Table 1.

Characteristics of mobile apps.

No.	Mobile app	Topic (nutrition, physical activity): aim of the app	Described in the following study/studies (first author, year, country)	Reach (participants' characteristics)	Duration of the usage
1	ePASS	Physical activity: increase physical activity level.	Hebden, 2012, Australia [ 17]	21 participants at high risk of becoming overweight or obese, 18-35 years old (10 of them evaluated the app).	Not described
			Hebden, 2013, Australia [ 18]	RCTahas not yet been performed, unknown.	RCT has not yet been performed, unknown
2	eVIP	Nutrition: increase fruit and vegetable intake.	Hebden, 2012, Australia [ 17]	21 participants at high risk of becoming overweight or obese, 18-35 years old (10 of them evaluated the app).	Not described
			Hebden, 2013, Australia [ 18]	RCT has not yet been performed, unknown.	RCT has not yet been performed, unknown
3	eSIYP	Nutrition: reduce consumption of sugar-sweetened drinks.	Hebden, 2012, Australia [ 17]	21 participants at high risk of becoming overweight or obese, 18-35 years old (10 of them evaluated the app).	Not described
			Hebden, 2013, Australia [ 18]	RCT has not yet been performed, unknown.	RCT has not yet been performed, unknown
4	eTIYP	Nutrition: reduce excessive intake of high-fat takeout (fast-food) meals.	Hebden, 2012, Australia [ 17]	21 participants at high risk of becoming overweight or obese, 18-35 years old (10 of them evaluated the app).	Not described
			Hebden, 2013, Australia [ 18]	RCT has not yet been performed, unknown.	RCT has not yet been performed, unknown
5	CHAT (Technology Assisted Dietary Assessment (TADA) Project)	Nutrition: increase fruit and vegetable intake, reduce junk food intake.	Kerr, 2012, Australia [ 19]	RCT has not yet been performed, unknown. Intention is to include users aged 18-30 years living in the suburbs of Perth, Western Australia.	RCT has not yet been performed, unknown
			Zhu, 2010, USA [ 20]	78 participants (26 males, 52 females), 11-18 years old.	Not described
			Six, 2010, USA [ 21]	Sample 1: 78 participants (26 males, 52 females), 11-18 years old. Sample 2: 15 participants, 11-18 years old.	Sample 1: one lunch and meal Sample 2: 1 day
			Six, 2011, Australia [ 22]	15 participants (12 boys, 3 girls), adolescents.	1 day
6	MoSeBo/DiaTrace	Nutrition, physical activity: weight reduction or stabilization.	Schiel, 2012, Germany [ 23]	124 participants (44% males, 56% females), average age 13.5 years.	On average 36.5 days
			Schiel, 2010, Germany [ 24]	30 overweight/obese participants, average age 14 years.	On average 4 days
7	Ak-Shen app (part of i-Challenge! program)	Nutrition, physical activity: increase physical activity, fruit and vegetable consumption, nutrition knowledge, motivation.	Mosqueda, 2012, USA [ 25]	30 healthy participants (21 males, 9 females), 11-14 years old.	8 weeks
8	MMM (My Meal Mate)	Nutrition: weight loss by self-monitoring of food and drink intake.	Carter, 2012, UK [ 26]	50 participants (students and staff).	7 days
			Carter, 2013, UK [ 27]	43 participants, 18-65 years old (66% males, 33% females).	6 months
9	Recallerb	Nutrition: raising awareness of dietary intake and eating pattern.	Suzuki, 2012, USA [ 28]	41 participants, college students (median age 22 years).	6 days
10	W8Loss2Goc	Nutrition: weight loss by identifying problem foods.	Pretlow, 2012, USA [ 29]	12 obese participants, 8-21 years old.	2 months
11	FRappc	Nutrition: monitor dietary intake.	Casperson, 2013, USA [ 30]	17 participants, 11-14 years old.	3-7 days
12	App-Hongub	Physical activity: encouraging reporting of miles walked in a physical activity program.	Hongu, 2013, USA [ 31]	30 participants, 11-14 years old.	Not described

^aRCT: randomized controlled trial.

^bOnly a conference abstract was found and the authors did not respond to attempts to contact them.

^cOnly a conference abstract was found; studies are not yet published.