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1.
Acta Biomed ; 88(3): 281-288, 2017 10 23.
Artigo em Inglês | MEDLINE | ID: mdl-29083332

RESUMO

BACKGROUND: Diabetes mellitus, including type 1 is a global public health problem among the young persons. While public health campaign and screening program is a potential strategy, but communication skills, knowledge and opinion of the healthcare personnel are indicated as variables that can impact patient's education, which will lead to better outcome of care. Thus, in designing or planning a program for public health, workforce development considers opinion and behavioural change wheel of prospective personnel. OBJECTIVE: The purpose of this preliminary study was to evaluate if a university academic department has the behavioural change wheel to function as workforce infrastructure for an envisioned program. METHOD: Survey of knowledge, attitude and practice (KAP) of a university community regarding diabetes type 1 was performed. The KAP were translated into behavioural change wheel comprising capacity, motivation and opportunity (CMO). RESULTS: There are baseline indications of the behavioural change wheel potential of the public health department to run a T1D screening program. The number of participants who knew someone with T1D was significantly higher than the subgroup with no such knowledge (p<0.0004) and this improved when age factor is considered (p<0.00005). CONCLUSION: While the public health department of a university community has the behavioural change wheel or CMO to develop a workforce infrastructure for T1D screening program, the experience that comes with age of lecturers will be an important factor to enable such program to succeed.


Assuntos
Diabetes Mellitus Tipo 1/psicologia , Comportamentos Relacionados com a Saúde , Educação em Saúde , Conhecimentos, Atitudes e Prática em Saúde , Desenvolvimento de Programas , Prática de Saúde Pública , Centros Médicos Acadêmicos , Adolescente , Adulto , Idoso , Criança , Diabetes Mellitus Tipo 1/etiologia , Diabetes Mellitus Tipo 1/terapia , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Nigéria , Adulto Jovem
2.
Afr J Med Med Sci ; 45(1): 91-98, 2016 May.
Artigo em Inglês | MEDLINE | ID: mdl-28686832

RESUMO

BACKGROUND: The current anthropometric indices used for diagnosis of cardio-metabolic syndrome (CMS) in sub-Saharan Africa are those widely validated in the western world. We hereby aim to compare the sensitivity and specificity of these tools in identifying risk factors for CMS. METHOD: The study assessed body mass index (BMI), waist circumference (WC) and waist-to-height ratio (WHtR). Statistical analyses were performed to determine the sensitivity and specificity of WHtR in comparison with WC cut-off points recommended by the International Diabetes Federation (IDF) and the Third Adult Treatment Panel (ATPIII) as well as BMI cut-offs prescribed by the World Health Organisation (WHO). RESULT: WHtR had the highest area under the receiver operating characteristic (ROC) curve in screening CMS. WHtR >0.5 also showed highest sensitivity in both genders in identifying CMS and clusters of >2 CMS risk factors, but with lowest specificity and positive likelihood ratio (LR+). ATPIII WC cut-off revealed lowest sensitivity and highest specificity in screening CMS and >2 CMS risk factors in males (p<0.000l). IDF WC-threshold had the more stable sensitivity and specificity in males (p<0.0001) but not in females. CONCLUSION: WHtR>0.5 is more sensitive than WC and BMI recommended values in screening for CMS, but with the least positive likelihood ratio. However, more studies in other nations of sub-Saharan Africa are needed to assure evaluation of different cut points that will yield optimal specificity and sensitivity. This will help curb the problem of over-diagnosis of CMS risk factors and increase better health outcome of the population.


Assuntos
Antropometria/métodos , Índice de Massa Corporal , Doenças Cardiovasculares , Síndrome Metabólica , Circunferência da Cintura , Razão Cintura-Estatura , Adulto , Doenças Cardiovasculares/diagnóstico , Doenças Cardiovasculares/etnologia , Doenças Cardiovasculares/prevenção & controle , Feminino , Humanos , Masculino , Síndrome Metabólica/diagnóstico , Síndrome Metabólica/etnologia , Síndrome Metabólica/prevenção & controle , Curva ROC , Medição de Risco/métodos , Fatores de Risco , Sensibilidade e Especificidade
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