A Pre and Post Survey to Determine Effectiveness of a Dietitian-Based Nutrition Education Strategy on Fruit and Vegetable Intake and Energy Intake among Adults

Pem, Dhandevi; Bhagwant, S.; Jeewon, Rajesh

doi:10.3390/nu8030127

Cited by 18 publications

(17 citation statements)

References 46 publications

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“…Recently Pem et al [64] also reported a significant increase in fruit intake but no intervention effect for vegetable intake. The differing results among the intervention studies may be explained by the fact that fruit and vegetable intake are influenced by factors like regional differences, education, income, and knowledge, but also fruit and vegetable consumption depends on the sensory appeal, time constraints, familiarity, and availability and accessibility [65]. Gough et al [66] reported a decrease of 1.3 kg in weight and a decrease of 0.5 kg·m −2 in body mass index at 3 months follow up which, however, was not sustained at 12 months’ post intervention.…”

Section: Discussionmentioning

confidence: 99%

Is a Nutrition Education Intervention Associated with a Higher Intake of Fruit and Vegetables and Improved Nutritional Knowledge among Housewives in Mauritius?

et al. 2016

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The purpose of the study was to assess the determinants of nutrition behaviors and body mass index and determine the impact of a nutrition education intervention (NEI) among Mauritian housewives. A pretest-posttest design was used assessing Nutrition Knowledge (NK), Nutrition Attitudes, Fruit and Vegetable Intake (FVI), body mass index (BMI). Two hundred Mauritian housewives were recruited. The NEI was in the form of a lecture and lasted for twenty minutes. Statistical tests performed revealed that the mean NK score at baseline was 65.8 ± 6.92 and a significant increase of +17.1 at post-test and +16.1 at follow-up was observed. Determinants of NK were age, presence of elderly people, and BMI. Mean nutrition attitude score at baseline was 2.37 ± 0.22 with significant increase of +0.2 (post-test) and +0.17 at follow-up. Age, level of education, presence of elders, and NK were linked to a positive attitude. FVI was predicted by age, income, presence of elders, NK, and nutrition attitudes. Baseline FVI was 4.77 ± 1.11 which increased significantly (p < 0.001) to 4.98 ± 1.13 at post-test and 5.03 ± 1.20 at follow up. NEI had a positive impact suggesting the benefits of such intervention in the promotion of healthy nutrition behaviors.

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Section: Discussionmentioning

confidence: 99%

Is a Nutrition Education Intervention Associated with a Higher Intake of Fruit and Vegetables and Improved Nutritional Knowledge among Housewives in Mauritius?

et al. 2016

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“…In fact, in most of these campaigns, improving nutrition knowledge is a target to favour better dietary intakes within the population (3) . In that context, nutrition knowledge is therefore an important indicator to measure the impact of these public health interventions (7)(8)(9) .…”

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Development and validation of a nutrition knowledge questionnaire for a Canadian population

Bradette-Laplante

Carbonneau

Provencher

et al. 2016

Public Health Nutr.

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Objective: The aim of this study was to develop and validate a nutrition knowledge questionnaire in a $$" sample of French Canadians from the province of Quebec, taking into account dietary guidelines. $%"Design: A 38-item questionnaire was developed by the research team and evaluated for content validityby an expert panel, and then administered to respondents. Face validity and construct validity were $'" measured in a pretest. Exploratory factor analysis and covariance structure analysis were performed to $(" verify the structure of the questionnaire and identify problematic items. Internal consistency and test-retest reliability were evaluated through a validation study. $*"Setting: Online survey %+"Subjects: Six nutrition and psychology experts, fifteen registered dietitians (RDs) and 180 lay people %!" participated in the study. %#"Results: Content validity evaluation resulted in the removal of two items and reformulation of one item. %$"Following face validity, one item was reformulated. Construct validity was found to be adequate, with %%"higher scores for RDs when compared non-RDs (21.5/24 (SD=2.1) vs 15.7/24 (SD=3.0), p<0.001). %&"Exploratory factor analysis revealed that the questionnaire contained only one factor. Covariance %'" structure analysis led to removal of 16 items. Internal consistency for the overall questionnaire was %(" adequate (Cronbach alpha coefficient = 0.73). Assessment of test-retest reliability resulted in %)" significant associations for the total knowledge score (r=0.59, p<0.001).

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“…This may be due to a greater desire to lose weight among women and older adults being more time rich than younger adults. In addition, individuals with greater motivation to be healthy and to participate in nutrition interventions may be more knowledgeable about the benefits of healthy eating (35) . Similarly, of the 5662 individuals who expressed an interest in participating in the Food4Me Study, 65 % were women (9) .…”

Section: Discussionmentioning

confidence: 99%

Characteristics of participants who benefit most from personalised nutrition: findings from the pan-European Food4Me randomised controlled trial

et al. 2020

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Little is known about who would benefit from Internet-based personalised nutrition (PN) interventions. This study aimed to evaluate the characteristics of participants who achieved greatest improvements (i.e. benefit) in diet, adiposity and biomarkers following an Internet-based PN intervention. Adults (n 1607) from seven European countries were recruited into a 6-month, randomised controlled trial (Food4Me) and randomised to receive conventional dietary advice (control) or PN advice. Information on dietary intake, adiposity, physical activity (PA), blood biomarkers and participant characteristics was collected at baseline and month 6. Benefit from the intervention was defined as ≥5 % change in the primary outcome (Healthy Eating Index) and secondary outcomes (waist circumference and BMI, PA, sedentary time and plasma concentrations of cholesterol, carotenoids and omega-3 index) at month 6. For our primary outcome, benefit from the intervention was greater in older participants, women and participants with lower HEI scores at baseline. Benefit was greater for individuals reporting greater self-efficacy for ‘sticking to healthful foods’ and who ‘felt weird if [they] didn’t eat healthily’. Participants benefited more if they reported wanting to improve their health and well-being. The characteristics of individuals benefiting did not differ by other demographic, health-related, anthropometric or genotypic characteristics. Findings were similar for secondary outcomes. These findings have implications for the design of more effective future PN intervention studies and for tailored nutritional advice in public health and clinical settings.

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A Pre and Post Survey to Determine Effectiveness of a Dietitian-Based Nutrition Education Strategy on Fruit and Vegetable Intake and Energy Intake among Adults

Cited by 18 publications

References 46 publications

Is a Nutrition Education Intervention Associated with a Higher Intake of Fruit and Vegetables and Improved Nutritional Knowledge among Housewives in Mauritius?

Is a Nutrition Education Intervention Associated with a Higher Intake of Fruit and Vegetables and Improved Nutritional Knowledge among Housewives in Mauritius?

Development and validation of a nutrition knowledge questionnaire for a Canadian population

Characteristics of participants who benefit most from personalised nutrition: findings from the pan-European Food4Me randomised controlled trial

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