Nutrition information on food labels is an important source of nutrition information but is typically underutilized by consumers. This review examined whether consumer nutrition knowledge is important for communication of nutrition information through labels on packaged foods. A cognitive processing model posits that consumers with prior knowledge are more likely to use label information effectively, that is, focus on salient information, understand information, and make healthful decisions based on this information. Consistent with this model, the review found that nutrition knowledge provides support for food label use. However, nutrition knowledge measures varied widely in terms of the dimensions they included and the extensiveness of the assessment. Relatively few studies investigated knowledge effects on the use of ingredient lists and claims, compared to nutrition facts labels. We also found an overreliance on convenience samples relying on younger adults, limiting our understanding of how knowledge supports food label use in later life. Future research should 1) investigate which dimensions, or forms, of nutrition knowledge are most critical to food label use and dietary decision making and 2) determine whether increases in nutrition knowledge can promote great use of nutrition information on food labels.

Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet

Objectives: The Internet holds great potential to support information gathering and decision making surrounding health education and self-care. Older adults, however, underutilize the Internet for health information searches relative to younger adults. The goal of the present study was to examine age differences in the role of trust and ease of search in predicting whether or not individuals use (adopters) or do notuse (nonadopters) the Internet to search for health information. Method: We used logistic regressions todetermine whether there were age differences in the extent to which trust and ease of search predicted online health information searches within a nationally-representative sample of 3796 adults from the Health Information National Trends Survey (HINTS). Results: Adopters were more trusting of Internet health informationthan nonadopters. However, a significant age by trust interaction indicated that this difference increased in magnitude with age, a pattern that held even after controlling for demographic and health variables. Conclusions: Older adults may benefit from special instructions designed to boost Internet trust, for example, learning how to distinguish between high and low quality health-related websites.

An adult developmental model of self-regulated language processing (SRLP) is introduced, in which the allocation policy with which a reader engages text is driven by declines in processing capacity, growth in knowledge-based processes, and age-related shifts in reading goals. Evidence is presented to show that the individual reader's allocation policy is consistent across time and across different types of text, can serve a compensatory function in relation to abilities, and is predictive of subsequent memory performance. As such, it is an important facet of language understanding and learning from text through the adult life span.

Young and older adults read a series of passages of 3 different genres for an immediate assessment of text memory (measured by recall and true/false questions). Word-by-word reading times were measured and decomposed into components reflecting resource allocation to particular linguistic processes using regression. Allocation to word and textbase processes showed some consistency across the 3 text types and was predictive of memory performance. Older adults allocated more time to word and textbase processes than the young adults did but showed enhanced contextual facilitation. Structural equation modeling showed that greater resource allocation to word processes was required among readers with relatively low working memory spans and poorer verbal ability and that greater resource allocation to textbase processes was engendered by higher verbal ability. Results are discussed in terms of a model of self-regulated language processing suggesting that older readers may compensate for processing deficiencies through greater reliance on discourse context and on increases in resource allocation that are enabled through growth in crystallized ability.