Skip to main content
PLOS One logoLink to PLOS One
. 2020 Sep 29;15(9):e0239674. doi: 10.1371/journal.pone.0239674

Trends and factors of botanical dietary supplement use among US adults with COPD from 1999 to 2016

Yanjie Sun 1, Rongying Wang 1, Weiwei Tang 2,3,4, Chao Li 5, Nan Huo 6,*
Editor: Muhammad Adrish7
PMCID: PMC7523968  PMID: 32991612

Abstract

Background

The potential effects of botanical dietary supplements (BDS) in the treatment of asthma have been proposed. However, the evidence of the effects of BDS use among patients with COPD is limited. The objective of our study was to exam the trends and effects of BDS use among US adults with COPD.

Methods

A serial, cross-sectional study was conducted by using data of the NHANSE from 1999 to 2016 (n = 53,348). COPD (n = 2,580) was identified by using self-reported diagnosis history, and any BDS use was identified in the past 30 days. The prevalence of BDS use was calculated for respondents with and without COPD. Simple linear regression models were applied to test for trends in BDS use. Multiple logistic regression models were used to identify the factors of BDS use and patients’ clinical outcomes, including all-cause hospitalization and abnormal hemoglobin levels, associated with BDS use. The results were weighted to represent national estimates.

Results

The prevalence of BDS use was greater among participants who had COPD compared to the referent group (mean 16.77% vs. 15.11%, p = 0.044). The trend of BDS use decreased from 1999 through 2016 in COPD group (p = 0.0023), but the trend remained stable in the non-COPD group (P>0.05). Results of multivariate logistic regression models showed that patients with higher family income (≥100% FPL) and graduated from college were more likely to use BDS compared with non-users. BDS use was associated with a lower likelihood of having all-cause hospitalization (adjusted odds ratio = 0.64; 95% CI 0.45–0.92) and abnormal levels of hemoglobin (adjusted odds ratio = 0.67; 95% CI 0.49–0.92) among adult COPD patients, after adjusting for covariates.

Conclusions

The overall use of BDS decreased during 1999 through 2016 for US adults with COPD. The potential benefit of these supplemental medications use for clinical outcomes might exist for adult COPD patients.

Introduction

Chronic obstructive pulmonary disease (COPD) is a common group of chronic lung conditions with characteristics that are progressive and irreversible airflow obstruction [1]. COPD is a worldwide public health condition that usually onsets in middle-aged or elderly persons, especially those with a long history of smoking. COPD includes chronic bronchitis (CB) and emphysema. Based on the CDC report, more than 10% of the population older than 45 years in the United States has been diagnosed with COPD [2]. As the third leading cause of death in the United States, the mortality from COPD has increased during the past 30 years in both men and women [3]. Due to the high prevalence of COPD, both direct and indirect COPD related medical costs exceed $40 billion annually in the United States [4, 5].

As a chronic condition, there is no cure for COPD [1]. COPD treatment goals involve symptom management, reduction or prevention of recurrent exacerbations, lung function improvement, and enhancing quality of life by using a variety of medications such as β-agonists, corticosteroids, and leukotriene modifiers. However, long-term use COPD medications, especially corticosteroids, patients usually need to face the quality of life reduction that is induced by side effects. Therefore, similar to other chronic diseases, an increasing number of Americans pursue complementary and alternative medicine (CAM) to improve general health or quality of life [6, 7]. Botanical dietary supplements (BDS), which is the most popular type of CAM that has been used for a variety of chronic diseases management such as asthma [8, 9], diabetes, rheumatoid arthritis, and cancer [10].

Hemoglobin (Hb) abnormalities are common in COPD patients [1113], which include anemia and polycythemia. Although both of them are encountered in COPD, the prevalence of polycythemia is much lower than anemia [14], and the prevalence of anemia might be reported up to 46% [15, 16]. Hemoglobin can be a prognostic factor of COPD patients because it is related to patients health status such as nutrition, comorbid diseases, medication, tissue oxygen supply, and systemic inflammation [11, 1719]. Although evidence has been indicated the potential benefits of BDS for those chronic diseases, especially COPD similar disease—asthma, there has not been any nationally representative studies to understand the patterns of BDS use and assess their impact on clinical outcomes and Hb level of patients with COPD in real-world settings. Therefore, the main objectives of this study were to understand the trend of BDS use among COPD patients in the United States from 1999 to 2016 and to examine the associations between BDS use and COPD related clinical outcomes by using National Health and Nutrition Examination Survey (NHANES) data.

Methods

Data source and study population

This was a serial, retrospective cross-sectional study design by using 9 cycles of the NHANSE datasets from 1999 to 2016. The NHANES dataset is a nationally representative cross-sectional survey data that is conducted by the National Center for Health Statistics. It is a large-scale continuing probability survey of households’ representatives of the civilian non-institutionalized population in the U.S. It is conducted annually by the National Center for Health Statistics (NCHS) from the Centers at Disease Control and Prevention (CDC). In this study, adult participants (aged ≥18 years old) who completed continuous 2-year cycles from 1999 to 2016 household interviews were included. The overall unweighted response rate for the entire 9 cycles was 76%, and each specific cycle unweighted response rate was 69% to 84%.

For this study, we used the Medical Conditions file to identify COPD status (yes/no) based on two survey questions before the 2011–2012 cycle year, "Has a doctor ever told you that you have emphysema?" and "Do you still have chronic bronchitis?". After 2012, COPD status was identified by the question of "Has a doctor ever told you that you have COPD?". Adult participants were classified as having current COPD by answering "yes" to either one of these two questions. We also excluded individuals with missing or incomplete self-reported data on COPD status or education level. The final study sample includes 2,580 adults (weighted n = 14,793,841) with COPD and 50,768 without COPD (weighted n = 232,741,893). This study was approved by the Hebei Medical University institutional review board.

Measurements

BDS use was measured as a binary variable from the NHANES DS data files based on the question of "During the past 30 days, have you taken any dietary supplements?" and calculated the number of botanicals in the supplements by using the variable of DSDCNTB in the dataset. If respondents’ answers were "yes" or DSDCNTB ≥1, their BDS use was identified as "Yes," otherwise, their BDS use was defined as "No." The BDS use in this study included both single ingredient and combination products. The BDS included in the survey can be found on the NHANES website.

COPD clinical outcomes were identified as binary variables of having Hospitalization (Yes/no) and having a lower level of hemoglobin (Yes/no) among COPD patients. The question from the Hospital Utilization & Access to Care (HUQ_B) file was asked to the respondents to determine whether they had overnight hospitalization in the past 12 months. The question was, "During the past 12 months, were you a patient in a hospital overnight?" The level of hemoglobin was identified from the Complete Blood Count with 5-part Differential—Whole Blood (L25_B) file. If respondents’ hemoglobin levels were less than 13.5 g/dL in a man or less than 12 g/dL in a woman, they were defined as low levels of hemoglobin.

The following covariates were identified from the Prescription Medications and Medical Conditions files and the Demographic Variables and Sample Weights files: sociodemographic variables included sex (male and female), race/ethnicity (non-Hispanic white, others), age (≤39, 40–64, ≥65), marital status (married, never married, widowed or divorced, Unknown), annual family income status based on the Federal Poverty Level (FPL) (<100% FPL, 100%-200% FPL, 200%-400% FPL, >400% FPL, unknown), employment status (unemployed/unknown, employed), education level (high school or lower, some college, bachelor or higher), and health insurance status (Yes/No). Comorbidity and prescriptions were identified by using the self-reported diagnosis of health conditions (in total, 25 other health conditions excluding COPD) in the past 12 months, and the self-reported number of unique prescription medications.

Statistical analysis

First, we estimated the overall prevalence trends of BDS use among adults with and without COPD. A simple linear regression model with a count-independent variable for the temporal cycle (cycles 1–9) was used to test (2-sided) for trends across 9 cycles. Generalized linear model by using the generalized linear model (GENMOD) procedure and log-link function was used to compare the difference of marginal mean difference (MMD) in the prevalence of BDS use within each NHANES cycle between participants with and without COPD.

Then we compared covariates between patients with COPD with and without any BDS use in COPD samples using Chi-square tests. Proportions of participants with any all-cause hospitalization and low levels of hemoglobin were also compared between patients with COPD with and without any BDS use in COPD samples. Proportion estimates were calculated by using NHANES weights, which were calibrated to the US census totals for sex, age, and race/ ethnicity of the US population by each year cycle.

Three multivariable logistic regression models were used to identify factors associated with any BDS use (Model 1), and test the associations between any BDS use with COPD outcomes (Model 2 –having Hospitalization; Model 3 –having a lower level of hemoglobin) among adults COPD patients. All multivariable models were adjusted for covariates that were statistically significant in the bivariable analysis at P<0.05. We further tested the significance of the interaction term of BDS use and family income in model 2 and model 3 because previous literature has indicated that individuals with higher income are more likely to use supplemental treatments [2022]. Results from multivariable models were weighted to represent national adult patients with COPD. The parameter estimates from the models were presented as adjusted odds ratio (AOR) and their corresponding 95% confidence intervals (CI). All analyses were conducted using SAS version 9.4 (SAS Institute, Inc., Cary, NC) and tests of statistical significance were conducted at the two-tailed α-level of 0.05.

Results

Results from trend analyses

Overall, there was a statistically significant decrease in the prevalence of any BDS use among patients with COPD during 1999 through 2016 (Ptrend = 0.0023) (Fig 1). However, there was no statistically significant change in the prevalence of any BDS use among patients without COPD during 1999 through 2016. The prevalence of BDS use was higher among patients with COPD (range: 21.30%-12.59%; overall mean = 16.77%) than among respondents without COPD (range: 12.30%-17.74%; overall mean = 15.51%) in each NHANES cycle.

Fig 1. Trends in the current use of any Botanical Dietary Supplements (BDS) among patients with COPD in the United States (weighted = 232,741,893).

Fig 1

Results of factors associated with any BDS use

The characteristics of the study sample are presented in Table 1. From 1999 through 2016, in total, 17.19% of US adults with COPD reported using any BDS in the past 30 days (Table 1). Adjusted results showed that among adult COPD patients, BDS users tend to be non-Hispanic white, having higher family income, having health insurance, higher education levels, non-smokers, receiving fewer prescription medications, and had fewer other health conditions(Table 1 all P<0.05). However, results from the multivariable logistic regression model only found that COPD patients who had higher family income and higher education levels were more likely to use BDS compared to their counterparts. (Table 1).

Table 1. Sample characteristics for U.S. Adults with COPD and adjusted odds ratios of associations with Botanical Dietary Supplements (BDS) use among adult COPD patients (N = 2,580, weighted n = 103,484,187).

COPD Patients Likelihood of Using BDS
Variable BDS Users N (%)1 BDS Non-users N (%)1 P* AOR (95% CI)^
N = 374 Weighted % (17.19) N = 2206 Weighted % (82.81)
Age 0.3554
 ≤39 78 25.56 437 23.30
 40–64 167 50.88 971 49.05
 ≥65 129 23.56 798 27.65
Sex 0.2044
 Male 128 31.08 818 35.26
 Female 246 68.92 1388 64.74
Race/Ethnicity 0.0136*
 Non-Hispanic White 265 84.69 1310 77.76 1.42 (0.98–2.08)
 Others 109 15.31 896 22.24 ref
Employment status 0.8555
 Unemployed/unknown 23 5.70 147 6.06
 Employed 351 94.30 2059 93.94
Marital Status 0.7471
 Never married 33 9.86 274 12.37
 Married 191 49.02 967 48.18
 Widowed or divorced 116 28.36 680 26.35
 Unknown/inapplicable 34 12.75 285 13.10
Annual Family Income <.0001*
 <100% FPL 40 7.33 575 21.81 ref
 100–200% FPL 102 22.69 661 26.77 2.43 (1.54–3.84)
 200–400% FPL 105 30.73 476 26.02 2.94 (1.69–5.12)
 >400% FPL 105 32.24 306 19.20 3.60 (2.15–6.05)
 Unknown 22 7.01 188 6.20
Education Level <.0001*
 High school 137 31.84 1294 53.10 ref
 Some college 141 39.75 630 30.81 2.03 (1.49–2.77)
 Bachelor’s degree 96 28.41 282 16.09 2.22 (1.41–3.49)
Health insurance 0.0004*
 No 52 14.60 351 16.11 ref
 Yes 322 85.40 1855 83.89 0.89 (0.59–1.35)
Smoking 0.0428*
 Non-Smoker 146 38.44 717 32.44 ref
 Current Smoker 228 61.56 1489 67.56 0.94 (0.70–1.27)
No. of prescription medications 0.0094*
0 113 28.83 566 26.66 ref
1–3 111 34.31 582 27.61 1.12 (0.78–1.59)
4–6 78 22.11 485 22.43 0.93 (0.60–1.43)
≥7 72 14.75 573 23.30 0.66 (0.40–1.09)
Other health conditions* 0.0025*
0 51 16.26 231 11.23 ref
1–2 185 52.55 1007 48.61 0.76 (0.53–1.11)
≥3 138 31.19 968 40.16 0.69 (0.43–1.10)

1Weighted percent

*Chi-square test significant at P<0.05

^All covariance variables that had Chi-square test P≥0.05 or small cell size (<20) were removed from the multivariable logistic regression models; adjusted odds ratios (AOR) and 95% confidence intervals (CI) were reported

* Other Health Conditions included 26 other health conditions excluding COPD

Associations between BDS use and COPD outcomes

Compared to adult COPD patients without BDS use (Table 2), those adults who used BDS had a lower rate (16.87% vs. 24.01%, P = 0.0151) of all-cause hospitalization in the past 12 months and a lower rate (14.78% vs. 18.10%, P = 0.0117) of low hemoglobin level. Multivariable results confirmed that BDS use was independently associated with a lower likelihood of having asthma-related ED visits (AOR = 0.64, 95% CI = 0.45, 0.92) and with the lower likelihood of having low hemoglobin levels (AOR = 0.67, 95% CI = 0.49, 0.92), after adjusting for all covariates, among adult COPD patients. The interaction term of BDS use and family income was not significant (P = 0.149), indicating that income did not modify the association between BDS use and a lower likelihood of COPD related hospitalization and low hemoglobin level.

Table 2. Associations between use of botanical dietary supplements with COPD clinical outcomes among adult COPD patients.

Adults COPD Patients 1
Variable Having hospitalization in last 12 months N (%)1 AOR (95% CI) Low Hemoglobin N (%)1 AOR (95% CI)
BDS Users Yes No P* Yes No Unknown* P*
Yes 65 (16.87) 309 (83.13) 0.0151 0.64 (0.45–0.92) 67 (14.78) 288 (80.99) 19 (4.23) 0.0117 0.67 (0.49–0.92)
No 601 (24.01) 1605 (75.99) ref 503 (18.10) 1490 (73.50) 213 (8.40) ref

^Other covariance variables had Chi-square less than 0.05 were collected into the multivariable logistic regression models; adjusted odds ratios (AOR) and 95% confidence intervals (CI) were reported

1Weighted percent.

*Chi-square

*Covariance variables in both hospitalizations and Hemoglobin level included sex, race, age, region, marital status, family income, prescription number, other health conditions.

*Hemoglobin level with missing were excluded from the multivariable logistic regression models.

Discussion

This study provides the first nationally representative profile of BDS use in adult populations with COPD. We found that about 17.19% of American adults with COPD used BDS from 1999 through 2016. The prevalence of BDS use among adult COPD patients was similar to its use in the general U.S. adult population (17.7%, 2012) [23]. However, after 2006, the prevalence of BDS use was lower than the general population, and more importantly, the trend of botanicals use among patients with COPD decreased from 21.3% to 12.59% through 1999 to 2016. Although our findings indicated a decreased trend of BDS use among COPD populations, the overall prevalence of BDS use among COPD patients was still slightly higher than non-COPD patients (16.77% vs. 15.51%). COPD is commonly diagnosed after the age of 45, and the highest prevalence is age above 65. Therefore, it is usually considered a disease of the elderly. Previous studies showed that, in some type of chronic diseases, such as cancer, and cardiovascular diseases, the trends of BDS were decreased, especially among elderly [10]. In addition, some studies indicated the patterns of all dietary supplements (DSs) among the general US population [2426]. One possible explanation may be that several BDS have potential side effects, toxicity, and drug-drug interactions, For example, some plant extracts do have side effects [2730], or even also have potential toxicity [31, 32]. In addition, some serious clinical consequences may be caused by herb-drug interaction [33, 34], such as Salvia miltiorrhiza, Glycyrrhiza uralensis, P. ginseng and Angelica sinensis [35, 36].

The second goal of our study was to determine the specific factors associated with BDS use among adults with COPD in the US. Similar to our previous study of DSs use among US adults with asthma [8], we found that in adults with COPD, BDS users trend to be having higher income or having higher education. Our findings were not fully consistent with some previous studies. In our study, we did not find age, sex, race, smoking, and multiple health conditions were significantly associated with BDS use. Previous studies indicated that younger individuals or women were more likely to use non-vitamin dietary supplements in general population or some specific types of chronic diseases, such as asthma [8, 37, 38]. However, those previous studies either focused on the use of CAM and DSs among general populations or focused on patients with other chronic diseases, such as asthma instead of COPD. Comparing with asthma, COPD is more common in the elderly population, and adults with COPD usually have more comorbidities than adults with asthma, especially comorbid with cardiac diseases, such as heart failure [39]. Therefore, COPD patients may be more concerned about the potential side-effects of using BDS than asthma patients. In addition, our study found a positive association between higher levels of education and income with a greater likelihood of BDS use in adults with COPD, which is consistent with previous similar studies. Indeed, patients with chronic diseases, not only COPD, who have higher socioeconomic factors may be more likely to afford and purchase BDS for their overall health maintenance or improvement from physical and psychological aspects [6]. Finally, evidence has shown that DSs users are more likely to be non-smokers and less likely to have risk factors of chronic conditions such as cardiovascular diseases [40]. However, in our study, we did not observe those factors associated with BDS use. Overall, in current study, we only observed socioeconomic factors (income and education) were associated with BDS use among adults with COPD. Actually, socioeconomic factors may associates with many other possible factors such as better health behaviors, better diseases management [41], or response to conventional treatment, emotional support [42], as well as better health outcomes. However, due to the limitation of NHANSE data, some of socioeconomic factors cannot be controlled. In future study, more socioeconomic factors should be included to reduce potential confounding bias.

The third goal of this study was to examine the associations between BDS use and COPD-related clinical outcomes in adult populations with COPD. We found that the use of these supplement products among adults with COPD was associated with less likelihood (36% less) of self-reported all-cause hospitalization and low levels of hemoglobin (33% less) compared with those who did not use BDS. This is the first evidence that we are aware of to document the association between BDS use and COPD clinical outcomes using real-world, nationally representative population-level data. Although previous research has indicated potential health benefits of dietary supplements to COPD, such as improving lung function or FEV1/FVC, there are still several limitations in those studies such as small sample size or focusing on a few botanical products [43, 44]. A few studies indicated several BDS had a potential function to improve pulmonary function, to relieve symptoms, or to reduce exacerbation severity and frequency in the treatment of COPD based on clinical trials such as P. ginseng [45], H. helix, S. miltiorrhiza [43], and some traditional Chinese herbal medicine (TCHM). For example, in 2002, a well-designed clinical study indicated that treatment with Asian herb might be better relief of COPD symptoms than placebo. In that study, people who took ginseng experienced significant improvements in lung function and exercise capacity, compared to those who did not use [45].

Our findings also indicate that BDS use might improve low hemoglobin level in COPD patients. Anemia is a common comorbidity with the prevalence of in COPD ranges from 7.5% to 32.7% [46], which is associated with increased morbidity and mortality [4750]. To our knowledge, our results indicated that BDS had the potential function to improve anemia in COPD patients. Although there is no solid evidence to support BDS may improve anemia from the biomedical aspect, some studies observed Chinese herbal medicine may prevent the decline of hemoglobin among patients with non-small cell lung cancer [51]. In addition, evidence supported that adults who use BDS had were more likely to have better health behaviors, such as physical activities [8], and less likely to have risk factors of chronic conditions such as cardiovascular diseases.

Limitations

This study has several limitations. First, the self-report nature of survey data usually introduces recall bias. The majority of variables, particularly self-reported hospitalizations, were derived from single survey questions, which may affect the precision of measurements and thereby introduce measurement bias. Second, potential measurement errors in BDS use patterns from NHANSE survey data might exist, such as underreporting. Disease severity of COPD cannot be directly determined from survey data, although the prescription of COPD medications can be a proxy measure for those BDS users. Third, our findings may be influenced by unmeasured confounders such as other socioeconomic factors, medication adherence, response to conventional treatment, or emotional support. Fourth, the retrospective, cross-sectional observational nature of the study design limits causality inference to the relationships between BDS treatment and COPD outcomes. Last but not least, this study did not capture potential confounders, such as type of care (e.g. specialty), medication use (type and adherence), environmental exposures, and different levels of health literacy of COPD patients.

Conclusion

In conclusion, our findings provide national estimates of trends in BDS among U.S. adult patients with and without COPD. The prevalence of BDS use is higher among adults with COPD than adults without COPD. However, the trend of BDS use among adults with COPD was decreasing by year. We found a lower likelihood of having all-cause hospitalization and low hemoglobin levels associated with BDS use among adult COPD patients. Practitioners should closely monitor the patterns of BDS among COPD patients to help balance its benefits and risks in patient wellness and clinical outcomes. Further studies of the relationships of BDS use to clinical COPD outcomes and patient’s quality of life are warranted.

Data Availability

All data files are available from the National Health and Nutrition Examination Survey database from CDC website. Link: https://wwwn.cdc.gov/nchs/nhanes/Default.aspx.

Funding Statement

The authors received no specific funding for this work.

References

  • 1.Wedzicha JA, Miravitlles M, Hurst JR, Calverley PM, Albert RK, Anzueto A, et al. Management of COPD exacerbations: A European respiratory society/American thoracic society guideline. European Respiratory Journal. 2017;49(3):1600791 10.1183/13993003.00791-2016 [DOI] [PubMed] [Google Scholar]
  • 2.Adeloye D, Chua S, Lee C, Basquill C, Papana A, Theodoratou E, et al. Global and regional estimates of COPD prevalence: Systematic review and meta–analysis. Journal of global health. 2015;5(2). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Wang H, Naghavi M, Allen C, Barber RM, Bhutta ZA, Carter A, et al. Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980–2015: a systematic analysis for the Global Burden of Disease Study 2015. The lancet. 2016;388(10053):1459–544. 10.1016/S0140-6736(16)31012-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Kassebaum NJ, Arora M, Barber RM, Bhutta ZA, Brown J, Carter A, et al. Global, regional, and national disability-adjusted life-years (DALYs) for 315 diseases and injuries and healthy life expectancy (HALE), 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015. The Lancet. 2016;388(10053):1603–58. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Dieleman JL, Baral R, Birger M, Bui AL, Bulchis A, Chapin A, et al. US spending on personal health care and public health, 1996–2013. Jama. 2016;316(24):2627–46. 10.1001/jama.2016.16885 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Bailey RL, Gahche JJ, Miller PE, Thomas PR, Dwyer JT. Why US adults use dietary supplements. JAMA internal medicine. 2013;173(5):355–61. 10.1001/jamainternmed.2013.2299 [DOI] [PubMed] [Google Scholar]
  • 7.Tilert T, Paulose-Ram R, Howard D, Butler J, Lee S, Wang MQ. Prevalence and factors associated with self-reported chronic obstructive pulmonary disease among adults aged 40–79: the National Health and Nutrition Examination Survey (NHANES) 2007–2012. EC pulmonology and respiratory medicine. 2018;7(9):650 [PMC free article] [PubMed] [Google Scholar]
  • 8.Huo N, Qian J. Associations of herbs and nonvitamin dietary supplements use with clinical outcomes among adult and pediatric patients with asthma in the United States. The Journal of Allergy and Clinical Immunology: In Practice. 2018;6(3):936–43. 10.1016/j.jaip.2017.09.015 [DOI] [PubMed] [Google Scholar]
  • 9.Huo N, Ray GE, Mehta S, LoBello SG. Complementary and alternative medicine use among people with asthma and health-related quality of life. Journal of Asthma. 2015;52(3):308–13. 10.3109/02770903.2014.963867 [DOI] [PubMed] [Google Scholar]
  • 10.Li C, Hansen RA, Chou C, Calderón AI, Qian J. Trends in botanical dietary supplement use among US adults by cancer status: The National Health and Nutrition Examination Survey, 1999 to 2014. Cancer. 2018;124(6):1207–15. 10.1002/cncr.31183 [DOI] [PubMed] [Google Scholar]
  • 11.Cote C, Zilberberg M, Mody S, Dordelly L, Celli B. Haemoglobin level and its clinical impact in a cohort of patients with COPD. European Respiratory Journal. 2007;29(5):923–9. 10.1183/09031936.00137106 [DOI] [PubMed] [Google Scholar]
  • 12.Vasquez A, Logomarsino JV. Anemia in chronic obstructive pulmonary disease and the potential role of iron deficiency. COPD: Journal of Chronic Obstructive Pulmonary Disease. 2016;13(1):100–9. 10.3109/15412555.2015.1043519 [DOI] [PubMed] [Google Scholar]
  • 13.Akram K, Pedersen-Bjergaard U, Carstensen B, Borch-Johnsen K, Thorsteinsson B. Frequency and risk factors of severe hypoglycaemia in insulin-treated Type 2 diabetes: a cross-sectional survey. Diabetic medicine. 2006;23(7):750–6. 10.1111/j.1464-5491.2006.01880.x [DOI] [PubMed] [Google Scholar]
  • 14.Kent BD, Mitchell PD, McNicholas WT. Hypoxemia in patients with COPD: cause, effects, and disease progression. International journal of chronic obstructive pulmonary disease. 2011;6:199 10.2147/COPD.S10611 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Hoepers ATdC, Menezes MM, Fröde TS. Systematic review of anaemia and inflammatory markers in chronic obstructive pulmonary disease. Clinical and Experimental Pharmacology and Physiology. 2015;42(3):231–9. 10.1111/1440-1681.12357 [DOI] [PubMed] [Google Scholar]
  • 16.Similowski T, Agusti A, MacNee W, Schönhofer B. The potential impact of anaemia of chronic disease in COPD. European Respiratory Journal. 2006;27(2):390–6. 10.1183/09031936.06.00143704 [DOI] [PubMed] [Google Scholar]
  • 17.Boutou AK, Karrar S, Hopkinson NS, Polkey MI. Anemia and survival in chronic obstructive pulmonary disease: a dichotomous rather than a continuous predictor. Respiration. 2013;85(2):126–31. 10.1159/000338792 [DOI] [PubMed] [Google Scholar]
  • 18.Plesner LL, Schoos MM, Dalsgaard M, Goetze JP, Kjøller E, Vestbo J, et al. Iron deficiency in COPD associates with increased pulmonary artery pressure estimated by echocardiography. Heart, Lung and Circulation. 2017;26(1):101–4. 10.1016/j.hlc.2016.04.020 [DOI] [PubMed] [Google Scholar]
  • 19.Martinez FJ, Foster G, Curtis JL, Criner G, Weinmann G, Fishman A, et al. Predictors of mortality in patients with emphysema and severe airflow obstruction. American journal of respiratory and critical care medicine. 2006;173(12):1326–34. 10.1164/rccm.200510-1677OC [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Kao GD, Devine P. Use of complementary health practices by prostate carcinoma patients undergoing radiation therapy. Cancer. 2000;88(3):615–9. [DOI] [PubMed] [Google Scholar]
  • 21.Morris KT, Johnson N, Homer L, Walts D. A comparison of complementary therapy use between breast cancer patients and patients with other primary tumor sites. The American Journal of Surgery. 2000;179(5):407–11. 10.1016/s0002-9610(00)00358-5 [DOI] [PubMed] [Google Scholar]
  • 22.Palinkas LA, Kabongo ML, Group SNS. The use of complementary and alternative medicine by primary care patients. Journal of Family Practice. 2000;49(12):1121–32. [PubMed] [Google Scholar]
  • 23.Clarke TC, Black LI, Stussman BJ, Barnes PM, Nahin RL. Trends in the use of complementary health approaches among adults: United States, 2002–2012. National health statistics reports. 2015;(79):1 [PMC free article] [PubMed] [Google Scholar]
  • 24.Kantor ED, Rehm CD, Du M, White E, Giovannucci EL. Trends in dietary supplement use among US adults from 1999–2012. Jama. 2016;316(14):1464–74. 10.1001/jama.2016.14403 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Wu C-H, Wang C-C, Kennedy J. Changes in herb and dietary supplement use in the US adult population: a comparison of the 2002 and 2007 National Health Interview Surveys. Clinical therapeutics. 2011;33(11):1749–58. 10.1016/j.clinthera.2011.09.024 [DOI] [PubMed] [Google Scholar]
  • 26.Wu C-H, Wang C-C, Tsai M-T, Huang W-T, Kennedy J. Trend and pattern of herb and supplement use in the United States: results from the 2002, 2007, and 2012 national health interview surveys. Evidence-Based Complementary and Alternative Medicine. 2014;2014 10.1155/2014/872320 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Kheir MM, Wang Y, Hua L, Hu J, Li L, Lei F, et al. Acute toxicity of berberine and its correlation with the blood concentration in mice. Food and Chemical Toxicology. 2010;48(4):1105–10. 10.1016/j.fct.2010.01.033 [DOI] [PubMed] [Google Scholar]
  • 28.Guo R, Pittler M, Ernst E. Herbal medicines for the treatment of COPD: a systematic review. European Respiratory Journal. 2006;28(2):330–8. 10.1183/09031936.06.00119905 [DOI] [PubMed] [Google Scholar]
  • 29.Samenuk D, Link MS, Homoud MK, Contreras R, Theohardes TC, Wang PJ, et al. , editors. Adverse cardiovascular events temporally associated with ma huang, an herbal source of ephedrine. Mayo Clinic Proceedings; 2002: Elsevier. [DOI] [PubMed] [Google Scholar]
  • 30.Stickel F, Seitz HK. The efficacy and safety of comfrey. Public Health Nutrition. 2000;3(4a):501–8. 10.1017/s1368980000000586 [DOI] [PubMed] [Google Scholar]
  • 31.Galati G, Lin A, Sultan AM, O’Brien PJ. Cellular and in vivo hepatotoxicity caused by green tea phenolic acids and catechins. Free Radical Biology and Medicine. 2006;40(4):570–80. 10.1016/j.freeradbiomed.2005.09.014 [DOI] [PubMed] [Google Scholar]
  • 32.Galati G, O’brien PJ. Potential toxicity of flavonoids and other dietary phenolics: significance for their chemopreventive and anticancer properties. Free Radical Biology and Medicine. 2004;37(3):287–303. 10.1016/j.freeradbiomed.2004.04.034 [DOI] [PubMed] [Google Scholar]
  • 33.Izzo AA, Ernst E. Interactions between herbal medicines and prescribed drugs. Drugs. 2001;61(15):2163–75. 10.2165/00003495-200161150-00002 [DOI] [PubMed] [Google Scholar]
  • 34.Fugh-Berman A. Herb-drug interactions. The Lancet. 2000;355(9198):134–8. [DOI] [PubMed] [Google Scholar]
  • 35.Izzo AA. Herb–drug interactions: an overview of the clinical evidence. Fundamental & clinical pharmacology. 2005;19(1):1–16. [DOI] [PubMed] [Google Scholar]
  • 36.Ioannides C. Pharmacokinetic interactions between herbal remedies and medicinal drugs. Xenobiotica. 2002;32(6):451–78. 10.1080/00498250210124147 [DOI] [PubMed] [Google Scholar]
  • 37.Chen W, FitzGerald JM, Rousseau R, Lynd LD, Tan WC, Sadatsafavi M. Complementary and alternative asthma treatments and their association with asthma control: a population-based study. BMJ open. 2013;3(9):e003360 10.1136/bmjopen-2013-003360 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Marino LA, Shen J. Characteristics of complementary and alternative medicine use among adults with current asthma, 2006. Journal of Asthma. 2010;47(5):521–5. 10.3109/02770900903576320 [DOI] [PubMed] [Google Scholar]
  • 39.Soriano JB, Visick GT, Muellerova H, Payvandi N, Hansell AL. Patterns of comorbidities in newly diagnosed COPD and asthma in primary care. Chest. 2005;128(4):2099–107. 10.1378/chest.128.4.2099 [DOI] [PubMed] [Google Scholar]
  • 40.Harrison RA, Holt D, Pattison DJ, Elton P. Are those in need taking dietary supplements? A survey of 21 923 adults. British Journal of Nutrition. 2004;91(4):617–23. 10.1079/BJN20031076 [DOI] [PubMed] [Google Scholar]
  • 41.Ni H, Simile C, Hardy AM. Utilization of complementary and alternative medicine by United States adults: results from the 1999 national health interview survey. Medical care. 2002;40(4):353–8. 10.1097/00005650-200204000-00011 [DOI] [PubMed] [Google Scholar]
  • 42.Shinto L, Yadav V, Morris C, Lapidus J, Senders A, Bourdette D. The perceived benefit and satisfaction from conventional and complementary and alternative medicine (CAM) in people with multiple sclerosis. Complementary therapies in medicine. 2005;13(4):264–72. 10.1016/j.ctim.2005.07.007 [DOI] [PubMed] [Google Scholar]
  • 43.Wei Z. Effects of injection Salviae miltiorrhizae on senile chronic asthmatic bronchitis patients. Zhongguo Zhong xi yi jie he za zhi Zhongguo Zhongxiyi jiehe zazhi = Chinese journal of integrated traditional and Western medicine. 1996;16(7):402–4. [PubMed] [Google Scholar]
  • 44.Zhao C, Shen Y, Meng H. Clinical and experimental study on Jinshui Liujun decoction in treating chronic bronchitis. Zhongguo Zhong xi yi jie he za zhi Zhongguo Zhongxiyi jiehe zazhi = Chinese journal of integrated traditional and Western medicine. 1997;17(5):264–6. [PubMed] [Google Scholar]
  • 45.Gross D, Shenkman Z, Bleiberg B, Dayan M, Gittelson M, Efrat R. Ginseng improves pulmonary functions and exercise capacity in patients with COPD. Monaldi archives for chest disease. 2002;57(5/6):242–6. [PubMed] [Google Scholar]
  • 46.Yohannes AM, Ershler WB. Anemia in COPD: a systematic review of the prevalence, quality of life, and mortality. Respiratory care. 2011;56(5):644–52. 10.4187/respcare.01002 [DOI] [PubMed] [Google Scholar]
  • 47.Silberberg JS, Rahal DP, Patton DR, Sniderman AD. Role of anemia in the pathogenesis of left ventricular hypertrophy in end-stage renal disease. The American journal of cardiology. 1989;64(3):222–4. 10.1016/0002-9149(89)90462-1 [DOI] [PubMed] [Google Scholar]
  • 48.Sharma R, Francis DP, Pitt B, Poole-Wilson PA, Coats AJ, Anker SD. Haemoglobin predicts survival in patients with chronic heart failure: a substudy of the ELITE II trial. European Heart Journal. 2004;25(12):1021–8. 10.1016/j.ehj.2004.04.023 [DOI] [PubMed] [Google Scholar]
  • 49.Boutou AK, Stanopoulos I, Pitsiou GG, Kontakiotis T, Kyriazis G, Sichletidis L, et al. Anemia of chronic disease in chronic obstructive pulmonary disease: a case-control study of cardiopulmonary exercise responses. Respiration. 2011;82(3):237–45. 10.1159/000326899 [DOI] [PubMed] [Google Scholar]
  • 50.Halpern MT, Zilberberg MD, Schmier JK, Lau EC, Shorr AF. Anemia, costs and mortality in chronic obstructive pulmonary disease. Cost Effectiveness and Resource Allocation. 2006;4(1):17 10.1186/1478-7547-4-17 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Li SG, Chen HY, Ou-Yang CS, Wang X-X, Yang Z-J, Tong Y, et al. The efficacy of Chinese herbal medicine as an adjunctive therapy for advanced non-small cell lung cancer: a systematic review and meta-analysis. PloS one. 2013;8(2). 10.1371/journal.pone.0057604 [DOI] [PMC free article] [PubMed] [Google Scholar]

Decision Letter 0

Muhammad Adrish

25 Aug 2020

PONE-D-20-22304

Trends and Factors of Botanical Dietary Supplement Use Among US Adults with COPD From 1999 to 2016

PLOS ONE

Dear Dr. Huo,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

I have received the comments of the reviewers on your manuscript. The specific comments of the reviewers are included below. Please provide point by point response in your revised manuscript.

Please submit your revised manuscript by due date. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.

  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.

  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: http://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols

We look forward to receiving your revised manuscript.

Kind regards,

Muhammad Adrish

Academic Editor

PLOS ONE

Journal Requirements:

When submitting your revision, we need you to address these additional requirements.

1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at

https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and

https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf

2. We noticed minor instances of text overlap with the following previous publication(s), which need to be addressed:

(1) https://www.sciencedirect.com/science/article/abs/pii/S2213219817307419?via%3Dihub

(2) https://acsjournals.onlinelibrary.wiley.com/doi/full/10.1002/cncr.31183

The text that needs to be addressed involves the Results section (lines 190-195)  and the Discussion section (lines 244-285).

In your revision please ensure you cite all your sources (including your own works), and quote or rephrase any duplicated text outside the methods section. Further consideration is dependent on these concerns being addressed.

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

**********

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

**********

3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

**********

4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

**********

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: The authors examine the use of supplements in COPD patients from NHANES data, over 18 years. They find a decreasing use over time and some demographic predictors of use.

Major comments:

It would be useful for the authors to note an example of the supplements being discussed

The authors have to be very careful in this cross sectional analysis to NOT imply causality ( i.e.- supplement users had fewer hospitalizations and and less anemia, but you can't say anything about directionality of this association)

SES factors were the strongest predictors of use ( and these are also strong predictors of health outcomes in the US) - thus- what was seen might still be a function of unmeasured SES confounders ( even in the multivariate analysis)

**********

6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: Yes: David Mannino

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

PLoS One. 2020 Sep 29;15(9):e0239674. doi: 10.1371/journal.pone.0239674.r002

Author response to Decision Letter 0


1 Sep 2020

EDITOR'S SPECIFIC COMMENTS:

1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at

https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and

https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf

Thanks. We have made changes based on PLOS ONE’s style.

2. We noticed minor instances of text overlap with the following previous publication(s), which need to be addressed:

(1) https://www.sciencedirect.com/science/article/abs/pii/S2213219817307419?via%3Dihub

(2) https://acsjournals.onlinelibrary.wiley.com/doi/full/10.1002/cncr.31183

The text that needs to be addressed involves the Results section (lines 190-195) and the Discussion section (lines 244-285).

In your revision please ensure you cite all your sources (including your own works), and quote or rephrase any duplicated text outside the methods section. Further consideration is dependent on these concerns being addressed.

Thanks. We have rewritten these two parts and cited qualified references.

COMMENTS FROM REVIEWER #1:

1. It would be useful for the authors to note an example of the supplements being discussed

Thanks for this comment. We discussed one specific herb use in COPD management in the third paragraph of discussion.

2. The authors have to be very careful in this cross sectional analysis to NOT imply causality ( i.e.- supplement users had fewer hospitalizations and less anemia, but you can't say anything about directionality of this association)

Thank you for this comment. We have tried our best to avoid such statements, and in limitation part, we have discussed such causality issues of cross-sectional study.

3. SES factors were the strongest predictors of use ( and these are also strong predictors of health outcomes in the US) - thus- what was seen might still be a function of unmeasured SES confounders ( even in the multivariate analysis)

Thank you for pointing out SES factors. Yes, you are right, SES factors may be the strongest predictors of BDS use. However, due to the limitations of NHANSE data, not all SES factors can be observed or controlled. We have discussed more about this issue in the discussion and limitation parts.

Attachment

Submitted filename: Response to Reviewers.docx

Decision Letter 1

Muhammad Adrish

11 Sep 2020

Trends and Factors of Botanical Dietary Supplement Use Among US Adults with COPD From 1999 to 2016

PONE-D-20-22304R1

Dear Dr. Huo,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org.

If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

Muhammad Adrish

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: All comments have been addressed

**********

2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: (No Response)

**********

7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: Yes: David Mannino

Acceptance letter

Muhammad Adrish

15 Sep 2020

PONE-D-20-22304R1

Trends and Factors of Botanical Dietary Supplement Use Among US Adults with COPD From 1999 to 2016

Dear Dr. Huo:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

If we can help with anything else, please email us at plosone@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Muhammad Adrish

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    Attachment

    Submitted filename: Response to Reviewers.docx

    Data Availability Statement

    All data files are available from the National Health and Nutrition Examination Survey database from CDC website. Link: https://wwwn.cdc.gov/nchs/nhanes/Default.aspx.


    Articles from PLoS ONE are provided here courtesy of PLOS

    RESOURCES