2025
Association of food environment with diet quality and Body Mass Index (BMI) of school-going adolescents in Nepal
Sharma P, Limaye N, Sah R, Shrestha A. Association of food environment with diet quality and Body Mass Index (BMI) of school-going adolescents in Nepal. PLOS ONE 2025, 20: e0321524. PMID: 40258020, PMCID: PMC12011221, DOI: 10.1371/journal.pone.0321524.Peer-Reviewed Original ResearchConceptsGlobal dietary recommendationsBody mass indexSchool-going adolescentsHome food environmentNon-communicable diseasesDiet qualityFood environmentAvailability of healthy foodsCalculate body mass indexHealthy food environmentsMass indexFood environmental factorsBody mass index scoresAssess diet qualityDiet quality questionnaireAdolescent diet qualityCross-sectional analytical studyWeight of participantsUnhealthy itemsHealth outcomesHealthy dietWalking timeHealthy foodStata 14Dietary recommendations
2023
Dietary Patterns Among Individuals with Plasma Cell Disorders Compared to the General US Population
Traore K, Taneja A, Gorshein E, Castro F, Derkach A, Martinez J, Serrano E, Lesokhin A, Ahlstrom J, Block T, Hydren J, Usmani S, Shah U. Dietary Patterns Among Individuals with Plasma Cell Disorders Compared to the General US Population. Blood 2023, 142: 7363. DOI: 10.1182/blood-2023-186913.Peer-Reviewed Original ResearchBody mass indexPlasma cell disordersHigher HEI scoresFood frequency questionnaireGeneral US populationHEI scoresDietary patternsTotal fruit consumptionMultiple myelomaUS populationDietary interventionDietary guidelinesFruit consumptionCell disordersHealthy dietBlock Food Frequency QuestionnaireElevated body mass indexLower body mass indexCancer-specific mortalityLong-term outcomesHealthy Eating IndexNutrition Examination SurveyHealthy dietary habitsRole of nutritionOlder age groupsAssociation of Healthy Lifestyles with Non-Alcoholic Fatty Liver Disease: A Prospective Cohort Study in Chinese Government Employees
Ling Z, Zhang C, He J, Ouyang F, Qiu D, Li L, Li Y, Li X, Duan Y, Luo D, Xiao S, Shen M. Association of Healthy Lifestyles with Non-Alcoholic Fatty Liver Disease: A Prospective Cohort Study in Chinese Government Employees. Nutrients 2023, 15: 604. PMID: 36771311, PMCID: PMC9921275, DOI: 10.3390/nu15030604.Peer-Reviewed Original ResearchConceptsHealthy lifestyle factorsLifestyle factorsBody mass indexLow-risk factorsChinese government employeesAssociations of healthy lifestyleCohort studyHealthy lifestyle patternNon-sedentary behaviorIncidence of non-alcoholic fatty liver diseaseNormal body mass indexRisk of non-alcoholic fatty liver diseaseOR of NAFLDNon-alcoholic fatty liver diseaseProspective cohort studyLogistic regression modelsPhysical activityAssociated with non-alcoholic fatty liver diseaseHealthy lifestyleLifestyle patternsHealthy dietMass indexGovernment employeesFatty liver diseaseRegression models
2022
Food addiction, orthorexia nervosa and dietary diversity among Bangladeshi university students: a large online survey during the COVID-19 pandemic
Sultana M, Islam M, Sayeed A, Koly K, Baker K, Hossain R, Ahmed S, Ferdous M, Mubarak M, Potenza M, Sikder M. Food addiction, orthorexia nervosa and dietary diversity among Bangladeshi university students: a large online survey during the COVID-19 pandemic. Journal Of Eating Disorders 2022, 10: 163. PMID: 36376901, PMCID: PMC9662779, DOI: 10.1186/s40337-022-00680-0.Peer-Reviewed Original ResearchFood addictionOrthorexia nervosaDietary diversityPrevalence of ONDark green leafy vegetablesYale Food Addiction ScaleMultivariable linear regressionCOVID-19 pandemicLow dietary diversityGreen leafy vegetablesHealthy dietOrgan meatsDD scoresBangladeshi university studentsAppropriate interventionsOrganization guidelinesConclusionsThe findingsOnline surveyFood rulesNervosaGuilty feelingsCurrent studyLarge online surveyAddictionFitness goals
2021
Culinary nutrition course equips future physicians to educate patients on a healthy diet: an interventional pilot study
Wood N, Gleit R, Levine D. Culinary nutrition course equips future physicians to educate patients on a healthy diet: an interventional pilot study. BMC Medical Education 2021, 21: 280. PMID: 34001085, PMCID: PMC8127510, DOI: 10.1186/s12909-021-02702-y.Peer-Reviewed Original ResearchConceptsHealthy dietPilot studyOwn dietInterventional pilot studyCause of deathBiggest risk factorNutrition courseItem completion ratesFixed-effects modelDietary counsellingSecondary outcomesPrimary outcomeCounselling patientsRisk factorsMedical studentsDietary habitsWayne State University SchoolPatientsFuture patientsNutrition experiencesDedicated nutrition courseMonthsStatistical significanceDietSuch interventionsValidation of a six-item dietary calcium screening tool among HIV patients in China
Tseng LY, Xie W, Pan W, Lyu H, Yu Z, Shi W, He Y, Chen W, Li T, Hsieh E. Validation of a six-item dietary calcium screening tool among HIV patients in China. Public Health Nutrition 2021, 24: 4786-4795. PMID: 33820577, PMCID: PMC8600937, DOI: 10.1017/s1368980021001427.Peer-Reviewed Original ResearchConceptsSix-item toolAdjacent quartilesClinical practiceScreening toolClinical risk factorsFollow-up screeningModerate relative validityTime-point studyHIV patientsAverage BMIBone healthMean ageOutpatient settingNutritional assessmentRisk factorsRoutine screeningDietary CaHealthy dietDisease preventionHIVFurther assessmentRelative validityAdequate CaChinese individualsTarget population
2020
Modifiable factors to improve work-life balance for trauma surgeons.
Brown CVR, Joseph BA, Davis K, Jurkovich GJ. Modifiable factors to improve work-life balance for trauma surgeons. Journal Of Trauma And Acute Care Surgery 2020, 90: 122-128. PMID: 32925572, DOI: 10.1097/ta.0000000000002910.Peer-Reviewed Original ResearchConceptsModifiable factorsTrauma surgeonsAwake hoursAAST membersSecondary outcomesPrimary outcomeRisk factorsCare managementClinical practiceHealthy dietPoor work-life balanceLevel IIITrauma membersSurgeonsAmerican AssociationTrauma leadersEmotional supportHoursOutcomesTotalSurvey studySpecific aimLifestyleWork hoursDetailed questionsA-194 The Impact of Emodiversity on Mental and Physical Health
R R, D C, A A. A-194 The Impact of Emodiversity on Mental and Physical Health. Archives Of Clinical Neuropsychology 2020, 35: 989-989. DOI: 10.1093/arclin/acaa068.194.Peer-Reviewed Original ResearchPhysical healthHealth conditionsMental health conditionsDifferent mental health conditionsType II diabetesSystemic inflammationRheumatoid diseaseInsulin resistancePoor health conditionsRegular exerciseInflammatory responseInclusion criteriaPhysical illnessHealthy dietII diabetesSystematic reviewMental healthOxidative stressGoogle ScholarData synthesisScience DirectPeer-reviewed articlesHealthAdaptive copingPredictorsGlobal Dietary Intake in Relation to the EAT Lancet Commission’s Scientific Targets; Results from the Global Dietary Database 2015
Reedy J, Cudhea F, Miller V, Zhang J, Shi P, Puklin L, Coates J, Micha R, Mozaffarian D. Global Dietary Intake in Relation to the EAT Lancet Commission’s Scientific Targets; Results from the Global Dietary Database 2015. Current Developments In Nutrition 2020, 4: nzaa053_100. PMCID: PMC7258514, DOI: 10.1093/cdn/nzaa053_100.Peer-Reviewed Original ResearchGlobal Dietary DatabaseDietary intakeEAT-LancetPopulation subgroupsWhole grainsDietary databaseNon-starchy vegetablesDietary intake dataActual dietary intakeGlobal dietary patternsIndividual-level dataCountry-level covariatesRural adultsUrban/rural residenceEAT-Lancet CommissionDietary targetsStarchy vegetablesHealthy dietDietary patternsIntake dataDietary factorsEducation levelStratum-specificRed meatPlanetary health
2017
Improved Sleep, Diet, and Exercise in Adults with Serious Mental Illness: Results from a Pilot Self-Management Intervention
Schmutte T, Davidson L, O’Connell M. Improved Sleep, Diet, and Exercise in Adults with Serious Mental Illness: Results from a Pilot Self-Management Intervention. Psychiatric Quarterly 2017, 89: 61-71. PMID: 28455555, DOI: 10.1007/s11126-017-9516-9.Peer-Reviewed Original ResearchConceptsSerious mental illnessSelf-management programSleep qualityMental illnessPhysical health-related outcomesChronic Disease Self-Management ProgramDisease Self-Management ProgramSelf-reported sleep qualityChronic medical illnessHealth-promoting changesSelf-management interventionsReduced life expectancyHealth-related outcomesRobust risk factorMajority of adultsMedical morbidityMedical illnessPhysical morbidityRisk factorsPoor sleepPremature mortalityGeneral populationPhysical illnessExercise frequencyHealthy diet
2016
Prevalence of ideal cardiovascular health metrics in children & adolescents: A systematic review
Pacor J, Younus A, Malik R, Osondu C, Aziz M, Ogunmoroti O, Younus M, Aneni E, Spatz E, Humayun C, Virani S, Blaha M, Nasir K. Prevalence of ideal cardiovascular health metrics in children & adolescents: A systematic review. Progress In Pediatric Cardiology 2016, 43: 141-146. DOI: 10.1016/j.ppedcard.2016.09.002.Peer-Reviewed Original ResearchIdeal CVH metricsIdeal cardiovascular healthCVH metricsCardiovascular healthPhysical activityLow prevalenceSystematic reviewIdeal cardiovascular health metricsIdeal blood pressureCardiovascular health metricsMEDLINE database searchBlood pressurePlasma glucoseExclusion criteriaIndependent reviewersHealthy dietPrevalence dataPrevalenceAvailable evidenceChild populationPrevalence percentageYoung populationHealth metricsBMIDiet
2015
Physical Activity, Sedentary Behaviors, and Nutritional Risk Profiles and Relations to Body Mass Index, Obesity, and Overweight in Eighth Grade
Berlin KS, Kamody RC, Thurston IB, Banks GG, Rybak TM, Ferry RJ. Physical Activity, Sedentary Behaviors, and Nutritional Risk Profiles and Relations to Body Mass Index, Obesity, and Overweight in Eighth Grade. Behavioral Medicine 2015, 43: 31-39. PMID: 25909358, DOI: 10.1080/08964289.2015.1039956.Peer-Reviewed Original ResearchConceptsBody mass indexPhysical activitySedentary behaviorMass indexBody mass index z-scoreRisk profilePsychosocial functioningNutritional risk profilesIndex z-scoreLongitudinal study cohortStudy cohortPsychosocial factorsHealthy dietScreen timeZ-scoreUnbalanced dietNutritional choicesDemographic characteristicsIntervention programsSignificant differencesDemographicsDifferential patternsDietQuestionnaire IIOverweightCorrespondence of physical activity and fruit/vegetable consumption among prostate cancer survivors and their spouses
Virtue S, Manne S, Kashy D, Heckman C, Zaider T, Kissane D, Kim I, Lee D, Olekson G. Correspondence of physical activity and fruit/vegetable consumption among prostate cancer survivors and their spouses. European Journal Of Cancer Care 2015, 24: 827-839. PMID: 25807856, PMCID: PMC4733598, DOI: 10.1111/ecc.12316.Peer-Reviewed Original ResearchConceptsFruit/vegetable consumptionProstate cancer survivorsCancer survivorsPhysical activityVegetable consumptionHealthy dietGreater patientCouple-based interventionsProstate cancerControl trialHealth behaviorsHealthy behaviorsSurvivorsExercise behaviorBaseline dataPatientsDietSelf-report measuresSpousal relationshipHigher relationship satisfactionSpousesPast yearHigh levelsRelationship satisfactionActivity
2003
Interest in Healthy Diet and Physical Activity Interventions Peripartum among Female Partners of Active Duty Military
Østbye T, McBride C, Demark-Wahnefried W, Bastian L, Morey M, Krause KM, Brouwer R, Turner B. Interest in Healthy Diet and Physical Activity Interventions Peripartum among Female Partners of Active Duty Military. Military Medicine 2003, 168: 320-325. PMID: 12733678, DOI: 10.1093/milmed/168.4.320.Peer-Reviewed Original ResearchConceptsWeight loss interventionHealthy dietWeight lossSustained weight lossFemale partnersActive duty soldiersPregnancy overweightPeripartum womenActive duty militaryExercise interventionPostpartum periodPhysical activityGeneral populationDuty soldiersEffective interventionsClear healthExercise behaviorInterventionOverweightOne-thirdTeachable momentWomenDietPopulationObese
1997
Current Dietary Practices and Stages of Change for Dietary Fat in Women
Krummel D, Humphries D, Rye S, Simon K. Current Dietary Practices and Stages of Change for Dietary Fat in Women. Journal Of The Academy Of Nutrition And Dietetics 1997, 97: a21. DOI: 10.1016/s0002-8223(97)00390-8.Peer-Reviewed Original ResearchLow-fat dietDietary fatStages of changeFat dietChronic diseasesCardiovascular diseaseNutrition interventionsPrimary care sitesSelf-rated healthCurrent dietary practicesWest Virginia womenNumber of barriersSample of womenDiet recallCare sitesRestaurant eatingHealthy dietDietary practicesFamily preferencesStaging algorithmWomenDiseaseActivity levelsDietTable analysis
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