2024
Study Recruitment, Retention, and Adherence Among Chinese American Immigrants During the COVID-19 Pandemic
Huang S, Nam S, Ash G, Wu B, Melkus G, Jeon S, McMahon E, Dickson V, Whittemore R. Study Recruitment, Retention, and Adherence Among Chinese American Immigrants During the COVID-19 Pandemic. Nursing Research 2024, 73: 328-336. PMID: 38905624, DOI: 10.1097/nnr.0000000000000731.Peer-Reviewed Original ResearchConceptsChinese American immigrantsRecruitment strategiesRetention strategiesSnowball samplingOnline surveyMultiple recruitment strategiesPhysical activity studiesForeign-born Chinese womenCOVID-19 pandemicAmerican immigrantsGestational diabetesDiverse socioeconomic groupsStudy websiteReport adherenceEmail remindersGeographically diverse sampleHealth researchText remindersAdherence strategiesCommunity outreachStudy recruitmentDiabetes diagnosisIndex pregnancyStudy webpageChinese women
2022
Using the Implementation Research Logic Model as a Lens to View Experiences of Implementing HIV Prevention and Care Interventions with Adolescent Sexual Minority Men—A Global Perspective
Nelson LE, Ogunbajo A, Abu-Ba’are G, Conserve DF, Wilton L, Ndenkeh JJ, Braitstein P, Dow D, Arrington-Sanders R, Appiah P, Tucker J, Nam S, Garofalo R. Using the Implementation Research Logic Model as a Lens to View Experiences of Implementing HIV Prevention and Care Interventions with Adolescent Sexual Minority Men—A Global Perspective. AIDS And Behavior 2022, 27: 128-143. PMID: 35947235, PMCID: PMC10191897, DOI: 10.1007/s10461-022-03776-5.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentGhanaHIV InfectionsHumansKenyaMaleResearch DesignSexual and Gender MinoritiesUnited StatesConceptsViral load suppressionSexual minority menHIV preventionAdolescent sexual minority menImplementation science studyHigh priority groupCare interventionsConsolidated FrameworkIntervention implementationStudy designImplementation determinantsPriority groupsImplementation researchPreventionInterventionMinority menPrincipal investigatorOptimal approachAdolescentsHIV
2018
Obesity‐risk behaviours and their associations with body mass index (BMI) in Korean American children
Jang M, Grey M, Sadler L, Jeon S, Nam S, Song H, Whittemore R. Obesity‐risk behaviours and their associations with body mass index (BMI) in Korean American children. Journal Of Clinical Nursing 2018, 27: 3408-3417. PMID: 28771983, DOI: 10.1111/jocn.13982.Peer-Reviewed Original ResearchConceptsBody mass indexObesity risk behaviorsObesity-related complicationsMass indexScreen timeChild BMI z-scoreRecreational screen timeBMI z-scoreRates of overweightCross-sectional studyVigorous physical activityObesity-related behaviorsWeight of childrenAmerican childrenFruits/vegetablesClinical assessmentPhysical activitySedentary behaviorSelf-report questionnairesHealthcare providersMultivariate analysisZ-scoreClinical interventionsOverweightMixed effects models
2017
Factors associated with school‐aged children's body mass index in Korean American families
Jang M, Grey M, Sadler L, Jeon S, Nam S, Song H, Whittemore R. Factors associated with school‐aged children's body mass index in Korean American families. Journal Of Advanced Nursing 2017, 73: 1896-1909. PMID: 28181307, DOI: 10.1111/jan.13277.Peer-Reviewed Original ResearchConceptsChild body mass indexBody mass indexMass indexHigher child body mass indexMultivariate analysisBivariate analysisObesity risk behaviorsCross-sectional studyCommunity factorsChildren's screen timeChildhood obesityChild weightSelf-report questionnairesNumber of childrenAmerican childrenScreen timeSchool Lunch ProgramMixed effects modelsConvenient samplingLimited dataObesityChildrenParental underestimationEffects modelLunch Program
2014
Weight Status, Gender, and Race/Ethnicity
Minges KE, Chao A, Nam S, Grey M, Whittemore R. Weight Status, Gender, and Race/Ethnicity. The Journal Of School Nursing 2014, 31: 135-145. PMID: 25312400, PMCID: PMC4363285, DOI: 10.1177/1059840514554089.Peer-Reviewed Original ResearchConceptsRace/ethnicityPhysical activityScreen timeWeight statusHealthy behaviorsOverweight/obese adolescentsHigh physical activityLess screen timeLimited screen timeLogistic regression analysisPublic health guidelinesNormal weightObese adolescentsPA guidelinesAdequate fruitHealth guidelinesMost adolescentsSignificant differencesRegression analysisOverall sampleAdolescentsDiverse urban adolescentsDescriptive statisticsUrban adolescentsGuidelines