Table 1 List of studies reviewed on geographic variation in CMRFs
|
First author Country |
Sample Age group |
Design Geographic units | CMRFsa (data source) | Outcome | |
|---|---|---|---|---|---|
| 1 |
Lawlor et al. UK [19] |
4286 (women) 60–79 years |
Cross-sectional 4 regions within country | HT, BMI, LDL, TC (data collected) | Geographic variation |
| 2 |
Barker et al. USA [20] |
813,498 DM ≥18 years |
Cross-sectional 644 counties in proximity | DM prevalence ≥ 11.0%, (behavioral risk factor surveillance) | Geographic diabetic belt |
| 3 |
Valdes et al. Spain [18] |
5103 adults ≥ 18 years |
Cross-sectional 2 region within country | BP, BMI, FPG,TC, WC (Di@bet.es study) | Geographic coherence |
| 4 |
Astell-Burt et al. Australia [37] |
114,755 adults ≥ 45 years |
Cross-sectional ~ 40 local government areas (2011 significant urban boundary) | DM (the 45 and up study) | Geographic variation |
| 5 |
Zhou et al. China [17] |
98,058 adults > 18 years |
Cross-sectional multilevel 31 provinces in country | DM (National Health Survey) | Geographic variation |
| 6 |
Paquet et al. AU-France [16] |
Au: 3893 (≥ 18 years) Fr: 6430 (30–79 years) |
Cross-sectional multilevel Au: 767 CDs (SS, POA, SLA LGA). Fr: 1866 IRIS (TRIRIS, Municipalities) | BP,BMI,WC,FG,HbA1c,HR, TC,HDL, TG, (Au: NWAHS study, Fr: RECORD cohort study) | Geographic clustering |
| 7 |
Alkerwi et al. Luxemberg [15] |
1432 subjects 18–69 years. |
Cross-sectional multilevel 106 municipalities (12 cantons) | BMI, FPG,TC, GFR (ORISCAV-LUX national survey) | Geographic variation |
| 8 |
Oh et al. South Korea [13] |
228,921 people ≥ 19 years |
Cross-sectional 230 administrative districts | HT, DM (Korean Community Health Surveys) | Geographic clustering |