0000000000248781

AUTHOR

A. Matthew Prina

showing 4 related works from this author

Pain and severe sleep disturbance in the general population: Primary data and meta-analysis from 240,820 people across 45 low- and middle-income coun…

2018

Objective:\ud Pain and sleep disturbances are widespread, and are an important cause of a reduced quality of life. Despite this, there is a paucity of multinational population data assessing the association between pain and sleep problems, particularly among low- and middle-income countries (LMICs). Therefore, we investigated the relationship between pain and severe sleep disturbance across 45 LMICs.\ud \ud Method: \ud Community-based data on 240,820 people recruited via the World Health Survey were analyzed. Multivariable logistic regression analyses adjusted for multiple confounders were performed to quantify the association between pain and severe sleep problems in the last 30 days. A me…

AdultMaleSleep Wake Disordersmedicine.medical_specialtySleep Pain Sleep disturbance Psychiatry Low- and middle-income countries*Low- and middle-income countriesPopulationSleep disturbancePainSleep Wake DisordersComorbidityAnxietyGlobal Health03 medical and health sciences*Sleep0302 clinical medicine*PainmedicineInsomniaHumans030212 general & internal medicineeducationDeveloping CountriesDepression (differential diagnoses)Psychiatryeducation.field_of_studySleep disorderLow- and middle-income countriesbusiness.industryDepressionLow- and middle-income countries; Pain; Psychiatry; Sleep; Sleep disturbance; Psychiatry and Mental HealthOdds ratio*Sleep disturbanceMiddle Agedmedicine.diseaseComorbidityHealth SurveysPsychiatry and Mental healthRC0321Physical therapyAnxiety*PsychiatryFemalemedicine.symptomSleepbusiness030217 neurology & neurosurgeryStress PsychologicalGeneral hospital psychiatry
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Inflammation and frailty in the elderly: A systematic review and meta-analysis

2016

The pathogenesis of frailty and the role of inflammation is poorly understood. We examined the evidence considering the relationship between inflammation and frailty through a systematic review and meta-analysis. A systematic literature search of papers providing data on inflammatory biomarkers and frailty was carried out in major electronic databases from inception until May 2016. From 1856 initial hits, 35 studies (32 cross-sectional studies n = 3232 frail, n = 11,483 pre-frail and n = 8522 robust, and 563 pre-frail + robust; 3 longitudinal studies n = 3402 participants without frailty at baseline) were meta-analyzed. Cross-sectional studies reported that compared to 6757 robust participa…

GerontologyMalemedicine.medical_specialtyAgingNeurologyFrail ElderlyInflammationPre-frailtyBiochemistry03 medical and health sciencesFibrinogen levels0302 clinical medicineInternal medicineWhite blood cellmedicine80 and overHumans030212 general & internal medicineMolecular BiologyAgedAged 80 and overInflammationbiologyInflammation Pre-frailty Frailty Aging C-Reactive proteFrailtybusiness.industryInterleukin-6C-reactive proteinC-Reactive proteinInflammatory biomarkersAgeingmedicine.anatomical_structureAging; C-Reactive protein; Frailty; Inflammation; Interleukin-6; Pre-frailty; Aged; Aged 80 and over; Biomarkers; Cytokines; Female; Humans; Inflammation; Male; Frail ElderlyNeurologyMeta-analysisbiology.proteinCytokinesFemalemedicine.symptombusiness030217 neurology & neurosurgeryBiomarkersSystematic searchBiotechnologyAging; C-Reactive protein; Frailty; Inflammation; Interleukin-6; Pre-frailty
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Latent structure of the Centre for Epidemiologic Studies Depression Scale (CES-D) in older adult populations: a systematic review

2019

Objective: The Center for Epidemiologic Studies Depression Scale (CES-D) is a 20-item, self-report metric intended to measure depression. Despite being one of the most popular depression scales, the psychometric properties, specifically the underlying factor structure of the scale, have come under scrutiny. The latent structure of a scale is a key indicator of its construct validity, i.e. the degree to which the intended variable is captured. To date, a comprehensive review of the latent structure of the CES-D in older adult populations (≥65 years old) has not been conducted. We aimed to examine the latent structure of the CES-D in samples of older adults to assess its ability to capture de…

PsychometricsDepression scaleFactor structurebehavioral disciplines and activitiesfactor structure03 medical and health sciences0302 clinical medicineolder adults.HumansLatent structureCenter for Epidemiologic Studies Depression ScaleDepression (differential diagnoses)AgedPsychiatric Status Rating Scales030214 geriatricsDepressionReproducibility of ResultsCenter for Epidemiologic Studies Depression ScaleUnited StatesPsychiatry and Mental healthEpidemiologic StudiesMetric (unit)Self ReportGeriatrics and GerontologyPshychiatric Mental HealthPsychologyFactor Analysis StatisticalGerontology030217 neurology & neurosurgeryClinical psychology
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Relationship between depression and frailty in older adults: A systematic review and meta-analysis

2017

Aim Depression and frailty are prevalent and burdensome in older age. However, the relationships between these entities are unclear and no quantitative meta- analysis exists. We conducted a systematic review and meta-analysis to investigate the associations between depression and frailty. Methods Two authors searched major electronic databases from inception until November-2016 for cross-sectional/longitudinal studies investigating depression and frailty. The strength of the reciprocal associations between frailty and depression was assessed through odds ratios (ORs) adjusted for potential confounders. Results From 2306 non duplicated hits, 24 studies were included. The overall prevalence o…

GerontologyAgingCross-sectional studyDepression; Frail; Geriatrics; Meta-analysis; Older adults; Psychiatry; Biotechnology; Biochemistry; Aging; Molecular Biology; NeurologyFrail ElderlyBiochemistryPsiquiatra03 medical and health sciencesDepression Frail Geriatrics Older adults Meta-analysis Psychiatry0302 clinical medicineFrailRisk FactorsPrevalenceMedicineHumans030212 general & internal medicineRisk factorMolecular BiologyDepression (differential diagnoses)AgedAged 80 and overPsychiatryFrailtybusiness.industryDepressionIncidenceConfoundingPublication biasOdds ratioLate life depressionMeta-analysisCross-Sectional StudiesNeurologyGeriatricsMeta-analysisOlder adultsbusiness030217 neurology & neurosurgeryBiotechnology
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