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1.
Nutrients ; 12(8)2020 Jul 31.
Article in English | MEDLINE | ID: mdl-32752047

ABSTRACT

Several studies have demonstrated that carotenoid-rich vegetables are useful against cardiovascular diseases (CVDs). However, it is still unclear when a healthy population should start eating these vegetables to prevent CVDs. In this study, we evaluated the role of carotenoids in CVD markers in healthy subjects using age-stratified analysis. We selected 1350 subjects with no history of apparent illness who were undergoing health examinations. We then evaluated the relationship between the serum concentrations of six major carotenoids as well as their total, and nine CVD markers (i.e., body mass index (BMI), pulse wave velocity (PWV), systolic blood pressure (SBP), diastolic blood pressure (DBP), Homeostatic Model Assessment of Insulin Resistance (HOMA-IR), blood insulin, fasting blood glucose (FBG), triglycerides (TGs), and high-density lipoprotein (HDL) cholesterol) using multiple regression analysis. It was found that the total carotenoid level was significantly associated with seven markers other than BMI and FBG in males and with eight markers other than DBP in females. Many of these relationships were independent of lifestyle habits. Many significant relationships were found in young males (aged 20-39) and middle-aged females (aged 40-59). These findings can be used as lifestyle guidance for disease prevention although the causal relationships should be confirmed.


Subject(s)
Cardiovascular Diseases/etiology , Carotenoids/blood , Risk Assessment , Adult , Age Factors , Biomarkers/blood , Blood Glucose/analysis , Blood Pressure/physiology , Body Mass Index , Cardiovascular Diseases/prevention & control , Cholesterol, HDL/blood , Cross-Sectional Studies , Fasting/blood , Female , Healthy Volunteers , Heart Disease Risk Factors , Humans , Insulin/blood , Insulin Resistance/physiology , Life Style , Male , Middle Aged , Pulse Wave Analysis , Regression Analysis , Sex Factors , Triglycerides/blood , Young Adult
2.
Clin Interv Aging ; 12: 515-521, 2017.
Article in English | MEDLINE | ID: mdl-28352164

ABSTRACT

PURPOSE: Prevention, early detection and effective rehabilitation of dysphagia are important issues to be considered in an aging society. Previous studies have shown conflicting findings regarding the association between dysphagia and its potential risk factors, including age, malnutrition, oral conditions, lifestyle and medical history. Herein, we assessed the prevalence and association of dysphagia with potential risk factors in 50- to 79-year-old adults dwelling in a community in Japan. PATIENTS AND METHODS: In this study, there were 532 participants (185 males and 347 females). Participants who responded positively to the question "Do you sometimes choke on drinks/food such as tea and soup?" or those who presented with abnormal repetitive saliva swallowing test findings were diagnosed with dysphagia. The data collected from these participants included the following: number of teeth, occurrence of oral dryness, age, body mass index, serum albumin concentration, smoking, drinking and exercise habits, presence of diseases, such as diabetes mellitus and hypertension, and questions from the Mini-Mental State Examination. RESULTS: Dysphagia was observed in 33 males (17.8%) and 76 females (21.9%). To explore the effect of the potential risk factors on the prevalence of dysphagia, a model was built by multivariate logistic regression analysis. Using the forced entry method, oral dryness (odds ratio [OR] =3.683 and P=0.003 in males; OR =1.797 and P=0.032 in females) and the number of teeth (OR =0.946 and P=0.038 in males) were found to be significantly related to dysphagia. CONCLUSION: This cross-sectional study demonstrated associations between oral conditions and dysphagia. Factors such as oral dryness and number of teeth may contribute to dysphagia more so than aging, lifestyle and comorbidity in community-dwelling adults over the age of 50.


Subject(s)
Deglutition Disorders/epidemiology , Independent Living , Mental Health , Residence Characteristics , Tooth Loss/epidemiology , Age Factors , Aged , Aging , Body Mass Index , Comorbidity , Cross-Sectional Studies , Female , Health Behavior , Humans , Japan/epidemiology , Life Style , Male , Middle Aged , Odds Ratio , Oral Health , Prevalence , Risk Factors
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