2025
Temporal Trends in Inadequate Vegetable and Fruit Consumption Among Adolescents Aged 12–15 Years From 31 Countries in Asia, Africa, and the Americas
Smith L, Sánchez G, Tully M, Barnett Y, Butler L, Keyes H, Jacob L, Kostev K, Oh H, Rahmati M, Shin J, Koyanagi A. Temporal Trends in Inadequate Vegetable and Fruit Consumption Among Adolescents Aged 12–15 Years From 31 Countries in Asia, Africa, and the Americas. Health Science Reports 2025, 8: e70711. PMID: 40260027, PMCID: PMC12010760, DOI: 10.1002/hsr2.70711.Peer-Reviewed Original ResearchInadequate fruitVegetable consumptionVegetable intakeLow intake of fruitsIntake of fruitsNegative health outcomesNationally Representative SampleStudy analyzed dataInadequate vegetableHealth outcomesFruit consumptionLinear regression modelsStable trendScarcity of literatureLow intakeRepresentative sampleRegression modelsAdolescent populationAdolescent ageTemporal trendsAnalyzed dataAttend schoolPrevalenceAdolescentsLinear trend
2024
1030 APOE Genotype and Sleep Architecture
Cho G, Buxton O, Pan Y, Miner B. 1030 APOE Genotype and Sleep Architecture. Sleep 2024, 47: a442-a443. DOI: 10.1093/sleep/zsae067.01030.Peer-Reviewed Original ResearchInverse linear trendAPOE4 carrier statusCarrier statusNon-carriersAPOE4 genotypeBurden of Alzheimer's diseaseSlow wave sleepSleep Heart Health StudyAllele carrier statusAPOE4 carriersAPOE4 alleleHealth StudyAssociated with timeReduced sleep qualityGenetic risk factorsLinear regression modelsLinear trendMarital statusIncreasing burdenSleep architectureNon-significant resultsSleep qualityIn-homeEducational attainmentSleep durationTemporal Trends of Physical Fights and Physical Attacks Among Adolescents Aged 12–15 years From 30 Countries From Africa, Asia, and the Americas
Smith L, López Sánchez G, Oh H, Jacob L, Kostev K, Rahmati M, Butler L, Keyes H, Barnett Y, Yon D, Shin J, Koyanagi A. Temporal Trends of Physical Fights and Physical Attacks Among Adolescents Aged 12–15 years From 30 Countries From Africa, Asia, and the Americas. Journal Of Adolescent Health 2024, 74: 996-1005. PMID: 38310506, DOI: 10.1016/j.jadohealth.2023.12.005.Peer-Reviewed Original ResearchConceptsPhysical fightingGlobal School-based Student Health SurveyTemporal trendsGlobal adolescent populationStudent Health SurveyNationally Representative SampleSchool-going adolescentsSelf-reported dataCross-sectional dataHealth SurveyLinear regression modelsStable trendScarcity of literatureRepresentative sampleConfidence intervalsRegression modelsAdolescent populationIncreasing trendAdolescent ageLinear trendSignificant decreasePrevalenceAdolescentsSurveySignificant decreasing trendTemporal trends of carbonated soft-drink consumption among adolescents aged 12–15 years from eighteen countries in Africa, Asia and the Americas
Smith L, Sánchez G, Tully M, Rahmati M, Oh H, Kostev K, Butler L, Barnett Y, Keyes H, Shin J, Koyanagi A. Temporal trends of carbonated soft-drink consumption among adolescents aged 12–15 years from eighteen countries in Africa, Asia and the Americas. British Journal Of Nutrition 2024, 131: 1633-1640. PMID: 38225928, DOI: 10.1017/s0007114524000059.Peer-Reviewed Original ResearchConceptsCarbonated soft drink consumptionSoft drink consumptionGlobal School-based Student Health SurveySample of school-going adolescentsPublic health initiativesStudent Health SurveySchool-going adolescentsTemporal trendsCross-sectional dataHealth initiativesHealth SurveyLinear regression modelsStable trendRepresentative sampleSoft drinksAdolescent HealthNon-Western countriesRegression modelsSignificant decreasePrevalenceAdolescentsLinear trendSurveyHealthDecreasing trendSecular Trends of Fast‐Food Consumption Among Adolescents Aged 12–15 Years: A Global Analysis Including 18 Countries
Smith L, Sánchez G, Tully M, Rahmati M, Butler L, Barnett Y, Keyes H, Kostev K, Oh H, Shin J, Koyanagi A. Secular Trends of Fast‐Food Consumption Among Adolescents Aged 12–15 Years: A Global Analysis Including 18 Countries. Advances In Public Health 2024, 2024 DOI: 10.1155/adph/6560025.Peer-Reviewed Original ResearchPrevalence of fast food consumptionFast food consumptionGlobal School-based Student Health SurveyFast foodConsumption of fast foodSample of school-going adolescentsStudent Health SurveyMiddle-income countriesSchool-going adolescentsFast food restaurantsHealth SurveyPhysical healthLinear regression modelsSecular trendsRepresentative sampleRegression modelsAdolescent ageTemporal trendsPrevalenceAdolescentsLinear trendStable trendSignificant increaseSurveyLMICs
2023
Global Trends in the Prevalence of Alcohol Consumption Among School-Going Adolescents Aged 12–15 Years
Smith L, López Sánchez G, Pizzol D, Oh H, Barnett Y, Schuch F, Butler L, McDermott D, Ball G, Chandola-Saklani A, Shin J, Koyanagi A. Global Trends in the Prevalence of Alcohol Consumption Among School-Going Adolescents Aged 12–15 Years. Journal Of Adolescent Health 2023, 74: 441-448. PMID: 38069926, DOI: 10.1016/j.jadohealth.2023.10.007.Peer-Reviewed Original ResearchConceptsSchool-going adolescentsAdolescent alcohol consumptionAlcohol consumptionGlobal School-based Student Health SurveySample of school-going adolescentsPrevalence of alcohol consumptionMultiple facets of healthStudent Health SurveyMiddle-income countriesFacets of healthHealth SurveyLinear regression modelsTime trendsAlcohol useNon-Western countriesRegression modelsAdolescent ageTemporal trendsSignificant increaseAdolescentsLinear trendStable trendScarcity of dataPrevalenceAlcoholTemporal Trends in Food Insecurity (Hunger) among School-Going Adolescents from 31 Countries from Africa, Asia, and the Americas
Smith L, Sánchez G, Tully M, Jacob L, Kostev K, Oh H, Butler L, Barnett Y, Shin J, Koyanagi A. Temporal Trends in Food Insecurity (Hunger) among School-Going Adolescents from 31 Countries from Africa, Asia, and the Americas. Nutrients 2023, 15: 3226. PMID: 37513642, PMCID: PMC10385660, DOI: 10.3390/nu15143226.Peer-Reviewed Original ResearchConceptsSchool-going adolescentsFood insecurityGlobal School-based Student Health SurveyPrevalence of food insecurityStudent Health SurveySevere food insecurityTemporal trendsHealth SurveyLinear regression modelsPrevalenceRegression modelsAdolescentsInsecurityLinear trendStable trendGlobal commitmentGoal 2United Nations Sustainable Development Goal 2Sustainable Development Goal 2SurveyGlobal actionMalnutritionDecrease
2014
On the spread and control of MDR-TB epidemics: An examination of trends in anti-tuberculosis drug resistance surveillance data
Cohen T, Jenkins HE, Lu C, McLaughlin M, Floyd K, Zignol M. On the spread and control of MDR-TB epidemics: An examination of trends in anti-tuberculosis drug resistance surveillance data. Drug Resistance Updates 2014, 17: 105-123. PMID: 25458783, PMCID: PMC4358299, DOI: 10.1016/j.drup.2014.10.001.Peer-Reviewed Original ResearchConceptsMDR-TBTB casesResistant tuberculosisAbsolute burdenSurveillance dataMDR-TB epidemicDrug-resistant TBMultidrug-resistant tuberculosisDrug-resistant tuberculosisNotified TB casesResistance surveillance dataSufficient surveillance dataWorld Health OrganizationBurden settingsTuberculosis controlUnadjusted analysesSignificant linear trendSurveillance indicatorsRobust surveillance systemHealth OrganizationTuberculosisBurdenSurveillance systemSettingLinear trend
1994
First Postoperative Week Activity Patterns and Recovery in Women after Coronary Artery Bypass Surgery
REDEKER N, MASON D, WYKPISZ E, GLICA B, MINER C. First Postoperative Week Activity Patterns and Recovery in Women after Coronary Artery Bypass Surgery. Nursing Research 1994, 43: 168-173. PMID: 8183659, DOI: 10.1097/00006199-199405000-00008.Peer-Reviewed Original ResearchConceptsCoronary artery bypass surgeryArtery bypass surgerySickness Impact ProfileBypass surgeryPostoperative hospital stayPreoperative functional statusFirst postoperative weekLength of stayMeasure of recoveryPositive linear trendActivity-rest patternHospital stayPostoperative weekFunctional statusWrist actigraphImpact ProfileSIP scoresSignificant positive linear trendStayFirst weekWeeksWomenSurgeryLinear trendShorter length
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply