Importing diet questionnaire data

diet <- fread(file = "data_raw/2019_03_04_Diet/Diet_columns.txt",
                  header = TRUE,
                  data.table = FALSE)

dim(diet)
[1] 502618    230
# Recode as factor
dietfactor <-c("Reason.for.not.eating.or.drinking.normally.0.0")
diet[dietfactor] <- lapply(diet[dietfactor], factor)

# Numeric columns
# Pregnancy and Menopause are numeric for recoding
UKBnumeric <-c()

Food.weight

Food.weight.columns <- c("Food.weight.0.0",
                         "Food.weight.1.0",
                         "Food.weight.2.0",
                         "Food.weight.3.0",
                         "Food.weight.4.0")

# Calculate mean for each time point
Food.weight.0.0.mean <- mean(diet$Food.weight.0.0, na.rm = TRUE)
Food.weight.1.0.mean <- mean(diet$Food.weight.1.0, na.rm = TRUE)
Food.weight.2.0.mean <- mean(diet$Food.weight.2.0, na.rm = TRUE)
Food.weight.3.0.mean <- mean(diet$Food.weight.3.0, na.rm = TRUE)
Food.weight.4.0.mean <- mean(diet$Food.weight.4.0, na.rm = TRUE)

# Calculate sd for each time point
Food.weight.0.0.sd <- sd(diet$Food.weight.0.0, na.rm = TRUE)
Food.weight.1.0.sd <- sd(diet$Food.weight.1.0, na.rm = TRUE)
Food.weight.2.0.sd <- sd(diet$Food.weight.2.0, na.rm = TRUE)
Food.weight.3.0.sd <- sd(diet$Food.weight.3.0, na.rm = TRUE)
Food.weight.4.0.sd <- sd(diet$Food.weight.4.0, na.rm = TRUE)

# Calculate 3.5 sds
Food.weight.0.0.sd3.5 <- sd(diet$Food.weight.0.0, na.rm = TRUE)*3.5
Food.weight.1.0.sd3.5 <- sd(diet$Food.weight.1.0, na.rm = TRUE)*3.5
Food.weight.2.0.sd3.5 <- sd(diet$Food.weight.2.0, na.rm = TRUE)*3.5
Food.weight.3.0.sd3.5 <- sd(diet$Food.weight.3.0, na.rm = TRUE)*3.5
Food.weight.4.0.sd3.5 <- sd(diet$Food.weight.4.0, na.rm = TRUE)*3.5

# Replace values that are more extreme than +3.5 sds with NA
Food.weight.0.0.excl <- diet$Food.weight.0.0[diet$Food.weight.0.0>(Food.weight.0.0.mean+Food.weight.0.0.sd3.5)] <- NA
Food.weight.1.0.excl <- diet$Food.weight.1.0[diet$Food.weight.1.0>(Food.weight.1.0.mean+Food.weight.1.0.sd3.5)] <- NA
Food.weight.2.0.excl <- diet$Food.weight.2.0[diet$Food.weight.2.0>(Food.weight.2.0.mean+Food.weight.2.0.sd3.5)] <- NA
Food.weight.3.0.excl <- diet$Food.weight.3.0[diet$Food.weight.3.0>(Food.weight.3.0.mean+Food.weight.3.0.sd3.5)] <- NA
Food.weight.4.0.excl <- diet$Food.weight.4.0[diet$Food.weight.4.0>(Food.weight.4.0.mean+Food.weight.4.0.sd3.5)] <- NA

# Replace values that are more extreme than -3.5 sds with NA
Food.weight.0.0.excl <- diet$Food.weight.0.0[diet$Food.weight.0.0<(Food.weight.0.0.mean-Food.weight.0.0.sd3.5)] <- NA
Food.weight.1.0.excl <- diet$Food.weight.1.0[diet$Food.weight.1.0<(Food.weight.1.0.mean-Food.weight.1.0.sd3.5)] <- NA
Food.weight.2.0.excl <- diet$Food.weight.2.0[diet$Food.weight.2.0<(Food.weight.2.0.mean-Food.weight.2.0.sd3.5)] <- NA
Food.weight.3.0.excl <- diet$Food.weight.3.0[diet$Food.weight.3.0<(Food.weight.3.0.mean-Food.weight.3.0.sd3.5)] <- NA
Food.weight.4.0.excl <- diet$Food.weight.4.0[diet$Food.weight.4.0<(Food.weight.4.0.mean-Food.weight.4.0.sd3.5)] <- NA

# Column: sum of outcome per participants
diet$Food.weight.sum <- rowSums(diet[, c("Food.weight.0.0",
                                        "Food.weight.1.0",
                                        "Food.weight.2.0",
                                        "Food.weight.3.0",
                                        "Food.weight.4.0")],
                                na.rm = TRUE)

# Column: number of NA values per outcome per participants
diet$Food.weight.NA <- rowSums(is.na(diet[, c("Food.weight.0.0",
                                               "Food.weight.1.0",
                                               "Food.weight.2.0",
                                               "Food.weight.3.0",
                                               "Food.weight.4.0")]))

# Column: number of time points each participant completed the questionnaire per outcome
diet$Food.weight.N.answered <- length(Food.weight.columns) - diet$Food.weight.NA

# Column: Average per outcome per participant
diet$Food.weight.average <- diet$Food.weight.sum/diet$Food.weight.N.answered

# Number of NAs per time point
Food.weight.0.0.N.NAs <- sum(is.na(diet$Food.weight.0.0))
Food.weight.1.0.N.NAs <- sum(is.na(diet$Food.weight.1.0))
Food.weight.2.0.N.NAs <- sum(is.na(diet$Food.weight.2.0))
Food.weight.3.0.N.NAs <- sum(is.na(diet$Food.weight.3.0))
Food.weight.4.0.N.NAs <- sum(is.na(diet$Food.weight.4.0))

# Subset
Food.weight.df <- diet %>%
  select(., IID, starts_with("Food.weight"))

Food.weight.spread <- gather(Food.weight.df, key = Time.point, value = Food.weight, Food.weight.columns)

Food.weight.spread$Time.point.old <- Food.weight.spread$Time.point

Food.weight.spread$Time.point <- factor(Food.weight.spread$Time.point,
                                        levels = Food.weight.columns,
                                        labels = c("0",
                                                   "1",
                                                   "2",
                                                   "3",
                                                   "4") )

# Violin plot
ggplot(Food.weight.spread,
       aes(x = Time.point, Food.weight)) + 
  geom_violin(aes(fill = Time.point)) +
  scale_fill_manual(values=c("#6352FF", "#385FE8", "#32A1FF", "#22CCE8", "#1FFFD5")) +
    labs(y = "Weight [kg]",
         x = "Time points",
       title = "Food weight (self-report)",
       color = "black") +
  theme(panel.grid.major.y = element_line(size = 0.5,
                                        linetype = 'dashed',
                                        colour = "gray"),
        axis.title.y = element_blank(),
        axis.text.x = element_text(colour="black", size = 12),
        axis.text.y = element_text(colour="black", size = 12),
        axis.ticks.x = element_blank(),
        axis.ticks.y = element_blank(),
        panel.background = element_blank(),
        legend.position="none")
Warning: Removed 2056673 rows containing non-finite values (stat_ydensity).

ggplot(Food.weight.spread,
       aes(x = factor(Time.point), Food.weight)) + 
  geom_boxplot(aes(fill = Time.point)) +
  scale_fill_manual(values=c("#6352FF", "#385FE8", "#32A1FF", "#22CCE8", "#1FFFD5")) +
    labs(y = "Weight [kg]",
         x = "Time points",
       title = "Food weight (self-report)",
       color = "black") +
  theme(panel.grid.major.y = element_line(size = 0.5,
                                        linetype = 'dashed',
                                        colour = "gray"),
        axis.title.y = element_blank(),
        axis.text.x = element_text(colour="black", size = 12),
        axis.text.y = element_text(colour="black", size = 12),
        axis.ticks.x = element_blank(),
        axis.ticks.y = element_blank(),
        panel.background = element_blank(),
        legend.position="none")
Warning: Removed 2056673 rows containing non-finite values (stat_boxplot).

Descriptives

Diet questionnaire

summarytools::dfSummary(diet[,-1],
                        bootstrap.css     = FALSE,       # Already part of the theme so no need for it
                        plain.ascii       = FALSE,       # One of the essential settings
                        style             = "grid", # Idem.
                        dfSummary.silent  = TRUE,        # Suppresses messages about temporary files
                        footnote          = NA,          # Keeping the results minimalistic
                        subtitle.emphasis = FALSE,
                        graph.magnif = 0.75,
                        tmp.img.dir = "/tmp")

Data Frame Summary

Dimensions: 502618 x 233
Duplicates: 290858

No Variable Stats / Values Freqs (% of Valid) Graph Valid Missing

1

Food.weight.0.0
[numeric]

Mean (sd) : 3241.7 (884.9)
min < med < max:
0 < 3158 < 6543.5
IQR (CV) : 1130.4 (0.3)

13549 distinct values

70391
(14%)

432227
(86%)

2

Food.weight.1.0
[numeric]

Mean (sd) : 3166.7 (806.5)
min < med < max:
304 < 3091 < 6136
IQR (CV) : 1043.8 (0.3)

14281 distinct values

100104
(19.92%)

402514
(80.08%)

3

Food.weight.2.0
[numeric]

Mean (sd) : 3214.2 (827.7)
min < med < max:
356 < 3133.5 < 6273.2
IQR (CV) : 1068.5 (0.3)

13886 distinct values

82846
(16.48%)

419772
(83.52%)

4

Food.weight.3.0
[numeric]

Mean (sd) : 3100.9 (789.8)
min < med < max:
216 < 3028.5 < 6023
IQR (CV) : 1014.8 (0.3)

14072 distinct values

103255
(20.54%)

399363
(79.46%)

5

Food.weight.4.0
[numeric]

Mean (sd) : 3162.9 (808.6)
min < med < max:
250 < 3087 < 6152.5
IQR (CV) : 1035 (0.3)

14304 distinct values

99821
(19.86%)

402797
(80.14%)

6

Energy.0.0
[numeric]

Mean (sd) : 8825.8 (3229.9)
min < med < max:
0 < 8405 < 78205.7
IQR (CV) : 3674.4 (0.4)

65002 distinct values

70747
(14.08%)

431871
(85.92%)

7

Energy.1.0
[numeric]

Mean (sd) : 8869 (2978.9)
min < med < max:
0 < 8498.8 < 47523.7
IQR (CV) : 3465.3 (0.3)

88986 distinct values

100602
(20.02%)

402016
(79.98%)

8

Energy.2.0
[numeric]

Mean (sd) : 8864.7 (3023.6)
min < med < max:
0 < 8462.6 < 68418.5
IQR (CV) : 3490.9 (0.3)

75256 distinct values

83267
(16.57%)

419351
(83.43%)

9

Energy.3.0
[numeric]

Mean (sd) : 8782.8 (2951.1)
min < med < max:
0 < 8421.8 < 51266.1
IQR (CV) : 3469.5 (0.3)

91943 distinct values

103794
(20.65%)

398824
(79.35%)

10

Energy.4.0
[numeric]

Mean (sd) : 8882 (3032.3)
min < med < max:
0 < 8500.6 < 60976.3
IQR (CV) : 3487.7 (0.3)

88782 distinct values

100285
(19.95%)

402333
(80.05%)

11

Protein.0.0
[numeric]

Mean (sd) : 81.8 (31.3)
min < med < max:
0 < 78.6 < 801.9
IQR (CV) : 36 (0.4)

13825 distinct values

70747
(14.08%)

431871
(85.92%)

12

Protein.1.0
[numeric]

Mean (sd) : 82.9 (29.3)
min < med < max:
0 < 80.1 < 636.1
IQR (CV) : 34.2 (0.4)

14315 distinct values

100602
(20.02%)

402016
(79.98%)

13

Protein.2.0
[numeric]

Mean (sd) : 82.5 (30)
min < med < max:
0 < 79.4 < 792.1
IQR (CV) : 34.5 (0.4)

13954 distinct values

83267
(16.57%)

419351
(83.43%)

14

Protein.3.0
[numeric]

Mean (sd) : 82.1 (28.9)
min < med < max:
0 < 79.4 < 565.5
IQR (CV) : 34 (0.4)

14352 distinct values

103794
(20.65%)

398824
(79.35%)

15

Protein.4.0
[numeric]

Mean (sd) : 82.7 (29.7)
min < med < max:
0 < 79.6 < 665.6
IQR (CV) : 34.5 (0.4)

14383 distinct values

100285
(19.95%)

402333
(80.05%)

16

Fat.0.0
[numeric]

Mean (sd) : 76.8 (36.3)
min < med < max:
0 < 71.3 < 576.6
IQR (CV) : 44.6 (0.5)

15198 distinct values

70747
(14.08%)

431871
(85.92%)

17

Fat.1.0
[numeric]

Mean (sd) : 78.3 (34.7)
min < med < max:
0 < 73.5 < 490.4
IQR (CV) : 43.2 (0.4)

15984 distinct values

100602
(20.02%)

402016
(79.98%)

18

Fat.2.0
[numeric]

Mean (sd) : 78.1 (35)
min < med < max:
0 < 73.2 < 687.7
IQR (CV) : 43.5 (0.4)

15471 distinct values

83267
(16.57%)

419351
(83.43%)

19

Fat.3.0
[numeric]

Mean (sd) : 77.9 (34.2)
min < med < max:
0 < 73 < 499.9
IQR (CV) : 42.8 (0.4)

15941 distinct values

103794
(20.65%)

398824
(79.35%)

20

Fat.4.0
[numeric]

Mean (sd) : 79.4 (35.2)
min < med < max:
0 < 74.5 < 553
IQR (CV) : 43.8 (0.4)

16210 distinct values

100285
(19.95%)

402333
(80.05%)

21

Carbohydrate.0.0
[numeric]

Mean (sd) : 258.1 (108.6)
min < med < max:
0 < 244.4 < 2562.1
IQR (CV) : 116.6 (0.4)

30831 distinct values

70747
(14.08%)

431871
(85.92%)

22

Carbohydrate.1.0
[numeric]

Mean (sd) : 255.6 (99.5)
min < med < max:
0 < 244.2 < 1615
IQR (CV) : 110.1 (0.4)

33801 distinct values

100602
(20.02%)

402016
(79.98%)

23

Carbohydrate.2.0
[numeric]

Mean (sd) : 254.1 (100.8)
min < med < max:
0 < 242.2 < 1752.9
IQR (CV) : 110.1 (0.4)

31917 distinct values

83267
(16.57%)

419351
(83.43%)

24

Carbohydrate.3.0
[numeric]

Mean (sd) : 252.4 (98.8)
min < med < max:
0 < 240.7 < 1595.8
IQR (CV) : 109.7 (0.4)

34083 distinct values

103794
(20.65%)

398824
(79.35%)

25

Carbohydrate.4.0
[numeric]

Mean (sd) : 254.1 (100.9)
min < med < max:
0 < 242.4 < 1833.8
IQR (CV) : 110 (0.4)

34046 distinct values

100285
(19.95%)

402333
(80.05%)

26

Saturated.fat.0.0
[numeric]

Mean (sd) : 29.5 (15.8)
min < med < max:
0 < 26.8 < 252.2
IQR (CV) : 18.4 (0.5)

7722 distinct values

70747
(14.08%)

431871
(85.92%)

27

Saturated.fat.1.0
[numeric]

Mean (sd) : 30.1 (15.1)
min < med < max:
0 < 27.6 < 207.1
IQR (CV) : 18 (0.5)

7997 distinct values

100602
(20.02%)

402016
(79.98%)

28

Saturated.fat.2.0
[numeric]

Mean (sd) : 30 (15.3)
min < med < max:
0 < 27.4 < 225.5
IQR (CV) : 18.3 (0.5)

7801 distinct values

83267
(16.57%)

419351
(83.43%)

29

Saturated.fat.3.0
[numeric]

Mean (sd) : 30.1 (15)
min < med < max:
0 < 27.6 < 209.1
IQR (CV) : 18 (0.5)

7998 distinct values

103794
(20.65%)

398824
(79.35%)

30

Saturated.fat.4.0
[numeric]

Mean (sd) : 30.5 (15.4)
min < med < max:
0 < 28 < 200.5
IQR (CV) : 18.4 (0.5)

8136 distinct values

100285
(19.95%)

402333
(80.05%)

31

Polyunsaturated.fat.0.0
[numeric]

Mean (sd) : 14.2 (8.8)
min < med < max:
0 < 12.3 < 126.3
IQR (CV) : 11.1 (0.6)

4657 distinct values

70747
(14.08%)

431871
(85.92%)

32

Polyunsaturated.fat.1.0
[numeric]

Mean (sd) : 14.5 (8.6)
min < med < max:
0 < 12.6 < 115.6
IQR (CV) : 10.8 (0.6)

4813 distinct values

100602
(20.02%)

402016
(79.98%)

33

Polyunsaturated.fat.2.0
[numeric]

Mean (sd) : 14.4 (8.5)
min < med < max:
0 < 12.7 < 150.7
IQR (CV) : 10.8 (0.6)

4628 distinct values

83267
(16.57%)

419351
(83.43%)

34

Polyunsaturated.fat.3.0
[numeric]

Mean (sd) : 14.3 (8.5)
min < med < max:
0 < 12.4 < 98.5
IQR (CV) : 10.8 (0.6)

4823 distinct values

103794
(20.65%)

398824
(79.35%)

35

Polyunsaturated.fat.4.0
[numeric]

Mean (sd) : 14.6 (8.6)
min < med < max:
0 < 12.8 < 119.5
IQR (CV) : 10.9 (0.6)

4851 distinct values

100285
(19.95%)

402333
(80.05%)

36

Total.sugars.0.0
[numeric]

Mean (sd) : 123.2 (62)
min < med < max:
0 < 114.2 < 1342.3
IQR (CV) : 69.2 (0.5)

21633 distinct values

70747
(14.08%)

431871
(85.92%)

37

Total.sugars.1.0
[numeric]

Mean (sd) : 121.2 (56.2)
min < med < max:
0 < 113.7 < 756
IQR (CV) : 65 (0.5)

22799 distinct values

100602
(20.02%)

402016
(79.98%)

38

Total.sugars.2.0
[numeric]

Mean (sd) : 120.9 (56.8)
min < med < max:
0 < 113 < 1239.5
IQR (CV) : 64.9 (0.5)

21746 distinct values

83267
(16.57%)

419351
(83.43%)

39

Total.sugars.3.0
[numeric]

Mean (sd) : 118.5 (55.5)
min < med < max:
0 < 111 < 784.1
IQR (CV) : 64.3 (0.5)

22753 distinct values

103794
(20.65%)

398824
(79.35%)

40

Total.sugars.4.0
[numeric]

Mean (sd) : 120.2 (56.4)
min < med < max:
0 < 112.3 < 1276.4
IQR (CV) : 64.3 (0.5)

22734 distinct values

100285
(19.95%)

402333
(80.05%)

41

Englyst.dietary.fibre.0.0
[numeric]

Mean (sd) : 16.6 (7.9)
min < med < max:
0 < 15.7 < 153.9
IQR (CV) : 9.6 (0.5)

4451 distinct values

70747
(14.08%)

431871
(85.92%)

42

Englyst.dietary.fibre.1.0
[numeric]

Mean (sd) : 16.6 (7.3)
min < med < max:
0 < 15.7 < 129.6
IQR (CV) : 9 (0.4)

4445 distinct values

100602
(20.02%)

402016
(79.98%)

43

Englyst.dietary.fibre.2.0
[numeric]

Mean (sd) : 16.4 (7.3)
min < med < max:
0 < 15.5 < 125.8
IQR (CV) : 9 (0.4)

4349 distinct values

83267
(16.57%)

419351
(83.43%)

44

Englyst.dietary.fibre.3.0
[numeric]

Mean (sd) : 16.4 (7.2)
min < med < max:
0 < 15.6 < 132.6
IQR (CV) : 9 (0.4)

4398 distinct values

103794
(20.65%)

398824
(79.35%)

45

Englyst.dietary.fibre.4.0
[numeric]

Mean (sd) : 16.3 (7.2)
min < med < max:
0 < 15.5 < 202.1
IQR (CV) : 8.8 (0.4)

4380 distinct values

100285
(19.95%)

402333
(80.05%)

46

Portion.size.0.0
[integer]

Mean (sd) : 10.2 (2.2)
min < med < max:
5 < 10 < 15
IQR (CV) : 0 (0.2)

5 : 5490 ( 7.8%)
10 : 56434 (79.8%)
15 : 8790 (12.4%)

70714
(14.07%)

431904
(85.93%)

47

Portion.size.1.0
[integer]

Mean (sd) : 10 (2.1)
min < med < max:
5 < 10 < 15
IQR (CV) : 0 (0.2)

5 : 8921 ( 8.9%)
10 : 82855 (82.4%)
15 : 8826 ( 8.8%)

100602
(20.02%)

402016
(79.98%)

48

Portion.size.2.0
[integer]

Mean (sd) : 10 (2.1)
min < med < max:
5 < 10 < 15
IQR (CV) : 0 (0.2)

5 : 7602 ( 9.1%)
10 : 68752 (82.6%)
15 : 6913 ( 8.3%)

83267
(16.57%)

419351
(83.43%)

49

Portion.size.3.0
[integer]

Mean (sd) : 10 (2.1)
min < med < max:
5 < 10 < 15
IQR (CV) : 0 (0.2)

5 : 9369 ( 9.0%)
10 : 85910 (82.8%)
15 : 8515 ( 8.2%)

103794
(20.65%)

398824
(79.35%)

50

Portion.size.4.0
[integer]

Mean (sd) : 9.9 (2.1)
min < med < max:
5 < 10 < 15
IQR (CV) : 0 (0.2)

5 : 9418 ( 9.4%)
10 : 82443 (82.2%)
15 : 8390 ( 8.4%)

100251
(19.95%)

402367
(80.05%)

51

Iron.0.0
[numeric]

Mean (sd) : 13.6 (5.3)
min < med < max:
0 < 13.1 < 124.3
IQR (CV) : 6.6 (0.4)

3270 distinct values

70747
(14.08%)

431871
(85.92%)

52

Iron.1.0
[numeric]

Mean (sd) : 13.8 (5)
min < med < max:
0 < 13.2 < 67.1
IQR (CV) : 6.3 (0.4)

3257 distinct values

100602
(20.02%)

402016
(79.98%)

53

Iron.2.0
[numeric]

Mean (sd) : 13.9 (5)
min < med < max:
0 < 13.4 < 105.6
IQR (CV) : 6.3 (0.4)

3229 distinct values

83267
(16.57%)

419351
(83.43%)

54

Iron.3.0
[numeric]

Mean (sd) : 13.6 (4.9)
min < med < max:
0 < 13.1 < 92.5
IQR (CV) : 6.2 (0.4)

3226 distinct values

103794
(20.65%)

398824
(79.35%)

55

Iron.4.0
[numeric]

Mean (sd) : 13.8 (5)
min < med < max:
0 < 13.2 < 105.6
IQR (CV) : 6.2 (0.4)

3269 distinct values

100285
(19.95%)

402333
(80.05%)

56

Vitamin.B6.0.0
[numeric]

Mean (sd) : 2.2 (0.9)
min < med < max:
0 < 2.1 < 20.4
IQR (CV) : 1.1 (0.4)

687 distinct values

70747
(14.08%)

431871
(85.92%)

57

Vitamin.B6.1.0
[numeric]

Mean (sd) : 2.2 (0.8)
min < med < max:
0 < 2.1 < 14.4
IQR (CV) : 1 (0.4)

673 distinct values

100602
(20.02%)

402016
(79.98%)

58

Vitamin.B6.2.0
[numeric]

Mean (sd) : 2.2 (0.8)
min < med < max:
0 < 2.1 < 19.3
IQR (CV) : 1.1 (0.4)

659 distinct values

83267
(16.57%)

419351
(83.43%)

59

Vitamin.B6.3.0
[numeric]

Mean (sd) : 2.1 (0.8)
min < med < max:
0 < 2.1 < 13.2
IQR (CV) : 1 (0.4)

664 distinct values

103794
(20.65%)

398824
(79.35%)

60

Vitamin.B6.4.0
[numeric]

Mean (sd) : 2.2 (0.8)
min < med < max:
0 < 2.1 < 14.8
IQR (CV) : 1.1 (0.4)

685 distinct values

100285
(19.95%)

402333
(80.05%)

61

Vitamin.B12.0.0
[numeric]

Mean (sd) : 6.4 (5.5)
min < med < max:
0 < 4.8 < 97.5
IQR (CV) : 4.7 (0.9)

3083 distinct values

70747
(14.08%)

431871
(85.92%)

62

Vitamin.B12.1.0
[numeric]

Mean (sd) : 6.6 (5.6)
min < med < max:
0 < 5 < 95.2
IQR (CV) : 4.9 (0.8)

3329 distinct values

100602
(20.02%)

402016
(79.98%)

63

Vitamin.B12.2.0
[numeric]

Mean (sd) : 6.6 (5.7)
min < med < max:
0 < 4.9 < 100.8
IQR (CV) : 5 (0.9)

3270 distinct values

83267
(16.57%)

419351
(83.43%)

64

Vitamin.B12.3.0
[numeric]

Mean (sd) : 6.4 (5.5)
min < med < max:
0 < 4.9 < 99.6
IQR (CV) : 4.8 (0.8)

3304 distinct values

103794
(20.65%)

398824
(79.35%)

65

Vitamin.B12.4.0
[numeric]

Mean (sd) : 6.7 (5.7)
min < med < max:
0 < 5 < 114.2
IQR (CV) : 5.1 (0.8)

3324 distinct values

100285
(19.95%)

402333
(80.05%)

66

Folate.0.0
[numeric]

Mean (sd) : 307.7 (135.2)
min < med < max:
0 < 288.1 < 2734.3
IQR (CV) : 159.8 (0.4)

36413 distinct values

70747
(14.08%)

431871
(85.92%)

67

Folate.1.0
[numeric]

Mean (sd) : 305.8 (125.6)
min < med < max:
0 < 287.9 < 1973
IQR (CV) : 150.5 (0.4)

40823 distinct values

100602
(20.02%)

402016
(79.98%)

68

Folate.2.0
[numeric]

Mean (sd) : 300.8 (123.4)
min < med < max:
0 < 283.1 < 2241.1
IQR (CV) : 149 (0.4)

37687 distinct values

83267
(16.57%)

419351
(83.43%)

69

Folate.3.0
[numeric]

Mean (sd) : 300.9 (124.3)
min < med < max:
0 < 282.5 < 2123.3
IQR (CV) : 148.3 (0.4)

41133 distinct values

103794
(20.65%)

398824
(79.35%)

70

Folate.4.0
[numeric]

Mean (sd) : 302.2 (122.9)
min < med < max:
0 < 285.1 < 2353.8
IQR (CV) : 146.8 (0.4)

40370 distinct values

100285
(19.95%)

402333
(80.05%)

71

Vitamin.C.0.0
[numeric]

Mean (sd) : 154.2 (129.2)
min < med < max:
0 < 124.6 < 3788.3
IQR (CV) : 141.2 (0.8)

31249 distinct values

70747
(14.08%)

431871
(85.92%)

72

Vitamin.C.1.0
[numeric]

Mean (sd) : 150.2 (114.7)
min < med < max:
0 < 125.5 < 2564
IQR (CV) : 128.7 (0.8)

34441 distinct values

100602
(20.02%)

402016
(79.98%)

73

Vitamin.C.2.0
[numeric]

Mean (sd) : 164 (121.6)
min < med < max:
0 < 139.8 < 2278.7
IQR (CV) : 139.8 (0.7)

33984 distinct values

83267
(16.57%)

419351
(83.43%)

74

Vitamin.C.3.0
[numeric]

Mean (sd) : 142 (108.7)
min < med < max:
0 < 117.9 < 1865.2
IQR (CV) : 122.7 (0.8)

33575 distinct values

103794
(20.65%)

398824
(79.35%)

75

Vitamin.C.4.0
[numeric]

Mean (sd) : 151.6 (114.2)
min < med < max:
0 < 127.3 < 3218.3
IQR (CV) : 128.7 (0.8)

34525 distinct values

100285
(19.95%)

402333
(80.05%)

76

Potassium.0.0
[numeric]

Mean (sd) : 3780 (1560)
min < med < max:
0 < 3589.1 < 30634.8
IQR (CV) : 1657.3 (0.4)

65461 distinct values

70747
(14.08%)

431871
(85.92%)

77

Potassium.1.0
[numeric]

Mean (sd) : 3798.1 (1444.3)
min < med < max:
0 < 3629.8 < 25757.3
IQR (CV) : 1553.4 (0.4)

89421 distinct values

100602
(20.02%)

402016
(79.98%)

78

Potassium.2.0
[numeric]

Mean (sd) : 3802.3 (1467.2)
min < med < max:
0 < 3621.2 < 32298.2
IQR (CV) : 1562.1 (0.4)

75536 distinct values

83267
(16.57%)

419351
(83.43%)

79

Potassium.3.0
[numeric]

Mean (sd) : 3744.1 (1423)
min < med < max:
0 < 3568.9 < 24940.6
IQR (CV) : 1531.9 (0.4)

91816 distinct values

103794
(20.65%)

398824
(79.35%)

80

Potassium.4.0
[numeric]

Mean (sd) : 3778.1 (1450.8)
min < med < max:
0 < 3603.3 < 26038.7
IQR (CV) : 1539.7 (0.4)

89030 distinct values

100285
(19.95%)

402333
(80.05%)

81

Magnesium.0.0
[numeric]

Mean (sd) : 349.7 (129.8)
min < med < max:
0 < 334 < 3103.1
IQR (CV) : 148.6 (0.4)

35304 distinct values

70747
(14.08%)

431871
(85.92%)

82

Magnesium.1.0
[numeric]

Mean (sd) : 351.1 (120.4)
min < med < max:
0 < 337 < 1909.8
IQR (CV) : 140.1 (0.3)

39428 distinct values

100602
(20.02%)

402016
(79.98%)

83

Magnesium.2.0
[numeric]

Mean (sd) : 349.2 (121.5)
min < med < max:
0 < 334.8 < 2765.5
IQR (CV) : 140.4 (0.3)

36595 distinct values

83267
(16.57%)

419351
(83.43%)

84

Magnesium.3.0
[numeric]

Mean (sd) : 347.4 (119.3)
min < med < max:
0 < 333 < 2106.7
IQR (CV) : 140.1 (0.3)

39728 distinct values

103794
(20.65%)

398824
(79.35%)

85

Magnesium.4.0
[numeric]

Mean (sd) : 351.2 (121.8)
min < med < max:
0 < 336.4 < 2522.5
IQR (CV) : 140.6 (0.3)

39507 distinct values

100285
(19.95%)

402333
(80.05%)

86

Retinol.0.0
[numeric]

Mean (sd) : 314.3 (200.2)
min < med < max:
0 < 275.7 < 999.9
IQR (CV) : 267.5 (0.6)

42274 distinct values

68629
(13.65%)

433989
(86.35%)

87

Retinol.1.0
[numeric]

Mean (sd) : 327.3 (199.1)
min < med < max:
0 < 292 < 1000
IQR (CV) : 267.9 (0.6)

51684 distinct values

96993
(19.3%)

405625
(80.7%)

88

Retinol.2.0
[numeric]

Mean (sd) : 323 (200.1)
min < med < max:
0 < 286.4 < 999.7
IQR (CV) : 266.8 (0.6)

46502 distinct values

80424
(16%)

422194
(84%)

89

Retinol.3.0
[numeric]

Mean (sd) : 330 (199.6)
min < med < max:
0 < 293.8 < 999.5
IQR (CV) : 265.8 (0.6)

52432 distinct values

100002
(19.9%)

402616
(80.1%)

90

Retinol.4.0
[numeric]

Mean (sd) : 330.3 (201.3)
min < med < max:
0 < 293.3 < 999.8
IQR (CV) : 271.3 (0.6)

51783 distinct values

96696
(19.24%)

405922
(80.76%)

91

Carotene.0.0
[numeric]

Mean (sd) : 3211.8 (3273.3)
min < med < max:
0 < 2206.5 < 47406.1
IQR (CV) : 3981.8 (1)

66353 distinct values

70747
(14.08%)

431871
(85.92%)

92

Carotene.1.0
[numeric]

Mean (sd) : 3191.9 (3056.5)
min < med < max:
0 < 2365.8 < 52829.4
IQR (CV) : 3717.7 (1)

92765 distinct values

100602
(20.02%)

402016
(79.98%)

93

Carotene.2.0
[numeric]

Mean (sd) : 2983.2 (2865.8)
min < med < max:
0 < 2146.6 < 46729.1
IQR (CV) : 3514.9 (1)

77463 distinct values

83267
(16.57%)

419351
(83.43%)

94

Carotene.3.0
[numeric]

Mean (sd) : 3117.1 (2947.4)
min < med < max:
0 < 2314.1 < 52510.5
IQR (CV) : 3670 (0.9)

95407 distinct values

103794
(20.65%)

398824
(79.35%)

95

Carotene.4.0
[numeric]

Mean (sd) : 2999.6 (2879.7)
min < med < max:
0 < 2180.4 < 51772.4
IQR (CV) : 3549.6 (1)

92170 distinct values

100285
(19.95%)

402333
(80.05%)

96

Typical.diet.yesterday.0.0
[integer]

Min : 0
Mean : 0.8
Max : 1

0 : 12811 (18.1%)
1 : 57903 (81.9%)

70714
(14.07%)

431904
(85.93%)

97

Typical.diet.yesterday.1.0
[integer]

Min : 0
Mean : 0.8
Max : 1

0 : 19754 (19.6%)
1 : 80848 (80.4%)

100602
(20.02%)

402016
(79.98%)

98

Typical.diet.yesterday.2.0
[integer]

Min : 0
Mean : 0.8
Max : 1

0 : 17247 (20.7%)
1 : 66020 (79.3%)

83267
(16.57%)

419351
(83.43%)

99

Typical.diet.yesterday.3.0
[integer]

Min : 0
Mean : 0.8
Max : 1

0 : 18779 (18.1%)
1 : 85015 (81.9%)

103794
(20.65%)

398824
(79.35%)

100

Typical.diet.yesterday.4.0
[integer]

Min : 0
Mean : 0.8
Max : 1

0 : 18411 (18.4%)
1 : 81840 (81.6%)

100251
(19.95%)

402367
(80.05%)

101

Vitamin.D.0.0
[numeric]

Mean (sd) : 2.8 (3.3)
min < med < max:
0 < 1.7 < 48.6
IQR (CV) : 2.4 (1.2)

1865 distinct values

70747
(14.08%)

431871
(85.92%)

102

Vitamin.D.1.0
[numeric]

Mean (sd) : 2.9 (3.3)
min < med < max:
0 < 1.8 < 46.3
IQR (CV) : 2.5 (1.2)

1976 distinct values

100602
(20.02%)

402016
(79.98%)

103

Vitamin.D.2.0
[numeric]

Mean (sd) : 3 (3.5)
min < med < max:
0 < 1.8 < 44.6
IQR (CV) : 2.6 (1.2)

1946 distinct values

83267
(16.57%)

419351
(83.43%)

104

Vitamin.D.3.0
[numeric]

Mean (sd) : 2.8 (3.2)
min < med < max:
0 < 1.7 < 44.1
IQR (CV) : 2.4 (1.2)

1942 distinct values

103794
(20.65%)

398824
(79.35%)

105

Vitamin.D.4.0
[numeric]

Mean (sd) : 3 (3.5)
min < med < max:
0 < 1.8 < 45.4
IQR (CV) : 2.6 (1.1)

1999 distinct values

100285
(19.95%)

402333
(80.05%)

106

Alcohol.0.0
[numeric]

Mean (sd) : 15.9 (24.1)
min < med < max:
0 < 0.1 < 274.5
IQR (CV) : 24 (1.5)

1870 distinct values

70747
(14.08%)

431871
(85.92%)

107

Alcohol.1.0
[numeric]

Mean (sd) : 16.1 (23.2)
min < med < max:
0 < 3.8 < 255.2
IQR (CV) : 24 (1.4)

2225 distinct values

100602
(20.02%)

402016
(79.98%)

108

Alcohol.2.0
[numeric]

Mean (sd) : 17.3 (24.1)
min < med < max:
0 < 7 < 275.2
IQR (CV) : 28.2 (1.4)

2250 distinct values

83267
(16.57%)

419351
(83.43%)

109

Alcohol.3.0
[numeric]

Mean (sd) : 15.9 (23.1)
min < med < max:
0 < 3.8 < 289.2
IQR (CV) : 24 (1.4)

2395 distinct values

103794
(20.65%)

398824
(79.35%)

110

Alcohol.4.0
[numeric]

Mean (sd) : 16.1 (23.3)
min < med < max:
0 < 5.4 < 329.4
IQR (CV) : 24 (1.4)

2343 distinct values

100285
(19.95%)

402333
(80.05%)

111

Starch.0.0
[numeric]

Mean (sd) : 123.4 (56.4)
min < med < max:
0 < 117.7 < 1388.9
IQR (CV) : 68.5 (0.5)

21492 distinct values

70747
(14.08%)

431871
(85.92%)

112

Starch.1.0
[numeric]

Mean (sd) : 123.1 (52.5)
min < med < max:
0 < 118.1 < 701.3
IQR (CV) : 65.6 (0.4)

22744 distinct values

100602
(20.02%)

402016
(79.98%)

113

Starch.2.0
[numeric]

Mean (sd) : 120.7 (52.4)
min < med < max:
0 < 116.4 < 715.1
IQR (CV) : 65.1 (0.4)

21714 distinct values

83267
(16.57%)

419351
(83.43%)

114

Starch.3.0
[numeric]

Mean (sd) : 122.8 (52.3)
min < med < max:
0 < 118.1 < 656.9
IQR (CV) : 65.2 (0.4)

22859 distinct values

103794
(20.65%)

398824
(79.35%)

115

Starch.4.0
[numeric]

Mean (sd) : 122.1 (53)
min < med < max:
0 < 117.5 < 943.2
IQR (CV) : 65.3 (0.4)

22850 distinct values

100285
(19.95%)

402333
(80.05%)

116

Calcium.0.0
[numeric]

Mean (sd) : 987 (470.3)
min < med < max:
0 < 914.8 < 8011.5
IQR (CV) : 497.6 (0.5)

55013 distinct values

70747
(14.08%)

431871
(85.92%)

117

Calcium.1.0
[numeric]

Mean (sd) : 992.3 (445)
min < med < max:
0 < 925.9 < 7033.8
IQR (CV) : 483.4 (0.4)

70502 distinct values

100602
(20.02%)

402016
(79.98%)

118

Calcium.2.0
[numeric]

Mean (sd) : 968.1 (442)
min < med < max:
0 < 899.2 < 8086.3
IQR (CV) : 468.7 (0.5)

61276 distinct values

83267
(16.57%)

419351
(83.43%)

119

Calcium.3.0
[numeric]

Mean (sd) : 976.4 (439.7)
min < med < max:
0 < 909.6 < 7172.5
IQR (CV) : 478 (0.5)

72012 distinct values

103794
(20.65%)

398824
(79.35%)

120

Calcium.4.0
[numeric]

Mean (sd) : 985.4 (446.9)
min < med < max:
0 < 916.9 < 7705.8
IQR (CV) : 475.3 (0.5)

70112 distinct values

100285
(19.95%)

402333
(80.05%)

121

Vitamin.E.0.0
[numeric]

Mean (sd) : 9.2 (5.6)
min < med < max:
0 < 8.2 < 87.2
IQR (CV) : 6.2 (0.6)

3270 distinct values

70747
(14.08%)

431871
(85.92%)

122

Vitamin.E.1.0
[numeric]

Mean (sd) : 9.4 (5.4)
min < med < max:
0 < 8.4 < 84.5
IQR (CV) : 6 (0.6)

3431 distinct values

100602
(20.02%)

402016
(79.98%)

123

Vitamin.E.2.0
[numeric]

Mean (sd) : 9.5 (5.4)
min < med < max:
0 < 8.5 < 96.6
IQR (CV) : 6.1 (0.6)

3320 distinct values

83267
(16.57%)

419351
(83.43%)

124

Vitamin.E.3.0
[numeric]

Mean (sd) : 9.2 (5.3)
min < med < max:
0 < 8.2 < 78.2
IQR (CV) : 5.8 (0.6)

3379 distinct values

103794
(20.65%)

398824
(79.35%)

125

Vitamin.E.4.0
[numeric]

Mean (sd) : 9.5 (5.4)
min < med < max:
0 < 8.5 < 79.2
IQR (CV) : 6.1 (0.6)

3441 distinct values

100285
(19.95%)

402333
(80.05%)

126

Daily.dietary.data.credible.0.0
[integer]

1 distinct value

0 : 677 (100.0%)

677
(0.13%)

501941
(99.87%)

127

Daily.dietary.data.credible.1.0
[integer]

1 distinct value

0 : 710 (100.0%)

710
(0.14%)

501908
(99.86%)

128

Daily.dietary.data.credible.2.0
[integer]

1 distinct value

0 : 633 (100.0%)

633
(0.13%)

501985
(99.87%)

129

Daily.dietary.data.credible.3.0
[integer]

1 distinct value

0 : 670 (100.0%)

670
(0.13%)

501948
(99.87%)

130

Daily.dietary.data.credible.4.0
[integer]

1 distinct value

0 : 804 (100.0%)

804
(0.16%)

501814
(99.84%)

131

Time.spent.doing.vigorous.physical.activity.0.0
[integer]

Mean (sd) : 398.6 (897.4)
min < med < max:
0 < 0 < 3060
IQR (CV) : 12 (2.3)

0 : 38349 (54.2%)
10 : 12404 (17.5%)
12 : 3653 ( 5.2%)
24 : 1272 ( 1.8%)
46 : 311 ( 0.4%)
600 : 156 ( 0.2%)
1030 : 8226 (11.6%)
3060 : 6343 ( 9.0%)

70714
(14.07%)

431904
(85.93%)

132

Time.spent.doing.vigorous.physical.activity.1.0
[integer]

Mean (sd) : 392.1 (907.1)
min < med < max:
0 < 0 < 3060
IQR (CV) : 12 (2.3)

0 : 60034 (59.7%)
10 : 14065 (14.0%)
12 : 4914 ( 4.9%)
24 : 1496 ( 1.5%)
46 : 361 ( 0.4%)
600 : 135 ( 0.1%)
1030 : 10274 (10.2%)
3060 : 9323 ( 9.3%)

100602
(20.02%)

402016
(79.98%)

133

Time.spent.doing.vigorous.physical.activity.2.0
[integer]

Mean (sd) : 409.2 (919.4)
min < med < max:
0 < 0 < 3060
IQR (CV) : 12 (2.2)

0 : 47657 (57.2%)
10 : 12425 (14.9%)
12 : 4238 ( 5.1%)
24 : 1384 ( 1.7%)
46 : 348 ( 0.4%)
600 : 125 ( 0.1%)
1030 : 9123 (11.0%)
3060 : 7967 ( 9.6%)

83267
(16.57%)

419351
(83.43%)

134

Time.spent.doing.vigorous.physical.activity.3.0
[integer]

Mean (sd) : 393.8 (903.9)
min < med < max:
0 < 0 < 3060
IQR (CV) : 12 (2.3)

0 : 60785 (58.6%)
10 : 15719 (15.1%)
12 : 4881 ( 4.7%)
24 : 1372 ( 1.3%)
46 : 304 ( 0.3%)
600 : 131 ( 0.1%)
1030 : 11087 (10.7%)
3060 : 9515 ( 9.2%)

103794
(20.65%)

398824
(79.35%)

135

Time.spent.doing.vigorous.physical.activity.4.0
[integer]

Mean (sd) : 397.3 (908.8)
min < med < max:
0 < 0 < 3060
IQR (CV) : 12 (2.3)

0 : 58257 (58.1%)
10 : 15312 (15.3%)
12 : 4664 ( 4.7%)
24 : 1495 ( 1.5%)
46 : 429 ( 0.4%)
600 : 130 ( 0.1%)
1030 : 10644 (10.6%)
3060 : 9320 ( 9.3%)

100251
(19.95%)

402367
(80.05%)

136

Time.spent.doing.moderate.physical.activity.0.0
[integer]

Mean (sd) : 717.4 (1076)
min < med < max:
0 < 12 < 3060
IQR (CV) : 1020 (1.5)

0 : 17232 (24.4%)
10 : 14494 (20.5%)
12 : 6971 ( 9.9%)
24 : 3195 ( 4.5%)
46 : 868 ( 1.2%)
600 : 261 ( 0.4%)
1030 : 17000 (24.0%)
3060 : 10693 (15.1%)

70714
(14.07%)

431904
(85.93%)

137

Time.spent.doing.moderate.physical.activity.1.0
[integer]

Mean (sd) : 750.1 (1118.6)
min < med < max:
0 < 12 < 3060
IQR (CV) : 1020 (1.5)

0 : 24445 (24.3%)
10 : 18189 (18.1%)
12 : 11428 (11.4%)
24 : 5571 ( 5.5%)
46 : 1491 ( 1.5%)
600 : 381 ( 0.4%)
1030 : 22132 (22.0%)
3060 : 16965 (16.9%)

100602
(20.02%)

402016
(79.98%)

138

Time.spent.doing.moderate.physical.activity.2.0
[integer]

Mean (sd) : 774.1 (1135.4)
min < med < max:
0 < 12 < 3060
IQR (CV) : 1020 (1.5)

0 : 19117 (23.0%)
10 : 14234 (17.1%)
12 : 10033 (12.0%)
24 : 5039 ( 6.0%)
46 : 1550 ( 1.9%)
600 : 378 ( 0.4%)
1030 : 18201 (21.9%)
3060 : 14715 (17.7%)

83267
(16.57%)

419351
(83.43%)

139

Time.spent.doing.moderate.physical.activity.3.0
[integer]

Mean (sd) : 756.6 (1118.9)
min < med < max:
0 < 12 < 3060
IQR (CV) : 1020 (1.5)

0 : 25737 (24.8%)
10 : 19416 (18.7%)
12 : 11198 (10.8%)
24 : 4876 ( 4.7%)
46 : 1281 ( 1.2%)
600 : 328 ( 0.3%)
1030 : 23402 (22.6%)
3060 : 17556 (16.9%)

103794
(20.65%)

398824
(79.35%)

140

Time.spent.doing.moderate.physical.activity.4.0
[integer]

Mean (sd) : 767.4 (1131.3)
min < med < max:
0 < 12 < 3060
IQR (CV) : 1020 (1.5)

0 : 23263 (23.2%)
10 : 17204 (17.2%)
12 : 12201 (12.2%)
24 : 6053 ( 6.0%)
46 : 1697 ( 1.7%)
600 : 411 ( 0.4%)
1030 : 21914 (21.9%)
3060 : 17508 (17.5%)

100251
(19.95%)

402367
(80.05%)

141

Time.spent.doing.light.physical.activity.0.0
[integer]

Mean (sd) : 21.3 (85.9)
min < med < max:
0 < 13 < 1200
IQR (CV) : 12 (4)

0 : 4807 ( 6.8%)
1 : 23770 (33.6%)
13 : 27934 (39.5%)
35 : 9356 (13.2%)
57 : 3212 ( 4.5%)
79 : 1106 ( 1.6%)
912 : 396 ( 0.6%)
1200 : 133 ( 0.2%)

70714
(14.07%)

431904
(85.93%)

142

Time.spent.doing.light.physical.activity.1.0
[integer]

Mean (sd) : 24.7 (96.2)
min < med < max:
0 < 13 < 1200
IQR (CV) : 12 (3.9)

0 : 5666 ( 5.6%)
1 : 29446 (29.3%)
13 : 42594 (42.3%)
35 : 14808 (14.7%)
57 : 5211 ( 5.2%)
79 : 1925 ( 1.9%)
912 : 712 ( 0.7%)
1200 : 240 ( 0.2%)

100602
(20.02%)

402016
(79.98%)

143

Time.spent.doing.light.physical.activity.2.0
[integer]

Mean (sd) : 24.7 (94.3)
min < med < max:
0 < 13 < 1200
IQR (CV) : 12 (3.8)

0 : 4615 ( 5.5%)
1 : 23680 (28.4%)
13 : 35482 (42.6%)
35 : 12766 (15.3%)
57 : 4355 ( 5.2%)
79 : 1599 ( 1.9%)
912 : 596 ( 0.7%)
1200 : 174 ( 0.2%)

83267
(16.57%)

419351
(83.43%)

144

Time.spent.doing.light.physical.activity.3.0
[integer]

Mean (sd) : 23.6 (92.8)
min < med < max:
0 < 13 < 1200
IQR (CV) : 12 (3.9)

0 : 5990 ( 5.8%)
1 : 31489 (30.3%)
13 : 43345 (41.8%)
35 : 15114 (14.6%)
57 : 5174 ( 5.0%)
79 : 1776 ( 1.7%)
912 : 668 ( 0.6%)
1200 : 238 ( 0.2%)

103794
(20.65%)

398824
(79.35%)

145

Time.spent.doing.light.physical.activity.4.0
[integer]

Mean (sd) : 22.9 (88.4)
min < med < max:
0 < 13 < 1200
IQR (CV) : 12 (3.9)

0 : 5744 ( 5.7%)
1 : 30130 (30.0%)
13 : 42423 (42.3%)
35 : 14501 (14.5%)
57 : 4958 ( 5.0%)
79 : 1694 ( 1.7%)
912 : 607 ( 0.6%)
1200 : 194 ( 0.2%)

100251
(19.95%)

402367
(80.05%)

146

When.diet.questionnaire.completed.0.0
[character]

1. 2010-06-18_11:58:55
2. 2009-06-20_10:49:53
3. 2009-07-04_11:42:30
4. 2009-07-04_13:12:06
5. 2009-07-08_18:24:30
6. 2009-07-09_18:04:18
7. 2009-07-11_10:11:53
8. 2009-07-11_16:04:11
9. 2009-07-14_19:27:48
10. 2009-07-15_15:31:37
[ 70394 others ]

3 ( 0.0%)
2 ( 0.0%)
2 ( 0.0%)
2 ( 0.0%)
2 ( 0.0%)
2 ( 0.0%)
2 ( 0.0%)
2 ( 0.0%)
2 ( 0.0%)
2 ( 0.0%)
70695 (100.0%)

70716
(14.07%)

431902
(85.93%)

147

When.diet.questionnaire.completed.1.0
[character]

1. 2011-02-14_10:51:32
2. 2011-02-16_09:36:21
3. 2011-02-18_10:27:28
4. 2011-02-20_11:02:07
5. 2011-02-21_12:05:00
6. 2011-02-22_09:37:17
7. 2011-02-22_11:09:29
8. 2011-02-22_17:55:17
9. 2011-02-24_09:27:08
10. 2011-02-25_12:31:50
[ 98998 others ]

3 ( 0.0%)
3 ( 0.0%)
3 ( 0.0%)
3 ( 0.0%)
3 ( 0.0%)
3 ( 0.0%)
3 ( 0.0%)
3 ( 0.0%)
3 ( 0.0%)
3 ( 0.0%)
100572 (100.0%)

100602
(20.02%)

402016
(79.98%)

148

When.diet.questionnaire.completed.2.0
[character]

1. 2011-07-05_08:59:37
2. 2011-07-06_09:34:50
3. 2011-07-17_19:33:25
4. 2011-07-18_09:49:13
5. 2011-07-23_08:45:35
6. 2011-07-25_18:32:23
7. 2011-07-27_08:49:09
8. 2011-07-27_09:00:15
9. 2011-07-28_16:40:55
10. 2011-07-31_10:50:56
[ 82116 others ]

3 ( 0.0%)
3 ( 0.0%)
3 ( 0.0%)
3 ( 0.0%)
3 ( 0.0%)
3 ( 0.0%)
3 ( 0.0%)
3 ( 0.0%)
3 ( 0.0%)
3 ( 0.0%)
83237 (100.0%)

83267
(16.57%)

419351
(83.43%)

149

When.diet.questionnaire.completed.3.0
[character]

1. 2011-10-15_15:28:00
2. 2011-10-17_09:25:56
3. 2011-10-17_11:22:28
4. 2011-10-17_12:42:31
5. 2011-10-17_15:46:17
6. 2011-10-20_10:00:16
7. 2011-10-22_09:17:04
8. 2011-10-26_20:42:06
9. 2011-11-06_13:44:52
10. 2011-11-09_10:05:14
[ 102203 others ]

3 ( 0.0%)
3 ( 0.0%)
3 ( 0.0%)
3 ( 0.0%)
3 ( 0.0%)
3 ( 0.0%)
3 ( 0.0%)
3 ( 0.0%)
3 ( 0.0%)
3 ( 0.0%)
103765 (100.0%)

103795
(20.65%)

398823
(79.35%)

150

When.diet.questionnaire.completed.4.0
[character]

1. 2012-04-14_09:48:37
2. 2012-04-17_09:24:21
3. 2012-04-17_09:28:40
4. 2012-04-18_08:07:24
5. 2012-04-23_11:28:13
6. 2012-04-24_14:38:28
7. 2012-04-25_08:45:24
8. 2012-04-25_14:28:43
9. 2012-04-27_18:14:29
10. 2012-04-28_17:35:26
[ 98897 others ]

3 ( 0.0%)
3 ( 0.0%)
3 ( 0.0%)
3 ( 0.0%)
3 ( 0.0%)
3 ( 0.0%)
3 ( 0.0%)
3 ( 0.0%)
3 ( 0.0%)
3 ( 0.0%)
100221 (100.0%)

100251
(19.95%)

402367
(80.05%)

151

Number.of.diet.questionnaires.completed.0.0
[integer]

Mean (sd) : 2.2 (1.2)
min < med < max:
1 < 2 < 5
IQR (CV) : 2 (0.5)

1 : 84167 (39.9%)
2 : 48122 (22.8%)
3 : 42489 (20.1%)
4 : 30480 (14.4%)
5 : 5766 ( 2.7%)

211024
(41.98%)

291594
(58.02%)

152

Reason.for.not.eating.or.drinking.normally.0.0
[factor]

1. 3
2. 4
3. 5
4. 6

409 ( 3.2%)
119 ( 0.9%)
5345 (41.7%)
6938 (54.2%)

12811
(2.55%)

489807
(97.45%)

153

Reason.for.not.eating.or.drinking.normally.0.1
[integer]

Mean (sd) : 5.9 (0.4)
min < med < max:
4 < 6 < 6
IQR (CV) : 0 (0.1)

4 : 9 ( 1.9%)
5 : 43 ( 8.9%)
6 : 432 (89.3%)

484
(0.1%)

502134
(99.9%)

154

Reason.for.not.eating.or.drinking.normally.0.2
[integer]

Min : 5
Mean : 5.2
Max : 6

5 : 6 (75.0%)
6 : 2 (25.0%)

8
(0%)

502610
(100%)

155

Reason.for.not.eating.or.drinking.normally.0.3
[logical]

All NA’s

0
(0%)

502618
(100%)

156

Reason.for.not.eating.or.drinking.normally.1.0
[integer]

Mean (sd) : 5.4 (0.7)
min < med < max:
3 < 6 < 6
IQR (CV) : 1 (0.1)

3 : 954 ( 4.8%)
4 : 190 ( 1.0%)
5 : 8254 (41.8%)
6 : 10356 (52.4%)

19754
(3.93%)

482864
(96.07%)

157

Reason.for.not.eating.or.drinking.normally.1.1
[integer]

Mean (sd) : 5.9 (0.4)
min < med < max:
4 < 6 < 6
IQR (CV) : 0 (0.1)

4 : 11 ( 1.4%)
5 : 90 (11.6%)
6 : 675 (87.0%)

776
(0.15%)

501842
(99.85%)

158

Reason.for.not.eating.or.drinking.normally.1.2
[integer]

Min : 5
Mean : 5.7
Max : 6

5 : 5 (27.8%)
6 : 13 (72.2%)

18
(0%)

502600
(100%)

159

Reason.for.not.eating.or.drinking.normally.1.3
[integer]

1 distinct value

6 : 2 (100.0%)

2
(0%)

502616
(100%)

160

Reason.for.not.eating.or.drinking.normally.2.0
[integer]

Mean (sd) : 5.4 (0.7)
min < med < max:
3 < 6 < 6
IQR (CV) : 1 (0.1)

3 : 634 ( 3.7%)
4 : 122 ( 0.7%)
5 : 7712 (44.7%)
6 : 8779 (50.9%)

17247
(3.43%)

485371
(96.57%)

161

Reason.for.not.eating.or.drinking.normally.2.1
[integer]

Mean (sd) : 5.9 (0.4)
min < med < max:
4 < 6 < 6
IQR (CV) : 0 (0.1)

4 : 9 ( 1.4%)
5 : 64 ( 9.9%)
6 : 573 (88.7%)

646
(0.13%)

501972
(99.87%)

162

Reason.for.not.eating.or.drinking.normally.2.2
[integer]

Min : 5
Mean : 5.6
Max : 6

5 : 4 (36.4%)
6 : 7 (63.6%)

11
(0%)

502607
(100%)

163

Reason.for.not.eating.or.drinking.normally.2.3
[integer]

1 distinct value

6 : 1 (100.0%)

1
(0%)

502617
(100%)

164

Reason.for.not.eating.or.drinking.normally.3.0
[integer]

Mean (sd) : 5.4 (0.8)
min < med < max:
3 < 6 < 6
IQR (CV) : 1 (0.1)

3 : 982 ( 5.2%)
4 : 136 ( 0.7%)
5 : 8000 (42.6%)
6 : 9661 (51.4%)

18779
(3.74%)

483839
(96.26%)

165

Reason.for.not.eating.or.drinking.normally.3.1
[integer]

Mean (sd) : 5.8 (0.4)
min < med < max:
4 < 6 < 6
IQR (CV) : 0 (0.1)

4 : 7 ( 0.9%)
5 : 113 (15.2%)
6 : 625 (83.9%)

745
(0.15%)

501873
(99.85%)

166

Reason.for.not.eating.or.drinking.normally.3.2
[integer]

Min : 5
Mean : 5.9
Max : 6

5 : 3 (13.6%)
6 : 19 (86.4%)

22
(0%)

502596
(100%)

167

Reason.for.not.eating.or.drinking.normally.3.3
[integer]

1 distinct value

6 : 1 (100.0%)

1
(0%)

502617
(100%)

168

Reason.for.not.eating.or.drinking.normally.4.0
[integer]

Mean (sd) : 5.4 (0.7)
min < med < max:
3 < 6 < 6
IQR (CV) : 1 (0.1)

3 : 832 ( 4.5%)
4 : 109 ( 0.6%)
5 : 8081 (43.9%)
6 : 9389 (51.0%)

18411
(3.66%)

484207
(96.34%)

169

Reason.for.not.eating.or.drinking.normally.4.1
[integer]

Mean (sd) : 5.9 (0.3)
min < med < max:
4 < 6 < 6
IQR (CV) : 0 (0.1)

4 : 6 ( 0.8%)
5 : 73 (10.2%)
6 : 637 (89.0%)

716
(0.14%)

501902
(99.86%)

170

Reason.for.not.eating.or.drinking.normally.4.2
[integer]

Min : 5
Mean : 5.9
Max : 6

5 : 1 (10.0%)
6 : 9 (90.0%)

10
(0%)

502608
(100%)

171

Reason.for.not.eating.or.drinking.normally.4.3
[integer]

1 distinct value

6 : 1 (100.0%)

1
(0%)

502617
(100%)

172

Type.of.special.diet.followed.0.0
[integer]

Mean (sd) : 10.3 (1.3)
min < med < max:
8 < 10 < 13
IQR (CV) : 1 (0.1)

8 : 1639 (10.7%)
9 : 807 ( 5.2%)
10 : 8320 (54.1%)
11 : 2376 (15.5%)
12 : 140 ( 0.9%)
13 : 2086 (13.6%)

15368
(3.06%)

487250
(96.94%)

173

Type.of.special.diet.followed.0.1
[integer]

Mean (sd) : 10.8 (1.5)
min < med < max:
9 < 11 < 13
IQR (CV) : 2 (0.1)

9 : 354 (24.9%)
10 : 340 (23.9%)
11 : 311 (21.9%)
12 : 91 ( 6.4%)
13 : 325 (22.9%)

1421
(0.28%)

501197
(99.72%)

174

Type.of.special.diet.followed.0.2
[integer]

Mean (sd) : 11.3 (1.2)
min < med < max:
10 < 11 < 13
IQR (CV) : 3 (0.1)

10 : 92 (36.6%)
11 : 52 (20.7%)
12 : 41 (16.3%)
13 : 66 (26.3%)

251
(0.05%)

502367
(99.95%)

175

Type.of.special.diet.followed.0.3
[integer]

Mean (sd) : 11.9 (0.9)
min < med < max:
11 < 12 < 13
IQR (CV) : 2 (0.1)

11 : 24 (48.0%)
12 : 9 (18.0%)
13 : 17 (34.0%)

50
(0.01%)

502568
(99.99%)

176

Type.of.special.diet.followed.0.4
[integer]

Min : 12
Mean : 12.2
Max : 13

12 : 13 (76.5%)
13 : 4 (23.5%)

17
(0%)

502601
(100%)

177

Type.of.special.diet.followed.0.5
[integer]

1 distinct value

13 : 4 (100.0%)

4
(0%)

502614
(100%)

178

Type.of.special.diet.followed.1.0
[integer]

Mean (sd) : 10.5 (1.4)
min < med < max:
8 < 10 < 13
IQR (CV) : 1 (0.1)

8 : 2150 ( 9.5%)
9 : 1228 ( 5.4%)
10 : 11401 (50.4%)
11 : 3326 (14.7%)
12 : 172 ( 0.8%)
13 : 4353 (19.2%)

22630
(4.5%)

479988
(95.5%)

179

Type.of.special.diet.followed.1.1
[integer]

Mean (sd) : 11 (1.6)
min < med < max:
9 < 11 < 13
IQR (CV) : 3 (0.1)

9 : 471 (23.8%)
10 : 414 (20.9%)
11 : 399 (20.2%)
12 : 72 ( 3.6%)
13 : 621 (31.4%)

1977
(0.39%)

500641
(99.61%)

180

Type.of.special.diet.followed.1.2
[integer]

Mean (sd) : 11.5 (1.3)
min < med < max:
10 < 11 < 13
IQR (CV) : 3 (0.1)

10 : 104 (34.2%)
11 : 65 (21.4%)
12 : 18 ( 5.9%)
13 : 117 (38.5%)

304
(0.06%)

502314
(99.94%)

181

Type.of.special.diet.followed.1.3
[integer]

Mean (sd) : 12 (0.9)
min < med < max:
11 < 12 < 13
IQR (CV) : 2 (0.1)

11 : 18 (37.5%)
12 : 12 (25.0%)
13 : 18 (37.5%)

48
(0.01%)

502570
(99.99%)

182

Type.of.special.diet.followed.1.4
[integer]

Min : 12
Mean : 12.2
Max : 13

12 : 12 (80.0%)
13 : 3 (20.0%)

15
(0%)

502603
(100%)

183

Type.of.special.diet.followed.1.5
[integer]

1 distinct value

13 : 8 (100.0%)

8
(0%)

502610
(100%)

184

Type.of.special.diet.followed.2.0
[integer]

Mean (sd) : 10.5 (1.5)
min < med < max:
8 < 10 < 13
IQR (CV) : 1 (0.1)

8 : 1927 (10.2%)
9 : 1068 ( 5.6%)
10 : 9335 (49.2%)
11 : 2710 (14.3%)
12 : 150 ( 0.8%)
13 : 3764 (19.9%)

18954
(3.77%)

483664
(96.23%)

185

Type.of.special.diet.followed.2.1
[integer]

Mean (sd) : 11 (1.6)
min < med < max:
9 < 11 < 13
IQR (CV) : 3 (0.1)

9 : 382 (23.4%)
10 : 369 (22.6%)
11 : 314 (19.2%)
12 : 64 ( 3.9%)
13 : 507 (31.0%)

1636
(0.33%)

500982
(99.67%)

186

Type.of.special.diet.followed.2.2
[integer]

Mean (sd) : 11.8 (1.3)
min < med < max:
10 < 12 < 13
IQR (CV) : 3 (0.1)

10 : 63 (28.6%)
11 : 34 (15.4%)
12 : 17 ( 7.7%)
13 : 106 (48.2%)

220
(0.04%)

502398
(99.96%)

187

Type.of.special.diet.followed.2.3
[integer]

Mean (sd) : 12.3 (0.9)
min < med < max:
11 < 13 < 13
IQR (CV) : 2 (0.1)

11 : 11 (28.9%)
12 : 5 (13.2%)
13 : 22 (57.9%)

38
(0.01%)

502580
(99.99%)

188

Type.of.special.diet.followed.2.4
[integer]

1 distinct value

12 : 8 (100.0%)

8
(0%)

502610
(100%)

189

Type.of.special.diet.followed.2.5
[integer]

1 distinct value

13 : 4 (100.0%)

4
(0%)

502614
(100%)

190

Type.of.special.diet.followed.3.0
[integer]

Mean (sd) : 10.5 (1.5)
min < med < max:
8 < 10 < 13
IQR (CV) : 1 (0.1)

8 : 2350 (10.5%)
9 : 1287 ( 5.8%)
10 : 10457 (46.8%)
11 : 3389 (15.2%)
12 : 210 ( 0.9%)
13 : 4647 (20.8%)

22340
(4.44%)

480278
(95.56%)

191

Type.of.special.diet.followed.3.1
[integer]

Mean (sd) : 10.9 (1.6)
min < med < max:
9 < 11 < 13
IQR (CV) : 4 (0.1)

9 : 498 (25.7%)
10 : 389 (20.1%)
11 : 374 (19.3%)
12 : 65 ( 3.4%)
13 : 611 (31.5%)

1937
(0.39%)

500681
(99.61%)

192

Type.of.special.diet.followed.3.2
[integer]

Mean (sd) : 11.7 (1.3)
min < med < max:
10 < 12 < 13
IQR (CV) : 3 (0.1)

10 : 78 (29.4%)
11 : 37 (14.0%)
12 : 28 (10.6%)
13 : 122 (46.0%)

265
(0.05%)

502353
(99.95%)

193

Type.of.special.diet.followed.3.3
[integer]

Mean (sd) : 12.3 (0.9)
min < med < max:
11 < 13 < 13
IQR (CV) : 1.5 (0.1)

11 : 8 (25.8%)
12 : 7 (22.6%)
13 : 16 (51.6%)

31
(0.01%)

502587
(99.99%)

194

Type.of.special.diet.followed.3.4
[integer]

Min : 12
Mean : 12.2
Max : 13

12 : 6 (75.0%)
13 : 2 (25.0%)

8
(0%)

502610
(100%)

195

Type.of.special.diet.followed.3.5
[integer]

1 distinct value

13 : 3 (100.0%)

3
(0%)

502615
(100%)

196

Type.of.special.diet.followed.4.0
[integer]

Mean (sd) : 10.5 (1.5)
min < med < max:
8 < 10 < 13
IQR (CV) : 1 (0.1)

8 : 2312 (10.3%)
9 : 1254 ( 5.6%)
10 : 10612 (47.3%)
11 : 3206 (14.3%)
12 : 227 ( 1.0%)
13 : 4824 (21.5%)

22435
(4.46%)

480183
(95.54%)

197

Type.of.special.diet.followed.4.1
[integer]

Mean (sd) : 11 (1.6)
min < med < max:
9 < 11 < 13
IQR (CV) : 4 (0.1)

9 : 487 (25.9%)
10 : 355 (18.9%)
11 : 358 (19.0%)
12 : 54 ( 2.9%)
13 : 626 (33.3%)

1880
(0.37%)

500738
(99.63%)

198

Type.of.special.diet.followed.4.2
[integer]

Mean (sd) : 11.6 (1.3)
min < med < max:
10 < 12 < 13
IQR (CV) : 3 (0.1)

10 : 89 (32.8%)
11 : 42 (15.5%)
12 : 20 ( 7.4%)
13 : 120 (44.3%)

271
(0.05%)

502347
(99.95%)

199

Type.of.special.diet.followed.4.3
[integer]

Mean (sd) : 12 (0.8)
min < med < max:
11 < 12 < 13
IQR (CV) : 2 (0.1)

11 : 16 (32.0%)
12 : 17 (34.0%)
13 : 17 (34.0%)

50
(0.01%)

502568
(99.99%)

200

Type.of.special.diet.followed.4.4
[integer]

Min : 12
Mean : 12.1
Max : 13

12 : 13 (86.7%)
13 : 2 (13.3%)

15
(0%)

502603
(100%)

201

Type.of.special.diet.followed.4.5
[integer]

1 distinct value

13 : 7 (100.0%)

7
(0%)

502611
(100%)

202

Type.of.meals.eaten.0.0
[integer]

Mean (sd) : 464.2 (1.3)
min < med < max:
461 < 465 < 465
IQR (CV) : 2 (0)

461 : 2895 ( 4.3%)
462 : 10282 (15.4%)
463 : 5031 ( 7.5%)
464 : 4317 ( 6.5%)
465 : 44404 (66.3%)

66929
(13.32%)

435689
(86.68%)

203

Type.of.meals.eaten.0.1
[integer]

Mean (sd) : 464.7 (0.7)
min < med < max:
462 < 465 < 465
IQR (CV) : 0 (0)

462 : 296 ( 2.1%)
463 : 1147 ( 8.3%)
464 : 1072 ( 7.8%)
465 : 11270 (81.8%)

13785
(2.74%)

488833
(97.26%)

204

Type.of.meals.eaten.0.2
[integer]

Mean (sd) : 464.8 (0.5)
min < med < max:
463 < 465 < 465
IQR (CV) : 0 (0)

463 : 37 ( 6.8%)
464 : 36 ( 6.6%)
465 : 474 (86.7%)

547
(0.11%)

502071
(99.89%)

205

Type.of.meals.eaten.0.3
[integer]

Min : 464
Mean : 464.6
Max : 465

464 : 7 (35.0%)
465 : 13 (65.0%)

20
(0%)

502598
(100%)

206

Type.of.meals.eaten.0.4
[integer]

1 distinct value

465 : 1 (100.0%)

1
(0%)

502617
(100%)

207

Type.of.meals.eaten.1.0
[integer]

Mean (sd) : 464.2 (1.3)
min < med < max:
461 < 465 < 465
IQR (CV) : 2 (0)

461 : 2939 ( 3.1%)
462 : 15157 (15.9%)
463 : 5875 ( 6.2%)
464 : 6580 ( 6.9%)
465 : 64554 (67.9%)

95105
(18.92%)

407513
(81.08%)

208

Type.of.meals.eaten.1.1
[integer]

Mean (sd) : 464.7 (0.7)
min < med < max:
462 < 465 < 465
IQR (CV) : 0 (0)

462 : 332 ( 1.7%)
463 : 1488 ( 7.5%)
464 : 1498 ( 7.5%)
465 : 16573 (83.3%)

19891
(3.96%)

482727
(96.04%)

209

Type.of.meals.eaten.1.2
[integer]

Mean (sd) : 464.9 (0.4)
min < med < max:
463 < 465 < 465
IQR (CV) : 0 (0)

463 : 37 ( 4.1%)
464 : 51 ( 5.7%)
465 : 812 (90.2%)

900
(0.18%)

501718
(99.82%)

210

Type.of.meals.eaten.1.3
[integer]

Min : 464
Mean : 464.8
Max : 465

464 : 4 (25.0%)
465 : 12 (75.0%)

16
(0%)

502602
(100%)

211

Type.of.meals.eaten.1.4
[integer]

1 distinct value

465 : 2 (100.0%)

2
(0%)

502616
(100%)

212

Type.of.meals.eaten.2.0
[integer]

Mean (sd) : 464.2 (1.3)
min < med < max:
461 < 465 < 465
IQR (CV) : 2 (0)

461 : 2635 ( 3.4%)
462 : 12733 (16.3%)
463 : 4997 ( 6.4%)
464 : 5085 ( 6.5%)
465 : 52783 (67.5%)

78233
(15.57%)

424385
(84.43%)

213

Type.of.meals.eaten.2.1
[integer]

Mean (sd) : 464.7 (0.7)
min < med < max:
462 < 465 < 465
IQR (CV) : 0 (0)

462 : 346 ( 2.1%)
463 : 1312 ( 8.1%)
464 : 1068 ( 6.6%)
465 : 13512 (83.2%)

16238
(3.23%)

486380
(96.77%)

214

Type.of.meals.eaten.2.2
[integer]

Mean (sd) : 464.8 (0.5)
min < med < max:
463 < 465 < 465
IQR (CV) : 0 (0)

463 : 28 ( 4.0%)
464 : 50 ( 7.1%)
465 : 626 (88.9%)

704
(0.14%)

501914
(99.86%)

215

Type.of.meals.eaten.2.3
[integer]

Min : 464
Mean : 464.9
Max : 465

464 : 1 ( 9.1%)
465 : 10 (90.9%)

11
(0%)

502607
(100%)

216

Type.of.meals.eaten.2.4
[logical]

All NA’s

0
(0%)

502618
(100%)

217

Type.of.meals.eaten.3.0
[integer]

Mean (sd) : 464.2 (1.3)
min < med < max:
461 < 465 < 465
IQR (CV) : 2 (0)

461 : 3109 ( 3.2%)
462 : 15734 (16.2%)
463 : 6167 ( 6.3%)
464 : 6460 ( 6.6%)
465 : 65965 (67.7%)

97435
(19.39%)

405183
(80.61%)

218

Type.of.meals.eaten.3.1
[integer]

Mean (sd) : 464.7 (0.7)
min < med < max:
462 < 465 < 465
IQR (CV) : 0 (0)

462 : 374 ( 1.9%)
463 : 1480 ( 7.4%)
464 : 1485 ( 7.4%)
465 : 16738 (83.4%)

20077
(3.99%)

482541
(96.01%)

219

Type.of.meals.eaten.3.2
[integer]

Mean (sd) : 464.9 (0.4)
min < med < max:
463 < 465 < 465
IQR (CV) : 0 (0)

463 : 22 ( 2.8%)
464 : 43 ( 5.4%)
465 : 731 (91.8%)

796
(0.16%)

501822
(99.84%)

220

Type.of.meals.eaten.3.3
[integer]

Min : 464
Mean : 464.7
Max : 465

464 : 4 (30.8%)
465 : 9 (69.2%)

13
(0%)

502605
(100%)

221

Type.of.meals.eaten.3.4
[integer]

1 distinct value

465 : 2 (100.0%)

2
(0%)

502616
(100%)

222

Type.of.meals.eaten.4.0
[integer]

Mean (sd) : 464.2 (1.3)
min < med < max:
461 < 465 < 465
IQR (CV) : 1 (0)

461 : 2796 ( 3.0%)
462 : 14799 (15.8%)
463 : 5684 ( 6.1%)
464 : 6415 ( 6.9%)
465 : 63962 (68.3%)

93656
(18.63%)

408962
(81.37%)

223

Type.of.meals.eaten.4.1
[integer]

Mean (sd) : 464.7 (0.7)
min < med < max:
462 < 465 < 465
IQR (CV) : 0 (0)

462 : 313 ( 1.7%)
463 : 1433 ( 7.7%)
464 : 1368 ( 7.3%)
465 : 15577 (83.3%)

18691
(3.72%)

483927
(96.28%)

224

Type.of.meals.eaten.4.2
[integer]

Mean (sd) : 464.9 (0.4)
min < med < max:
463 < 465 < 465
IQR (CV) : 0 (0)

463 : 30 ( 3.8%)
464 : 44 ( 5.6%)
465 : 716 (90.6%)

790
(0.16%)

501828
(99.84%)

225

Type.of.meals.eaten.4.3
[integer]

Min : 464
Mean : 464.8
Max : 465

464 : 3 (23.1%)
465 : 10 (76.9%)

13
(0%)

502605
(100%)

226

Type.of.meals.eaten.4.4
[integer]

1 distinct value

465 : 1 (100.0%)

1
(0%)

502617
(100%)

227

Fasting.time.0.0
[integer]

Mean (sd) : 3.8 (2.5)
min < med < max:
0 < 3 < 72
IQR (CV) : 2 (0.6)

35 distinct values

501310
(99.74%)

1308
(0.26%)

228

Fasting.time.1.0
[integer]

Mean (sd) : 4 (1.7)
min < med < max:
0 < 4 < 25
IQR (CV) : 2 (0.4)

24 distinct values

20337
(4.05%)

482281
(95.95%)

229

Fasting.time.2.0
[integer]

Mean (sd) : 3.6 (2.1)
min < med < max:
0 < 3 < 22
IQR (CV) : 2 (0.6)

22 distinct values

13172
(2.62%)

489446
(97.38%)

230

Food.weight.sum
[numeric]

Mean (sd) : 2879.7 (4289.6)
min < med < max:
0 < 0 < 27810.5
IQR (CV) : 4712 (1.5)

54035 distinct values

502618
(100%)

0
(0%)

231

Food.weight.NA
[numeric]

Mean (sd) : 4.1 (1.3)
min < med < max:
0 < 5 < 5
IQR (CV) : 2 (0.3)

0 : 5683 ( 1.1%)
1 : 30147 ( 6.0%)
2 : 42325 ( 8.4%)
3 : 48169 ( 9.6%)
4 : 84101 (16.7%)
5 : 292193 (58.1%)

502618
(100%)

0
(0%)

232

Food.weight.N.answered
[numeric]

Mean (sd) : 0.9 (1.3)
min < med < max:
0 < 0 < 5
IQR (CV) : 2 (1.4)

0 : 292193 (58.1%)
1 : 84101 (16.7%)
2 : 48169 ( 9.6%)
3 : 42325 ( 8.4%)
4 : 30147 ( 6.0%)
5 : 5683 ( 1.1%)

502618
(100%)

0
(0%)

233

Food.weight.average
[numeric]

Mean (sd) : 3180.3 (764.1)
min < med < max:
0 < 3113.2 < 6538
IQR (CV) : 971.8 (0.2)

51312 distinct values

210425
(41.87%)

292193
(58.13%)