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. 2017 Sep 10;14(9):1041. doi: 10.3390/ijerph14091041

Table 1.

Description of study participants by altitude level.

District Mustang Humla
Altitude 2800 m 3270 m 3620 m 2890 m
(Urban) (Rural) (Urban) (Rural)
(N = 165) (N = 61) (N = 44) (N = 251)
Continuous variables Mean (SD) p Value
Age 50.3 (13.7) 55.4 (13.2) 48.3 (12.5) 42.9 (11.0) <0.001
Average walk time/day (minute) 53.0 (44.8) 95.6 (79.9) 73.2 (53.0) 89.4 (89.6) <0.001
Average vegetable and fruit consumption/day (portion) 3.7 (1.9) 2.7 (1.2) 3.2 (1.2) 4.5 (1.8) <0.001
Categorical variables
N/165 * (%) N/61 * (%) N/44 * (%) N/251 * (%)
Sex 0.47
Male 80 (48.5) 29 (47.5) 19 (43.2) 103 (41.0)
Female 85 (51.5) 32 (52.5) 25 (56.8) 148 (59.0)
Education <0.001
No formal education/illiterate 67 (40.6) 41 (67.2) 29 (65.9) 168 (66.9)
Less than primary 45 (27.3) 19 (31.1) 6 (13.6) 18 (7.2)
Primary level completed 25 (15.1) 0 (0) 4 (9.1) 20 (8.0)
Secondary level completed 28 (17.0) 1 (1.6) 5 (11.4) 45 (17.9)
Occupation <0.001
Govt. or nov-govt. employee 25 (15.1) 1 (1.6) 7 (15.9) 39 (15.5)
Self-employed 86 (52.1) 6 (9.8) 14 (31.8) 21 (8.4)
Agriculture/daily waged labour 41 (24.8) 39 (63.9) 21 (47.7) 135 (53.8)
Unemployed/retired/homemaker 13 (7.9) 15 (24.6) 2 (4.5) 56 (22.3)
Ethnicity <0.001
Tibetan 132(80.0) 58 (95.1) 37 (84.1) 82 (32.7)
Khas-Arya 33 (20.0) 3 (4.9) 7 (15.9) 169 (67.3)
High altitude residence <0.001
for lifetime 148 (89.7) 59 (96.7) 38 (86.4) 246 (98.0)
>10 years 17 (10.3) 2 (3.3) 6 (13.6) 2 (0.8)
5 to 10 years 0 (0) 0 (0) 0 (0) 3 (1.2)
Current smoker 17 (10.3) 2 (3.3) 4 (9.1) 97 (38.6) <0.001
Current drinker 84 (50.9) 39 (63.9) 20 (45.4) 123 (49.0) 0.17
Hypertension or medication 76 (46.1) 25 (40.9) 24 (54.5) 73 (29.1) <0.001
Overweight or obesity 81/143 (56.6) 16/60 (26.7) 21 (47.7) 52/251 (20.7) <0.001

* Except where indicated; hypertension, ≥140/90 mmHg; overweight, body mass index ≥ 25 kg/m2; obesity, body mass index ≥ 30 kg/m2; high TC/HDL ratio, ≥5.0; diabetes, glycated hemoglobin (HbA1c) ≥ 48 mmol/mol. p values for continuous variables were calculated by analysis of variance (ANOVA) or Kruskal-Wallis test and by Chi-square test for categorical variables.