Author, year | Setting/Urbanity | Sample | Age (y) Mean ± SD | Ethnicity | Maternal education | Income (RM) | Diet measure | PA measure | Cardio metabolic health outcome | Covariates |
---|---|---|---|---|---|---|---|---|---|---|
Zalilah et al. (2006) [38] | NR | 618 (♂ ♀) | 13.1 ± 0.7 | Malay, Chinese Indian | NR | (Mean ± SD) ♂ RM 1,002 ± 940 ♀ RM 1,082 ± 1,123 | 3DD | 3DD | Body weight status | Ethnicity, household income |
Majid et al.(2016) [30]a | Kuala Lumpur, ,Selangor, Perak/ Urban &rural | 794 (♂ ♀) | 12.9 ± 0.3 | Malay, Chinese Indian, Other | Secondary :66% | 49 % low SES | 7DH |  | BMI (kg/m2) | NR |
Loh et al. (2017) [33] | Kuala Lumpur /Urban | 873 (♂ ♀) | 13a | Malay, Chinese Indian, Other | Secondary:61.4 % | NR | OQ (CNQ) |  | WC, TG, HDL LDL, SB DB. FBG Insulin | Sex, ethnicity, maternal education, PGS, physical activity, BMI, child nutrition questionnaire scores |
Nurul-Fadhilah et al.(2013) [34] | Kota Bharu in Kelantan/Urban | 236 (♂ ♀) | 15.3 ± 1.9 | Malay | NR | (Mean ± SD) RM 2,191±2,553 | FFQ |  | BMI (z score), WC, Body Fat (%), Body weight | Age, household income, PGS, eating out, snacking, energy intake, PA |
Chew et al. (2016) [40] | Hulu Langat in Selangor/ NR | 832 (♂ ♀) | Median(IQR) 16 (15,16) | Malay, Chinese Indian, Other | Secondary: 59% | RM 2,001-5,000 (41%) | FFQ | IPAQ | Abdominal obesity | Sex, ethnicity, BMI |
Pon et al. (2004) [39] | Teluk Intan in Perak/ Rural | 100 (♀) | 14.8 ± 1.2 | Malay, Chinese, Indian | NW: primary:44% OW: secondary 48% | NW: RM 501-1000 (40%) OW: < RM 500 (36%) | FFQ/ 1*24R |  | Body weight status | NR |
Chin & Nasir (2009) [35] | Kuatan in Pahang/ / NR | 407 (♀) | 15.3 ± 1.9 | Malay, Chinese Indian, Other | Secondary:57.0 % | (Mean ± SD) RM 3,266 ± 2,566 | OQ (EBQ) |  | Body weight status | NR |
Rezali et al. (2012) [42] | Kajang In Selangor/ Urban | 382 (♂ ♀) | 14.0 ± 0.8 | Malay, Chinese Indian | NR | NR | 2DD | 2DD | BMI (z-score), Body weight status | Physical activity, body image |
Boon et al. (2012) [43] | Kuala Lumpur/ Urban | 156 (♂ ♀) | 14.1 ± 0.8 | Malay, Chinese, Indian | NR | RM 2,000-5,999 (57%) | 1*24R |  | BMI (kg/m2),body weight status | NR |
Cheah et al. (2011) [41] | Kuching in Sarawak/ NR | 316 (♂ ♀) | Range: 13-17 | Malay, Chinese Indian, Other | Secondary: 63.9 % | (Mean ± SD) RM 3,653 ± 3,740 | FFQ | Media time | BMI (z-score) | NR |
Cynthia et al.2013 [44] | Puchong in Selangor/ Urban | 408 (♂ ♀) | 13.2 ± 0.3 | Malay, Chinese Indian, Other | Secondary: 56 % | 41.9% < RM 3999 | OQ (PESQ) |  | Body weight status BMI (kgm2) | Sex, ethnicity, household income, total energy intake |
Marzuki et al.(1991) [46] | NR/ NR | 110 (♂) | Range: 16-17 | Malay | NR | NR | 1*24R |  | TG, TC, HDL, LDL | NR |
Baharudin et al. (2014) [36] | NR / NR | 40011 (♂ ♀) | 13.4 ± 2.2 | NR | NR | NR |  | PAQ-C | BMI (z-score) | Age, sex, BMI, breakfast intake,school session |
Su et al. (2014) [29]a | Kuala Lumpur, Selangor, Perak/ Urban &rural | 1327 (♂ ♀) | 12.9 ± 0.3 | Malay, Chinese, Indian, Other | NR | NR |  | PAQ-C | BMI (kg/m2), WC, Body fat (%) | Age, sex, ethnicity, place of residence |
Teo et al. (2014) [37] | Kota Bharu in Kelantan/ NR | 454 (♂ ♀) | 15.3 ± 1.9 | Malay, Chinese | NR | NR |  | PAQ-C | Weight status, waist circumference, % body fat | Age, PGS, ethnicity, SES, total energy intakes, fat density intakes , total SB levels (h/day) |
Farah Wahida et al.(2011) [31] | Kuantan in Pahang/ NR | 360 (♂ ♀) | 13.2 ± 0.3 | Malay, Chinese, Indian, Other | 50.6 % Secondary | NR |  | PAQ-C | BMI | NR |
Dan et al. (2011) [45] | Kuantan in Pahang/ NR | 400 (♂ ♀) | 13.23 ± 0.31 | Malay, Chinese Indian | 12.29 ± 3.39 (Mean± SD)years of education | 38.5 %> RM 3000 |  | PAQ-C | BMI (z-score) | NR |