1.Obesity and obstructive sleep apnoea hypopnoea syndrome in Singapore children.
Annals of the Academy of Medicine, Singapore 2008;37(8):710-714
<p>INTRODUCTIONObesity affects about 10% to 15% of our school-going population in Singapore and is a risk factor for development of obstructive sleep apnoea hypopnoea syndrome (OSAHS). This article reviews the prevalence, aetiology, pathophysiology, diagnosis, complications and treatment of obese children with OSAHS with particular reference to children in Singapore.p><p>METHODSReview of articles or conference papers reporting data with regards to OSAHS in Singapore children.p><p>RESULTSPrevalence of OSAHS was high in obese children in Singapore and was more common in males with no racial predisposition. Hypersomnolence as a presenting symptom was uncommon. Cognitive function, behaviour, attention and processing speed was affected and improved after intervention. Abnormalities of glucose metabolism were also found with the respiratory disturbance index (RDI) as an independent predictor of insulin resistance. Tonsillectomy and or adenoidectomy was efficacious as treatment and risk of complications was low. No significant increase in weight occurred post intervention in those enrolled in concurrent weight management programmes.p><p>CONCLUSIONSPrevalence of OSAHS is high in obese Singapore children and many are 'asymptomatic'. A low threshold for evaluation is necessary for early diagnosis and intervention for prevention of morbidity. Tonsillectomy and/or adenoidectomy is safe and efficacious and remains the first-line treatment in most obese patients.p>
Adenoidectomy
;
Child
;
Diabetes Mellitus
;
epidemiology
;
Disorders of Excessive Somnolence
;
epidemiology
;
Humans
;
Obesity
;
epidemiology
;
Prevalence
;
Quality of Life
;
Singapore
;
epidemiology
;
Sleep Apnea Syndromes
;
epidemiology
;
Sleep Apnea, Obstructive
;
epidemiology
;
physiopathology
;
Tonsillectomy
2.Prevalence and Incidence of Epilepsy in an Elderly and Low-Income Population in the United States.
Derek H TANG ; Daniel C MALONE ; Terri L WARHOLAK ; Jenny CHONG ; Edward P ARMSTRONG ; Marion K SLACK ; Chiu Hsieh HSU ; David M LABINER
Journal of Clinical Neurology 2015;11(3):252-261
BACKGROUND AND PURPOSE: The purpose of this study was to estimate the incidence and prevalence of epilepsy among an elderly and poor population in the United States. METHODS: Arizona Medicaid claims data from January 1, 2008 to December 31, 2010 were used for this analysis. Subjects who were aged > or =65 years and were continuously enrolled in any Arizona Medicaid health plans (eligible to patients with low income) for > or =12 months between January 1, 2008 and December 31, 2009 were considered eligible for inclusion in the study cohort. In addition to meeting the aforementioned criteria, incident and prevalent cases must have had epilepsy-related healthcare claims. Furthermore, incident cases were required to have a 1-year "clean" period immediately preceding the index date. Negative binomial and logistic regression models were used to assess the factors associated with epilepsy incidence and prevalence. RESULTS: The estimated epilepsy incidence and prevalence for this population in 2009 were 7.9 and 19.3 per 1,000 person-years, respectively. The incidence and prevalence rates were significantly higher for patients with comorbid conditions that were potential risk factors for epilepsy and were of younger age than for their non-comorbid and older counterparts (p<0.05). The prevalence rates were significantly higher for non-Hispanic Blacks and male beneficiaries than for non-Hispanic Whites and female beneficiaries, respectively (p<0.05). CONCLUSIONS: This patient population had higher epilepsy incidence and prevalence compared with the general US population. These differences may be at least in part attributable to their low socioeconomic status.
African Continental Ancestry Group
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Aged*
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Arizona
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Cohort Studies
;
Delivery of Health Care
;
Epilepsy*
;
Female
;
Humans
;
Incidence*
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Logistic Models
;
Male
;
Medicaid
;
Poverty*
;
Prevalence*
;
Risk Factors
;
Social Class
;
United States*