Journal of Clinical Medicine Research, ISSN 1918-3003 print, 1918-3011 online, Open Access
Article copyright, the authors; Journal compilation copyright, J Clin Med Res and Elmer Press Inc
Journal website https://jocmr.elmerjournals.com

Original Article

Volume 18, Number 2, February 2026, pages 107-119


Dietary Behavior and Risk of Depression: Effects of Ultra-Processed Food and Water Intake in a National Sample of the United States

Figures

Figure 1.
Figure 1. STROBE flow diagram (NHANES 2021–2023).
Figure 2.
Figure 2. Odds of PHQ-9–based depression by ultra-processed food intake quartiles. Models adjusted for age, sex, and body mass index. PHQ-9: Patient Health Questionnaire-9.
Figure 3.
Figure 3. Odds of PHQ-9–based depression by ultra-processed food intake and water intake quartiles. Models adjusted for age, sex, and body mass index. PHQ-9: Patient Health Questionnaire-9.
Figure 4.
Figure 4. Odds of PHQ-9–based depression by ultra-processed food and water intake quartile after excluding participants with extreme body mass indices. Models adjusted for age, sex, and body mass index. PHQ-9: Patient Health Questionnaire-9.
Figure 5.
Figure 5. Subgroup-specific odds for PHQ-9–based depression comparing lowest vs. highest UPF intake quartiles. HS: high school level education; PHQ-9: Patient Health Questionnaire-9.
Figure 6.
Figure 6. Subgroup-specific Odds for PHQ-9–based depression comparing lowest vs. highest water intake quartiles. HS: high school level education; PHQ-9: Patient Health Questionnaire-9.
Figure 7.
Figure 7. Independent and interactive effects of ultra-processed food and water intake on PHQ-9–based depression. Models adjusted for age, sex, and body mass index. PHQ-9: Patient Health Questionnaire-9.

Tables

Table 1. Baseline Characteristics of All Participants
 
VariableParticipants (n = 4,248)
BMI: body mass index; CI: confidence interval; n: number of subjects; PHQ-9: Patient Health Questionnaire-9; UPF: ultra-processed food.
Age (years), mean (CI)50.8 (50.2–51.5)
Cigarette smoking, % (CI)14.1 (11.9–16.3)
Alcohol drinking, % (CI)18.5 (16.6–20.3)
Gender (males), % (CI)43.8 (42.4–45.4)
BMI (kg/m2), mean (CI)30.1 (29.8–30.5)
PHQ-9 score, mean (CI)3.61 (3.50–3.73)
PHQ-9–based depression prevalence, % (CI)10.9 (10.0–11.8)
UPF intake: % daily calories from added sugar, mean (CI)4.81 (4.74–4.88)
Water intake (g/day), mean (CI)2,743 (2,652–2,835)

 

Table 2. Quartile Based Frequencies of UPF and Water Intake
 
UPF quartileUnweighted frequency (n, %)Weighted frequency (n, %)Water quartileUnweighted frequency (n, %)Weighted frequency (n, %)
n: number of subjects; UPF: ultra-processed food.
11,134 (26.4)36,144,482 (27.9)1966 (22.5)26,910,211 (20.7)
21,079 (25.1)32,235,216 (24.9)21,063 (24.7)30,063,451 (23.2)
31,069 (24.9)31,326,899 (24.2)31,061 (24.7)33,138,565 (25.5)
41,014 (23.6)29,974,104 (23.1)41,210 (28.1)39,731,508 (30.6)
Total4,296129,680,701 (100)Total4,300129,843,735 (100)

 

Table 3. Prevalence of PHQ-9–Based Depression by UPF and Water Intake
 
UPF quartileDepression (%)Water quartileDepression (%)
PHQ-9: Patient Health Questionnaire-9; UPF: ultra-processed food.
110.7115.4
28.729.0
310.7310.2
415.4410.9

 

Table 4. Survey-Weighted Linear Regression of Continuous Predictors of Log-Transformed PHQ-9 Depression Score
 
Predictorβ estimatet valueP value
aStandardized β = +0.19 in sensitivity model. bRounded to 0.00 from SPSS output. BMI: body mass index; PHQ-9: Patient Health Questionnaire-9; UPF: ultra-processed food.
UPF intake+0.17a4.51< 0.0001
Water intake (g/day)0.00b–3.230.0012
Age (years)–0.04–9.39< 0.0001
Male (sex)–0.79–5.00< 0.0001
BMI (kg/m2)+0.053.98< 0.0001
UPF × water intake interaction–0.07–2.380.017

 

Table 5. Sensitivity Analysis: UPF Quartiles and Depression Adjusted for Smoking and Drinking Alcohol
 
VariableP-valueOR (Exp(B))95% CI
BMI: body mass index; CI: confidence interval; OR: odds ratio; UPF: ultra-processed food.
Age< 0.0010.9780.978–0.978
Male (vs. female)< 0.0010.6180.617–0.619
BMI< 0.0011.0211.020–1.021
Drinking alcohol vs. no alcohol< 0.0010.6400.638–0.641
Smoking status
  Never vs. current< 0.0012.3652.361–2.369
  Never vs. former< 0.0011.2571.255–1.259
UPF quartile
  Q2 vs. Q1< 0.0010.9260.925–0.928
  Q3 vs. Q1< 0.0011.1151.113–1.117
  Q4 vs. Q1< 0.0011.4931.491–1.495

 

Table 6. Sensitivity Analysis: Water Intake Quartiles and Depression Adjusted for Smoking and Drinking Alcohol
 
VariableP-valueOR (Exp(B))95% CI
BMI: body mass index; CI: confidence interval; OR: odds ratio; UPF: ultra-processed food.
Age< 0.0010.9760.976–0.976
Male (vs. female)< 0.0010.6200.619–0.620
BMI< 0.0011.0201.020–1.020
Drinking alcohol vs. no alcohol< 0.0010.6640.663–0.665
Smoking status
  Never vs. current< 0.0012.1612.157–2.164
  Never vs. former< 0.0011.2561.254–1.258
UPF quartile
  Q2 vs. Q1< 0.0010.9110.910–0.913
  Q3 vs. Q1< 0.0011.0651.063–1.067
  Q4 vs. Q1< 0.0011.3461.344–1.348
Water quartile
  Q2 vs. Q1< 0.0010.6080.607–0.609
  Q3 vs. Q1< 0.0010.5270.526–0.527
  Q4 vs. Q1< 0.0010.5260.525–0.527

 

Table 7. Sensitivity Analysis: Joint UPF and Water Model Adjusted for Smoking and Drinking Alcohol
 
VariableP-valueOR (Exp(B))95% CI
BMI: body mass index; CI: confidence interval; OR: odds ratio; UPF: ultra-processed food.
Age< 0.0010.9760.976–0.976
Male (vs. female)< 0.0010.6190.618–0.620
BMI< 0.0011.0201.020–1.020
Drinker (vs. non-drinker)< 0.0010.6630.662–0.664
Smoking status
  Never vs. current< 0.0012.1742.171–2.177
  Never vs. former< 0.0011.2571.255–1.258
UPF quartile
  Q2 vs. Q1< 0.0010.8280.826–0.829
  Q3 vs. Q1< 0.0010.8880.886–0.891
  Q4 vs. Q1< 0.0011.0431.040–1.047
Water quartile
  Q2 vs. Q1< 0.0010.5530.552–0.554
  Q3 vs. Q1< 0.0010.4390.438–0.440
  Q4 vs. Q1< 0.0010.4070.406–0.409
UPF × water interaction< 0.0011.0341.034–1.035