UTILIZING LATENT CLASS GROWTH ANALYSIS TO UNDERSTAND DIETARY SELF-MONITORING ENGAGEMENT TRAJECTORIES IN A FEASIBILITY TRIAL
Publication
, Conference
Miller, H; Askew, S; Yang, Q; Christy, J; Steinberg, D
Published in: ANNALS OF BEHAVIORAL MEDICINE
2021
Duke Scholars
Published In
ANNALS OF BEHAVIORAL MEDICINE
EISSN
1532-4796
ISSN
0883-6612
Publication Date
2021
Volume
55
Start / End Page
S502 / S502
Related Subject Headings
- Public Health
- 52 Psychology
- 42 Health sciences
- 17 Psychology and Cognitive Sciences
- 13 Education
- 11 Medical and Health Sciences
Citation
APA
Chicago
ICMJE
MLA
NLM
Miller, H., Askew, S., Yang, Q., Christy, J., & Steinberg, D. (2021). UTILIZING LATENT CLASS GROWTH ANALYSIS TO UNDERSTAND DIETARY SELF-MONITORING ENGAGEMENT TRAJECTORIES IN A FEASIBILITY TRIAL. In ANNALS OF BEHAVIORAL MEDICINE (Vol. 55, pp. S502–S502).
Miller, Hailey, Sandy Askew, Qing Yang, Jacob Christy, and Dori Steinberg. “UTILIZING LATENT CLASS GROWTH ANALYSIS TO UNDERSTAND DIETARY SELF-MONITORING ENGAGEMENT TRAJECTORIES IN A FEASIBILITY TRIAL.” In ANNALS OF BEHAVIORAL MEDICINE, 55:S502–S502, 2021.
Miller H, Askew S, Yang Q, Christy J, Steinberg D. UTILIZING LATENT CLASS GROWTH ANALYSIS TO UNDERSTAND DIETARY SELF-MONITORING ENGAGEMENT TRAJECTORIES IN A FEASIBILITY TRIAL. In: ANNALS OF BEHAVIORAL MEDICINE. 2021. p. S502–S502.
Miller, Hailey, et al. “UTILIZING LATENT CLASS GROWTH ANALYSIS TO UNDERSTAND DIETARY SELF-MONITORING ENGAGEMENT TRAJECTORIES IN A FEASIBILITY TRIAL.” ANNALS OF BEHAVIORAL MEDICINE, vol. 55, 2021, pp. S502–S502.
Miller H, Askew S, Yang Q, Christy J, Steinberg D. UTILIZING LATENT CLASS GROWTH ANALYSIS TO UNDERSTAND DIETARY SELF-MONITORING ENGAGEMENT TRAJECTORIES IN A FEASIBILITY TRIAL. ANNALS OF BEHAVIORAL MEDICINE. 2021. p. S502–S502.
Published In
ANNALS OF BEHAVIORAL MEDICINE
EISSN
1532-4796
ISSN
0883-6612
Publication Date
2021
Volume
55
Start / End Page
S502 / S502
Related Subject Headings
- Public Health
- 52 Psychology
- 42 Health sciences
- 17 Psychology and Cognitive Sciences
- 13 Education
- 11 Medical and Health Sciences