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Skip search results from other journals and go to results- 5 JMIR mHealth and uHealth
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The study sample consisted of 1734 mothers of children under 2 years of age from 3 rural districts (Banyuasin, Kubu Raya, and Katingan) located in 3 provinces (South Sumatra, West Kalimantan, and Central Kalimantan) in Indonesia. One district was randomly selected from each of the 3 provinces. A multilevel sampling strategy was used to construct the study sample. Within each of the 3 rural districts, 30 villages were randomly selected, and each represented a cluster unit.
JMIR Public Health Surveill 2021;7(1):e19349
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Controlling Your “App”etite: How Diet and Nutrition-Related Mobile Apps Lead to Behavior Change
JMIR Mhealth Uhealth 2017;5(7):e95
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Validating Machine Learning Algorithms for Twitter Data Against Established Measures of Suicidality
JMIR Ment Health 2016;3(2):e21
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Health Behavior Theory in Popular Calorie Counting Apps: A Content Analysis
The interface of each app was thoroughly explored and coded based on a rubric adapted from West et al and Doshi et al [3,8].
To determine the level of interrater reliability between the two graduate student coders, they each coded two preliminary apps, which entailed coding 60 theoretical items each for a total of 120 items. The researchers then calculated the kappa for interrater agreement as .809.
JMIR Mhealth Uhealth 2016;4(1):e19
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