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. 2020 Jan 8;17(2):422. doi: 10.3390/ijerph17020422

Table 4.

Demographic profile of smartphone study samples and reported study biases.

First Author Pop 1 n 2 Males (%) Age (m (r) 3) Nationality SDC 4 (BCEIMRW) Reported Biases
Abed Univ 229 35 n/a Iraqi (BCEIMRW) None
Akodu Univ 77 57 22 Nigerian (BCEIMRW) Sampling
Akturk Univ 1156 49 n/a Turkish (BCEIMRW) Sampling
AlAbdulwahab Univ 78 50 21 Saudi (BCEIMRW) None
Alavi Univ 500 21 28 (18–31+) Iranian (BCEIMRW) Sampling
Albursan Univ 2008 45 22 (17–28) Arab Sampling
Alhassan Adult 935 34 32 (18–55+) Saudi (BCEIMRW) Multiple
Alhazmi Univ 181 48 24 Saudi (BCEIMRW) Sampling
Arefin Univ 247 54 (18–27) Bangladeshi Sampling
Arnavut Adult 714 58 (18–30+) Turkish Sampling
Barnes Univ 140 31 (18–35+) American (BCEIMRW) Multiple
Basu Univ 388 60 20 Indian (BCEIMRW) Sampling
Beison Univ 100 25 20 (18–23) American 5 (BCEIMRW) None
Cerit Univ 214 20 20 (18–26) Turkish Recall
Cha MS 1824 51 16 Korean (BCEIMRW) Multiple
Chang ES/Adult 5089 52/31 n/a/43 Taiwanese (BCEIMRW) Multiple
Chen Univ 2000 49 21 (17–23) Taiwanese Multiple
Chen Univ 384 54 n/a Chinese Multiple
Chen Univ 1441 48 20 (17–26) Chinese (BCEIMRW) Multiple
Chiang ES/MS 2155 52 n/a Taiwanese (BCEIMRW) Multiple
Cho Adult 400 52 (20–40+) Korean (BCEIMRW) Multiple
Cho PS/Adult 303 7/51 (20–40+)/(0–6) Korean (BCEIMRW) Sampling
Choi HS 1020 52 n/a Korean (BCEIMRW) Sampling
Chou HS/Adult 1444 43/n/a n/a/n/a Taiwanese (BCEIMRW) Recall
Chung MS/HS 1796 46 15 (13–18) Korean Sampling
Cocoradă HS/Univ 717 35 20 Romanian Multiple
Contractor Adult 346 42 34 American 5 (BCEIMRW) Multiple
De-Sola Adult 1126 48 33 (16–65) Spanish (BCEIMRW) Multiple
Ding Univ 849 56 n/a Chinese Multiple
Duke Adult 262 36 32 German Recall
Elhai Adult 308 54 33 American 5 (BCEIMRW) Multiple
Elserty Univ 420 32 20 Egyptian (BCEIMRW) None
Gao Univ 1105 29 21 (16–25) Chinese (BCEIMRW) Multiple
Gao Univ 722 48 20 (15–24) Chinese (BCEIMRW) Multiple
Gezgin HS 161 58 16 Turkish Multiple
Gligor Univ 150 44 27 Romanian (BCEIMRW) Multiple
Gökçearslan Univ 885 41 n/a Turkish (BCEIMRW) None
Habibi HS 271 n/a 17 Indonesian None
Han Univ 543 41 20 (17–22) Chinese Sampling
Hao Univ 847 51 20 (18–24) Chinese (BCEIMRW) Sampling
Hawi Univ 381 59 21 (17–27) Lebanese Multiple
Heo HS 790 23 n/a Korean None
Herrero All 526 52 (15–55+) Spanish (BCEIMRW) None
Herrero All 241 55 (15–55+) Spanish (BCEIMRW) Sampling
Herrero All 416 52 (15–55+) Spanish (BCEIMRW) Selection
Ihm Youth 2000 50 12 Korean Recall
Jeong HS 768 58 n/a Korean (BCEIMRW) Multiple
Jin Univ 297 55 20 (17–24) Chinese (BCEIMRW) Sampling
Jo All 7003 45 (14–39) Korean (BCEIMRW) Recall
Khoury Univ 100 48 (18–25) Brazilian 5 (BCEIMRW) Response
Kim Adult 615 51 30 (19–40) American 5 Recall
Kim All 930 52 26 (13–40) American 5 (BCEIMRW) Recall
Kim MS/HS 4512 45 15 Korean (BCEIMRW) Multiple
Kim Youth 3380 51 (10–19) Korean (BCEIMRW) Information
Kim Univ 200 37 22 (19–28) Korean Sampling
Kim Univ 608 30 23 Korean (BCEIMRW) Multiple
Kim HS 1479 48 n/a Korean (BCEIMRW) Sampling
Kim Univ 313 42 22 (17–29) Korean Sampling
Kita YA 221 65 19 (17–22) Israeli Sampling
Konan Univ 496 25 n/a Turkish None
Konan Univ 330 36 (20–24) Turkish None
Kuang-Tsan Univ 332 65 (18–22) Taiwanese Sampling
Kumcağız HS 352 44 16 (14–19) Turkish (BCEIMRW) Multiple
Kumcağız Adult 428 37 40 (21–65) Turkish (BCEIMRW) Sampling
Kuss All 273 26 28 (16–65) Various None
Kwak MS 1170 42 n/a Korean (BCEIMRW) Sampling
Kwan Univ 211 35 22 Hong Kong (BCEIMRW) None
Lan Univ 1044 48 21 Chinese Information
Lee Youth 231 40 16 (13–18) Korean (BCEIMRW) Sampling
Lee MS 370 49 13 Korean Multiple
Lee MS/HS 3000 53 n/a Korean Sampling
Lee MS/HS 1125 51 n/a Korean (BCEIMRW) Multiple
Lee Univ 125 49 n/a Korean None
Lee Univ 324 9 n/a Korean Multiple
Lee MS 490 100 14 Korean (BCEIMRW) Multiple
Lee Adult 778 63/58 6 35/25 6 Various (BCEIMRW) Information
Li Adult 527 46 27 (18–35) Chinese (BCEIMRW) Sampling
Lian Univ 716 54 20 (18–24) Chinese (BCEIMRW) Sampling
Lian Univ 682 58 19 (18–24) Chinese Recall
Lin Univ 79 72 22 Taiwanese Sampling
Liu HS 899 46 17 (14–19) Chinese Sampling
Liu Univ 465 31 19 (16–24) Chinese Sampling
Liu HS 1196 53 17 (14–20) Chinese Multiple
Lu MS 1311 54 15 Various Sampling
Mahapatra HS/Univ 330 58 (15–20) Indian Multiple
Matar B. Univ 688 53 21 Lebanese (BCEIMRW) Recall
Megna Adult 52 46 27 (18–35) Italian None
Mei Univ 1034 47 20 Chinese (BCEIMRW) Multiple
Nayak Univ 429 35 20 (16–29) Indian None
Noë Adult 64 53 25 (19–46) British (BCEIMRW) Sampling
Parasuraman Adult 409 42 23 (18–55) Malaysian (BCEIMRW) Sampling
Salvi Univ 100 59 21 (18–25) Indian None
Sekhon Univ 80 50 (20–24) Indian Sampling
Serin Univ 287 14 n/a Turkish (BCEIMRW) Multiple
Sok Univ 139 16 n/a Korean Sampling
Song PS/Adult 328 n/a/0 (3–5)/n/a Korean (BCEIMRW) Multiple
Sun HS 1041 56 12 (11–15) Chinese Multiple
Tunc-Aksan HS 296 54 n/a Turkish (BCEIMRW) None
Wang MS 655 55 17 (15–19) Chinese Multiple
Wang MS 768 44 17 (15–19) Chinese (BCEIMRW) Multiple
Wolniewicz Univ 296 43 20 American 5 (BCEIMRW) Multiple
Xu MS 316 47 14 (12–16) Chinese Sampling
Yang HS 1258 53 17 (14–20) Chinese Sampling
Yang Univ 218 58 18 (16–19+) Taiwanese Multiple
Yildiz Durak MS/HS 612 52 13 (10–18) Turkish (BCEIMRW) Multiple
Yildiz HS 262 50 17 (14–19) Turkish Sampling
You Univ 653 50 20 (17–25) Chinese (BCEIMRW) Sampling
Youn Youth 158 53 15 (12–19) Korean (BCEIMRW) Multiple

Notes. 1 Pop: Population general group (PS: Primary school; ES: Elementary school; MS: Middle school; HS: High school; Univ: University, college, or institute of technology students; YA: Young adult); 2 Sample size n; 3 m (r): mean age (range, if available); 4 SDC: Common sociodemographic characteristics besides gender, age, and ethnicity (B = biometrics: height, weight, BMI; C = number of children; E = education; I = income; M = marital status; R = regional/residence: urban or rural; W: work/employment status); 5 Reports racial status (e.g., African-American/Black, American Indian, Asian, Native Hawaiian/other Pacific Islander, White) and ethnicity (e.g., Hispanic/Latino, Not Hispanic/Latino); 6 Of 778 total, 431 US and 347 Chinese participants: male % and mean age of US and Chinese, respectively.