764 2024 Salivary Caries-Related Microorganisms and Demographics of a Group of Children Vol 13 No 1 (2025) DOI 10.5195/d3000.2025.764 h#p://den*stry3000.pi#.edu Salivary Caries-Related Microorganisms and Demographics of a Group of Children Alhan Ahmed Qasim, Muna Saleem Khalaf, Ghada Ibrahim Taha, Zainab Juma Jafar College of Dentistry, University of Baghdad, Baghdad, Iraq Abstract Objec&ve: The purpose of this study was to determine the associa4on between caries related microorganisms in children’s saliva, such as Streptococcus mutans and lactobacilli, and their demographic factors. Methods: This study involved a sample of 135, both sexes with an age range between 3 and 10 years. Uns4mulated saliva was obtained and diluted in normal saline. Saliva was then placed in selec4ve media. Salivaris agar was used for mutans streptococci while Rogosa agar for lactobacilli. ADer incuba4on, Streptococcus mutans coun4ng of CFU (colony forming units) with morphology characteriza4on and numbers of CFU per milliliter of saliva for lactobacilli. Demographic factors informa4on was collected using a ques4onnaire. Results: Both studied salivary microorganisms increased with age. Streptococcus mutans was higher in boys, and associated with breasNeeding, overweight, and not brushing their teeth. Lactobacilli were higher in girls, and associated with mothers who were government employee, mother occupa4on, children who during sleep were not nursed, and with normal weight. Conclusion: The present study found an associa4on between salivary Streptococcus mutans and lactobacilli and various demographic variables in a group of children. Keywords: Saliva, Streptococcus mutans, Lactobacilli, Health, Demographics. Cita;on: Qasim AA, et al. (2025) Salivary Caries-Related Microorganisms and Demographics of a Group of Children. Den;stry 3000. 2.a001 doi:10.5195/d3000.2025.764 Received: October 30, 2024 Accepted: November 7, 2024 Published: January 8. 2025 Copyright: ©2025 Qasim AA, et al. This is an open access ar;cle licensed under a Crea;ve Commons AXribu;on Work 4.0 United States License. Email: dr.alhan_altaai@codental.uobaghdad.edu.iq Introduction The surfaces of the oral cavity are covered by salivary fluids, which is produced via the salivary glands; this fluid has definitive essential roles for maintaining oral healthy (1]. Many bacteria are present in saliva [2]. In fact, saliva secreted into the oral cavity from salivary glands is sterile [3], but when washing with saliva, bacteria shed to saliva from different surfaces in the oral cavity including oral mucosa, gingival crevices, and dental plaque, but the main site of origins are throat, tongue and the tonsils [4]. The microbiota of saliva contains many species of bacteria that are temporally stable and have been shown to be individualized, playing a crucial role in disease as dental caries and health of oral cavity [5]. Public policies on oral health consistently address several factors associated with dental caries like oral hygiene rule, dietary habits, genetics, oral health knowledge, demographics and sociocultural environment. Many studies have revealed an influence of diet and lifestyle on microbiota of saliva [6,7]. It is a fact that dental developmental stages affected the microbiome of saliva. Key factors include teeth eruption, age, oral hygiene practices and dietary changes [8]. Dental caries is a chronic disease which is widespread and affect people of different ages and demographics [9]. It is caused by bacterial acid result from fermentation of free sugars and poor oral hygiene, leading to localized damage to the hard tooth tissue, associated with the structure of deciduous and permanent teeth [10,11]. Most types of cariogenic bacteria were found to differ according to host, age and race. Bacteria vary among individuals of the same race. Investigations have employed Salivary Caries-Related Microorganisms and Demographics of a Group of Children Vol 13 No 1 (2025) DOI 10.5195/d3000.2025.764 h#p://den*stry3000.pi#.edu saliva to determine the occurrence of caries by exploring levels of the bacteria. as many cariogenic bacteria are present in saliva. Mutans Streptococcus (MS) is categorized as primary contributors to dental caries. Another bacteria strain set linked to the advancing of dental caries is lactobacillus (LB). Salivary lactobacilli may have an indirect role with advancement of caries. Elevated concentration of S. mutans and Lactobacillus in saliva are significantly corelated to the early occurrence of dental caries [12-16]. Saliva is one of the most studied components of caries [15], and because of positive correlation between concentration of salivary SM and LB and caries, these bacteria may be potential indicators for dental caries. A significant increase of salivary SM and LB concentrations was found in a group of adolescents with nontreated caries [16]. This study was intended to investigate the levels of Streptococcus mutans and Lactobacillus species in saliva and their relationship with children’s demographic profiles and nutritional status. Material and Methods This research is structured as descriptive observational study with cross-sectional design. It includes children of both sexes and ages 3 to 10 years [17] being treated at the teaching hospital’s Pedodontic and Preventive Dentistry unit clinics, University of Baghdad’s College of Dentistry. This study enrolled children with active carious lesions. Official approval of study protocol was garneted by both Department of Pedodontics and Preventive Dentistry’s Scientific Committee and the College of Dentistry’s Institutional Research Ethics Committee at the University of Baghdad in Iraq (reference Number.:816, project Number. 816323, Date;30-8-2023) (Chairman, Prof. Dr. Salwan Y. Bede). The parents of all children included in this study were asked to sign an informed consent document. Total sample of children participating in this study was 135. Each child received a questionnaire to be filled by their parents. Demographic variables included in this questionnaire were date of birth, age, sex, nursing pattern, nursing at sleep, added sweet to milk, tooth brushing, and occupation of mother and father. Following standard guidelines of Fejerskov and Thylstrup, in the morning between 10 to11 A.M. the samples of unstimulated saliva were collected [19]. Prior to this procedure, children rinsed their mouths with water and asked to spit the first mouthful of saliva into a small, pre-labeled plastic tube. One hour before collecting saliva, the child was asked not to eat or drink (except for water). A pre–sample period of 1 minute was followed. Then, unstimulated saliva was collected for 10 to 15 minutes. Saliva was collected with the child sitting and relaxed on a common chair. Any samples containing blood were discarded. After completing saliva collection, normal saline was used for dilution of the sample in the laboratory. A micropipette was used for application of saliva on selective media surfaces - mitis salivaris agar targeting Mutans streptococci and Rogosa agar for Lactobacilli. Then plates anaerobically were incubated at 37°C for 48 hours. For Streptococcus mutans, counting of Colony Forming Units (CFU) and morphology features were used, while numbers of CFU per ml of saliva were used for lactobacilli [20]. G power 3.1.9.7 (Program design by Franz-Faul at the University of Kiel, Germany) was used to calculate sample size of this study. Assuming 80% power, alpha error of 0.05, effect size of 0.25 (medium) sample size of this study was 111. When adding 10% as an error rate, 122 subjects were suggested. Therefore, our sample of 135 was enough to detect differences in our study [21]. Daily entrance of data from the children’s case sheets was done into Microsoft office Excel 2013, and the Statistical Package for Social Science version 22 (SPSS) (Chicago, Illinois, USA) was implemented for statistical tests. Salivary Caries-Related Microorganisms and Demographics of a Group of Children Vol 13 No 1 (2025) DOI 10.5195/d3000.2025.764 h#p://den*stry3000.pi#.edu We determined frequency, percentages, means and standard errors (SE), unpaired T test, one way analysis of variance with Games-Howell and Pearson correlations. Statistically significant level was accepted at p- value of less than 0.05. Results The overall sample were allocated based on the demographic variables as shown in Table 1. Comparison of Streptococcus mutans count in the saliva of children with their demographics, data revealed that the bacterial count is significantly increased with increased age. Additionally, the boys had significantly higher count than girls. Furthermore, count of salivary Streptococcus mutans showed a significant difference for type of nursing, status of nutrition and brushing time of teeth (Table 2). The count of bacterial Streptococcus mutans in saliva significantly increased in children who did not brush their teeth compared to those who brushed one time (Table 3). The count of lactobacilli in the saliva revealed that girls had significantly higher counts compared to boys, and a significant higher bacterial count were noted in children of government employee working mothers than in children of housewives (Table 4). Multiple comparisons for children’s nutritional status revealed that the differences were significant when comparing the obese group with the two other groups (Table 5). Discussion Dental caries is multifactorial in nature, so salivary features, oral hygiene, nutritional status, and demographic factors should be registered to indicate their roles as risk factors for dental caries [22]. Saliva provides a complex mixture of microorganisms and collection of saliva is noninvasive and easy [5]. Streptococcus mutans detach to saliva from different oral surfaces and is considered as major cariogenic bacteria. Lactobacilli play a role in tooth decay development because it can produce extracellular polysaccharides and lactic acid [23]. Several studies have investigated the salivary bacterial levels of Streptococcus mutans and risk of dental caries [22,24]. For optimal health from childhood to adulthood, good oral hygiene practices throughout life are suggested [25,26]. Changes in the environment and lifestyle shifts such as high access to consumption of processed foods with an increased content of carbohydrates and urbanization have contributed to obesity and dental caries among children [27]. The finding of this study showed an increase of salivary Streptococcus mutans and lactobacilli counts among children with increased age, in agreement with previous data [28,29]. In general, girls grow faster than boys, which results in earlier teeth eruption and more exposure to cariogenic bacteria [30]. Many studies observed variations in the salivary microbiota between males and females, which might suggest that microorganisms have limited influence on determination of dental caries [31,32]. Parents are responsible for providing a suitable environment for a healthy lifestyle and instilling good habits of oral hygiene [33]. In our study, children from mothers that were government employees had significantly higher counts of lactobacilli than children whom mothers were housewives, which agrees with previous work [34]. This could be since housewives put more effort in maintaining children’s oral health because they spend more time with them. Streptococcus mutans counts were higher in breastfeeding than other feeding patterns in our study. This is possibly because mothers Salivary Caries-Related Microorganisms and Demographics of a Group of Children Vol 13 No 1 (2025) DOI 10.5195/d3000.2025.764 h#p://den*stry3000.pi#.edu include foods and drinks other than breastmilk feeding, which increases susceptibility of the children to cariogenic microorganisms’ early childhood caries [35,36]. Also, our study showed that overweight children significantly have highest Streptococcus mutans counts. The same results were found in other studies [37-39], which linked an unhealthy body mass index or obesity with increased dental caries. Khalaf et al. and Raju et al. found inverse results, as their results showed that Streptococcus mutans counts in children with normal weight were higher than other BMI weights [40,41]. Children who did not brush their teeth had significantly higher Streptococcus mutans counts in their saliva in our study findings, which agrees with previous work [40]. Mechanical action of toothbrush bristles and active anticaries effects of toothpaste may provide this benefit of tooth brushing in decreasing the prevalence of dental caries. Brushing leads to not enough nutrients and time for growth of Streptococcus mutans and this led to a decrease in acid production [42]. This study has some potential limitations. The sample may not represent the broader population. Also, because this study is a cross- sectional in design, it could not give the causal relation between salivary caries related microorganisms and development of caries, depending on different demographics. In addition, our study sample collection from a specific geographic and socioeconomic group may not apply to other populations or communities. Conclusion Microbial profile of both salivary Streptococcus mutans and lactobacilli correlate with demographic factors of children. Further investigations using longitudinal designs are needed to search for causative relations and the role of demographics. Ethical Approval This study was received ethical approval from the Research Ethics Committee of the College of Dentistry \ University of Baghdad Ref. number: 816, Date 30-8-2023. Conflicts of interest The authors advertise no competing interest. References 1. Pedersen A, Sorensen CE, Proctor GB, et al. Salivary functions in mastication, taste and textural perception, swallowing and initial digestion. Oral Dis. 2018;24(8):1399–1416. 2. Lynge Pedersen AM, Belstrom D. The role of natural salivary defenses in maintaining a healthy oral microbiota. J Dent. 2019;80(Suppl 1):S3–S12. 3. Schroder SA, Bardow A, Eickhardt-Dalboge S, et al. Is parotid saliva sterile on entry to the oral cavity? Acta Otolaryngol. 2017;137(7):762–764. 4. Segata N, Haake SK, Mannon P, et al. Composition of the adult digestive tract bacterial microbiome based on seven mouth surfaces, tonsils, throat and stool samples. Genome Biol. 2012;13(6):R42 5. Belstrom D. The salivary microbiota in health and disease. Journal of Oral Microbiology. January 2020 12(1):1723975. DOI:10.1080/20002297.2020.1723 975 6. Hansen TH, Kern T, Bak EG, et al. Impact of a vegan diet on the human salivary microbiota. Sci Rep. 2018;8(1):5847. 7. Lassalle F, Spagnoletti M, Fumagalli M, et al. Oral microbiomes from hunter- gatherers and traditional farmers reveal shifts in commensal balance and pathogen load linked to diet. Mol Ecol. 2018;27(1):182–195. 8. Mason MR, Chambers S, Dabdoub SM, et al. Characterizing oral microbial communities across dentition states and colonization niches. Microbiome.2018;6(1):67. Salivary Caries-Related Microorganisms and Demographics of a Group of Children Vol 13 No 1 (2025) DOI 10.5195/d3000.2025.764 h#p://den*stry3000.pi#.edu 9. Ardelean LC, Rusu LC, Gehrke SA. Enamel and Dentin- Pulp Complex. IntechOpen. 17 July 2024. Doi10.5772/intechopen.114766. 10. Peres MA, Macpherson L, Weyant RJ, Daly B, Venturelli R, Mathur MR, et al. Oral diseases: a global public health challenge. Lancet. 2019;394:249–60. https://doi.org/10.1016/S0140- 6736(19)31146-8. 11. J.R. Martins, Diaz-Fabergat B, Romirez-Carmana W, Monterio DR, Pessan JP, Antoniali C. Salivary biomarkers of oxidative stress in children with dental caries: Systematic review and meta- analysis. Archives of Oral Biology. 2022;139: 12. Baker JL, Morton JT, Dinis M, Alvarez R, Tran NC, Knight R, Edlund A. Deep metagenomics examines the oral microbiome during dental caries, revealing novel taxa and co-occurrences with host molecules. Genome Res. 2021;31(1):64–74. 13. Lapirattanakul J, Nomura R, Okawa R, Tantivitayakul P, Kaypetch R, Lehrkinder A, Lingström P, Birkhed D, Matsumoto Nakano M, Nakano K. Multilocus sequence typing and phenotypic properties of Streptococcus mutans from Thai children with different caries statuses BMC Oral Health. 2024;24:1063. https://doi.org/10.1186/s12903- 024-04759-9. 14. Hall-Scullin E, Whitehead H, Milsom K, Tickle M, Su TL, Walsh T. Longitudinal study of caries development from childhood to adolescence. J Dent Res. 2017; 96:762–7. 15. Corby PM, Lyons-Weiler J, Bretz WA et al. Microbial risk indicators of early childhood caries. J Clin Microbiol 2005; 43(11): 5753–5759. 16. Lin P, Mai H, Wu C, Lin H, Chi L. Association between untreated caries and cariogenic bacteria in adolescents in Taiwan. Journal of Dental Sciences.2024;19(4):2027-2034. 17. World Health Organization. Oral health surveys. In: Basic Methods. Geneva: World Health Organization; 2013. p. 13-16. 18. World Health Organization, International Federation of Red Cross, Red Crescent Societies, World Food Programme. The management of nutrition in major emergencies. World Health Organization; 2000. 19. Fejerskov O, Thylstrup A. The oral environment and introduction. Textbook of Clinical Cariology. 2nd ed. Copenhagen: Munksgaard; 1994; p.13-17. 20. Kishi M, Abe A, Kishi K, Ohara-Nemoto Y, Kimura S, Yonemitsu M. Relationship of quantitative salivary levels of s. mutans and s. sobrinus in mothers to caries status and colonization of mutans streptococci in plaque in their 2.5-year-old children. Community Dent Oral Epidemiol 2009; 37: 241-9. 21. Chen H, Cohen P, Chen S. How big is a big odds ratio? Interpreting the magnitudes of odds ratios in epidemiological studies. Commun Stat Simul Comput 2010; 39:860-4. 22. Bhayat AA, Tamer MH, Al- Shorman M, Abu-Naba’a H, Bakeer LH. Correlating dental caries with oral bacteria and the buffering capacity of saliva in children in Madinah, Saudi Arabia. J. Int. Soc. Prev. Community Dent. 2016, 3, 38–43. 23. Hasan NA, Young BA, Minard-Smith AT, et al. Microbial community profiling of human saliva using shotgun metagenomic sequencing. PLoS One. 2014;9(5): e97699. 24. Lin X, Wang Y, Ma Z, Xie M, Liu Z, Cheng J, Tian Y and Shi H. Correlation between caries activity and salivary microbiota in preschool children. Front. Cell. Infect. Microbiol. 2023,13:1141474. doi: 10.3389/fcimb.2023.1141474 25. Shahraki T, Shahraki M, Mehr SO. Association between Body Mass Index and Caries Frequency among Zahedan Elementary School Children. Int. J. High Risk Behav. Addict. 2013, 2, 122–125. 26. Eman KC, Qasim A. Nutritional status in relation to oral health status among patients attending dental hospital. J Bagh Coll Dentistry 2013; 25:114–9. Available from: https://jbcd.uobaghdad.edu.iq/ind ex.php/ jbcd/article/view/209 Salivary Caries-Related Microorganisms and Demographics of a Group of Children Vol 13 No 1 (2025) DOI 10.5195/d3000.2025.764 h#p://den*stry3000.pi#.edu 27. Alshehri Y, Park JS, Kruger E, Tennant M. Association between body mass index and dental caries in the Kingdom of Saudi Arabia: Systematic review. Saudi Dent. J. 2020, 32, 171–180. 28. Shi W, Qin M, Chen F, Xia B. Supragingival microbial profiles of permanent and deciduous teeth in children with mixed dentition. PLoS ONE 2016, 11, e0146938. 29. Lee E, Park S, Um S, Kim S, Lee J, Jang J, Jeong H.-O., Shin J, Kang, J, Lee S et al. Microbiome of saliva and plaque in children according to age and dental caries experience. Diagnostics 2021, 11, 1324. https://doi.org/ 10.3390/diagnostics11081324. 30. Xu L, Shao JL, Pan F. Eruption times and sequence of permanent teeth in 6712 children and young adolescents (In Chinese). J Pract Stomatol 2007; 23:243–5. doi: 10.1007/s00784- 004-0295-y 31. Ortiza S, Herrmana E, Lyashenkob C, Purcell A, Raslana K, Khora B, Snow M, Forsythc A, Choid D, Maier T, Machida CA. Sex- specific differences in the salivary microbiome of caries-active children. Journal of Oral Microbiology 2019; 111653124. https://doi.org/10.1080/20002297 . 32. Juma’a Z, Fadhil R, Abdul- Hussain Y. Correlation between caries related microorganisms in the dental plaque and saliva with dental caries level in the upper and lower jaws in 5-9 years old children in Bagh dad city. Journal of Baghdah Coll Dentistry 2016; 28(3):132–6. 33. Ellakany P, Madi M, Fouda SM, Ibrahim M, AlHumaid, J. The Effect of Parental Education and Socioeconomic Status on Dental Caries among Saudi Children. Int. J. Environ. Res. Public Health 2021, 18, 11862. https://doi.org/10.3390/ijerph182 211862. 34. Nembhwani HV, Varkey I. Caries Experience and Its Relationship with Mother's Educational Level and Occupational Status: A Cross- sectional Survey. Int J Clin Pediatr Dent. 2022;15(Suppl 2):S226-S229. doi: 10.5005/jp-journals-10005- 2163. PMID: 35645509; PMCID: PMC9108831. 35. Chaffee BW, Feldens CA, Rodrigues PH, Vítolo MR. Feeding practices in infancy associated with caries incidence in early childhood. Community Dent Oral Epidemiol. 2015;43:338–348. doi: 10.1111/CDOE.12158. 36. Salih A, Qasim A, Kolah K. Assessment of the salivary level of glutathione and the feeding pattern in molar incisor hypomineralization among 7-9 years of age:an analytical cross- sectional study. J Bagh Coll Dentistry 2024;36(3): 42-49. 37. Powell JC, Koroluk LD, Phillips CL, Roberts MW. Relationship between adjusted body mass index percentile and decayed, missing, and filled primary teeth. J. Dent. Child. 2013, 80, 115–120. 38. Yousif SH, Qasim AA. Correlation of dental caries severity with physical properties of saliva in connection with nutrition status among a group of adolescents. Medical Journal of Babylon 2023;20(4): 715-720. DOI: 10.4103/MJBL.MJBL_130_23 39. Honne T, Pentapati K, Kumar N, Acharya S. Relationship between obesity/overweight status, sugar consumption and dental caries among adolescents in South India. Int J Dent Hyg 2012; 10:240-4. 40. Khalaf MS, Qasim AA, Jafar ZJ, Mohammad AT. Dental Plaque Caries Related Microorganism in Relation to Demographic Factors among a Group of Iraqi Children. Folia Medica 2024;66(4):491-499. 41. Raju SC, Lagström S, Ellonen P. Gender-specific associations between saliva microbiota and body size. Front Microbiol 2019; 10:767. doi: 10.3389/fmicb.2019.00767. 42. Abdulbaqi HR, Abdulkareem AA, Alshami ML, Milward MR. The oral health and periodontal diseases awareness and knowledge in the Iraqi population: Online-based survey. Clin Exp Dent Res. 2020 Oct;6(5):519-528. doi: 10.1002/cre2.304. Epub 2020 Jun 26. PMID: 32592312; PMCID: PMC7545227. Salivary Caries-Related Microorganisms and Demographics of a Group of Children Vol 13 No 1 (2025) DOI 10.5195/d3000.2025.764 h#p://den*stry3000.pi#.edu Table 1. Descriptive statistics of the complete sample depending on the studied demographic variables. Demographic Variables Divisions No. % Child age 3 to 6 years 80 59.26 7 to10 years 55 40.74 Child sex Males 69 51.11 Females 66 48.89 Father occupation Government employee 66 48.89 Free jobs 69 51.11 Mother occupation Government employee 109 80.74 Housewife 26 19.26 Adding sugar Yes 39 28.89 No 96 71.11 Type of nursing Breast milk feeding 93 68.89 Bottle milk feeding 15 11.11 Mixed 27 20.00 Sleep nursing Yes 86 63.70 No 49 36.30 Nutritional status Normal weight percentile 78 57.78 Over-weight percentile 31 22.96 Obese percentile 26 19.26 Tooth brushing No brushing 14 10.37 One time 56 41.48 Two time 65 48.15 Salivary Caries-Related Microorganisms and Demographics of a Group of Children Vol 13 No 1 (2025) DOI 10.5195/d3000.2025.764 h#p://den*stry3000.pi#.edu Table 2. The counts of S. mutans level in the saliva based on the demographic variables. Demographic Variables Mean SE Test P value Child age 3-6 years .220 .031 3.308 0.001 7-10 years .462 .066 Child sex Males .419 .054 3.106 0.001 Females .214 .038 21-30 years .239 .041 31-40 years .604 .083 41-50 years .345 .016 Father occupation Government employee .252 .042 1.931 0.056 Free jobs .382 .053 Mother occupation Government employee .321 .041 0.254 0.801 Housewife .306 .044 Adding sugar Yes .248 .066 1.282 0.204 No .347 .040 Positive history .671 .199 Type of nursing Breast milk feeding .386 .044 12.992 0.000 Bottle milk feeding .027 .018 Mixed .247 .061 Nutritional status Normal weight percentile .357 .039 6.416 0.003 Over-weight percentile .424 .102 Obese percentile .076 .024 Sleep nursing Yes .348 .046 1.237 0.219 No .266 .047 Teeth brushing No brushing .711 .154 6.744 0.004 One time .205 .047 Two time .332 .041 Salivary Caries-Related Microorganisms and Demographics of a Group of Children Vol 13 No 1 (2025) DOI 10.5195/d3000.2025.764 h#p://den*stry3000.pi#.edu Table 3. Games-Howell test for multiple comparing of S. mutans in saliva. Demographic Variables Comparisons MD P value Type of nursing Breast milk feeding Bottle feeding 0.360 0.000 Mixed feeding 0.139 0.165 Bottle milk feeding Mixed feeding -0.220 0.005 Nutrition status Normal weight percentile Over-weight -0.067 0.813 Obese percentile 0.281 0.000 Over-weight percentile Obese percentile 0.348 0.006 Tooth brushing No brushing One time 0.507 0.017 Two time 0.380 0.076 One time Two time -0.127 0.111 Salivary Caries-Related Microorganisms and Demographics of a Group of Children Vol 13 No 1 (2025) DOI 10.5195/d3000.2025.764 h#p://den*stry3000.pi#.edu Table 4. The counts of lactobacilli level in the saliva based on the demographic variables. Demographic Variables Saliva lactobacilli F P value Mean SE Child Age 3 to 6 years .221 .036 1.771 0.081 7 to 10 years .372 .077 Child Sex Boys .128 .033 4.320 0.000 Girls .444 .065 Father occupation Government employee .281 .046 0.042 0.967 Free jobs .284 .061 Mother occupation Government employee .316 .047 3.086 0.003 Housewife .143 .031 Adding sugar Yes .302 .054 0.367 0.714 No .275 .050 Type of nursing Breast milk feeding .275 .052 0.449 0.639 Bottle milk feeding .383 .062 Mixed feeding .253 .066 Nutritional status Normal weight percentile .359 .061 9.524 0.000 Over-weight percentile .285 .053 Obese percentile .052 .015 Sleep nursing Yes .215 .029 2.373 0.019 No .402 .091 Teeth brushing No brushing .154 .070 0.954 0.388 One time .263 .052 Two time .327 .065 Salivary Caries-Related Microorganisms and Demographics of a Group of Children Vol 13 No 1 (2025) DOI 10.5195/d3000.2025.764 h#p://den*stry3000.pi#.edu Table 5. Games-Howell test for multiple Comparing of lactobacilli in saliva. Variables Comparisons MD p value Nutritional status Normal weight percentile Over-weight percentile 0.074 0.634 Obese percentile 0.307 0.000 Over-weight percentile Obese percentile 0.234 0.000