Prevalence, knowledge, and lifestyle-associated risk factors of dyslipidemia among Ghanaian type-2 diabetes mellitus patients in rural and urban areas: A multicenter cross-sectional study

Background and Aims: Dyslipidemia in diabetes mellitus has been linked to unhealthy lifestyle and bad eating habits. However, this association has not been well studied among rural and urban Ghanaian populations. In this study, we determined the prevalence, knowledge, and lifestyle-associated risk factors of dyslipidemia among Ghanaian type-2 diabetes mellitus (T2DM) patients in rural and urban areas. Methods: This comparative multicentre-cross-sectional study recruited 228 T2DM outpatients attending the St. Michael Hospital, Pramso (rural) and Kumasi South Regional Hospital (urban), Ghana for routine check-ups. Self-structured questionnaire was used to collect sociodemographic, knowledge, and lifestyle characteristics. Fasting blood samples were taken to measure lipid profiles. Dyslipidemia was defined per the American Diabetes Association criteria. All p \u3c 0.05 were considered statistically significant. Results: The overall prevalence of dyslipidemia was 79/228 (34.7%). Dyslipidemia was more prevalent among urban participants 43 (18.9%) than rural participants 36 (15.8%). Twenty-seven (11.7%) had adequate knowledge about the risk factors, complications, and management of diabetes. Eating supper after 7 p.m. [adjusted odds ratio = 3.77, 95% confidence interval (1.70–8.37), p = 0.001] significantly increased one\u27s risk of having dyslipidemia by 3.8-fold compared to eating supper earlier (before 5 p.m.). Conclusion: Dyslipidemia is increasing among T2DM patients in both urban and rural areas and it\u27s independently influenced by eating supper after 7 p.m. Most participants were ignorant of the risk factors, complications, and management of diabetes. Adjusting eating habits and increasing diabetes awareness programs to sensitize the general public can mitigate the increasing prevalence of dyslipidemia in both urban and rural areas

Detection of anaemia using medical images: A comparative study of machine learning algorithms – A systematic literature review

Background: Anaemia is a global public health challenge that affects children and pregnant women. Anaemia develops when the body's supply of red blood cells declines or when the structure of the cells is weakened. The clinical diagnosis of anaemia has several challenges in practice, including insufficient funding for medical tests, inadequate medical personnel and resources in remote areas, and client reluctance that results in abstinence. Several machine learning techniques for anaemia detection have been developed due to their affordability, simplicity of use, and non-invasive nature as compared to the invasive approach. Methods: We perform a systematic review and examine current trends and concepts of machine learning in healthcare services to identify viable approaches to detect anaemia. We compare the most successful machine learning algorithms currently in use regarding machine learning, evaluation metrics, image augmentation, and the origin and size of the dataset used. Results: The result of this study is a clear indication that non-invasive methods such as the use of machine learning algorithms to detect anaemia are affordable, and provides results on time. Conclusions: This systematic review provide scientific evidence, with the results describing how effective machine learning could make anaemia detection feasible. Machine and deep learning algorithms are introduced and used to make a wide-ranging analysis of images, diagnosis, and clinical analysis in the disciplines of medical fields such as anaemia detection

Challenges experienced by patients with hypertension in Ghana: A qualitative inquiry.

BackgroundHypertension (HPT) is an essential public health problem affecting both lower and middle-income countries disproportionately. Evidence suggests that HPT is the leading risk factor for cardiovascular diseases and chronic kidney disease. Yet, challenges faced by patients with HPT in Ghana are not sufficiently explored. This study, documents the challenges patients with HPT face in Ghana.MethodsWe used an explorative descriptive qualitative design. Face-to-face in-depth interviews were conducted with 15 patients with HPT. Interviews were recorded and transcribed verbatim. A thematic content analysis procedure was followed to analyse the data.ResultsFour main themes emerged from interviews; three of which pertained to dimensions of challenges and a fourth which pertained to coping strategies. These include: [1] impairment in physical activities and mobility constraints [2]. Psychological challenges such as suicidal ideations, sadness, fear, anxiety, and reduced sexual affection [3]. Socio-economic challenges identified include loss of friends and social network, difficulty in job demands, and financial burden, and [4] coping strategies such as health system support, social support, and religiosity were identified.ConclusionPatients with HPT experience an array of challenges. We suggest that health care facilities incorporate post HPT diagnosis counseling sessions for HPT patients in the study area. Also, the National Health Insurance Authority (NHIA) should re-examine their scope of services; thus, drugs, laboratory services, and electrocardiogram services to avoid the issue of co-payment. Collaboration between healthcare professionals and family relations of patients with HPT ought to also be strengthened to ensure optimal care

Predictors of Nonadherence to Medications among Hypertensive Patients in Ghana:An Application of the Health Belief Model

Introduction: Hypertension (HPT) is recognized as a significant public health problem worldwide from a health and economic perspective. This study determined predictors of nonadherence to HPT medications in Ghana using the health belief model. Methods: A cross-sectional descriptive survey employing a quantitative approach was conducted among HPT patients who routinely attend clinics at selected hospitals in the Brong Ahafo region of Ghana. Respondents (n = 399) were recruited using a multistage sampling technique. Results: The prevalence of nonadherence was 63.7% (n = 254). Nonadherence to hypertension medication was associated with lower education status (p=0.009). In logistic regression analysis, patients with high "perceived susceptibility" and "perceived severity" were more likely to forfeit their HPT medication schedules, while patients with high "perceived barriers" and "cues to action" were less likely to skip their medication. Conclusion: The present study suggests a plausible path to improving medication adherence in this population. Given the high prevalence of nonadherence, policymakers need to urgently design tailor-made health promotion interventions to ensure optimal health outcomes

Detection of anemia using conjunctiva images: A smartphone application approach

Anemia is one of the public health issues that affect children and pregnant women globally. Anemia occurs when the level of red blood cells within the body is reduced. Detecting anemia requires expert blood draw for clinical analysis of hemoglobin quantity. Although this standard method is accurate, it is costive and consumes enough time, unlike the non-invasive approach which is cost-effective and takes less time.This study focused on pallor analysis and used images of the conjunctiva of the eyes to detect anemia using machine learning techniques. This study used a publicly available dataset of 710 images of the conjunctiva of the eyes acquired with a unique tool that eliminates any interference from ambient light. We combined Convolutional Neural Networks, Logistic Regression, and Gaussian Blur algorithm to develop a conjunctiva detection model and an anemia detection model which runs on a Fast API server connected to a frontend mobile app built with React Native.The developed model was embedded into a smartphone application that can detect anemia by capturing and processing a patient's conjunctiva with a sensitivity of 90%, a specificity of 95%, and an accuracy of 92.50% on average performance in about 50 ​s

Isolation and assessment of Pseudomonas aeruginosa and Bacillus cereus as PCB-degrading bacteria in environmental bioremediation

Classical methods of treatment of polychlorinated biphenyls (PCBs) in environmental matrices such as soil encapsulation, high-temperature heating, thermal desorption, and chemical decontamination, have been costly, and they leave behind problems of environmental footprints. They must therefore give way to bioremediation techniques which are less costly and result in eco-friendly products. The aim of the study was to assess the suitability of PCB degrading bacteria (using published data) from their environmental matrix for use in environmental bioremediation. Initial isolation of the bacteria was obtained by culturing ash samples taken from the combustion chamber of an MP400 Incinerator of infectious waste at Komfo Anokye Teaching hospital (KATH) in Kumasi, Ghana, and composite soil samples taken from a transformer-servicing site at an electricity substation in Sunyani, Ghana. Test for thermotolerance was carried out by the culturing of bacteria from the soil samples and exposing them to higher temperatures (55 °C and 65 °C) to assess their resilience in an incubator for 48 h. Growing cultures were sub-cultured, after which a cocktail of bacteria isolate characterization assays was carried out on the growing isolates. These included biochemical tests on the bacterial suspensions using the analytical profile index (API 20E) for examining Enterobacteriaceae and other non-fastidious bacteria. This was followed by MALDI-ToF-MS analyses of the bacterial strains to profile and image their proteins. A molecular step was needed which was the conventional polymerase chain reaction (PCR) method, using specific primer pairs, to amplify and accentuate sections of the bacterial DNA extracts. Results of the study showed a confirmed sample site in Ghana for harvesting bacteria capable of degrading polychlorinated biphenyls (PCBs). MALDI-ToF-MS analyses revealed the possible species as Pseudomonas aeruginosa and Bacillus cereus. The conventional PCR and gel electrophoresis steps confirmed the presence of bph genes encoding the 2,3-dioxygenase enzymes in bacteria with PCB-degrading ability as documented in published data. The serial dilution of the bacterial suspensions was modified from 10−7 to 10−5 which was enough for distinct colonies to be counted, and it was a novel contribution to environmental microbiology. The confirmation of Pseudomonas and Bacillus species isolated from a transformer oil-impacted soil in this study shows promise in growing these strains in various environmental media such as in a gaseous medium to mineralize gas-phase PCBs from combustion smoke or in bottom ash residues to degrade solid-phase PCBs. It can also be applied in bioremediation of waste liquid systems containing PCBs

SERO-prevalence of herpes simplex virus type 1 and type 2 among women attending routine Cervicare clinics in Ghana

Abstract Background Herpes simplex virus infection is a global health concern with disproportionately high burden in low and middle-income countries. There is a paucity of data on the prevalence of HSV infection in Ghana, which necessitated the present study. The aim of the study was to provide up-to-date data on sero-prevalence of HSV-1 and HSV-2 infection among women attending Cervicare clinics in Ghana. Methods This was a cross-sectional study in which 380 women attending routine Cervicare clinics at Regional Hospitals in Kumasi and Accra, Ghana were enrolled into the study. Serum HSV-1 IgG and HSV-2 IgG were determined by ELISA method. The Chi-square test was used to investigate the association between sero-prevalence of HSV-1 and HSV-2 and socio-demographic and behavioral factors using the Statistical Package for the Social Scientists (SPSS) version 22. Statistical significance was accepted at p < 0.05. Results The overall HSV-1 and HSV-2 sero-prevalence estimates were 99.2% (95% CI: 98.0–100%) and 78.4% (95% CI: 74.5–81.8%) respectively. The study observed 78.2% cross-positive prevalence of HSV-1 and HSV-2 among the studied participants. There was no association between the presence of HSV-1 and HSV-2 infection and age (χ2 = 2.351, p = 0.799 and χ2 = 1.655, p = 0.895 respectively). Our findings however, revealed association between the prevalence of HSV-2 and the age at coitarche (p = 0.021) as well as with number of sexual partners (p = 0.022). Conclusions The sero-prevalence estimates of HSV-1 and HSV-2 among the study population of women in Ghana were found to be high. This high prevalence could be attributed to high endemicity and inadequate intervention in this population. There is the need to raise awareness through organized public health screening and education to ensure control

Additional file 1: of SERO-prevalence of herpes simplex virus type 1 and type 2 among women attending routine Cervicare clinics in Ghana

Questionnaire. (DOCX 19 kb