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Study protocol for a pragmatic cluster randomized controlled trial to improve dietary diversity and physical fitness among older people who live at home (the "ALAPAGE study").
Bocquier, A, Jacquemot, AF, Dubois, C, Tréhard, H, Cogordan, C, Maradan, G, Cortaredona, S, Fressard, L, Davin-Casalena, B, Vinet, A, et al
BMC geriatrics. 2022;(1):643
Abstract
BACKGROUND Diet and physical activity are key components of healthy aging. Current interventions that promote healthy eating and physical activity among the elderly have limitations and evidence of French interventions' effectiveness is lacking. We aim to assess (i) the effectiveness of a combined diet/physical activity intervention (the "ALAPAGE" program) on older peoples' eating behaviors, physical activity and fitness levels, quality of life, and feelings of loneliness; (ii) the intervention's process and (iii) its cost effectiveness. METHODS We performed a pragmatic cluster randomized controlled trial with two parallel arms (2:1 ratio) among people ≥60 years old who live at home in southeastern France. A cluster consists of 10 people participating in a "workshop" (i.e., a collective intervention conducted at a local organization). We aim to include 45 workshops randomized into two groups: the intervention group (including 30 workshops) in the ALAPAGE program; and the waiting-list control group (including 15 workshops). Participants (expected total sample size: 450) will be recruited through both local organizations' usual practices and an innovative active recruitment strategy that targets hard-to-reach people. We developed the ALAPAGE program based on existing workshops, combining a participatory and a theory-based approach. It includes a 7-week period with weekly collective sessions supported by a dietician and/or an adapted physical activity professional, followed by a 12-week period of post-session activities without professional supervision. Primary outcomes are dietary diversity (calculated using two 24-hour diet recalls and one Food Frequency Questionnaire) and lower-limb muscle strength (assessed by the 30-second chair stand test from the Senior Fitness Test battery). Secondary outcomes include consumption frequencies of main food groups and water/hot drinks, other physical fitness measures, overall level of physical activity, quality of life, and feelings of loneliness. Outcomes are assessed before the intervention, at 6 weeks and 3 months later. The process evaluation assesses the fidelity, dose, and reach of the intervention as its causal mechanisms (quantitative and qualitative data). DISCUSSION This study aims to improve healthy aging while limiting social inequalities. We developed and evaluated the ALAPAGE program in partnership with major healthy aging organizations, providing a unique opportunity to expand its reach. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT05140330 , December 1, 2021. PROTOCOL VERSION Version 3.0 (November 5, 2021).
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Co-construction and Evaluation of a Prevention Program for Improving the Nutritional Quality of Food Purchases at No Additional Cost in a Socioeconomically Disadvantaged Population.
Perignon, M, Dubois, C, Gazan, R, Maillot, M, Muller, L, Ruffieux, B, Gaigi, H, Darmon, N
Current developments in nutrition. 2017;(10):e001107
Abstract
Background: Food prices influence food choices. Purchasing foods with higher nutritional quality for their price may help improve the diet quality of socioeconomically disadvantaged individuals. Objective: This study aimed to describe the co-construction and evaluation of the Opticourses prevention program, which promotes healthy eating among participants in socioeconomically deprived situations by improving the nutritional quality of their household food purchases with no additional cost. Methods: Individuals were recruited in poor districts of Marseille, France. The intervention and evaluation tools and protocols were co-constructed with 96 individuals. Then, 93 adults willing to participate in a standardized intervention comprising 5 participative workshops on diet and budget were enrolled. Impact on food purchases was estimated with experimental economics: 2-d experimental food purchase intents were observed at baseline and endline for workshop participants (WPs, n = 35) and controls (n = 23), with the use of monetary incentives to limit social-desirability bias. Changes in food and nutrient content and energy cost (expressed in €/2000 kcal) of experimental purchases were assessed. Results: The co-constructed participative workshops included playful activities around food purchase practices and the nutritional quality, taste, and price of foods. Experimental purchases contained a large amount of energy at baseline for both WPs and controls (5114 and 4523 kcal ⋅ d-1 ⋅ person-1, respectively). For WPs only, the mean energy content decreased between baseline and endline (-1729 kcal ⋅ d-1 ⋅ person-1; P < 0.01; medium effect size: Cohen's d = 0.5), and the percentage of energy from free sugars and from foods high in fat, sugar, and salt also decreased (both P < 0.05 and medium effect sizes), whereas energy cost remained unchanged. No significant changes between baseline and endline were observed for the controls. Conclusions: After the intervention, the energy content of participants' experimental purchases was closer to their needs, suggesting that the workshops helped them plan and rationalize their food purchases better. The nutritional quality of the experimental purchases increased but energy cost did not, showing that the co-constructed Opticourses prevention program can favorably change food purchasing behaviors of socioeconomically disadvantaged individuals with no additional cost. This trial was registered at clinicaltrials.gov as NCT02383875.
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From the SAIN,LIM system to the SENS algorithm: a review of a French approach of nutrient profiling.
Tharrey, M, Maillot, M, Azaïs-Braesco, V, Darmon, N
The Proceedings of the Nutrition Society. 2017;(3):237-246
Abstract
Nutrient profiling aims to classify or rank foods according to their nutritional composition to assist policies aimed at improving the nutritional quality of foods and diets. The present paper reviews a French approach of nutrient profiling by describing the SAIN,LIM system and its evolution from its early draft to the simplified nutrition labelling system (SENS) algorithm. Considered in 2010 by WHO as the 'French model' of nutrient profiling, SAIN,LIM classifies foods into four classes based on two scores: a nutrient density score (NDS) called SAIN and a score of nutrients to limit called LIM, and one threshold on each score. The system was first developed by the French Food Standard Agency in 2008 in response to the European regulation on nutrition and health claims (European Commission (EC) 1924/2006) to determine foods that may be eligible for bearing claims. Recently, the European regulation (EC 1169/2011) on the provision of food information to consumers allowed simplified nutrition labelling to facilitate consumer information and help them make fully informed choices. In that context, the SAIN,LIM was adapted to obtain the SENS algorithm, a system able to rank foods for simplified nutrition labelling. The implementation of the algorithm followed a step-by-step, systematic, transparent and logical process where shortcomings of the SAIN,LIM were addressed by integrating specificities of food categories in the SENS, reducing the number of nutrients, ordering the four classes and introducing European reference intakes. Through the French example, this review shows how an existing nutrient profiling system can be specifically adapted to support public health nutrition policies.
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A review of total & added sugar intakes and dietary sources in Europe.
Azaïs-Braesco, V, Sluik, D, Maillot, M, Kok, F, Moreno, LA
Nutrition journal. 2017;(1):6
Abstract
Public health policies, including in Europe, are considering measures and recommendations to limit the intake of added or free sugars. For such policies to be efficient and monitored, a precise knowledge of the current situation regarding sugar intake in Europe is needed. This review summarizes published or re-analyzed data from 11 representative surveys in Belgium, France, Denmark, Hungary, Ireland, Italy, Norway, The Netherlands, Spain and the UK. Relative intakes were higher in children than in adults: total sugars ranged between 15 and 21% of energy intake in adults and between 16 and 26% in children. Added sugars (or non-milk extrinsic sugars (NMES), in the UK) contributed 7 to 11% of total energy intake in adults and represented a higher proportion of children's energy intake (11 to 17%). Educational level did not significantly affect intakes of total or added sugars in France and the Netherlands. Sweet products (e.g. confectionery, chocolates, cakes and biscuits, sugar, and jam) were major contributors to total sugars intake in all countries, genders and age groups, followed by fruits, beverages and dairy products. Fruits contributed more and beverages contributed less to adults' total sugars intakes than to children's. Added sugars were provided mostly by sweet products (36 to 61% in adults and 40 to 50% in children), followed by beverages (12 to 31% in adults and 20 to 34% in children, fruit juices excluded), then by dairy products (4 to 15% in adults and 6 to 18% in children). Caution is needed, however, as survey methodologies differ on important items such as dietary data collection, food composition tables or estimation of added sugars. Cross-country comparisons are thus not meaningful and overall information might thus not be robust enough to provide a solid basis for implementation of policy measures. Data nevertheless confirm that intakes of total and added sugars are high in the European countries considered, especially in children, and point to sweet products and beverages as the major contributors to added sugar intakes.
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Primary care weight loss maintenance with behavioral nutrition: An observational study.
Lenoir, L, Maillot, M, Guilbot, A, Ritz, P
Obesity (Silver Spring, Md.). 2015;(9):1771-7
Abstract
OBJECTIVE To evaluate the rate of weight loss maintenance, defined as a 10% loss of initial weight maintained beyond 1 year, among patients with BMI > 25 kg/m(2) who had been managed by primary care physicians practicing behavioral nutrition (moderately high-protein diet, carbohydrate restriction, and behavioral therapy). METHODS Restrospective analysis of anthropometric characteristics, weight loss, and its determinants was conducted in 14,256 patients. RESULTS 26.7% of subjects met the success criterion (successful maintenance group; SM), 25.7% did not maintain their weight loss (unsuccessful maintenance group; UM), and 47.6% did not lose 10% of their initial weight (failure group; F). At inclusion, patients in the SM group had a greater BMI and fat mass percentage (40.5% in SM, 38.5% in UM, and 37.0% in F). These patients lost more weight (-14.1% vs. -4.59%) and fat mass (-24.7% vs. -8.21%) than patients in the UM group, and contribution of adiposity to their weight loss was 75.1%. Follow-up of patients in the SM group was characterized by a greater frequency of consultations. CONCLUSIONS Management by primary care providers with behavioral nutrition facilitates weight loss maintenance in patients with overweight and obesity. The determinants of success are frequency of consultations, initial BMI, and initial weight loss.