Philip Morris
Some Lifestyle Factors in Human Lung Cancer: a Case-Control Study of 792 Lung Cancer Cases
Fields
- Author
- Chen, Y.
- Du, Y.
- Lei, Y.
- Type
- SCRT, REPORT, SCIENTIFIC
- ABST, ABSTRACT
- BIBL, BIBLIOGRAPHY
- CHAR, CHART, GRAPH, TABLE, MAPS
- Author (Organization)
- Guangzhou Medical College
- Master ID
- 2081782960/3432
- 2081782960-3432 International Symposium on Lifestyle Factors and Human Lung Cancer 941212 - 941216 Guangzhou, People's Republic of China
- 2081782973-3001 An Epidemiological Investigation of Risk Factors for Lung Cancer in Guangzhou, China
- 2081783003-3029 Aspects of the Epidemiology of Lung Cancer in Smokers and Nonsmokers in the United States
- 2081783031-3037 Risk Factors for Lung Cancer Among Nonsmokers With Emphasis on Lifestyle Factors
- 2081783039-3051 Attributable Risk of Lung Cancer in Nonsmoking Women
- 2081783053-3058 The Etiology of Lung Cancer in Nonsmoking Females in Harbin, China
- 2081783060-3066 Lung Cancer in Nonsmoking Chinese Women: a Case-Control Study
- 2081783068-3076 Lung Cancer, Smoking and Diet Among Swedish Men
- 2081783078-3083 A Study of Association of Female Squamous Cell Carcinoma and Adenocarcinoma in the Lung and History of Menstruation
- 2081783085-3086 Combined Analysis of Case-Control Studies of Smoking and Lung Cancer in China
- 2081783088-3089 A Case-Control Study of Childhood and Adolescent Household Passive Smoking (Ps) and the Risk of Female Lung Cancer
- 2081783091-3099 A Comparative Study of the Risk Factors for Lung Cancer in Guangdong, China
- 2081783101-3106 Analysis and Estimates of Attributable Risk Factors for Lung Cancer in Nanjing, China
- 2081783108-3122 Diet as a Confounder of the Association Between Air Pollution and Female Lung Cancer: Hong Kong Studies on Exposures to Environmental Tobacco Smoke, Incense, and Cooking Fumes as Examples
- 2081783124-3132 Indoor Burning Coal Air Pollution and Lung Cancer - a Case-Control Study in Fuzhou, China
- 2081783134-3139 The Effect of Beta-Carotene on Lung Cancer
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- 2081783145-3150 Modulation of Molecular Mechanisms by Dietary Restriction in Rats
- 2081783152-3156 Transformation of Tracheal Epithelial Cells and the Role of Transforming Growth Factor (Tgf) and P53 in the Lung Cancer Progression
- 2081783158-3166 Biossays of Benzo(A)Pyrene and Lung Cancer
- 2081783168-3174 The Study of Correlation Between Gst Gene Deletion and Susceptibility to Lung Cancer
- 2081783175-3185 A Retrospective Lung Cancer Mortality Study of People Exposed to Insoluble Arsenic Salts and Radon
- 2081783186 Lifestyle, Environmental Pollution and Lung Cancer in Cities of Liaoning in Northeastern China
- 2081783188-3207 Determination of Personal Exposure of Nonsmokers to Environmental Tobacco Smoke in the United States
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- 2081783236-3243 The Relationship Between Smoking and Lung Cancer in Humans
- 2081783265-3266 Health Impacts by Lifestyle and Behavioral Factors in Guangdong, China
- 2081783268-3276 Low Risk Epidemiology and Good Epidemiological Practice
- 2081783279-3285 Recent Developments in the Epidemiology of Lung Cancer
- 2081783287-3297 Recent Progress in the Epidemiology of Lung Cancer in Humans
- 2081783299-3309 Exposure to Environmental Tobacco Smoke and the Incidence of Lung Cancer - a Review
- 2081783311-3316 Etiology of Lung Cancer in Women
- 2081783318-3331 Indoor and Outdoor Air Pollution and Lung Cancer
- 2081783333-3340 Study of the Relation Between Smoking as a Lifestyle Factor and Lung Cancer in Beijing Area of China
- 2081783342-3347 Analyses of Sex Differentials in Risk Factors for Primary Lung Adenocarcinoma
- 2081783349-3355 The Relationship Between Histologic Types of Lung Cancer and Cigarette Smoking
- 2081783357-3360 Progressive Changes in the Relative Distribution of Different Histological Types of Lung Cancer in Guangzhou
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- 2081783388 Analysis of the Relationship Between Smoking and Lung Cancer
- 2081783390-3391 The Trend of Lung Cancer Death Rates in Guangdong Province, China
- 2081783393 Mortality Trend From Lung Cancer From 760000 to 920000 in Guangzhou, China
- 2081783395-3396 Analysis of the Correlation Between Atmospheric Pollution and Lung Cancer in Guangzhou, China
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- 2081783400 Psychological Factors and Lung Cancer
- 2081783402 Environmental Factors and Lung Cancer
- 2081783404 Analyses of Relationship Between Smoking, Passive Smoking and Lung Cancer Cell Type
- 2081783406 Amplification and Point Mutation of the Ha-Ras Oncogene in Lung Cancer
- 2081783408-3409 Amplification of C-Myc, C-Ha-Ra and C-Sis Oncogenes in Human Lung Cancer
- 2081783411 Expression of P53 and C-Myc in Mouse Lung Cancer Induced by Coal Burning
- 2081783413 Point Mutation at Codon 11 and 12 of H-Ras and K-Ras Oncogenes in Human Fetal Epithelial Cells Treated With Benzo(A)Pyrene Trans-7,8-Diol- Anti-9,10-Epoxide
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- 2081783417 Methylation Profile and Amplification of Proto-Oncogenes in Caloric Restriction Bnf Rat Pancreas
- 2081783419 An Analysis of Seven Metal Elements in Lung Cancer Tissues in Guangzhou, China Population
- 2081783421 Point Mutations of Ha-Ras and Ki-Ras Oncogenes in Sputum Specimens From Lung Cancer Patients
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5. Diet.
Food categories analyzed included: pork, beef, poultry, fish, egg and dairy products, leafy and
nonleafy vegetables, fruits, fried food, preserved vegetables, salt-preserved fish and smoked and
cured
foods. The results show that the consumption of fresh vegetables and fruits have protective
properties
against lung cancer in males. On the other hand, fried food may contribute to the risk of lung
cancer
in males. No differences were shown for the remainder of the food categories. (Table 5) When data
were stratified into "never" or "frequent" (almost daily) intake groups for comparison, then the
correlations between frequent intake of vegetables and fruit and the decrease of male lung cancer
rate
became more pronounced. (Tables 6, 7)
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(B) Analysis of compatibility: The demographic characteristics obtained on cases and
controls were first subjected to the X1 Test to ascertain compatibility. These include father's
place of
birth (Guangzhou or other); marital status (single, married, divorced, widowed, separated);
education
(illiterate, primary school, middle school, high school, technical school, or college education);
occupation
(professional, government official, clerk, businessman, service personnel, manual laborer, and
others).
(C) Stratification and analysis of factors: For bipartite variables the X2 value was
calculated by the McNemar method. The odds ratio (OR) with a 95% CI were determined according to
Miettinen. To obtain information on total exposure; the cumulative X2 was calculated by the RXC
table
for pooled theoretical value method and OR were calculated.
1. Quality of survey data.
Results and Analysis
Data from 272 samples, i.e. 8 pairs of cases and controls and 17 risk factors were taken by
investigators A and B. As shown in Table 1 the data were accurate and reliable.
Table 1.
272 Samples of Risk Factors Taken By Investigators A & B
Investigator B
Investigator A
Yes
No Total
Yes 99 15 114
No 10 148 158
Total 109 163 272
Result of Kappa Test: K = 0.81, P < 0.001
2. Test of Balance.
Uniformity exists for cases and the controls in sex, age of death, and street address. The
distribution of the other demographic characteristics of the cases and the controls include father's
place of birth, marital status, education, and occupation which was also distributed uniformly.
No difference was found by the test of balance, which demonstrated good compatibility between
the two groups (Table 2).
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46.
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Wang, X.Z. et al. "Experiments of mutagenicity in indoor and outdoor pollutants," Second
Chinese Conference on Environmental Health, Nanjing, 1984. Abstracts.
Ou, Z.L. eta l. "Relationship of coal-burning and lung cancer in housewives," Proceedings of
Second Conference of Cancer Research, Guangzhou, 1987, p. 76-81.
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Table 2.
Demographic Characteristics of Cases and Controls
Male Female
Cates Conttols Cases Controls
Native province Guangdong Provlnce 465 454 179 182
Province other than Guangdong 32 43 12 9
X2 =1.745 P>0.05 X2 =0.213 P>0.05
Marital status Single 13 22 8 6
Married 476 473 147 139
Divnrced 14 8 1 4
Widowed 28 34 64 67
Separated 12 6 3 7
x2 =6.541 P>0.05 g2=2.158 P>0.05
Bducation Illiterve 47 44 100 107
Grade School 264 249 80 69
Middle Schoul 131 124 23 26
High School & Technical 66 81 15 16
College 36 46 4 4
x2=3.480 P > 0.05 X2 =1.258 P>0.05
Occupxtion Profasional 49 50 19 9
Government official 46 48 2 2
Clerical 32 46 4 4
Other 35 49 38 46
Business 41 56 12 13
Service Personnel 48 40 21 19
Laborer 270 232 75 78
x2 = 10.822 P> 0.05 2 = 4.532 P> 0.05
3.
Analysis of smoking history.
Among the 563 pairs of male cases and controls, the percentage of smokers was 92.5 % for the
cases and 75.5% for the controls. Among the 229 female pairs, the smoking rate was 60.6% for the
cases and 30.8% for the controls. The majority of smokers smoked cigarettes (68.2%); the next
largest
smoker group used roll-your-own cigarettes (28.3%); a few used water pipes (1.9%); and a very small
number used pipes and cigars. Though little difference existed in the type of tobacco product used,
both
the male and the female cases had significantly higher smoking indexes and the test of trend also
revealed
an obvious dose-response relationship. (Table 3) These results support the view that smoking is an
important risk factor in the incidence of lung cancer among residents of Guangzhou.
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SOME LIFESTYLE FACTORS IN HUMAN LUNG CANCER:
A CASE-CONTROL STUDY OF 792 LUNG CANCER CASES
Lei Yi-xiong, Chen Yong-zhong and Du Ying-xiu
Department of Hygiene, Guangzhou Medical College, Guangzhou, China
Abstract
Eating habits and living conditions are fundamental lifestyle factors. Likewise, cigarette smoking,
exposure to environmental tobacco smoke (ETS) and other indoor air pollutants are also commonly
encountered in many societies. Many studies have examined the possible effects of these factors on
the
incidence of lung cancer and often produce different and at times conflicting results and
conclusions. In
order to investigate a relationship between some lifestyle factors and lung cancer, a case-control
study
involving all lung cancer deaths registered in 1986 was performed.
The results show that among males, 92% of the cases and 76% of controls were smokers,
implying that cigarette smoking is a primary risk factor for lung cancer in males. By contrast,
among
females only 60% of the cases and 30% of the controls were smokers, implying factors other than
cigarette smoking must be involved in the development of lung cancer in females. As for the exposure
to ETS, our results show that the risk of lung cancer in nonsmoking females was not increased by
exposure to ETS.
The studies of diet and eating habits show that the intake of vegetables and fruits could reduce
the risk of lung cancer in males. Similar results have been reported elsewhere. Our studies also
show
that in the case of males the incidence of lung cancer was significantly increased in those that
have a
frequent intake of fried food. The positive association established from the studies between the
intake
of fried food and the risk of lung cancer could result from cooking practices and from inappropriate
methods used in food preparation.
With regard to the question of high protein diets, high fat diets, salty food and smoked food and
their relationship to lung cancer incidence, different results have been observed. Our results show
that
no association can be demonstrated between the intake of foods mentioned and the incidence of lung
cancer. Thus, it is not likely that lung cancer inducing carcinogens can be generated through the
intake
of food.
~ In addition, the positive association found to exist between the living index and the risk of lung
cancer in females indirectly points to coal smoke or cooking practices generating indoor air
pollutants and
thereby contributing to a risk of lung cancer in females. However, many chemical carcinogens such as
. B(a)P are known to be inducers for squamous cell carcinoma of the lungs, but in the case of
females,
, adenocarcinoma is found to be the predominant cell type. Therefore, the effect of lung air
pollution on
the incidence of lung cancer needs to be further investigated. ~
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Table 3.
Distribution of Smoking Index in Cases and Controls
Smoking Index Cases Controls OR 95% CI Tests
M: 0 41 123 1.00 1.00-1.00 Test of hypothesis
< 400 57 93 1.84 1.24-3.26 X2 = 77.71, P< 0.001
400-799 136 122 3.34 2.72-5.60 Test of Trend
> 800 250 146 5.36 3.60-7.93 X2 = 77.33, P< 0.001
F: 0 85 147 1.00 1.00-1.00 Test of hypothesis
< 400 29 26 1.93 1.70-3.02 X2 = 44.68, P< 0.001
400-799 33 16 3.57 2.45-5.11 Test of Trend
> 800 61 19 5.55 3.21-7.22 X2 = 43.92, P< 0.001
Note: Smoking index = daily smoking rate times total years of smoking.
4. Passive smoking.
To determine the effects of the husbands' smoking on their wives, the following factors were
taken into consideration: spousal smoking, daily smoking rate, and years of smoking. These factors
were examined to evaluate the effects of exposure to husbands' smoking on nonsmoking wives which are
compared in both case and control groups in Table 4. The results did not show a significant
relationship
between the husbands' smoking status, or the daily number of cigarettes smoked, or the number of
years
of smoking and the occurrence of lung cancer in their wives.
Table 4.
Distribution of ETS Exposure Among Nonsmoking Cases and Controls
Cases Controls OR 95%
Confidence
Level
ETS exposure No 28 53
Yes 47 75 1.19 0.66-2.16
X2 =0.327 P> 0.05
Amount of exposure to ETS 0 28 53 1.00 1.00-1.00
(number of cigarettes) < 20 13 34 0.72 0.53-0.98
> 20 30 35 1.62 1.03-2.55
X2 = 4.308 P > 0.05
Length of exposure to ETS 0 28 53 1.00 1.00-1.00
(years) < 30 14 19 1.39 0.63-1.60
> 30 29 47 1.17 0.80-1.25
X2 = 0.652 P > 0.05
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(A) Smoking history: Specifically, daily smoking rate (cigarette/day), age at which
the person began to smoke, years of smoking, and smoking index (daily smoking rate times years of
smoking). The smoking index was divided into four categories: 0, <400, 400-799, >800. In our
analysis, we used the smoking index to compare the effects of smoking on the cases and the controls.
(B) Exposure to ETS: In order to assess the effects of exposure to environmental
tobacco smoke (ETS), the effect of active smoking must be first excluded. Since 92% of the male lung
cancer cases were active smokers and since the workplace exposure to ETS cannot be accurately
determined, the present survey concerned itself only with the effects of exposure to spousal smoking
in
non-smoking females. The daily cigarette smoking rate and the years of smoking by the husbands were
used in the statistical analysis.
(C) Diet history: Survey items included the consumption of pork, beef, poultry, fish,
eggs, milk and dairy products, leafy and nonleafy vegetables, fruits, fried food, pickled
vegetables, salted
fish and smoked and cured foods. The consumption of these food items was stratified into the
categories
of: never, weekly, and daily.
(D) Living conditions: Data concerning the following were obtained: old or new
building; location of residence within the building (ground level, second, third, or fourth floor
and
above); interior dimensions including ceiling height (6, 9 or 12 feet) and average size of living
area per
person (18, 36, 54, 72 square feet per person); ventilation (excellent: 1; medium: 2; poor: 3); and
use
of insect repelling incense (never, occasional, average, and frequent).
(E) Kitchen facilities and exposure to coal smoke/dust: Information obtained included
average kitchen size (< 9, 9-18, > 18 square feet) and the type of cooking fuel used (coal, propane,
wood). Information was also obtained regarding exposure to benzo(a)pyrene as pollutants generated by
frying food, and the preference for cooking by frying.
4. Methods of analysis.
(A) Quantitative data analysis. To estimate the reliability of the information collected,
1% of the total sample was randomly resurveyed. Consistency of data between the first and second
survey measurements was evaluated by the Kappa test using the following equation.
Po-Pe
K = where
1 -Pe
Po = consistency of observation agree. Pe = the value expected based on consistency obtained solely
by chance.
The significance of the Kappa test was evaluated by the Fleis 3-level assessment: 0.75..,1.00
excellent p
co
concordance
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Table 8.
Distribution of Living Conditions of Cases and Controls
Male Female
No. % No. % No. % No. %
of Cases of Controls of Cases of Controls
Home New building 255 47.1 248 45.8 91 41.7 83 38.1
characteristics Old building 286 52.9 ~ 293 54.2 127 58.3 135 61.9
XT---7-0-182 P> 0.05 Xrt-::--0.612 P> 0.05
Floor within the Istfloor 220 45.4 211 43.5 78 42.6 88 48.1
building 2nd floor 129 26.6 132 27.2 51 27.9 50 27.3
3rd floor 64 13.2 68 14.0 29 15.8 27 14.8
4th floor and 72 14.8 74 15.3 25 13.7 18 9.8
above
XT-=-0.371 P> 0.05 X-=-1.823 _P> 0.05
Ceiling height 2 or more 35 7.1 23 4.7 9 4.3 17 8.2
(M) 3 or more 302 61.3 310 62.9 119 57.2 107 51.4
4 or more 156 31.6 160 32.5 80 38.5 84 40.4
X2-=-2 638 P> 0.05 XT-=-3 196 P> 0.05
Living space 2 or more 165 30.3 137 25.1 58 26.5 66 30.1
(M2lperson) 4 or mom 122 22.4 132 24.3 59 26.9 50 22.8
6 or more 97 17.8 103 18.9 34 15.5 37 17.0
8 or more 160 29.4 172 31.6 68 31.1 66 31.1
XT 3.603 P> 0.05 XX = 1.416 P> 0.05
Room ventilation Good (I) 226 41.1 228 41.5 73 33.8 77 35.6
Medium (2) 208 37.8 230 41.8 93 43.1 87 40.3
Poor(3) 116 21.1 92 16.7 50 23.1 52 24.1
X2---3 883 P> 0.05 X7 = 0.346 P> 0.05
Burning of insect Never 193 34.9 205 37.0 97 43.9 75 33.9
repellant incense Occasional 168 30.4 150 27.1 57 25.8 72 32.6
Average 100 18.1 108 19.5 35 15.8 42 19.0
Frequent 92 16.6 91 16.4 32 14.5 32 14.5
XZ = 1.693 P> 0.05 XT= 5.195 P> 0.05
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Table 6.
Analysis of Fresh Vegetable Intake by Male Cases and Controls
Cases
Controls
Not Regularly Regularly Total
Not regularly 0 8 8
Regularly 30 518 548
Total 30 526 556
OR = 3.75 95 % CI 1.75-8.00 X2 = 11.605 P < 0.001
Table 7.
Analysis of Fruit Intake by Male Cases and Controls
Frequency Cases Controls Total
Not regularly
Regularly 78
125 92
250 170
375
Total 203 342 545
OR
1.36 95 % CI 1.04-1,78 X2 = 5.018 P < 0.05
6. Conditions of living quarters.
To describe the characteristics of living quarter conditions, the following data were collected:
building characteristics, floor within the building, ceiling height, average living space per
person, room
ventilation, frequency of burning of insect repellant incense. The results showed no obvious
differences
between the case and the control groups. (Table 8) However, when the living conditions index, i.e.
average living area per person (M2/number of persons)/room ventilation (1, 2, 3), was used for a
combined evaluation, it was found to be related to female lung cancer (Table 9), i.e., when the
living
conditions index was low the female lung cancer rate showed an upward trend.
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Table 9.
Analysis of Living Conditions Index
Male Female
Living Condition
Index
Cases
Controls
OR
95% CI
Cases
Controls
OR
95% CI
8 or more 100 104 1.00 1.00-1.00 25 46 1.00 1.00-1.00
4 or more 126 112 1.17 0.89-1.54 64 46 2.56 1.394.70
1 or more 288 304 0.99 0.97-1.01 111 108 1.89 1.25-2.85
Male: X2 = 1.276 P > 0.05 Female: X2 = 9.199 P < 0.05
7. Kitchen facilities and exposure to coal fume and dust.
For residents of Guangzhou, wood was the main fuel source in the 1950s. Coal began to be used
as a fuel in the 1960s, and its usage has increased since that time. Beginning in the 1980s
individual
families began to use propane gas. The investigation of kitchen facilities, coal fumes and dust
exposure
in the current study showed the following: 91.9% of the families used coal as the major source of
fuel
during the past 20 years (with 46.2 % of them using wood simultaneously); only 4.6 % used propane
and
3.5 % used other fuels. There was no significant difference between the cases and controls with
respect
to the type of fuel used. Although there was an apparent difference in the cooking activities
between the
male and female groups (37% of males and 86% of females regularly participated in cooking), no
obvious
difference was detected between cases and controls within each sex group. Neither was any
appreciable
differences found between the cases and the controls with regard to kitchen space, years of regular
cooking activity, exposure to coal smoke/dust and whether frying was generally the preferred style
of
cooking. (Table 10)
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