Nutrition Knowledge, Food Label Use, and Food Intake Patterns among Latinas with and without Type 2 Diabetes

688

693

Section: Income/educationmentioning

confidence: 99%

“…The impact of nutrition labels on diet Observational studies have consistently found an association between use of nutrition labels and healthier diets (70)(71)(72)82,103,140,141) . Several studies have reported an association between label use and lower fat consumption (70)(71)(72)82,140,141) .…”

Section: Label Format and Contentmentioning

confidence: 99%

Nutrition labels on pre-packaged foods: a systematic review

Campos

Doxey

Hammond

2011

688

693

“…On the one hand, it was assessed as self-reported knowledge ('subjective knowledge') and on the other hand as a score on a short knowledge scale ('objective knowledge'). We chose to measure these two aspects of knowledge as both have been shown to be important for label use (6,15,18) .…”

Section: Questionnairementioning

confidence: 99%

“…Some studies point in this direction as they showed no effect of nutrition knowledge on the probability of label use (7,9,10) . However, this might not be the only way in which nutrition knowledge can interact with label use because other studies suggest that nutrition knowledge is positively associated with label use (6,(13)(14)(15)18) . Thus, having high nutrition knowledge might reflect a basic interest in healthy eating and could, therefore, be associated with even more label use.…”

mentioning

confidence: 97%

The role of health-related, motivational and sociodemographic aspects in predicting food label use: a comprehensive study

Hess

Visschers

Siegrist

2011

Objective: Previous studies focused on a limited number of determinants of food label use. We therefore tested a comprehensive model of food label use consisting of sociodemographic, health-related and motivating variables. These three predictor groups were chosen based on the previous literature and completed with new predictors not yet examined in a comprehensive study of frequency of label use. Design: We sent questionnaires to a random sample of households in the Germanspeaking part of Switzerland. Setting: The respondents filled in the questionnaire at home and returned it by mail. Subjects: We analysed the data of 1162 filled-in questionnaires (response rate 5 38 %). Of the respondents, 637 were women (55 %), and their mean age was 53?54 (SD 15?68) years. Results: Health-related variables were the most important group of predictors of label use, followed by motivating factors and sociodemographic variables. Placing importance on health, healthy eating and nutritional value of food, perceived vulnerability for diet-related diseases, nutrition knowledge, numeracy and gender were positively associated with frequency of food label use whereas shopping habits and seeing eating as something positive were negative predictors of frequency of label use. Conclusions: People's health consciousness should be raised in order to increase the frequency of food label use. Furthermore, it should be stressed that reading labels and keeping a healthy diet do not contradict 'good eating', and that both of these aspects can be combined with the help of food labels. Keywords Food label Nutrition table Comprehensive model Predictors of food label useNutrition labels on food products are often praised as an important instrument for health promotion and prevention of diseases associated with overweight and obesity (1)(2)(3)(4) . To find out how this preventive strategy can be used optimally and where the potential starting points for further improvement could be, it is very important to understand what determines use of food labels. This knowledge would help public health communicators to decide to whom and how they need to promote food label use. However, to our knowledge, existing studies investigating food label use have focused mainly on either sociodemographic and economic variables or on health-related factors. No study has systematically included factors inhibiting label use. The aims of the present study were, therefore, to provide a comprehensive framework of determinants of nutrition label use and to shed light on the motivators and inhibitors of nutrition label use. Thereby, we paid attention to three groups of potential determinants of label use: (i) a person's sociodemographic and economic background; (ii) healthrelated aspects; and (iii) factors which discourage people from using food labels (see Fig. 1). We now discuss the relevant factors of each of these three determinants, based on previous studies. One difficulty of studying label use is the number of different labels in the different international marke...

“…Confidence in ability to shop for healthy foods remained significant relative to all other factors, suggesting this may be a key avenue to promotion of healthier eating. The skills required for healthy shopping are underappreciated, as not everyone has the nutritional knowledge or ability to understand food labels (37,38) . Furthermore, financial and time pressures may lead to food purchasers choosing less healthy alternatives, even when shopping in a supermarkets, as they believe these are cheaper options and quicker to prepare (16,39) .…”

Section: Discussionmentioning

confidence: 99%

Barriers to avoiding fast-food consumption in an environment supportive of unhealthy eating

Thornton

Jeffery

Crawford

2012

Objective: To investigate factors (ability, motivation and the environment) that act as barriers to limiting fast-food consumption in women who live in an environment that is supportive of poor eating habits. Design: Cross-sectional study using self-reports of individual-level data and objectively measured environmental data. Multilevel logistic regression was used to assess factors associated with frequency of fast-food consumption. Setting: Socio-economically disadvantaged areas in metropolitan Melbourne, Australia. Subjects: Women (n 932) from thirty-two socio-economically disadvantaged neighbourhoods living within 3 km of six or more fast-food restaurants. Women were randomly sampled in 2007-2008 as part of baseline data collection for the Resilience for Eating and Activity Despite Inequality (READI) study. Results: Consuming low amounts of fast food was less likely in women with lower perceived ability to shop for and cook healthy foods, lower frequency of family dining, lower family support for healthy eating, more women acquaintances who eat fast food regularly and who lived further from the nearest supermarket. When modelled with the other significant factors, a lower perceived shopping ability, mid levels of family support and living further from the nearest supermarket remained significant. Among those who did not perceive fruits and vegetables to be of high quality, less frequent fast-food consumption was further reduced for those with the lowest confidence in their shopping ability. Conclusions: Interventions designed to improve women's ability and opportunities to shop for healthy foods may be of value in making those who live in high-risk environments better able to eat healthily.