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1.
Medicine (Baltimore) ; 100(31): e26818, 2021 Aug 06.
Artigo em Inglês | MEDLINE | ID: mdl-34397841

RESUMO

ABSTRACT: Hypertension is the leading cause of increased morbidity and mortality rates worldwide. Despite adherence to therapies is the important determinant of treatment success to reduce apparent resistant hypertension, maintaining good adherence to antihypertensive medications remained the most serious challenge. Thus, this study aimed to assess adherence to antihypertensive medications among adult hypertensive patients in Dessie Referral Hospital.A cross-sectional study design was conducted among hypertensive patients during May and June 2020. The study participants were selected using a systematic random sampling technique. The collected data were entered into EpiData version 4.4 and exported to SPSS version 25.0 software for data cleaning and analysis. Data were analyzed using bivariable and multivariable logistic regression at a 95% confidence interval (CI). A variable that has a P-value < .05 was declared as statistically significant. Hosmer-Lemeshow test was used to test goodness-of-fit and multicollinearity was tested.The overall good adherence to antihypertensive medications was 51.9%; 95% CI: (46.8-58.3%) and poor adherence was 48.1%. Factors associated with good adherence were: sex-female adjusted odd ratio (AOR) = 1.31; 95% CI (1.06-2.52), occupational status-employed AOR = 2.24; 95% CI (1.33-3.72), good knowledge of the disease AOR = 2.20; 95% CI (1.34-3.72) and good self-efficacy AOR = 1.38; 95% CI (1.20-2.13).This study revealed that almost half of the hypertensive patients in Dessie Referral Hospital had good antihypertensive medication adherence. Sex, occupational status, knowledge, and self-efficacy were factors associated with good adherence. Therefore, health education should be given to patients on the importance of complying with medication and patients should be monitored by health extension workers.


Assuntos
Anti-Hipertensivos/uso terapêutico , Hipertensão , Adesão à Medicação , Adulto , Causalidade , Indicadores de Doenças Crônicas , Estudos Transversais , Emprego , Etiópia/epidemiologia , Feminino , Conhecimentos, Atitudes e Prática em Saúde , Humanos , Hipertensão/diagnóstico , Hipertensão/tratamento farmacológico , Hipertensão/epidemiologia , Hipertensão/psicologia , Masculino , Adesão à Medicação/psicologia , Adesão à Medicação/estatística & dados numéricos , Pessoa de Meia-Idade , Prevalência , Centros de Cuidados de Saúde Secundários/estatística & dados numéricos , Autoeficácia , Fatores Sexuais
2.
PLoS One ; 16(8): e0255824, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34352017

RESUMO

BACKGROUND: Depressive symptoms are the most common psychiatric complication of Human Immunodeficiency Virus (HIV) infection. They are associated with poor drug adherence, treatment failure, and increase the risk for suicide. There was limited evidence of depressive symptoms among HIV-positive patients in the study area. So, this study aimed to determine the prevalence of depressive symptoms and associated factors among HIV-positive patients attending public health facilities of Dessie town, North-central Ethiopia, 2019. METHOD: A cross-sectional study was conducted on 380 HIV-positive patients attending ART clinics in Dessie town, North-central Ethiopia, 2019. Samples were selected using systematic random sampling and the data were collected by using structured, pretested, and interviewer-administered questionnaires. Patient Health Questionnaire (PHQ-9) at a cut-off point of 5 was used to assess depressive symptoms. The data were entered by Epi data version 3.1 and analyzed by SPSS version 25. A binary logistic regression model was used to identify factors associated with depressive symptoms. The Adjusted Odds Ratio (AOR) along with a 95% Confidence Interval (CI) was estimated to measure the association. The level of significance was declared at a p-value of less than 0.05. RESULT: The prevalence of depressive symptoms among HIV positive patients was 15.5% (95% CI: (12.4%, 19.2%)). Age 40-49 years compared to 30-39 years (AOR = 2.96, 95% CI: (1.01, 8.68)), age ≥50 years compared to 30-39 years (AOR = 3.81, 95% CI: (1.05, 13.8)), having perceived stigma (AOR = 10.2, 95%CI: (4.26, 24.4)) taking medication other than Antiretroviral Therapy (ART) (AOR = 2.58, 95% CI: (1.25, 5.33)) and history of opportunistic infections (AOR = 5.17, 95% CI: (1.31, 20.4)) were factors associated with depressive symptoms. CONCLUSION: The prevalence of depressive symptoms was low compared to previous studies. Age, perceived stigma, taking medication other than ART, and history of opportunistic infections were factors associated with depressive symptoms. Health education and counseling programs should be strengthened and target older patients, patients who took medications other than ART, patients who experienced perceived stigma and patients with a history of history opportunistic infections.

3.
Biomed Res Int ; 2020: 5969326, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-33145356

RESUMO

Background: Morbidity and mortality due to chronic kidney disease are increasing among hypertensive patients in Sub-Saharan Africa. The majority of hypertensive patients with chronic kidney disease are not diagnosed at an early stage because of poor knowledge. However, to the best of our knowledge, there is no study conducted in Ethiopia about knowledge of hypertensive patients towards prevention and early detection of chronic kidney disease. Thus, the aim of this study was to assess knowledge towards prevention and early detection of chronic kidney disease and associated factors among hypertensive patients at Jimma town public hospitals, Ethiopia. Methods: A hospital-based cross-sectional study was conducted among 332 hypertensive patients using an interviewer-administered questionnaire and medical record reviewing from April 5 to May 21, 2019. Study participants were selected using simple random sampling. Data were collected by using a standardized questionnaire. Data were entered into Epidata version 3.1 and analyzed by SPSS version 23. Descriptive statistics and bivariable and multivariable logistic regression were applied. To identify factors, a 95% confidence level and P value of less than 0.05 were considered. Results: Over half (59.6%) were males, and the mean (±SD) age of participants was 54.92 (12.91) years. Among the total participants, more than half of them (47.9%) had good knowledge. Attending secondary education (AOR = 2.9, P = 0.014), higher education (AOR = 5.4, P = 0.001), working in private sectors (AOR = 4.3, P = 0.001), taking three and above drugs per day (AOR = 0.55, P = 0.016), and having a family history of kidney disease (AOR = 2.3, P = 0.012) were significantly associated with knowledge. Conclusion and Recommendation. Near to half of the study participants had good knowledge towards prevention and early detection of chronic kidney disease. Attending secondary education and above, working in private sectors, taking three and above drugs per day, and having a family history of kidney disease were independent predictors of knowledge. Hypertensive patients should be encouraged to be aware of risk factors of CKD, and health care providers should educate hypertensive patients about the prevention and early detection of chronic kidney disease.


Assuntos
Conhecimentos, Atitudes e Prática em Saúde , Hipertensão/diagnóstico , Insuficiência Renal Crônica/diagnóstico , Adolescente , Adulto , Estudos Transversais , Escolaridade , Feminino , Hospitais Públicos , Humanos , Hipertensão/fisiopatologia , Hipertensão/prevenção & controle , Hipertensão/psicologia , Masculino , Estado Civil , Pessoa de Meia-Idade , Insuficiência Renal Crônica/fisiopatologia , Insuficiência Renal Crônica/prevenção & controle , Insuficiência Renal Crônica/psicologia , Tamanho da Amostra , Inquéritos e Questionários
4.
Diabetes Metab Syndr Obes ; 13: 4067-4075, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-33149646

RESUMO

Background: Overweight and obesity results in poor control of chronic illnesses such as diabetes mellitus. The main reason for being overweight and obese among patients with chronic illness is low level of physical activity. Thus, this study aimed to assess level of physical activity and its associated factors among type II diabetes patients at Dessie Referral Hospital, Northeast Ethiopia. Methods: A hospital-based cross-sectional study was employed from October 1 to November 25 2019 in Dessie Referral Hospital. The study utilized systematic sampling technique to recruit the sample population of 364 diabetic patients. Face-to-face exit interview was used to collect the data. The data were presented with text and tables. Bivariable and multivariable binary logistic regression was employed to identify independent predictors of low level of physical activity at a P-value of <0.05. Results: From the total study participants, 110 (33.1%) of them did not perform health enhancing physical activity. Patients whose body mass index was below 18.5 kg/m2 did not perform health enhancing physical activity twice more likely compared with patients whose weight was normal (AOR=2.36, 95%CI: 0.02-5.42). Patients who were depressed did not perform health enhancing physical activity five times more likely compared with their counterparts (AOR=4.83, 95%CI: 1.46-15.96). In addition, being widowed (P=0.037), living in an urban area (P=0.028) and duration of disease (P=0.020) were statistically associated with low level of physical activity. Conclusion and Recommendations: The level of physical activity among patients with type II diabetes was low. Being widowed, living in an urban area, being underweight, duration of disease and being depressed were independent predictors of low level of physical activity. Health education should be given in every visit to patients with type II diabetes. Promotion of physical activity through campaign should be done.

5.
Diabetes Metab Syndr Obes ; 13: 4529-4541, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-33244250

RESUMO

Background: Diabetes mellitus is a disorder of carbohydrate metabolism and it is highly related with diminished HRQOL in Ethiopia; diabetic related complications especially bring major negative impacts on HRQOL. Objective: To assess HRQOL and associated factors among type two diabetic patients in Dessie Comprehensive Specialized Hospital, north east Ethiopia, 2020. Methods: Institutional-based cross-sectional study design was conducted on 417 patients through systematic random sampling technique from February 08 to April 08, 2020. WHO HRQOL 26 items were used to measure outcome variable. Face-to-face interview, document review and measurement were implemented to collect data. The data were analyzed by IBM SPSS Statistics version 25 and summarized by using tables. Simple linear regression analysis was done and forwarded to multivariable linear regression analysis at p-value <0.25. Next multivariable linear regression analysis was done and variables whose p-value less than 0.05 with unstandardized B-coefficient were declared significant predictor variables. Results: The mean scores of physical domain, psychological domain, environmental domain and social domain were 48±6.7 (47-49), 52±4.2 (50-52.3), 48.9±3.4 (48-50.4) and 49±4 (48-50), respectively. As age increased by one year, patients' physical HRQOL decreased by 0.031 factor, keeping effect of other variables constant [-0.031, 95% CI (-0.050 to-0.013)]. As duration of diabetes increased by one year, patients' physical HRQOL increased by 0.034 factor, keeping effect of other variables constant [0.034, 95% CI (0.004 to 0.065)]. In general, age, depression, perceived social stigma, self-employed, having two complications, widowed, insulin and oral anti-diabetic medication affected HRQOL negatively and duration of diabetes in physical domain and university level of education in environmental domain affected HRQOL positively. Conclusion and Recommendation: The mean score of health-related quality of life in physical health domain, psychological health domain, social health domain and environmental health domain was recorded nearly half score point out of a hundred. Health professionals should follow a holistic approach to management to address negatively associated predictor variables with HRQOL.

6.
Sleep Disord ; 2020: 6125845, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32523782

RESUMO

Background: Chronic illnesses have a negative impact on the quality of sleep; however, patients with chronic illness do not bring sleep issues while they are coming to a health institution for a follow-up. As a result, poor sleep quality among patients with chronic illness is often unrecognized and untreated, and it results to a negative impact on the prognosis of chronic illness. Methods: An institutional-based cross-sectional study design was employed from February 22, 2018, to April 6, 2018. The total sample size was 396. The study employed a stratified random sampling technique, and study participants were selected by systematic sampling. The data were collected by a Pittsburgh Sleep Quality Index (PSQI) questionnaire which is a validated and standardized tool. The data were analyzed by SPSS version 25; text, tables, and figures were utilized for data presentation. By considering a 95% confidence level and P value of 0.05, binary logistic regression and Kruskal-Wallis test were enrolled. Results: The prevalence of poor sleep quality among diabetes, hypertension, and heart failure patients was 36.5%. The odds of being a poor sleeper are increased when age increased. Patients who have poor perception towards the prognosis of their illness were four times more likely to be a poor sleeper compared to patients with good perception (AOR = 4.21, 95%CI = 1.94-9.13, P = 0.001). Patients who have anxiety were four times more likely to be a poor sleeper compared with patients without anxiety (AOR = 3.69, 95%CI = 2.19-6.20, P = 0.001). The educational level and residence were other factors associated with sleep quality. There was a statistically significant difference of sleep quality between patients with diabetes and hypertension, and diabetes and heart failure (F (2, 384) = 10.92, P = 0.004). Conclusion and Recommendations. In this study, over one-third of patients had poor sleep quality. Age, educational level, residence, perception towards prognosis of illness, and anxiety were factors associated with sleep quality. All health care providers should assess and provide advice about sleep hygiene and influencing factors. Assessment of sleep quality for every diabetes, hypertension, and heart failure patients in every visit should be incorporated in the care package.

7.
Behav Neurol ; 2020: 3609873, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32509038

RESUMO

Background: Anxiety and depression are common in patients with diabetes, hypertension, and heart failure. However, they are usually unrecognized and untreated especially in developing countries. Identifying factors associated with anxiety and depression is helpful for early screening and management. Objective: This study is aimed at assessing factors associated with anxiety and depression among diabetes, hypertension, and heart failure patients at Dessie Referral Hospital, Northeast Ethiopia. Methods: An institutional-based cross-sectional study was conducted in Dessie Referral Hospital from February 22, 2019 to April 6, 2019. A total of 404 diabetic, hypertension, and heart failure patients were included through systematic sampling technique. The data were collected by face-to-face interview. After data collection, the data were cleaned and presented with text, graphs, and tables. Multivariable binary logistic regression was deployed to identify factors at a P value of < 0.05. Result: A total of 384 patients participated with a 94.8% response rate. Among these, 32% and 5.73% of them had anxiety and depression, respectively. Patients who did not read and write develop anxiety 7.89 times more likely compared with those whose educational status is diploma and above (AOR: 7.89; 95% CI: 3.08-20.26; P = 0.001). Patients who took substances like chat, cigarette, shisha, hashish, and alcohol develop anxiety 2.56 times more likely compared with their counterparts (AOR: 2.56; 95% CI: 1.05-6.23; P = 0.038). Patients whose level of physical activity is inactive develop depression 24 times more likely than patients who did a health-enhancing physical activity. Patients who are widowed develop depression 5 times more likely compared with married patients. Conclusion and Recommendations. Low educational level, being single and widowed, substance use, poor perception towards prognosis of illness, and monthly income were factors associated with anxiety. On the other hand, being single and unable to do physical activity were statistically associated with depression. Patients with low educational level and monthly income should be screened and supported for anxiety. Health care providers should provide advice to patients about the importance of physical activity to prevent depression.

8.
Diabetes Metab Syndr Obes ; 13: 869-878, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32273738

RESUMO

Background: Tuberculosis remains a serious global public health problem. It mainly affects the lungs, and occurs in every part of the world. The link between tuberculosis and diabetes mellitus is essential to inform programs and policies, yet there is a scarcity of information in our study area. Therefore, this study aimed to investigate the incidence and predictors of tuberculosis among diabetic patients at Debre Markos Referral Hospital, northwest Ethiopia. Methods: This institutionally based retrospective cohort study was undertaken among 433 diabetic patients of Debre Markos Referral Hospital between January 2013 and December 2017. All eligible diabetic patients who met the inclusion criteria were included in the study. Data were entered using EpiData version 3.1 and analyzed using Stata version 14. The survival time of diabetic patients was estimated using Kaplan-Meier survival curves, and survival time among different categorical variables compared using the log-rank test. Both bivariate and multivariate Coxproportional-hazard regression models were fitted to identify independent predictors of tuberculosis among diabetic patients. Results: Among the cohort of 43326 (6%) developed tuberculosis during follow-up. The overall tuberculosis-incidence rate was 2.4 per 100 with 95% CI. The total time allotted to follow up the study participants was 1,101.5 person-years. Using multivariate Cox regression analysis, history of alcohol consumption (adjusted incidence ratio 4, 95% CI 1.2-13; P=0.02) and history of tuberculosis (12, 95% CI 3-39; P=0.01) significantly increased the risk of tuberculosis, but normal body-mass index and above (≥18.5 kg/m2) was associated with a rate reduction (0.34, 95% CI 0.14; P=0.80; 0.03) forincidence of tuberculosis. Conclusion: In this study, we found a high rate of tuberculosis among diabetic patients. Factors significantly linked with increased risk of tuberculosis included history of alcohol consumption, history of tuberculosis, and low body-mass index. Early screening and treatment for tuberculosis is highly recommended at diabetes mellitus follow-up for patients with these risk factors.

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