Affiliations 

  • 1 School of Social Sciences, Nanyang Technological University, 639818, Singapore; Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR), 138632, Singapore; Singapore Institute for Clinical Sciences (A*STAR), Agency for Science, Technology and Research (A*STAR), Singapore, 117599. Electronic address: pinkae@ihpc.a-star.edu.sg
  • 2 School of Social Sciences, Nanyang Technological University, 639818, Singapore. Electronic address: leeliling@ntu.edu.sg
  • 3 Lee Kong Chian School of Medicine, Nanyang Technological University, 636921, Singapore. Electronic address: dorrain.low@ntu.edu.sg
  • 4 Physical Education and Sports Science, National Institute of Education (NIE), Nanyang Technological University, 637616, Singapore; Office of Education Research, National Institute of Education (NIE), Nanyang Technological University, 637616, Singapore. Electronic address: yifan.yang@nie.edu.sg
  • 5 Lee Kong Chian School of Medicine, Nanyang Technological University, 636921, Singapore. Electronic address: laiguan.fong@ntu.edu.sg
  • 6 Lee Kong Chian School of Medicine, Nanyang Technological University, 636921, Singapore. Electronic address: paekyha@nus.edu.sg
  • 7 Lee Kong Chian School of Medicine, Nanyang Technological University, 636921, Singapore. Electronic address: peijia001@gmail.com
  • 8 Lee Kong Chian School of Medicine, Nanyang Technological University, 636921, Singapore. Electronic address: eeppnyjp@gmail.com
  • 9 Lee Kong Chian School of Medicine, Nanyang Technological University, 636921, Singapore; Singapore Phenome Centre (SPC), Nanyang Technological University, 636921, Singapore. Electronic address: yulan.wang@ntu.edu.sg
  • 10 Cognitive Neuroimaging Centre (CONIC), Nanyang Technological University, 636921, Singapore. Electronic address: ppadmanabhan@ntu.edu.sg
  • 11 Commonwealth Scientific and Industrial Research Organisation (CSIRO) Health and Biosecurity, Adelaide, South Australia, 5001, Australia. Electronic address: lynne.cobiac@csiro.au
  • 12 Lee Kong Chian School of Medicine, Nanyang Technological University, 636921, Singapore; Cognitive Neuroimaging Centre (CONIC), Nanyang Technological University, 636921, Singapore; Department of Clinical Neuroscience, Karolinska Institutet, 171 77, Stockholm, Sweden. Electronic address: balazs.gulyas@ntu.edu.sg
  • 13 Lee Kong Chian School of Medicine, Nanyang Technological University, 636921, Singapore; Department of Neurobiology, Care and Society, Karolinska Institutet, 171 77, Stockholm, Sweden; National Neuroscience Institute, Tan Tock Seng Hospital, 308433, Singapore; Sunway University, Faculty of Medical Sciences, Kuala Lumpur, 47500, Malaysia. Electronic address: sven.pettersson@ki.se
  • 14 Eunice Kennedy Shriver National Institute for Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA, 20847. Electronic address: bobby.cheon@nih.gov
Appetite, 2023 Jan 01;180:106361.
PMID: 36332849 DOI: 10.1016/j.appet.2022.106361

Abstract

Portion size selection is an indicator of appetite and within younger adults, is predicted by factors such as expected satiety, liking and motivations to achieve an ideal sensation of fullness (i.e., implicit satiety goals). Currently, there is limited research available on the determinants of portion size selection within older adults. Therefore, the current study aimed to examine the relationship between individual differences in implicit satiety goals, food-related expectations, and portion size selection in older adults. Free-living older adult Singaporeans (N = 115; Nmales = 62; age: M = 66.21 years, SD = 4.78, range = 60-83 years) participated as part of the Brain, Ageing, Microbiome, Muscle, Bone, and Exercise Study (BAMMBE). Participants completed questionnaires on their subjective requirements for experiencing different states of satiety and food-related expectations (i.e., liking, how filling) as well as a computerised portion size selection task. Using a multiple regression, we found that goals to feel comfortably full (B = 3.08, SE = 1.04, t = 2.96, p = .004) and to stop hunger (B = -2.25, SE = 0.82, t = -2.75, p = .007) significantly predicted larger portion size selection (R2 = 0.24, F(4,87) = 6.74, p 

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.