Weight loss in humans in space. 2011

Akiko Matsumoto, and Kenneth J Storch, and Adrienne Stolfi, and Stanley R Mohler, and Mary Anne Frey, and T Peter Stein
Japan Aerospace Exploration Agency, Tsukuba, Japan. matsumoto.akiko@jaxa.jp

BACKGROUND Bodyweight loss during spaceflight has been observed among astronauts since the early space missions. Considerable mission data has been accumulated, including data from female astronauts, on the many Shuttle and International Space Station missions. The purpose of this study was to investigate the association between observed weight loss during spaceflight and potential covariate factors. METHODS We performed a statistical analysis of the association between bodyweight change and plausible clinical and mission covariates, using data obtained from the NASA Longitudinal Study of Astronaut Health (LSAH). RESULTS We confirmed that spaceflight is associated with weight change (-2.1 +/- 0.1%, N = 514). Prospective predictors of weight loss included: being a first-time astronaut, preflight bodyweight and BMI, routinely performing preflight exercise sessions lasting greater than 1 h, and baseline levels of cholesterol, potassium, and chloride. Severe space motion sickness was significantly associated with greater weight loss. Unexpectedly, a higher number of extravehicular activities per mission protected against weight loss. Mission duration had the strongest association with bodyweight change (-2.4 +/- 0.4% per 100 d in space). CONCLUSIONS On average, space missions are associated with cumulative loss of bodyweight over time. Unless effective countermeasures are implemented, significant weight loss will be a likely outcome in a subset of astronauts as mission durations increase. New predictors of intra-mission bodyweight changes and other associated factors are identified.

UI MeSH Term Description Entries
D008137 Longitudinal Studies Studies in which variables relating to an individual or group of individuals are assessed over a period of time. Bogalusa Heart Study,California Teachers Study,Framingham Heart Study,Jackson Heart Study,Longitudinal Survey,Tuskegee Syphilis Study,Bogalusa Heart Studies,California Teachers Studies,Framingham Heart Studies,Heart Studies, Bogalusa,Heart Studies, Framingham,Heart Studies, Jackson,Heart Study, Bogalusa,Heart Study, Framingham,Heart Study, Jackson,Jackson Heart Studies,Longitudinal Study,Longitudinal Surveys,Studies, Bogalusa Heart,Studies, California Teachers,Studies, Jackson Heart,Studies, Longitudinal,Study, Bogalusa Heart,Study, California Teachers,Study, Longitudinal,Survey, Longitudinal,Surveys, Longitudinal,Syphilis Studies, Tuskegee,Syphilis Study, Tuskegee,Teachers Studies, California,Teachers Study, California,Tuskegee Syphilis Studies
D008297 Male Males
D003710 Demography Statistical interpretation and description of a population with reference to distribution, composition, or structure. Demographer,Demographic,Demographic and Health Survey,Population Distribution,Accounting, Demographic,Analyses, Demographic,Analyses, Multiregional,Analysis, Period,Brass Technic,Brass Technique,Demographers,Demographic Accounting,Demographic Analysis,Demographic Factor,Demographic Factors,Demographic Impact,Demographic Impacts,Demographic Survey,Demographic Surveys,Demographic and Health Surveys,Demographics,Demography, Historical,Demography, Prehistoric,Factor, Demographic,Factors, Demographic,Family Reconstitution,Historical Demography,Impact, Demographic,Impacts, Demographic,Multiregional Analysis,Period Analysis,Population Spatial Distribution,Prehistoric Demography,Reverse Survival Method,Stable Population Method,Survey, Demographic,Surveys, Demographic,Analyses, Period,Analysis, Demographic,Analysis, Multiregional,Demographic Analyses,Demographies, Historical,Demographies, Prehistoric,Distribution, Population,Distribution, Population Spatial,Distributions, Population,Distributions, Population Spatial,Family Reconstitutions,Historical Demographies,Method, Reverse Survival,Method, Stable Population,Methods, Reverse Survival,Methods, Stable Population,Multiregional Analyses,Period Analyses,Population Distributions,Population Methods, Stable,Population Spatial Distributions,Prehistoric Demographies,Reconstitution, Family,Reconstitutions, Family,Reverse Survival Methods,Spatial Distribution, Population,Spatial Distributions, Population,Stable Population Methods,Technic, Brass,Technique, Brass
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000704 Analysis of Variance A statistical technique that isolates and assesses the contributions of categorical independent variables to variation in the mean of a continuous dependent variable. ANOVA,Analysis, Variance,Variance Analysis,Analyses, Variance,Variance Analyses
D000886 Anthropometry The technique that deals with the measurement of the size, weight, and proportions of the human or other primate body.
D012307 Risk Factors An aspect of personal behavior or lifestyle, environmental exposure, inborn or inherited characteristic, which, based on epidemiological evidence, is known to be associated with a health-related condition considered important to prevent. Health Correlates,Risk Factor Scores,Risk Scores,Social Risk Factors,Population at Risk,Populations at Risk,Correlates, Health,Factor, Risk,Factor, Social Risk,Factors, Social Risk,Risk Factor,Risk Factor Score,Risk Factor, Social,Risk Factors, Social,Risk Score,Score, Risk,Score, Risk Factor,Social Risk Factor
D013026 Space Flight Travel beyond the earth's atmosphere. Space Exploration,Space Travel,Spaceflight,Exploration, Space,Explorations, Space,Flight, Space,Flights, Space,Space Explorations,Space Flights,Space Travels,Spaceflights,Travel, Space,Travels, Space
D013997 Time Factors Elements of limited time intervals, contributing to particular results or situations. Time Series,Factor, Time,Time Factor

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