Submitted:
29 January 2026
Posted:
30 January 2026
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Abstract
Background/Objectives: The consumption of ultra-processed foods (UPFs) has increased markedly in recent decades and has been associated with adverse health outcomes. In childhood, the family environment plays a central role in shaping dietary habits and oral health behaviors. This study investigated the association between UPF consumption by caregivers and children, its relationship with caregivers’ periodontal health–related quality of life and described children’s dietary practices and oral hygiene habits. Methods: This cross-sectional observational study was conducted with caregivers of children participating in the Happy Smile Project in Birigui, São Paulo, Brazil. UPF consumption was assessed using a questionnaire based on the NOVA classification, considering intake in the 24 hours prior to data collection. Caregivers’ periodontal health–related quality of life was evaluated using the OHIP-14-PD. Statistical analyses included the Mann–Whitney U test, Spearman correlation, and binary logistic regression adjusted for caregiver education level and household income. Results: A high frequency of UPF consumption was observed among both caregivers and children. Children whose caregivers had high UPF consumption were more likely to also present high consumption (OR = 8.66; 95% CI: 5.00–14.99; p < 0.001). Higher caregiver education was associated with lower odds of high UPF consumption among children. Children in the high-consumption group were older and showed higher consumption of sweetened milk beverages (p < 0.001). Risk behaviors for oral health, such as nighttime use of sweetened bottles and absence of toothbrushing afterward, were frequently reported. Regarding periodontal health–related quality of life, only the physical disability domain of the OHIP-14-PD showed significantly higher scores among caregivers with high UPF consumption (p = 0.014). Conclusions: In conclusion, high consumption of ultra-processed foods by caregivers significantly increased the odds of children’s consumption and was associated with a greater negative impact on caregivers’ periodontal health–related quality of life. In addition, children exhibited a high frequency of oral health–damaging behaviors. These findings highlight the importance of family-centered strategies aimed at reducing the intake of ultra-processed foods and promoting healthier oral health behaviors to improve overall quality of life.
Keywords:
1. Introduction
2. Materials and Methods
2.1. Sociodemographic and Health Data
2.2. Assessment of Ultra-Processed Food Consumption
2.3. Children’s Dietary Practices, Oral Hygiene Habits, and Caregivers’ Perceptions
2.4. Periodontal Health–Related Quality of Life
2.5. Statistical Analysis
3. Results
3.1. Caregivers’ Sociodemographic and Clinical Characteristics
3.2. Children’s Sociodemographic and Behavioral Characteristics
3.3. Frequency of UPF Intake
3.4. Association Between Caregivers’ and Children’s UPF Consumption
3.5. Reported Difficulties in Offering a Healthy Diet and Oral Hygiene
3.6. Knowledge, Frequency, and Motives Related to UPF Consumption
3.7. Association Between UPF Consumption and Periodontal Health–Related Quality of Life
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| BMI | Body Mass Index |
| OHIP-14-PD | Oral Health Profile applied to Periodontal Diseases |
| OR | Odds Ratio |
| SPSS | Statistical Package for the Social Sciences |
| SD | Standard Deviation |
| UPF | Ultra-processed food |
| UPFs | Ultra-processed foods |
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| Demographic data | Low consumption of UPFs | High consumption of UPFs | Total | Spearman's correlation (p-value) |
|
Gender (n= 390) Female Male Not specified |
179 39 1 |
146 25 0 |
325 64 1 |
0,463 |
|
Education level (n= 376) Elementary school High school Undergraduate degree Postgraduate degree |
22 130 47 11 |
29 101 26 10 |
51 231 73 21 |
0,06 |
|
Income (n= 385) Below R$1000 R$1000 e R$2500 2500 a 8000 R$8.000 e R$20.000 Above R$20.000 |
16 82 105 11 0 |
19 71 74 7 0 |
35 153 179 18 0 |
0,130 |
|
N° of residents (n= 309) Up to 2 people 3-4 people 5 people or more |
19 127 22 |
19 103 19 |
38 230 41 |
0,760 |
| Age - mean (SD)(n=353) | 32,4 (7,2) | 31,2 (7,3) | 353 | 0,184 |
|
BMI(n=312) Underweight Normal weight Overweight Obesity class I Obesity class II Obesity class III |
4 56 59 43 16 10 |
1 42 37 29 10 5 |
5 99 96 72 26 15 |
0,681 |
|
Hypertension (n= 392) No Yes |
192 27 |
152 21 |
344 48 |
0,955 |
|
Diabetes (n= 392) No Yes |
201 18 |
163 10 |
364 28 |
0,353 |
|
Hypercholesterolemia (n= 392) No Yes |
210 9 |
167 6 |
377 15 |
0,743 |
| Demographic data | Low consumption of UPFs | High consumption of UPFs | Total | Spearman's correlation (p-value) |
|
Gender (n=392) Male Female |
142 134 |
61 55 |
203 189 |
0,838 |
| Age (months) - Median (IQR) (n=351) | 36 (25) | 36 (24) | 387 |
0,001 |
|
Nighttime bottle-feeding (n=392) No Yes |
99 177 |
44 72 |
143 249 |
0,893 |
|
Milk flavored with sugar, chocolate powder, or similar items (n= 392) No Yes |
176 100 |
43 73 |
219 173 |
0,0001 |
|
Toothbrushing after nighttime bottle-feeding (n= 392) No Yes |
155 121 |
53 63 |
208 184 |
0,058 |
| Caregiver's consumption of ultra-processed foods | |||
| OR | IC 95% | p value | |
| Low Consumption | 1,00 | - | - |
| High Consumption | 8,66 | 5 – 14,99 | < 0,001 |
| Caregiver's educational level | |||
| OR | IC 95% | p value | |
| Elementary school | 1,00 | - | - |
| High school | 0,39 | 0,19-0,81 | 0,012 |
| Undergraduate degree | 0,17 | 0,06-0,47 | 0,001 |
| Postgraduate degree | 0,44 | 0,12-1,6 | 0,22 |
| Family income | |||
| OR | IC 95% | p value | |
| Below R$ 1.000,00 | 1,00 | - | - |
| R$ 1.000,00 – R$ 2.500,00 | 0,6 | 0,24 – 1,48 | 0,27 |
| R$ 2.500,00 – R$ 8.000,00 | 0,42 | 0,16 – 1,06 | 0,06 |
| R$ 8.000,00 – R$ 20.000,00 | 0,38 | 0,07 – 1,98 | 0,25 |
| Domain | Low UPFs consumption | High UPFs consumption | p-value |
| Functional limitation | 0 (0-2) | 0 (0-2) | 0,999 |
| Physical pain | 2 (1-4) | 2 (1-4) | 0,889 |
| Psychological discomfort | 0 (0-2) | 0 (0-2) | 0,174 |
| Physical disability | 0 (0-3) | 1 (0-4) | 0,014 |
| Psychological disability | 0 (0-2) | 0 (0-3) | 0,509 |
| Social disability | 0 (0-0) | 0 (0-0) | 0,107 |
| Social disadvantage | 0 (0-3) | 0 (0-0) | 0,275 |
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