scholarly journals Health hazards related to Soba sewage treatment plant, Sudan

2017 ◽  
Author(s):  
Rasha Osman Abdelwahab Abdelmoneim ◽  
Ranien Mohamed El Mortada Mahi Eldin Mahdi ◽  
Rawia Moawia Elamin Elahmer ◽  
Rogaya Adel Derar Elansary ◽  
Safaa Elsafi Widaa Mohamed ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Sewage Treatment ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Health Hazards ◽  
Alpha Reliability

The aim of this study was to determine the health hazards acquired by the residents nearby Soba sewage treatment plant. A descriptive cross-sectional study was carried out in Soba locality, Khartoum, Sudan. An interviewer-administrated questionnaire was assigned to 462 residents of the area living in four geographically distributed squares around the sewage plant. The data was analyzed in SPSS; Cronbach’s alpha reliability scale of measurement was used to check the internal validity of six variables related to the quality of life. A logistic regression analysis was used to assess the relationship between the health hazards and the quality of life. Among the 462 residents, difficulty in breathing (37.9%) and nausea (37.2) were the principal health hazards. Moreover, the residents had a satisfactory level of awareness (88.7%) about the health hazards. The utmost impact on the quality of life was psychological (97.2%). It was statistically correlated with the reported factors, which impacted the quality of life in the district as revealed by the Cronbach’s alpha reliability test with absenteeism (P=0.026), disability (P=0.014), socialization (P=0.032) and death (P=0.016). A logistic regression analysis revealed chemical hazards had a statistically significant association (P<0.05) with quality of life of the residents of Soba district. The study strongly entails the fact that sewage treatment plants crave exceptional consideration from the concerned responsible authorities, together with the fact that the evolved health threats should be confronted with immense responsibility as soon as possible.

scholarly journals Study on the relationship of depression, anxiety, lifestyle and eating habits with the severity of reflux esophagitis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Rongxin Wang ◽  
Jing Wang ◽  
Shuiqing Hu
Keyword(s):  
Quality Of Life ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Reflux Esophagitis ◽  
Eating Habits ◽  
Positive Correlation ◽  
Relationship Of ◽  
The Relationship

Abstract Background The etiology of reflux esophagitis (RE) is multi-factorial. This study analyzed the relationship of depression, anxiety, lifestyle and eating habits with RE and its severity and further explored the impact of anxiety and depression on patients’ symptoms and quality of life. Methods From September 2016 to February 2018, a total of 689 subjects at Xuanwu Hospital Capital Medical University participated in this survey. They were divided into the RE group (patients diagnosed with RE on gastroscopy, n = 361) and the control group (healthy individuals without heartburn, regurgitation and other gastrointestinal symptoms, n = 328). The survey included general demographic information, lifestyle habits, eating habits, comorbidities, current medications, the gastroesophageal reflux disease (GERD) questionnaire (GerdQ), the Patient Health Questionnaire-9 depression scale and the General Anxiety Disorder-7 anxiety scale. Results The mean age and sex ratio of the two groups were similar. Multivariate logistic regression analysis identified the following factors as related to the onset of RE (p < 0.05): low education level; drinking strong tea; preferences for sweets, noodles and acidic foods; sleeping on a low pillow; overeating; a short interval between dinner and sleep; anxiety; depression; constipation; history of hypertension; and use of oral calcium channel blockers. Ordinal logistic regression analysis revealed a positive correlation between sleeping on a low pillow and RE severity (p = 0.025). Depression had a positive correlation with the severity of symptoms (rs = 0.375, p < 0.001) and patients’ quality of life (rs = 0.306, p < 0.001), whereas anxiety showed no such association. Conclusions Many lifestyle factors and eating habits were correlated with the onset of RE. Notably, sleeping on a low pillow was positively correlated with RE severity, and depression was positively related to the severity of symptoms and patients’ quality of life.

scholarly journals Chronic pain after breast surgery: incidence, associated factors and impact on quality of life, an observational prospective study

2021 ◽  
Author(s):  
Gianluca Villa ◽  
Raffaele Mandarano ◽  
Caterina Scirè Calabrisotto ◽  
Valeria Rizzelli ◽  
Martina Del Duca ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Risk Factors ◽  
Chronic Pain ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Breast Surgery ◽  
Factors Associated ◽  
Axillary Surgery

Abstract Background. Chronic pain after breast surgery (CPBS) has a disabling impact on postoperative health status. Mainly because of the lack of a clear definition, inconsistency does exist in the literature concerning both the actual incidence and the risk factors associated to CPBS. The aim of this prospective, observational study is to describe the incidence of and risk factors for CPBS, according to the definition provided by the IASP taskforce. The impact of CPBS on patients’ function and quality of life is also described. Methods. Women aged 18+ undergoing oncological or reconstructive breast surgery from Jan until Apr 2018 at the Breast Unit of Careggi Hospital (Florence, Italy) were prospectively observed. Postoperative pain was measured at 0hrs, 3hrs, 6hrs, 12hrs, 24hrs, 48hrs, and 3 months (CPBS) after surgery. Preoperative, intraoperative, and postoperative factors were compared in CPBS and No-CPBS groups through multivariate logistic regression analysis. Results. Among the 307 patients considered in this study, the incidence of CPBS was 28% [95%CI 23.1%-33.4%]. Results from the logistic regression analysis suggest that axillary surgery (OR [95%CI], 2.99 [1.13-7.87], p=0.03), preoperative use of pain medications (OR [95%CI], 2.04 [1.20-3.46], p=0.01), and higher dynamic NRS values at 6 hours postoperatively (OR [95%CI], 1.28 [1.05-1.55], p=0.01) were all independent predictors for CPBS. Conclusions. Chronic pain after breast surgery is a frequent complication. In our cohort, long-term use of analgesics for pre-existing chronic pain, axillary surgery, and higher dynamic NRS values at 6 hours postoperatively were all factors associated with increased risk of developing CPBS. The possibility to early detect persistent pain, particularly in those patients at high risk for CPBS, might help physicians to more effectively prevent pain chronicisation.Trial registration: clinicalTrials.gov registration NCT04309929

scholarly journals Quality of life of elderly people who care for other elderly people with neurological diseases

2018 ◽  
Vol 21 (4) ◽  
pp. 428-438 ◽  
Author(s):  
Julimar Fernandes de Oliveira ◽  
Lais Lopes Delfino ◽  
Samila Sathler Taveres Batistoni ◽  
Anita Liberalesso Neri ◽  
Meire Cachioni
Keyword(s):  
Quality Of Life ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Elderly People ◽  
Logistic Regression Analysis ◽  
Neurological Diseases ◽  
The Elderly ◽  
Care Recipient ◽  
Categorical Variables

Abstract Objective: to investigate the relationships between the perceived quality of life of elderly people who care for other elderly people with neurological diseases (dementia and strokes) and the gender, age and caregiver burden, diagnosis, functional dependence, and cognitive status of the care recipient. Method: 75 caregivers aged over 60 years were interviewed using the Quality of Life Scale (CASP-19) and Zarit Burden Interview. The levels of physical vulnerability of the elderly were identified through the Lawton and Brody questionnaires and the Katz scale and the cognitive assessment of elderly care recipients was assessed with the Clinical Dementia Rating. The data were analyzed by chi-squared test (for comparison of categorical variables), Mann-Whitney and Kruskal-Wallis U tests (for comparison of continuous variables). To study the associations between variables, univariate logistic regression analysis was performed, followed by multivariate logistic regression analysis. Results: the age, gender of the caregiver, type of neurological condition, and physical and cognitive functioning of the care recipient did not statistically influence the quality of life of the caregiver. Elderly caregivers with higher levels of burden (≥29) were 11.4 times more likely to have a worse quality of life score (CI: 3.16-36.77; p <0.001). Conclusion: the quality of life of the elderly caregiver is negatively influenced by the burden involved in caring for another elderly person. Identifying the negative emotional aspects of caregivers that negatively affect their quality of life should be considered a target for intervention by health teams.

scholarly journals Chronic pain after breast surgery: incidence, associated factors, and impact on quality of life, an observational prospective study

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Gianluca Villa ◽  
Raffaele Mandarano ◽  
Caterina Scirè-Calabrisotto ◽  
Valeria Rizzelli ◽  
Martina Del Duca ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Risk Factors ◽  
Chronic Pain ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Breast Surgery ◽  
Factors Associated ◽  
Axillary Surgery

Abstract Background Chronic pain after breast surgery (CPBS) has a disabling impact on postoperative health status. Mainly because of the lack of a clear definition, inconsistency does exist in the literature concerning both the actual incidence and the risk factors associated to CPBS. The aim of this prospective, observational study is to describe the incidence of and risk factors for CPBS, according to the definition provided by the IASP taskforce. The impact of CPBS on patients’ function and quality of life is also described. Methods Women aged 18+ undergoing oncological or reconstructive breast surgery from Jan until Apr 2018 at the Breast Unit of Careggi Hospital (Florence, Italy) were prospectively observed. Postoperative pain was measured at 0 h, 3 h, 6 h, 12 h, 24 h, 48 h, and 3 months (CPBS) after surgery. Preoperative, intraoperative, and postoperative factors were compared in CPBS and No-CPBS groups through multivariate logistic regression analysis. Results Among the 307 patients considered in this study, the incidence of CPBS was 28% [95% CI 23.1–33.4%]. Results from the logistic regression analysis suggest that axillary surgery (OR [95% CI], 2.99 [1.13–7.87], p = 0.03), preoperative use of pain medications (OR [95% CI], 2.04 [1.20–3.46], p = 0.01), and higher dynamic NRS values at 6 h postoperatively (OR [95% CI], 1.28 [1.05–1.55], p = 0.01) were all independent predictors for CPBS. Conclusions Chronic pain after breast surgery is a frequent complication. In our cohort, long-term use of analgesics for pre-existing chronic pain, axillary surgery, and higher dynamic NRS values at 6 h postoperatively were all factors associated with increased risk of developing CPBS. The possibility to early detect persistent pain, particularly in those patients at high risk for CPBS, might help physicians to more effectively prevent pain chronicisation. Trial registration ClinicalTrials.gov registration NCT04309929.

scholarly journals Chronic pain after breast surgery: incidence, associated factors and impact on quality of life, an observational prospective study

2020 ◽  
Author(s):  
Gianluca Villa ◽  
Raffaele Mandarano ◽  
Caterina Scirè Calabrisotto ◽  
Valeria Rizzelli ◽  
Martina Del Duca ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Risk Factors ◽  
Chronic Pain ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Breast Surgery ◽  
Factors Associated ◽  
Axillary Surgery

Abstract Background. Chronic pain after breast surgery (CPBS) has a disabling impact on postoperative health status. Mainly because of the lack of a clear definition, inconsistency does exist in the literature concerning both the actual incidence and the risk factors associated to CPBS. The aim of this prospective, observational study is to describe the incidence of and risk factors for CPBS, according to the definition provided by the IASP taskforce. The impact of CPBS on patients’ function and quality of life is also described. Methods. Adult female patients scheduled for oncological or reconstructive breast surgery at the Breast Unit of Careggi Hospital (Florence, Italy) were prospectively observed. Postoperative pain was evaluated at 3 months (CPBS) after surgery. Preoperative, intraoperative, and postoperative factors were compared in CPBS and No-CPBS groups through multivariate logistic regression analysis. Results. Among the 307 patients considered in this study, the incidence of CPBS was 28% [95%CI 23.1%-33.4%]. Results from the logistic regression analysis suggest that axillary surgery (OR [95%CI], 2.99 [1.13-7.87], p=0.03), preoperative use of pain medications (OR [95%CI], 2.04 [1.20-3.46], p=0.01), and higher dynamic NRS values at 6 hours postoperatively (OR [95%CI], 1.28 [1.05-1.55], p=0.01) were all independent predictors for CPBS. Conclusions. Chronic pain after breast surgery is a frequent complication. In our cohort, long-term use of analgesics for preexisting chronic pain, axillary surgery, and higher dynamic NRS values at 6 hours postoperatively were all factors associated with increased risk of developing CPBS. The possibility to early detect persistent pain, particularly in those patients at high risk for CPBS, might help physicians to more effectively prevent pain chronicisation.Trial registration: clinicalTrials.gov registration NCT04309929

scholarly journals Chronic pain after breast surgery: incidence, associated factors and impact on quality of life, an observational prospective study

2020 ◽  
Author(s):  
Gianluca Villa ◽  
Raffaele Mandarano ◽  
Caterina Scirè Calabrisotto ◽  
Valeria Rizzelli ◽  
Martina Del Duca ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Risk Factors ◽  
Chronic Pain ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Breast Surgery ◽  
Factors Associated ◽  
Axillary Surgery

Abstract Background. Chronic pain after breast surgery (CPBS) has a disabling impact on postoperative health status. Mainly because of the lack of a clear definition, inconsistency does exist in the literature concerning both the actual incidence and the risk factors associated to CPBS. The aim of this prospective, observational study is to describe the incidence of and risk factors for CPBS, according to the definition provided by the IASP taskforce. The impact of CPBS on patients’ function and quality of life is also described. Methods. Adult female patients scheduled for oncological or reconstructive breast surgery at the Breast Unit of Careggi Hospital (Florence, Italy) were prospectively observed. Postoperative pain was evaluated at 2 months (“pain becoming chronic”) and at 3 months (CPBS) after surgery. Preoperative, intraoperative, and postoperative factors were compared in CPBS and No-CPBS groups through multivariate logistic regression analysis. Results. Among the 307 patients considered in this study, the incidence of “pain becoming chronic” was 25.4% [95%CI 20.6%-30.7%], while that of CPBS was 28% [95%CI 23.1%-33.4%]. The presence of pain at 2 months concords with the presence of CPBS at 3 months (Cohen k coefficient 0.63, IC95% 0.54-0.73). Results from the logistic regression analysis suggest that axillary surgery (OR [95%CI], 2.99 [1.13-7.87], p=0.03), preoperative use of pain medications (OR [95%CI], 2.04 [1.20-3.46], p=0.01), and higher dynamic NRS values at 6 hours postoperatively (OR [95%CI], 1.28 [1.05-1.55], p=0.01) were all independent predictors for CPBS. Conclusions. Chronic pain after breast surgery is a frequent complication. The presence of early pain at 2 months after surgery concords with the occurrence of CPBS. The possibility to early detect persistent pain, particularly in those patients at high risk for CPBS, might help physicians to more effectively prevent pain chronicization. In our cohort, long-term use of analgesics for preexisting chronic pain, axillary surgery, and higher dynamic NRS values at 6 hours postoperatively were all factors associated with increased risk of developing CPBS. Trial registration: clinicalTrials.gov registration NCT04309929

scholarly journals Association between Noise Exposure and Quality of Life among People Living Near Stone-Mortar Factories, Phayao Province, Northern Thailand

2020 ◽  
Vol 19 (2) ◽  
pp. 1-8
Author(s):  
Sakesun Thongtip ◽  
◽  
Sarawut Sangkham ◽  
Piyavadee Srivichai ◽  
Patipat Vongruang ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Noise Exposure ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Analysis ◽  
Cross Sectional ◽  
Residential Neighborhood

Noise may have adverse effects on health and quality of life (QoL). This study assessed the association between noise exposure and QoL among people living near stone-mortar factories. A cross-sectional descriptive study was conducted using 269 subjects. The data was collected using questionnaires, sound level meter, and a geographic information system technique. The statistical analysis was carried out using independent t-test, ANOVA, Pearson’s correlation coefficient test and multiple binary logistic regression analysis. The average noise in factory no. 2, 4, and 5 was found to be higher than the standard level of NIOSH at 85 dB(A) and OSHA at 90 dB(A) for an 8-hour TWA. The multiple binary logistic regression analysis showed that an increasing residential distance was associated with high noise exposure after adjusting for age, education, income, length of stay in community, and overall QoL. The local policy makers should be required to emphasize on the reduction of noise pollution in stone-mortar factories and health surveillance of the residential neighborhood.

scholarly journals Study on the relationship of depression, anxiety, lifestyle and eating habits to the severity of reflux esophagitis

2020 ◽  
Author(s):  
Rongxin Wang ◽  
Jing Wang ◽  
Shuiqing Hu
Keyword(s):  
Quality Of Life ◽  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Reflux Esophagitis ◽  
Eating Habits ◽  
Positive Correlation ◽  
Independent Risk Factors

Abstract Background: The etiology of reflux esophagitis (RE) is multi-factorial. This study aims to analyze the risk factors of the RE, its severity and further explore the impact of anxiety and depression on the patients' symptoms and quality of life. Methods: From September 2016 to February 2018, a total of 689 subjects at Xuanwu Hospital Capital Medical University participated in the survey. They were divided into RE group (patients diagnosed as RE on gastroscopy, n = 361) and control group (healthy individuals without heartburn, regurgitation and other typical symptoms, n = 328). The survey included general demographic data, lifestyle habits, eating habits, GERD questionnaire (GerdQ), PHQ-9 depression scale and GAD-7 anxiety scale. Results: The mean age and sex ratio of the two groups were similar. Multivariate logistic regression analysis showed that low education level, drinking strong tea, preference for sweets and acidic foods, overeating, short interval between dinner and sleep, anxiety, depression, sleeping on low pillow and constipation were independent risk factors for RE (p< 0.05). Ordinal logistic regression analysis showed positive correlation between sleeping on low pillow and the severity of RE (p=0.024). Depression had positive correlation with the severity of symptoms (rs=0.375，P<0.001) and the quality of life (rs=0.306，P<0.001), whereas anxiety had no such association. Conclusions: Many lifestyle and eating habits are independent risk factors for the development of RE. Sleeping on low pillow was positively correlated with the severity of RE. Depression was positively related to the severity of symptoms and the quality of life.

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