% Determinants of Plasma Retinol and Beta-Carotene Levels
% 
% Summary:
% Observational studies have suggested that low dietary intake or low plasma concentrations of retinol, beta-carotene, or other carotenoids might be associated with increased risk of developing certain types of cancer.  However, relatively few studies have investigated the determinants of plasma concentrations of these micronutrients. We designed a cross-sectional study to investigate the relationship between personal characteristics and dietary factors, and plasma concentrations of retinol, beta-carotene and other carotenoids. Study subjects (N = 315) were patients who had an elective surgical procedure during a three-year period to biopsy or remove a lesion of the lung, colon, breast, skin, ovary or uterus that was found to be non-cancerous. We display the data for only two of the analytes.
% 	Plasma concentrations of the micronutrients varied widely from subject to subject.  While plasma retinol levels varied by age and sex, the only dietary predictor was alcohol consumption (R^2 = .38). Plasma beta-carotene levels were log-transformed prior to the analyses due to severe asymmetry of the residuals on the original scale. For log beta-carotene, dietary intake, regular use of vitamins, and intake of fiber were associated with higher plasma concentrations, while Quetelet Index (defined as weight/height^2 in the units kg/m^2) and cholesterol intake were associated with lower plasma levels, adjusting for the other factors (R^2 = .50). There was one extremely high leverage point in alcohol consumption that was deleted prior to the analyses. Plasma concentrations of retinol and beta-carotene were not correlated.
% 	We conclude that there is wide variability in plasma concentrations of these micronutrients in humans, and that much of this variability is associated with dietary habits and personal characteristics.  A better understanding of the physiological relationship between some personal characteristics and plasma concentrations of these micronutrients will require further study.
% 
% Authorization: Contact Authors
% 
% Reference: These data have not been published yet but a related reference is
% Nierenberg DW, Stukel TA, Baron JA, Dain BJ, Greenberg ER.  Determinants of plasma levels of beta-carotene and retinol.  American Journal of Epidemiology 1989;130:511-521.
% 
% Description:  This datafile contains 315 observations on 14 variables.  This data set can be used to demonstrate multiple regression, transformations, categorical variables, outliers, pooled tests of significance and model building strategies. 
% 
% Variable Names in order from left to right:
% 	AGE: Age (years)
% 	SEX: Sex (1=Male, 2=Female).
% 	SMOKSTAT: Smoking status (1=Never, 2=Former, 3=Current Smoker)
% 	QUETELET: Quetelet (weight/(height^2))
% 	VITUSE: Vitamin Use (1=Yes, fairly often, 2=Yes, not often, 3=No)
% 	CALORIES: Number of calories consumed per day.
% 	FAT: Grams of fat consumed per day.
% 	FIBER: Grams of fiber consumed per day.
% 	ALCOHOL: Number of alcoholic drinks consumed per week.
% 	CHOLESTEROL: Cholesterol consumed (mg per day).
% 	BETADIET: Dietary beta-carotene consumed (mcg per day).
% 	RETDIET: Dietary retinol consumed (mcg per day)
% 	BETAPLASMA: Plasma beta-carotene (ng/ml)
% 	RETPLASMA: Plasma Retinol (ng/ml)
% 
% 
% 
% 
% Therese Stukel
% Dartmouth Hitchcock Medical Center
% One Medical Center Dr.
% Lebanon, NH 03756
% e-mail: stukel@dartmouth.edu
% 
% 
% Information about the dataset
% CLASSTYPE: numeric
% CLASSINDEX: none specific
% 
@relation plasma_retinol
@attribute AGE numeric
@attribute SEX {Female,Male}
@attribute SMOKSTAT {Current_Smoker,Former,Never}
@attribute QUETELET numeric
@attribute VITUSE {No,Yes_fairly_often,Yes_not_often}
@attribute CALORIES numeric
@attribute FAT numeric
@attribute FIBER numeric
@attribute ALCOHOL numeric
@attribute CHOLESTEROL numeric
@attribute BETADIET numeric
@attribute RETDIET numeric
@attribute BETAPLASMA numeric
@attribute RETPLASMA numeric

@data
64,Female,Former,21.4838,Yes_fairly_often,1298,57.0,6.3,0.0,170.3,1945,890,200,915
76,Female,Never,23.87631,Yes_fairly_often,1032,50.1,15.8,0.0,75.8,2653,451,124,727
38,Female,Former,20.0108,Yes_not_often,2372,83.6,19.1,14.1,257.9,6321,660,328,721
40,Female,Former,25.14062,No,2449,97.5,26.5,0.5,332.6,1061,864,153,615
72,Female,Never,20.98504,Yes_fairly_often,1952,82.6,16.2,0.0,170.8,2863,1209,92,799
40,Female,Former,27.52136,No,1366,56.0,9.6,1.3,154.6,1729,1439,148,654
65,Female,Never,22.01154,Yes_not_often,2213,52.0,28.7,0.0,255.1,5371,802,258,834
58,Female,Never,28.75702,Yes_fairly_often,1595,63.4,10.9,0.0,214.1,823,2571,64,825
35,Female,Never,23.07662,No,1800,57.8,20.3,0.6,233.6,2895,944,218,517
55,Female,Former,34.96995,No,1263,39.6,15.5,0.0,171.9,3307,493,81,562
66,Female,Former,20.94647,Yes_fairly_often,1460,58.0,18.2,1.0,137.4,1714,535,184,935
40,Female,Never,36.43161,Yes_not_often,1638,49.3,14.9,0.0,130.7,2031,492,91,741
57,Male,Never,31.73039,No,2072,106.7,9.6,0.9,420.0,1982,1105,120,679
66,Female,Never,21.78854,Yes_fairly_often,987,35.6,10.3,0.0,254.9,2120,1047,61,507
66,Male,Never,27.31916,No,1574,75.0,7.1,0.0,361.5,1388,980,108,852
64,Male,Former,31.44674,No,2868,128.8,15.0,20.0,379.5,3888,1545,211,1249
62,Male,Former,25.90246,Yes_fairly_often,1751,80.7,8.4,14.1,160.3,2194,242,235,1035
75,Male,Former,29.15264,Yes_fairly_often,1407,35.0,20.8,7.0,144.1,3470,479,288,1262
68,Female,Never,38.18727,No,1628,78.6,11.6,0.0,512.3,2108,921,102,904
57,Male,Former,25.89669,No,1101,48.5,8.5,5.0,197.2,1157,445,113,1727
56,Male,Former,24.45884,No,2433,127.6,19.9,7.1,271.2,1739,926,74,684
30,Female,Former,22.72121,No,1437,61.5,8.8,2.3,160.9,1008,695,129,537
34,Female,Never,24.08119,No,2062,81.1,13.6,18.0,190.5,606,944,140,760
53,Female,Former,23.15985,Yes_not_often,1276,50.1,9.0,4.7,143.5,1380,708,138,809
60,Female,Never,49.12033,Yes_fairly_often,2114,77.6,14.9,0.5,239.9,4916,1150,143,697
50,Female,Never,23.07662,Yes_fairly_often,1113,32.8,12.9,3.0,104.8,4451,554,416,676
62,Female,Former,33.72441,Yes_not_often,1323,60.8,11.4,0.0,155.8,5983,320,212,822
61,Female,Never,25.18267,Yes_fairly_often,2837,84.2,33.8,0.0,192.1,2413,656,786,691
65,Male,Never,28.94981,No,2055,111.8,15.9,0.0,226.5,3087,1199,35,599
71,Male,Former,24.67999,No,1285,55.4,10.6,2.0,353.4,521,975,122,901
43,Female,Former,28.40151,No,1786,93.9,10.6,0.0,247.0,2431,914,119,818
33,Female,Former,20.5696,Yes_not_often,3144,155.0,17.6,4.1,308.8,3141,1579,182,623
74,Female,Current_Smoker,16.33114,No,1241,53.1,10.8,0.1,206.1,1668,1618,186,624
41,Female,Never,21.03125,No,2419,122.7,16.2,0.3,325.2,4366,1759,216,526
56,Male,Former,22.64384,Yes_not_often,2712,145.3,13.4,8.0,242.6,494,608,751,1002
44,Female,Current_Smoker,25.87867,Yes_fairly_often,1810,95.3,17.5,0.0,253.1,7026,508,39,179
37,Female,Former,35.36012,Yes_not_often,1778,75.9,10.8,0.5,332.6,1529,517,107,564
37,Female,Former,25.94005,No,1147,47.6,7.3,0.1,117.0,241,314,74,456
39,Male,Current_Smoker,21.99912,Yes_fairly_often,1951,109.1,4.7,0.0,461.1,998,588,418,665
37,Female,Never,22.51215,Yes_fairly_often,2035,65.7,22.1,0.7,205.3,6082,674,1415,632
53,Female,Never,27.49272,No,1248,56.9,8.2,0.0,223.2,2741,419,400,502
66,Female,Former,27.49609,No,3184,199.0,16.8,0.2,362.6,2100,1083,102,838
58,Female,Former,24.17971,Yes_not_often,1538,78.7,14.2,0.9,231.2,2359,834,135,574
31,Female,Current_Smoker,23.34593,Yes_not_often,1456,56.6,8.5,1.0,182.7,603,473,97,611
49,Female,Never,21.67837,Yes_not_often,1656,59.5,13.3,0.1,180.3,1625,707,124,476
75,Female,Never,21.32906,Yes_fairly_often,1396,53.3,13.2,3.2,99.3,2888,323,195,546
62,Female,Never,33.74417,Yes_fairly_often,1588,88.9,7.4,0.0,362.6,1099,651,107,411
56,Female,Never,32.07484,No,1566,95.2,6.5,7.2,408.0,2103,855,53,475
69,Male,Former,31.66835,Yes_fairly_often,827,32.8,8.7,0.0,79.8,2260,264,148,321
50,Female,Current_Smoker,25.11194,No,2340,110.4,11.3,14.0,260.7,452,550,77,388
50,Female,Never,20.40345,No,1902,72.9,35.4,7.3,175.6,3549,969,316,586
72,Female,Never,39.22295,Yes_fairly_often,1111,47.2,10.2,0.2,69.4,2204,239,77,648
60,Female,Never,19.9326,Yes_not_often,1333,37.1,16.9,6.5,84.0,4964,374,266,550
55,Male,Former,21.63617,No,1896,82.2,9.3,10.0,296.8,1052,605,39,783
43,Female,Never,29.00466,Yes_fairly_often,1472,61.8,12.2,0.0,216.3,3572,809,225,258
29,Female,Never,18.83396,Yes_fairly_often,2237,77.6,22.6,0.7,180.6,2902,1065,173,299
44,Female,Current_Smoker,29.11351,Yes_not_often,1446,63.2,9.5,3.2,208.8,1788,677,79,384
48,Female,Former,32.34834,Yes_fairly_often,2908,139.1,16.4,0.2,511.6,5111,1359,102,692
38,Female,Never,23.85727,Yes_not_often,2190,96.9,17.7,1.3,192.1,1378,685,158,634
33,Female,Never,19.409,Yes_not_often,1878,81.6,9.6,4.9,265.8,1431,724,159,592
56,Female,Never,16.63666,Yes_fairly_often,1436,57.2,9.4,0.0,183.3,1727,898,157,383
65,Male,Current_Smoker,23.37617,No,6662,164.3,11.3,203.0,603.0,2893,1364,96,317
48,Female,Never,30.29495,Yes_fairly_often,2893,125.8,18.8,1.7,256.7,2524,1250,160,247
66,Male,Former,22.57426,Yes_fairly_often,1902,76.7,17.7,3.1,216.7,2533,592,100,730
78,Female,Former,26.36754,Yes_fairly_often,1531,69.5,5.4,0.0,168.0,982,854,293,587
65,Male,Never,23.54244,No,1220,34.6,16.5,5.6,152.8,1535,493,171,407
72,Female,Former,22.01188,No,1247,46.8,10.2,0.0,347.9,326,407,89,831
31,Female,Current_Smoker,21.07775,Yes_not_often,1631,75.2,8.5,0.7,277.1,1487,1120,109,531
74,Female,Former,25.7393,No,818,34.3,6.6,3.7,55.4,1114,453,129,560
61,Female,Never,25.18267,No,1570,58.7,19.3,2.0,158.3,1080,724,87,397
83,Female,Never,25.20677,Yes_not_often,1331,50.6,7.7,0.3,380.7,2492,1310,328,768
46,Female,Former,30.70965,Yes_not_often,2052,120.4,10.2,0.0,195.2,1349,860,298,393
62,Female,Former,23.92168,Yes_fairly_often,1823,80.3,17.4,6.2,256.8,6948,417,379,810
56,Female,Current_Smoker,20.64102,No,1743,85.3,13.2,7.2,349.6,1086,464,204,624
33,Male,Never,26.63693,Yes_fairly_often,3457,166.0,17.5,10.5,452.8,2629,1470,75,227
45,Female,Former,22.36111,No,1126,20.4,12.5,7.2,71.8,1307,178,127,525
41,Female,Former,23.09389,Yes_fairly_often,3258,101.2,26.2,0.5,341.7,1306,1163,131,542
73,Male,Former,24.67999,No,2833,119.9,14.6,18.2,365.0,3465,743,21,558
31,Female,Former,21.33144,Yes_not_often,2264,105.5,13.4,3.2,396.5,1846,760,233,504
50,Male,Never,25.11989,Yes_fairly_often,2026,85.5,11.2,21.0,268.2,1334,486,73,1031
65,Female,Never,28.40199,No,1747,83.6,10.9,0.0,244.8,4848,1005,25,187
35,Female,Current_Smoker,21.83403,Yes_fairly_often,1575,53.9,7.0,1.0,216.2,1734,1215,137,677
42,Male,Former,29.03568,Yes_fairly_often,1785,94.1,10.0,0.7,288.0,1120,619,82,783
19,Female,Never,29.24145,Yes_fairly_often,2558,116.1,12.3,0.0,324.5,1498,1066,327,693
37,Female,Never,19.98613,Yes_fairly_often,839,29.2,4.7,6.4,66.5,330,394,142,511
44,Female,Former,24.08119,Yes_fairly_often,2391,95.4,20.6,0.0,283.3,5909,1702,86,435
36,Female,Former,23.34593,No,1887,110.2,6.0,0.1,211.7,3326,928,150,362
53,Male,Current_Smoker,25.14062,No,2798,125.9,17.7,7.0,239.0,2110,1458,53,592
69,Male,Current_Smoker,27.22886,No,2654,126.0,23.3,0.0,248.0,2719,1323,112,360
74,Female,Never,27.98617,Yes_fairly_often,1202,46.6,11.4,0.0,59.2,2309,578,104,476
70,Female,Never,22.53312,Yes_fairly_often,1235,51.1,9.6,3.0,142.0,1153,1048,170,369
56,Female,Former,26.3173,No,2225,111.5,10.4,6.8,283.7,1432,1006,150,619
77,Female,Never,27.79046,Yes_fairly_often,866,31.0,9.8,0.2,59.7,2493,640,282,472
73,Male,Former,24.41719,Yes_fairly_often,1666,76.5,13.3,0.0,747.5,3054,4041,91,426
43,Female,Former,23.0381,Yes_fairly_often,3711,202.7,14.9,18.0,469.2,1861,783,125,592
41,Male,Never,23.61695,Yes_not_often,1055,33.2,12.9,0.9,220.0,4268,341,282,426
22,Female,Former,27.00534,Yes_fairly_often,2733,123.8,5.1,0.3,440.3,1652,1525,16,799
44,Female,Former,23.46046,Yes_fairly_often,1660,80.3,13.6,0.1,89.0,1802,233,129,497
51,Female,Former,25.1571,No,1952,63.8,17.9,11.0,201.3,2308,1838,180,622
46,Male,Current_Smoker,35.25969,No,2667,131.6,10.1,0.0,550.5,1210,1291,39,549
25,Female,Current_Smoker,20.64102,Yes_fairly_often,1517,59.1,5.9,0.0,127.6,214,914,54,539
69,Male,Former,23.00561,Yes_not_often,1711,98.2,10.8,0.3,332.4,1370,695,78,522
69,Male,Former,25.23171,No,1756,82.3,8.8,0.0,500.3,2354,842,34,551
58,Female,Never,27.33692,Yes_not_often,2186,99.3,14.9,0.2,263.8,2446,881,95,466
77,Male,Never,25.88131,Yes_not_often,2075,75.6,21.4,0.0,228.8,3473,1326,174,423
67,Male,Former,24.73525,No,2021,94.8,13.3,8.0,417.6,3359,1060,95,797
37,Female,Former,29.32557,Yes_not_often,1653,77.3,12.5,1.0,162.6,1062,1070,97,532
47,Female,Former,21.1882,Yes_not_often,1076,33.4,22.5,4.1,138.8,1489,490,204,422
60,Female,Current_Smoker,19.67728,No,1506,76.3,14.6,0.0,239.2,3982,350,25,421
49,Female,Former,25.06996,Yes_not_often,1511,54.4,16.1,4.2,200.5,1656,652,270,527
83,Male,Former,25.59772,Yes_fairly_often,1933,98.8,11.1,0.0,224.7,768,719,285,512
56,Female,Never,22.01188,Yes_fairly_often,1830,52.8,13.8,8.5,689.4,1496,546,110,756
39,Female,Never,30.29128,No,1256,43.7,5.3,0.3,133.6,683,627,162,456
41,Female,Never,41.85592,Yes_not_often,1823,54.7,14.6,0.0,188.0,885,687,179,456
37,Female,Current_Smoker,28.3357,No,1902,81.7,8.2,0.0,178.6,1662,779,131,449
66,Female,Never,26.50808,No,958,37.7,8.3,0.0,108.6,1552,326,86,406
55,Female,Never,21.07775,Yes_not_often,2328,112.6,13.9,2.9,281.9,2144,815,225,519
49,Female,Former,39.46498,Yes_fairly_often,1574,74.6,14.1,0.0,440.6,3567,963,249,464
31,Female,Former,18.98362,Yes_fairly_often,1646,52.2,13.2,5.0,174.9,1423,1845,254,523
64,Female,Never,18.87834,Yes_fairly_often,1828,63.4,14.7,0.0,87.9,1293,1101,189,588
57,Female,Never,23.22115,Yes_fairly_often,1288,63.2,10.6,0.0,200.2,2111,950,108,564
42,Female,Current_Smoker,26.84912,Yes_fairly_often,1084,25.2,21.8,1.0,105.7,2874,159,121,927
40,Male,Former,25.88131,Yes_fairly_often,2431,93.7,17.8,0.1,364.6,1699,2263,238,953
73,Male,Current_Smoker,19.409,No,2453,118.5,10.3,0.0,516.5,954,1328,127,516
37,Female,Never,19.57075,Yes_not_often,1645,76.0,6.6,4.0,225.9,1368,427,141,669
43,Female,Never,20.297,No,2075,96.5,17.3,7.0,271.8,3318,651,427,572
66,Female,Never,26.42051,Yes_not_often,1563,73.3,12.0,1.1,300.9,2247,728,305,727
26,Female,Never,20.37946,No,1663,64.6,7.6,2.0,124.7,910,605,74,544
45,Female,Former,29.24145,Yes_fairly_often,1601,93.9,8.8,0.0,255.8,1171,453,156,917
74,Female,Never,30.29495,Yes_not_often,1718,57.9,15.0,1.2,272.7,2077,1374,168,586
49,Female,Never,21.47901,No,1010,29.4,9.1,6.2,98.8,1210,555,116,516
41,Female,Former,19.409,Yes_fairly_often,1372,61.6,9.5,0.0,182.5,1826,386,290,404
74,Male,Never,27.31916,No,1837,76.9,13.6,0.0,383.6,2628,966,304,709
38,Female,Current_Smoker,21.84508,No,1662,58.7,15.7,3.7,163.7,561,947,198,429
83,Male,Never,22.22237,Yes_fairly_often,1534,54.9,26.3,0.0,77.5,1893,426,253,629
70,Female,Never,28.04696,Yes_fairly_often,2005,89.5,8.5,0.1,121.2,1312,688,148,1139
39,Female,Former,26.09433,Yes_not_often,1187,32.8,11.6,0.0,154.9,1913,1048,492,466
65,Female,Never,21.58515,Yes_fairly_often,1446,56.8,10.8,0.0,127.9,924,684,156,372
72,Female,Former,21.03125,Yes_fairly_often,976,68.4,3.1,0.0,99.6,728,797,27,558
46,Male,Former,23.67727,No,2706,104.9,16.8,22.0,416.0,4387,926,52,476
46,Female,Never,30.05871,No,1546,73.6,10.3,7.0,284.8,1976,417,210,418
51,Female,Never,34.18512,No,1324,46.0,12.7,0.0,151.0,2422,208,83,564
39,Female,Never,24.08119,Yes_fairly_often,1368,61.6,14.4,6.7,314.9,1407,1335,182,431
33,Female,Current_Smoker,20.16133,No,3228,141.1,14.4,0.0,718.8,1301,307,40,485
49,Male,Former,31.72627,No,2825,97.8,7.5,35.0,374.3,1112,735,69,733
44,Female,Never,23.39316,No,1220,35.1,14.0,0.0,99.2,1052,441,172,402
69,Female,Never,24.26126,No,1174,47.4,9.9,0.1,89.9,1008,783,253,760
52,Female,Former,27.83348,No,828,52.3,6.1,1.2,141.1,1054,366,435,659
82,Female,Never,20.21771,Yes_fairly_often,1708,94.2,15.1,2.0,224.7,1484,790,429,599
46,Female,Never,23.47858,No,1182,60.2,5.2,0.2,164.5,657,441,326,495
25,Female,Never,22.70512,Yes_not_often,928,29.7,6.0,0.5,120.7,604,432,75,436
54,Female,Never,37.86868,Yes_fairly_often,4373,235.9,22.9,0.1,814.7,2912,2104,121,416
70,Female,Never,25.7393,Yes_not_often,1387,55.2,11.2,0.0,114.0,869,1595,292,701
35,Female,Never,18.43855,Yes_not_often,1555,72.8,11.5,0.0,174.1,1578,689,207,553
46,Female,Never,33.19482,Yes_not_often,1581,64.1,12.3,0.1,170.1,1210,795,118,652
70,Male,Never,29.59659,No,1397,60.5,9.2,0.0,228.5,1554,675,108,621
71,Female,Former,22.15318,Yes_fairly_often,1305,43.3,10.2,0.0,72.7,3445,1015,385,617
59,Female,Never,26.88677,Yes_fairly_often,1249,24.2,14.7,0.0,97.2,3014,1340,408,784
42,Female,Never,20.5412,Yes_fairly_often,2347,104.4,12.5,0.0,249.3,1666,859,97,352
46,Female,Never,39.40624,No,1207,42.8,11.6,0.0,155.1,1462,868,118,677
37,Female,Former,33.37234,Yes_fairly_often,1688,45.0,17.1,0.8,141.1,1272,145,60,520
39,Female,Former,21.94091,Yes_not_often,1719,49.7,18.4,11.0,164.6,5296,554,357,474
43,Female,Former,25.58279,Yes_fairly_often,2501,121.1,19.5,0.0,343.0,5605,858,858,643
23,Female,Never,20.12592,Yes_fairly_often,2219,120.9,13.1,2.0,415.8,2430,746,104,400
45,Female,Former,20.23978,Yes_fairly_often,1827,71.2,10.4,2.0,267.5,2375,1284,219,627
63,Female,Never,23.92168,Yes_fairly_often,1282,26.4,13.6,0.1,100.6,3753,649,296,701
44,Female,Current_Smoker,28.34863,Yes_not_often,1427,60.6,8.3,0.2,195.0,695,270,164,566
43,Female,Never,20.40345,Yes_fairly_often,2000,86.7,14.8,0.9,200.9,1649,751,487,453
33,Female,Former,27.86945,No,1622,71.5,12.9,1.0,214.8,2317,437,70,428
35,Female,Former,34.08181,No,3114,160.2,14.9,0.2,432.3,1702,1224,43,434
50,Female,Never,23.07159,No,2012,112.9,14.3,6.5,456.9,1007,6901,274,592
50,Female,Former,29.01566,Yes_not_often,2106,97.0,12.9,0.0,344.3,2308,982,231,413
59,Female,Former,25.59772,Yes_fairly_often,1546,72.9,15.1,0.7,192.8,4694,864,346,849
38,Female,Former,23.07662,No,1149,43.6,8.6,10.5,122.5,2749,329,181,727
60,Female,Former,29.74753,No,659,22.2,7.0,0.1,102.0,1497,244,116,700
54,Female,Former,19.17702,Yes_fairly_often,1580,82.9,9.4,5.2,98.3,1171,465,391,499
71,Male,Former,24.46343,No,1850,75.9,16.1,7.2,247.9,3054,629,85,853
48,Female,Former,22.53187,Yes_fairly_often,1242,37.5,13.3,1.0,148.4,1488,706,800,532
49,Female,Never,32.01772,Yes_fairly_often,1099,56.9,5.2,0.5,169.9,829,887,286,561
27,Female,Current_Smoker,29.24145,No,1127,59.4,7.4,0.0,183.4,1037,239,87,378
27,Female,Current_Smoker,25.44536,Yes_not_often,2919,125.3,14.3,1.0,370.0,846,2118,74,419
75,Female,Never,21.52782,Yes_fairly_often,1049,51.7,8.0,0.0,188.9,1382,222,460,694
45,Female,Never,26.42051,Yes_not_often,1366,42.5,12.9,2.5,141.2,3407,532,154,437
35,Female,Never,30.44551,No,1884,91.6,11.1,5.0,518.0,758,454,206,657
56,Female,Former,33.59213,Yes_fairly_often,1494,59.1,6.8,0.0,111.5,599,845,19,396
41,Female,Current_Smoker,27.52136,Yes_not_often,1444,89.1,6.8,0.0,280.1,1073,486,168,569
48,Female,Never,32.99127,Yes_fairly_often,445,14.4,5.0,0.0,102.8,862,160,108,493
48,Female,Never,21.83513,Yes_fairly_often,1849,80.6,13.8,3.2,549.1,4291,661,274,344
32,Female,Former,20.15787,Yes_not_often,1678,54.3,12.9,1.5,147.3,1668,666,120,620
38,Female,Never,46.73763,Yes_not_often,1390,55.7,10.8,0.0,195.1,2809,482,53,277
52,Female,Never,33.29617,Yes_not_often,1749,81.3,12.1,0.0,226.5,2373,1816,105,464
40,Female,Never,24.01031,No,742,36.5,5.9,2.1,133.9,1850,309,159,542
44,Female,Never,23.07159,No,1148,50.3,7.1,0.1,139.2,1352,455,83,824
70,Female,Never,22.4821,Yes_fairly_often,1730,72.9,14.4,0.2,363.1,2315,1196,425,602
55,Female,Current_Smoker,29.03568,No,1162,54.0,5.6,0.2,175.2,1417,451,99,670
48,Female,Never,20.21771,Yes_fairly_often,1738,63.5,12.2,0.5,205.9,4504,294,159,569
38,Female,Former,20.71761,No,1432,58.5,6.3,0.2,131.9,998,699,111,443
49,Female,Never,20.40345,Yes_fairly_often,3098,106.2,25.2,1.2,447.6,4430,632,316,399
36,Female,Former,32.95942,Yes_not_often,2342,95.8,19.2,1.7,389.4,3201,1574,105,489
64,Female,Never,21.50106,Yes_fairly_often,2319,97.6,22.3,0.0,155.3,3686,523,317,491
49,Female,Former,23.67945,Yes_not_often,1292,43.1,10.6,11.0,180.7,2131,227,372,1443
49,Female,Current_Smoker,22.72159,Yes_fairly_often,784,40.6,4.9,3.0,97.4,852,311,116,602
43,Female,Never,22.91464,Yes_not_often,2038,80.7,17.1,0.0,232.3,2781,757,229,748
33,Female,Never,23.93777,Yes_not_often,1366,55.9,6.2,0.0,196.0,1151,498,51,602
38,Female,Never,26.09433,Yes_fairly_often,1550,66.8,12.1,0.0,253.2,3970,390,286,502
36,Female,Never,19.76645,Yes_not_often,1240,50.9,6.9,0.3,116.0,808,349,110,527
33,Female,Former,21.67339,Yes_not_often,2814,111.2,16.8,0.0,399.3,843,1616,143,470
47,Female,Former,20.81303,Yes_fairly_often,1612,45.5,9.0,15.0,149.9,2537,295,1212,566
53,Female,Never,40.68923,Yes_fairly_often,1576,54.8,13.5,0.1,308.9,2205,824,174,491
41,Female,Never,29.14229,Yes_fairly_often,1197,54.5,4.9,0.0,135.6,587,215,86,663
36,Female,Never,21.07775,Yes_fairly_often,2045,84.8,13.2,0.7,271.9,3591,1178,132,526
32,Female,Former,35.97525,Yes_not_often,3328,163.3,20.0,4.1,425.5,3434,2167,58,556
57,Female,Former,26.94287,Yes_fairly_often,2513,98.9,10.6,0.0,428.1,2869,741,77,394
42,Female,Never,21.67837,Yes_fairly_often,1737,62.1,16.3,0.2,211.7,2515,1340,237,737
37,Female,Current_Smoker,27.26545,Yes_fairly_often,1034,34.5,8.9,0.0,118.5,807,141,41,573
52,Female,Never,32.67183,Yes_fairly_often,2083,93.1,8.8,0.0,328.1,766,604,103,713
45,Female,Current_Smoker,28.72542,Yes_not_often,1481,75.3,10.4,0.2,336.9,720,701,193,777
42,Female,Never,20.76896,No,1051,44.0,10.9,0.2,165.5,516,730,153,437
42,Female,Never,21.20646,Yes_fairly_often,1730,58.3,16.6,4.5,196.1,3785,642,1391,609
41,Female,Current_Smoker,20.71761,No,1102,56.6,5.3,0.0,329.8,1436,522,89,481
41,Female,Never,26.31172,Yes_fairly_often,1496,64.6,5.9,1.0,239.8,613,509,84,471
26,Female,Current_Smoker,20.5412,Yes_fairly_often,1987,76.6,9.8,0.0,156.1,1460,322,36,296
70,Female,Never,20.16133,No,2017,136.0,7.6,0.0,195.8,2251,1404,494,499
44,Female,Never,26.36754,Yes_fairly_often,1525,85.4,7.9,0.1,179.4,2029,898,78,559
46,Female,Never,28.40199,No,1342,69.7,5.9,1.0,215.4,8046,453,102,701
22,Female,Never,50.40333,No,1511,64.4,10.2,0.0,190.3,1074,399,50,332
46,Female,Current_Smoker,21.67837,No,1570,74.1,13.7,0.9,145.7,3556,577,211,388
32,Female,Never,20.05597,Yes_fairly_often,2703,120.6,11.4,0.1,284.3,1218,978,159,879
27,Female,Former,23.87631,No,1200,61.5,8.7,1.5,208.7,2199,481,89,323
52,Female,Never,37.11131,No,1891,73.8,17.6,0.0,226.0,5810,840,108,625
42,Female,Never,36.59729,Yes_fairly_often,1434,59.3,11.2,0.0,281.1,1214,1119,188,614
34,Female,Never,28.5795,No,2118,93.0,20.1,0.0,170.0,2215,1450,75,525
36,Female,Never,40.29532,Yes_not_often,1414,51.2,13.7,0.0,135.8,1678,1307,14,432
59,Female,Former,24.80399,Yes_fairly_often,2192,78.7,14.2,0.0,173.5,2579,1026,165,734
75,Female,Never,36.47368,Yes_not_often,1380,54.5,13.5,0.1,201.6,925,707,143,364
43,Female,Never,45.85808,Yes_fairly_often,1626,72.2,7.9,0.0,157.5,404,1050,241,387
56,Male,Former,30.48244,No,2210,113.1,10.5,6.1,340.1,2008,638,97,709
48,Female,Former,19.70388,No,1600,77.7,11.2,7.2,180.1,2469,538,76,561
34,Female,Current_Smoker,21.96384,No,1076,52.7,6.1,0.0,78.3,755,417,169,418
37,Female,Never,23.34593,Yes_not_often,2094,78.9,17.3,1.0,193.4,1718,1052,222,413
41,Female,Former,31.82158,Yes_not_often,1823,74.8,12.1,1.3,196.9,2133,728,82,506
74,Female,Never,23.34593,Yes_fairly_often,1512,73.8,8.7,5.7,182.8,1167,1169,324,628
73,Female,Never,21.01134,No,840,34.3,8.2,0.1,81.1,619,79,146,578
53,Female,Current_Smoker,19.78098,Yes_not_often,1996,98.8,9.2,0.0,436.8,908,1478,126,486
74,Male,Never,21.13641,No,2171,76.6,20.4,0.0,176.3,3690,1113,293,875
77,Female,Former,24.32719,Yes_fairly_often,1481,55.0,11.2,0.0,191.7,3425,859,183,817
39,Female,Never,21.17809,Yes_fairly_often,1829,79.0,15.6,0.0,178.4,2787,1210,170,647
29,Female,Never,18.6003,Yes_not_often,1041,45.4,6.0,3.0,139.5,675,403,129,820
37,Female,Never,44.91065,Yes_not_often,2010,101.2,16.0,0.1,362.4,2142,601,129,557
47,Female,Never,23.96418,No,2120,77.4,17.0,8.4,185.9,2299,1529,92,520
64,Female,Never,21.20646,No,1008,35.4,5.6,14.0,37.7,544,30,44,521
36,Female,Former,42.88865,No,798,30.6,7.9,2.4,46.3,604,378,51,498
42,Female,Former,20.41723,No,3099,134.9,19.0,0.8,469.3,6558,816,103,436
64,Female,Former,25.65988,Yes_not_often,2055,114.4,13.0,0.0,248.4,2661,854,101,291
38,Female,Former,20.70294,Yes_fairly_often,2585,129.8,21.1,4.0,429.5,7362,964,372,293
39,Female,Never,28.40151,Yes_not_often,1906,86.4,10.4,15.5,265.9,2583,632,78,600
40,Female,Never,31.24219,Yes_fairly_often,3014,165.7,14.4,0.0,900.7,1028,3061,0,254
29,Female,Never,37.93996,Yes_fairly_often,1631,55.6,13.8,0.5,189.5,3435,1104,84,644
71,Female,Former,24.98825,No,1399,66.5,9.6,8.0,260.0,1527,822,161,636
45,Female,Never,23.43164,Yes_fairly_often,2319,122.1,13.4,0.1,305.7,2047,1125,331,684
63,Female,Never,18.92094,No,1655,70.8,15.1,0.1,177.3,2897,505,366,535
46,Female,Former,24.26126,Yes_not_often,1422,58.3,7.8,7.1,206.3,1987,608,990,584
75,Female,Never,21.67837,Yes_fairly_often,2511,92.3,36.8,0.6,228.3,4271,916,1010,473
46,Female,Never,35.19069,Yes_not_often,740,38.5,5.3,0.0,113.9,868,106,236,647
44,Female,Former,22.54403,Yes_not_often,1292,49.4,10.4,1.2,186.5,578,319,175,880
24,Female,Never,31.99715,No,3021,171.0,11.4,0.1,466.3,953,1176,67,376
32,Female,Never,22.51215,Yes_fairly_often,1918,63.1,16.1,5.0,202.2,1048,991,129,864
66,Female,Never,22.64384,No,2086,72.3,16.0,0.0,112.8,1439,476,317,589
43,Female,Never,26.34755,Yes_not_often,3449,172.8,20.5,1.4,381.3,3324,1558,168,510
73,Female,Former,24.94123,Yes_fairly_often,1186,46.1,10.5,1.5,119.7,921,668,613,770
54,Female,Never,25.75009,Yes_fairly_often,1724,75.1,18.2,0.0,173.3,1192,657,274,543
44,Female,Current_Smoker,29.97738,No,1877,92.2,7.7,0.2,211.6,1665,937,94,791
55,Female,Former,22.87713,No,2272,94.5,10.9,14.2,269.2,3610,1825,122,537
70,Female,Current_Smoker,23.82703,No,1514,51.7,14.2,7.0,97.5,3317,766,232,516
32,Female,Former,25.45726,Yes_fairly_often,2170,95.1,15.2,0.2,175.2,3313,1250,167,466
33,Male,Never,23.26895,Yes_not_often,2271,114.6,10.4,0.0,574.2,1270,544,32,194
49,Female,Former,22.50636,No,1469,50.4,12.1,0.7,118.8,1915,594,128,759
69,Female,Former,44.20619,No,2332,109.6,19.7,0.1,286.7,4013,1485,151,823
38,Female,Never,20.71735,Yes_not_often,1619,83.7,8.4,0.5,310.1,902,302,206,426
34,Female,Current_Smoker,34.08181,No,1148,41.7,9.8,1.0,173.4,2247,682,75,403
49,Female,Never,20.08955,Yes_fairly_often,2512,64.9,30.2,0.6,168.5,4832,793,447,516
40,Female,Current_Smoker,18.34323,Yes_not_often,833,38.8,5.5,0.0,145.3,577,444,339,560
41,Female,Former,28.04696,No,1808,61.5,10.5,17.0,176.1,1884,641,89,746
62,Female,Former,29.84944,No,2115,84.1,23.9,0.0,189.5,3172,658,39,368
28,Female,Never,20.125,Yes_not_often,1600,68.0,14.2,0.2,171.2,3102,453,88,792
78,Female,Never,41.68569,Yes_not_often,647,30.9,3.7,0.0,87.5,1186,466,114,719
67,Female,Never,30.73092,Yes_fairly_often,849,25.4,10.9,0.0,91.7,1237,285,66,995
51,Female,Never,24.90822,Yes_not_often,2166,105.8,15.6,0.0,349.1,4098,909,407,725
29,Female,Current_Smoker,26.68738,Yes_not_often,2476,121.1,14.3,0.0,263.5,2889,1529,105,366
36,Female,Current_Smoker,25.7393,No,1959,112.4,6.7,0.5,326.7,1097,966,140,1102
43,Female,Former,18.57692,No,1695,62.4,17.7,0.0,147.3,570,747,150,800
55,Female,Former,25.42584,Yes_not_often,2307,111.0,18.4,3.4,487.8,2627,1627,95,854
54,Female,Never,24.95499,Yes_fairly_often,1392,47.8,12.9,0.0,87.5,849,962,74,1517
32,Female,Never,39.56196,Yes_not_often,3511,114.7,13.9,0.2,444.7,2174,1814,202,649
65,Female,Never,26.75958,No,1276,60.5,12.0,3.5,87.3,1456,443,133,710
41,Male,Current_Smoker,41.64947,Yes_fairly_often,2685,133.1,11.1,15.0,432.4,3728,587,63,1193
60,Female,Former,40.69531,No,1327,64.8,9.3,0.1,341.0,1987,670,22,581
73,Female,Former,25.84728,Yes_not_often,853,29.8,6.3,10.0,160.5,1022,125,151,721
71,Female,Never,21.81089,Yes_fairly_often,1215,43.8,12.3,5.0,110.8,2079,597,473,946
47,Female,Never,37.27761,No,1927,92.5,10.7,0.0,359.1,406,806,58,794
35,Female,Former,29.58546,Yes_not_often,2466,112.6,9.6,0.1,331.9,621,579,87,494
34,Female,Current_Smoker,21.32906,Yes_fairly_often,3103,124.7,18.1,8.3,431.0,2652,1098,113,796
41,Female,Never,34.61493,No,2046,103.0,13.1,0.0,334.2,1745,445,117,738
33,Female,Former,18.57692,Yes_fairly_often,1835,74.1,23.0,0.7,184.2,2121,426,155,444
73,Female,Current_Smoker,20.71119,Yes_not_often,1678,82.3,6.3,14.1,249.5,1078,416,41,669
67,Female,Former,26.94287,Yes_fairly_often,1049,44.6,9.6,0.0,247.2,2672,294,73,836
66,Female,Never,33.10759,Yes_not_often,1762,72.9,16.5,0.0,240.3,4935,422,113,986
44,Female,Current_Smoker,23.27717,Yes_not_often,3183,119.4,6.9,35.0,378.8,1118,1257,100,926
36,Female,Former,24.74345,Yes_not_often,2838,88.5,24.0,4.5,252.4,9642,634,265,986
48,Female,Former,24.61465,Yes_not_often,2021,72.2,16.6,9.0,299.1,1392,1027,144,752
46,Female,Former,25.89669,No,2263,98.2,19.4,2.6,306.5,2572,1261,164,216
45,Female,Never,23.82703,Yes_fairly_often,1841,84.2,14.1,2.2,257.7,1665,465,80,328
49,Female,Never,24.26126,Yes_fairly_often,1125,44.8,11.9,4.0,150.5,6943,520,300,502
31,Female,Former,23.45255,Yes_fairly_often,2729,144.4,13.2,2.2,381.8,741,644,121,684
45,Female,Never,26.50808,Yes_fairly_often,1627,77.4,9.9,0.2,195.6,1242,554,233,826