Breastfeeding in America: A History of Influencing Factors

This paper documents the history of hydrogen damage to a large central station steam-generating unit. The nature and extent of the damage are discussed, and the inspection techniques used to detect damaged areas are described. Boiler operation, chemistry of boiler water, feedwater treatment, and other influencing factors are also discussed.

Download Full-text

Analysis of school furniture used in computer classrooms

Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis ◽

10.11118/actaun201159010219 ◽

2011 ◽

Vol 59 (1) ◽

pp. 219-226

Author(s):

Jiří Tauber

Keyword(s):

Influencing Factors ◽

Computer Technology ◽

The State ◽

Compact Set ◽

Computer Technologies ◽

Actual Type ◽

Computer Classrooms ◽

Fast Development ◽

History Of ◽

School Furniture

With the respect to the fast development of new computer technologies, it is unconditionally necessary that school furniture reflected this trend and adapted to it. Our use of computer technologies and utilities in teaching is increasing. Therefore, it is necessary to improve school desks so that they would be fit for new computer technology. Creation of a compact set of information relative to the issue concerned, which would comprise of needs and requirements for individual pieces of furniture, represented an important step undertaken. The goal was to assess current conditions of school furniture used in computer classrooms. The analysis aims to stipulate requirements related to the actual type of furniture, in which many influencing factors are taken into consideration. History of school furniture is interesting as well. A survey on the state of school furniture intended for computer classrooms is the main output. The analysis presents foundations for development of closely specialized furniture.

Download Full-text

Influencing Factors of Multiple Adverse Outcomes Among Schizophrenia Patients Using Count Regression Models: A Cross-Sectional Study

10.21203/rs.3.rs-926929/v1 ◽

2021 ◽

Author(s):

Lichang Chen ◽

Wenyan Tan ◽

Xiao Lin ◽

Haicheng Lin ◽

Junyan Xi ◽

...

Keyword(s):

Risk Factor ◽

Influencing Factors ◽

Violent Crime ◽

Regression Models ◽

Negative Binomial ◽

Suicide Attempts ◽

Adverse Outcomes ◽

Different Types ◽

History Of ◽

Self Harm

Abstract Background: Schizophrenia patients have increased risks of several adverse outcomes, including violent crime, aggressiveness and suicide. However, studies of different adverse outcomes in the same population are rare and the influencing factors for these outcomes need clarification by appropriate models. This study aimed to identify influencing factors of these adverse outcomes by examining and comparing different count regression models.Methods: This study included schizophrenia patients who had at least once follow-up record in the Guangdong Mental Health Center Network Medical System during 2020. Three types of adverse outcomes including a) aggressiveness with police dispatch or violence crime, b) aggressiveness without police dispatch, and c) self-harm or suicide attempts. First, we investigated the incidence of these adverse outcomes in each type. Second, the Poisson, negative binomial (NB), zero-inflated Poisson (ZIP), and zero-inflated negative binomial (ZINB) regression models were fitted and compared for their intensity. Finally, We analysed associations between these adverse outcomes intensity and sociodemographic, clinical factors with the best model. Results: A total of 130474 schizophrenia patients were selected. Each type of adverse outcomes was reported by less than 1% of schizophrenia patients in 2020. NB regression model is the best model for fitting the number of aggressiveness without police dispatch because of the best goodness of fit and relatively simple interpretation, whereas ZINB models for the other two outcomes. Age, sex, and history of adverse outcomes were influencing factors shared across these adverse outcomes. Higher educational level, employment were protective factors shared between aggressiveness with police dispatch or violent crime , and aggressiveness without police dispatch. Aggressiveness without police dispatch , and self-harm or suicide attempts shared older onset age (≥18 years) as a risk factor. Family history of mental disease was a risk factor of self-harm or suicide attempts individually.Conclusions: NB and ZINB models were selected for fitting the number of adverse outcomes in our studies. Influencing factors for adverse outcomes intensity included both those shared across different types and those individual to specific types. Therefore, combined and customized tools in risk assessment and intervention for different types of these outcomes might be necessary.

Download Full-text

Investigation on the influencing factors of mental health of healthcare workers for aid in Hubei during the outbreak of the COVID-19

10.21203/rs.3.rs-39313/v1 ◽

2020 ◽

Author(s):

Peng Zhou ◽

Na Du ◽

Dongmei Diao ◽

Yingjie OuYang ◽

Heshan Sameera Kankanam Pathiranage

Keyword(s):

Influencing Factors ◽

Psychological Health ◽

Healthcare Workers ◽

Rating Scale ◽

Family Members ◽

Mild Depression ◽

Related Factors ◽

Patient Health ◽

History Of ◽

Depression Level

Abstract Background The objective of this study is to understand the psychological health status and analyze the related factors of healthcare workers for aid in Hubei during the epidemic. 220 subjects were investigated by Self-Rating Scale of Sleep(SRSS), Generalized Anxiety Scale (GAD-7), and 9-item patient health questionnaire (PHQ-9). Results The average SRSS score of all subjects was significantly higher than the national norm (p < 0.001)and the influencing factors were gender, whether the patients died under the charge of nursing/treatment, the history of psychosis and whether their family members were infected with the COVID-19. The average GAD-7 score of all subjects was in a moderate anxiety level, and the main influencing factors were gender, years of work, history of psychosis, self-perceived health statues and whether their family members were infected with the COVID-19. The average PHQ-9 score of all subjects was in mild depression level. The primary influencing factors were whether they nursed/treated severely ill patients during aid in Hubei and whether they had a history of psychosis. Conclusions During the outbreak of COVID-19, the symptoms of insomnia and anxiety of the healthcare workers for aid in Hubei were prominent. Moreover, male workers, those whose patients have died during their treatment, with previous anxiety disorders and whose family members infected with COVID-19 were facing more serious problems. Therefore, this special group needs to be strengthened follow-up psychological support individually.

Download Full-text

Analysis of Adverse Reactions of Blood Transfusion and Discus-sion of Influencing Factors in Linyi Area from 2013 To 2020

Iranian Journal of Public Health ◽

10.18502/ijph.v50i7.6631 ◽

2021 ◽

Author(s):

Xiuping Zhang ◽

Yanli Zhang ◽

Cao Qi ◽

Chunling Ma

Keyword(s):

Blood Transfusion ◽

Influencing Factors ◽

Theoretical Basis ◽

Adverse Reactions ◽

Allergic Reactions ◽

City Center ◽

History Of ◽

The Difference ◽

Safe Blood ◽

Transfusion Reactions

Background: We aimed to explore the influencing factors of clinical adverse blood transfusion reactions, to provide theoretical basis and support for clinical safe blood transfusion, and to minimize the occurrence of adverse blood transfusion reactions. Methods: The method was to retrospectively analyze the report of adverse blood transfusion reports from 6 hospitals in Linyi area, Shandong, China to the blood station in Linyi City center from 2013 to 2020. We aimed to classify factors, analyze the occurrence of adverse transfusion reactions, and discuss the correlation between the occurrence of adverse transfusion reactions and the above factors. Results: Overall, 248 patients (77.98%) had a history of blood transfusion. The difference between this group and the group with no history was statistically significant (P<0.05). The incidence of adverse transfusion reactions in middle-aged and elderly patients was relatively high, especially for those over 50 yr old, with an adverse reaction of 135, for example, the proportion reached 42.45%. In addition, a retrospective analysis found that the occurrence of adverse transfusion reactions was mostly concentrated from Mar to Sep, a total of 228 cases, accounting for 71.69% of all adverse reactions, which was the highest incidence of adverse transfusion reactions. Conclusion: The main adverse reactions of transfusion were allergic reactions, followed by non-hemolytic febrile reactions, mainly caused by transfusion of suspended red blood cells.

Download Full-text

Evaluation of preoperative dry eye in people undergoing corneal refractive surgery to correct myopia

International Journal of Ophthalmology ◽

10.18240/ijo.2021.07.13 ◽

2021 ◽

Vol 14 (7) ◽

pp. 1047-1051

Author(s):

Peng-Fei Zhao ◽

◽

Ya-Bin Hu ◽

Kai Cao ◽

Ying Qi ◽

...

Keyword(s):

Influencing Factors ◽

Dry Eye ◽

Refractive Surgery ◽

Corneal Thickness ◽

Tear Film ◽

Corneal Curvature ◽

Related Factors ◽

History Of ◽

Corneal Refractive Surgery ◽

Male Patients

AIM: To investigate the incidence of preoperative dry eye and related factors in patients undergoing corneal refractive surgery to correct myopia. METHODS: A total of 141 patients with myopia who underwent corneal refractive surgery were surveyed by questionnaires, tear film break-up time (BUT) test, Schimer I test (SIt), corneal fluorescein staining (FL) test and diagnosed according to the currently recognized domestic diagnostic criteria for dry eye. Correlation analysis of factors such as age, gender, regular wearing of contact lens (CL), diopter (spherical equivalent), corneal thickness, and corneal curvature that may affect the onset of dry eye was carried out to clarify the main influencing factors. RESULTS: There were 64 patients (45.39%) diagnosed with dry eye. The male patients (20.31%) was significantly less than that of non-dry eye subjects (41.56%; χ2=7.260, P=0.007); the proportion of patients with dry eye wearing CL (81.25%) was significantly higher than that of non-dry eye subjects (51.95%; χ2=13.234, P<0.001); the median diopter level of dry eye patients was -6.59 (IQR: -8.87, -4.58) D, and the median diopter level of non-dry eye subjects was -5.69 (IQR: -7.15, -4.03) D. The diopter level of dry eye patients was significantly higher (Z=-2.086, P=0.019). However, the age, best corrected visual acuity, and intraocular pressure of dry eye patients were not statistically different from those of non-dry eye subjects (t=-0.257, -0.383 and 0.778, P=0.798, 0.702, and 0.438); the corneal thickness and corneal curvature (K1 and K2) were also not statistically different either (Z=-1.487, -1.036 and -1.707, P=0.137, 0.300, and 0.088). The research further analyzes the three significant factors in the single factor analysis (gender, CL wear, and diopter) in a multi-factor way: CL wear and diopter were the influencing factors of dry eye disease. Among them, CL wear increased the risk of dry eye by 2.934 times compared with no CL wear; for every 1 D increase in diopter, the risk of dry eye increased by 0.761 times. CONCLUSION: Preoperative dry eye is relatively common in patients who undergo corneal refractive surgery to correct myopia, especially in patients who have a history of CL wear and a high diopter level before surgery. Therefore, it is necessary to carry out preoperative screening and timely treatment of dry eye to obtain the best treatment outcome and postoperative satisfaction.

Download Full-text

Risk Occurred Probability and Influencing Factors of Stroke in Followed-Up Hypertension Patients

10.21203/rs.3.rs-760348/v1 ◽

2021 ◽

Author(s):

An-le Li ◽

Ying Qi ◽

Shuai Zhu ◽

Zhi-hao Hu ◽

Xue-jin Xu ◽

...

Keyword(s):

Blood Pressure ◽

Family History ◽

Influencing Factors ◽

Cumulative Risk ◽

Occurrence Rate ◽

Risk Probability ◽

History Of ◽

Second Peak ◽

Peak Value

Abstract Objective To explore the risk occurred probability and influencing factors of stroke in followed-up hypertension (HP) patients through the analysis of long-term followed-up cohort data. Methods The method of followed-up observation cohort was used to collect the information of 168417 followed-up hypertension patients from 2002 to 2020 in Jiading district in Shanghai. Kaplan-Meier method was used to analyze the risk occurred probability of stroke complications in long-term followed-up HP patients, and the influencing factors were analyzed by Cox proportional risk model. Results Among 168417 followed-up hypertension patients, 11143 cases had occurred stroke, and the cumulative occurrence rate of stroke was 6.62% (male was 6.87%, female was 6.37%). With the extension of the years of hypertension, the cumulative risk occurred probability of stroke in HP patients would continue to increasing, and the interval was not equidistant. The total cumulative risk probability of stroke in HP patients was 78.9% (male was 91.0%, female was 70.7%). During the period of hypertension, the risk occurred probability of stroke was not fixed, but fluctuates. There were 4 onset peaks, which were in 8 years (peak value 4.2%), 15 years (peak value 14.0%), 22 years (peak value 6.0%) and 26 years (peak value 13.9%). The highest risk probability of male patients was in 26 years (peak value 23.1%), and the second peak was in 15 years (peak value 15.6%). The highest risk probability of female patients was in 15 years (peak value 12.9%), and the second peak was in 26 years (peak value 8.7%). The risk probability of different sex, BP grad and BMI was different, male was higher than female, grade 3 HP higher than grade 1 and grad 2 HP, thin higher than normal weight. The major influencing factors of stroke complications were age (RR = 2.917, p < 0.001), body mass index (RR = 1.450, p < 0.001), family history of stroke (RR = 1.386, p < 0.001), blood pressure grad (RR = 1.148, p < 0.001), registry age (RR = 1.071, P < 0.001 and family history of hypertension (RR = 1.051, P < 0.001). Conclusion The risk occurred probability of stroke among hypertension would continue to increase disproportionately during period of hypertension, and the total cumulative risk probability could finally reach 78.9%. Male was higher than female. Age, BMI, family history (stroke and HP), blood pressure grad and duration of HP were related to the occurrence of stroke complications.

Download Full-text

History of Orthodontic Treatment, Treatment Needs and Influencing Factors in Adolescents in Croatia

Central European Journal of Public Health ◽

10.21101/cejph.a4117 ◽

2016 ◽

Vol 24 (2) ◽

pp. 123-127 ◽

Cited By ~ 2

Author(s):

Stjepan Špalj ◽

Višnja Katić ◽

Renata Vidaković ◽

Martina Šlaj ◽

Mladen Šlaj

Keyword(s):

Influencing Factors ◽

Orthodontic Treatment ◽

Treatment Needs ◽

History Of

Download Full-text

The Risk and Influencing Factors of Hypertension in Jinchang Cohort

American Journal of Hypertension ◽

10.1093/ajh/hpaa220 ◽

2021 ◽

Vol 34 (5) ◽

pp. 563-563

Author(s):

Qian Miao ◽

Shan Zheng ◽

Yan Luo ◽

Ming-zhen Wang ◽

Wen-zhi Zhu ◽

...

Keyword(s):

Blood Pressure ◽

Family History ◽

Influencing Factors ◽

Baseline Blood Pressure ◽

High Salt Diet ◽

Salt Diet ◽

History Of ◽

Family History Of Hypertension ◽

Diabetes Family History ◽

Diabetes Family

Abstract Background To investigate the incidence and influencing factors of hypertension in Jinchang cohort. Methods A prospective cohort study was conducted to collect the baseline and follow-up information of 22,826 employees from 2011 to 2015 based on the Jinchang cohort platform. The incidence of hypertension in the cohort was calculated and the influencing factors were analyzed by Cox proportional risk model. Results The subjects were followed up for an average of 22 years, and the incidence density of hypertension was 56.31/1000 person-years. Multivariate Cox regression results showed that the main risk factors for hypertension in the population included age ≥40 years, alcohol consumption, high-salt diet, history of diabetes, family history of hypertension, overweight and obesity, baseline systolic blood pressure ≥110 mm Hg and diastolic blood pressure ≥75 mm Hg, and higher education levels (middle school, high school, and above) were a protective factor. The incidence of grade 1 hypertension was related to age, drinking, history of diabetes, family history of hypertension and baseline blood pressure levels, and the incidence of grades 2 and 3 hypertension was related to high-salt diet, family history of hypertension, overweight or obesity, and baseline blood pressure levels. Conclusions The Jinchang cohort has a higher risk of hypertension. Age, unhealthy lifestyle, history of diabetes, family history of hypertension, obesity, and baseline blood pressure are strongly associated with the onset of hypertension. There are differences in the risk factors for the occurrence of grades 1, 2, and 3 hypertension.

Download Full-text

Abstract WP444: Influencing Factors on the Compliance in Ischemic Stroke Patients Treated With Remote Ischemic Conditioning

Stroke ◽

10.1161/str.51.suppl_1.wp444 ◽

2020 ◽

Vol 51 (Suppl_1) ◽

Author(s):

Hong Chang ◽

Jie Zhao ◽

Yuchen Qiao ◽

Ruan Zheng ◽

Wenya Cao ◽

...

Keyword(s):

Ischemic Stroke ◽

Influencing Factors ◽

Treatment Compliance ◽

Multivariate Regression Analysis ◽

Clinical Implementation ◽

Stroke Patients ◽

Remote Ischemic Conditioning ◽

Ischemic Conditioning ◽

History Of ◽

One Year

Objectives: To investigate the treatment compliance of remote ischemic conditioning in patients with ischemic stroke, and determine its associated influencing factors. Methods: A retrospective survey of ischemic stroke patients treated with remote ischemic conditioning was conducted. Treatment compliance was obtained and analysed in patients with one-year training of remote ischemic conditioning. The influencing factors on patients’ compliance were determined by univariate and multivariate regression analysis. Results: The history of hypertension, the number of follow-ups, and the physiological, psychological and environmental dimensions of the comfort scale were related to patient compliance, out of which the number of follow-ups and physiological comfort were independent influencing factors of compliance (P<0.05). Conclusion: In future researches, if we can comprehensively consider the patient’s efficacy, comfort, compliance and other factors, choose the optimal treatment dose, and improve the RIC nursing process accordingly, then this will provide the basis for clinical implementation and scientific research of RIC.

Download Full-text