Abstract
Increased antioxidant defenses are hypothesized to decrease age- and smoking-related decline in lung function.
The relation of dietary antioxidants, smoking, and forced expiratory volume in the 1st second of effort (FEV1) was investigated in community-dwelling older adults in the Health, Aging, and Body Composition Study. 1,443 participants completed a food frequency questionnaire, self-reported smoking history, and had measurements of FEV1 at both baseline and after 4 years of follow-up. The association of dietary intake of nutrients and foods with antioxidant properties and rate of FEV1 decline was investigated using hierarchical linear regression models.
In continuing smokers (current smokers at both time points), higher vitamin C and higher intake of fruits and vegetables were associated with an 18 and 24 ml/year slower rate of FEV1 decline compared to lower intake (P<0.0001 and 0.003, respectively). In quitters (current smoker at study baseline, quit during follow-up), higher intake was associated with an attenuated rate of decline for each nutrient studied (p<0.003, all models). In non-smoking participants, there was little or no association of diet and rate of decline in FEV1.
The intake of nutrients with antioxidant properties may modulate lung function decline in older adults exposed to cigarette smoke.
Keywords: Aging, Dietary Intake, Lung Function Measurements, Oxidants/Antioxidants, Smoking and Health
INTRODUCTION
Aging has been described as the accumulation of oxidative damage that is incompletely repaired by the body’s antioxidant defenses.[1] This damage is caused by free radicals produced in the body via normal metabolic processes and inflammation, and by exogenous free radicals such as from smoking and noxious gases. In the lungs, aging is associated with declining lung function, and rate of decline increases with advancing age.[2] In older adults, steeper rates of decline are associated with both an increased risk of chronic obstructive pulmonary disease (COPD) and of all-cause mortality.[2, 3] Among the many harmful effects of cigarette smoking on lung tissue, smoke exposure contributes to oxidative stress and accelerates the “aging” of the lung, resulting in the greater reductions in lung function observed among persons with a history of cigarette smoking.[3–5]
The large surface area of the lungs is in constant contact with oxidants from the environment, but antioxidant defenses limit the associated damage. When these defenses are overwhelmed, oxidative stress can provoke and enhance both the inflammation[6] and antiprotease inactivation[7] associated with COPD and contribute directly to tissue damage[8]. Enhancing antioxidant defenses is hypothesized to reduce the accumulation of oxidative damage, thus potentially slowing the rate of decline in lung function associated with aging and smoking.
In support of this hypothesis, observational epidemiologic studies of dietary antioxidant intake, serum antioxidant concentration, and lung outcomes (spirometry at one time point, rate of decline in lung function, and risk of COPD) suggest that lower levels of antioxidant defense are associated with worse outcomes[9–14] and higher COPD mortality risk.[15] Although older adults are at the greatest risk of steep rates of decline in FEV1 and may experience the greatest increases in quality of life with prevention, there is no research on the association between dietary antioxidants and FEV1 in this age group. In addition, most studies of antioxidants and FEV1 are cross-sectional, despite the expectation that rate of FEV1 decline is a more informative indicator of mortality and COPD risk.[2] To address the need for longitudinal evidence in older populations, the authors tested the hypothesis that dietary antioxidants modify the association of smoke exposure with the rate of FEV1 decline in a longitudinal cohort study of older adults.
MATERIALS AND METHODS
Study Participants
The Health, Aging, and Body Composition Study (Health ABC) is a prospective cohort of 3,075 community-dwelling older adults (aged 70–79 years at baseline in 1997; for further details: [16]). The Health ABC study was approved by the Institutional Review Boards of the University of Pittsburgh and the University of Tennessee; this study was approved by the Institutional Review Board at Cornell University.
Exclusion criteria included missing dietary or smoking data, or spirometry tests that were missing, unacceptable, or not reproducible (early coughs, early termination, high back extrapolated volume, and > 200 ml between two best FEV1 values). Participants with prevalent lung disease (spirometry-defined or diagnosed COPD, diagnosed asthma) at study baseline were excluded because disease may lead to relevant physiological or behavioral changes.
Study variables
Dietary antioxidant intake was determined at the 1-year follow-up using a modified Block food frequency questionnaire that was designed to assess intake in the year prior (further details [17]). The intake of nutrients with antioxidant properties was measured by whole food intake (fruits and vegetables) and by micronutrient intake calculated from all dietary sources of the antioxidant (vitamins C and E, and β-carotene).
Spirometry for this cohort was conducted at baseline and after 4 years using a horizontal dry rolling seal HF6 Spirometer (Sensor Medics Corporation, Yorba Linda, CA) according to standard guidelines[18]. Smoking exposure was self-reported at both visits and categorized as continuous (smoking at each visit), quit (smoking at baseline, but not at year 4 follow-up), former (history of smoking prior to baseline), and never (smoking <100 cigarettes in lifetime). Smoking pack-years (average packs smoked per day multiplied by number of years smoking) and current smoking status were included as covariates.
Data analysis
Hierarchical linear regression models were used to assess the association of antioxidant intake and cigarette smoking with FEV1 rate of decline. Age, gender, height, race, years of education, family income, study site, pulmonary drug use, and total energy intake were included as covariates in all models. Height was included as a repeated measure to address any changes in spirometry secondary to kyphosis. Power terms and categorical variables of continuous antioxidant predictors were considered; no evidence of non-linearity was found, thus all models and all statistical tests of the hypothesis used continuous variables for dietary intake. Intake of fruits and vegetables were summed and represented with a single variable (servings per day). To test the interaction between measures of oxidative stress (smoking) and antioxidant status (dietary antioxidant intake, a continuous variable), product terms were computed. Given that interactions were conveyed by a set of variables (for example, the product of each smoking ‘dummy’ variable by antioxidant intake by time), P values convey the statistical significance of the set of terms. Reported rate of decline estimates are the beta coefficients for the elapsed time variable in the model after centering all terms interacting with elapsed time and selecting appropriate smoking reference groups. To illustrate the magnitude of the interaction between smoking and dietary intake, the estimated FEV1 rate of decline for smokers at high and low antioxidant intake (defined as the 90th and the 10th percentile of the cohort distribution) were calculated.
All analyses were conducted using SAS v 9.1 (SAS, Cary, NC).
RESULTS
Of the 3,075 participants, 859 met exclusion criteria for disease or missing exposure variables (Table 1). Of the remaining 2,216 participants, 1,443 had valid spirometry at baseline and follow-up. Inclusion was associated with survivorship and, as expected, studied participants were more likely to be never smokers or to have smoked less on average over their lifetime.
Table 1.
Included Participants, by Cigarette Smoking Status | All Health ABC Participants | |||||
---|---|---|---|---|---|---|
| ||||||
Continuing Smokers (n=75)1 | Quitters (n=27) | Former Smokers (n=635) | Never Smokers (n=704) | Included (n=1441) | Excluded (n=1634)2 | |
Age, years | 72.8 (2.8) | 74.6 (3.3) | 73.5 (2.8) | 73.5 (2.8) | 73.5 (2.8) | 73.8 (2.9) |
Females (%) | 39 (52%) | 10 (37%) | 229 (36%) | 451 (64%) | 731 (51%) | 853 (52%) |
Blacks (%) | 47 (63%) | 13 (48%) | 203 (32%) | 240 (34%) | 505 (35%) | 776 (48%) |
Memphis, TN site (%)3 | 30 (40%) | 11 (41%) | 278 (44%) | 332 (47%) | 652 (45%) | 896 (55%) |
Former Smokers (%) | 640 (44%) | 764 (47%) | ||||
Current Smokers (%) | 97 (7%) | 221 (14%) | ||||
Packyears | 44.7 (29.0) | 38.9 (34.5) | 28.3 (26.7) | -- | 30.3 (27.7) | 38.6 (31.4) |
Dietary Intake | ||||||
Vitamin C, mg/day | 133 (87) | 149 (96) | 143 (72) | 150 (77) | 146 (76) | 145 (80) |
Vitamin E, α-TE/day | 11.0 (6.0) | 10.8 (6.1) | 11.2 (7.2) | 11.1 (6.8) | 11.1 (6.9) | 11.0 (6.9) |
β-carotene, μg/day | 3338 (2579) | 2796 (2294) | 3157 (2483) | 3631 (2560) | 3392 (2532) | 3610 (3163) |
Fruits, servings/day | 1.6 (1.1) | 1.7 (1.2) | 1.9 (1.1) | 2.2 (1.2) | 2.0 (1.2) | 1.9 (1.2) |
Vegetables, servings/day | 2.8 (2.0) | 3.1 (3.0) | 3.0 (1.9) | 3.1 (1.9) | 3.0 (1.9) | 2.9 (1.9) |
FEV1 at baseline, ml4 | 2107 (48) | 2198 (80) | 2323 (17) | 2358 (16) | 2297 (13) | 2011 (13) |
Annual rate of decline, ml/yr5 | 44.3 (5.7) | 31.7 (9.4) | 50.9 (2.0) | 49.4 (1.9) | 49.5 (1.3) | 43.8 (2.7) |
Abbreviations: α-Tocopherol Equivalents (α-TE); Forced Expiratory Volume in the 1 second of effort (FEV1); Chronic Obstructive Pulmonary Disease (COPD).
Unless otherwise indicated, mean (SD) is reported.
Number of participants excluded by reason for exclusion (categories not mutually exclusive): prevalent COPD, spirometry-defined (n=357), prevalent COPD, physician-diagnosed (n=228), prevalent asthma, physician-diagnosed (n=140), unacceptable quality on baseline spirometry (n=160), missing baseline spirometry (n=212), unacceptable quality on follow-up spirometry (n=129), missing follow-up spirometry (n=978).
vs. Pittsburgh, PA site
Calculated on those with an acceptable FEV1 at study baseline; adjusted for age, gender, and race.
Calculated only on those with an acceptable FEV1 at both baseline and after 4 years of follow-up. Among excluded participants, this calculation is only possible on 354 participants. Values adjusted for age, gender, and race.
Although dietary intake variables were modeled as continuous variables, results are presented as the comparison of high (90th percentile) and low (10th percentile) levels for illustrative purposes. In the groups hypothesized to have the highest burden of environmental and endogenous oxidative stress and inflammation (continuing smokers and quitters), a higher intake of nutrients and/or foods with antioxidant properties was consistently associated with a slower rate of decline (Table 2); there was little or no association of dietary intake with lung function decline in never and former smokers. Statistical tests of the interactions of vitamins C and E, β-carotene and fruit/vegetable intake with cigarette smoking were highly statistically significant with P values of <0.0001, 0.003, 0.003 and 0.003, respectively (full model results provided in Supplemental Table 1).
Table 2.
Nutrient (90th vs. 10th percentile) | Smoking Status | FEV1 Decline mls/yr | FVC Decline mls/yr | FEV1/FVC Decline | |||
---|---|---|---|---|---|---|---|
High Intake | Low Intake | High Intake | Low Intake | High Intake | Low Intake | ||
Vitamin C2 236.5 vs. 65.2 mg/day |
Continuous | −25 (−42, −8) | −43 (−58, −29) | −18 (−46, 11) | −40 (−64, −16) | −1.0 (−2.0, −0.1) | −2.4 (−3.1, −1.6) |
Quit3 | 18 (−13, 49) | −52 (−78, −26) | 44 (−7, 95) | −34 (−78, 9) | −2.0 (−3.3, −0.7) | −2.8 (−3.9, −1.6) | |
Former | −50 (−57, −44) | −36 (−42, −30) | −46 (−57, −35) | −22 (−32, −12) | −1.3 (−1.6, −1.0) | −1.4 (−1.7, −1.2) | |
Never | −42 (−48, −37) | −39 (−45, −34) | −39 (−49, −29) | −34 (−44, −25) | −1.4 (−1.6, −1.1) | −1.3 (−1.5, −1.0) | |
| |||||||
Vitamin E4 19.5 vs. 5.1 α-TE/day |
Continuous | −29 (−48, −9) | −42 (−57, −26) | −36 (−68, −3) | −29 (−55, −2) | −1.0 (−2.3, 0.3) | −2.4 (−3.3, −1.5) |
Quit3 | 37 (1, 74) | −59 (−86, −32) | 78 (17, 139) | −47 (−92, −1) | −2.0 (−3.4, −0.6) | −2.7 (−3.8, −1.6) | |
Former | −45 (−51, −39) | −41 (−46, −36) | −39 (−49, −29) | −28 (−37, −20) | −1.4 (−1.6, −1.1) | −1.4 (−1.6, −1.2) | |
Never | −41 (−46, −35) | −41 (−46, −36) | −35 (−45, −25) | −38 (−46, −29) | −1.5 (−1.7, −1.2) | −1.2 (−1.4, −1.0) | |
| |||||||
β-carotene5 6592 vs. 1186 μg/day |
Continuous | −40 (−59, −20) | −35 (−50, −20) | −37 (−70, −4) | −28 (−54, −3) | −1.7 (−2.8, −0.6) | −2.0 (−2.7, −1.2) |
Quit3 | 42 (−1, 84) | −51 (−77, −24) | 62 (−9, 133) | −28 (−72, 16) | −2.0 (−3.8, −0.2) | −2.2 (−3.2, −1.1) | |
Former | −41 (−48, −34) | −43 (−48, −38) | −34 (−45, −22) | −32 (−41, −24) | −1.4 (−1.7, −1.1) | −1.4 (−1.6, −1.2) | |
Never | −43 (−49, −37) | −39 (−44, −34) | −38 (−48, −28) | −36 (−44, −27) | −1.3 (−1.6, −1.0) | −1.3 (−1.6, −1.1) | |
| |||||||
Fruits & Vegetables6 8 vs. 2 servings/day |
Continuous | −21 (−41, −1) | −46 (−62, −31) | −12 (−45, 22) | −45 (−71, −18) | −1.6 (−2.7, −0.6) | −2.1 (−2.8, −1.3) |
Quit3 | −7 (−33, 19) | −48 (−75, −20) | 11 (−33, 54) | −21 (−67, 25) | −2.2 (−3.4, −1.0) | −2.7 (−3.9, −1.6) | |
Former | −49 (−56, −42) | −37 (−44, −31) | −39 (−50, −27) | −28 (−39, −17) | −1.4 (−1.7, −1.1) | −1.3 (−1.6, −1.1) | |
Never | −42 (−48, −36) | −40 (−46, −33) | −38 (−48, −28) | −35 (−46, −24) | −1.3 (−1.5, −1.0) | −1.3 (−1.6, −1.1) |
Abbreviations: α-TE, α-Tocopherol Equivalents; FEV1, Forced Expiratory Volume in the 1st second of effort; FVC, Forced Vital Capacity;
Rate of decline estimated from hierarchical mixed models for each nutrient, adjusted for age, height, race, gender, pulmonary drug use, study site, years of education, family income, current cigarettes/day, and calorie intake (separate models for each antioxidant, all nutrient variables modeled as continuous variables, but presented as contrasts of high vs. low intake to illustrate effect size).
P for interaction of vitamin C intake with smoking P < 0.0001 (FEV1); P =0.002 (FVC); and P =0.1 (FEV1/FVC).
Quit category is comprised of smokers at baseline who quit during follow-up.
P for interaction of vitamin E intake with smoking P = 0.003 (FEV1); P= 0.005 (FVC); P= 0.2 (FEV1/FVC).
P for interaction of B-carotene with smoking P = 0.003 (FEV1); P =0.2 (FVC); P =0.9 (FEV1/FVC).
P for interaction of fruit and vegetable intake with smoking P = 0.003 (FEV1); P= 0.2 (FVC); P =0.8 (FEV1/FVC).
Continuing smokers who consumed diets high in either vitamin C or vitamin E had slower rates of decline in FEV1 (−25 and −29 ml/year) compared to continuing smokers who consumed diets low in these nutrients (−43 and −42 ml/yr). Continuing smokers who consumed diets high in fruits and vegetables had about half the rate of decline observed in continuing smokers who consumed diets low in fruits and vegetables. The rate of decline in continuing smokers did not differ by intake of β-carotene (Table 2).
In smokers who quit, high antioxidant intake was associated with greater attenuation in the rate of decline compared to associations described above for continuing smokers. In quitters with higher intake of nutrients with antioxidant properties changes in FEV1 were positive; FEV1 increased by about 1 to 2% in high intake groups, whereas it declined by about 2.5% in low intake groups. Thus, high vs. low intake was associated with a 70, 96, and 93 ml/year difference in rate of decline in FEV1 for vitamins C, E, and β-carotene, respectively. A high intake of fruits and vegetables (vs. low) was associated with an attenuated rate of decline (attenuated by 41 ml/year, P interaction = 0.003) that was similar in magnitude to that observed in continuing smokers.
When dietary vitamin C, vitamin E, and β-carotene were included in the same model to account for possible overlap in the effects of these nutrients, a high intake of all three antioxidants (compared to low intake of all) was associated with a 12 ml/year slower decline in continuing smokers and a 98 ml/year difference in decline among quitters. The statistical significance of all terms was reduced, and the interaction between vitamin C, smoking status, and time had the lowest p-value (P=0.006). Little or no change in the results was observed with the addition of other potentially confounding variables including time-varying variables for co-morbidities (cardiovascular disease, diabetes, and hypertension), exercise, and time since last smoked.
In analyses of FVC, results were less consistent than for FEV1. There was a statistically significant interaction of vitamin C intake and smoking on rate of decline in FVC (p=0.002) such that current smokers who were high consumers of vitamin C had about half the rate of decline as low consumers. Similar to findings for FEV1, quitters with high consumption had positive changes in FVC, whereas quitters with low consumption had rates of decline similar to the overall mean. While the set of vitamin E interactions was statistically significant (p= 0.005), the pattern of effects was less consistent. Thus, the intake of vitamin E had little or no association with rate of decline in FVC in continuing smokers, but quitters with high vitamin E consumption had positive changes in FVC, whereas quitters with low consumption had approximately average rates of decline. Interactions between fruit/vegetable or β-carotene intake and smoking on rate of FVC decline were not statistically significant although effects were in the same direction as FEV1 analyses. For the FEV1/FVC ratio outcome, all effects were in the same direction (less steep declines in smoke-exposed subgroups with higher consumption of nutrients and foods with antioxidant properties), but none of the interaction coefficients were statistically significant (data not shown).
DISCUSSION
Dietary antioxidant intake is a potentially modifiable predictor of the decline in FEV1 in this longitudinal study of well-functioning older adults. In Health ABC Study participants, consuming a diet high in antioxidants was associated with an attenuated slope of decline in lung function in current smokers, the population subgroup at greatest risk of lung-related disability and death. In smokers, higher intakes of vitamin C, vitamin E, β-carotene, and fruits and vegetables were associated with meaningful differences in the trajectory of change in FEV1. In participants who continued to smoke over four years of follow-up, vitamin C and fruit and vegetable intake had the strongest associations; smokers with high intakes had 18 and 24 ml/year lower rate of decline in FEV1 compared to smokers with low intakes. In participants who quit smoking, all dietary antioxidants had strong inverse associations with rate of decline: the rate of decline in FEV1 was attenuated in quitters with high intakes of vitamin E, β-carotene, vitamin C and fruit compared to quitters with low intake. The association of fruits and vegetables with lung function decline was similar in continuing smokers and quitters, suggesting a broad role for these foods in persons who are smoke-exposed. While larger effects were noted for vitamins C, E, and β-carotene in quitters, confidence intervals were wide for this small subgroup.
Prior studies of younger adult populations reported associations between dietary antioxidant intake and rate of decline in FEV1 similar in magnitude to the Health ABC Study findings. Changes over time in the consumption of fresh fruit were associated with rate of decline in FEV1 in healthy British adults (age 18–73): participants with the largest decrease in fruit intake had a steeper rate of decline in FEV1 (89 ml/year and 133 ml/year steeper for men and women) compared to participants with no change in fruit intake,[19] and effects were strongest among cigarette smokers. The British study also reported that average fruit intake (vs. change in fruit intake) had little or no association with rate of decline, underscoring the importance of appropriately timed measurements of dietary intake. In middle-aged Welshmen (age 45–59) followed for 5 years, the rate of FEV1 decline was 10 – 15 ml/year slower in men with high apple intake compared to men with low intake; however, no associations were found for vitamins C, E, and β-carotene. Nottingham adults (age 18–70) consuming diets high in vitamin C (100 mg higher than low vitamin C diets) had an attenuation in the rate of decline in FEV1 (by about 6 ml/yr), but no associations were found for vitamins A and E.[12] In a cohort of heavy smoking French adults (age 20–44), higher levels of serum β-carotene and serum vitamin E were associated with slower rates of decline in FEV1.[20] None of the above-mentioned longitudinal studies are in the age range reported herein. Similarly, most of the cross-sectional studies that have investigated this hypothesis are in younger populations, and most reported positive associations between vitamins C and E, β-carotene, fruits and vegetables and lung outcomes,[9–15, 19–25] with the strongest effect sizes often identified in cigarette smokers.
In Health ABC never and former smokers, the intake of nutrients and foods with antioxidant properties had little or no association with the rate of decline in FEV1. Similarly, when antioxidant terms were included in models without interactions with smoking status, the main effects were not statistically significant (data not shown). These findings are consistent with the hypothesis that a protective effect of nutrients with antioxidant properties is expected primarily in persons with a high burden of oxidative stress. Thus, the role of dietary antioxidants may be to provide additional functional capacity to reduce damage from exposure to oxidants. The findings suggest a testable hypothesis: non-smokers may not benefit from increasing the intake of nutrients with antioxidant properties because their overall level of oxidant burden is low enough to be well-managed by endogenous capacity.
The Health ABC study allows a closer look at the rate of decline in lung function associated with smoking status in a cohort of older adults. Of particular interest is the difference in rate of decline in FEV1 between continuing smokers (44 ml/year) and quitters (31 ml/year), underscoring the significant functional improvements that may be attained with smoking cessation at advanced ages. Attenuating the rate of decline is especially important in smokers, because, on average, smokers have lower starting FEV1 values, and are at greater risk of disability and death.
In the Health ABC study, spirometry was conducted beyond the time points studied, with additional measurements at 7 and 9 years of follow-up. Given that exposure (dietary antioxidants) was measured only once early in the follow-up period, it was important to carefully consider the optimal outcome to investigate the hypothesis. If the balance between antioxidants and oxidants in the lungs is hypothesized to affect the rate of decline in lung function, then concurrent measurements of diet, smoking parameters, and lung function are likely to be most informative. Thus, the longitudinal spirometry outcome data were limited to the time period closest to the dietary assessment time point. When the analysis was extended to include spirometry from later visits (7 and 9 years), the magnitudes of the associations were similar, but less statistically significant. In this vulnerable age group, many factors are associated with dietary changes, including new disease diagnoses, onset of functional impairment, changes in living situation, and loss of a spouse.[26–28] Thus, the strongest analytic approach is one that limits consideration of pulmonary function changes to the same time period in which diet was measured.
In any observational study of diet, unaddressed confounding is a concern in interpreting results. Variables representing the following potential confounders of the diet–rate of FEV1 decline associations were considered in all models: body mass index, cigarettes/day, environmental oxidant exposure (study site, education, and family income were used as proxies for environmental exposures). There was little or no change in the reported associations when potential confounding by co-morbidities (covariates included prevalent and incident diagnoses of cardiovascular disease, diabetes, and hypertension) and exercise/physical activity were considered.
While the hypothesis posits an effect of diet on the oxidant/antioxidant balance, the diet—rate of decline associations may be mediated through other biological pathways such as muscle strength or inflammation. The finding of similar associations with FVC raises the possibility of other pathways, although findings for the FVC outcome were less consistent. These data cannot definitively address the biological mechanisms, but support the need for further mechanistic studies.
The use of GOLD categories for defining prevalent COPD has been debated, especially in older populations.[29] When participants were excluded on the basis of lower limit of normal-defined COPD instead of GOLD-defined COPD, neither the size nor the strength of the observed associations was affected.
A strength of this study is the use of data from a large, prospective cohort study of elderly people; this population subgroup stands to benefit from research aimed at understanding how to prevent loss of lung function. The quality control standards for spirometry in Health ABC followed best practice, as evidenced by the excellent overall quality of the pulmonary function data. The use of two separate methods to estimate dietary intake of nutrients with antioxidant properties, micronutrients and whole foods, yielded similar results, suggesting that the findings represent true associations of diet and lung function. The consideration of simultaneous models including all nutrients diminishes the possibility that observed associations were primarily driven by a single dietary constituent.
There are also several limitations of the study. While the use of antioxidant supplements is expected to contribute to overall antioxidant status, this study did not record the dose and frequency of antioxidant supplement use. Survivor bias is of concern in a study of older adults: non-random loss-to-follow-up results in healthier participants at follow-up. Survivor bias is evident when participants contributing data at each measurement are compared: participants with follow-up data were younger, more often female, and smoked less. If participants who did not remain in the study had a greater burden of oxidative stress (given their smoking history and age, this may be a reasonable hypothesis) then, in light of the findings in participants with the highest burden of oxidative stress, even stronger associations than those observed might be expected.
This study of older adults supports the hypothesis that nutrients with antioxidant properties are associated with a slower rate of FEV1 decline in current and quitting smokers. Whether changing the intake of foods rich in nutrients with antioxidant properties will lead to a slower rate of decline in FEV1 remains to be demonstrated; the results from the Health ABC cohort support this inference.
Supplementary Material
Acknowledgments
The authors thank Françoise Vermeylen for her helpful suggestions about statistical analysis and programming.
FUNDING
This work was supported by the National Institutes of Health (grant number T32 DK007158-31 to ARB; grant number R01HL74104 to SBK; grant number R01HL071022 to PAC); and the National Institutes of Aging (grant numbers N01-AG-6-2101, N01-AG-2103, and N01-AG-6-2106 to the Health ABC Study). This research was supported in part by the Intramural Research Program of the NIH, National Institute on Aging.
References
- 1.Harman D. Free Radical Theory of Aging: An Update. Annals of the New York Academy of Sciences. 2006;1067:10–21. doi: 10.1196/annals.1354.003. [DOI] [PubMed] [Google Scholar]
- 2.Fletcher CM. The Natural History of Chronic Bronchitis and Emphysema : An Eight-Year Study of Early Chronic Obstructive Lung Disease in Working Men in London. Oxford University Press; Oxford ; New York: 1976. [Google Scholar]
- 3.Ito K, Barnes PJ. COPD as a Disease of Accelerated Lung Aging. Chest. 2009;135(1):173–180. doi: 10.1378/chest.08-1419. [DOI] [PubMed] [Google Scholar]
- 4.Griffith KA, Sherrill DL, Siegel EM, Manolio TA, Bonekat HW, Enright PL. Predictors of Loss of Lung Function in the Elderly. The Cardiovascular Health Study. American Journal of Respiratory and Critical Care Medicine. 2001;163(1):61–68. doi: 10.1164/ajrccm.163.1.9906089. [DOI] [PubMed] [Google Scholar]
- 5.MacNee W. Accelerated lung aging: a novel pathogenic mechanism of chronic obstructive pulmonary disease (COPD) Biochemical Society Transactions. 2009;037(4):819–823. doi: 10.1042/BST0370819. [DOI] [PubMed] [Google Scholar]
- 6.Folkerts G, Kloek J, Muijsers RBR, Nijkamp FP. Reactive nitrogen and oxygen species in airway inflammation. European Journal of Pharmacology. 2001;429(1–3):251–262. doi: 10.1016/s0014-2999(01)01324-3. [DOI] [PubMed] [Google Scholar]
- 7.Rahman I, MacNee W. Role of oxidants/antioxidants in smoking-induced lung diseases. Free Radical Biology and Medicine. 1996;21(5):669–681. doi: 10.1016/0891-5849(96)00155-4. [DOI] [PubMed] [Google Scholar]
- 8.Kirkham P, Rahman I. Oxidative stress in asthma and COPD: Antioxidants as a therapeutic strategy. Pharmacology & Therapeutics. 2006;111(2):476–494. doi: 10.1016/j.pharmthera.2005.10.015. [DOI] [PubMed] [Google Scholar]
- 9.Butland BK, Fehily AM, Elwood PC. Diet, lung function, and lung function decline in a cohort of 2512 middle aged men. Thorax. 2000;55(2):102–108. doi: 10.1136/thorax.55.2.102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Grievink L, Smit HA, Ocke MC, van ‘t Veer P, Kromhout D. Dietary intake of antioxidant (pro)-vitamins, respiratory symptoms and pulmonary function: the MORGEN study. Thorax. 1998;53(3):166–171. doi: 10.1136/thx.53.3.166. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Hu G, Zhang X, Chen J, Peto R, Campbell TC, Cassano PA. Dietary vitamin C intake and lung function in rural China. Am J Epidemiol. 1998;148(6):594–599. doi: 10.1093/oxfordjournals.aje.a009685. [DOI] [PubMed] [Google Scholar]
- 12.McKeever TM, Scrivener S, Broadfield E, Jones Z, Britton J, Lewis SA. Prospective study of diet and decline in lung function in a general population. Am J Respir Crit Care Med. 2002;165(9):1299–1303. doi: 10.1164/rccm.2109030. [DOI] [PubMed] [Google Scholar]
- 13.Ochs-Balcom HM, Grant BJ, Muti P, Sempos CT, Freudenheim JL, Browne RW, McCann SE, Trevisan M, Cassano PA, Iacoviello L, Schunemann HJ. Antioxidants, oxidative stress, and pulmonary function in individuals diagnosed with asthma or COPD. Eur J Clin Nutr. 2006:991–999. doi: 10.1038/sj.ejcn.1602410. [DOI] [PubMed] [Google Scholar]
- 14.Tabak C, Smit HA, Heederik D, Ocke MC, Kromhout D. Diet and chronic obstructive pulmonary disease: independent beneficial effects of fruits, whole grains, and alcohol (the MORGEN study) Clin Exp Allergy. 2001;31(5):747–755. doi: 10.1046/j.1365-2222.2001.01064.x. [DOI] [PubMed] [Google Scholar]
- 15.Walda IC, Tabak C, Smit HA, Rasanen L, Fidanza F, Menotti A, Nissinen A, Feskens EJ, Kromhout D. Diet and 20-year chronic obstructive pulmonary disease mortality in middle-aged men from three European countries. Eur J Clin Nutr. 2002;56(7):638–643. doi: 10.1038/sj.ejcn.1601370. [DOI] [PubMed] [Google Scholar]
- 16.Yende S, Waterer GW, Tolley EA, Newman AB, Bauer DC, Taaffe DR, Jensen R, Crapo R, Rubin S, Nevitt M, Simonsick EM, Satterfield S, Harris T, Kritchevsky SB. Inflammatory markers are associated with ventilatory limitation and muscle dysfunction in obstructive lung disease in well functioning elderly subjects. Thorax. 2006;61(1):10–16. doi: 10.1136/thx.2004.034181. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Lee JS, Kritchevsky SB, Tylavsky FA, Harris T, Everhart J, Simonsick EM, Rubin SM, Newman AB. Weight-loss intention in the well-functioning, community-dwelling elderly: associations with diet quality, physical activity, and weight change. American Journal of Clinical Nutrition. 2004;80(2):466–474. doi: 10.1093/ajcn/80.2.466. [DOI] [PubMed] [Google Scholar]
- 18.Waterer GW, Wan JY, Kritchevsky SB, Wunderink RG, Satterfield S, Bauer DC, Newman AB, Taaffe DR, Jensen RL, Crapo RO for the Health ABCS. Airflow Limitation is Underrecognized in Well-Functioning Older People. Journal of the American Geriatrics Society. 2001;49(8):1032–1038. doi: 10.1046/j.1532-5415.2001.49205.x. [DOI] [PubMed] [Google Scholar]
- 19.Carey IM, Strachan DP, Cook DG. Effects of Changes in Fresh Fruit Consumption on Ventilatory Function in Healthy British Adults. American Journal of Respiratory and Critical Care Medicine. 1998;158(3):728–733. doi: 10.1164/ajrccm.158.3.9712065. [DOI] [PubMed] [Google Scholar]
- 20.Guenegou A, Leynaert B, Pin I, Le Moel G, Zureik M, Neukirch F. Serum carotenoids, vitamins A and E, and 8 year lung function decline in a general population. Thorax. 2006;61(4):320–326. doi: 10.1136/thx.2005.047373. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Britton J, Pavord I, Richards KA, Knox AJ, Wisniewski AF, Lewis SA, Tattersfield AE, Weiss ST. Dietary antioxidant vitamin intake and lung function in the general population. Am J Respir Crit Care Med. 1995;151(5):1383–1387. doi: 10.1164/ajrccm.151.5.7735589. [DOI] [PubMed] [Google Scholar]
- 22.Chen R, Tunstall-Pedoe H, Bolton-Smith C, Hannah MK, Morrison C. Association of Dietary Antioxidants and Waist Circumference with Pulmonary Function and Airway Obstruction. American Journal of Epidemiology. 2001;153(2):157–163. doi: 10.1093/aje/153.2.157. [DOI] [PubMed] [Google Scholar]
- 23.Hu G, Cassano PA. Antioxidant nutrients and pulmonary function: the Third National Health and Nutrition Examination Survey (NHANES III) Am J Epidemiol. 2000;151(10):975–981. doi: 10.1093/oxfordjournals.aje.a010141. [DOI] [PubMed] [Google Scholar]
- 24.Kelly Y, Sacker A, Marmot M. Nutrition and respiratory health in adults: findings from the Health Survey for Scotland. European Respiratory Journal. 2003;21(4):664–671. doi: 10.1183/09031936.03.00055702. [DOI] [PubMed] [Google Scholar]
- 25.McKeever T, Lewis S, Smit H, Burney P, Cassano P, Britton J. A multivariate analysis of serum nutrient levels and lung function. Respiratory Research. 2008;9(1):67. doi: 10.1186/1465-9921-9-67. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Keenan PS. Smoking and Weight Change After New Health Diagnoses in Older Adults. Archives of Internal Medicine. 2009;169(3):237–242. doi: 10.1001/archinternmed.2008.557. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Payette H, Shatenstein B. Determinants of Healthy Eating in Community-dwelling Elderly People. Canadian Journal of Public Health. 2005;96:S27–S31. [PubMed] [Google Scholar]
- 28.Shatenstein B. Impact of Health Conditions on Food Intakes Among Older Adults. Journal of Nutrition for the Elderly. 2008;27(3/4):333–361. doi: 10.1080/01639360802265889. [DOI] [PubMed] [Google Scholar]
- 29.Swanney MP, Ruppel G, Enright PL, Pedersen OF, Crapo RO, Miller MR, Jensen RL, Falaschetti E, Schouten JP, Hankinson JL, Stocks J, Quanjer PH. Using the lower limit of normal for the FEV1/FVC ratio reduces the misclassification of airway obstruction. Thorax. 2008;63(12):1046–1051. doi: 10.1136/thx.2008.098483. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.