Advertisement
Research Article| Volume 51, ISSUE 5, P547-555.e1, May 2019

Download started.

Ok

Beyond Nutrient Intake: Use of Digital Food Photography Methodology to Examine Family Dinnertime

Published:March 01, 2019DOI:https://doi.org/10.1016/j.jneb.2019.01.020

      ABSTRACT

      Objective

      To explore the feasibility of using an image-based food photography methodology (Remote Food Photography Method) in a rural, low-resource audience and use the photos to examine the context of family dinner.

      Design

      Parents used the SmartIntake app on study-issued tablets to take before and after photos of their and their child's dinner for about 7 nights and participated in a mini-focus group to discuss their experience with the Remote Food Photography Method.

      Setting

      Six Head Start/preschool centers in rural Colorado.

      Participants

      Mother–child dyads (n = 31).

      Variables Measured

      Number and quality of photos received, participant feedback, meal timing, concordance, location, preparation, and quality.

      Analysis

      The researchers assessed feasibility via practicality (percent photos received) and acceptability (general inductive approach used to analyze mini-focus group transcripts for participant feedback); time stamps, meal quality, and food preparation scales were used to analyze dinner photos.

      Results

      The majority of photographs (738 of 864) were received. Participants reacted favorably to the methodology; for some, it led to greater self-reflection about mealtime. Mother–child dyads usually ate dinner at the same time and often ate the same food. Children were frequently served protein and refined grains and were rarely served whole grains or fruit. Many families relied on convenience foods.

      Conclusions and Implications

      Digital food photography was feasible in this audience. Photos yielded a holistic picture of family dinnertime: meal timing, location, concordance in parent–child meals, level of preparation, and meal quality.

      Key Words

      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access

      SNEB Member Login

      SNEB Members, full access to the journal is a member benefit. Login via the SNEB Website to access all journal content and features.

      Subscribe:

      Subscribe to Journal of Nutrition Education and Behavior
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect

      REFERENCES

        • Birch LL
        • Fisher JO
        Development of eating behaviors among children and adolescents.
        Pediatrics. 1998; 101: 539-549
        • Anzman SL
        • Rollins BY
        • Birch LL
        Parental influence on children's early eating environments and obesity risk: implications for prevention.
        Int J Obes (Lond). 2010; 34: 1116-1124
        • Patrick H
        • Nicklas TA
        A review of family and social determinants of children's eating patterns and diet quality.
        J Am Coll Nutr. 2005; 24: 83-92
        • Boles RE
        • Johnson SL
        • Burdell A
        • Davies PL
        • Gavin WJ
        • Bellows LL
        Home food availability and child intake among rural families identified to be at-risk for health disparities.
        Appetite. 2019; 134: 135-141
        • Sweetman C
        • McGowan L
        • Croker H
        • Cooke L
        Characteristics of family mealtimes affecting children's vegetable consumption and liking.
        J Am Diet Assoc. 2011; 111: 269-273
        • Swanson V
        • Power KG
        • Crombie IK
        • et al.
        Maternal feeding behaviour and young children's dietary quality: a cross-sectional study of socially disadvantaged mothers of two-year old children using the Theory of Planned Behaviour.
        Int J Behav Nutr Phys Act. 2011; 8: 65
        • Martin-Biggers J
        • Spaccarotella K
        • Berhaupt-Glickstein A
        • Hongu N
        • Worobey J
        • Byrd-Bredbenner C
        Come and get it! A discussion of family mealtime literature and factors affecting obesity risk.
        Adv Nutr. 2014; 5: 235-247
        • Sharp DB
        • Allman-Farinelli M
        Feasibility and validity of mobile phones to assess dietary intake.
        Nutrition. 2014; 30: 1257-1266
        • Boushey CJ
        • Spoden M
        • Zhu FM
        • Delp EJ
        • Kerr DA
        New mobile methods for dietary assessment: review of image-assisted and image-based dietary assessment methods.
        Proc Nutr Soc. 2017; 76: 283-294
        • Gemming L
        • Utter J
        • Ni Mhurchu C
        Image-assisted dietary assessment: a systematic review of the evidence.
        J Acad Nutr Diet. 2015; 115: 64-77
        • Nicklas TA
        • O'Neil CE
        • Stuff JE
        • Hughes SO
        • Liu Y
        Characterizing dinner meals served and consumed by low-income preschool children.
        Child Obes. 2012; 8: 561-571
        • Nicklas TA
        • Liu Y
        • Stuff JE
        • Fisher JO
        • Mendoza JA
        • O'Neil CE
        Characterizing lunch meals served and consumed by preschool children in Head Start.
        Public Health Nutr. 2013; 16: 2169-2177
        • Nicklas T
        • Saab R
        • Islam NG
        • et al.
        Validity of the Remote Food Photography Method against doubly labeled water among minority preschoolers.
        Obesity (Silver Spring). 2017; 25: 1633-1638
        • Nyström CD
        • Sandin S
        • Henriksson P
        • et al.
        Mobile-based intervention intended to stop obesity in preschool-aged children: the MINISTOP randomized controlled trial.
        Am J Clin Nutr. 2017; 105: 1327-1335
        • Taylor JC
        • Yon BA
        • Johnson RK
        Reliability and validity of digital imaging as a measure of schoolchildren's fruit and vegetable consumption.
        J Acad Nutr Diet. 2014; 114: 1359-1366
        • Masis N
        • McCaffrey J
        • Johnson SL
        • Chapman-Novakofski K
        Design and evaluation of a training protocol for a photographic method of visual estimation of fruit and vegetable intake among kindergarten through second-grade students.
        J Nutr Educ Behav. 2017; 49: 346-351
        • English FW
        The utility of the camera in qualitative inquiry.
        Educ Res. 1988; 17: 8-16
        • Kontak JCH
        • McIsaac JD
        • Penney TL
        • Kuhle S
        • Kirk SFL
        The picture of health: examining school-based health environments through photographs.
        Health Promot Int. 2017; 32: 322-330
        • Staiano AE
        • Baker CM
        • Calvert SL
        Dietary digital diaries: documenting adolescents’ obesogenic environment.
        Environ Behav. 2012; 44: 695-712
        • Chow CK
        • Corsi DJ
        • Lock K
        • et al.
        A novel method to evaluate the community built environment using photographs—Environmental Profile of a Community Health (EPOCH) photo neighbourhood evaluation tool.
        PLoS One. 2014; 9e110042
        • Bellows LL
        • McCloskey M
        • Clark L
        • et al.
        HEROs: design of a mixed-methods formative research phase for an ecocultural intervention to promote healthy eating and activity behaviors in rural families with preschoolers.
        J Nutr Educ Behav. 2018; 50: 736-745
        • Martin CK
        • Thomson JL
        • LeBlanc MM
        • et al.
        Children in school cafeterias select foods containing more saturated fat and energy than the Institute of Medicine recommendations.
        J Nutr. 2010; 140: 1653-1660
        • Martin CK
        • Newton Jr, RL
        • Anton SD
        • et al.
        Measurement of children's food intake with digital photography and the effects of second servings upon food intake.
        Eat Behav. 2007; 8: 148-156
        • Williamson DA
        • Han H
        • Johnson WD
        • Martin CK
        • Newton Jr, RL
        Modification of the school cafeteria environment can impact childhood nutrition: results from the Wise Mind and LA Health studies.
        Appetite. 2013; 61: 77-84
        • Nicklas TA
        • O'Neil CE
        • Stuff J
        • Goodell LS
        • Liu Y
        • Martin CK
        Validity and feasibility of a digital diet estimation method for use with preschool children: a pilot study.
        J Nutr Educ Behav. 2012; 44: 618-623
        • Williamson DA
        • Martin PD
        • Allen HR
        • et al.
        Changes in food intake and body weight associated with basic combat training.
        Mil Med. 2002; 167: 248-253
        • Martin CK
        • Nicklas T
        • Gunturk B
        • Correa JB
        • Allen HR
        • Champagne C
        Measuring food intake with digital photography.
        J Hum Nutr Diet. 2014; 27: 72-81
        • Martin CK
        • Han H
        • Coulon SM
        • Allen HR
        • Champagne CM
        • Anton SD
        A novel method to remotely measure food intake of free-living individuals in real time: the remote food photography method.
        Br J Nutr. 2009; 101: 446-456
        • Martin CK
        • Correa JB
        • Han H
        • et al.
        Validity of the Remote Food Photography Method (RFPM) for estimating energy and nutrient intake in near real‐time.
        Obesity (Silver Spring). 2012; 20: 891-899
        • Nicklas T
        • Islam NG
        • Saab R
        • et al.
        Validity of a digital diet estimation method for use with preschool children.
        J Acad Nutr Diet. 2018; 118: 252-260
        • McCloskey M
        • Johnson SL
        • Benz C
        • et al.
        Parent perceptions of mobile device use among preschool-aged children in rural Head Start centers.
        J Nutr Educ Behav. 2018; 50: 83-89
        • Krueger RA
        • Casey MA.
        Focus Groups: A Practical Guide for Applied Research.
        Sage, Thousand Oaks, CA2014
        • Goodell LS
        • Stage VC
        • Cooke NK
        Practical qualitative research strategies: training interviewers and coders.
        J Nutr Educ Behav. 2016; 48: 578-585
      1. Health Insurance Portability and Accountability Act of 1996, HR 3103, 104th Congress (1995-1996). https://www.congress.gov/bill/104th-congress/house-bill/3103.

        • Thomas DR
        A general inductive approach for analyzing qualitative evaluation data.
        Am J Eval. 2006; 27: 237-246
        • Daniels S
        • Glorieux I
        Convenience, food and family lives: a socio-typological study of household food expenditures in 21st-century Belgium.
        Appetite. 2015; 94: 54-61
        • McLaughlin C
        • Tarasuk V
        • Kreiger N
        An examination of at-home food preparation activity among low-income, food-insecure women.
        J Am Diet Assoc. 2003; 103: 1506-1512
        • Kasper N
        • Mandell C
        • Ball S
        • Miller AL
        • Lumeng J
        • Peterson KE
        The Healthy Meal Index: a tool for measuring the healthfulness of meals served to children.
        Appetite. 2016; 103: 54-63
        • Guenther PM
        • Reedy J
        • Krebs-Smith SM
        Development of the Healthy Eating Index-2005.
        J Am Diet Assoc. 2008; 108: 1896-1901
        • Harris PA TR
        • Thielke R.
        • Payne J
        • Gonzalez N
        • Conde JG
        Research electronic data capture (REDCap)—A metadata-driven methodology and workflow process for providing translational research informatics support.
        J Biomed Inform. 2009; 42: 377-381
      2. US Department of Health and Human Services. Annual update of the HHS Poverty Guidelines 2016. https://aspe.hhs.gov/computations-2016-poverty-guidelines. Accessed August 31, 2018.

        • Todd JE
        • Scharadin B.
        Where Households Get Food in a Typical Week: Findings from USDA's FoodAPS.
        US Dept of Agriculture, Economic Research Service, Washington, DC2016 (EIB-156)
        • Martinez Steele E
        • Baraldi LG
        • Louzada ML
        • Moubarac JC
        • Mozaffarian D
        • Monteiro CA
        Ultra-processed foods and added sugars in the US diet: evidence from a nationally representative cross-sectional study.
        BMJ Open. 2016; 6e009892
        • Poti JM
        • Mendez MA
        • Ng SW
        • Popkin BM
        Is the degree of food processing and convenience linked with the nutritional quality of foods purchased by US households?.
        Am J Clin Nutr. 2015; 101: 1251-1262
        • Martinez Steele E
        • Popkin BM
        • Swinburn B
        • Monteiro CA
        The share of ultra-processed foods and the overall nutritional quality of diets in the US: evidence from a nationally representative cross-sectional study.
        Popul Health Metr. 2017; 15: 6
        • McCloskey ML
        • Thompson DA
        • Chamberlin B
        • Clark L
        • Johnson SL
        • Bellows LL
        Mobile device use among rural, low-income families and the feasibility of an app to encourage preschoolers’ physical activity: qualitative study.
        JMIR Pediatr Parent. 2018; 1: e10858
        • Wang C
        • Burris MA
        Photovoice: concept, methodology, and use for participatory needs assessment.
        Health Educ Behav. 1997; 24: 369-387

      CHORUS Manuscript

      View Open Manuscript