Table 1

Selected Characteristics of 1219 Look AHEAD participants

Characteristics


Socio-demographic Characteristics

Age (years)

59.5 ± 6.7

Sex

Male

501 (41.1)

Education (years)

16+

192 (16.2)

13 - 16

389 (32.7)

≤ 12

607 (51.1)

Race

Black

327 (26.8)

White

795 (65.2)

Other

97 (8.0)

Income

< $20,000

79 (7.5)

$20,000-$40,000

184 (17.6)

$40,000-$60,000

216 (20.7)

$60,000-$80,000

185 (17.7)

≥ $80,000

382 (36.5)

Body mass index [BMI, kg/m2]

36.1 ± 5.7

Overweight [20-29.9]

163 (13.4)

Obese [30-34.9]

780(64.0)

Extreme Obesity[≥ 35]

276 (22.6)

Neighborhood Census Tract Indicators

Percent Below Poverty [Range = 0, 0.67]

0.11 ± 0.10

Cubbin Deprivation Score [Range = -2.9, 2.8]

0.001 ± 0.78

Diez-Roux Deprivation Score [Range = -18.7, 12.0]

0.010 ± 5.0

Food Stores [Range = 0, 9]

1.3 ± 1.5

Convenience Stores [Range = 0, 4]

0.6 ± 0.8

Restaurants [Range = 0, 104]

6.8 ± 10.8

Other Food Stores [Range = 0, 9]

2.0 ± 2.8

Other Food Service [Range = 0, 9]

2.6 ± 3.2

Dietary Intake (daily)

Total Fat (%) ξ

≥ 35

465 (73.9)

< 35

164 (26.1)

Saturated Fat (%) ξ

≥ 10

519 (82.5)

< 10

110 (17.5)

Fruit & Vegetable (servings) ξ

< 9

584 (92.8)

≥ 9

45 (7.2)

Eating Patterns

Eat breakfast (days/week)§

7 vs < 7

839 (69.1)

Eat breakfast at a fast food restaurant

≥1 vs. 0

237 (27.7)

Eat breakfast at non-fast food restaurantψ

≥1 vs 0

335(27.7)

Eat lunch (days/week)¥

7 vs < 7

827 (68.1)

Each lunch at a fast food restaurantχ

≥1 vs 0

440 (36.4)

Eat lunch at a non-fast food restaurantχ

≥1 vs 0

618 (51.2)

Eat dinner (days/week)¢

7 vs < 7

1081 (89.2)

Eat dinner at a fast food restaurantχ

≥1 vs 0

285 (23.6)

Eat dinner at a non-fast foodτ

≥1 vs 0

876 (72.5)

Weight Loss

Attempting weight loss§

Yes

1161 (95.6)

Participation in weight loss program ¥

Yes

748 (61.6)

Weight Loss Control Practices (yes/no)

Food

Count fat grams¥

194 (16.0)

Cut out between meal snacking τ

428 (35.4)

Eat less high carbohydrate foods

713 (58.9)

Reduce the number of calories eatenά

661 (54.5)

Record what you eat daily γ

442 (36.4)

Decrease fat intake τ

636 (52.6)

Eat meal replacements

193 (15.9)

Cut out sweets and junk food from diet

763 (63.0)

Increase fruit and vegetables

789 (65.3)

Fast or go without the food entirelyά

74 (6.1)

Count caloriesά

193 (15.9)

Eat special low calorie diet foods

256 (21.2)

Drink fewer alcoholic beverages

222 (18.5)

Eat less meat

430 (35.5)

Weight control food outcome summary score [0-13]

4.92 ± 3.06

Physical Activity

Keep a graph of exercise¥

87 (7.2)

Increase your exercise levelsά

671 (55.3)

Use home exercise equipment§

374 (30.8)

Record exercise daily¥

149 (12.3)

Weight control physical activity outcome summary score [0-4]

1.05 ± 0.99

Weight Control

Keep graph of weight§

82 (6.8)

Go to a weight loss group§

173 (14.2)

Take diet pills§

55 (4.5)

Other weight control activities

111 (13.1)

Smoke cigarettes§

51 (4.2)

Weight control weight loss summary score [0-4]

0.38 ± 0.64

Resource Use (yes/no)

Food

Food preparation equipment purchased in the past year§

621 (51.1)

Physical Activity

Positive feeling about exercise₫

765 (63.9)

Indoor exercise purchases in the past year γ

411 (33.8)

Outdoor exercise purchases in the past year γ

103 (8.5)

Gym membership purchase in the past year ή

265 (21.7)

Resource use physical activity outcomes summary score

1.27 ± 0.96

Weight Control

Class membership/services for weight loss purchases in the past year§

398 (32.8)

Joined a weight loss program in the past yearά

161 (13.3)

Resource use weight control outcomes summary score

0.46 ± 0.61


N = 1188, N = 1046, ξN = 629, §N = 1215, ¥N = 1214, ¢N = 1212, N = 1210, ψN = 1211, χN = 1208, τN = 1209, n = 1203, N = 1199, ΔN = 1205, N = 1200, N = 1197, άN = 1213, ή N = 1219, γ N = 1216

    All results are presented as n(%) or mean ± SD

Higher Cubbin and Diez-Roux score= lower SES

Gary-Webb et al. BMC Public Health 2010 10:312   doi:10.1186/1471-2458-10-312

Open Data