Feasibility of Online Nutrition Education in the Workplace: Working Toward Healthy Lifestyles



      Determination of feasibility of online nutrition education in the federal workplace.


      Pretest–posttest pilot study with data collection occurring from September to December, 2016.


      Two US Department of Agriculture workplaces.


      Convenience sample of 26 federal government employees. Posttest response rate was 85% (22 of 26 employees).


      A 12-week online nutrition education program designed and taught by registered dietitian nutritionists.

      Variables Measured

      Program component satisfaction, use, and understanding ratings and clinical measures including body composition, blood pressure, and skin carotenoid level (biomarker for fruit and vegetable intake).


      Paired t tests to determine whether significant changes occurred after the intervention.


      Mean number of class videos viewed and program components used were 7 and 5 (out of 12 for both). Mean program component ratings ranged from 4.0 to 4.7 (n = 12, maximum score of 5) for the survey items motivated/helped me to eat healthier. Statistically significant decreases were observed in body mass index, percent body fat, and visceral fat level.

      Conclusions and Implications

      Online nutrition education in the federal workplace is feasible for some employees as evidenced by the program components’ high satisfaction and understanding ratings and high retention rate. Limited evidence was apparent for the intervention's positive impact on health outcomes.

      Key Words

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        • Trogdon JG
        • Finkelstein EA
        • Hylands T
        • Dellea PS
        • Kamal-Bahl SJ
        Indirect costs of obesity: a review of the current literature.
        Obes Rev. 2008; 9: 489-500
        • Groessl EJ
        • Kaplan RM
        • Barrett- Connor E
        • Ganiats TG
        Body mass index and quality of well-being in a community of older adults.
        Am J Prev Med. 2004; 26: 126-129
        • Hammond RA
        • Levine R
        The economic impact of obesity in the United States.
        Diabetes Metab Syndr Obes. 2010; 3: 285-295
        • Baicker K
        • Cutler D
        • Song Z
        Workplace wellness programs can generate savings.
        Health Aff. 2010; 29: 304-311
        • Hipp JA
        • Reeds DN
        • van Bakergem MA
        • et al.
        Review of measures of worksite environmental and policy supports for physical activity and healthy eating.
        Prev Chronic Dis. 2015; 12: E65
        • Schroer S
        • Haupt J
        • Pieper C
        Evidence-based lifestyle interventions in the workplace—an overview.
        Occup Med. 2014; 64: 8-12
        • Webb TL
        • Joseph J
        • Yardley L
        • Michie S
        Using the Internet to promote health behavior change: a systematic review and meta-analysis of the impact of theoretical basis, use of behavior change techniques, and mode of delivery on efficacy.
        J Med Internet Res. 2010; 12: e4
        • Goetzel RZ
        • Henke RM
        • Tabrizi M
        • et al.
        Do workplace health promotion (wellness) programs work?.
        J Occup Environ Med. 2014; 56: 927-934
      1. Brin DW. Wellness programs raise privacy concerns over health data. Accessed May 22, 2017.

        • Bowen DJ
        • Kreuter M
        • Spring B
        • et al.
        How we design feasibility studies.
        Am J Prev Med. 2009; 36: 452-457
        • Ermakov IV
        • Gellermann W
        Optical detection methods for carotenoids in human skin.
        Arch Biochem Biophys. 2015; 572: 101-111
        • Ajzen I
        The theory of planned behavior.
        Organ Behav Hum Decis Process. 1991; 50: 179-211
        • Bandura A
        Human agency in Social Cognitive Theory.
        Annu Rev Psychol. 1989; 44: 1175-1184
        • Prochaska JO
        • Velicer WF
        The transtheoretical model of health behavior change.
        Am J Health Promot. 1997; 12: 38-48
        • Ascherio A
        • Willett WC
        Health effects of trans fatty acids.
        Am J Clin Nutr. 1997; 66: 1006S-1010S
        • Barr SB
        • Wright JC
        Postprandial energy expenditure in whole-food and processed-food meals: implications for daily energy expenditure.
        Food Nutr Res. 2010; 54
        • Basciano H
        • Federico L
        • Adeli K
        Fructose, insulin resistance, and metabolic dyslipidemia.
        Nutr Metab (Lond). 2005; 2: 5
        • Davis C.
        From passive overeating to “food addiction”: a spectrum of compulsion and severity.
        ISRN Obes. 2013; (2013): 1-20
        • Hu FB.
        Are refined carbohydrates worse than saturated fat?.
        Am J Clin Nutr. 2010; 91: 1541-1542
        • Jenkins DJA
        • Kendall CWC
        • Augustin LSA
        • et al.
        Glycemic index: overview of implications in health and disease.
        Am J Clin Nutr. 2002; 76: 266S-273S
        • Kenny PJ
        Common cellular and molecular mechanisms in obesity and drug addiction.
        Nat Rev Neurosci. 2011; 12: 638-651
        • Leidy HJ
        • Clifton PM
        • Astrup A
        • et al.
        The role of protein in weight loss and maintenance.
        Am J Clin Nutr. 2015; 101: 1320S-1329S
        • Ludwig DS
        • Majzoub JA
        • Al-Zahrani A
        • Dallal GE
        • Blanco I
        • Roberts SB
        High glycemic index foods, overeating, and obesity.
        Pediatrics. 1999; 103: E26
        • Parnell JA
        • Reimer RA
        Prebiotic fiber modulation of the gut microbiota improves risk factors for obesity and the metabolic syndrome.
        Gut Microbes. 2012; 3: 29-34
        • Stanhope KL
        • Schwarz JM
        • Keim NL
        • et al.
        Consuming fructose-sweetened, not glucose-sweetened, beverages increases visceral adiposity and lipids and decreases insulin sensitivity in overweight/obese humans.
        J Clin Invest. 2009; 119: 1322-1334
        • Stanhope KL
        • Schwarz J-M
        • Havel PJ
        Adverse metabolic effects of dietary fructose.
        Curr Opin Lipidol. 2013; 24: 198-206
        • Swithers SE
        Artificial sweeteners produce the counterintuitive effect of inducing metabolic derangements.
        Trends Endocrinol Metab. 2013; 24: 431-441
        • Taheri S.
        The link between short sleep duration and obesity: we should recommend more sleep to prevent obesity.
        Arch Dis Child. 2006; 91: 881-884
        • Volkow ND
        • Wang GJ
        • Fowler JS
        • Tomasi D
        • Baler R
        Food and drug reward: overlapping circuits in human obesity and addiction.
        in: Carter C. Dalley J Brain Imaging inBehavioral Neuroscience. Springer, Berlin, Germany2011
        • Chobanian AV
        • Bakris GL
        • Black HR
        • et al.
        Seventh report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure.
        Hypertension. 2003; 42: 1206-1252
      2. Biospace Inc. InBody 570 Training Manual. Cerritos, CA: Biospace Inc.; 2016.

        • Cook RF
        • Billings DW
        • Hersch RK
        • Back AS
        • Hendrickson A
        A field test of a Web-based workplace health promotion program to improve dietary practices, reduce stress, and increase physical activity: randomized controlled trial.
        J Med Internet Res. 2007; 9: e17
        • Anderson LM
        • Quinn TA
        • Glanz K
        • et al.
        The effectiveness of worksite nutrition and physical activity interventions for controlling employee overweight and obesity: a systematic review.
        Am J Prev Med. 2009; 37: 340-357
        • Despres JP.
        Body fat distribution and risk of cardiovascular disease: an update.
        Circulation. 2012; 126: 1301-1313
        • Moore TJ
        • Alsabeeh N
        • Apovian CM
        • et al.
        Weight, blood pressure, and dietary benefits after 12 months of a web-based nutrition education program (DASH for Health): longitudinal observational study.
        J Med Internet Res. 2008; 10: e52
      3. National Heart, Lung, and Blood Institute. DASH eating plan. Accessed May 14, 2018.