OBJECTIVE: To describe dietary changes in men participating in an obesity intervention as part of the Self-Help, Exercise and Diet using Information Technology (SHED-IT) study. DESIGN: An assessor-blinded randomized controlled trial comparing Internet (n 34) v. information-only groups (n 31) with 6-month follow-up. Dietary intake assessed by FFQ, reporting usual consumption of seventy-four foods and six alcoholic beverages using a 10-point frequency scale. A single portion size (PSF) factor was calculated based on photographs to indicate usual serving sizes. SETTING: The campus community of the University of Newcastle, New South Wales, Australia. SUBJECTS:Sixty-five overweight/obese men (43 % students, 42 % non-academic general staff, 15 % academic staff; mean age 35.9 (sd 11.1) years, mean BMI 30.6 (sd 2.8) kg/m2). RESULTS: The average PSF decreased significantly over time (χ2 = 20.9, df = 5, P < 0.001) with no differences between groups. While both groups reduced mean daily energy intake (GLM χ2 = 34.5, df = 3, P < 0.001), there was a trend towards a greater reduction in the Internet group (GLM χ2 = 3.3, P = 0.07). Both groups reduced percentage of energy from fat (P < 0.05), saturated fat (P < 0.001) and energy-dense/nutrient-poor items (P < 0.05), with no change in dietary fibre or alcohol (P > 0.05). CONCLUSIONS: Although men reported some positive dietary changes during weight loss, they did not increase vegetable intakes nor decrease alcohol consumption, while saturated fat, fibre and Na intakes still exceeded national targets. Future interventions for men should promote specific food-based guidelines to target improvements in their diet-related risk factor profile for chronic diseases.
RCT Entities:
OBJECTIVE: To describe dietary changes in men participating in an obesity intervention as part of the Self-Help, Exercise and Diet using Information Technology (SHED-IT) study. DESIGN: An assessor-blinded randomized controlled trial comparing Internet (n 34) v. information-only groups (n 31) with 6-month follow-up. Dietary intake assessed by FFQ, reporting usual consumption of seventy-four foods and six alcoholic beverages using a 10-point frequency scale. A single portion size (PSF) factor was calculated based on photographs to indicate usual serving sizes. SETTING: The campus community of the University of Newcastle, New South Wales, Australia. SUBJECTS: Sixty-five overweight/obesemen (43 % students, 42 % non-academic general staff, 15 % academic staff; mean age 35.9 (sd 11.1) years, mean BMI 30.6 (sd 2.8) kg/m2). RESULTS: The average PSF decreased significantly over time (χ2 = 20.9, df = 5, P < 0.001) with no differences between groups. While both groups reduced mean daily energy intake (GLM χ2 = 34.5, df = 3, P < 0.001), there was a trend towards a greater reduction in the Internet group (GLM χ2 = 3.3, P = 0.07). Both groups reduced percentage of energy from fat (P < 0.05), saturated fat (P < 0.001) and energy-dense/nutrient-poor items (P < 0.05), with no change in dietary fibre or alcohol (P > 0.05). CONCLUSIONS: Although men reported some positive dietary changes during weight loss, they did not increase vegetable intakes nor decrease alcohol consumption, while saturated fat, fibre and Na intakes still exceeded national targets. Future interventions for men should promote specific food-based guidelines to target improvements in their diet-related risk factor profile for chronic diseases.
Authors: Catherine M Champagne; Stephanie T Broyles; Laura D Moran; Katherine C Cash; Erma J Levy; Pao-Hwa Lin; Bryan C Batch; Lillian F Lien; Kristine L Funk; Arlene Dalcin; Catherine Loria; Valerie H Myers Journal: J Am Diet Assoc Date: 2011-12
Authors: L Susan Wieland; Louise Falzon; Chris N Sciamanna; Kimberlee J Trudeau; Suzanne Brodney; Joseph E Schwartz; Karina W Davidson Journal: Cochrane Database Syst Rev Date: 2012-08-15
Authors: Philip J Morgan; Clare E Collins; Ronald C Plotnikoff; Patrick McElduff; Tracy Burrows; Janet M Warren; Myles D Young; Nina Berry; Kristen L Saunders; Elroy J Aguiar; Robin Callister Journal: BMC Public Health Date: 2010-11-16 Impact factor: 3.295
Authors: Joan L Bottorff; Cherisse L Seaton; Steve T Johnson; Cristina M Caperchione; John L Oliffe; Kimberly More; Haleema Jaffer-Hirji; Sherri M Tillotson Journal: Sports Med Date: 2015-06 Impact factor: 11.136