| Literature DB >> 31603431 |
Charoula Konstantia Nikolaou1, Zoey Tay2, Jodie Leu3, Salome Antonette Rebello2, Lisa Te Morenga4, Rob M Van Dam2, Michael Ernest John Lean5.
Abstract
BACKGROUND: Effective prevention at a young enough age is critical to halt the obesity epidemic. Mobile health (mHealth) apps would potentially reach large numbers at low-cost. While there is already a profusion of lifestyle apps, they are mostly non-evidence-based and evidently ineffective against rising obesity prevalence.Entities:
Keywords: focus groups; mHealth; mobile apps; obesity; public health; weight gain; young adults
Year: 2019 PMID: 31603431 PMCID: PMC6913715 DOI: 10.2196/11205
Source DB: PubMed Journal: JMIR Mhealth Uhealth ISSN: 2291-5222 Impact factor: 4.773
Figure 1Study procedures for participants completing the survey and those selected to participate in the focus groups. FG: focus group.
Demographic characteristics of adolescents completing the survey and those selected to participate in the 6 online focus groups.
| Demographic characteristics | Survey (n=610) | Focus group 1 (n=64) | Focus group 2 (n=62) | Focus group 3 (n=64) | Focus group 4 (n=62) | Focus group 5 (n=62) | Focus group 6 (n=62) | |
| Age (years), mean (SD) | 15.3 (1.4) | 15.0 (1.4) | 15.0 (1.4) | 15.0 (1.4) | 15.0 (1.4) | 15.0 (1.4) | 15.0 (1.4) | |
| Gender (female), n (%) | 429 (70.3) | 36 (57) | 35 (57) | 36 (57) | 40 (65) | 42 (67) | 40 (65) | |
| Weight (kg), mean (SD) | 59.7 (8.0) | 58.2 (7.9) | 60.9 (8.3) | 57.9 (7.0) | 59.5 (9.8) | 60.7 (8.2) | 59.03 (6.6) | |
| Height (m), mean (SD) | 1.64 (0.07) | 1.64 (0.07) | 1.64 (0.07) | 1.63 (0.06) | 1.63 (0.07) | 1.64 (0.06) | 1.64 (0.07) | |
| BMIa (kg/m2), mean (SD) | 22.2 (8.0) | 21.4 (1.9) | 22.4 (2.07) | 21.6 (1.8) | 22.02 (2.4) | 22.4 (2.2) | 21.9 (1.8) | |
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| Greece | 97 (15.9) | 11 (17) | 11 (17) | 10 (15) | 10 (15) | 11 (17) | 10 (16) |
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| Singapore | 93 (15.2) | 11 (17) | 11 (17) | 11 (17) | 11 (17) | 9 (15) | 8 (14) |
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| Finland | 74 (12.1) | 11 (17) | 11 (17) | 10 (15) | 10 (15) | 9 (15) | 10 (16) |
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| United Kingdom | 163 (26.7) | 11 (17) | 11 (17) | 11 (17) | 11 (17) | 11 (17) | 12 (18) |
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| Belgium | 105 (17.2) | 11 (17) | 11 (17) | 11 (17) | 11 (17) | 11 (17) | 12 (18) |
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| New Zealand | 78 (12.8) | 9 (13) | 7 (13) | 11 (17) | 9 (15) | 11 (17) | 10 (16) |
| Parents’ higher education degree (yes), n (%) | 433 (71.0) | 46 (72) | 45 (72) | 43 (67) | 38 (61) | 45 (72) | 52 (83) | |
| Parents smoking (yes), n (%) | 152 (24.9) | 18 (27) | 17 (27) | 13 (20) | 20 (31) | 17 (27) | 18 (29) | |
| Current use of lifestyle apps (yes), n (%) | 189 (31.0) | 23 (36) | 22 (36) | 23 (36) | 17 (28) | 20 (32) | 29 (47) | |
aBMI: body mass index.
Demographic characteristics of young adults completing the survey and those selected to participate in the focus groups.
| Demographic characteristics | Survey (n=1675) | Focus group 1 (n=72) | Focus group 2 (n=73) | Focus group 3 (n=71) | Focus group 4 (n=70) | Focus group 5 (n=73) | Focus group 6 (n=72) | |
| Age (years), mean (SD) | 19.7 (1.7) | 20.7(1.9) | 20.7(1.9) | 20.8 (1.9) | 20.7 (1.9) | 20.7 (1.9) | 20.6 (1.9) | |
| Gender (female), n (%) | 1170 (69.9) | 43 (60) | 42 (58) | 40 (56) | 39 (55) | 43 (60) | 42 (58) | |
| Weight (kg), mean (SD) | 63.8 (11.3) | 64.5 (10.2) | 63.2 (10.3) | 63.5 (10.5) | 64.3 (13.5) | 62.6 (10.4) | 64.2 (10.8) | |
| Height (m), mean (SD) | 1.80 (4.3) | 1.72 (0.08) | 1.71 (0.08) | 1.70 (0.09) | 1.70 (0.1) | 1.70 (0.1) | 1.70 (0.07) | |
| BMIa (kg/m2, mean (SD) | 21.9 (3.2) | 21.6 (2.6) | 21.5 (2.8) | 21.7 (2.9) | 22.0 (3.9) | 21.6 92.4) | 21.9 (3.0) | |
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| Greece | 316 (18.86) | 10 (14) | 11 (15) | 11 (16) | 11 (16) | 12 (16) | 12 (16) | |
| Singapore | 270 (16.11) | 10 (14) | 10 (14) | 9 (14) | 10 (15) | 10 (14) | 11 (15) | |
| Finland | 211 (12.59) | 13 (17) | 14 (18) | 13 (17) | 11 (16) | 12 (16) | 12 (16) | |
| United Kingdom | 420 (25.07) | 14 (18) | 14 (18) | 14 (18) | 15 (19) | 14 (18) | 14 (19) | |
| Belgium | 219 (13.07) | 12 (16) | 11 (15) | 11 (16) | 10 (15) | 13 (17) | 11 (15) | |
| New Zealand | 239 (14.26) | 13 (17) | 13 (17) | 13 (17) | 13 (17) | 12 (16) | 12 (16) | |
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| In higher education | 767 (45.79) | 31 (43) | 41 (56) | 32 (45) | 28 (39) | 34 (47) | 39 (54) | |
| Employed | 670 (40.00) | 31 (43) | 26 (35) | 28 (40) | 32 (45) | 28 (37) | 28 (38) | |
| Looking for job/other | 238 (14.20) | 10 (13) | 6 (7) | 11 (14) | 10 (15) | 11 (14) | 5 (6) | |
| Parents’ higher education degree (yes), n (%) | 1280 (76.41) | 59 (82) | 55 (75) | 53 (75) | 48 (68) | 56 (77) | 57 (79) | |
| Parents’ smoking (yes), n (%) | 390 (23.28) | 17 (23) | 12 (17) | 12.2 (17) | 14 (20) | 16 (21) | 19 (26) | |
| Smoking (yes), n (%) | 273 (16.29) | 15 (20) | 13 (18) | 10 (14) | 12 (17) | 12 (16) | 14.2 (18) | |
| Current use of lifestyle apps (yes), n (%) | 832 (49.67) | 34 (47) | 35 (48) | 44 (62) | 40 (57) | 31.5 (43) | 41 (56) | |
aBMI: body mass index.