scholarly journals Need for Diabetic Screening an a Periodontal Setup

2020 ◽  
Vol 3 (10) ◽  
pp. 335-337
Author(s):  
Sneha Agarwal ◽  
K. Rekha Rani ◽  
D. Satyanarayana Naidu
Keyword(s):  
Chronic Disease ◽  
Early Detection ◽  
Cross Sectional Study ◽  
Research Data ◽  
Diabetes Research ◽  
Sectional Study ◽  
Initial Sample ◽  
Cross Sectional ◽  
Significant Difference ◽  
Diabetic Screening

INTRODUCTION: Periodontitis has been proved to be linked deeply with the chronic ailment diabetes. Research data shows that their relationship is direct and bifacial. The prevalence of both these diseases is on the rise but still there is a scarcity of diabetic screening in periodontal set-ups.AIM: To lay emphasis on the need of diabetic screening in a periodontal set-upMATERIAL AND METHODS: An observational, cross-sectional study with an initial sample size of 200 patients was conducted. Periodontitis was evaluated with the CPI index and RBS was measured using a blood glucometer.RESULTS: Significant difference in the periodontitis patients who were aware and unaware of their diabetic status.CONCLUSION: Screening for diabetes in a periodontal clinic is conducive to the creation of awareness and early detection and treatment of such a chronic disease and can help avoid the setting in of related complications by giving the patient a chance to initiate an early intervention.

scholarly journals The Effectiveness of Community Outreach in Increasing the Coverage of Community Based Management of Acute Malnutrition (CMAM) Program, in Rural Kassala Locality

2018 ◽  
pp. 124-130
Author(s):  
Somiya Gutbi Salim Mohammed ◽  
Zemzem Yebio Adam Mosmar
Keyword(s):  
Early Detection ◽  
Community Outreach ◽  
Cross Sectional Study ◽  
Acute Malnutrition ◽  
Sectional Study ◽  
Community Based ◽  
Cross Sectional ◽  
Outreach Workers ◽  
Significant Difference ◽  
Feeding Program

Community based Management of Acute Malnutrition (CMAM) is an innovative approach for managing acute malnutrition within the community. This study is a community based cross sectional study among communities covered by CMAM program in Rural Kassala locality, Kassala state, Sudan. The main objective was to evaluate the effectiveness of community outreach workers / volunteers in improving and increasing the coverage of the CMAM program. ENA SMART software was used to calculate the sample size of children under five, a total of (309) was subjected for MUAC and bilateral edema measurements to assess their nutritional status, and their households (200) were interviewed to obtain relevant data. All the community outreach workers / volunteers (62) were targeted by the study. The study revealed that, the prevalence of acute malnutrition (wasting) was 17.1%, and no significant difference in the prevalence of acute malnutrition between boys and girls (p=0.477). A point coverage calculation was used to estimate services coverage, the coverage of the program estimated by 64.2%. Also the result showed that 67.7% of the cases attending the feeding program were referred by the community outreach workers / volunteers. The study concluded that the community outreach workers / volunteers doing an effective job, but needs more to strengthen their roles of identification and early detection cases.

scholarly journals Prevalence and Associated Factors of Malnutrition and Sarcopenia in a Daycare Facility: A Cross-Sectional Study

Healthcare ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 576
Author(s):  
Aya Shiota ◽  
Naomi Nakayama ◽  
Yuki Saito ◽  
Tamako Maeda ◽  
Yukie Maeda ◽  
...  
Keyword(s):  
Physical Activity ◽  
Early Detection ◽  
Care Service ◽  
Cross Sectional Study ◽  
Daily Physical Activity ◽  
Older Individuals ◽  
Sectional Study ◽  
Cross Sectional ◽  
Term Care ◽  
Significant Difference

Malnutrition and sarcopenia are prevalent and growing health issues in older populations. Early detection is important to implement proper interventions. However, little is known about malnutrition and sarcopenia in daycare facilities, the most dominant long-term care service. In this study, the prevalence of and factors associated with malnutrition and sarcopenia in older individuals who commute to community daycare facilities were evaluated. The cross-sectional study included 62 older individuals screened for malnutrition and sarcopenia on their first day in a daycare facility in Japan. Daily physical activity and basal diseases were also evaluated. According to Global Leadership Initiative on Malnutrition (GLIM) criteria, 40.3% (25/62) of patients were malnourished and 59.7% (37/62) were well nourished. The Asian Working Group for Sarcopenia 2019 evaluation found that 12.9% (8/62) of patients showed no sarcopenia, whereas 87.1% (54/62) had sarcopenia. The prevalence of well-nourished sarcopenic individuals was the highest (45.2% (28/62)), followed by malnourished sarcopenia individuals (40.3% (25/62)). All malnourished individuals were sarcopenic and 14.5% (9/62) were well nourished and nonsarcopenic. Daily physical activity was significantly lower among sarcopenic individuals. Subgroups showed no significant difference in comorbidities. The prevalence of malnutrition and sarcopenia was relatively high. Activity-related sarcopenia seemed to precede malnutrition. Early detection of malnutrition and sarcopenia in daycare facilities should be encouraged for early intervention.

scholarly journals First Prospective Cross-Sectional Study on the Impact of Immigration Background and Education in Early Detection of Breast Cancer

Breast Care ◽  
2020 ◽  
pp. 1-7
Author(s):  
Elna Kuehnle ◽  
Wulf Siggelkow ◽  
Kristina Luebbe ◽  
Iris Schrader ◽  
Karl-Heinz Noeding ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Early Detection ◽  
First Generation ◽  
Participation Rate ◽  
Educational Status ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
First Generation Immigrants ◽  
Cancer Early Detection

<b><i>Background:</i></b> Although immigrant health is an important issue in national health policy, there is a serious shortage of data in many countries. Most studies lack information on educational status, which is a major limitation. This prospective cross-sectional study analyzed a real-world breast cancer population on the influence of immigration background and educational status on participation in breast cancer early detection programs in the federal state of Lower Saxony, Germany. <b><i>Methods:</i></b> Data collection was conducted from 2012 to 2016 in six certified breast cancer centers using a standardized questionnaire for patients’ interview and tumor-specific data from the patients’ medical records. <b><i>Results:</i></b> 2,145/3,047 primary breast cancer cases were analyzed. 17.5% of our patients had a history of immigration, including <i>n</i> = 202 first-generation immigrants and <i>n</i> = 168 second-generation immigrants. Most of them were citizens of EU27 member states. No significant difference was seen in age, tumor stage, histology, grading, Ki-67, Her2/neu-status, and hormone receptor status compared to the native cohort. 100% participation rate in the breast cancer early detection programs were seen in patients with no school graduation. With regards to the national mammography screening program, participation decreased significantly with educational status (<i>p</i> = 0.0003). <b><i>Conclusions:</i></b> No tumor biological differences were seen between immigrants and German natives. In first-generation immigrants, early detection programs were well accepted despite sociocultural and language differences. Participation rate decreased significantly with higher education levels irrespective of country of origin. Immigration background does not have a negative effect on the participation in breast cancer screening. This mainly relates to immigrants from EU27 member states.

scholarly journals Fatigue among children with a chronic disease: a cross-sectional study

2021 ◽  
Vol 5 (1) ◽  
pp. e000958
Author(s):  
Merel M Nap-van der Vlist ◽  
Geertje W Dalmeijer ◽  
Martha A Grootenhuis ◽  
Kors van der Ent ◽  
Marry M van den Heuvel-Eibrink ◽  
...  
Keyword(s):  
Chronic Disease ◽  
Social Factors ◽  
Participation Rate ◽  
Cross Sectional Study ◽  
Assessment Tools ◽  
Sectional Study ◽  
Cross Sectional ◽  
Multivariable Regression Model ◽  
Multivariable Regression ◽  
Multidimensional Fatigue Scale

ObjectiveTo determine: (1) which biological/lifestyle, psychological and/or social factors are associated with fatigue among children with a chronic disease and (2) how much each of these factors contributes to explaining variance in fatigue.Design and settingThis was a cross-sectional study across two children’s hospitals.PatientsWe included children aged 8–18 years who visited the outpatient clinic with cystic fibrosis, an autoimmune disease or postcancer treatment.Main outcome measuresFatigue was assessed using the PedsQL Multidimensional Fatigue Scale. Generic biological/lifestyle, psychological and social factors were assessed using clinical assessment tools and questionnaires. Multiple linear regression analyses were used to test the associations between these factors and fatigue. Finally, a multivariable regression model was used to determine which factor(s) have the strongest effect on fatigue.ResultsA total of 434 out of 902 children were included (48% participation rate), with a median age of 14.5 years; 42% were male. Among these 434 children, 21.8% were severely fatigued. Together, all biopsychosocial factors explained 74.6% of the variance in fatigue. More fatigue was uniquely associated with poorer physical functioning, more depressive symptoms, more pressure at school, poorer social functioning and older age.ConclusionsFatigue among children with a chronic disease is multidimensional. Multiple generic biological/lifestyle, psychological and social factors were strongly associated with fatigue, explaining 58.4%; 65.8% and 50.0% of the variance in fatigue, respectively. Altogether, almost three-quarters of the variance in fatigue was explained by this biopsychosocial model. Thus, when assessing and treating fatigue, a transdiagnostic approach is preferred, taking into account biological, psychological and social factors.

scholarly journals Comparison of predicted psychological distress among workers between artificial intelligence and psychiatrists: a cross-sectional study in Tsukuba Science City, Japan

BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e046265
Author(s):  
Shotaro Doki ◽  
Shinichiro Sasahara ◽  
Daisuke Hori ◽  
Yuichi Oi ◽  
Tsukasa Takahashi ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Psychological Distress ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Explanatory Variables ◽  
The Neural Network ◽  
Significant Difference ◽  
Total Data

ObjectivesPsychological distress is a worldwide problem and a serious problem that needs to be addressed in the field of occupational health. This study aimed to use artificial intelligence (AI) to predict psychological distress among workers using sociodemographic, lifestyle and sleep factors, not subjective information such as mood and emotion, and to examine the performance of the AI models through a comparison with psychiatrists.DesignCross-sectional study.SettingWe conducted a survey on psychological distress and living conditions among workers. An AI model for predicting psychological distress was created and then the results were compared in terms of accuracy with predictions made by psychiatrists.ParticipantsAn AI model of the neural network and six psychiatrists.Primary outcomeThe accuracies of the AI model and psychiatrists for predicting psychological distress.MethodsIn total, data from 7251 workers were analysed to predict moderate and severe psychological distress. An AI model of the neural network was created and accuracy, sensitivity and specificity were calculated. Six psychiatrists used the same data as the AI model to predict psychological distress and conduct a comparison with the AI model.ResultsThe accuracies of the AI model and psychiatrists for predicting moderate psychological distress were 65.2% and 64.4%, respectively, showing no significant difference. The accuracies of the AI model and psychiatrists for predicting severe psychological distress were 89.9% and 85.5%, respectively, indicating that the AI model had significantly higher accuracy.ConclusionsA machine learning model was successfully developed to screen workers with depressed mood. The explanatory variables used for the predictions did not directly ask about mood. Therefore, this newly developed model appears to be able to predict psychological distress among workers easily, regardless of their subjective views.

scholarly journals Prevalence of dysmenorrhoea, associated risk factors and its relationship with academic performance among graduating female university students in Ethiopia: a cross-sectional study

BMJ Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. e043814
Author(s):  
Mesfin Tadese ◽  
Andargachew Kassa ◽  
Abebaw Abeje Muluneh ◽  
Girma Altaye
Keyword(s):  
Risk Factors ◽  
Academic Performance ◽  
University Students ◽  
Cross Sectional Study ◽  
Secondary Outcome ◽  
Sectional Study ◽  
Cross Sectional ◽  
Grade Point ◽  
Significant Difference ◽  
Associated Risk Factors

ObjectivesThe study aimed to provide an association between dysmenorrhoea and academic performance among university students in Ethiopia. Further, the study attempts to determine the prevalence and associated risk factors of dysmenorrhoea.Design and methodInstitution-based cross-sectional study was conducted from 1 April to 28 April 2019. A semistructured and pretested self-administered questionnaire was used to collect data. Binary logistic regression analysis and one-way analysis of variance were performed to model dysmenorrhoea and academic performance, respectively.Setting and participantsEthiopia (2019: n=647 female university students).OutcomesThe primary outcome is dysmenorrhoea, which has been defined as painful menses that prevents normal activity and requires medication. The self-reported cumulative grade point average of students was used as a proxy measure of academic performance, which is the secondary outcome.ResultsThe prevalence of dysmenorrhoea was 317 (51.5%). The educational status of father (adjusted OR (AOR) (95% CI) 2.64 (1.04 to 6.66)), chocolate consumption (AOR (95% CI) 3.39 (95% 1.28 to 8.93)), daily breakfast intake (<5 days/week) (AOR (95% CI) 0.63 (0.42 to 0.95)), irregular menstrual cycle AOR (95% CI) 2.34 (1.55 to 3.54)) and positive family history of dysmenorrhoea AOR (95% CI) 3.29 (2.25 to 4.81)) had statistically significant association with dysmenorrhoea. There was no statistically significant difference in academic performance among students with and without dysmenorrhoea (F (3611)=1.276, p=0.28)).ConclusionsDysmenorrhoea was a common health problem among graduating University students. However, it has no statistically significant impact on academic performance. Reproductive health officers should educate and undermine the negative academic consequences of dysmenorrhoea to reduce the physical and psychological stress that happens to females and their families.

scholarly journals Evaluation of e-health (Seha) application: a cross-sectional study in Saudi Arabia

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Abeer Alharbi ◽  
Joharah Alzuwaed ◽  
Hind Qasem
Keyword(s):  
Saudi Arabia ◽  
Health Services ◽  
Healthcare Services ◽  
Cross Sectional Study ◽  
Advanced Technology ◽  
Sectional Study ◽  
Cross Sectional ◽  
Technical Problems ◽  
Significant Difference ◽  
Ease Of Access

Abstract Background The Ministry of Health in Saudi Arabia is expanding the country’s telemedicine services by using advanced technology in health services. In doing so, an e-health application (app), Seha, was introduced in 2018 that allows individuals to have face-to-face visual medical consultations with their doctors on their smartphones. Objective This study evaluated the effectiveness of the app in improving healthcare delivery by ensuring patient satisfaction with the care given, increasing access to care, and improving efficiency in the healthcare system. Methods A cross-sectional study design was used to assess the perceptions of users of the Seha app and non-users who continued with traditional health services. The data were collected using an online survey via Google Forms between June 2020 and September 2020. Independent t tests and chi-square (χ2) tests were conducted to answer the research questions. Results There was a significant difference between users and non-users in terms of ease of access to health services (t =  − 9.38, p < 0.05), with app users having a higher mean score (4.19 ± 0.91) than non-users (3.41 ± 1.00); satisfaction with health services (t =  − 6.33, p < 0.05), with users having a higher mean score (3.96 ± 0.91) than non-users (3.45 ± 0.94); and efficiency (only one visit needed for treatment) (t =  − 3.20, p < 0.05), with users having a higher mean score (3.71 ± 0.93) than non-users (3.45 ± 0.93). There were significant associations between the use of the Seha app and age (χ2 = 8.79, p < 0.05), gender (χ2 = 22.19, p < 0.05), region (χ2 = 19.74, p < 0.05), and occupation (χ2 = 22.05, p < 0.05). There were significant relationships between the three items (on access, satisfaction, and efficiency) and experiencing technical issues (t = 4.47, t = 8.11, and t = 3.24, respectively, p < 0.05), with users who faced technical problems having significantly lower mean scores for all three items. Conclusion This study provided evidence that the Seha app improved the delivery of healthcare in Saudi Arabia. Users of the app had a better health experience in terms of their perceived ease of access to healthcare services; their satisfaction with healthcare services; and the efficiency of the system, measured by the number of required doctor visits. Other factors that appeared to influence the use of the app included age, gender, usual source of care, and technical difficulties.

scholarly journals Prostate cancer awareness and attitude toward early detection among male soldiers in Ghana: a cross-sectional study

2019 ◽  
Vol 25 (1) ◽  
Author(s):  
Juliana Gyasi Necku ◽  
Emmanuel Anongeba Anaba ◽  
Aaron Asibi Abuosi
Keyword(s):  
Prostate Cancer ◽  
Early Detection ◽  
Cross Sectional Study ◽  
Health Interventions ◽  
Effective Management ◽  
Sectional Study ◽  
Cancer Awareness ◽  
Cross Sectional ◽  
Knowledge And Attitudes ◽  
Positive Attitudes

Abstract Background Prostate cancer (PC) is the leading cause of cancer deaths among men in Ghana. This poses a public health threat, especially among the Ghana Armed Force (GAF) where the majority are males. This study aimed to assess male soldiers’ awareness, knowledge and attitudes toward early detection of prostate cancer. Results It was found that 58.3% of the soldiers were less aware of PC and 76.0% had low or neutral knowledge regarding risk factors and symptoms of PC. The soldiers had positive attitudes toward early detection but had low intentions of getting tested. Awareness was significantly associated with education, rank, haven received PC information from a health worker and being knowledgeable of signs of PC. Conclusion We recommend that management of the GAF should liaise with the Ministry of Health to sensitize and educate soldiers on prostate cancer, and if possible, organize periodic screening activities for the soldiers to aid in early detection and effective management of the disease. The findings of this study provide valuable information for health interventions in Ghana.

P20 Parental understanding of concussion in youth rugby is significantly improved by viewing the RFU concussion education video

2019 ◽  
Vol 90 (3) ◽  
pp. e31.1-e31
Author(s):  
T Samuel ◽  
K Aquilina ◽  
W Dawes
Keyword(s):  
Parental Education ◽  
Cross Sectional Study ◽  
Educational Video ◽  
Sectional Study ◽  
Online Questionnaire ◽  
Cross Sectional ◽  
Parental Experience ◽  
Increased Risk ◽  
Significant Difference ◽  
Composite Scores

ObjectivesTo investigate the current understanding parents have of concussion in their rugby-playing children aged 9–17.DesignCross-sectional studySubjects86 parents from four clubs completed an online questionnaireMethodsAreas covered (1) Parental experience of concussion (2) Rate of viewing of the RFU concussion educational video (RFUCEV), (3) Identification of symptoms of concussion (4) Understanding of the risk of concussion. Each participant was given a composite score, out of 19, based on their performance in symptom identification and true/false questions. Independent-sample two-tailed t-tests were conducted to analyse scores, primarily controlling for viewing of the RFUCEVResultsThere was a significant difference in the scores between the group that had viewed the RFUCEV (n=32, M=14.75, SD=2.55) and those who had not (n=54, M=13.05, SD=2.87); t(84)=2.75, p=0.00721. Additionally, over 25% of parents reported that their child had suffered a concussion, and this was also found to significantly improve the awareness score (p=0.04678)ConclusionsStatistically significant improvement in composite scores after viewing the RFUCEV makes it reasonable to require compulsory parental education prior to signing up a child to play rugby. This would build on the protocol changes made by the RFU in 2014 and further progress the safety of the sport. We suggest the video be improved to emphasise the areas highlighted as inadequately understood, including the increased risk of concussion in under-18s compared to adults.

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