0000000000646565

AUTHOR

Marian L. Neuhouser

showing 7 related works from this author

Daily energy expenditure through the human life course

2021

Total daily energy expenditure (“total expenditure”, MJ/d) reflects daily energy needs and is a critical variable in human health and physiology, yet it is unclear how daily expenditure changes over the life course. Here, we analyze a large, globally diverse database of total expenditure measured by the doubly labeled water method for males and females aged 8 days to 95 yr. We show that total expenditure is strongly related to fat free mass in a power-law manner and identify four distinct metabolic life stages. Fat free mass-adjusted daily expenditure accelerates rapidly in neonates (0-1yr) to ~46% above adult values at ~1 yr, declines slowly throughout childhood and adolescence (1-20 yr) t…

MaleAging030309 nutrition & dietetics[SDV]Life Sciences [q-bio]BASAL METABOLIC-RATELONGITUDINAL ASSESSMENTCHILDRENVDP::Technology: 500::Electrotechnical disciplines: 540SDG 3 – Goede gezondheid en welzijnRC12000302 clinical medicinePregnancy80 and overGlobal healthWATER030212 general & internal medicineDEPOSITIONYoung adultChildAged 80 and over2. Zero hunger0303 health sciencesMultidisciplinaryMiddle AgedHuman development (humanity)Child PreschoolSLEEP DURATIONBody CompositionLife course approachFemaleIAEA DLW Database ConsortiumAdultAdolescentGeneral Science & TechnologyDoubly labeled waterArticleYoung Adult03 medical and health sciencesSDG 3 - Good Health and Well-beingmedicineHumansExercise physiologyPreschoolExerciseAgedNutritionPregnancyORGAN SIZEbusiness.industryBody WeightInfant NewbornInfantNewbornmedicine.diseaseCELLULAR-LEVEL APPROACHPHYSICAL-ACTIVITYBasal metabolic rateBasal MetabolismEnergy MetabolismbusinessREQUIREMENTSDemographyScience
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Variability in energy expenditure is much greater in males than females

2022

In mammals, trait variation is often reported to be greater among males than females. However, to date, mainly only morphological traits have been studied. Energy expenditure represents the metabolic costs of multiple physical, physiological, and behavioral traits. Energy expenditure could exhibit particularly high greater male variation through a cumulative effect if those traits mostly exhibit greater male variation, or a lack of greater male variation if many of them do not. Sex differences in energy expenditure variation have been little explored. We analyzed a large database on energy expenditure in adult humans (1494 males and 3108 females) to investigate whether humans have evolved s…

AdultMaleAgingDlwDLWArticleAffordable and Clean EnergyEnergeticsBehavioral and Social ScienceAnimalsHumansObesityEcology Evolution Behavior and SystematicsAgedMammalsSex CharacteristicsEvolutionary BiologyReproductionVDP::Matematikk og Naturvitenskap: 400Activity3141 Health care scienceArchaeologyAnthropologyBody CompositionFemaleTrait variabilityEnergy MetabolismBiological sex
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Associations of the MCM6-rs3754686 proxy for milk intake in Mediterranean and American populations with cardiovascular biomarkers, disease and mortal…

2016

Controversy persists on the association between dairy products, especially milk, and cardiovascular diseases (CVD). Genetic proxies may improve dairy intake estimations, and clarify diet-disease relationships through Mendelian randomization. We meta-analytically (n T (nonpersistence>persistence), dairy intake, and CVD biomarkers in American (Hispanics, African-American and Whites) and Mediterranean populations. Moreover, we analyzed longitudinal associations with milk, CVD and mortality in PREDIMED), a randomized Mediterranean diet (MedDiet) intervention trial (n = 7185). The MCM6-rs3754686/MCM6-rs309180 (as proxy), LP-allele (T) was strongly associated with higher milk intake, but inconsis…

MalealelosMediterranean dietMETABOLIC RISK-FACTORShumanosSINGLE-NUCLEOTIDE POLYMORPHISMComponente 6 del complejo de mantenimiento de minicromosomasDisease030204 cardiovascular system & hematologyMediterraneanAssociationsDiet MediterraneanMediterranean populationMCM6-rs37546860302 clinical medicineMedicineDisease030212 general & internal medicinemediana edadDAIRY CONSUMPTION2. Zero hungerancianoeducation.field_of_studyBioquímica y tecnologíaMultidisciplinarydietaMediterranean RegionHàbits alimentarisMendelian Randomization AnalysisMiddle AgedLlet3. Good healthBiochemistry and technologyBODY-WEIGHTCardiovascular diseasesMilkAmerican populationCardiovascular DiseasesMeta-analysisMarcadors bioquímicsFOOD-FREQUENCY QUESTIONNAIREFemaleLlet -- Aspectes nutricionalsGenetic MarkersFood habitsPopulationenfermedades cardiovascularesUNITED-STATESSistema cardiovascular malaltiesBioquímica i biotecnologiaArticleDIETleche03 medical and health sciencesSex Factors:Ciencias de la Salud::Medicina preventiva [Materias Investigacion]Sistema cardiovascular -- Malalties -- Aspectes genèticsEnvironmental healthMendelian randomizationMortalitatSNPAnimalsHumansPUERTO-RICANMortalityeducationMilk intakeLACTASE-PERSISTENCE PHENOTYPEAllelescardiovascular biomarkersAgedbusiness.industryMalalties cardiovascularsCardiovascular biomarkersmarcadores genéticosMendelian Randomization AnalysisMinichromosome Maintenance Complex Component 6United StatesDietBiotechnologyCardiovascular diseases (CVD)Lactase persistence2045-2322animalesanálisis de la aleatorización mendelianaDOSE-RESPONSE METAANALYSIS:Ciencias de la Salud::Endocrinología [Materias Investigacion]business
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Energy compensation and adiposity in humans

2021

Publisher Copyright: © 2021 The Authors Understanding the impacts of activity on energy balance is crucial. Increasing levels of activity may bring diminishing returns in energy expenditure because of compensatory responses in non-activity energy expenditures.1–3 This suggestion has profound implications for both the evolution of metabolism and human health. It implies that a long-term increase in activity does not directly translate into an increase in total energy expenditure (TEE) because other components of TEE may decrease in response—energy compensation. We used the largest dataset compiled on adult TEE and basal energy expenditure (BEE) (n = 1,754) of people living normal lives to fi…

Calorie030309 nutrition & dieteticsEnergy balanceRA773SDG 3 – Goede gezondheid en welzijnCardiovascularMedical and Health SciencesOral and gastrointestinalCompensation (engineering)RC12000302 clinical medicineWeight lossenergy compensationAdiposityCancer0303 health sciencesexerciseCONSTRAINTBiological SciencesStrokeIAEA DLW database groupEXERCISE PHYSICAL-ACTIVITYmedicine.symptomGeneral Agricultural and Biological SciencesINTERVENTIONSEnergy (esotericism)WEIGHT-LOSS030209 endocrinology & metabolismMASSBiologyArticleGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesAffordable and Clean EnergySDG 3 - Good Health and Well-beingTotal energy expenditureClinical Researchdaily energy expendituremedicineVDP::Matematikk og Naturvitenskap: 400::Basale biofag: 470HumansBASALObesityMetabolic and endocrineenergy management modelsNutritionHomo sapiensBIRDSactivityPsychology and Cognitive Sciencesmedicine.diseaseObesitytrade-offsMETABOLIC-RATESBasal metabolic ratebasal metabolic rate1182 Biochemistry cell and molecular biologyDemographic economics3111 Biomedicineweight lossEnergy MetabolismEnergy IntakeEXPENDITUREDevelopmental Biology
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Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990-2013: a systematic analysis for …

2015

Background Up-to-date evidence on levels and trends for age-sex-specific all-cause and cause-specific mortality is essential for the formation of global, regional, and national health policies. In the Global Burden of Disease Study 2013 (GBD 2013) we estimated yearly deaths for 188 countries between 1990, and 2013. We used the results to assess whether there is epidemiological convergence across countries. Methods We estimated age-sex-specific all-cause mortality using the GBD 2010 methods with some refinements to improve accuracy applied to an updated database of vital registration, survey, and census data. We generally estimated cause of death as in the GBD 2010. Key improvements included…

MaleAgingPediatricsNutrition and DiseaseDatabases FactualDisease030204 cardiovascular system & hematologyGlobal HealthMedical and Health SciencesDOUBLE-BLIND0302 clinical medicineAdolescent; Adult; Aged; Aged 80 and over; Cause of Death; Child; Child Mortality; Child Preschool; Databases Factual; Female; Global Health; Humans; Infant; Infant Newborn; Life Expectancy; Life Tables; Male; Middle Aged; Models Statistical; Mortality; Sex Distribution; Young AdultModelsVoeding en ZiekteCause of DeathEpidemiologyGlobal health80 and over2.2 Factors relating to the physical environmentLife Tables030212 general & internal medicineAetiologyChildINFLUENZAE TYPE-B11 Medical and Health SciencesCause of deathPediatricAged 80 and overPLACEBO-CONTROLLED-TRIALLife TableMortality rateMedicine (all)1. No povertyGeneral MedicineCHILDHOOD PNEUMONIAMiddle AgedStatistical3. Good healthInfectious DiseasesChild PreschoolPNEUMOCOCCAL CONJUGATE VACCINEChild MortalityFemaleInfectionLife Sciences & BiomedicineHumanAdultmedicine.medical_specialtyAdolescentINTEGRATED APPROACHCHILDREN YOUNGER187 COUNTRIESDatabase03 medical and health sciencesDatabasesYoung AdultMedicine General & InternalLife ExpectancyGeneral & Internal MedicinemedicineLife ScienceHumansMortalitySex DistributionPreschoolFactualVLAGAgedScience & TechnologyModels Statisticalbusiness.industryPreventionPOPULATION HEALTHInfant NewbornENTERIC MULTICENTERInfantGBD 2013 Mortality and Causes of Death CollaboratorsNewbornVerbal autopsyChild mortalityGood Health and Well BeingLife expectancyRISK-FACTORSbusiness2.4 Surveillance and distributionDemographyModel
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A standard calculation methodology for human doubly labeled water studies.

2021

Summary The doubly labeled water (DLW) method measures total energy expenditure (TEE) in free-living subjects. Several equations are used to convert isotopic data into TEE. Using the International Atomic Energy Agency (IAEA) DLW database (5,756 measurements of adults and children), we show considerable variability is introduced by different equations. The estimated rCO2 is sensitive to the dilution space ratio (DSR) of the two isotopes. Based on performance in validation studies, we propose a new equation based on a new estimate of the mean DSR. The DSR is lower at low body masses (<10 kg). Using data for 1,021 babies and infants, we show that the DSR varies non-linearly with body mass betw…

IndirectFuture studiesBODY-WATER030309 nutrition & dietetics[SDV]Life Sciences [q-bio]Body waterINFANTS030209 endocrinology & metabolismDoubly labeled watertotal energy expenditureCarbon dioxide productionCalorimetryOxygen IsotopesCalorimetryArticleGeneral Biochemistry Genetics and Molecular BiologyRC120003 medical and health sciences0302 clinical medicineTotal energy expendituredoubly labeled water; free-living; total energy expenditure; validationStatisticsINDIRECT CALORIMETRYRange (statistics)O-18HumansObesity(H2O)-H-2-O-18 METHODCARBON-DIOXIDE PRODUCTIONComputingMilieux_MISCELLANEOUSMathematicsCO2 PRODUCTIONH-2validation0303 health sciencesfree-livingDILUTION SPACE RATIOENERGY-EXPENDITUREWaterCalorimetry IndirectDeuterium6. Clean waterdoubly labeled waterDilutionIAEA DLW database groupBody Composition1182 Biochemistry cell and molecular biologyEnergy Metabolism
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Variation in human water turnover associated with environmental and lifestyle factors

2022

Water is essential for survival, but one in three individuals worldwide (2.2 billion people) lacks access to safe drinking water. Water intake requirements largely reflect water turnover (WT), the water used by the body each day. We investigated the determinants of human WT in 5604 people from the ages of 8 days to 96 years from 23 countries using isotope-tracking ( 2 H) methods. Age, body size, and composition were significantly associated with WT, as were physical activity, athletic status, pregnancy, socioeconomic status, and environmental characteristics (latitude, altitude, air temperature, and humidity). People who lived in countries with a low human development index (HDI) had highe…

AdultEnvironmental characteristicsAdolescentEconomic factorsDrinkingArticleYoung AdultSDG 6 – Schoon water en sanitaire voorzieningenPregnancyVDP::Matematikk og Naturvitenskap: 400::Basale biofag: 470Faculty of ScienceEnvironmental factors80 and overHumansAnthropometric factors/dk/atira/pure/core/keywords/TheFacultyOfScienceChildPreschoolLife StyleExerciseAgedAged 80 and overMultidisciplinaryWater/metabolismInfant NewbornInfantWaterHumidityMiddle AgedHuman water turnoverLifestyleNewbornDrinking/physiologySocial ClassChild PreschoolFemaleSDG 6 - Clean Water and SanitationScience
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