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1.
BMC Public Health ; 17(1): 909, 2017 11 28.
Artigo em Inglês | MEDLINE | ID: mdl-29183300

RESUMO

BACKGROUND: Metabolic syndrome refers to a cluster of interrelated disorders which occur together causing an increase in the risk of developing cardiovascular disease and diabetes. The university population is an understudied group despite the increase in the frequency of related disorders and metabolic risk factors e.g. obesity and diabetes, majorly due to the assumption that they are in their most active phase of life therefore healthy. This study looked at metabolic syndrome, the sedentary lifestyles and dietary habits present among university students attending Mount Kenya University, main campus. METHODS: Stratified sampling was used to select participants. Self-administered questionnaires were issued to participants after a signed consent had been obtained following which clinical assessments and biochemical measures were performed. They included blood pressure, fasting blood glucose, triglycerides, high density lipoprotein-cholesterol, anthropometric measurements; height, weight, BMI and waist circumference. Pearson's chi-square tests and non-parametric independent t-test were used to analyze the prevalence of metabolic syndrome criteria per gender, the number of metabolic syndrome criteria per BMI and prevalence of metabolic syndrome criteria per BMI category. RESULTS: The study established that 1.9% of the participants met the criteria for diagnosis of metabolic syndrome according to HJSS criteria. Among the elements, there was statistical difference in gender BMI and waist circumference. 11.8% of subjects had two metabolic syndrome components while 3.1% had three components while none of the subjects had all six components. Elevated triglycerides was the most prevalent defining component for metabolic syndrome. There is a statistically significant relationship between sedentary lifestyle and dietary habits as risk factors to metabolic syndrome. CONCLUSION: Young adults in university have begun developing metabolic syndrome and the risk of developing the syndrome continues to increase with the components being reported in early age. Educational initiatives to encourage healthy eating should be conducted within school premises in order to reinforce the message on healthy diets and physical exercise. Pre-admission screening to identify at risk students should be conducted. Targeted interventions development through a mandatory extra co-curricular program should be enforced to positively engage those at risk.


Assuntos
Comportamento Alimentar , Síndrome Metabólica/epidemiologia , Comportamento Sedentário , Estudantes/psicologia , Adolescente , Adulto , Estudos Transversais , Feminino , Humanos , Quênia/epidemiologia , Masculino , Prevalência , Fatores de Risco , Estudantes/estatística & dados numéricos , Inquéritos e Questionários , Universidades , Adulto Jovem
2.
Epilepsia ; 51(12): 2370-6, 2010 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-20608962

RESUMO

PURPOSE: Epilepsy is common in sub-Saharan Africa but is poorly characterized. Most studies are hospital-based, and may not reflect the situation in rural areas with limited access to medical care. We examined people with active convulsive epilepsy (ACE), to determine if the clinical features could help elucidate the causes. METHODS: We conducted a detailed descriptive analysis of 445 people with ACE identified through a community-based survey of 151,408 people in rural Kenya, including the examination of electroencephalograms. RESULTS: Approximately half of the 445 people with ACE were children aged 6 to 18 years. Seizures began in childhood in 78% of those diagnosed. An episode of status epilepticus was recalled by 36% cases, with an episode of status epilepticus precipitated by fever in 26%. Overall 169 had an abnormal electroencephalogram, 29% had focal features, and 34% had epileptiform activity. In the 146 individuals who reported generalized tonic-clonic seizures only, 22% had focal features on their electroencephalogram. Overall 71% of patients with ACE had evidence of focal abnormality, documented by partial onset seizures, focal neurologic deficits, or focal abnormalities on the electroencephalogram. Increased seizure frequency was strongly associated with age and cognitive impairment in all ages and nonattendance at school in children (p < 0.01). DISCUSSION: Children and adolescents bear the brunt of epilepsy in a rural population in Africa. The predominance of focal features and the high proportion of patients with status epilepticus, suggests that much of the epilepsy in this region has identifiable causes, many of which could be prevented.


Assuntos
Epilepsia/diagnóstico , Epilepsia/epidemiologia , Convulsões Febris/epidemiologia , Adolescente , África Subsaariana/epidemiologia , Fatores Etários , Criança , Transtornos Cognitivos/diagnóstico , Transtornos Cognitivos/epidemiologia , Comorbidade , Coleta de Dados/estatística & dados numéricos , Eletroencefalografia/estatística & dados numéricos , Epilepsias Parciais/diagnóstico , Epilepsias Parciais/epidemiologia , Epilepsias Parciais/etiologia , Epilepsia/etiologia , Feminino , Humanos , Quênia/epidemiologia , Masculino , Vigilância da População , Áreas de Pobreza , Prevalência , Fatores de Risco , População Rural/estatística & dados numéricos , Convulsões/diagnóstico , Convulsões/epidemiologia , Convulsões/etiologia , Convulsões Febris/diagnóstico , Estado Epiléptico/diagnóstico , Estado Epiléptico/epidemiologia , Estado Epiléptico/etiologia , Adulto Jovem
3.
Lancet Neurol ; 7(1): 50-6, 2008 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-18068520

RESUMO

BACKGROUND: Few large-scale studies of epilepsy have been done in sub-Saharan Africa. We aimed to estimate the prevalence of, treatment gap in, and possible risk factors for active convulsive epilepsy in Kenyan people aged 6 years or older living in a rural area. METHODS: We undertook a three-phase screening survey of 151,408 individuals followed by a nested community case-control study. Treatment gap was defined as the proportion of cases of active convulsive epilepsy without detectable amounts of antiepileptic drugs in blood. FINDINGS: Overall prevalence of active convulsive epilepsy was 2.9 per 1000 (95% CI 2.6-3.2); after adjustment for non-response and sensitivity, prevalence was 4.5 per 1000 (4.1-4.9). Substantial heterogeneity was noted in prevalence, with evidence of clustering. Treatment gap was 70.3% (65.9-74.5), with weak evidence of a difference by sex and area. Adjusted odds of active convulsive epilepsy for all individuals were increased with a family history of non-febrile convulsions (odds ratio 3.3, 95% CI 2.4-4.7; p<0.0001), family history of febrile convulsions (14.6, 6.3-34.1; p<0.0001), history of both seizure types (7.3, 3.3-16.4; p<0.0001), and previous head injury (4.1, 2.1-8.1; p<0.0001). Findings of multivariable analyses in children showed that adverse perinatal events (5.7, 2.6-12.7; p<0.0001) and the child's mother being a widow (5.1, 2.4-11.0; p<0.0001) raised the odds of active convulsive epilepsy. INTERPRETATION: Substantial heterogeneity exists in prevalence of active convulsive epilepsy in this rural area in Kenya. Assessment of prevalence, treatment use, and demographic variation in screening response helped to identify groups for targeted interventions. Adverse perinatal events, febrile illness, and head injury are potentially preventable associated factors for epilepsy in this region.


Assuntos
População Rural/estatística & dados numéricos , Convulsões/epidemiologia , Adolescente , Adulto , Criança , Estudos Transversais , Feminino , Humanos , Quênia/epidemiologia , Masculino , Pessoa de Meia-Idade , Razão de Chances , Estudos Retrospectivos , Fatores de Risco
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