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Journal Abstract Search
378 related items for PubMed ID: 26800891
1. Association of household income and education with eating behaviors in Japanese adults: a cross-sectional study. Nakamura S, Inayama T, Hata K, Matsushita M, Takahashi M, Harada K, Arao T. BMC Public Health; 2016 Jan 22; 16():61. PubMed ID: 26800891 [Abstract] [Full Text] [Related]
2. Subjective Well-Being Is Associated with Food Behavior and Demographic Factors in Chronically Ill Older Japanese People Living Alone. Ishikawa M, Yokoyama T, Hayashi F, Takemi Y, Nakaya T, Fukuda Y, Kusama K, Nozue M, Yoshiike N, Murayama N. J Nutr Health Aging; 2018 Jan 22; 22(3):341-353. PubMed ID: 29484347 [Abstract] [Full Text] [Related]
3. Effect of socioeconomic conditions on health care utilization in marital violence: a cross-sectional investigation from the Japanese Study on Stratification, Health, Income, and Neighborhood. Umeda M, Kawakami N, Miller E. Int J Equity Health; 2017 Feb 28; 16(1):41. PubMed ID: 28241821 [Abstract] [Full Text] [Related]
4. Associations of eHealth Literacy With Health Behavior Among Adult Internet Users. Mitsutake S, Shibata A, Ishii K, Oka K. J Med Internet Res; 2016 Jul 18; 18(7):e192. PubMed ID: 27432783 [Abstract] [Full Text] [Related]
5. Socioeconomic position and work, travel, and recreation-related physical activity in Japanese adults: a cross-sectional study. Matsushita M, Harada K, Arao T. BMC Public Health; 2015 Sep 18; 15():916. PubMed ID: 26385476 [Abstract] [Full Text] [Related]
6. [Association of vegetable intake with dietary behaviors, attitudes, knowledge, and social support among the middle-aged Japanese population]. Ozawa K, Takemi Y, Eto K, Iwama N. Nihon Koshu Eisei Zasshi; 2018 Sep 18; 65(10):589-601. PubMed ID: 30381703 [Abstract] [Full Text] [Related]
7. Associations between eating occasion characteristics and age, gender, presence of children and BMI among U.S. adults. Reicks M, Degeneffe D, Rendahl A, Smith Edge M, Burns K, O'Meara B, Blevins G. J Am Coll Nutr; 2014 Sep 18; 33(4):315-27. PubMed ID: 25140673 [Abstract] [Full Text] [Related]
8. Education, but not occupation or household income, is positively related to favorable dietary intake patterns in pregnant Japanese women: the Osaka Maternal and Child Health Study. Murakami K, Miyake Y, Sasaki S, Tanaka K, Ohya Y, Hirota Y, Osaka Maternal and Child Health Study Group. Nutr Res; 2009 Mar 18; 29(3):164-72. PubMed ID: 19358930 [Abstract] [Full Text] [Related]
9. Sociodemographic characteristics and frequency of consuming home-cooked meals and meals from out-of-home sources: cross-sectional analysis of a population-based cohort study. Mills S, Adams J, Wrieden W, White M, Brown H. Public Health Nutr; 2018 Aug 18; 21(12):2255-2266. PubMed ID: 29637874 [Abstract] [Full Text] [Related]
10. [Change of awareness level of the Japanese Food Guide Spinning Top and relation with sociodemographic and health-related characteristics]. Takaizumi K, Harada K, Nakamura Y. Nihon Koshu Eisei Zasshi; 2011 Nov 18; 58(11):948-58. PubMed ID: 22352067 [Abstract] [Full Text] [Related]
11. Diet quality of Japanese adults with respect to age, sex, and income level in the National Health and Nutrition Survey, Japan. Kurotani K, Ishikawa-Takata K, Takimoto H. Public Health Nutr; 2020 Apr 18; 23(5):821-832. PubMed ID: 31736456 [Abstract] [Full Text] [Related]
12. Household income and medical help-seeking for fertility problems among a representative population in Japan. Iba A, Maeda E, Jwa SC, Yanagisawa-Sugita A, Saito K, Kuwahara A, Saito H, Terada Y, Ishihara O, Kobayashi Y. Reprod Health; 2021 Aug 03; 18(1):165. PubMed ID: 34344417 [Abstract] [Full Text] [Related]
13. Social Inequalities in Young Children's Meal Skipping Behaviors: The Generation R Study. Wijtzes AI, Jansen W, Jaddoe VW, Franco OH, Hofman A, van Lenthe FJ, Raat H. PLoS One; 2015 Aug 03; 10(7):e0134487. PubMed ID: 26225757 [Abstract] [Full Text] [Related]
14. [Evaluation of the relationship between household economic situation and food group intake in children attending nursery school]. Sakai A, Yoshita K, Takahashi T, Okabe T, Sasaki R, Ishida H, Ogata H, Hara M, Yoshioka Y, Nozue M, Sakamoto T, Ito S, Murayama N. Nihon Koshu Eisei Zasshi; 2024 Apr 25; 71(4):220-230. PubMed ID: 38267047 [Abstract] [Full Text] [Related]
15. Fertility differentials in rural Sierra Leone: demographic and socioeconomic effects. Bailey M, Serow WJ. Genus; 1991 Apr 25; 47(3-4):171-82. PubMed ID: 12285501 [Abstract] [Full Text] [Related]
16. Food preparation supplies predict children's family meal and home-prepared dinner consumption in low-income households. Appelhans BM, Waring ME, Schneider KL, Pagoto SL. Appetite; 2014 May 25; 76():1-8. PubMed ID: 24462491 [Abstract] [Full Text] [Related]
17. Lower-energy-density diets are associated with higher monetary costs per kilocalorie and are consumed by women of higher socioeconomic status. Monsivais P, Drewnowski A. J Am Diet Assoc; 2009 May 25; 109(5):814-22. PubMed ID: 19394467 [Abstract] [Full Text] [Related]
18. Household Food Insecurity Is Not Associated with Overall Diet Quality Among Pregnant Women in NHANES 1999-2008. Gamba R, Leung CW, Guendelman S, Lahiff M, Laraia BA. Matern Child Health J; 2016 Nov 25; 20(11):2348-2356. PubMed ID: 27406151 [Abstract] [Full Text] [Related]
19. Breakfast consumption and depressive mood: A focus on socioeconomic status. Lee SA, Park EC, Ju YJ, Lee TH, Han E, Kim TH. Appetite; 2017 Jul 01; 114():313-319. PubMed ID: 28400301 [Abstract] [Full Text] [Related]
20. Trends of socioeconomic differences in daily vegetable consumption, 1979-2002. Roos E, Talala K, Laaksonen M, Helakorpi S, Rahkonen O, Uutela A, Prättälä R. Eur J Clin Nutr; 2008 Jul 01; 62(7):823-33. PubMed ID: 17522606 [Abstract] [Full Text] [Related] Page: [Next] [New Search]