ObjectiveTo investigate the prevalence and associated factors of diabetic retinopathy (DR) among diabetic residents in Longyan of Fujian Province. MethodsA investigative research. From January 2022 to December 2023, a total of 10 061 diabetic patients enrolled in the chronic disease follow-up management system from 112 towns and sub-districts in 7 counties and districts of Longyan of Fujian Province were selected as the target population. A questionnaire survey, routine physical examination, vision test, and non-mydriatic fundus photography were conducted. A total of 762 cases with missing height, weight, blood pressure, fasting plasma glucose (FPG), and diabetes duration, and 507 cases with unclear fundus photography were excluded, resulting in 8 792 cases included in the final statistical analysis. DR diagnosis and classification were based on the 2019 International Clinical Classification of DR. The prevalence of DR was calculated for single-eye or double-eye DR cases as 1 case; the more severe eye was used for DR grading in double-eye DR cases. Statistical analysis was performed by grouping based on the presence or absence of DR and dividing into age groups ≤67 years and >67 years. χ2 test was used to analyze factors associated with prevalence; binary multivariate logistic regression analysis was employed to identify influencing factors of DR. ResultsAmong the 8 792 cases, 888 (10.1%, 888/8 792) were diagnosed with DR (DR group), and 7 904 (89.9%, 7 904/8 792) had no DR (non-DR group). Compared to the non-DR group, the DR group showed significant increases in FPG (Z=−12.448), diabetes duration (Z=−18.936), systolic blood pressure (Z=−4.237), diastolic blood pressure (Z=−2.881), and body mass index (BMI) ≥24 kg/m² (P＜0.001). Significant differences were also found between the two groups in hypertension (χ2=11.450), hyperlipidemia (χ2=5.100), kidney disease (χ2=7.039), family history of diabetes (χ2=5.025), and regular medication use (χ2=66.034) (P＜0.05). There were 4 688 cases in the ≤67 years group and 4 104 in the ＞67 years group. In the ≤67 years group, significant differences in DR prevalence were found for FPG levels (χ2=111.754), diabetes duration (χ2=231.658), BMI (χ2=12.404), systolic blood pressure (χ2=17.912), regular medication use (χ2=40.727), hyperlipidemia (χ2=6.816), and hypertension history (χ2=6.775) (P＜0.05). In the >67 years group, significant differences in DR prevalence were found for FPG levels (χ2=59.916), diabetes duration (χ2=128.362), systolic blood pressure (χ2=5.183), regular medication use (χ2=22.097), kidney disease (χ2=6.251), and family history of diabetes duration (χ2=4.967) (P＜0.05). No significant differences in DR prevalence were found based on sex, education level, smoking history, alcohol consumption, exercise habits, heart disease history, or other family disease history (P＞0.05). Logistics regression analysis results show that patients aged ＞67 years, FPG [odds ratio (OR)=1.074, 95%confidence interval (CI) 1.046-1.102], diabetes duration (OR=1.088, 95%CI 1.071-1.106), systolic blood pressure (OR=1.007, 95%CI 1.001-1.013), and kidney disease (OR=3.617, 95%CI 1.268-10.320) were identified as risk factors for DR (P＜0.05). In patients aged ≤67 years, FPG (OR=1.088, 95%CI 1.067-1.110), diabetes duration (OR=1.108, 95%CI 1.091-1.125), and systolic blood pressure (OR=1.008, 95%CI 1.003-1.013) were identified as independent risk factors for DR (P＜0.05), while BMI ≥24 kg/m² (OR=0.934, 95%CI 0.908-0.965) was a protective factor for DR (P＜0.05). Age, regular medication use, hypertension, and hyperlipidemia were identified as potential confounding factors for DR occurrence. ConclusionsThe prevalence of DR among diabetes patients in Longyan of Fujian Province, is 10.1%. FPG, diabete duration, and systolic blood pressure are independent risk factors for DR, while age, regular medication use, hypertension, and hyperlipidemia are potential confounding factors for DR occurrence.
ObjectiveTo investigate the health literacy level and its influencing factors among follow-up patients with chronic kidney disease (CKD).MethodsFrom March to August 2018, 248 patients from the CKD Follow-up Management Center, West China Hospital, Sichuan University were included. Basic information questionnaire and chronic diseases health literacy scale were used. Analysis of variance and t test were used in univariate analysis, and multiple linear stepwise regression was used in multivariate analysis, to explore the influencing factors of health literacy score.ResultsThe average health literacy score of the 248 CKD patients (97.24±12.22) were in medium to low level. Listed from high to low, the score of each dimension was: ability to obtain information (4.24±0.50), willingness to improve health (4.17±0.66), competence to communicate and interact with others (3.95±0.59), and willingness to support financially (3.41±1.10). The result of multiple linear stepwise regression showed that whether followed up on time, families’ monthly income per capita, and the patients’ age were independent influencing factors of health literacy score (P<0.05).ConclusionsThe health literacy level of follow-up patients with CKD remains to be improved. Medical personnel should pay attention to whether patients with CKD are followed up on time, make targeted intervention, and improve the self-management of patients so as to delay the disease progress of CKD.
ObjectiveTo investigate the factors affecting enteral nutrition tolerance in patients accepting prone position ventilation.MethodsA retrospective study was conducted to analyze the tolerance of enteral nutrition in patients with prone position ventilation from January 2013 to December 2018. The single factor and multiple factors were used to analyze the influencing factors of enteral nutrition tolerance in patients accepting prone position ventilation.ResultsNinety-two patients who met the inclusion criteria were divided into 2 groups according to enteral nutrition tolerance table: 45 patients with good tolerance and 47 patients with poor tolerance. Univariate analysis showed age, use of muscle relaxants, albumin, prealbumin, feeding amount per unit time, acute physiology and chronic health evaluation Ⅱ (APACHEⅡ), sequential organ failure assessment (SOFA), nutrition risk in critically ill (NUTRIC) score and gastric residual volume were factors affecting the patient's tolerance (P<0.05). Logistic analysis showed that the factors affecting the patient's tolerance during the prone position were age, use of muscle relaxant, albumin, prealbumin, APACHEⅡ, SOFA, and NUTRIC scores (P<0.05).ConclusionFactors affecting enteral nutrition tolerance in patients accepting prone position ventilation are age, use of muscle relaxants, albumin, prealbumin, APACHEⅡ, SOFA and NUTRIC scores.
ObjectiveTo systematically review the incidence and influencing factors of early enteral nutritional feeding interruptions in critically ill patients. MethodsThe PubMed, Web of Science, Embase, Cochrane Library, CNKI, WanFang Data and CBM databases were electronically searched to collect observational studies on the early enteral nutritional feeding interruptions in critically ill patients from inception to January 2, 2024. Two reviewers independently screened literature, extracted data and assessed the risk of bias of the included studies. Meta-analysis was then performed by using Stata 17.0 software. ResultsA total of 12 studies including 1 121 patients were included. Meta-analysis showed that the incidence of early enteral nutritional feeding interruptions in critically ill patients was 75.0% (95%CI 64.0% to 84.0%). Influenced by feeding intolerance, airway management, tube problems, radiological examination, and endoscopy, surgery and so on, interruptions of early enteral nutritional feeding frequently occur in critically ill patients. ConclusionCurrent evidence shows that early enteral feeding interruptions in critically ill patients are affected by many factors, and the incidence is high. Due to the limited quality and quantity of the included studies, more high-quality studies are needed to verify the above conclusion.
ObjectiveTo study the differences in body composition between maintenance hemodialysis (MHD) patients with reduced muscle mass and the ones with normal muscle mass by bioelectrical impedance analysis, and explore the influencing factors.MethodsA total of 122 patients undergoing MHD in the hemodialysis center of a general hospital between September 2018 and May 2019 were selected as the research subjects. According to the relative skeletal muscle mass index, they were divided into the muscle loss group and the normal muscle mass group. Their general conditions, post-dialysis body composition, and serum albumin were collected to analyze the differences between the two groups, and a multiple stepwise logistic regression analysis was carried out.ResultsAmong the included subjects, 53 patients had normal muscle mass and 69 patients had muscle mass loss. The post-dialysis body weight, muscle-related indexes, intracellular water, extracellular water (ECW), total body water (TBW), protein, minerals, body cell mass, bone mineral content, body mass index, arm circumference, and arm muscle circumference in the normal muscle mass group were higher than those in the muscle loss group (P<0.05); the percentage of ECW/TBW in the normal muscle mass group was lower than that in the muscle loss group (P<0.05). The multiple stepwise logistic regression analysis showed that the post-dialysis weight [odds ratio (OR)=0.679, 95% confidence interval (CI) (0.535, 0.862), P=0.001] was a protective factor from losing muscle in MHD patients, and the high ECW/TBW [OR=6.926, 95%CI (1.014, 47.280), P=0.048], low body cell mass [OR=57.707, 95%CI (6.927, 480.761), P<0.001], low bone mineral content [OR=9.743, 95%CI (1.220, 77.831, P=0.032], and arm circumference [OR=2.183, 95%CI (1.004, 4.749), P=0.049] were risk factors for muscle loss in MHD patients.ConclusionsMHD patients have a high incidence of muscle loss. It is necessary to monitor the changes of their body composition, especially those who with low post-dialysis body weight, lack of bone minerals and body cells, excessive ECW/TBW, and increased arm circumference after hemodialysis. Both nutritional interventions and exercise interventions should be performed timely and routinely to prevent the occurrence of sarcopenia.
ObjectiveTo systematically review the factors for cognitive impairment in hypertensive patients. MethodsPubMed, Web of Science, Embase, Cochrane Library, Ovid, Scopus, EBSCO, CNKI, WanFang Data, VIP and CBM databases were electronically searched to collect studies on factors for cognitive impairment in hypertensive patients from inception to March 2023. Two reviewers independently screened literature, extracted data and evaluated the risk of bias of the included studies. Meta-analysis was then performed by using RevMan 5.3 and Stata 14.0 software. ResultsA total of 26 articles involving 13 464 patients were included. The results of meta-analysis showed that antihypertensive drug use (OR=0.22, 95%CI 0.09 to 0.59, P=0.002), blood pressure was well controlled (OR=0.48, 95%CI 0.37 to 0.623, P<0.001), and social support (OR=0.94, 95%CI 0.90 to 0.97, P<0.001) were protective factors for CI in hypertensive patients. And age (OR=1.17, 95%CI 1.12 to 1.22, P<0.001), age ≥60 (OR=2.10, 95%CI 1.71 to 2.57, P<0.001), female (OR=1.55, 95%CI 1.25 to 1.93, P<0.001), single (OR=2.39, 95%CI 1.89 to 3.03, P<0.001), smoking (OR=3.40, 95%CI 2.40 to 4.82, P < 0.001), educational level (<college） (OR=3.46, 95%CI 2.73 to 4.39, P<0.001), education years (≥12 years) (OR=2.10, 95%CI 1.43 to 3.07, P<0.001), diabetes (OR=2.82, 95%CI 2.22 to 3.58, P<0.001), hyperlipidemia (OR=1.48, 95%CI 1.10 to 2.00, P=0.01), total cholesterol (OR=1.11, 95%CI 1.01 to 1.22, P=0.02), CVHI anomalies (OR=6.24, 95%CI 3.75 to 10.37, P<0.001), sleep disorder (OR=2.92, 95%CI 1.93 to 4.42, P<0.001), systolic blood pressure (OR=1.04, 95%CI 1.02 to 1.06, P<0.001), orthostatic hypotension (OR=1.39, 95%CI 1.20 to 1.62, P<0.001, grade 2 hypertension (OR=2.62,95%CI 1.83 to 3.73, P<0.001), grade 3 hypertension (OR=3.15, 95%CI 1.90 to 5.22, P<0.001), stress history (OR=4.57, 95%CI 2.86 to 7.30, P<0.001) were all risk factors. ConclusionThe current evidence shows that there are many factors affecting the incidence of CI in hypertensive patients, and the assessment of the factors affecting the incidence of cognitive dysfunction in hypertensive patients should be more comprehensive in the future.
Objective To investigate the factors influencing the medication adherence among patients with diabetes signing family doctor service contract in Beijing urban areas, and provide the basis for improving the level of medication adherence. Methods A total of 320 patients with diabetes from four community health service centers in Beijing urban areas were selected to answer the questionnaires using convenient sampling from June to September 2015. Univariate analysis and binary logistic regression were used for the influencing factors analysis. Results A total of 320 questionnaires were distributed, and 317 valid questionnaires were recovered, in which the rate of high medication adherence was 54.6%. The results of logistic regression showed that the main impact factors on medication adherence were age [odds ratio (OR)=1.918, P=0.011)], degree of education (OR=2.462, P=0.008), knowledge related to diabetes (OR=1.773, P=0.027), adopting of family doctor service or not (OR=2.521, P=0.029) and social function status (P=0.003). Conclusions The family doctor service team should implement the practice of the family doctor service to ensure that the contracted residents can make full use of the family doctor services; and strengthen the follow-up and interventions for patients less aged or with low degree of education. For those with poor social function, more attention should be paid to their self-health management behavior to improve the level of patients’ compliance. As a result, the levels of blood glucose will be well controlled to reduce possibilities of complications and improve their health status and quality of life.
ObjectiveTo analyze the current the sense of shame and its influencing factors in patients with epilepsy. Methods The research subjects selected information from 103 epilepsy patients who were hospitalized at the Affiliated Brain Hospital of Guangzhou Medical University from January 1, 2023 to December 31, 2023. The self-made General Information Questionnaire, social impact scale (SIS), social avoidance and distress scale, self-concealment scale and self-esteem scale were used to collect information. Pearson method was used to analyze the correlation between the score of SIS and the scores of social avoidance and distress scale, self-concealment scale and self-esteem scale Multiple linear regression model was used to analyze the factors affecting SIS score.Statistically, P<0.05 was considered statistically significant. Results The score of SIS was (58.40±12.649) .According to statistical analysis of Pearson’s results, the SIS score of patients with epilepsy was found to be positively correlated with the scores in the three tables above (all P<0.05). Multiple Regression analysis analysis showed that family income, social avoidance and distress scale, self-concealment scale and self-esteem scale were the influential factors of SIS score in epilepsy patients (all P<0.05). ConclusionClinical workers should pay close attention to the psychological changes of patients with epilepsy and do a good job in psychological nursing, so as to improve the quality of life of patients.
ObjectivesTo investigate the status quo of follow-up services for patients with cervical spondylosis, to explore its influencing factors, and to provide reference for the follow-up management model after postoperative discharge of patients with cervical spondylosis.MethodsA total of 220 patients with cervical spondylosis were selected by using convenient sampling from October 2018 to May 2019, and the general information questionnaire and the follow-up service needs questionnaire were used for the investigation.ResultsThe score of follow-up service content requirement for patients with cervical spondylosis was 54.87±7.56, and the rehabilitation training instruction was the highest. Multiple linear regression analysis showed that the follow-up service content score was influenced by education level [non-standardized partial regression coefficient (b)=3.186, 95% confidence interval (CI) (2.490, 3.882), P<0.001], length of hospital stay [b=5.140, 95%CI (3.914, 6.365), P<0.001], Neck Disability Index [b=1.326, 95%CI (0.189, 2.463), P=0.022], and age [≥75 years as the reference, 45-59 years: b=3.766, 95%CI (0.671, 6.860), P=0.017; 60-74 years: b=4.081, 95%CI(0.849, 7.314), P=0.014]. The method of obtaining follow-up services was mainly based on outpatient follow-up (85.5%), telephone follow-up (50.5%), and established a follow-up service center (40.5%) for discharged patients. The executives were multidisciplinary teams (60.5%) and hospital-community integration teams (48.2%). There were 19.1% of discharged patients who were willing to pay for relevant follow-up services.ConclusionsPatients with postoperative cervical spondylosis have strong demand for post-discharge follow-up services, which are affected by many factors. Medical staff should pay attention to this and develop a personalized follow-up service plan according to patient characteristics to meet different discharged patients and improve the quality of medical services.
Objectives To study the characteristics and influencing factors of sleep disorder in patients with epilepsy. Methods One hundred and eighty-four patients with epilepsy who were admitted to the outpatient department and the epilepsy center in the Second Affiliated Hospital of Zhejiang University from October 2016 to October 2017 were enrolled. Their clinical data were collected in detail and their sleep related scales were evaluated. Sleep related assessment tools: Chinese version of the Pittsburgh sleep quality index scale (PSQI), the Epworth sleepiness scale (ESS), Berlin Questionnaire (BQ), Quality Of Life In People With Epilepsy-31 (QOLIE-31), Beck Anxiety Inventory (BAI) and Beck Depression Inventory(BDI). Results Among the 184 cases of patients with epilepsy, 100 cases were male (54.3%), 84 cases were female (45.7%), 35 cases (19.0%) had sleep disorders, 89 cases (48.4%) with poor quality of life, 23 cases (12.5%) with anxiety, 47 cases (25.5%) with depression, 59 cases (32.1%) had daytime sleepiness, and 30 cases (16.3%) with OSAS. there were statistically significant differences in age, history of hypertension, seizure frequency, quality of life , anxiety and depression in epilepsy patients with sleep disorder compared those without sleep disorder (P<0.05). The seizure frequency, quality of life, anxiety and depression were analyzed by logistic regression analysis, suggesting that seizure frequency (P=0.011) and depression (P<0.001) are independent risk factors of sleep disorders. Conclusions Epileptic patients with sleep disorder have higher frequency of seizures, poorer quality of life, and are more likely to be associated with anxiety and depression, and the frequency and depression are independent risk factors of sleep disorder in patients with epilepsy.