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Citing this Article

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Published on 12.10.17 in Vol 19, No 10 (2017): October

This paper is in the following e-collection/theme issue:

Works citing "Exploring the Potential of a Wearable Camera to Examine the Early Obesogenic Home Environment: Comparison of SenseCam Images to the Home Environment Interview"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.7748):

(note that this is only a small subset of citations)

  1. Engelhard MM, Oliver JA, McClernon FJ. Digital envirotyping: quantifying environmental determinants of health and behavior. npj Digital Medicine 2020;3(1)
    CrossRef
  2. Sparling TM, White H, Kadiyala S. PROTOCOL: Evidence and gap map protocol: Understanding pathways between agriculture and nutrition: An evidence and gap map of tools, metrics and methods developed and applied in the last 10 years. Campbell Systematic Reviews 2019;15(3)
    CrossRef
  3. Downing KL, Janssen X, Reilly JJ. Feasibility of wearable cameras to assess screen time and time spent restrained in children aged 3 to 5 years: a study protocol. BMJ Open 2019;9(5):e028265
    CrossRef
  4. Smith C, Galland BC, de Bruin WE, Taylor RW. Feasibility of Automated Cameras to Measure Screen Use in Adolescents. American Journal of Preventive Medicine 2019;57(3):417
    CrossRef
  5. del Pozo-Cruz B, Perales F, Parker P, Lonsdale C, Noetel M, Hesketh KD, Sanders T. Joint physical-activity/screen-time trajectories during early childhood: socio-demographic predictors and consequences on health-related quality-of-life and socio-emotional outcomes. International Journal of Behavioral Nutrition and Physical Activity 2019;16(1)
    CrossRef
  6. Chen H, Feng Y. Moving Forward to the Future: A Review of Microbial Food Safety Education in China. Foodborne Pathogens and Disease 2021;18(8):547
    CrossRef
  7. Barrett T, Feng Y. Effect of Observational Evaluation of Food Safety Curricula on High School Students' Behavior Change. Journal of Food Protection 2020;83(11):1947
    CrossRef
  8. Kininmonth AR, Smith AD, Llewellyn CH, Dye L, Lawton CL, Fildes A. The relationship between the home environment and child adiposity: a systematic review. International Journal of Behavioral Nutrition and Physical Activity 2021;18(1)
    CrossRef
  9. Doulah A, Ghosh T, Hossain D, Imtiaz MH, Sazonov E. “Automatic Ingestion Monitor Version 2” – A Novel Wearable Device for Automatic Food Intake Detection and Passive Capture of Food Images. IEEE Journal of Biomedical and Health Informatics 2021;25(2):568
    CrossRef
  10. Ghattas H, Jamaluddine Z, Semaan A, El-Helou N, Safadi G, Elghossain T, Akl C, Elbassuoni S, Chalak A, El Ati J, Saleem SM. School and community drivers of child diets in two Arab cities: The SCALE protocol and innovative tools to assess children’s food environments. PLOS ONE 2022;17(7):e0264963
    CrossRef
  11. Kininmonth AR, Schrempft S, Smith A, Dye L, Lawton C, Fisher A, Llewellyn C, Fildes A. The Home Environment Interview and associations with energy balance behaviours and body weight in school-aged children – a feasibility, reliability, and validity study. International Journal of Behavioral Nutrition and Physical Activity 2021;18(1)
    CrossRef
  12. Bulungu ALS, Palla L, Nambooze J, Priebe J, Forsythe L, Katic P, Varley G, Galinda BD, Sarah N, Wellard K, Ferguson EL. Automated wearable cameras for improving recall of diet and time use in Uganda: a cross-sectional feasibility study. Nutrition Journal 2023;22(1)
    CrossRef
  13. Pan Z, Forjan D, Marden T, Padia J, Ghosh T, Hossain D, Thomas JG, McCrory MA, Sazonov E, Higgins JA. Improvement of Methodology for Manual Energy Intake Estimation From Passive Capture Devices. Frontiers in Nutrition 2022;9
    CrossRef
  14. Kininmonth AR, Schrempft S, Smith A, Dye L, Lawton C, Fisher A, Llewellyn CH, Fildes A. Associations between the home environment and childhood weight change: a cross-lagged panel analysis. International Journal of Obesity 2022;46(9):1678
    CrossRef
  15. Liu C, Wang WYC, Khan G. Digital Transformation in Measuring Social Determinants of Health. Journal of Organizational and End User Computing 2023;35(3):1
    CrossRef