4 results on '"Ohenhen, Oluwatoyin A."'
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2. Assessment of diabetes self-management amongst Nigerians using the diabetes self-management questionnaire: a cross-sectional study.
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Okoye, Ogochukwu Chinedum and Ohenhen, Oluwatoyin Abisoye
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GLYCEMIC control , *DIABETES , *HEALTH facilities , *CROSS-sectional method , *GLYCOSYLATED hemoglobin - Abstract
Introduction: self-management is probably the most important factor contributing to achieving euglycaemia. The Diabetes Self-Management Questionnaire (DSMQ) is an instrument that shows favourable prospects compared to older measures. This study aimed to investigate the association between self-management and glycaemic control using the DSMQ, and determine factors that affect glycaemic control in patients living with diabetes mellitus. Methods: a cross-sectional analytic study of 103 patients, carried out in a public tertiary health institution located in a Southern Nigerian City. An interviewer administered DSMQ was used to assess self-management among the patients. Data analysis was performed using SPSS 22.0.0, and AMOS 22.0.0 (IBM SPSS Statistics, New York, USA). Results: females had significantly lower DSMQ scores compared to males (40 vs. 36, P=0.015) while median DSMQ score was highest in participants with tertiary level of education (P=0.017), and those who earned the highest annual income (P=0.007). The DSMQ's behaviour scales showed a notable negative correlation with HbA1c (-0.565, P < 0.001). More females (80.3%) than males (56.3%) had high HbA1C (Χ²=6.44, P=0.016). Conclusion: diabetes self-management using DSMQ showed significant correlation with glycaemic control. Male sex, higher income, and higher level of education are associated with better self-management and glycaemic control. [ABSTRACT FROM AUTHOR]
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- 2021
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3. Overview of the current status of familial hypercholesterolaemia care in over 60 countries - The EAS Familial Hypercholesterolaemia Studies Collaboration (FHSC)
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Vallejo-Vaz, Antonio J., Marco, Martina De, Stevens, Christophe A. T., Akram, Asif, Freiberger, Tomas, Hovingh, G. Kees, Kastelein, John J. P., Mata, Pedro, Raal, Frederick J., Santos, Raul D., Soran, Handrean, Watts, Gerald F., Abifadel, Marianne, Aguilar-Salinas, Carlos A., Al-Khnifsawi, Mutaz, Alkindi, Fahad A., Alnouri, Fahad, Alonso, Rodrigo, Al-Rasadi, Khalid, Al-Sarraf, Ahmad, Ashavaid, Tester F., Binder, Christoph J., Bogsrud, Martin P., Bourbon, Mafalda, Bruckert, Eric, Chlebus, Krzysztof, Corral, Pablo, Descamps, Olivier, Durst, Ronen, Ezhov, Marat, Fras, Zlatko, Genest, Jacques, Groselj, Urh, Harada-Shiba, Mariko, Kayikcioglu, Meral, Lalic, Katarina, Lam, Carolyn S. P., Latkovskis, Gustavs, Laufs, Ulrich, Liberopoulos, Evangelos, Lin, Jie, Maher, Vincent, Majano, Nelson, Marais, A. David, März, Winfried, Mirrakhimov, Erkin, Miserez, André R., Mitchenko, Olena, Nawawi, Hapizah M., Nordestgaard, B. rge G., Paragh, György, Petrulioniene, Zaneta, Pojskic, Belma, Postadzhiyan, Arman, Reda, Ashraf, Reiner, Željko, Sadoh, Wilson E., Sahebkar, Amirhossein, Shehab, Abdullah, Shek, Aleksander B., Stoll, Mario, Su, Ta-Chen, Subramaniam, Tavintharan, Susekov, Andrey V., Symeonides, Phivos, Tilney, Myra, Tomlinson, Brian, Truong, Thanh-Huong, Tselepis, Alexandros D., Tybjærg-Hansen, Anne, Vázquez-Cárdenas, Alejandra, Viigimaa, Margus, Vohnout, Branislav, Widén, Elisabeth, Yamashita, Shizuya, Banach, Maciej, Gaita, Dan, Jiang, Lixin, Nilsson, Lennart, Santos, Lourdes E., Schunkert, Heribert, Tokgözoğlu, Lale, Car, Josip, Catapano, Alberico L., Ray, Kausik K., Schreier, Laura, Pang, Jing, Dieplinger, Hans, Hanauer-Mader, Gabriele, Desutter, Johan, Langlois, Michel, Mertens, Ann, Rietzschel, Ernst, Wallemacq, Caroline, Isakovic, Dzenana, Dzankovic, Amra M., Obralija, Jasna, Pojskic, Lamija, Sisic, Ibrahim, Stimjanin, Ena, Torlak, Vildana A., Jannes, Cinthia E., Krieger, Jose E., Pereira, Alexandre C., Ruel, Isabelle, Asenjo, Sylvia, Cuevas, Ada, Pećin, Ivan, Miltiadous, George, Panayiotou, Andrie G., Vrablik, Michal, Benn, Marianne, Heinsar, Silver, Béliard, S., Gouni-Berthold, Ioanna, Hengstenberg, Wibke, Julius, Ulrich, Kassner, Ursula, Klose, Gerald, König, Christel, König, Wolfgang, Otte, Britta, Parhofer, Klaus, Schatz, Ulrike, Schmidt, Nina, Steinhagen-Thiessen, Elisabeth, Vogt, Anja, Antza, Christina, Athyros, Vasilios, Bilianou, Eleni, Boufidou, Amalia, Chrousos, George, Elisaf, Moses, Garoufi, Anastasia, Katsiki, Niki, Kolovou, Genovefa, Kotsis, Vasilios, Rallidis, Loukianos, Rizos, Christos, Skalidis, Emmanouel, Skoumas, Ioannis, Tziomalos, Kostantinos, Shawney, J. P. S., Abbaszadegan, Mohammad R., Aminzadeh, Majid, Hosseini, Sousan, Mobini, Moein, Vakili, Rahim, Zaeri, Hossein, Agar, Ruth, Boran, Gerard, Colwell, Nial, Crowley, Vivion, Durkin, Maeve, Griffin, Damian, Kelly, Michael, Rakovac-Tisdall, Ana, Bitzur, Rafael, Cohen, Hofit, Eliav, Osnat, Ellis, Avishay, Gavish, Dov, Harats, Dror, Henkin, Yaacov, Knobler, Hila, Leavit, Leah, Leitersdorf, Eran, Rubinstein, Ardon, Schurr, Daniel, Shpitzen, Shoshi, Szalat, Auryan, Arca, Marcello, Averna, Maurizio, Bertolini, Stefano, Calandra, Sebastiano, Tarugi, Patrizia, Erglis, Andrejs, Gilis, Dainus, Nesterovics, Georgijs, Saripo, Vita, Upena-Roze, Arta, Elbitar, Sandy, Jambart, S. lim, Khoury, Petra El, Gargalskaite, Urte, Kutkiene, Sandra, Al-Khateeb, Alyaa, An, Chua Y., Ismail, Zaliha, Kasim, Sazzli, Ibrahim, Khairul S., Radzi, Ahmad B. M., Kasim, Noor A., Nor, Noor S. M., Ramli, Anis S., Razak, Suraya A., Muid, Suhaila, Rosman, Azhari, Sanusi, Abd R., Razman, Aimi Z., Nazli, Sukma A., Kek, Teh L., Azzopardi, Conrad, Aguilar Salinas, Carlos A., Vázquez-Cárdenas, N. Alejandra, Galán, Gabriela, Magaña-Torres, M. T., Martagon, Alexandro, Mehta, Roopa, Wittekoek, M. E., Isara, Alphonsus R., Obaseki, Darlington E., Ohenhen, Oluwatoyin A., Holven, Kirsten B., Gruchała, Marcin, Baranowska, Marlena, Borowiec-Wolny, Justyna, Gilis-Malinowska, Natasza, Michalska-Grzonkowska, Aleksandra, Pajkowski, Marcin, Parczewska, Aleksandra, Romanowska-Kocejko, Marzena, Stróżyk, Aneta, Żarczyńska-Buchowiecka, Marta, Kleinschmidt, Mariola, Alves, Ana C., Medeiros, Ana M., Ershova, Alexandra, Korneva, Victoria, Kuznetsova, Tatiana, Malyshev, Pavel, Meshkov, Alexey, Rozhkova, Tatiana, Rajkovic, Natasa, Popovic, Ljiljana, Lukac, Sandra S., Stosic, Ljubica, Rasulic, Iva, Lalic, Nebojsa M., Chua, Terrance S. J., Ting, Sharon P. L., Raslova, Katarina, Battelino, Tadej, Cevc, Matija, Jug, Borut, Kovac, Jernej, Podkrajsek, Katarina T., Sustar, Ursa, Trontelj, Katja J., Marais, David, Isla, Leopoldo Perez de, Martin, François J., Charng, Ming-Ji, Chen, Pei-Lung, Kayikçioglu, Meral, Dell’oca, Nicolás, Fernández, Graciela, Ressia, Andrés, Reyes, Ximena, Zelarayan, Mario, Alieva, Rano B., Hoshimov, Shavkat U., Kurbanov, Ravshanbek D., Nizamov, Ulugbek I., Lima-Martínez, Marcos M., Nguyen, Mai-Ngoc Thi, Do, Doan-Loi, Kim, Ngoc-Thanh, le, Hong-An, le, Thanh-Tung, Centre of Excellence in Complex Disease Genetics, Elisabeth Ingrid Maria Widen / Principal Investigator, Institute for Molecular Medicine Finland, University of Helsinki, Genomic Discoveries and Clinical Translation, Kardiyoloji, Lee Kong Chian School of Medicine (LKCMedicine), Pfizer Incorporated, European Atherosclerosis Society, ACS - Atherosclerosis & ischemic syndromes, Vascular Medicine, ACS - Pulmonary hypertension & thrombosis, and Ege Üniversitesi
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International Cooperation ,MÉTODOS EPIDEMIOLÓGICOS ,030204 cardiovascular system & hematology ,Nationwide survey ,Global Health ,Health Services Accessibility ,Doenças Cardio e Cérebro-vasculares ,MOLECULAR-GENETICS ,0302 clinical medicine ,Risk Factors ,Prevalence ,CARDIOVASCULAR RISK-FACTORS ,030212 general & internal medicine ,Cooperative Behavior ,DEFECTIVE APOLIPOPROTEIN B-100 ,GENERAL-POPULATION ,education.field_of_study ,medicine.diagnostic_test ,Anticholesteremic Agents ,Familial hypercholesterolaemia ,FHSC ,Primary dyslipidaemia ,Biomarkers ,Cholesterol, LDL ,Genetic Predisposition to Disease ,Health Care Surveys ,Healthcare Disparities ,Humans ,Hyperlipoproteinemia Type II ,Phenotype ,Predictive Value of Tests ,Treatment Outcome ,Blood Component Removal ,EAS Familial Hypercholesterolaemia Studies Collaboration ,3. Good health ,PREVALENCE ,Cholesterol ,CORONARY-ARTERY-DISEASE ,NATIONWIDE SURVEY ,Cardiology and Cardiovascular Medicine ,medicine.medical_specialty ,Cardiovascular risk factors ,Population ,LDL-RECEPTOR ,1102 Cardiovascular Medicine And Haematology ,LDL ,03 medical and health sciences ,medicine ,Medicine [Science] ,fhsc ,familial hypercholesterolaemia ,primary dyslipidaemia ,education ,Genetic testing ,Government ,Public health ,EAS Familial Hypercholesterolaemia Studies Collaboration (FHSC) Investigators ,SAFEHEART REGISTRY ,1103 Clinical Sciences ,Cardiovascular System & Hematology ,Family medicine ,3121 General medicine, internal medicine and other clinical medicine ,Cardiovascular System & Cardiology ,Business ,FOLLOW-UP - Abstract
PubMed: 30270054, 2-s2.0-85053666909, Background and aims: Management of familial hypercholesterolaemia (FH) may vary across different settings due to factors related to population characteristics, practice, resources and/or policies. We conducted a survey among the worldwide network of EAS FHSC Lead Investigators to provide an overview of FH status in different countries. Methods: Lead Investigators from countries formally involved in the EAS FHSC by mid-May 2018 were invited to provide a brief report on FH status in their countries, including available information, programmes, initiatives, and management. Results: 63 countries provided reports. Data on FH prevalence are lacking in most countries. Where available, data tend to align with recent estimates, suggesting a higher frequency than that traditionally considered. Low rates of FH detection are reported across all regions. National registries and education programmes to improve FH awareness/knowledge are a recognised priority, but funding is often lacking. In most countries, diagnosis primarily relies on the Dutch Lipid Clinics Network criteria. Although available in many countries, genetic testing is not widely implemented (frequent cost issues). There are only a few national official government programmes for FH. Under-treatment is an issue. FH therapy is not universally reimbursed. PCSK9-inhibitors are available in ?2/3 countries. Lipoprotein-apheresis is offered in ?60% countries, although access is limited. Conclusions: FH is a recognised public health concern. Management varies widely across countries, with overall suboptimal identification and under-treatment. Efforts and initiatives to improve FH knowledge and management are underway, including development of national registries, but support, particularly from health authorities, and better funding are greatly needed. © 2018 Elsevier B.V., Universidade de São Paulo, USP European Atherosclerosis Society, EAS Amgen Merck Sharp and Dohme, MSD, The ELSA Study suggests heterozygous FH (HeFH) may affect 1:263 Brazilians (?766,000 individuals). Currently, the only active genetic cascade screening program in Brazil is Hipercol Brasil in Sao Paulo (genetic testing for adults with low-density lipoprotein cholesterol (LDL-C) ?230?mg/dL, to maximise cost-effectiveness), with 1719 heterozygotes, 25 homozygotes, 13 compound-heterozygotes and one double-heterozygote identified by March 2018. To date, 4340 individuals from 440 families were screened. Genetic testing is funded by a government tax reduction programme (PROADI-SUS), and cascade screening by partnering between Samaritano Hospital and Heart Institute (InCor) University of Sao Paulo. Most FH patients are under non-specialist care and currently under-treated., Prevalence is unknown but assumed at 1:250. There is no state programme and few patients were diagnosed before the Latvian FH Registry was established in 2015. To date, the Registry has identified 181 cases (2.3% of 7876 estimated HeFH cases; no HoFH). Cascade screening is performed in first-degree relatives of index cases with probable/definite FH. Genetic testing is not reimbursed but has been funded by research grants for a few patients/relatives. About 5% of patients had LDL-C at target before inclusion in the Registry [ 61 ]. Statins are reimbursed 50% in primary prevention; statins and ezetimibe, 75–100% in secondary prevention; PCSK9i are available, but not reimbursed., Estimated prevalence is 1:250 (based on a meta-analysis of 6 observational studies) or 136,300 adults (only 2% diagnosed) [ 69 , 70 ]. Based on LIPIDOGRAM studies (2004–2015, ?50,000 participants), prevalence might be?1:200 [ 71 , 72 ]. Five HoFH cases are described [ 73 , 74 ]. Patients with DLCN ?3 are referred for genetic testing, funded by the National Health Program. The National Centre for FH at University Clinical Hospital, Medical University of Gdansk, was established in 2017, financed by the Ministry of Health. From August 2017, 345 patients underwent genetic testing (153 positive, including 46 relatives; 1 HoFH). Since 1999, 1884 patients (562 families) have undergone genetic testing and cascade diagnosis (data from the National Polish FH Registry, Medical University of Gdansk, established in 2000). PCSK9i are not reimbursed (under discussion with the Ministry of Health)., The EAS FHSC project has received support from a Pfizer Independent Grant for Learning & Change 2014 (No: 16157823 ) and from investigator-initiated unrestricted research grants to the European Atherosclerosis Society from Amgen , MSD , and Sanofi-Aventis .
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- 2018
4. Prevalence and Presentation of Diabetes-Related Hypoglycemia Amongst Persons with Diabetes in a Tertiary Health Instition in Nigeria
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Uwameiye Oseribhor and Ohenhen Oluwatoyin Abisoye
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Pediatrics ,medicine.medical_specialty ,endocrine system diseases ,business.industry ,nutritional and metabolic diseases ,Hypoglycemia ,medicine.disease ,Diabetes Therapy ,Quality of life ,Diabetes mellitus ,medicine ,Observational study ,business ,Adverse effect ,Psychosocial ,Patient education - Abstract
Background: Hypoglycaemia is the most common acute complication of Diabetes Mellitus and often treatment-limiting, serious adverse effect of intensive diabetes therapy. Although it is preventable, hypoglycaemic episodes, especially if severe or recurrent may result in significant psychosocial dysfunction and lower quality of life. Aim: To determine the prevalence, frequency and timing of diabetes-related hypoglycaemia amongst persons with diabetes mellitus. Methods: This was a cross-sectional observational study involving patients attending the diabetes clinic and selected using systematic random sampling. An interviewer- administered questionnaire was used to obtain socio-demographic characteristics as well as experience of hypoglycaemia in the past 12months and severity graded. Data analysis was performed using SPSS 21.0, IBM SPSS Statistics, New York, USA Result: A total of 216 patients were recruited for the study. Eighty nine patients (41.2%) reported experiencing hypoglycaemia, out of which 46 (51.7%) occurred in the morning before breakfast and 16 (18.0%) experienced severe Hypoglycaemia. Skipped meal (58.4%) and overdose of GLA (31.5%) were the most common recognized causes of hypoglycaemia. Level 1 hypoglycaemia was the commonest grade of hypoglycaemia, while males and those on insulin alone had higher odds of having hypoglycaemia (P=0.059). Conclusion: The reported prevalence of hypoglycaemia amongst persons with diabetes mellitus within the last one year prior to the study was rather high which shows that hypoglycaemia is a common experience amongst type 2 diabetic undergoing management. Continuous patient education on the risks, causes, symptoms, and treatment of hypoglycaemia as well as self-monitoring of blood glucose is recommended for every person with diabetes at every health visits.
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- 2020
- Full Text
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