Submitted:
21 June 2025
Posted:
24 June 2025
Read the latest preprint version here
Abstract
Keywords:
1. Introduction
2. Materials and Methods
Flowchart and Study Selection Process
3. Results
Type of Study and Study Design
Population and Sample Size
Data Collection Methods
Statistical Methodology, Analyses, and Recommendations
Limitations Reported
Comparative and Cross-Cultural Analysis
Overall Implications
4. Discussion
Current Gaps in Nutrition Education Among Clinicians
Proposed Competency-Based Curriculum
Interprofessional Coordination and Collaboration
Institutional and Policy Recommendations
Role of National Coordination Centers
Enhancing Dentists’ Own Oral Health Through Integrated Nutrition Education and Practice
Strengths and Limitations of the Study
Future Research Directions
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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| Authors | Type of study- Single/multi center | Population | Exposure | Comparators | Funding and Confilct | statistical significance | Limitations | Ethics approval | Sample calulation | Confounders | Outcomes |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1.Tantimahanon et al., (2024), [8]. |
Cross-sectional (multi-center) | Dental professionals (UG, PG, DT; n=842) | Dietary behaviors | Knowledge, attitude, alcohol consumption | No conflicts mentioned; funded by Mahidol University | Significant correlation (P < 0.001 for all groups) | Self-reported survey may lead to response bias. Age range primarily under 30, limiting generalizability. | Approved by Mahidol University IRB (MU-DT/PY-IRB 2023/004.1701) | Calculated using formula for finite population (CI 95%, margin error 6%) | Stress, socioeconomic factors, living environment | Attitude was the strongest determinant. Alcohol consumption negatively associated with healthy behaviors. |
| 2. Crespo-Escobar et al. (2024)[15] | Cross-sectional, multi-center | CeD patients (n=2,437); HCPs (n=346); Relatives (n=1,294) | Knowledge and adherence to GFD | Knowledge gaps in GFD; adherence in CeD | Not disclosed | Significant differences in knowledge sources and quality of GFD information provision (p < 0.05) | Self-report bias; focus on Spain; overrepresentation of association members; limited dietitian availability in public healthcare; cultural specificity of findings. | Approved by the Ethics Committee of UPV/EHU | Sampling via snowball method, no formal sample calculation. | Sociodemographic data, professional role, patient association membership | Knowledge gaps in GFD adherence among CeD patients and HCPs; limited time in consultations; reliance on unreliable sources (e.g., Internet). |
| 3.Hobby et al. (2024)[19]. | Cross-sectional qualitative design | 22 health professionals (including dietitians) | Perceptions of how personal diet influences self-efficacy in providing nutrition care | Not applicable | Not reported | Not applicable | Small sample size; findings may not be generalizable due to recruitment through media channels; self-reported data may introduce bias | Approved | Not applicable | Social environment, personal experiences | Health professionals perceive personal dietary habits strongly influence their self-efficacy in providing nutrition care. Strategies supporting healthier diets may enhance care quality. |
| 4.Znyk & Kaleta (2024)[31]. | Cross-sectional study | 161 doctors and 331 nurses in Poland | Eating habits and diet quality during shifts | General population; different work conditions | Not reported | Univariate logistic regression showed significant determinants of diet (p < 0.05) | Self-reported data may introduce recall bias; cross-sectional design; no questions about income; small sample size; conducted during COVID-19 pandemic, potentially affecting habits. | Approved | Not applicable | Work experience, number of patients, BMI, smoking | Unhealthy eating habits affected 25.8% of healthcare workers, linked to smoking, work experience, and patient load. Nurses exhibited higher prevalence of unhealthy habits. |
| 5.Dimopoulou et al (2023)[13] | Narrative review (single centralized author group, not empirical; no study centers) | General human populations across lifespan (children to older adults), aggregated from various studies | Nutritional factors: dietary sugar, frequency of intake, macro/micronutrient patterns linked to dental caries | Varied across included studies (e.g., high vs. low sugar intake; frequent vs. infrequent snacking; nutrient-rich vs. nutrient-poor diets) | Not reported in article; no conflicts declared | Not applicable (review synthesis; no original hypothesis testing) | Heterogeneity of included studies (designs, populations, methods) - Potential publication bias - Narrative synthesis (no meta-analysis) - Quality and validity of primary studies vary |
Not applicable (literature review; no new human or animal research) | Not applicable | Confounders reported variably in included studies (e.g., socioeconomic status, oral hygiene, fluoride exposure), but no uniform adjustment in this review | Associations between nutrition-related variables (sugar intake, snacking frequency, nutrient deficiencies) and dental caries incidence across age groups |
| 6.Chen et al. (2023) [32] | Cross-sectional study | In-service physicians in mainland China | Eating habits (e.g., eating out, irregular meals, eating too fast) | Physicians with healthier eating habits | Not reported | Significant associations between unhealthy eating habits and suboptimal health/disease occurrence (p < 0.05) | Convenience sampling; self-reported data may introduce recall bias; cross-sectional design limits causal inference. | Approved | Not applicable | Sociodemographic characteristics, BMI classification | High prevalence of unhealthy eating habits linked to increased rates of suboptimal health, obesity, and metabolic diseases among physicians. Eating too fast and eating out were common. |
| 7.Utter et al. (2023)[12] | Cross-sectional study, single center (large healthcare organization in South-East Queensland, Australia) | 501 healthcare workers (varied roles) | Dietary behaviors (overall diet quality, fruit/vegetable intake, family shared meals) | Different levels of dietary indicators (e.g., high vs low diet quality) | Not specified | Significant inverse relationship: healthier diet associated with lower burnout (adjusted for covariates) | Cross-sectional design (no causality); self-reported data; single site; no sample size calculation reported | Not explicitly stated (likely approved by institutional ethics board) | Not reported | Age, gender, role, employment level | Burnout levels; dietary behavior indicators |
| 8.Sert & Kendirkiran (2023) [23] | Cross-sectional descriptive study | 255 nurses working in Istanbul | Emotional eating behavior, burnout levels, and their effect on job performance | Nurses with different experience levels and job satisfaction levels | Not reported | Significant positive relationship between burnout, emotional eating, and job performance | Small sample size; single hospital study may not generalize findings; self-reported scales may introduce bias | Approved | Not detailed | Work environment factors, job satisfaction, and intensive care exposure | Burnout and emotional eating behavior negatively affect job performance. Recommendations include stress management training, psychiatric support, and organizational changes to improve nurses’ emotional and physical well-being. |
| 9.Gilbert et al. (2023) [7] | Observational (multi-wave) | University and medical center staff (n=1,994 wave 1; 1,426 wave 2; 1,363 wave 3) | Physical activity and diet during COVID-19 | Mental well-being, depression, anxiety, stress | Not specified | Maintained or increased physical activity and a healthy diet were significantly associated with reduced risk of worse mental health outcomes (ORs 0.44–0.76). | Self-reported data, potential recall bias, no pre-pandemic data, generalizability limited to one employer. | Approved by Washington University IRB | No specific sample calculation described; participation across three waves | Clinical role, age, gender, race, income, ethnicity | Maintaining/increasing PA and diet correlated with better mental health outcomes (e.g., reduced anxiety, stress). |
| 10.Tohary et al. (2022), [14] | Systematic review | Various studies on oral health | Diet and nutrition’s impact on oral health | Sugary diets, processed foods, nutrient-rich diets | Not specified | Not applicable | Relied on secondary data, potential biases in source studies, observational nature of included research | Not applicable | No specific sample calculation described. | Various dietary patterns and nutrient deficiencies | A balanced diet with essential nutrients supports oral health. High sugar and processed food consumption linked to oral diseases like caries. |
| 11.Bouillon-Minois et al. (2022),[25] | Prospective observational | 184 emergency HCWs | Night shifts on food and water intake | Day shifts as baseline | Not stated | Calorie intake decreased by 206 kcal (p=0.049) and water consumption by 243 mL (p=0.010). | Small sample size, limited to emergency HCWs; self-reported food intake data; no long-term follow-up | Yes | Not reported | Time of day, shift duration | Night shifts reduced caloric intake by 14.7%, water consumption by 16.7%, carbohydrates by 8.7%, proteins by 17.6%, and lipids by 18.7%; increased periods without eating or drinking. |
| 12.Wolska et al. (2022)[33] | Cross-sectional study | 445 healthcare workers | Shift work and dietary patterns | Daily work | Not reported | Significant differences in dietary patterns and fat intake among shift workers (p < 0.05) | Regional sample; self-reported dietary data using FFQ; cross-sectional design limits causal relationships | Approved | Not applicable | Mealtime consistency, Polish-aMED® score, dietary fat intake | Shift workers showed 2x higher odds of adherence to ‘Meat/fats/alcohol/fish’ pattern; lower adherence to ‘Pro-healthy’ dietary patterns and consistency in mealtime; higher fat intake. |
| 13.Mehrotra et al. (2021)[34] | Cross-sectional survey | 473 HCWs (doctors, nurses, pharmacists, interns, technicians) | Oral health knowledge, attitudes, and practices | Comparison across HCW categories | Not stated | Significant differences in oral health knowledge among HCW categories (P < 0.05) | Self-reported data; limited sample size; cross-sectional design | Yes | Not applicable | Demographics, profession, gender | Positive attitude towards professional dental care across all HCWs; significant variation in knowledge and practices based on profession. |
| 14.Mota et al. (2021, Brazil)[35] | Cross-sectional study | 710 Brazilian HCWs (predominantly women, aged 30-40, mostly physicians) | Impact of COVID-19 on eating habits, physical activity, and sleep | General population data for comparison | Not stated | Significant changes in sleep, diet, and physical activity patterns among HCWs | Self-reported data; potential recall bias; limited generalizability to HCWs outside Brazil | Yes | Not reported | Gender, age, professional role | Sleep-related complaints (66%); increase in carbohydrate and alcohol intake (24.5% and 27%, respectively); reduced physical activity (81.8%); self-medication for insomnia (60.3%). |
| 15.Lieffers et al., (2021),[16] | Scoping Review | Oral health professionals and dietitians in high-income countries | Nutrition care practices for oral health conditions | Nutrition care practices for oral health conditions | No conflicts reported, various funding sources | Not applicable | Limited data on dietitians; lack of detail on care provided; language restrictions (English only) | Not applicable | Not applicable | Not applicable | Identified gaps in literature; recommendations for future research on collaboration and practices |
| 16.Portero de la Cruz et al. (2020))[36] | Cross-sectional study | 171 emergency nurses | Burnout, perceived stress, diet, job satisfaction | Not applicable | No conflict of interest | Lack of physical exercise, gender, and years worked were significant predictors of burnout | Single region; potential reporting bias due to self-reported measures; cross-sectional design limits causal inference | Approved | Not applicable | Gender, years of experience, coping strategies, anxiety | Prevalence of high burnout: 8.19%. Moderate perceived stress and job satisfaction; frequent social dysfunction and somatic symptoms; problem-focused coping is commonly used. |
| 17.Souza et al. (2019)[37] | Systematic review | 33 observational studies | Shift work and its impact on eating habits | Day workers or other non-shift workers | Not reported | High risk of bias in most studies reviewed | Quality scores <70%; high bias in comparability, sample selection, and non-response; limited longitudinal data | Not applicable | Not applicable | Time of exposure, duration of workday, sleep patterns | Shift work is associated with irregular meal patterns, meal skipping, and increased consumption of unhealthy foods like saturated fats and soft drinks. Longitudinal studies are needed for causal inferences. |
| 18.Schneider et al. (2019)[3] | Secondary analysis of cross-sectional data | 18,820 participants (471 nurses, 433 healthcare professionals, 813 care workers, 17,103 non-healthcare workers) | Health-related behaviours: smoking, alcohol, physical activity, fruit/vegetable intake | General working population in Scotland | Not reported | Significant differences found in smoking, physical activity, and fruit/vegetable intake; no significant differences in alcohol consumption | Small sample size for certain subgroups (e.g., nurses); self-reported behaviours may introduce bias | Not reported | Not reported | Age, occupation group | Nurses reported better health-related behaviours (except alcohol consumption) compared to the general population. Other healthcare professionals exhibited the best behaviours overall. |
| 19.Almoteb et al. (2019)[38] | Cross-sectional study | 431 HCWs (doctors, nurses, pharmacists, technicians) | Oral hygiene status, practices, and knowledge | Comparison of doctors vs. others | Not stated | Significant differences in oral hygiene practices among HCWs (P < 0.05) | Limited to one hospital; cross-sectional design; lack of WHO oral hygiene pro forma | Yes (PSAU/CDS/430400428/2016) | Based on formula | Age, gender, profession | Fair oral hygiene status observed; doctors demonstrated better interdental aid usage; need for improved oral health education and integration into medical training. |
| 20. Van Horn et al 2019[39] | Expert workshop–based position/report; synthesizes existing education initiatives; multi-institutional/disciplinary representation | Medical students, residents, fellows, attending physicians, and other clinicians in the U.S. (and collaborators internationally) | Nutrition education frameworks, competency-based curriculum, interprofessional coordination | Pre-workshop baseline of medical nutrition training vs. proposed competency-based updates; integrated models vs. traditional curricula | Supported by NIH (NHLBI, Office of Dietary Supplements, Office of Disease Prevention) and American Society for Nutrition; | Not applicable (informal consensus report; no primary data testing) | Not empirical; consensus may reflect workshop attendees’ views; lacks direct outcome data; U.S.-centric; potential bias from funding stakeholders | Not required for workshop synthesis | Not applicable | Not applicable (conceptual framework rather than an experimental design) | Recommendations/frameworks: competency-based nutrition education, national coordination center, interprofessional collaboration models, accreditation integration |
| 21. Touger-Decker et al (2019) [40] | Practice guideline/position paper (single committee-authored; not empirical research) | Dietitians, nutritionists, and oral health professionals—recommendation target; broader public indirectly | Integration of nutrition and oral health—screening, education, referrals, medical nutrition therapy | Best-practice integrated nutrition–oral health services vs. non-integrated or standard care | Endorsed and published by Academy of Nutrition and Dietetics/Elsevier; no industry funding or conflicts disclosed | Not applicable (consensus guideline; no original data or statistical testing) | Position based on existing literature and expert consensus; may be influenced by publication bias; not a systematic review | Not required (non-research guideline development) | Not applicable | Not applicable (guideline synthesis, not primary research) | Recommendations for joint nutrition–oral health care practices, education, interprofessional collaboration, and research integration |
| 22.Ab-Murat et al., (2018)[41] | Cross-sectional survey | Malaysian dentists (81% response rate) | Mental well-being assessed through self-administered questionnaire using a conceptual framework | Not disclosed | - Positive mental well-being higher in those >40 years, married, and with children (P < 0.05) | ~2.5 (as of publication year) | Limited to Malaysian dentists - Self-reported data may introduce bias - No detailed funding disclosure - Lacks longitudinal analysis |
Approved, details not specified | Sample size not explicitly calculated | Age, marital status, parental status | - 61.7% reported positive mental well-being |
| 23.Orgel & Cavender (2018)[42] | Editorial commentary on survey | 1158 NHS staff | Lifestyle and cardiovascular health | General population benchmarks | Not stated | Rates of healthy diet and physical activity marginally better than public; significant room for improvement | Low response rate (13%); self-reported data; focus on cross-sectional findings | Not applicable | Not applicable | Fatigue, workplace environment | Poor diet (1 in 6 met recommendations; 5 in 6 consumed high sugar/fat), low physical activity (50%), and workplace barriers hinder health. Recommendations: subsidized healthy food, gym access, and behavioral counseling to improve HCWs’ health and reduce public risks. |
| 24.Torquati et al. (2017)[27] | Systematic review | Nurses/student nurses in healthcare | Interventions promoting diet and PA | Nurses with no or standard PA/diet interventions | Not reported | Promising but inconsistent effects on PA and diet outcomes in nurses. | Small sample sizes; low to moderate study quality; limited measurement of dietary outcomes; lack of objective measures. | Not applicable | Not applicable | Participant motivation, baseline health behaviors | Positive outcomes in PA (structured exercise, goal setting); dietary changes reported in few studies. Improved body composition in two studies without significant diet/PA changes. |
| 25.Ahmad et al. (2015)[43] | Cross-sectional | Healthcare professionals (N = 1,190; doctors, nurses, dentists in Punjab, Pakistan) | Dietary habits, exercise, mental well-being | Comparison with recommended guidelines (USDA, AHA, WEMWBS) | Not disclosed | Significant associations for diet, exercise, and mental well-being factors (p < 0.05) | Convenience sampling, limited to Punjab, Pakistan; self-reported BMI; no occupational stress scale; reliance on non-local guidelines (USDA); underrepresentation of dentists | Approved by CMH Lahore Medical and Dental College Ethical Review Committee | Sample size based on effect sizes; no a priori power calculation. | Sociodemographic factors, income, profession, occupational stressors | HCPs in Pakistan have poor adherence to dietary, exercise, and mental well-being guidelines, impacting both personal and professional outcomes. |
| 26.Waqas Ahmad et al., (2015)[44] | Cross-sectional | Healthcare professionals (N = 1,319; doctors, nurses, dentists, pharmacists, physiotherapists in Punjab, Pakistan) | Diet, exercise, mental well-being, chronic illnesses, occupational stressors | Comparison with global and USDA dietary standards, AHA exercise guidelines, WEMWBS mental well-being scores | Not disclosed | Identified significant predictors of mental well-being (p < 0.05) | Convenience sampling, restricted to Punjab, no validated occupational stress scale; BMI based on self-reported data; limited generalizability to Pakistan. | Ethical approval obtained, but WEMWBS not translated into Urdu | Not calculated; convenience sampling used with 87.35% response rate | Sociodemographic factors, household income, career satisfaction | HCPs in Punjab exhibit suboptimal dietary and exercise habits, moderate mental well-being, and high occupational stress levels affecting both personal and professional health. |
| 27.Taylor, M. (2012)[45] | Clinical guidance document developed by Oral Health & Nutrition Reference Group; not empirical research; single-author group | Healthcare professionals (dentists and oral health teams) in Scotland; recommendations tailored to general population, especially children under 5 | Use of dietary strategies and oral health advice (impact of fermentable carbohydrates, nutrient quality, frequency of eating) | Not applicable — guidance compares best-practice dietary/oral hygiene recommendations to standard or baseline practices | Developed under NHS Health Scotland; no conflicts of interest reported | Not applicable (guidance, not original research) | Based on expert consensus and existing evidence; no new data; may not reflect all global contexts; guidance publication date (2012) may limit current relevance | Not required (guidance document, not human subjects research) | Not applicable | Not applicable; recommendations inherently account for common dietary/oral health factors | Evidence-based oral health and nutrition advice aimed at reducing caries risk, promoting healthy diet frequency and content, supporting professional oral health counselling practices |
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