles showed statistically significant differences in family resilience (χ²=5.333，P=0.021), individual resilience (χ²=31.687，P<0.001), and caregiving ability (χ²=13.391，P<0.001).

There are heterogeneous subgroups of primary caregiver burden in families of cancer patients, and policy makers should implement targeted interventions to reduce the burden of primary caregivers for families with cancer patients, and to improve their personal and family resilience and caring abilities.

To explore the effects and mechanisms between chronic pain and depression in middle-aged and older adults in China, and to provide reference for promoting pain management and improving interventions.

13,253 middle-aged and older adults from the fifth issue of the China Health and Retirement Longitudinal Study (CHARLS) were included. Propensity score matching method, logit model, OLS regression and Bootstrap mediation test were used to explain the mediating effects of subjective life expectancy (SLE), sleep duration and Internet use between chronic pain and depression and the moderating role of social participation.

The overall effect size of chronic pain on depression was 0.876 (95%CI=0.781-0.972), with a direct effect of 0.745 (95%CI=0.668-0.822), accounting for 85.05%, and an indirect effect of 0.131 (95%CI=0.094-0.169), accounting for 14.95%. The mediating effects of SLE, sleep duration, and Internet use were 0.087 (95%CI=0.071-0.103), 0.093 (95%CI=0.066-0.121), and -0.049 (95%CI=-0.085--0.013), representing 9.93%, 10.62%, and -5.60% of the total effect respectively. Social participation negatively moderated the relationship between chronic pain and depression（β=-0.095，95%CI=-0.186--0.004）.

Chronic pain not only directly exacerbates depression in middle-aged and older adults but also indirectly worsens depression through SLE and sleep duration. However, Internet use and social participation can have compensatory and alleviating effects. It is recommended that physical and psychological therapies be emphasized and applied simultaneously, with special attention given to key populations such as women, rural dwellers, and chronic patients. Additionally, “Internet plus healthcare” and grassroots communities should be utilized to enhance pain management and intervention for middle-aged and older adults.

To investigate the status of drug resistance of Mycobacterium tuberculosis(M.tuberculosis) isolated from drug resistance monitoring stations in Changsha from 2021 to 2023, and to provide reference for the control effect of drug-resistant tuberculosis.

The positive specimens from designated medical institutions in Changsha were collected and sent to our hospital together with the basic information of patients for further M.tuberculosis drug susceptibility test. Drug susceptibility tests were performed on all samples by proportional method, including 8 drugs, such as RFP, INH, EMB, SM, OFX, PAS, TH, KM, etc, and the qualitative data were analyzed by χ² test.

Among the 3 037 isolates, 2 534 were fully sensitive and 503 were drug-resistant, and the total drug resistance rate was 16.56%. Among them, 316 were single drug resistant, and the drug resistance rate was 10.41%. There were 81 multi-drug resistant strains (2.67%) and 106 poly-drug resistant strains (3.49%). The drug resistance sequences of any drug were INH, SM and RFP, 9.02%, 6.98% and 3.65%, respectively. The top three of multi-drug resistant patterns were INH+RFP (0.66%), INH+RFP+SM (0.4%) and INH+RFP+SM+EMB (0.36%), respectively. The top three poly-drug resistant patterns were INH+SM (1.15%), INH+TH1321 (0.4%) and INH+EMB (0.2%), respectively. In addition, from year of 2021 to 2023, the resistance of M.tuberculosis to RFP, EMB, and TH1321 drugs in Changsha area showed a decreasing trend year by year (P<0.05), but the overall resistance rate of patients in Changsha urban area was significantly higher than that in other districts and counties.

Compared with other provinces and cities, the overall drug resistance rate of tuberculosis patients in Changsha is low, but the drug resistance rate of tuberculosis in Changsha urban area is significantly higher than that in other districts and counties, which should arouse the attention of relevant departments.

To explore the epidemiological characteristics of human brucellosis in Inner Mongolia from 2021 to 2023 and the spatial variation of meteorological factors affecting its incidence, providing a scientific basis for prevention, control, and public health resource allocation.

The de-identified human brucellosis case data from January 1st, 2021 to December 31st, 2023, were collected from the Inner Mongolia Center for Disease Control and Prevention. Descriptive analysis was used to study three distributions of human brucellosis in Inner Mongolia. A mixed local autoregressive geographical weighted regression model analyzed the monthly spatial autocorrelation and heterogeneity of brucellosis. The model’s fitting effect was compared with spatial autoregressive, geographical weighted regression, and local autoregressive geographical weighted regression models.

From 2021 to 2023, 56,483 cases of brucellosis in Inner Mongolia, with a peak incidence from March to July. The incidence in males was 53.67 per 100,000, significantly higher than in females (χ² = 25.803，P<0.05). Farmers comprised the largest proportion of cases. The highest incidence occurred in people aged 41 to 60 (43.60 per 100,000). Brucellosis incidence in Inner Mongolia showed a positive spatial correlation, with high-incidence areas mainly in the east and west. The Mixed GWR-LSAR model had the best fit. The effects of wind speed, temperature, pressure, and evaporation varied spatially.

Brucellosis in Inner Mongolia exhibited seasonal, demographic, and spatial patterns, with varying meteorological impacts across months and regions. Therefore, prevention and control strategies should be targeted and regional to effectively reduce the risk.

To analyze the changes in mortality and DALYs of cancer attributed to high Body-Mass Index (BMI) from 1990 to 2021 in China, to provide scientific basis for formulating prevention and control strategies for cancer.

Data on mortality and DALY rates attributed to high BMI in China from 1990 to 2021 were extracted from the Global Burden of Disease(GBD) 2021 database. The Joinpoint software was used to analyze the trends of these mortality and DALY rates, while age-period-cohort models were employed to investigate the effects of age, period, and cohort.

Compared with 1990, the standardized mortality rate and DALY of cancer attributed to high BMI in China showed an upward trend in 2021, with increases of 106.62% and 102.27%, respectively, and AAPCs of 2.4% and 2.3%. From 1990 to 2021, the mortality rate and DALY of cancer attributed to high BMI in various age groups in China showed an upward trend, with a significantly faster increase in the 25- and 60-79-year-old age groups. The global changes in the standardized mortality rate of cancer attributed to high BMI among Chinese populations, including men and women, from 1990 to 2019 were 1.92(95% CI: 1.80-2.04), 2.74(95%CI: 2.60-2.88), and 0.94(95% CI: 0.80-1.07), respectively; The global changes in standardized DALY rates were 1.97(95% CI:1.86-2.08), 2.76(95% CI:2.62-2.90), and 1.02(95% CI:0.93-1.11), respectively.

From 1990 to 2021, the burden of cancer attributed to high BMI in China shows an upward trend, with the most rapid growth among males and people aged 60-79 years. Effective strategies for the prevention and control of overweight and obesity should be implemented to reduce the burden of cancer.

To explore the potential categories and influencing factors of complication risk perception in inpatient with type 2 diabetes mellitus.

A total of 400 patients with type 2 diabetes mellitus who were hospitalized in three tertiary-level hospitals in Tangshan city from August 2023 to January 2024 were randomly selected and included in the whole group. General information questionnaire, Risk Perception Survey-Diabetes Mellitus, Connor-Davidson Resilience Scale, Brief Illness Perception Questionnaire were used for investigation. Using multi-categorical logistic regression analysis to explore the influencing factors.

Inpatients with type 2 diabetes could be divided into high confidence low disease risk perception group (40.25%), appropriate risk perception group (40%), and high concern high disease risk perception group (19.75%). Multi-categorical logistic regression analysis showed that high disease perception score(OR=0.808, 95% CI:0.762-0.858)was a protective factor for the high confidence low disease risk perception group, high psychological resilience score(OR=1.159, 95% CI:1.087-1.235)was a risk factor for the high confidence low disease risk perception group; educational attainment of college and above (OR=23.567, 95% CI:2.807-198.242),havingdiabetes complications(OR=3.408,95% CI:1.315-8.834), high disease perception score (OR=1.320, 95% CI:1.202-1.451)were risk factors for the high concern high disease risk perception group, the main access to diabetes knowledge was healthcare professionals(OR=0.101, 95% CI:0.029-0.355)and high psychological resilience score (OR=0.817, 95% CI:0.747-0.894)were protective factors for the high concern high disease risk perception group.

Perceived risk of complications in inpatients with type 2 diabetes can be categorized into 3 classes, and there are obvious classification characteristics among groups. Healthcare professionals can implement precise measures for different categories of patients to improve their level of perceived risk of complications.

To analyze the associated factors affecting depressive symptoms in middle school students and to construct a risk prediction line graph model to assess the risk of developing depressive symptoms in middle school students.

A total of 1 088 middle school students were selected to participate in the monitoring and intervention project of common diseases and health influencing factors in Zhongmu County, Zhengzhou City, using the information collected from the questionnaires. A multivariate logistic regression analysis was employed to identify the factors that influenced the occurrence of depressive symptoms, and a column graph was established to predict the risk of depressive symptoms in middle school students.

The prevalence of depressive symptoms among middle school students reached 28.50%. Female students (OR=2.051,95% CI：1.475-2.851), living in school (OR=1.496,95% CI：1.069-2.093), abnormal family (OR=1.615,95% CI：1.013-2.530), beaten and scolded by parents within one month (OR=3.516,95% CI：2.159-5.726), smoking (OR=2.044,95CI：1.298-3.219), serious injury within one year (OR=2.576,95CI：1.225-5.417), bullying(OR=3.276,95CI：1.113-9.643), internet addiction (OR=7.421,95CI：4.624-11.909) can increase the risk of depressive symptoms in middle school students. Average daily fruit intake in a week (<1time/day: OR=0.513,95% CI：0.306-0.863; ≥1time/day: OR=0.500,95% CI：0.290-0.863), reduce the risk of depressive symptoms in middle school students. The Nomogram model based on the above factors had good differentiation (AUC=0.752) and accuracy (Hosmer-Lemeshow test result χ²=3.657, P>0.05).

Middle school students who are girls, live in school, abnormal families, beaten by parents within one month, seriously hurt within one year, smoking, bullying and Internet addiction are more likely to have depressive symptoms. The column-chart can be used to predict the risk of depression symptoms in middle school students effectively, so as to take timely intervention measures for high-risk groups.

To understand the status and problems of rehabilitation resource allocation in the system of the China Disabled Persons Federation and provide a reference for the rational allocation of rehabilitation resources in the system of the China Disabled Persons Federation.

Based on the health resource density index and rank sum ratio method, the rehabilitation resource allocation status of the disabled person's federation system in 31 provinces (municipalities) in my country in 2022 was comprehensively measured, analyzed, and evaluated.

The regression equation of Probit and RSR was RSR= -0.779+0.255*Probit value (F=1 206.958, P≤0.001), indicating that the regression line equation was statistically significant and representative. According to the optimal grading principle of the rank sum ratio method, the rehabilitation resource allocation status of the disabled person's federation system in my country was divided into three grades, with Probit>6 in 5 provinces and cities such as Shanghai, and a good allocation status; 4<Probit<6 in 22 provinces and cities (autonomous regions) such as Heilongjiang, and a medium allocation status; Probit<4 in 4 provinces and cities (autonomous regions) such as Tibet, and a poor allocation status.

The overall situation of rehabilitation resource allocation in the system of the disabled person's federation is good, but there is still a lack of total amount and differences between the East and West. Optimizing the inter-regional flow mechanism of rehabilitation service resources, improving the diversified pattern of rehabilitation resources in some provinces (cities), and promoting the efficient development of rehabilitation resource allocation are recommended.