연구동향 분석

Breastfeeding and Sarcopenia in Later Life

Jungun Lee 2019년

논문상세정보
    • 저자 Jungun Lee
    • 제어번호 106855087
    • 학술지명 Korean Journal of Family Medicine
    • 권호사항 Vol. 40 No. 3 [ 2019 ]
    • 발행처 대한가정의학회
    • 발행처 URL http://www.kafm.or.kr
    • 자료유형 학술저널
    • 수록면 133-134
    • 언어 English
    • 출판년도 2019
    • 등재정보 KCI등재
    • 판매처
    유사주제 논문( 0)
인용/피인용

' Breastfeeding and Sarcopenia in Later Life' 의 참고문헌

  • Trends of Breastfeeding Rate in Korea (1994-2012): Comparison with OECD and Other Countries
    정성훈 [2013]
  • The long-term public health benefits of breastfeeding
    Binns C [2016]
  • Sarcopenic obesity : a new category of obesity in the elderly
    Zamboni M [2008]
  • Sarcopenia Is Not Associated with Depression in Korean Adults: Results from the 2010–2011 Korean National Health and Nutrition Examination Survey
  • Objectively measured physical capability levels and mortality: systematic review and meta-analysis
    Cooper R [2010]
  • Duration of lactation and risk factors for maternal cardiovascular disease
    Schwarz EB [2009]
  • Associations of Breastfeeding Duration and Reproductive Factors with Sarcopenia in Elderly Korean Women: A Cross-Sectional Study from the Korea National Health and Nutrition Examination Survey 2010–2011
  • Association of Coffee Consumption with Sarcopenia in Korean Elderly Men: Analysis Using the Korea National Health and Nutrition Examination Survey, 2008–2011
    정혜원 [2017]
  • Association between Sleep Duration and Body Composition Measures in Korean Adults: The Korea National Health and Nutrition Examination Survey 2010
    김령희 [2018]
  • Association between Sarcopenia and Dipstick Proteinuria in the Elderly Population: The Korea National Health and Nutrition Examination Surveys 2009–2011
    황두나 [2017]
  • Association between Cigarette Smoking and Sarcopenia according to Obesity in the Middle-Aged and Elderly Korean Population: The Korea National Health and Nutrition Examination Survey (2008–2011)
    Yoonjoo Jo [2019]
  • A tutorial on propensity score estimation for multiple treatments using generalized boosted models