Taste Propensity in Obese and Nonobese Older Adults

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ABSTRACTObjectivesTo examine associations between taste propensity and body mass index (BMI) in elderly individuals (≥ 60 years), compare taste propensity between obese and nonobese groups, and explore gender‐related differences to inform dietary interventions.MethodsA cross‐sectional study was conducted with 231 elderly participants (aged ≥ 60 years) in Zanjan city, categorized into obese (n = 80) and nonobese (n = 151) groups. Taste propensity was assessed using a validated food frequency questionnaire (FFQ) evaluating six taste groups: sweet, salty, sour, bitter, umami, and fat. Pearson's correlation and independent samples t‐tests were used to examine relationships between BMI and taste propensity.ResultsInverse correlations were observed between BMI and sweet (r = −0.172, p = 0.009), bitter (r = −0.139, p = 0.035), and umami (r = −0.168, p = 0.010) taste propensities; whereas there were positive correlations between BMI and salty (r = 0.204, p = 0.002) and fat (r = 0.167, p = 0.011) taste scores. Moreover, obese participants showed a lower propensity for sweet and umami tastes (p = 0.049; p < 0.001), but a higher propensity for salty and fat tastes (p = 0.029; p = 0.024) compared to nonobese individuals. A gender difference was observed in umami propensity among obese participants, with women showing a stronger propensity (p = 0.033).ConclusionsObesity in the elderly is associated with altered taste perception, particularly an increased propensity for salty and fatty foods and a decreased propensity for sweet and umami tastes. These findings may inform tailored dietary interventions in older adults.

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Food Calory Intake and Physical Activity in Obesity Risk among College Students in Surabaya City
  • Jul 25, 2024
  • Jurnal Kesehatan Masyarakat
  • Amelia Lorensia + 2 more

Productive age is at the peak of its activities, physical activities carried out tend to be heavier than other ages and one of the characteristics of developed countries is a country that has a high level of health, intelligence, and work productivity, which is influenced by nutritional intake and diet. Diet, excess tend to be owned by obesity, obesity is also included in the condition of malnutrition.The research aimed knowing effect of diet and physical activity on the risk of obesity in students at a university in Surabaya.The method used in this study is case control with 152 obese and non obese adult respondents at a university in Surabaya using a 24-hour recall questionnaire, IPAQ for physical activity, and measurement of BMI (body mass index). The results of the study on average food calorie intake in obese adult respondents were higher than non-obese. The most consumed type of food obesity group (60 people) is chicken meat (mean: 348.55 kcal), while the most consumed food non-obese group (60 people) is white rice (mean: 753.71 kcal). The biggest calories consumed in obese groups (34 people) are pizza (1,925.48 kcal), while those that are most consumed by non-obese groups are white rice. The results of statistical analysis using the chi-square test showed that there were significant differences in food intake between obese adult groups and non-obese adult groups (p=0.000). The results of the analysis of physical activity obtained in the obese group showed that most of them had low physical activity (61.84%). Meanwhile, in the non-obese group, most of them had moderate physical activity (55.26%). Based on the results of the analysis with the Chi-Square Test, with P value of 0.047 was obtained (p value 0.05) so that it could be concluded that there was a significant difference in physical activity between the non-obese and obese respondent groups. The average level of physical activity in non-obese is higher than the obese group. By increasing physical activity and reducing food calorie intake, the risk of obesity in adulthood can be reduced.

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  • Cite Count Icon 46
  • 10.1055/s-0043-113454
Expression of CD4+CD25+Foxp3+ Regulatory T Cells, Interleukin 10 and Transforming Growth Factor β in Newly Diagnosed Type 2 Diabetic Patients.
  • Sep 27, 2017
  • Experimental and Clinical Endocrinology &amp; Diabetes
  • Ning Yuan + 4 more

Recent studies have shown that dysfunction and decrease of regulatory T cells (Tregs) correlates with insulin resistance (IR), one of the most significant mechanisms for type 2 diabetes mellitus (T2DM). To examine potential relationships among Tregs, IR, blood lipid content, and related cytokines, we investigated the frequency of CD4+CD25+Foxp3+ Tregs, as well as expression levels of interleukin 10 (IL-10) and transforming growth factor-β (TGF-β) in newly diagnosed T2DM patients. Fifty-one newly diagnosed T2DM patients and 55 control individuals were enrolled. According to body mass index (BMI), the T2DM patients were grouped into non-obese and obese groups. Blood was collected in ethylene diamine tetraacetic acid (EDTA) anticoagulant tubes for detection of CD4+CD25+Foxp3+ Tregs by flow cytometry. Serum was collected to quantify IL-10 and TGF-β levels by enzyme-linked immunosorbent assay (ELISA). By comparing percentages of Tregs between non-obese and obese groups, correlation with Treg frequency, homeostasis model assessment of insulin resistance (HOMA-IR), IL-10 and TGF-β was examined. The percentage of CD4+CD25+Foxp3+ Tregs in the newly diagnosed T2DM group was significantly lower than in the control group (P<0.01). Further, levels of IL-10 and TGF-β were also lower in the T2DM group (P<0.05). The level of IL-10 was remarkably lower in the obese group than in the non-obese and the control groups (P<0.01), but there was no significant difference between non-obese group and the control group. The level of TGF-β was lower in obese group than in the control group (P<0.05). There was no significant difference between non-obese group and the control group. The frequency of CD4+CD25+Foxp3+ Tregs in the obese group was significantly lower than in the non-obese group (P<0.05). In the obese group, the percentage of Tregs negatively correlated with HOMA-IR and positively correlated with TGF-β (P<0.05). There was no obvious correlation between Treg and HOMA-IR in the non-obese group. The percentage of CD4+CD25+Foxp3+ Tregs and levels of related cytokines IL-10 and TGF-β were precipitously decreased in newly diagnosed T2DM patients. Therefore, the function of Tregs in limiting the proinflammatory milieu represents an important pathogenic mediator of the development of obesity-induced IR in newly diagnosed T2DM patients. Notably, TGF-β may play an important role in this process. Thus, enhancing expression of Tregs may improve IR in newly diagnosed T2DM patients with obesity.

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Advantages of Robot-Assisted Laparoscopic Radical Prostatectomy in Obese Patients: Comparison with the Open Procedure
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  • Korean Journal of Urology
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High-normal free thyroxine level is related with decreased bone mineral density in nonobese male patients with type 2 diabetes over 50 years old.
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  • 10.1111/j.1440-1819.2005.01370.x
Gender differences in association of plasma adiponectin with obesity reflect resultant insulin resistance in non‐diabetic Japanese patients with schizophrenia
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Circulating levels of obestatin and copeptin in obese and nonobese women with polycystic ovary syndrome
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Habitual physical activity and sedentary behaviour in a clinical sample of obese children
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  • Journal of Movement Disorders
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Characteristics of glucose metabolism in non-obese and obese women with polycystic ovarian syndrome
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To investigate characteristics of glucose metabolism of non-obese and obese women with polycystic ovary syndrome (PCOS). From May 2006 to April 2009, 1928 PCOS patients treated in Reproductive Medicine Center of Shandong Provincial Hospital Affiliated to Shandong University were enrolled in this study, which were divided into 901 cases [body mass index (BMI) ≥ 25 kg/m²] in obese group and 1027 cases in non-obese (BMI < 25 kg/m(2)) group. The prevalence of type 2 diabetes mellitus (T2DM), oral glucose tolerance test, impaired fasting glucose (IFG), impaired glucose tolerance (IGT) were compared between the two groups. (1) Blood glucose levels: at the time of fasting, 30, 60, 120 and 180 minutes, the levels of glucose were (5.3 ± 1.1), (9.0 ± 2.4), (9.3 ± 4.4), (7.5 ± 2.8), (5.3 ± 1.8) mmol/L in obese group and (5.0 ± 0.8), (8.4 ± 3.5), (8.0 ± 4.2), (6.5 ± 3.2), (4.9 ± 1.6) mmol/L in non-obese group, which all showed statistical difference at every time point (P < 0.01). (2)The level of insulin: at the time of fasting, 30, 60, 120 min, the level of insulin were (13 ± 7), (81 ± 51), (102 ± 65), (83 ± 63) mU/L in obese group and (8 ± 5), (57 ± 35), (62 ± 44), (46 ± 39) mU/L in non-obese group, which all showed statistical difference at every time point (P < 0.01). However, at time point of 180 minutes, the level of insulin did not exhibit significantly difference between obese and non-obese group (P > 0.05). (3) The prevalence of abnormal glucose metabolism: the rate of IFG was 4.98% (96/1928). The rate of abnormal glucose tolerance was 23.08% (445/1928). The rate of IGT were 13.05% (134/1027) in non-obese group and 24.20% (218/901) in obese group, which also showed remarkable difference (P < 0.01). The rate of T2DM were 2.53% (26/1027) in non-obese group and 7.44% (67/901) in obese group, which reached significant difference (P < 0.01). Abnormal glucose metabolism was observed more frequently in overweight or obese PCOS women.

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Significant Differences in Effects of Sitagliptin Treatment on Body Weight and Lipid Metabolism Between Obese and Non-Obese Patients With Type 2 Diabetes
  • Jan 1, 2014
  • Journal of Endocrinology and Metabolism
  • Hisayuki Katsuyama + 5 more

Background: We previously reported that HbA1c levels and body weight significantly decreased by 0.6% and by 0.8 kg, respectively, at 6 months after sitagliptin treatment started. We found a significant and negative correlation between change in body weight and body mass index (BMI) at baseline. Methods: We retrospectively sub-analyzed effects of 6-month treatment with sitagliptin on glucose and lipid metabolism, blood pressure, body weight and renal function in patients with type 2 diabetes, by dividing 173 type 2 diabetic subjects into obese group (BMI is greater than or equal to 25) and non-obese group (BMI &lt; 25). Results: At baseline, obese group was significantly younger than non-obese group. Diastolic blood pressure, low-density lipoprotein-cholesterol (LDL-C), triglyceride (TG), and estimated glomerular filtration rate (eGFR) in obese group were significantly higher than in non-obese group. Serum high-density lipoprotein-cholesterol (HDL-C) in obese group was significantly lower than in non-obese group. At 6 months after the start of sitagliptin use, body weight significantly decreased in obese group, while body weight did not change in non-obese group. HbA1c significantly decreased in both groups. Serum HDL-C significantly decreased in obese group, while serum HDL-C did not change in non-obese group. Serum TG significantly decreased in obese group, while serum TG significantly increased in non-obese group. Change in serum TG was significantly and inversely correlated with BMI at baseline. Conclusions: We found significant differences in effects of sitagliptin treatment on body weight and lipid metabolism between obese and non-obese patients with type 2 diabetes. Sitagliptin improved HbA1c regardless of the existence of obesity. In obese people, sitagliptin significantly reduced body weight and serum TG. Sitagliptin reduced serum TG in a baseline-BMI-dependent manner. J Endocrinol Metab. 2014;4(5-6):136-142 doi: http://dx.doi.org/10.14740/jem243w

  • Research Article
  • 10.14740/jem.v4i5.243
Significant Differences in Effects of Sitagliptin Treatment on Body Weight and Lipid Metabolism Between Obese and Non-Obese Patients With Type 2 Diabetes
  • Jan 1, 2014
  • Journal of Endocrinology and Metabolism
  • Hisayuki Katsuyama + 5 more

Background: We previously reported that HbA1c levels and body weight significantly decreased by 0.6% and by 0.8 kg, respectively, at 6 months after sitagliptin treatment started. We found a significant and negative correlation between change in body weight and body mass index (BMI) at baseline. Methods: We retrospectively sub-analyzed effects of 6-month treatment with sitagliptin on glucose and lipid metabolism, blood pressure, body weight and renal function in patients with type 2 diabetes, by dividing 173 type 2 diabetic subjects into obese group (BMI is greater than or equal to 25) and non-obese group (BMI < 25). Results: At baseline, obese group was significantly younger than non-obese group. Diastolic blood pressure, low-density lipoprotein-cholesterol (LDL-C), triglyceride (TG), and estimated glomerular filtration rate (eGFR) in obese group were significantly higher than in non-obese group. Serum high-density lipoprotein-cholesterol (HDL-C) in obese group was significantly lower than in non-obese group. At 6 months after the start of sitagliptin use, body weight significantly decreased in obese group, while body weight did not change in non-obese group. HbA1c significantly decreased in both groups. Serum HDL-C significantly decreased in obese group, while serum HDL-C did not change in non-obese group. Serum TG significantly decreased in obese group, while serum TG significantly increased in non-obese group. Change in serum TG was significantly and inversely correlated with BMI at baseline. Conclusions: We found significant differences in effects of sitagliptin treatment on body weight and lipid metabolism between obese and non-obese patients with type 2 diabetes. Sitagliptin improved HbA1c regardless of the existence of obesity. In obese people, sitagliptin significantly reduced body weight and serum TG. Sitagliptin reduced serum TG in a baseline-BMI-dependent manner. J Endocrinol Metab. 2014;4(5-6):136-142 doi: http://dx.doi.org/10.14740/jem243w

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