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,**
2
*
School of Dietetics and Human Nutrition, McGill University, Montreal, Canada, H9X 3V9;
Department of Epidemiology and Biostatistics, McGill University, Montreal, Canada, H3C 3J7; and
**
Department of Public Health, Montreal General Hospital, Montreal, Canada, H2L 1M3
2To whom correspondence should be addressed. E-mail: gray-donald{at}macdonald.mcgill.ca.
| ABSTRACT |
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KEY WORDS: smokers and nonsmokers nutrient intake food groups supplement use humans
| INTRODUCTION |
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Indeed, people who smoke have a poor quality diet in terms of nutrient intakes and food choices. There is, however, a lack of data on nutritional adequacy and variability in nutrient intake among people who smoke. Examination of the main food group contributors to nutrient intake (for example, folate, vitamin C) by smoking status will provide insight on food choices responsible for differences in nutrient intake. Also, few studies that have examined smoking and diet have controlled for socioeconomic status.
Data used in the study are from the Food Habits of Canadians Survey
conducted in 19971998, which is the most recent national nutrition
survey in Canada (14)
. The aim of this study was to assess
how dietary habits of those who smoke differ from those who do not
smoke in terms of nutrient intake, contribution of food groups to
nutrient intake, nutritional adequacy and within-subject
variability in nutrient intake.
| SUBJECTS AND METHODS |
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Self-reported height, weight, smoking status and educational level were
collected. Subjects who answered yes to the question "Do you smoke
>5 cigarettes per day?" were categorized as smokers; all others were
categorized as nonsmokers. This level was chosen as the cut-off
point to determine smoking status because it is difficult to categorize
the small number of people who smoke very little. The average number of
cigarettes used by smokers is 19 cigarettes/d in Canada
(16)
. Three levels of education included the following:
1) high school (Grade 11) or less; 2)
preuniversity (2-y program) or trade school; and 3) a
university degree. Education was used as an indicator of socioeconomic
status.
Dietary intake was recorded by the dietitians using the 24-h recall
method (17)
. Detailed descriptions of all foods, beverages
and supplements consumed during the 24-h period before the interview,
including the quantity, cooking method and brand names were recorded.
Quantities were estimated using standard graduated glasses, bowls,
spoons and a ruler. Quality control was ensured during dietary data
collection and entry to minimize error and increase reliability
(18)
. Dietitians were trained to use research forms,
tools, and a food and nutrient database that were used for coding.
Furthermore, they resided in the regions surveyed, ensuring familiarity
with the local food supply and food preparation methods. An adapted
multiple-pass technique was employed (19)
; the
subjects were first asked to recall their food intake over the previous
24-h period, followed by probing for detailed descriptions of food,
beverages and supplements including food portion sizes, and then by a
review of intake and clarifications.
Nutrient intakes were entered, double verified by another person and
analyzed using the Candat nutrient analysis program (Godin London,
London, Canada) and the 1997 Canadian Nutrient File. Approximately 270
food items were added to the database, because they were not available
on the Canadian Nutrient File. Nutrient information was obtained from
food manufacturers data when possible or from the American database
(20)
. The nutrient database includes >5000 food items and
40 nutrients. Folic acid supplementation of flour in Canada occurred
after the data collection.
Foods were classified into 51 food groups for the purposes of
describing types of foods in the following manner: fruits were
classified as citrus and noncitrus fruits (due to differences in
vitamin C content). Vegetables were categorized according to specific
nutrient contribution by each subgroup (lettuce/cabbage/greens, other
dark green vegetables, dark yellow/orange vegetables, tomatoes,
potatoes and non-dark green vegetables). Dairy products were
grouped as milk, cheese, yogurt, cream and ice cream/pudding. The meat
group was classified according to the type of meat (beef, pork,
poultry, bacon/sausages/lunchmeats, fish/seafood, organ meats, lamb and
other meats). Grain products were categorized as breads,
pasta/rice/grains, cereals and mixed dishes. The alcohol group included
beer, alcoholic coolers, liquor and wine. Other foods were broken into
clear categories such as sugar/syrup/gelatin, carbonated beverages,
candies/chocolates. These food groups were used to determine the main
contributors to nutrient intake (carbohydrate, fat, folate and vitamin
C) by smoking status. The percentage of subjects consuming the food on
the day of the intake and the average amount of that food eaten by
consumers were analyzed and compared using
2
and t tests.
To determine whether subjects in the two smoking categories met the
recommendations for food groups based on Canadas Food Guide to
Healthy Eating (21)
, foods were categorized into the
following food groups: grains, dairy, meat, and fruits and vegetables.
Food portions were determined using food density (g/mL), and all foods
with very similar densities within a category were divided by the same
weight of a standard portion size to obtain units of portion size
(e.g., cooked rice or pasta = 70 g in the grain products food
group; corn/other vegetables = 85 g in the vegetables and
fruit group). In addition, the Good Health Eating Guide Resource
(22)
was consulted to determine weights for some foods and
also to establish how many portions of each food group went into each
of the mixed foods. Mixed food groups were broken down into
constituents for contribution to the four food groups (e.g., one cheese
pizza = 1 grain product and 0.2 milk product).
Data were collected on supplement use on the day of the recall.
Supplement composition was determined using the Health Canada Drug
Product Database (23)
, product labels or by contacting the
company. When adequate information was not available to identify brand
or amount of nutrient present in the supplement, default values were
assigned on the basis of the modal value for the supplement. For
vitamin B complex preparations, the lowest values found in any
identified supplements were used.
Nutrients examined in this analysis include calcium (mg), iron (mg),
zinc (mg), folate (µg), vitamin A [retinol equivalents
(RE)], vitamin C (mg) and fiber (g) as well as total fat, saturated
fat, monounsaturated fat and alcohol, which are expressed as percentage
of energy. Carotenoid data are not available in the Canadian Nutrient
file. These nutrients were chosen because the mean percentage of energy
from fat and saturated fat are generally above the Nutrition
Recommendations of 30 and 10%, respectively (24)
; vitamin
C is a nutrient of concern for those who smoke (25)
,
whereas calcium, iron and folate are often below recommended levels in
Canadians (14
,24
,26)
. Zinc was also assessed because of
its role in limiting free radicalinduced oxidative damage
(27)
.
The distribution of each nutrient was examined for normality, and
appropriate transformations (log and square root) were performed for
nutrients with skewed distributions (28)
. However, an
appropriate transformation was not found for alcohol. Using the
subsample with 2 d of intake, inter- (between) and intra- (within)
subject variability were estimated separately for men and women by
ANOVA (29)
. Using this measure of variation, the entire
study population distribution was adjusted for within-subject
variability using the NRC method (30)
. Differences in
nutrient intake by smoking status were assessed separately for men and
women using the general linear method of ANOVA, adjusting for
education. Multiple comparisons were corrected for using
Scheffés method (29)
. Possible effect modification
by level of education and age was examined by including interaction
terms for smoking and education and smoking and age.
A comparison of the day-to-day variability between people who smoked and people who do not smoke was examined by computing intra- (within) to inter- (between) subject variability ratio for energy, calcium (mg), folate (µg), vitamin A (RE), vitamin C (mg), zinc (mg) and iron (mg).
The percentage meeting the National Academy of Science Recommendations
for calcium (adequate intake, AI), iron, zinc, folate and vitamin C
(estimated average requirement, EAR) was examined
(25
,31
32
33)
by smoking status.
To assess underreporting of food intake, the ratio of reported energy
intake (EI) to estimated energy requirements (estimated basal metabolic
rate, BMRest) was calculated separately for men
and women by smoking status. BMR was calculated from the reported
height and weight using the FAO/WHO/UNU formula (34)
and
is reported as BMRest. All analyses were
performed using SAS (version 6.12, Cary, NC)
| RESULTS |
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2025,
25-<27 and
27 kg/m2). Food groups.
Food choices differed by smoking status (Table 3
). Because men and women reported similar food group choices
contributing to carbohydrate, fat, vitamin C and folate intakes,
results are reported by smoking status alone. The order in which foods
appear in the table is the order in which each food contributed to the
overall nutrient intake of the study sample. The frequency of
consumption on the day of recall and mean intake of each food by the
consumers of that food are reported. The differences in food group
intake for primary sources of carbohydrate indicated that those who did
not smoke were more likely to consume pasta, cakes/cookies, noncitrus
fruits, cereals and milk. The portion sizes of cereals were larger for
smokers. Other differences were apparent in food sources of folate and
vitamin C, indicating better food choices among people who do not
smoke. Although, overall, the most important contributors to folate and
vitamin C were fruits and vegetables in both groups, significantly
fewer smokers reported consuming different categories of fruits and
vegetables on the day of the recall and they were more likely to
consume carbonated beverages, coffee and tea.
|
2 < 0.001) met the minimum suggested
number of portions for fruits and vegetables.
|
Day-to-day variability in nutrient intake was compared to evaluate
whether people who smoke had more variable intakes of nutrients.
Intra/intersubject ratios were generally >1 for all nutrients examined
(Table 5
). There were no distinct patterns in variability by smoking
status.
|
To examine whether people who smoke met the recommended levels of
intake despite lower intakes of some nutrients, we analyzed the
percentage of men and women meeting the Dietary Reference Intake for
calcium (AI), folate, vitamin C, iron and zinc (EAR) by smoking status
(Table 6
) (25
,31
32
33)
. A greater percentage of people who smoke
failed to meet the EAR for smokers for vitamin C
(
2 < 0.001). Most men met the EAR for iron,
irrespective of smoking status (98 vs. 99.5%), whereas for women, a
smaller percentage of those who smoked met the EAR for iron (87% of
those who smoke vs. 93% of those who do not smoke,
2 < 0.01). Most people in both smoking
categories met the EAR for zinc. Most women, irrespective of smoking
status, had mean intakes below the EAR for folate. Stratification by
education level did not modify these relationships.
|
Overall, 38.5% of subjects reported using dietary supplements. People
who smoked were less likely to take dietary supplements (21.3 vs.
29.7% among men,
2 < 0.001 and 37 vs.
43.5% among women,
2 < 0.001). Women who
reported not smoking were more likely to take calcium supplements than
women who reported smoking (18 vs. 10%,
2 <
0.05).
| DISCUSSION |
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Several studies have reported that antioxidants such as ascorbic acid
may attenuate adverse health effects associated with cigarette smoking
by scavenging the free radicals produced by tobacco smoke
(2
,13)
. However, the intake of antioxidants by smokers is
low, placing them at higher risk of oxidative stress
(9
,35
,36)
. High intake of saturated fat raises total
cholesterol and LDL cholesterol levels and is a risk factor for
coronary heart disease (37)
. People who smoke tend to have
high intakes of saturated fat and also to have increased levels of VLDL
cholesterol and low HDL cholesterol levels (38)
. In
addition, low folate intake is a risk factor for coronary heart disease
and certain forms of cancer (39)
. On the basis of our
results, we find that people who smoke have slightly higher intakes of
total fat and saturated fat (9%) and lower intakes of folate (14%),
vitamin C (24%) and fiber (23%). This is consistent with those
reported in other populations (3
,6)
. Although the
differences may appear small, such dietary differences are predicted to
be associated with higher levels of cardiovascular disease risk and
decreased life expectancy (40)
. Consequently, in addition
to the toxic effects of smoke, those who smoke are at increased risk of
developing chronic diseases related to diet.
Although fruits and vegetables were among the most important
contributors to folate and vitamin C, a smaller proportion of smokers
consumed these foods, leading to lower mean intakes of these two
vitamins. This effect was consistent among several food groupings of
fruits and vegetables, which is consistent with other studies
(3
,41
,42)
. The average number of servings of fruits and
vegetables was below the minimum recommended 5 servings/d for people of
both sexes who smoked. Possible reasons for lower consumption of fruits
and vegetables include changes in taste acuity induced by smoking that
could influence food choices (2)
. Finally, several studies
suggest that those who smoke and those who do not have different health
priorities and habits (43
44
45)
.
People who do not smoke were more likely to use supplements,
particularly nonsmoking women who were more likely to take calcium
supplements than women who smoke supporting other studies indicating a
healthier lifestyle among those who do not smoke (46
,47)
.
Diet may be a confounder when studying the relationship between smoking
and chronic disease. Those who smoke have been reported to have higher
intakes of saturated fat and in addition, to have unfavorable lipid and
lipoprotein levels (38)
so that the effects of smoking and
diet are acting in the same direction. Therefore, failure to control
for the confounding effect of diet when examining the relationship
between smoking and chronic diseases may result in overestimation of
relative risk.
Two methodological issues not addressed in earlier studies on diet and
smoking status include EI:BMRest and intra- and
intersubject variability that were examined in this study. In our
study, the mean EI/BMRest values for men and
women were similar to those reported in NHANES III and other studies
(48
,49)
. Although men appear to report adequate intakes,
the mean EI/BMRest among women was
1.25, below
the cut-off value of 1.35, indicating underreporting
(50)
. The lower EI/BMRest values for
women appear to be a problem in surveys (51)
. The similar
EI/BMRest values among those who smoke and do not
smoke provide evidence that underreporting was similar in the two
smoking groups.
People who smoke did not report higher variability in nutrient intakes. The lack of difference in day-to-day variation indicates that the diet of those who smoke is no more variable than that of those who do not smoke.
Previous studies reporting on differences in BMI by smoking group have
found differing results, with some reporting lower BMI among smokers
and others, including our results, not showing any differences in BMI
(9
,52
53
54
55
56)
. There is similar disagreement in the
literature concerning whether energy intakes are higher among smokers
or not (6
,10
,53)
.
The extent to which we can generalize these results to the Canadian
population is limited by the low response rate achieved. Response rates
to health surveys appear to be dropping (57
,58)
. The
sample, however, appeared to be representative of the sociodemographic
profile of Canadians.
In conclusion, those who smoke consumed a less healthy diet than those who do not smoke. The finding that nutrient and food group intake varied by smoking status has public health implications because the less healthy dietary patterns of those who smoke place them at an even greater risk for developing chronic disease than those who do not smoke. Studies examining smoking disease relationships should control for the confounding effect of diet, given these consistent findings for nutrient intakes from both food and supplement sources.
| FOOTNOTES |
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3 Abbreviations used: AI, adequate intake; BMI, body mass index; BMR, basal metabolic rate; EAR, estimated average
requirements; EI, energy intake; NHANES, National Health and Nutrition Examination Survey; RE, retinol equivalents. ![]()
Manuscript received January 16, 2001. Initial review completed February 12, 2001. Revision accepted April 11, 2001.
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