Patterns and correlates of physical activity in adult Norwegians: a forecasted evolution up to 2025 based on machine learning approach

scientific article published on 25 July 2018

Patterns and correlates of physical activity in adult Norwegians: a forecasted evolution up to 2025 based on machine learning approach is …
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scholarly articleQ13442814

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P6179Dimensions Publication ID1105837196
P356DOI10.1186/S12889-018-5854-2
P2888exact matchhttps://scigraph.springernature.com/pub.10.1186/s12889-018-5854-2
P932PMC publication ID6060515
P698PubMed publication ID30045712

P50authorGiovanna CalogiuriQ51009501
P2093author name stringAlessio Rossi
P2860cites workChanges in physical activity behavior and the development of body mass index during the last 30 years in NorwayQ80654603
Sedentary behavior and health outcomes: an overview of systematic reviewsQ27022664
Sedentary behaviour and cardiovascular disease: a review of prospective studiesQ28389503
Big Data and Disease Prevention: From Quantified Self to Quantified CommunitiesQ31116402
Why Do People Exercise in Natural Environments? Norwegian Adults' Motives for Nature-, Gym-, and Sports-Based Exercise.Q33616064
Where is the Theoretical Basis for Understanding and Measuring the Environment for Physical Activity?Q34964929
Sitting time and mortality from all causes, cardiovascular disease, and cancerQ34974295
Too much sitting: the population health science of sedentary behaviorQ36116053
An ecological approach to creating active living communitiesQ36419500
Is Green Exercise for All? A Descriptive Study of Green Exercise Habits and Promoting Factors in Adult NorwegiansQ37456017
Machine learning: Trends, perspectives, and prospectsQ38549184
Large-scale physical activity data reveal worldwide activity inequalityQ38686097
Television viewing time and mortality: the Australian Diabetes, Obesity and Lifestyle Study (AusDiab).Q44324854
Comparison of machine learning techniques with classical statistical models in predicting health outcomes.Q45966672
Development of body weight in the Norwegian populationQ47380772
P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P433issue1
P407language of work or nameEnglishQ1860
P921main subjectmachine learningQ2539
P304page(s)913
P577publication date2018-07-25
P1433published inBMC Public HealthQ15767009
P1476titlePatterns and correlates of physical activity in adult Norwegians: a forecasted evolution up to 2025 based on machine learning approach
P478volume18

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Q92070555Do "Girls Just Wanna Have Fun?" Participation Trends and Motivational Profiles of Women in the Birkebeiner Races, Norway's Ultimate Mass Participation Ski Eventcites workP2860

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