1. Introduction
It is estimated that periodontal disease affects more than 47% of adults over the age 30 in the United States but affects a significantly higher proportion of older adults over the age of 65, approximately 70% [
1]. Periodontitis (PD) As one type of periodontal disease, periodontitis (PD) is characterized by severe inflammation of the gums and if left untreated, can lead to tooth loss. Preventative measures in developing PD include regular oral care from a profession [
2,
3,
4]. While some individuals may be more genetically predisposed to develop PD, PD has the potential to affect any individual with poor dental hygiene [
5,
6]. The consequence of tooth loss or edentulism due to untreated PD has the potential to subsequently negatively impact an individual’s nutritional intake [
3,
7]. In addition, the loss of a tooth or teeth has also been shown to negatively impact self-esteem and overall quality of life of individuals [
8,
9]. Previous studies have observed racial disparity of PD in non-Hispanic White (NHW) and non-Hispanic Black (NHB) adults with an indication that PD is a risk factor for other chronic, and potentially more serious health conditions resulting in more than just edentulism [
10,
11,
12,
13]. Poor periodontal health is associated with an increased prevalence of other conditions such as: hypertension, diabetes, and stroke [
10,
11,
12].
While predisposing variables such as age, gender, and race/ethnicity impact observed disparity in PD, they cannot be modified. However, dietary intake of lycopene, a non-provitamin A carotenoid, is one potential preventative measure that can be modified to prevent the development of PD. Tomato products are the primary dietary source of lycopene in the U.S. but it can be found in other fruits or vegetables that have a red or pink hue such as apricots, grapes, guava, and papaya [
14,
15]. Extensive studies have established a significant correlation between lycopene as an adjunct to professional dental cleanings and PD [
16,
17,
18]. To date, there is limited research on how the intersections of race and gender affect dietary consumption of lycopene of minority older adults with severe PD. Understanding the prevalence of PD in NHB older adults and the impact that consumption of lycopene has on PD will inform future strategies for targeted interventions. Further research is needed to not only determine if consumption of lycopene through either nutritional sources or as a supplement is statistically significant in preventing PD and subsequently other conditions associated with PD, but also how dietary lycopene consumption of different groups are impacted in different ways.
2. Methods and Measurements
2.1. Methods
We combined and extracted three consecutive two-year survey cycle datasets (2009-2014) from the U.S. Centers for Disease Control NHANES dataset for this study. A total of 1227 adults aged between 65 and 79 years-old, with completed response to questions on lycopene intake and a recorded oral health record, were included. The lycopene consumption level from dietary intake was collected from a two-day dietary interview questionnaire on total nutrient intakes, based on recall responses from survey participants. A multistage, stratified, probability-cluster sampling method was used during the NHANES data collection, under the supervision of the National Center for Health Statistics of the CDC [
19]. An in-person, face-to-face interview was conducted for qualified participants at their homes by trained staff. The oral health examination was conducted in a mobile examination center (MEC). Individual demographic and health-related information was collected via examination. The survey protocol was revised and approved by the National Center for Health Statistics Research Ethics Review Board [
20]. A paper-based informed consent form was signed by every participant before the data collection process was initiated.
2.2. Measurements
The main exposure of interest for this work was lycopene intake. NHANES uses the five-step U.S. Department of Agriculture’s Automated Multiple Pass Method (AMPM) to collect dietary intakes, including lycopene. More details on AMPM are provided in the NHANES dietary interviewer procedure manuals. A clinical study has shown that lycopene is a promising treatment for patients with moderate periodontal disease [
16]. We defined sufficient lycopene intake from daily food as >= 8000 mcg [
21]. Anyone who consumed lycopene but < 8000 mcg was defined as lycopene intake insufficient. Three levels of periodontitis are defined as follows [
22]: severe was defined as having >= 2 interproximal sites with attachment loss (AL) >= 6 mm (not on the sample tooth) and >= 1 interproximal sites with probing depth (PD) >= 5 mm; non-severe periodontitis was defined as combination of moderate and mild cases such that: as >= 2 interproximal sites with AL >= 4 mm (not on the same tooth), or >= 2 interproximal sites with PD >= 5 mm or one site with PD >= 5 mm (moderate); or >= 2 interproximal sites with AL >= 3 mm and >= 2 interproximal sites with PD >= 4 mm (not the same tooth) or one site with >= 5 mm (mild); none was defined as meets neither the severe nor non-severe case definitions. Smoking status was categorized into never smoker, former smoker, and current smoker based on the following questions: “Have you smoked at least 100 cigarettes?” and “Do you now smoke cigarettes?”. Never smoker was defined as a respondent who reported that they smoked < 100 cigarettes in their lifetime; former smoker was defined as respondents who reported smoking >= 100 cigarettes in their lifetime and currently do no smoke cigarettes; current smoker was defined as respondents who reported smoking >= 100 cigarettes in their entire lifetime and were currently smoking every day or some days [
23]. The demographic information of included participants included age (65~69, 70~79), race/ethnicity (NHW, NHB), gender, and education (less than high school or more than high school). Individuals without diabetes are defined as diabetes free. Based on the martial status options, a participant who selected “married” or “living with a partner” was defined as living with a partner; a participant who selected "widowed”, “divorced”, “separated”, or “never married were defined as living alone [
24]. In addition, Body-Mass-Index (BMI) was classified as underweight/normal, overweight and obese, respectively [
25].
3. Results
A total of 1227 NHW and NHB older adults between the ages of 65 and 79 were included from NHANES 2009-2014.
Table 1 provides weighted percentage and raw sample sizes from demographics and lycopene intake by level of PD. For the overall study population, 22.1% of participants (n = 246) had sufficient lycopene intake; 77.9% of participants (n = 981) had insufficient lycopene intake. The self-reported daily lycopene intake of participants with severe, non-severe, and no level of PD is 3847 ± 360, 5452 ± 498, 5278 ± 338 (mcg), respectively (p = 0.006). The prevalence of all levels of periodontitis is 48.7%. NHB older adults have a higher prevalence of severe PD and overall PD in comparison to NHW older adults (12.2% vs 4.86% and 55.6% vs 47.86%, respectively; p = 0.0004). The mean age of people diagnosed with severe PD is 69.9 ± 0.4, compared to other groups (p = 0.17). Although NHB only takes 10.5% of the whole participants, around 12.2% of them have been diagnosed with severe PD, which is almost three-fold more than NHW (p = 0.0004). Older adults who take sufficient lycopene from daily dietary have less people diagnosis with severe PD (2.4% vs 6.5%, respectively, p = 0.04). The severe PD ratio is also high in current smokers (18.8%), in which is 4-fold more compared to never and ever smoker (4.6%, 4.1%, respectively, p = 0.0001). In addition, less old female adults have been found in severe PD, compared to older male adults (3.1% vs 8.3%, respectively, p = 0.001). Overall, lycopene intake, gender, smoking, and race are risk factors that significantly contribute to the level of PD in this study.
The computed results from weighted multinomial logistic regression models are given in
Table 2. After adjusting for covariables, participants with sufficient lycopene intake have 0.33 time odds (95% CI: 0.17-0.65, p = 0.002) associated with severe PD, compared to old adults who have insufficient lycopene intake. NHB has 2.82 times odds (95% CI: 1.46-5.45, p = 0.003) associated with severe PD in comparison to NHW. Female participants have 0.27-time odds of severe PD, compared to male participants (95% CI: 0.14-0.55, p = 0.0007). Further moderation analysis confirmed race as a moderator between dietary lycopene intake and severe PD (p < 0.0001).
Results of stratification analysis between NHW and NHB are given in
Table 3. For NHW, female participants have 0.26-time odds (95% CI: 0.12-0.56, p = 0.001) associated with severe PD compared to males. And NHW participants with sufficient lycopene intake has 0.13-time odds associated with severe PD (95% CI: 0.05-0.37, p < 0.0001), compared to the insufficient intake one. Such association between server PD and gender/lycopene intake did not observe in NHB.
Table 1.
Factors associated with different degrees of periodontitis in older adults aged 65 years and older (Weighted).
Table 1.
Factors associated with different degrees of periodontitis in older adults aged 65 years and older (Weighted).
Characteristics |
Overall |
PD Sev |
PD Non Sev |
Normal |
p-Value |
total, n (%) |
1227 |
98 (5.6) |
531 (43.1) |
598 (51.3) |
|
Mean lycopene Intake ± SEM (mcg) |
5273 (318) |
3847 (360) |
5452 (498) |
5278 (338) |
0.006 |
Mean age ± SEM (year) |
70.5 (0.1) |
69.9 (0.4) |
70.6 (0.2) |
70.5 (0.2) |
0.17 |
Lycopene Intake, n (%) |
|
|
|
|
0.04 |
Insufficient |
981 (77.9) |
81 (6.5) |
424 (42.6) |
476 (50.9) |
|
Sufficient |
246 (22.1) |
17 (2.4) |
107 (44.7) |
122 (52.9) |
|
Race, n (%) |
|
|
|
|
0.0004 |
Non-Hispanic White |
875 (89.5) |
51 (4.86) |
377 (43) |
447 (52.1) |
|
Non-Hispanic Black |
352 (10.5) |
47 (12.2) |
154 (43.4) |
151 (44.4) |
|
Education Level, n (%) |
|
|
|
|
0.14 |
< High School |
269 (16) |
25 (5.5) |
98 (35.6) |
146 (58.9) |
|
>= High School |
956 (84) |
73 (5.7) |
431 (44.3) |
452 (50.0) |
|
Smoking Status, n (%) |
|
|
|
|
0.0001 |
Never Smoker |
553 (47.1) |
41 (4.6) |
233 (43.8) |
279 (51.6) |
|
Ever Smoker |
542 (44.2) |
38 (4.1) |
253 (44.5) |
251 (51.3) |
|
Current Smoker |
120 (8.7) |
19 (18.8) |
42 (34.9) |
59 (46.3) |
|
Gender, n (%) |
|
|
|
|
0.001 |
Male |
624 (48.1) |
70 (8.3) |
288 (45.3) |
266 (46.3) |
|
Female |
603 (51.9) |
28 (3.1) |
243 (40.9) |
332 (56.0) |
|
Age, n (%) |
|
|
|
|
0.73 |
65-70 |
570 (52.9) |
51 (6.1) |
257 (43.9) |
262 (50.0) |
|
71-79 |
657 (47.1) |
47 (5.1) |
274 (42.1) |
336 (52.8) |
|
Living Condition, n (%) |
|
|
|
|
0.53 |
With Partner |
769 (69.4) |
57 (5.5) |
330 (42.2) |
382 (52.4) |
|
Alone |
458 (30.6) |
41 (6.0) |
201 (45.1) |
216 (48.9) |
|
Diabetes, n (%) |
|
|
|
|
0.89 |
Diabetes Positive |
288 (18.2) |
19 (6.9) |
129 (45.6) |
140 (47.5) |
|
Diabetes Negative |
886 (77.2) |
75 (5.1) |
380 (42.7) |
431 (52.2) |
|
BMI, n (%) |
|
|
|
|
0.79 |
Under/normal Weight |
340 (29.5) |
31 (4.6) |
144 (43.8) |
165 (48.8) |
|
Overweight |
457 (37.2) |
36 (4.8) |
200 (43.9) |
221 (51.2) |
|
Obese |
423 (33.3) |
31 (6.5) |
42 (40.0) |
59 (53.5) |
|
Table 2.
Factors associated with PD status at severe (Sev), non-severe (PD Non Sev) to non-PD.
Table 2.
Factors associated with PD status at severe (Sev), non-severe (PD Non Sev) to non-PD.
|
PD Sev |
PD Non Sev |
Characteristics |
Adjusted OR |
95% CI |
p-Value |
Adjusted OR |
95% CI |
p-Value |
Lycopene Intake |
|
|
0.002 |
|
|
0.9 |
Insufficient (Ref) |
1 |
|
|
1 |
|
|
Sufficient |
0.33 |
0.17-0.65 |
|
0.97 |
0.64-1.49 |
|
Race |
|
|
|
|
|
|
Non-Hispanic White (Ref) |
1 |
|
0.003 |
1 |
|
0.121 |
Non-Hispanic Black |
2.82 |
1.46-5.45 |
|
1.32 |
0.93-1.87 |
|
Smoking Status |
|
|
|
|
|
|
Never Smoker (Ref) |
1 |
|
|
1 |
|
|
Ever Smoker |
0.7 |
0.33-1.48 |
0.33 |
0.99 |
0.63-1.54 |
0.95 |
Current Smoker |
3.29 |
1.55-6.97 |
0.002 |
0.86 |
0.44-1.70 |
0.66 |
Education Level |
|
|
0.4 |
|
|
0.09 |
< High School (Ref) |
1 |
|
|
1 |
|
|
>= High School |
1.49 |
0.58-3.84 |
|
1.5 |
0.93-2.42 |
|
Gender |
|
|
0.0007 |
|
|
0.09 |
Male (Ref) |
1 |
|
|
1 |
|
|
Female |
0.27 |
0.14-0.55 |
|
0.73 |
0.50-1.06 |
|
Age |
|
|
|
|
|
|
65-70 (Ref) |
1 |
|
|
1 |
|
|
71-79 |
0.91 |
0.46-1.82 |
0.78 |
0.9 |
0.57-1.43 |
0.65 |
Table 3.
Factors associated with PD across different race groups.
Table 3.
Factors associated with PD across different race groups.
|
Non-Hispanic Black |
Characteristics |
PD Sev |
PD Non Sev |
|
Adjusted OR |
95% CI |
p-Value |
Adjusted OR |
95% CI |
p-Value |
Lycopene Intake |
|
|
0.15 |
|
|
0.41 |
Insufficient (Ref) |
1 |
|
|
1 |
|
|
Sufficient |
2 |
0.76-5.26 |
|
0.73 |
0.34-1.57 |
|
Gender |
|
|
0.13 |
|
|
0.87 |
Male (Ref) |
1 |
|
|
1 |
|
|
Female |
0.37 |
0.11-1.37 |
|
0.94 |
0.44-2.03 |
|
|
Non-Hispanic White |
Characteristics |
PD Sev |
PD Non Sev |
|
Adjusted OR |
95% CI |
p-Value |
Adjusted OR |
95% CI |
p-Value |
Lycopene Intake |
|
|
<0.0001 |
|
|
0.95 |
Insufficient (Ref) |
1 |
|
|
1 |
|
|
Sufficient |
0.13 |
0.05-0.37 |
|
1..01 |
0.69-1.54 |
|
Gender |
|
|
0.001 |
|
|
0.08 |
Male (Ref) |
1 |
|
|
1 |
|
|
Female |
0.26 |
0.12-0.56 |
|
0.72 |
0.51-1.03 |
|
4. Discussion
For the overall study population, the majority consumed an insufficient amount of dietary lycopene (77.9%). However, in addition to dietary lycopene consumption, other risk factors of severe PD were: race, gender and smoking status with NHB, men and current smokers being at higher risk of developing severe PD. The results of this analysis continue to add to the literature that there is variability between NHB and NHW older adults with regard to PD [
13]. NHB women had higher odds of severe PD in comparison to NHW and race was confirmed to be a moderator between lycopene intake and severe PD. Previous research has suggested several biological and social factors that may be contributing to this observed racial disparity. Genetic predisposition to PD, the inflammation and acid production of the body after the consumption of sugary foods that can potentially lead to gum disease. Aggressive forms of PD have been shown to have familial aggregation within the NHB community which suggests that these individuals may be genetically predisposed to develop PD [
37]. The results of this analysis continue to add to the literature that there is variability between NHB and NHW older adults with regard to PD [
13]. NHB women had higher odds of severe PD in comparison to NHW and race was confirmed to be a moderator between lycopene intake and severe PD. Previous research has suggested several biological and social factors that may be contributing to this observed racial disparity. Genetic predisposition to PD, the inflammation and acid production of the body after the consumption of sugary foods that can potentially lead to gum disease. Aggressive forms of PD have been shown to have familial aggregation within the NHB community which suggests that these individuals may be genetically predisposed to develop PD [
38].
However, the conclusion of this analysis indicates that another potential factor explaining the racial disparity in the development of PD is that there is an observed disparity in dietary lycopene intake. Lycopene intake is significantly higher in NHW, while prevalence of severe PD is lower [
39]. Another possible reason why NHB older adults had higher prevalence of PD may be due to how additional preventative measures of PD were determined for the purpose of this analysis. Previous studies recognize racial differences in oral health status, but few emphasize the disparity of PD in older adults and analyze modifiable risk factors that focus on nutrition instead of preventative dental care or non-modifiable factors [
40,
41,
42].
The present study also investigated whether gender impacted the prevalence of PD. The likelihood of having PD was significantly lower for older females than males. Females were found to be approximately half as likely to develop severe PD non-severe PD than males (Odds Ratio = 0.27 and 0.73). Men have been found to be less likely to seek preventative dental care, use tobacco products at a higher rate, and hormone differences [
43]. Additionally, race mediated the impact of dietary lycopene intake and PD. Higher levels of lycopene consumption were associated with a lower likelihood of PD in older adults. However, this study has determined that sufficient lycopene intake is associated with a higher odds ratio of severe PD. Potential reasons for this discovery could potentially be the known irreversibility of PD. Once PD is diagnosed, individuals can work to prevent the increased severity of the disease that may lead to eventual tooth loss but they cannot reverse the current progress of PD. Subsequently, individuals who have been informed that they have mild PD and are at risk for developing severe PD, may act to reduce their risk of developing a more severe form of the disease.
A comprehensive review of the literature conducted by Leite (2018) concludes what many studies have indicated, that smoking has a detrimental effect on PD and the progression of PD [
44]. The disparity in prevalence of smoking amongst different race/ethnicity groups in the US is well documented [
45,
46]. However, dietary lycopene intake has been shown to be a protective agent against the effects of tobacco promoted changes such as the development of non-alcoholic steatohepatitis in animal models [
47]. Subsequently, although the prevalence of smoking in this study population is 8.7%, dietary lycopene intake is a potential factor in the reason why there remains an observed racial and gender disparity in observed severe PD.
There are several limitations to this analysis. First, although PD is easily preventable with regular professional oral care, and dental insurance has the ability to alleviate some of the costs associated with preventative treatment, the NHANES dataset does not record the status of dental insurance [
48,
49]. Health insurance status, which is recorded by NHANES, cannot be used as a stand in for dental insurance because preventative dental insurance is not necessarily included in general health insurance. Although all individuals included in this analysis are over the age of 65 and therefore eligible for Medicare coverage, Medicare does not cover dental services in most cases, services such as routine dental cleanings [
50]. Older adults also have the opportunity to choose Marketplace coverage via the Affordable Care Act (ACA) instead of Medicare if they have to pay a Part A premium. However, the ACA treats dental coverage differently based on the age of the enrolled individual, where dental coverage is an essential benefit for individuals under the age of 18 and must be available, it is not an essential benefit for older adults and health plans on the Marketplace are not required to offer older adults dental coverage [
51]. This is one of the challenges encountered when conducting a secondary data analysis with the NHANES dataset, one of the best preventative measures, preventative oral care, is unable to be considered in this study because the data was not collected. Although previous studies have shown that preventative dental treatments have lowered the risk of developing PD, this factor was not included in this study. There are numerous external factors that other studies have linked to the prevention of PD that were not considered for the models of analysis in this study that may have an additional impact in not only the prevalence of PD, but also an individual’s consumption of dietary lycopene.
Although lycopene intake was only calculated as total dietary intake and the source of lycopene was not taken into account the conclusion of this study is that there is a relationship between prevalence of severe PD and lycopene intake, which potentially contributes to the observe racial/ethnic and gender disparity between NHW and NHB older adults and PD. However, this analysis cannot make the determination if there is a difference between lycopene consumption and PD from food sources versus a combination of lycopene consumption from food and supplements. The distinction between intake of lycopene from a food source in contrast to lycopene from a supplement, may have an impact on PD due to the fact that previous studies have demonstrated that antioxidant treatment with lycopene could potentially be beneficial as an adjunctive treatment periodontal disease [
52]. Nevertheless, certain foods that contain lycopene may actually impact inflammation and acid production in the oral cavity which may have an impact on the prevalence of gum disease due to either increased levels of lycopene in the blood or due to increased levels of lycopene in the oral cavity. While this study concludes that there is a correlation between dietary intake of lycopene and severe PD in older adults, the vehicle in which lycopene impacts PD in this analysis is not determined.
5. Conclusions
The objective of this study is to explore the association between insufficient lycopene intake and the risk of PD in older adults. Overall, insufficient lycopene intake was found to be a risk factor associated with the development of PD. Although this study was not able to distinguish between the different sources of dietary lycopene, the conclusions of this analysis determined that dietary intake of lycopene is a predictor of severe PD for NHW individuals between the ages of 65 and 79 years old. Subsequently, although dietary lycopene intake was found to be associated with levels of PD in this analysis, the racial differences indicate that while Future targeted interventions using lycopene in dietary intake as a preventative measure to delay or prevent the onset of periodontal disease needs to be race and gender specific.
Author Contributions
Contributed equally to this study, K.K. and Y.L.; the original literature review and to the conception and design of this study, K.K.; conception, design, and database organization of the study, Y.L.; performed the statistical analysis in R, Y.L. and ZH.L.; performed the statistical analysis in Python, ZY.H.; cross-validated this study, K.K. and T.L.; supervised this study, T.S.T. and N.Z.; All authors contributed to manuscript writing.
Funding
This research was funded by the Susan Eckert Lynch’62 Faculty Research Fund at Connecticut College. N.Z. and ZY.H have been supported by National Natural Science Foundation of China under Grant No.62066048 and No.62366057.
Institutional Review Board Statement
The study used publicly available datasets that meet the federal regulation at 46 CFR 46.102.
Informed Consent Statement
Not applicable.
Data Availability Statement
Acknowledgments
We thank all the participants' time and contribution to research.
Conflicts of Interest
The authors declare no conflicts of interest.
References
- Clinic, C. Periodontitis (gum disease): Symptoms, stages & treatment. Cleveland Clinic. Cleveland Clinic. 4 October 2022.
- Tonetti, M.S.; Van Dyke, T.E.; working group 1 of the joint EFP/AAP workshop*. Periodontitis and atherosclerotic cardiovascular disease: consensus report of the Joint EFP/AAPWorkshop on Periodontitis and Systemic Diseases. Journal of Periodontology 2013, 84, S24–S29. [Google Scholar] [CrossRef] [PubMed]
- Kwon, T.; Lamster, I.B.; Levin, L. Current concepts in the management of periodontitis. International Dental Journal 2021, 71, 462–476. [Google Scholar] [CrossRef] [PubMed]
- National Institute of Dental and Craniofacial Research. (https://www.nidcr.nih.gov/health-info).
- Tettamanti, L.; et al. Genetic susceptibility and periodontal disease: A retrospective study on a large italian sample. ORAL & Implantology 2017, 10, 20. [Google Scholar]
- Loos, B.G.; Van Dyke, T.E. The role of inflammation and genetics in periodontal disease. Periodontology 2000 2020, 83, 26–39. [Google Scholar] [CrossRef] [PubMed]
- Zhang, Y.; Leveille, S.G.; Shi, L. Multiple Chronic Diseases Associated with Tooth Loss among the US Adult Population. Frontiers in Big Data 2022, 5, 932618. [Google Scholar] [CrossRef] [PubMed]
- Muhammad, T.; Srivastava, S. Tooth loss and associated self-rated health and psychological and subjective wellbeing among community-dwelling older adults: A cross-sectional study in India. BMC Public Health 2022, 22, 7. [Google Scholar] [CrossRef]
- Kaur, S.; et al. Evaluation of anti-inflammatory effects of systemically administered curcumin, lycopene and piperine as an adjunct to scaling and root planing: A clinical study. Ayu 2017, 38, 117. [Google Scholar] [CrossRef] [PubMed]
- Fagundes, N.C.F.; et al. Periodontitis as a risk factor for stroke: a systematic review and meta-analysis. Vascular Health and Risk Management 2019, 519–532. [Google Scholar] [CrossRef]
- Minty, M.; et al. Oral microbiota-induced periodontitis: a new risk factor of metabolic diseases. Reviews in Endocrine and Metabolic Disorders 2019, 20, 449–459. [Google Scholar] [CrossRef]
- Del Pinto, R.; et al. Periodontitis and hypertension: is the association causal? High Blood Pressure & Cardiovascular Prevention 2020, 27, 281–289. [Google Scholar]
- Gillone, A.; et al. Racial and ethnic disparities in periodontal health among adults seeking dental care in rural North Carolina Communities: a retrospective study. Journal of Periodontology 2023, 94, 364–375. [Google Scholar] [CrossRef]
- Gupta, S.; et al. Role of lycopene in preventing oral diseases as a nonsurgical aid of treatment. International Journal of Preventive Medicine 2015, 6. [Google Scholar] [CrossRef] [PubMed]
- Story, E.N.; et al. An update on the health effects of tomato lycopene. Annual Review of Food Science and Technology 2010, 1, 189–210. [Google Scholar] [CrossRef] [PubMed]
- Belludi, S.A.; et al. Effect of lycopene in the treatment of periodontal disease: A clinical study. The Journal of Contemporary Dental Practice 2014, 14, 1054–1059. [Google Scholar] [CrossRef] [PubMed]
- Viswa Chandra, R.; et al. Efficacy of lycopene as a locally delivered gel in the treatment of chronic periodontitis: smokers vs nonsmokers. Quintessence International 2012, 43. [Google Scholar]
- Reddy, P.V.N.; Ambati, M.; Koduganti, R. Systemic lycopene as an adjunct to scaling and root planing in chronic periodontitis patients with type 2 diabetes mellitus. Journal of International Society of Preventive & Community Dentistry 2015, 5 (Suppl. 1), S25. [Google Scholar]
- Prevention CfDCa. National Health and Nutrition Examination Survey.
- Prevention CfDCa. National Health and Nutrition Examination Survey. NCHS Researc hEthhics Review BOard (ERB) Approval.
- Giovannucci, E.; et al. A prospective study of tomato products, lycopene, and prostate cancer risk. Journal of the National Cancer Institute 2002, 94, 391–398. [Google Scholar] [CrossRef] [PubMed]
- Eke, P.I.; Borgnakke, W.S.; Genco, R.J. Recent epidemiologic trends in periodontitis in the USA. Periodontology 2000, 82, 257–267. [Google Scholar] [CrossRef]
- McClave, A.K.; et al. Associations between health-related quality of life and smoking status among a large sample of US adults. Preventive Medicine 2009, 48, 173–179. [Google Scholar] [CrossRef]
- Sanderson, M.; et al. A multilevel analysis of socioeconomic status and prostate cancer risk. Annals of Epidemiology 2006, 16, 901–907. [Google Scholar] [CrossRef]
- De Giorgi, U.; et al. Association of systemic inflammation index and body mass index with survival in patients with renal cell cancer treated with nivolumab. Clinical Cancer Research 2019, 25, 3839–3846. [Google Scholar] [CrossRef]
- Lumley, T. Analysis of complex survey samples. Journal of Statistical Software 2004, 9, 1–19. [Google Scholar] [CrossRef]
- Mei, Z.; et al. Prognostic role of pretreatment blood neutrophil-to-lymphocyte ratio in advanced cancer survivors: a systematic review and meta-analysis of 66 cohort studies. Cancer Treatment Reviews 2017, 58, 1–13. [Google Scholar] [CrossRef]
- Feliciano, E.M.C.; et al. Association of systemic inflammation and sarcopenia with survival in nonmetastatic colorectal cancer: results from the C SCANS study. JAMA Oncology 2017, 3, e172319–e172319. [Google Scholar] [CrossRef] [PubMed]
- Tulgar, Y.; et al. The effect of smoking on neutrophil/lymphocyte and platelet/lymphocyte ratio and platelet indices: a retrospective study. European Review for Medical & Pharmacological Sciences 2016, 20. [Google Scholar]
- Fest, J.; et al. Reference values for white blood-cell-based inflammatory markers in the Rotterdam Study: a population-based prospective cohort study. Scientific Reports 2018, 8, 10566. [Google Scholar] [CrossRef]
- Kawahara, T.; et al. Neutrophil-to-lymphocyte ratio is a prognostic marker in bladder cancer patients after radical cystectomy. BMC Cancer 2016, 16, 1–8. [Google Scholar] [CrossRef] [PubMed]
- Xue, T.-C.; et al. Prognostic significance of the neutrophil-to-lymphocyte ratio in primary liver cancer: a meta-analysis. PloS One 2014, 9, e96072. [Google Scholar] [CrossRef]
- Franz, L.; et al. Prognostic impact of neutrophils-to-lymphocytes ratio (NLR), PD-L1 expression, and tumor immune microenvironment in laryngeal cancer. Annals of Diagnostic Pathology 2021, 50, 151657. [Google Scholar] [CrossRef]
- Han, F.; et al. Diagnosis and survival values of neutrophil-lymphocyte ratio (NLR) and red blood cell distribution width (RDW) in esophageal cancer. Clinica Chimica Acta 2019, 488, 150–158. [Google Scholar] [CrossRef]
- Centers for Disease Control and Prevention. Specifying weighting parameters. Available online: http://www.cdc.gov/nchs/nhanes.htm (accessed on 20 December 2021).
- Diallo, M.S. samplics: a Python Package for selecting, weighting and analyzing data from complex sampling designs. Journal of Open Source Software 2021, 6, 3376. [Google Scholar] [CrossRef]
- Borrell, L.N.; et al. Periodontitis in the United States: beyond black and white. Journal of public health dentistry 2002, 62, 92–101. [Google Scholar] [CrossRef] [PubMed]
- Yoshida, A.; et al. Etiology of aggressive periodontitis in individuals of African descent. Japanese Dental Science Review 2021, 57, 20–26. [Google Scholar] [CrossRef]
- Arab, L.; et al. Racial differences in correlations between reported dietary intakes of carotenoids and their concentration biomarkers. The American Journal of Clinical Nutrition 2011, 93, 1102–1108. [Google Scholar] [CrossRef] [PubMed]
- Eke, P.I.; et al. Periodontitis prevalence in adults≥ 65 years of age, in the USA. Periodontology 2000 2016, 72, 76–95. [Google Scholar] [CrossRef]
- Assessment of the literature. BMC Oral Health 2008, 8, 1–13.
- Han, C. Oral health disparities: racial, language and nativity effects. SSM-Population Health 2019, 8, 100436. [Google Scholar] [CrossRef]
- Lipsky, M.S.; et al. Men and oral health: a review of sex and gender differences. American Journal of Men's Health 2021, 15, 15579883211016361. [Google Scholar] [CrossRef]
- Leite, F.R.; et al. Effect of smoking on periodontitis: a systematic review and meta-regression. American Journal of Preventive Medicine 2018, 54, 831–841. [Google Scholar] [CrossRef]
- Arrazola, R.A.; et al. Peer Reviewed: US Cigarette Smoking Disparities by Race and Ethnicity—Keep Going and Going! Preventing Chronic Disease 2023, 20. [Google Scholar]
- Nguyen-Grozavu, F.T.; et al. Widening disparities in cigarette smoking by race/ethnicity across education level in the United States. Preventive Medicine 2020, 139, 106220. [Google Scholar] [CrossRef] [PubMed]
- Rakic, J.M.; et al. Dietary lycopene attenuates cigarette smoke-promoted nonalcoholic steatohepatitis by preventing suppression of antioxidant enzymes in ferrets. The Journal of Nutritional Biochemistry 2021, 91, 108596. [Google Scholar]
- Duffy, E.L.; et al. Association between type of health insurance and children's oral health, NHANES 2011–2014. Journal of Public Health Dentistry 2018, 78, 337–345. [Google Scholar] [CrossRef] [PubMed]
- Lewis, C.; et al. Dental insurance and its impact on preventive dental care visits for US children. The Journal of the American Dental Association 2007, 138, 369–380. [Google Scholar] [CrossRef]
- Medicare.gov. Dental Services. (https://www.medicare.gov/coverage/dental-services#:~:text=In%20most%20cases%2C%20Medicare%20doesn,extractions%2C%20or%20items%20like%20dentures).
- Health benefits & coverage. (https://www.healthcare.gov/coverage/dental-coverage).
- Lopez-Valverde, N.; et al. Systematic review and meta-analysis of the antioxidant capacity of lycopene in the treatment of periodontal disease. Frontiers in Bioengineering and Biotechnology 2024, 11, 1309851. [Google Scholar] [CrossRef]
|
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).