Search

Objective: To investigate the relationship between serum 25(OH)D and anti-Müllerian hormone (AMH) among infertile females and their predictive impacts on in vitro fertilization and embryo transfer pregnancy outcome., Methods: Totally 756 infertile females treated with assisted reproductive technology were enrolled and divided into three groups according to their vitamin D levels (group A with serum 25(OH)D≤10 μg/L, group B with serum (10-20) μg/L, and group C with serum ≥20 μg/L). The serum AMH levels were detected. The differences among the groups were analyzed, as well as the correlation between vitamin D levels and serum AMH levels in various infertility types (fallopian tube/male factor, polycystic ovary syndrome (PCOS), ovulation disorders excluded PCOS, endometriosis, unexplained infertility, and others). Also, the predictive roles of vitamin D and AMH in pregnancy outcome in all the infertile females were discussed., Results: (1) 87.7% of the enrolled females were insufficient or deficient in vitamin D. (2) The serum AMH levels in the three groups with different vitamin D levels were 1.960 (1.155, 3.655) μg/L, 2.455 (1.370, 4.403) μg/L, 2.360 (1.430, 4.780) μg/L and there was no significant difference in serum AMH levels among the three groups ( P >0.05). (3) Serum 25(OH)D and AMH levels presented seasonal variations ( P < 0.05). (4) There was no prominent correlation between the serum AMH level and serum 25(OH)D level in females of various infertility types after adjusting potential confounding factors [age, body mass index (BMI), antral follicle count (AFC), vitamin D blood collection season, etc.] by multiple linear regression analysis ( P >0.05). (5) After adjusting for confounding factors, such as age, BMI, number of transplanted embryos and AFC, the results of binary Logistics regression model showed that in all the infertile females, the serum AMH level was an independent predictor of biochemical pregnancy outcome ( P < 0.05) while the serum 25(OH)D level might not act as a prediction factor alone ( P >0.05). In the meanwhile, the serum 25(OH)D level and serum AMH level were synergistic predictors of biochemical or clinical pregnancy outcome ( P < 0.05)., Conclusion: Based on the current diagnostic criteria, most infertile females had vitamin D insufficiency or deficiency, but there was not significant correlation between serum 25(OH)D and ovarian reserve. While vitamin D could not be used as an independent predictor of pregnancy outcome in infertile females, the serum AMH level could predict biochemical pregnancy outcome independently or jointly with vitamin D.

Objective: To explore the relation of smoking status to family health and personality traits in residents aged over 18 years in China by binary Logistic regression analysis, to identify the psychosocial factors that influence tobacco use, and to provide evidence to predict smoking susceptibility based on personality traits and prevent smoking at individual and family levels., Methods: Residents aged over 18 years in China were selected from "the Survey of Chinese Family Health Index (2021)". General characteristic questionnaire, short-form of family health scale, 10-item big five inventory were used to collect sociodemographic information, family health function and personality traits. And the relation of smoking status to family health and personality traits were analyzed by binary Logistic regression analysis., Results: Totally 10 315 adults were collected, of whom there were 2 171 smokers. The smoking rate was 21.05%, 41.76% of the residents were male, 3.69% female, 20.03% urban, 23.77% rural, 12.60% aged between 18 and 35 years, 27.11% aged between 36 and 59 years, 34.35% aged over 60 years, and the smoking rate varied in gender, location, age, education, marital status, family types, and average household monthly income ( P < 0.05). Furthermore, the scores of family health, family social and emotional health processes, family healthy lifestyle, family health resources, family external social support, agreeableness, openness, and neuroticism among smokers were lower than those of the non-smokers ( P < 0.05). The results of binary Logistic regression analysis showed that the residents over 35 years old, with low educational level and divorced were the risk factors to smoking ( P < 0.05), while female, unmarried, nuclear family, high scores of family social and emotional health processes and family health resources, openness, neuroticism, and agreeableness were the protective factors to smoking ( P < 0.05)., Conclusion: Besides gender, age, location, education, marital status, family types and average household monthly income, family health, and personality traits were also important factors influencing smoking status. Tobacco control based on personality traits and family health is essential, and more convincing research is necessary to determine the relation of tobacco use, tobacco dependence and smoking cessation to family health and personality traits.

Objective: To investigate the agreement between clinical signs (tenderness and/or swelling) in ankles and feet joints and ultrasound findings in patients with rheumatoid arthritis (RA)., Methods: RA patients with at least 1 tender and/or swollen joint in bilateral ankles and metatarsophalangeal (MTP) joints detected by physical examination were enrolled and underwent ultrasound examination by greyscale (GS) and power Doppler (PD) mode. The agreement between clinical signs and ultrasound-detected inflammation (joint effusion, synovitis, or tenosynovitis) was analyzed., Results: In the study, 113 consecutive RA patients were included, with mean age of (52.5±12.6) years, median duration of 60 (13, 129) months, mean disease activity score in 28 joints based on erythrocyte sedimentation rate [DAS28 (ESR)] of 5.1±1.7, mean disease activity score in 28 joints based on C reactive protein[DAS28 (CRP)]of 4.6±1.5. The tenderness and swelling was most commonly detected in ankles (52.7% and 31.9%, respectively), while GS (+) synovitis was most frequently detectable in MTP2 (34.1%), followed by ankles (32.7%) and MTP1 (27.9%), and PD (+) synovitis was most frequently detectable in MTP1 (14.2%), followed by ankles (12.4%) and MTP2 (10.6%). The prevalence of tenosynovitis was 41.1%, which mostly located in tibialis posterior tendon (22.1% of GS positive and 17.6% of PD positive). The highest prevalence of joint effusion was detected in ankles (9.7%), while that of bone erosion in MTP5 (19%). The overall concordance rate between positive clinical signs and ultrasound-determined joint inflammation was poor in the above joints ( κ < 0.2, P < 0.05), in which swelling had the highest κ coefficient with ultrasound-determined joint inflammation in ankles ( κ =0.225, P < 0.05). Moreover, swelling had the highest κ coefficient with synovitis in ankles ( κ =0.231, P < 0.05).The concordance between tenosynovitis and signs in ankles was also poor ( κ < 0.20, P < 0.05). There was no significant agreement between joint effusion and clinical signs ( P > 0.05)., Conclusion: The overall concordance between clinical signs and inflammation on ultrasound was poor in ankles and feet joints. Tenderness and swelling was more common in ankles, while more lesions were detected by ultrasound at MTP joints. Ultrasound is useful in assessing the lesions besides physical examination in patients with RA.

Objective: To explore the personality portraits of patients with type 2 diabetes mellitus (T2DM), its relationship with medication adherence and the influencing factors of medication adherence., Methods: T2DM patients from 22 community health service stations of 4 community health service centers in Tongzhou district and Shunyi district in Beijing were selected as the research objects. A self-designed questionnaire was used to collect demographic information. The short version of Big Five personality scale was used to collect personality information, and latent profile analysis was used to explore their personality portraits. The medication adherence was evaluated by medication adherence scale, and the difference of medication adherence among the different personality portraits was explored by analysis of variance. The influencing factors of medication adherence were explored by the ordinal Logistic regression model., Results: In the study, 751 T2DM patients were included. Latent profile analysis showed that the T2DM patients in this study could be divided into four types of personality portraits, including introverted and stable type (42.7%), negative type (12.7%), anxiety type (15.3%) and active and responsible type (29.3%). Among them, 75 patients said that they did not use medicine or insulin, 5 patients were lack of data, and finally 671 patients with T2DM were included in the analysis about medication adherence. The analysis of variance showed that there was no significant difference in medication adherence between anxiety type (5.55±1.65) and negative type (5.94±1.53, P =0.089), but the medication adherence score of anxiety type was significantly lower than that of introverted and stable type (6.17±1.46, P =0.001) and active and responsible type (6.09±1.65, P =0.004). Anxiety type and negative type were seen as a whole in the ordinal Logistic regression model named anxiety and negative type. The results showed that compared with anxiety and negative type, the active and responsible type or introverted and stable type was the protective factor for good medication adherence ( OR =1.567, 95% CI : 1.096-2.237; OR =1.774, 95% CI : 1.214-2.591), and the education level also affected the medication adherence., Conclusion: T2DM can be classified into four types of personality portraits based on Big Five personality theory. The anxiety and negative type after the combination of anxiety type and negative type is the independent risk factor for poor medication adherence. In addition, education level is also the influencing factor of medication compliance.

Objective: To investigate the situation of quality of life in patients with type 2 diabetes and its associated factors., Methods: Questionnaires, physical examination and glycated hemoglobin test were conducted in 747 patients with type 2 diabetes. Hemoglobin A1c (HbA1c) was a proxy for glycemic control, diabetes specific quality of life scale (DSQL) score was a proxy for quality of life. Factors associa-ted with DSQL were analyzed by multiple linear regression and structural equation modeling (SEM)., Results: A total of 747 patients were included in this study. The mean HbA1c level was (7.1±1.2)%, with 35.1% reaching the target (262/747). There were significant differences in disease duration, me-dication and use of insulin, smoking, and body mass index (BMI) between the two groups with good and poor glycemic control ( P < 0.05). The total score of DSQL was 44.92±13.32, in which average phy-siological factors were the highest, then followed by scores of psychological factors. Multiple linear regression showed that monthly household income, comorbidities, depression, duration of illness, insulin, hospitalization, and self-efficacy were significantly associated with the total score of DSQL ( P < 0.05). SEM showed that blood glucose control was significantly associated with the scores of physical factors (0.166), psychological factors (0.076), and social factors (0.124) of DSQL, respectively. Depression had effects on the physical factors (0.342), psychological factors (0.217), and treatment factors (0.050) of DSQL ( P < 0.05)., Conclusion: Glycemic control in our study is relatively poor but the quality of life remains well. More attention should be paid to patients who are male, with long diagnosis duration, poor medication adherence, smoking, with depression and with low diabetes-related skills. In practice, health practitioners should be aware of psychological needs of patients, and offer mental health education to patients and their families, in order to help patients manage blood glucose and improve their quality of life.

Objective: To explore the correlation between different personality characteristics and self-management attitude such as medication, exercise and diet in patients with type 2 diabetes mellitus., Methods: The patients with type 2 diabetes mellitus from 4 Community Healthcare Services and 22 affiliated community stations of Tongzhou District and Shunyi District of Beijing were selected as subjects. The Chinese big five personality inventory and the self-designed scale including the attitudes of medication, exercise and diet were used in the study., Results: In this study, 642 subjects were finally included, among whom the sex ratio of male and female was basically the same, 61.21% were over 61 years old. In this study, different genders had differences in neurotic personality ( P <0.05), different age groups had differences in agreeableness and openness ( P <0.05), different education levels had differences in openness and extraversion ( P <0.05), and different income levels had differences in agreeableness, openness and extraversion ( P <0.05). The linear correlation analysis of the five-factor moldel of personality traits with medication, exercise and diet attitude showed that three items of perceived disorders of medication were positively correlated with neuroticism ( r =0.125, 0.187, 0.151, P <0.05), four items of perceived disorders of exercise were positively correlated with neurotic personality ( r =0.163, 0.129, 0.119, 0.104, P <0.05), and perceived benefits of exercise were positively correlated with conscientiousness (five items, r =0.156, 0.111, 0.131, 0.104, 0.131, P <0.05), agreeableness (two items, r =0.092, 0.078, P <0.05) and extraversion (four items, r =0.079, 0.122, 0.115, 0.123, P <0.05), three items of perceived disorders of diet were positively correlated with neuroticism ( r =0.115, 0.137, 0.108, P <0.05), and two items of were negatively correlated with conscientiousness ( r =－0.126, －0.161, P <0.05) and agreeableness ( r =－0.103, －0.115, P <0.05). In the canonical correlation analysis, according to the formula combination of three groups of typical variables and canonical structure diagrams, neuroticism and agreeableness played major roles in personality traits, and items that represented "obstacles" in medication, exercise, and dietary attitudes played a major role., Conclusion: All the five personality traits were correlated with the self-management attitude of type 2 diabetes patients, and different personality traits have an impact on the self-management of patients with type 2 diabetes mellitus. In particular, it is of great significance to understand neuroticism for improving the mental health and quality of life of patients with type 2 diabetes mellitus. Therefore, attention should be paid to the influence of psychological factors in community management of type 2 diabetes and disease self-management, and the personalized care and health education should be carried out according to the personality traits of patients.

Objective: To explore mechanism of health beliefs by application of health belief model (HBM) and structural equation modeling (SEM) with regard to recreational physical activity (PA), to identify the differences of among population with high risk of chronic diseases and healthy people, and to provide the specific interventions of recreational physical activity and reference for health relevant policy-making in the future., Methods: A total of 2 736 residents with high risk of chronic diseases and 1 514 healthy people were involved. A questionnaire survey, physical examination and biochemical examination were conducted. The questionnaire based on HBM had acceptable validity and reliability. The proposed model based on the total sample size of the two groups was developed using the structural equation modeling and multi-comparison in the ways of appearance and parameters were also validated., Results: The median amount of recreational (PA) among population with high risk of chronic diseases and healthy people were 0.0 thousand-step equivalent with quartile of (0.0, 4.6) and 0.0 thousand-step equivalent with quartile of (0.0, 4.0) respectively. The results of SEM suggested that the direct effects of perceived objective barriers (β=-0.245), perceived subjective barriers (β=-0.057), cues to action (β=-0.043) and self-efficacy (β=0.117) on recreational (PA) were significant. Self-efficacy was the most important mediator. The multi-group comparisons indicated that the models of the two groups had the same appearance but the parameters between them were significant (δ χ 2 =27.4, P<0.05). The multi-group structural equation model (MSEM) indicated that two paths from cues to action and from perceived subjective barriers to recreational (PA) were not statistically significant among the population with high-risk of chronic diseases. In the two groups, one path coefficient from perceived objective barriers to subjective barriers (P=0.007) was statistically significant (P<0.05)., Conclusion: The recreational (PA) levels of both groups were lower. Health beliefs on recreational (PA) of the two groups played different roles and some paths were also different. Therefore, specific interventions and strategies should be developed for different people. For residents with high risk of chronic diseases, much more attention should be paid to reduce the objective and subjective barriers of recreational physical activity and to improve self-efficacy so as to delay or prevent the occurrence of chronic diseases and then to improve the quality of life of this kind of population.

Objective: To investigate the effects of exposure to ambient particulate matter (PM) and polycyclic aromatic hydrocarbons (PAHs) on systemic oxidative stress biomarkers in chronic obstructive pulmonary disease (COPD) patients., Methods: A panel of forty-five diagnosed and stable COPD patients, whose residences were within 5 kilometers from Peking University Health Science Center (PKUHSC), were recruited and followed up twice between November 2014 and May 2015. The lung function index percentage of forced expiratory volume in 1 second (FEV 1 ) to predicted value (FEV 1 %pred), was measured to reflect the severity of COPD patients. The systemic oxidative stress biomarkers malondialdehyde (MDA) and 8-hydroxy-2'-deoxyguanosine (8-OHdG) in their urine samples were measured using high performance liquid chromatography (HPLC) and enzyme-linked immunosorbent assay (ELISA), respectively. Concentrations of ambient air pollutants and levels of meteorological factors were measured continuously through the air pollution-monitoring station located in PKUHSC. PM 2.5 samples, which were used for measuring the concentrations of PAHs, were collected by PM 2.5 high volume air sampler. We constructed linear mixed-effects models, including single-pollutant model, 2-pollutant models and stratification analysis, to estimate the effects of air pollutants on urinary MDA and 8-OHdG after adjusting for confounding factors., Results: In our COPD-patient panel, the associations between ultrafine particles (UFP) and PAHs and urinary MDA were statistically significant at lag2 (P<0.05). For an interquartile range (IQR) increase in UFP and PAHs, respective increases of 28% (95%CI: 4%-57%) and 36% (95%CI: 4%-77%) in urinary MDA were observed, and the effects became stronger after adjusting for the concentration of black carbon (BC). The COPD patients were divided into 2 groups stratified by FEV 1 %pred. Most air pollutants had stronger effects of systemic oxidative stress in the COPD patients of FEV 1 %pred≥50%. In this group, we observed that an IQR increase in UFP was associated with a 98% (95%CI: 38%-186%) increase in urinary MDA, and an IQR increase in BC, UFP and PAHs were associated with respective increases of 87% (95%CI: 32%-166%), 69% (95%CI: 24%-130%) and 156% (95%CI: 66%-294%) in urinary 8-OHdG. We didn't find significant associations between fine particulate matter (PM 2.5 ) and urinary oxidative stress biomarkers., Conclusion: Our results suggested that exposure to air pollutants, especially UFP and PAHs, was responsible for exacerbation of systemic oxidative stress in COPD patients. Most air pollutants had stronger effects of systemic oxidative stress in mild to moderate COPD patients.

Objective: To study the physical activity level and its influence factors among residents in one suburb of Beijing, so as to provide specific interventions for different people in different circumstances and to provide reference for health relevant policy-making in the future., Methods: In the study, 7 319 subjects aged 18 years or above were involved. The self-designed questionnaires based on Health Belief Model (HBM) had acceptable validity and reliability. The physical activity levels were calculated to classify sufficient or insufficient amount by a thousand-step equivalent greater than or equal to 6 or 10. Multiple variable Logistic regression was used to explore the influence factors of the physical activity among the residents., Results: The residents' median amount of physical activity in the suburb district of Beijing were 9.1 thousand-step equivalent with quartile of (3.8, 20.4). The percentages of the thousand-step equivalent greater than or equal to 6 or 10 were 63.7% and 47.7%, respectively. The median amounts of physical activity from work or household chores, transportation and recreation physical activities were 4.0, 1.0, 0.0 and the components of the total amount of physical activity from those were 61.7%, 18.3% and 20.1%, respectively. There were 8.6% residents whose life did notinvolve moderate or vigorous intensity activities. By using factor analysis, five factors were extracted from the scale based on the HBM; These factors together contributed to 63.7% of the sum of the squared loadings. The differences of physical activity levels on education level, age, gender, self-efficacy, cues, subjective and objective barriers were statistically significant (P<0.05).Those who were female, with older age, lower education level, higher self-efficacy, fewer cues, fewer subjective and objective barriers preferred to do more physical activities., Conclusion: The physical activity levels among the residents in the suburb district of Beijing are moderate and high, and most amount of physical activities from work or household chores. Those who are male and whose ages are from 18 to 29 years and whose education levels are of university or above should be focused on intervention. Specific interventions should be developed for different people in different situations; More attention should be paid to improve the residents' self-efficacy and reduce the subjective and objective barriers of physical activity, and we also should actively advocate people to have more leisure exercise so as to improve the physical activity level among all residents.