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"Food Preferences"

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"Food Preferences"

Original Articles
Background
Smoking can reduce taste sensitivity, the ability to sense various tastes, and diet quality and can increase the incidence of diseases such as hypertension. This study aimed to analyze the association between the smoking amount, subjective salt preference, and salt-related eating behaviors.
Methods
Data of more than 16 million individuals from the Korean Community Health Survey were used. Forest plots were drawn to compare the cumulative odds ratios of salt taste preference and salt-related eating behaviors, adjusted for sex, age, body mass index, education level, household income, marital status, and drinking status at various smoking levels.
Results
Subjective salt preference and salt-related eating behaviors increased with smoking amount; the adjusted odds ratios (AORs) for smoking >20 cigarettes were higher than those for smoking <20 cigarettes. For daily smokers, the AOR was 1.27 (95% confidence interval [CI], 1.22–1.31) for 1–5 cigarettes per day and 1.68 (95% CI, 1.65–1.71) for 16–20 cigarettes per day (P<0.001). Smokers were more likely to have more frequent salt-related eating behaviors than nonsmokers.
Conclusion
The subjective salt preference of smokers was higher than that of nonsmokers. Additionally, smokers used salt or soy sauce and dipped fried food in soy sauce more frequently than nonsmokers, which was also related to smoking amount.

Citations

Citations to this article as recorded by  
  • Effects of opioid blockade on taste perception across smoking status: an analysis of detection thresholds, intensity, and pleasantness
    Justin J. Anker, Mustafa al’Absi
    Journal of Neural Transmission.2025; 132(9): 1411.     CrossRef
  • Cross sectional study on the prevalence and associated factors of iodine status in the population of Lausanne
    Pauline Ducraux, Aurélien Thomas, Maïwenn Perrais, Julien Vaucher, Pedro Marques-Vidal
    Scientific Reports.2025;[Epub]     CrossRef
  • Trend analysis and projection of gastric cancer burden linked to high sodium intake in China, Japan, Republic of Korea, and Mongolia (1990–2021): A comprehensive assessment based on the 2021 global burden of disease study
    Xiaohuang Yang, Shaoxing Chen, Canmei Zhong, Yadong Lai, Fenglin Chen, Ricardas Radisauskas
    PLOS One.2025; 20(12): e0338030.     CrossRef
  • 5,867 View
  • 71 Download
  • 4 Web of Science
  • 3 Crossref
Relationships between Dietary Habits and Allostatic Load Index in Metabolic Syndrome Patients
Ju Young Kim
Korean J Fam Med 2013;34(5):334-346.   Published online September 26, 2013
DOI: https://doi.org/10.4082/kjfm.2013.34.5.334
Background

Allostatic load (AL) measures overall physiological wear and tear on one's body, as a preclinical marker of pathophysiologic processes that precede the onset of disease. We studied the association of dietary habits with AL.

Methods

Consecutive patients visiting a tertiary hospital Health Promotion Center from September 2009 to February 2010, older than 20 years with metabolic syndrome were selected for study (n = 204). By multivariable linear regression analysis, we investigated the association of various dietary habits evaluated by questionnaires.

Results

In male, multivariable linear regression showed a significant negative association between fat preference and AL with BMI ≥ 30 (1st quartile [Q] vs. 2Q: β = -3.71; 95% confidence interval [CI], -6.26 to -1.16), a significant negative association between salt preference and AL with BMI 25-30 (β = -1.36; 95% CI, -2.46 to -0.26), a negative association between appetite control and AL with BMI < 25 (1Q vs. 3Q: β = -1.54; 95% CI, -3.00 to -0.096), a significant positive association between appetite control and AL with BMI 25-30 (1Q vs. 3Q: β = 1.30; 95% CI, 0.12 to 2.48), and a significant positive association between eating in response to food cues and AL in males with BMI 25-30 (1Q vs. 4Q: β = 1.09; 95% CI, 0.020 to 2.15).

Conclusion

Our results suggest that metabolic syndrome patients should be discouraged from eating fat and eating in response to food cues, and should be educated about nutrition and balanced diet.

Citations

Citations to this article as recorded by  
  • Allostatic load and its determinants in a German sample—Results from the Carla cohort
    Eric Priedemann, Alexander Kluttig, Frank Bernhard Kraus, Daniel Sedding, Rafael Mikolajczyk, Amand Führer, Andrey I Egorov
    PLOS One.2025; 20(4): e0321178.     CrossRef
  • The Effect of a 6-Month Exercise Intervention Trial on Allostatic Load in Black Women at Increased Risk for Breast Cancer: the FIERCE Study
    Lucile L. Adams-Campbell, Teletia Taylor, Jennifer Hicks, Jiachen Lu, Chiranjeev Dash
    Journal of Racial and Ethnic Health Disparities.2022; 9(5): 2063.     CrossRef
  • Allostatic Load and Its Impact on Health: A Systematic Review
    Jenny Guidi, Marcella Lucente, Nicoletta Sonino, Giovanni A. Fava
    Psychotherapy and Psychosomatics.2021; 90(1): 11.     CrossRef
  • Evaluation of Nutritional Status and Allostatic Load in Adult Patients With Type 2 Diabetes
    Melahat Sedanur Macit, Nilufer Acar-Tek
    Canadian Journal of Diabetes.2020; 44(2): 156.     CrossRef
  • Gestational diabetes status and dietary intake modify maternal and cord blood allostatic load markers
    Chauntelle Jack-Roberts, Patricia Maples, Betul Kalkan, Kaydine Edwards, Ella Gilboa, Ikhtiyor Djuraev, Shuli Zou, Lori Hoepner, Lawrence Fordjour, Wen-Ching Lee, John Kral, Mudar Dalloul, Xinyin Jiang
    BMJ Open Diabetes Research & Care.2020; 8(1): e001468.     CrossRef
  • Evaluation of Allostatic Load as a Marker of Chronic Stress in Children and the Importance of Excess Weight
    Valeria Calcaterra, Federica Vinci, Giulia Casari, Gloria Pelizzo, Annalisa de Silvestri, Mara De Amici, Riccardo Albertini, Corrado Regalbuto, Chiara Montalbano, Daniela Larizza, Hellas Cena
    Frontiers in Pediatrics.2019;[Epub]     CrossRef
  • Longitudinal Associations between Monetary Value of the Diet, DASH Diet Score and the Allostatic Load among Middle-Aged Urban Adults
    May A. Beydoun, Amelie Nkodo, Marie T. Fanelli-Kuczmarski, Ana I. Maldonado, Hind A. Beydoun, Barry M. Popkin, Michele K. Evans, Alan B. Zonderman
    Nutrients.2019; 11(10): 2360.     CrossRef
  • Current Perspectives for Diabetes and Allostatic Load: The Role of Nutrition
    Melahat S. Macit, Nilüfer Acar-Tek
    Current Nutrition & Food Science.2019; 15(7): 646.     CrossRef
  • Leptin, An Adipokine With Central Importance in the Global Obesity Problem
    Jeffrey I. Mechanick, Shan Zhao, W. Timothy Garvey
    Global Heart.2018; 13(2): 113.     CrossRef
  • A Healthy Lifestyle Score Is Associated with Cardiometabolic and Neuroendocrine Risk Factors among Puerto Rican Adults
    Mercedes Sotos-Prieto, Shilpa N Bhupathiraju, Luis M Falcón, Xiang Gao, Katherine L Tucker, Josiemer Mattei
    The Journal of Nutrition.2015; 145(7): 1531.     CrossRef
  • Comments on Statistical Issues in November 2013
    Yong Gyu Park
    Korean Journal of Family Medicine.2013; 34(6): 434.     CrossRef
  • 6,047 View
  • 43 Download
  • 11 Crossref
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