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1.
Eur Geriatr Med ; 14(6): 1261-1272, 2023 Dec.
Article in English | MEDLINE | ID: mdl-37725311

ABSTRACT

PURPOSE: There is a scarcity of summarizing data on the epidemiology of insomnia in older persons, especially when diagnosed with international criteria. This study aimed to estimate the prevalence and correlates of insomnia disorder in older persons, according to the Diagnostic and Statistical Manual of Mental Disorders (DSM). METHODS: Through PubMed/MEDLINE, EMBASE, and Web of Science (WoS), we searched for relevant articles published before June 28, 2023. The risk of bias was weighed using the Joanna Briggs Institute's (JBI's) critical appraisal checklist for studies reporting prevalence data. For our analyses, we used a random-effect model, with subgroup analyses, meta-regression, and sensitivity analyses to explore potential sources of heterogeneity. We followed the Preferred Reporting Items for Systematic reviews and Meta-Analyses statement. RESULTS: We included 18,270 participants across 16 studies. The male/female ratio was 0.89 (12 studies), and the mean age varied from 65.9 to 83.1 years (8 studies). The pooled prevalence of insomnia was 19.6% (95% CI = [12.3%; 28.3%]), with substantial heterogeneity. This prevalence fluctuated according to the sample size, the minimal age for inclusion, and the study quality, considering that the risk of bias was moderate for most of studies. There was a publication bias, with a very low level of certainty. Insomnia disorder was associated with the female gender, depression, anxiety, and somatic illnesses notably cardiovascular, respiratory, and painful ones. CONCLUSION: Nearly one in every five old individuals was considered to have insomnia disorder, which was associated with the gender and the existence of mental health and/or somatic conditions. REGISTRATION: We registered the protocol in the International Prospective Register of Systematic Reviews (PROSPERO) with registration number: CRD42022344675.


Subject(s)
Sleep Initiation and Maintenance Disorders , Humans , Male , Female , Aged , Aged, 80 and over , Sleep Initiation and Maintenance Disorders/diagnosis , Sleep Initiation and Maintenance Disorders/epidemiology , Diagnostic and Statistical Manual of Mental Disorders , Mental Health
2.
J Clin Hypertens (Greenwich) ; 23(8): 1490-1497, 2021 08.
Article in English | MEDLINE | ID: mdl-34152698

ABSTRACT

Few data to date exist on pediatric hypertension (PH) prevalence and risk factors in semi-urban areas in Cameroon, and they are believed to be the same as urban areas. These data are needed to design targeted preventive strategies and contribute to reducing the burden of PH in Cameroon and countries with equivalent standards of care. The authors conducted a cross-sectional study, from November, 2017 to June, 2018, in primary and secondary schools, from semi-urban (Bamboutos, West Region) and urban (Mfoundi, Center Region) settings in Cameroon, including children and adolescent aged between 3 and 19 years, recruited on a stratified probability sampling. PH was defined according to the American Academy of Pediatrics 2017. Overall, 1001 and 842 participants were, respectively, included in urban and semi-urban areas. The overall average age was 13.9 ± 4.03 years, and two-thirds were girls. Overweight and obesity were more prevalent in urban area (overweight: 17.1%; obesity: 5.9%), compared to semi-urban (overweight: 1.1% and obesity: 0.8%) (p < .001). The prevalence of hypertension was higher in urban (12%) than semi-urban areas (8.6%) (p = .01). We have identified as factors associated with PH: age > 14 years (OR = 3.18 [1.6; 6.2]) and secondary level of education (OR = 2.5 [1.2; 5.5]) in urban areas; family history of hypertension (OR 1.93 [1.1; 3.4] in semi-urban areas. PH prevalence is higher in urban than semi-urban areas, and the associated factors are not the same. Policies to address hypertension in the pediatric population must be targeted and tailored to the different population profiles.


Subject(s)
Hypertension , Pediatric Obesity , Adolescent , Adult , Body Mass Index , Cameroon/epidemiology , Child , Child, Preschool , Cross-Sectional Studies , Female , Humans , Hypertension/epidemiology , Overweight , Prevalence , Schools , Urban Population , Young Adult
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