This paper reviews the influencing factors and intervention of post-traumatic growth of breast cancer patients. The influencing factors include demographic factors, disease treatment related factors, intimate relationships, psychological resilience, rumination, cognitive evaluation and so on. Intervention measures involve conducting group psychotherapy, enhancing positive motivational effects between partners, carrying out emotional cognitive training and exercise therapy. In summary, this paper aims to provide ideas for actively implementing interventions for post-traumatic growth in clinical nursing.

Cardiovascular dysfunction and reduced exercise capacity are common adverse effects of anti-cancer treatments, severely impacting the prognosis and quality of life of cancer patients. This review summarizes the intervention protocols and application effects of resistance training on cardiovascular function and/or exercise capacity in cancer patients. The aim is to provide a reference for the practice of exercise interventions targeting cardiovascular function and exercise capacity among cancer patients in China.

Objective To analyze the risks and related influencing factors of early screening for lung cancer,and to study prognostic factors based on survival conditions,in order to ultimately provide baseline data for the prevention and treatment of lung cancer.Methods A cluster sampling method was used to select 40 to 75 year old registered residence residents in 10 districts and 6 counties of Zhengzhou City in 2020 as screening objects.Through voluntary participation and filling in evaluation questionnaires,high-risk groups of lung cancer were evalu-ated,and then three screening tests(tumor markers,low-dose spiral CT and lung function)were performed on high-risk groups.Finally,we will adopt an active and passive follow-up approach to collect information on diag-nosed lung cancer patients.Statistically describe the screening data and describe the epidemiological results of different characteristic populations;Using multivariate logistic regression method for statistical analysis,compare the differences in various results of different factors.Results 50128 cases of early screening for lung cancer in Zhengzhou City were evaluated in 2020,with a completion rate of 100.26%.The average age of the survey was(59.86±17.67)years old,and the gender ratio was 0.81∶1.The high-risk detection rate is 30.15%.Multivariate logistic regression analysis showed that males(smoking)(OR=5.43,95%CI:5.20～5.67),individuals with a history of tobacco exposure(OR=3.82,95%CI:3.67～3.98),first-degree relatives who had previously suffered from lung cancer(OR=12.06,95%CI:11.02～13.20),and other populations were more susceptible to lung cancer(all P<0.05).Conclusion Male(smoking),exposure to secondhand smoke,cancer in first-degree relatives,previous diagnosis of other tumors,symptoms of lung infection,"chest tightness,shortness of breath,and difficulty breathing in daily life",and"significant psychological trauma in the past 3 years"are independent risk factors for lung cancer,which should be given special attention and effective intervention measures should be taken.

Soft tissue and organ defects or degeneration,caused by trauma,disease,and aging,lead to a great burden on human health,and soft tissue regeneration technology has shown great promise for addressing these challenges.In recent years,interdisciplinary efforts in the fields of biomechanics,mechanobiology and regenerative medicine have highlighted the critical roles of mechanical cues in microenvironment in regulating soft tissue regeneration.Despite these advances,there is still a lack of comprehensive understanding regarding the mechanical features of soft tissues in clinical practice,and the full potential of such mechanical features for diagnosing and treating soft tissue diseases has not been fully known.In this review,the concept of'mechanomedicine for soft tissue regeneration'is proposed.Subsequently,the possible influence mechanisms of mechanical cues on soft tissue development and regeneration are systematically described from four distinct aspects,i.e.,multi-scale biomechanics of soft tissues,mechanobiology of soft tissue regeneration,mechanomedicine techniques for soft tissue regeneration,and applications of mechanomedicine for soft tissue regeneration.Finally,the potential of mechanomedicine in clinical diagnosis of soft tissue diseases and soft tissue defect repair is discussed,thereby providing a new direction for the development of mechanomedicine for soft tissue regeneration.

Objective To explore the effects of proteasome 20S subunit beta 8(PSMB8)on the prolif-eration,migration,and invasion of clear cell renal cell carcinoma(ccRCC)cells and whether PSMB8 promotes tumor progression by activating the mitogen-activated protein kinase kinase(MEK)/extracellular signal-regula-ted kinase(ERK)signaling pathway.Methods The Cancer Genome Atlas was employed to analyze the mRNA levels of PSMB8 in ccRCC and normal tissue,and the expression levels of PSMB8 in ccRCC tissue and cells were determined by real-time quantitative PCR,Western blotting,and immunohistochemistry.Furthermore,the cell lines with stable overexpression and knockdown of PSMB8 were constructed.The CCK-8 assay and colony forma-tion assay were employed to examine the cell proliferation,and the wound healing assay and Transwell assay were employed to examine the invasion and migration of cells.Kyoto Encyclopedia of Genes and Genomes pathway enrich-ment was performed to analyze the co-expressed genes of PSMB8.Western blotting was used to measure the phospho-rylation levels of the proteins in the MEK/ERK signaling pathway.Finally,the rescue experiment was carried out with the ERK agonist C16-PAF.Results Compared with the normal tissue,the ccRCC tissue showed up-regulated mRNA and protein levels of PSMB8(both P＜0.001),which were associated with the TNM stage of patients with ccRCC(P＜0.001).Compared with the negative control group,overexpression of PSMB8 promoted the prolifera-tion(P=0.021,P=0.039),migration and invasion(all P＜0.001)of 786-O and ACHN cells,and the knock-down of PSMB8 inhibited the proliferation(P=0.022,P=0.005),migration and invasion(all P＜0.001)of 786-O and ACHN cells.The pathway enrichment analysis of co-expressed genes of PSMB8 predicted the mitogen-ac-tivated protein kinase signaling pathway(P＜0.001).After the knockdown of PSMB8,786-O and ACHN cells showed lowered phosphorylation levels of MEK1/2(P=0.017,P=0.016)and ERK1/2(P=0.010,P=0.040)and down-regulated transcription levels of ERK downstream factors c-Myc(P=0.043,P=0.038),c-Fos(P=0.025,P=0.008),and CyclinD1(P=0.006,P=0.047).Compared with the ERK agonist C16-PAF group,the PSMB8 knockdown+C16-PAF group showed inhibited proliferation(P=0.003,P=0.002),migration and invasion(all P＜0.001)of 786-O and ACHN cells.Conclusion PSMB8 may promote the proliferation,migration,and invasion of ccRCC cells by activating the MEK/ERK signaling pathway.

Objective:To explore the impact of sleep duration, physical exercise, and their interactions on the risk of dyslipidemia in older adults aged ≥80 (the oldest old) in China.Methods:The study subjects were the oldest old from four rounds of Healthy Aging and Biomarkers Cohort Study (2008-2009, 2011-2012, 2014 and 2017-2018). The information about their demographic characteristics, lifestyles, physical examination results and others were collected, and fasting venous blood samples were collected from them for blood lipid testing. Competing risk model was used to analyze the causal associations of sleep duration and physical exercise with the risk for dyslipidemia. Restricted cubic spline (RCS) function was used to explore the dose-response relationship between sleep duration and the risk for dyslipidemia. Additive and multiplicative interaction model were used to explore the interaction of sleep duration and physical exercise on the risk for dyslipidemia.Results:The average age of 1 809 subjects was (93.1±7.7) years, 65.1% of them were women. The average sleep duration of the subjects was (8.0±2.5) hours/day, 28.1% of them had sleep duration for less than 7 hours/day, and 27.2% had sleep for duration more than 9 hours/day at baseline survey. During the 9-year cumulative follow-up of 6 150.6 person years (follow-up of average 3.4 years for one person), there were 304 new cases of dyslipidemia, with an incidence density of 4 942.6/100 000 person years. The results of competitive risk model analysis showed that compared with those who slept for 7-9 hours/day, the risk for dyslipidemia in oldest old with sleep duration >9 hours/day increased by 22% ( HR=1.22, 95% CI: 1.07-1.39). Compared with the oldest old having no physical exercise, the risk for dyslipidemia in the oldest old having physical exercise decreased by 33% ( HR=0.67, 95% CI: 0.57-0.78). The RCS function showed a linear positive dose-response relationship between sleep duration and the risk for hyperlipidemia. The interaction analysis showed that physical exercise and sleep duration had an antagonistic effect on the risk for hyperlipidemia. Conclusion:Physical exercise could reduce the adverse effects of prolonged sleep on blood lipids in the oldest old.

Objective:To investigate the association of urinary cadmium levels with peripheral leukocyte classification counts among middle-aged and older adults aged 40 to 89 years in selected areas of China.Methods:The research was based on the survey of the impact of soil quality of agricultural land on human health in typical areas conducted in 2019-2020. A total of 5 600 middle-aged and older adults aged 40 to 89 years were included by using a multi-stage stratified random sampling method. Baseline characteristics of the subjects were collected and physical examinations were performed. Random midstream urine was collected to measure urinary cadmium and urinary creatinine and fasting venous blood was collected to measure the leukocyte count, neutrophil count, lymphocyte count, monocyte count and eosinophil count. The linear mixed effect model was used to analyse the association of urinary cadmium levels with leukocyte classification counts, and the dose-response relationship between them was analyzed by using the restricted cubic spline (RCS) function.Results:The age of the subjects was (63.17±12.02) years; 2 851 (50.91%) were males; and the M ( Q 1, Q 3) of urinary creatinine-corrected urinary cadmium levels was 2.69 (1.52, 4.69) μg/g·creatinine. After adjusting for confounding factors, the results of linear mixed effects model analysis showed that for each 1-unit increase in urinary creatinine-corrected urinary cadmium level, the percentage change [% (95% CI)] of leukocyte count and lymphocyte count was -1.70% (-2.61%, -0.79%) and -1.57% (-2.86%, -0.26%), respectively. RCS function showed a negative linear relationship between urinary creatinine-corrected urinary cadmium levels and leukocyte counts and lymphocyte counts, respectively (all Pnon-linear>0.05). Conclusion:Urinary cadmium levels are negatively associated with leukocyte count and lymphocyte count among middle-aged and older adults aged 40 to 89 years in selected areas of China.

Objective:To investigate the association of urinary cadmium level with body mass index (BMI) and body circumferences among the older adults over 65 years old in 9 longevity areas of China.Methods:Subjects were older adults over 65 years old from the Healthy Aging and Biomarkers Cohort Study (HABCS) between 2017 and 2018 conducted in 9 longevity areas in China. A total of 1 968 older adults were included in this study. Information including socio-demographic characteristics, lifestyles, diet intake, and health status was collected by using questionnaires and physical examinations. Urine samples were collected to detect urinary cadmium and creatinine levels. Body circumferences included waist circumference, hip circumference and calf circumference. Subjects were divided into three groups (low:<0.77 μg/g·creatinine, middle:0.77-1.69 μg/g·creatinine, high:≥1.69 μg/g·creatinine) by tertiles of creatinine-adjusted urinary cadmium concentration. Multiple linear regression models were used to analyze the association of creatinine-adjusted urinary cadmium level with BMI and body circumferences. The dose-response relationship of creatinine-adjusted urinary cadmium concentration with BMI and body circumferences was analyzed by using restrictive cubic splines fitting multiple linear regression model.Results:The mean age of subjects was (83.34±11.14) years old. The median (Q1, Q3) concentration of creatinine-adjusted urinary cadmium was 1.13 (0.63, 2.09) μg/g·creatinine, and the BMI was (22.70±3.82) kg/m 2. The mean values of waist circumference, hip circumference, and calf circumference were (85.42±10.68) cm, (92.67±8.90) cm, and (31.08±4.76) cm, respectively. After controlling confounding factors, the results of the multiple linear regression model showed that for each increment of 1 μg/g·creatinine in creatinine-adjusted urinary cadmium, the change of BMI, waist circumference, hip circumference, and calf circumference in the high-level group was -0.28 (-0.37, -0.19) kg/m 2, -0.74 (-0.96, -0.52) cm, -0.78 (-0.96, -0.61) cm, and -0.20 (-0.30, -0.11) cm, respectively. The restrictive cubic splines curve showed a negative nonlinear association of creatinine-adjusted urinary cadmium with BMI ( Pnonlinear<0.001) and negative linear associations of creatinine-adjusted urinary cadmium with waist circumference ( Plinear<0.001), hip circumference ( Plinear<0.001), and calf circumference ( Plinear<0.001). Conclusion:Urinary cadmium level is significantly associated with decreased BMI, waist circumference, hip circumference and calf circumference among older adults over 65 years old in 9 longevity areas of China.

Objective:To investigate the association of urinary cadmium levels with peripheral leukocyte classification counts among middle-aged and older adults aged 40 to 89 years in selected areas of China.Methods:The research was based on the survey of the impact of soil quality of agricultural land on human health in typical areas conducted in 2019-2020. A total of 5 600 middle-aged and older adults aged 40 to 89 years were included by using a multi-stage stratified random sampling method. Baseline characteristics of the subjects were collected and physical examinations were performed. Random midstream urine was collected to measure urinary cadmium and urinary creatinine and fasting venous blood was collected to measure the leukocyte count, neutrophil count, lymphocyte count, monocyte count and eosinophil count. The linear mixed effect model was used to analyse the association of urinary cadmium levels with leukocyte classification counts, and the dose-response relationship between them was analyzed by using the restricted cubic spline (RCS) function.Results:The age of the subjects was (63.17±12.02) years; 2 851 (50.91%) were males; and the M ( Q 1, Q 3) of urinary creatinine-corrected urinary cadmium levels was 2.69 (1.52, 4.69) μg/g·creatinine. After adjusting for confounding factors, the results of linear mixed effects model analysis showed that for each 1-unit increase in urinary creatinine-corrected urinary cadmium level, the percentage change [% (95% CI)] of leukocyte count and lymphocyte count was -1.70% (-2.61%, -0.79%) and -1.57% (-2.86%, -0.26%), respectively. RCS function showed a negative linear relationship between urinary creatinine-corrected urinary cadmium levels and leukocyte counts and lymphocyte counts, respectively (all Pnon-linear>0.05). Conclusion:Urinary cadmium levels are negatively associated with leukocyte count and lymphocyte count among middle-aged and older adults aged 40 to 89 years in selected areas of China.

Objective:To investigate the association of urinary cadmium level with body mass index (BMI) and body circumferences among the older adults over 65 years old in 9 longevity areas of China.Methods:Subjects were older adults over 65 years old from the Healthy Aging and Biomarkers Cohort Study (HABCS) between 2017 and 2018 conducted in 9 longevity areas in China. A total of 1 968 older adults were included in this study. Information including socio-demographic characteristics, lifestyles, diet intake, and health status was collected by using questionnaires and physical examinations. Urine samples were collected to detect urinary cadmium and creatinine levels. Body circumferences included waist circumference, hip circumference and calf circumference. Subjects were divided into three groups (low:<0.77 μg/g·creatinine, middle:0.77-1.69 μg/g·creatinine, high:≥1.69 μg/g·creatinine) by tertiles of creatinine-adjusted urinary cadmium concentration. Multiple linear regression models were used to analyze the association of creatinine-adjusted urinary cadmium level with BMI and body circumferences. The dose-response relationship of creatinine-adjusted urinary cadmium concentration with BMI and body circumferences was analyzed by using restrictive cubic splines fitting multiple linear regression model.Results:The mean age of subjects was (83.34±11.14) years old. The median (Q1, Q3) concentration of creatinine-adjusted urinary cadmium was 1.13 (0.63, 2.09) μg/g·creatinine, and the BMI was (22.70±3.82) kg/m 2. The mean values of waist circumference, hip circumference, and calf circumference were (85.42±10.68) cm, (92.67±8.90) cm, and (31.08±4.76) cm, respectively. After controlling confounding factors, the results of the multiple linear regression model showed that for each increment of 1 μg/g·creatinine in creatinine-adjusted urinary cadmium, the change of BMI, waist circumference, hip circumference, and calf circumference in the high-level group was -0.28 (-0.37, -0.19) kg/m 2, -0.74 (-0.96, -0.52) cm, -0.78 (-0.96, -0.61) cm, and -0.20 (-0.30, -0.11) cm, respectively. The restrictive cubic splines curve showed a negative nonlinear association of creatinine-adjusted urinary cadmium with BMI ( Pnonlinear<0.001) and negative linear associations of creatinine-adjusted urinary cadmium with waist circumference ( Plinear<0.001), hip circumference ( Plinear<0.001), and calf circumference ( Plinear<0.001). Conclusion:Urinary cadmium level is significantly associated with decreased BMI, waist circumference, hip circumference and calf circumference among older adults over 65 years old in 9 longevity areas of China.