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Frequent toothbrushing boosts resilience among children in poverty: results from a population-based longitudinal study

Abstract

Background

Poverty negatively impacts beneficial aspects of mental development, such as resilience. Toothbrushing, an oral health behavior, has the potential to protect children’s resilience through its anti-inflammatory and self-management effects and may be more effective for children, especially children in poverty. This study investigated whether toothbrushing boosts resilience among children, especially children under poverty, and modifies the association between poverty and resilience using a longitudinal population sample of school children.

Methods

Data from the Adachi Child Health Impact of Living Difficulty (A-CHILD Study) were analyzed. A baseline study was conducted in 2015 in which the children were in first grade and followed through fourth grade (N = 3459, response rate: 80%, follow-up rate: 82%). Poverty was assessed by material deprivation (life-related deprivation and child-related deprivation) and annual household income at baseline. Children’s toothbrushing frequency was assessed at baseline and classified into less than twice a day or twice or more a day. Children’s resilience was assessed at baseline and follow-up using the Children’s Resilient Coping Scale (range 0-100).

Results

Children who brushed their teeth twice or more a day in first grade had 3.50 points greater resilience scores in fourth grade than those who brushed their teeth less than twice a day in first grade. After adjusting for confounders, including resilience in first grade, among underpoverty children, those who brushed their teeth twice or more a day in first grade had higher resilience scores [2.66 (95% CI = 0.53, 4.79)] than those who brushed their teeth less than twice a day. Among nonpoverished children, toothbrushing frequency in first grade did not significantly correlate with resilience in fourth grade.

Conclusions

The beneficial effect of toothbrushing twice or more a day on resilience was more significant among children in poverty than among those without poverty in elementary school in Japan. Health policy focused on frequent toothbrushing may contribute to boosting resilience among children living in poverty.

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Introduction

According to global epidemiological data, the prevalence of mental health disorders in children and adolescents is approximately 20% worldwide [1]. The long-term negative consequences of child mental health problems, such as low income or prematurity, have been reported [2, 3]. Therefore, it is essential to address the mental health of children. Previous studies have focused on the treatment of negative aspects of mental health, such as depression or anxiety [4]. However, few studies have focused on promoting positive aspects of mental health, such as resilience. Resilience refers to the capacity to rebound from adversity, misfortune, trauma, or other transitional crises and to achieve successful adaptation [5, 6]. Children with higher resilience are less likely to suffer from mental health problems such as depression and anxiety later in life [7, 8].

One of the most critical determinants of resilience is childhood poverty [9]. Given that poverty is a barrier to developing resilience, other modifiable factors need to be elucidated, as poverty per se is difficult to modify. The modifiable factor needs to be an achievable lifestyle because changing a lifestyle does not cost and can be implemented at home. Moreover, it should be easy to understand as parents of childhood poverty may have limited educational attainment.

Oral health behaviors, such as toothbrushing, may be a lifestyle factor to protect children’s resilience. Toothbrushing twice a day is widely recommended to prevent dental problems [10, 11]. A recent epidemiological study showed that toothbrushing less than twice a day is associated with school refusal (refusing or reluctance to attend school or problems staying in school, often causing prolonged absence) in elementary school children [12]. Additionally, routinely brushing their teeth as a healthy lifestyle is beneficial or even crucial to developing children’s health practices and self-regulatory capacities [13].

Considering that childhood poverty poses a risk to impaired mental health development [9], which can be partially explained by inflammation [14], the effects of toothbrushing may differ for children in poverty and nonpoverty states. Thus, this study aimed to investigate whether toothbrushing frequency boosts resilience among children, especially children under poverty and modifies the association between poverty and resilience using a longitudinal population sample of school children in Japan.

Method

Study participants

This study used data from the Adachi Child Health Impact of Living Difficulty (A-CHILD) Study, which began in 2015 for first-grade students attending all public elementary schools in Adachi City, Tokyo, Japan. Figure 1 shows the flow-chart of the participants included in this study. In 2015, a questionnaire was distributed to caregivers of all first graders in the city (N = 5355), and 4291 of them answered the questionnaire [response rate: 80.1%, the average age: 6.65 years (SD: 0.48)]. The questionnaire used for this study has previously been published elsewhere [12, 15,16,17,18]. We used the question items of child poverty, toothbrushing frequency, child resilience, and other covariates. In previous studies, the questionnaire on child poverty is used to elucidate the association of child poverty and low self-esteem and to examine the effects of multiple dimensions of child poverty on child behavioral problems [16, 18]. The questionnaire on toothbrushing frequency is used to examine the association of school refusal among elementary school children [12]. The questionnaire on child resilience is used to examine the impact of leaving children at home on their mental health and to examine the associations of home cooking with parent-child interaction and child mental health [15, 17]. The children were followed up until fourth grade in 2018 (N = 3518, follow-up rate: 82.0%). After excluding 59 participants with missing information on variables related to child poverty, toothbrushing frequency, and child resilience (in first and fourth grades), the data of 3459 children were used for this analysis [the average age: 9.59 years (SD: 0.49)]. This study was approved by the ethics committees of Tokyo Medical and Dental University (M2016-284) and the National Center for Child Health and Development, Tokyo. All caregivers (parents or legal guardians) provided written informed consent to participate in the study. We followed the STROBE guidelines.

Fig. 1
figure 1

Flow-chart of study participants

Child poverty

In a baseline survey of children in first grade, we assessed three aspects of child poverty: household income, material deprivation, and experience of payment difficulties [19, 20]. The caregivers were asked about their annual household income for the last year. They were also asked about material deprivation and experience of payment difficulty to consider child poverty from the aspect of the entire family environment, not just household economic hardship. Material deprivation was assessed by whether the participants lacked the following materials for financial reasons: books appropriate for their child’s age, sports items/toys/stuffed toys for children, a place where children can study, a washing machine, a rice cooker, a vacuum cleaner, heater/heating appliances, an air conditioner, a microwave, a phone (including both landlines and mobiles), a bathtub per household, a bed/mattress per person, or > 50,000 yen in savings for emergencies. Experience of payment difficulty was assessed by whether they were unable to pay the following items over the last year: school field trips/extracurricular activities, school textbooks, school lunches, rent, housing loans, electricity bills, gas bills, water bills, phone bills (including both landlines and mobiles), insurance fees for public pension/national health insurance/public nursing care, or bus/train fees for commuting. We defined child poverty as they apply to any one of the following three categories: (1) annual household income below 3 million JPY, (2) one or more material deprivations, and (3) at least one experience of payment difficulty. This definition is based on the deprivation theory about relative poverty [21].

Toothbrushing frequency

Caregivers of first-year students responded to the question of how many times a day their children brushed their teeth with the following options: “more than once a day,” “once a day,” and “not every day.” This was then categorized into a binary variable of “twice or more a day” or “less than twice a day” [12].

Child resilience

Child resilience was assessed by the Children’s Resilient Coping Scale (CRCS), which was developed to adapt to the Japanese context [15]. It has high internal consistency (Cronbach’s alpha = 0.80) and sufficient validity [15]. The specific questions asked to the caregivers about their children last month were as follows: (1) to express positive aspects of their future, (2) to try to do their best, (3) to cope well with teasing or mean comments, (4) to greet others properly, (5) to prepare for school, do homework, and help at home on their own without directions, (6) to seek help appropriately when needed, (7) to give up things they want or do things they do not want to do for better results in the future, and (8) to ask questions to learn about what they do not understand. Parents responded to these questions on a 5-point scale from 0 (never) to 4 (very frequently). For the analysis, the total score ranged from 0 to 100. Higher scores indicate a higher level of resilience. The Cronbach’s alpha in our study sample was 0.74.

Covariates

The following covariates were assessed by baseline questionnaire to the caregivers: child’s sex, number of parents living at home (two, one, none), number of grandparents living at home (none, one, two or more), number of children in the household (one, two, three, four or more), maternal age (< 30, 31–34, 35–39, 40–44, ≥ 45 years old), maternal education (less than high school, junior college or technical school, university or more, others), maternal employment (full/part-time or not working), and caregiver mental health. The caregiver’s mental health was assessed by the Japanese version of Kessler 6 (K6) [22] and categorized into two groups based on their scores (5 or more, less than 5) [23]. The higher the score is, the more likely it is that there is a problem with their psychological state.

Statistical analysis

First, we examined the differences in demographic characteristics between children living in poverty and nonpoverished children using Pearson’s chi-square test. Next, the interaction effect of toothbrushing frequency and child poverty on resilience was analyzed using multiple regression analysis. Then, because we found an interaction effect between toothbrushing frequency and child poverty, we analyzed the impact of toothbrushing frequency on resilience with stratification by child poverty. Model 1 is a crude model. Model 2 was adjusted for potential confounders (sex, number of parents living at home, number of grandparents living at home, number of children in the household, maternal age, maternal education, maternal employment, and maternal mental condition). Model 3 was additionally adjusted for children’s resilience at baseline. All analyses were conducted using STATA version 17.

Results

Table 1 shows the demographic characteristics of the participants at baseline. The percentage of children in poverty in first grade was 23.0%. Among all participants, 1749 (50.6%) were boys, 281 (8.1%) lived in a single-parent family, and 700 (20.2%) had no siblings. Children in poverty tended to brush their teeth less than twice a day, lived in a single-parent family, lived with one or more grandparents, and had many siblings in the household. Their mothers tended to be younger, have less education, be full/part-time working, and have some problems with mental health.

Table 1 Child poverty by demographic characteristics of participants at baseline (N = 3459)

Table 2 shows the associations between Children’s Resilience of Coping Scale (CRCS) in fourth grade and child poverty in first grade, including toothbrushing frequency interaction terms in first grade. After adjustment for confounders, the resilience score of fourth-grade children in poverty in first grade decreased by -1.53 (95% CI: -2.91 – -0.15) points compared to that of nonpoverty children. The resilience of children who brushed their teeth twice or more a day in first grade was 3.50 (95% CI: 2.23–4.77) points greater than that of those who brushed their teeth less than twice a day in fourth grade (Model 1). The interaction effect between child poverty and toothbrushing frequency was significant (p value = 0.008) (Model 2).

Table 2 Association of Children’s resilient of coping scale (CRCS) with child poverty in Japan, including toothbrushing frequency interaction terms (N = 3459)

Table 3 shows the association of the Children’s Resilience of Coping Scale in fourth grade with child poverty in first grade by toothbrushing frequency in first grade among children in Japan. The mean resilience score in fourth grade was 68.0 for children in poverty who brushed their teeth twice or more a day, which was greater than the 67.6 for nonpoverty children who brushed their teeth less than twice a day (Table 3; Fig. 2). The effect of toothbrushing on resilience was stronger for children living in poverty than for those living in nonpoverty. After adjusting for potential confounders, among nonpoverished children, children who brushed their teeth twice or more a day in first grade had 2.42 (95% CI: 0.95–3.88) points greater resilience scores in fourth grade than those who brushed their teeth less than once a day (Model 2). Among children in poverty, children who brushed their teeth twice or more a day in first grade had 6.39 (95% CI: 3.81–8.98) points higher resilience scores in fourth grade than those who brushed their teeth less than twice a day. After further adjustment for the CRCS score at baseline, among children living in poverty, children who brushed their teeth twice or more a day had 2.66 (95% CI: 0.53–4.79) higher resilience scores than children who brushed their teeth less than twice a day (Model 3). On the other hand, among nonpoverty children, toothbrushing frequency in first grade did not significantly correlate with children’s resilience in fourth grade.

Table 3 Association of Children’s resilient of coping scale (CRCS) with child poverty by toothbrushing frequency among children in Japan (N = 3459)
Fig. 2
figure 2

The mean of Children’s Resilient of Coping Scale (CRCS) by child poverty and toothbrushing frequency

Discussion

We found that children who brushed their teeth twice or more daily in first grade had higher resilience scores in fourth grade than children who brushed their teeth once or less in first grade. Additionally, there was a significant interaction effect of child poverty and toothbrushing frequency; that is, the effect of toothbrushing on resilience was greater among underpoverty children.

To our knowledge, the current study is the first to find a positive association between toothbrushing frequency and resilience. This finding is in line with a longitudinal study of A-CHILD data showing an association between toothbrushing frequency in first grade and school refusal in second grade [12]. Other studies have also shown consistent findings on resilience and oral health behaviors; for example, several studies of teenagers have shown that higher toothbrushing frequency is associated with higher self-esteem [24], and toothbrushing less than twice a day is associated with poor mental health, evaluated by a lack of close friends, loneliness, anxiety, suicidal ideation and suicide attempts [25]. Furthermore, although in the opposite direction, a cross-sectional study of first-year medical students in Romania reported that students with higher resilience scores were more likely to floss their teeth, use mouth rinses, and visit dental clinics for check-ups or cleaning, even though they were less likely to brush their teeth. [26] As these studies were conducted in a cross-sectional design, directionality remained uncertain. We add to the literature that children who frequently brush their teeth exhibit increased resilience regardless of their baseline resilience status.

The association between toothbrushing and resilience can be explained by two possible reasons, which can be inferred from the findings that the benefits of toothbrushing frequency on resilience were pronounced among poor children. First, toothbrushing reduces inflammation and stress, which is more common among children with a low income due to various stresses, such as material hardship, family instability, and harsh parenting [27,28,29,30]. Good oral hygiene through toothbrushing can maintain the oral immune system and prevent oral inflammation, such as gingivitis and periodontal disease [11, 31]. Furthermore, oral inflammation causes systemic inflammation when periodontal pathogens, endotoxins, and proinflammatory cytokines invade the blood circulation. [32, 33]. Inflammatory conditions are negatively associated with resilience; PTSD patients or those who were exposed to adverse childhood experience (ACE) had higher levels of an inflammatory biomarker (IL-6) and lower levels of an anti-inflammatory biomarker (IL-10), while the resilient group had decreased IL-6 levels and increased IL-10 levels [34,35,36]. Resilience was also associated with immune function; individuals with greater resilience were less likely to perceive reduced immune functioning (such as sore throat, flu, cold sores, ear infection, and sudden high fever) [37, 38]. Therefore, toothbrushing may contribute to resilience in poor children through its anti-inflammatory effects and ability to maintain the immune system.

Second, toothbrushing per se develops self-regulation skills [39]. The stronger association between toothbrushing and resilience can be explained by the effect of toothbrushing on developing self-regulation, which is more significant due to the insufficient opportunity for children to develop self-regulation skills due to the shorter parenting time among those in poverty [40,41,42,43]. For children in early elementary school, brushing their teeth is one of their most minor favorite tasks [44]. Since toothbrushing is a part of every meal every day, it is possible that children develop self-regulation and perseverance by continuing to brush their teeth daily, even if they dislike it. Therefore, children, especially those in poverty, may benefit from toothbrushing to develop resilience.

Our findings also indicate toothbrushing as a factor modifying the effect of poverty on resilience. Evidence of factors that promote the resilience of children in poverty, with a focus on healthy behaviors other than toothbrushing, has been reported. A study of children (7–17 years old) from low-income families in Oakland, California, revealed that visiting parks for nature exposure improved children’s self-reported resilience [45]. In addition, a study conducted with children in Washington State reported that sleep sufficiency partially mediated the association between poverty and mental health [9]. Compared to these factors, toothbrushing behavior is more accessible to practice and less influenced by home and school environment factors because the proximal cause of children’s toothbrushing frequency is their intentions. [46, 47].

Several limitations in this study should be noted. First, we relied on caregivers’ reports for the variables of children’s toothbrushing frequency and resilience, which may have caused common method and social desirability biases. Future studies are needed to assess toothbrushing frequency through objective measurements, such as sensors attached to the lower end of participants’ toothbrush grips [48], diary records, and resilience through questionnaires to schoolteachers or children themselves. Second, the baseline response rate was 80%, and the follow-up rate was 82% in this study, which is not low but may have led to sampling and selection bias. Subjects who did not participate in the baseline survey might be more likely to be in poverty, brush their teeth less frequently, and have lower resilience. In addition, we excluded subjects with missing values for poverty, toothbrushing frequency, and resilience variables from this analysis. Comparing the baseline and analytical samples, the analytical samples had a greater percentage of children who were not poor, brushed their teeth more than twice a day, and had higher resilience scores in fourth grade. (Appendix Tabel 1) Therefore, the findings may be underestimated. Third, since the participants of this study were children attending public elementary schools in Adachi city, Tokyo, an urban area in Japan, the results may differ for children in other regions or of other ages. Toothbrushing frequency varies by region of residence and tends to be greater in urban areas than in rural areas [49]. There may be regional differences in children’s resilience because resilience is also enhanced by communities [50]. Further intervention studies are needed to examine the causal association between toothbrushing frequency and resilience among children.

Conclusions

This longitudinal study of Japanese elementary school children revealed that the effect of toothbrushing twice or more a day on children’s resilience was more significant for children living in poverty. Health policies that focus on the relatively easy-to-improve health behavior associated with toothbrushing frequency have the potential to contribute to boosting the resilience of children in poverty.

Data availability

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

  1. Belfer ML. Child and adolescent mental disorders: the magnitude of the problem across the globe. J Child Psychol Psychiatry. 2008;49(3):226–36.

    Article  PubMed  Google Scholar 

  2. Knapp M, King D, Healey A, Thomas C. Economic outcomes in adulthood and their associations with antisocial conduct, attention deficit and anxiety problems in childhood. J Mental Health Policy Econ. 2011;14(3):137–47.

    Google Scholar 

  3. Jokela M, Ferrie J, Kivimäki M. Childhood problem behaviors and death by midlife: the British National Child Development Study. J Am Acad Child Adolesc Psychiatry. 2009;48(1):19–24.

    Article  PubMed  Google Scholar 

  4. Melton TH, Croarkin PE, Strawn JR, Mcclintock SM. Comorbid anxiety and depressive symptoms in children and adolescents: a systematic review and analysis. J Psychiatr Pract. 2016;22(2):84.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Luthar SS, Zigler E. Vulnerability and competence: a review of research on resilience in childhood. Am J Orthopsychiatry. 1991;61(1):6–22.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  6. Masten AS, Coatsworth JD. The development of competence in favorable and unfavorable environments: lessons from research on successful children. Am Psychol. 1998;53(2):205.

    Article  PubMed  CAS  Google Scholar 

  7. Hjemdal O, Vogel PA, Solem S, Hagen K, Stiles TC. The relationship between resilience and levels of anxiety, depression, and obsessive–compulsive symptoms in adolescents. Clin Psychol Psychother. 2011;18(4):314–21.

    Article  PubMed  Google Scholar 

  8. Hjemdal O, Aune T, Reinfjell T, Stiles TC, Friborg O. Resilience as a predictor of depressive symptoms: a correlational study with young adolescents. Clin Child Psychol Psychiatry. 2007;12(1):91–104.

    Article  PubMed  Google Scholar 

  9. Nurius P, LaValley K, Kim MH. Victimization, poverty, and Resilience resources: stress process considerations for adolescent Mental Health. School Ment Health. 2020;12(1):124–35.

    Article  PubMed  Google Scholar 

  10. Frencken JE, Peters MC, Manton DJ, Leal SC, Gordan VV, Eden E. Minimal intervention dentistry for managing dental caries–a review: report of a FDI task group. Int Dent J. 2012;62(5):223–43.

    Article  PubMed  Google Scholar 

  11. Zimmermann H, Zimmermann N, Hagenfeld D, Veile A, Kim TS, Becher H. Is frequency of tooth brushing a risk factor for periodontitis? A systematic review and meta-analysis. Commun Dent Oral Epidemiol. 2015;43(2):116–27.

    Article  Google Scholar 

  12. Fukuya Y, Matsuyama Y, Isumi A, Doi S, Ochi M, Fujiwara T. Toothbrushing and school refusal in elementary school: a longitudinal study. Int J Environ Res Public Health. 2020;17(20):7505.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Baker S, Morawska A, Mitchell A. Promoting children’s healthy habits through self-regulation via parenting. Clin Child Fam Psychol Rev. 2019;22:52–62.

    Article  PubMed  Google Scholar 

  14. Muscatell KA, Brosso SN, Humphreys KL. Socioeconomic status and inflammation: a meta-analysis. Mol Psychiatry. 2020;25(9):2189–99.

    Article  PubMed  Google Scholar 

  15. Doi S, Fujiwara T, Ochi M, Isumi A, Kato T. Association of sleep habits with behavior problems and resilience of 6-to 7-year-old children: results from the A-CHILD study. Sleep Med. 2018;45:62–8.

    Article  PubMed  Google Scholar 

  16. Doi S, Fujiwara T, Isumi A, Ochi M. Pathway of the Association between Child Poverty and Low Self-Esteem: results from a Population-based study of adolescents in Japan. Front Psychol. 2019;10:937.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Tani Y, Doi S, Isumi A, Fujiwara T. Association of home cooking with caregiver–child interaction and child mental health: results from the Adachi Child Health Impact of Living Difficulty (A-CHILD) study. Public Health Nutr. 2021;24(13):4257–67.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Yamaoka Y, Isumi A, Doi S, Ochi M, Fujiwara T. Differential Effects of Multiple Dimensions of Poverty on Child Behavioral Problems: Results from the A-CHILD Study. Int J Environ Res Public Health 2021, 18(22).

  19. Townsend P. Poverty in the United Kingdom: a survey of household resources and standards of living. Univ of California; 1979.

  20. Whelan CT, Maître B. Welfare regime and social class variation in poverty and economic vulnerability in Europe: an analysis of EU-SILC. J Eur Social Policy. 2010;20(4):316–32.

    Article  Google Scholar 

  21. Ochi M, Isumi A, Kato T, Doi S, Fujiwara T. Adachi Child Health Impact of Living Difficulty (A-CHILD) study: Research Protocol and profiles of participants. J Epidemiol. 2021;31(1):77–89.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Furukawa TA, Kawakami N, Saitoh M, Ono Y, Nakane Y, Nakamura Y, Tachimori H, Iwata N, Uda H, Nakane H. The performance of the Japanese version of the K6 and K10 in the World Mental Health Survey Japan. Int J Methods Psychiatr Res. 2008;17(3):152–8.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Sakurai K, Nishi A, Kondo K, Yanagida K, Kawakami N. Screening performance of K6/K10 and other screening instruments for mood and anxiety disorders in Japan. J Neuropsychiatry Clin Neurosci. 2011;65(5):434–41.

    Google Scholar 

  24. Macgregor I, Balding J. Self-esteem as a predictor of toothbrushing behaviour in young adolescents. J Clin Periodontol. 1991;18(5):312–6.

    Article  PubMed  CAS  Google Scholar 

  25. Pengpid S, Peltzer K. Hand and oral hygiene practices among adolescents in Dominican Republic, Suriname and Trinidad and Tobago: prevalence, health, risk behavior, mental health and protective factors. Int J Environ Res Public Health. 2020;17(21):7860.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Dumitrescu AL, Kawamura M, Dogaru BC, Dogaru CD. Self-reported oral health status, oral health-related behaviours, resilience and hope in Romania. Oral Health Prev Dent 2009, 7(3).

  27. Broyles ST, Staiano AE, Drazba KT, Gupta AK, Sothern M, Katzmarzyk PT. Elevated C-reactive protein in children from risky neighborhoods: evidence for a stress pathway linking neighborhoods and inflammation in children. 2012.

  28. Miller GE, Chen E, Parker KJ. Psychological stress in childhood and susceptibility to the chronic diseases of aging: moving toward a model of behavioral and biological mechanisms. Psychol Bull. 2011;137(6):959.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Miller GE, White SF, Chen E, Nusslock R. Association of inflammatory activity with larger neural responses to threat and reward among children living in poverty. Am J Psychiatry. 2021;178(4):313–20.

    Article  PubMed  Google Scholar 

  30. Evans GW. The environment of childhood poverty. Am Psychol. 2004;59(2):77.

    Article  PubMed  Google Scholar 

  31. Arweiler NB, Netuschil L. The oral microbiota. Adv Exp Med Biol. 2016;902:45–60.

    Article  PubMed  Google Scholar 

  32. Amar S, Han X. The impact of periodontal infection on systemic diseases. Med Sci Monitor: Int Med J Experimental Clin Res. 2003;9(12):RA291–299.

    Google Scholar 

  33. Bretz WA, Weyant RJ, Corby PM, Ren D, Weissfeld L, Kritchevsky SB, Harris T, Kurella M, Satterfield S, Visser M. Systemic inflammatory markers, periodontal diseases, and periodontal infections in an elderly population. J Am Geriatr Soc. 2005;53(9):1532–7.

    Article  PubMed  Google Scholar 

  34. Teche SP, Rovaris DL, Aguiar BW, Hauck S, Vitola ES, Bau CH, Freitas LH, Grevet EH. Resilience to traumatic events related to urban violence and increased IL10 serum levels. Psychiatry Res. 2017;250:136–40.

    Article  PubMed  CAS  Google Scholar 

  35. Imai R, Hori H, Itoh M, Lin M, Niwa M, Ino K, Ogawa S, Sekiguchi A, Kunugi H, Akechi T. Relationships of blood proinflammatory markers with psychological resilience and quality of life in civilian women with posttraumatic stress disorder. Sci Rep. 2019;9(1):17905.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Gouin JP, Caldwell W, Woods R, Malarkey WB. Resilience Resources Moderate the Association of Adverse Childhood Experiences with adulthood inflammation. Ann Behav Med. 2017;51(5):782–6.

    Article  PubMed  Google Scholar 

  37. Dantzer R, Cohen S, Russo SJ, Dinan TG. Resilience and immunity. Brain Behav Immun. 2018;74:28–42.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Van Schrojenstein Lantman M, Mackus M, Otten LS, de Kruijff D, van de Loo AJ, Kraneveld AD, Garssen J, Verster JC. Mental resilience, perceived immune functioning, and health. J Multidiscip Healthc. 2017;10:107–12.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Gaeta ML, Cavazos J, del Rosario Cabrera M, Rosário P. Fostering oral hygiene habits and self-regulation skills: an intervention with preschool children. Fam Community Health. 2018;41(1):47–54.

    Article  PubMed  Google Scholar 

  40. Blair C. Stress and the development of self‐regulation in context. Child Dev Perspect. 2010;4(3):181–8.

  41. Blair C, Raver CC. Child development in the context of adversity: experiential canalization of brain and behavior. Am Psycholog 2012;67(4):309.

  42. Conger RD, Donnellan MB. An interactionist perspective on the socioeconomic context of human development. Annu Rev Psychol. 2007;58:175–199.

  43. Grant KE, Compas BE, Stuhlmacher AF, Thurm AE, McMahon SD, Halpert JA. Stressors and child and adolescent psychopathology: moving from markers to mechanisms of risk. Psycholog Bull. 2003;129(3):447.

  44. de Jong-Lenters M, L’Hoir M, Polak E, Duijster D. Promoting parenting strategies to improve tooth brushing in children: design of a non-randomised cluster-controlled trial. BMC Oral Health. 2019;19(1):1–12.

    Google Scholar 

  45. Razani N, Niknam K, Wells NM, Thompson D, Hills NK, Kennedy G, Gilgoff R, Rutherford GW. Clinic and park partnerships for childhood resilience: a prospective study of park prescriptions. Health Place. 2019;57:179–85.

    Article  PubMed  Google Scholar 

  46. DiClemente RJ, Crosby R, Kegler MC. Emerging theories in health promotion practice and research. Wiley; 2009.

  47. Polk D, Geng M, Levy S, Koerber A, Flay B. Frequency of daily tooth brushing: predictors of change in 9-to 11-year old US children. Community Dent Health. 2014;31(3):136.

    PubMed  PubMed Central  CAS  Google Scholar 

  48. Zhang C, Spelt H, van Wissen A, Lakens D, WA IJ. Habit and goal-related constructs in determining toothbrushing behavior: two sensor-based longitudinal studies. Health Psychol. 2022;41(7):463–73.

    Article  PubMed  Google Scholar 

  49. Kim YR, Kang HK. Trend Analysis of average frequency using toothbrushing per day in South Korea: an observational study of the 2010 to 2018 KNHANES Data. Int J Environ Res Public Health 2021, 18(7).

  50. Masten AS. Ordinary magic. Resilience processes in development. Am Psychol. 2001;56(3):227–38.

    Article  PubMed  CAS  Google Scholar 

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Acknowledgements

We would like to thank all the participants of the survey, particularly the staff members and the central office of Adachi City Hall, for conducting the survey. We would also like to thank Mayor Yayoi Kondo, Mr. Shuichiro Akiu, Mr. Hideaki Otaka, and Ms. Yuko Baba of Adachi City Hall, all of whom contributed significantly to the completion of this study.

Funding

This study was supported by a Health Labor Sciences Research Grant, Comprehensive Research on Lifestyle Disease from the Japanese Ministry of Health, Labor and Welfare (H27-Jyunkankito-ippan-002), Research of Policy Planning and Evaluation from the Japanese Ministry of Health, Labor and Welfare (H29-Seisaku-Shitei-004), Innovative Research Program on Suicide Countermeasures (IRPSC), and Grants-in-Aid for Scientific Research from the Japan Society for the Promotion of Science (JSPS KAKENHI Grant Number 16H03276, 16K21669, 17J05974, 17K13245, 19K19310, 19K14029, 19K19309, 19K20109, 19K14172, 19J01614, 19H04879, 20K13945, and 21H04848), St. Luke’s Life Science Institute Grants, the Japan Health Foundation Grants, and Research-Aid (Designated Theme), Meiji Yasuda Life Foundation of Health and Welfare.

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AS contributed to the study conception, study design, and formal analysis and drafted the first manuscript. and critically revised the manuscript.YT contributed to the study conception, design, and investigation and drafted and critically revised the manuscript.AI contributed to the data curation and investigation and critically revised the manuscript.TO contributed to the study conception, design, and supervision and critically revised the manuscript.KM contributed to the study conception, design, and supervision and critically revised the manuscript.TF contributed to the study conception, design, investigation, and supervision and critically revised the manuscript.

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Correspondence to Takeo Fujiwara.

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This study was approved by the ethics committee in Tokyo Medical and Dental University (M2016-284) and the National Center for Child Health and Development, Tokyo. All caregivers (parents or legal guardians) provided written informed consent to participate in the study.

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Not applicable.

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The authors declare no competing interests.

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Suzuki, A., Tani, Y., Isumi, A. et al. Frequent toothbrushing boosts resilience among children in poverty: results from a population-based longitudinal study. BMC Oral Health 24, 927 (2024). https://doi.org/10.1186/s12903-024-04686-9

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