scholarly journals Development and validation of dietary and lifestyle insulinemic indices among Iranian adult population

2022 ◽  
Vol 19 (1) ◽  
Author(s):  
Ebrahim Mokhtari ◽  
Farshad Teymoori ◽  
Hossein Farhadnejad ◽  
Parvin Mirmiran ◽  
Fereidoun Azizi
Keyword(s):  
Insulin Resistance ◽  
Dietary Habits ◽  
Serum Insulin ◽  
Adult Population ◽  
Linear Regression Analysis ◽  
Iranian Population ◽  
Model Assessment ◽  
Dietary Intakes ◽  
Dietary Index ◽  
Diet And Lifestyle

Abstract Background There is no study regarding developing a valid index to predict insulin-related disorders in the Iranian population based on their dietary habits and lifestyle. In the current study, we aimed to develop and validate insulinemic potential indices of diet and lifestyle in Iranian adults. Methods In this cross-sectional study, we analysed data of 1063 men and women aged ≥ 25 years among participants of the examination three of Tehran lipid and glucose study (TLGS) (2006–2008). Dietary intakes were assessed using a valid semi-quantitative food frequency questionnaire. Dietary and lifestyle indices were developed using stepwise linear regression analysis based on dietary intakes, body mass index, and physical activity data. Fasting serum insulin concentration and homeostatic model assessment for insulin resistance (HOMA-IR) were used as biomarkers of hyperinsulinemia (HI) and insulin resistance (IR). Validation analyses were performed in examination four of TLGS. Results We developed four indices related to insulin homeostasis, including the dietary index for HI (DIH), the dietary index for IR (DIR), the lifestyle index for HI (LIH), and the lifestyle index for IR (LIR). Based on multivariable-adjusted models, the relative values of the biomarker in subjects in the highest quartile of indices were 45% for LIH (95% CI 1.36–1.55, Ptrend < 0.001), 28% for DIR (95% CI 1.13–1.42, Ptrend = 0.019), and 51% for LIR (95% CI 1.41–1.61, Ptrend < 0.001), higher than those in the reference quartile, respectively. Conclusion We designed and validated indices to determine the insulin potential of diet and lifestyle for the Iranian population, according to Iran’s demographic and dietary intake characteristics.

scholarly journals Sex differences in the link between blood cobalt concentrations and insulin resistance in adults without diabetes

2021 ◽  
Vol 26 (1) ◽  
Author(s):  
Yong Chen ◽  
Haobin Huang ◽  
Xiaowei He ◽  
Weiwei Duan ◽  
Xuming Mo
Keyword(s):  
Insulin Resistance ◽  
Linear Regression ◽  
Linear Models ◽  
Fasting Glucose ◽  
Adult Population ◽  
Linear Regression Analysis ◽  
Cobalt Concentration ◽  
Model Assessment ◽  
Homeostatic Model Assessment ◽  
Cobalt Exposure

Abstract Background Little is known about the effects of environmental cobalt exposure on insulin resistance (IR) in the general adult population. We investigated the association between cobalt concentration and IR. Methods A total of 1281 subjects aged more than 20 years with complete blood cobalt data were identified from the National Health and Nutrition Examination Survey (NHANES) 2015–2016 cycle. Blood cobalt levels were analyzed for their association with IR among all populations and subgroups by sex. Regression coefficients and 95% confidence intervals (CIs) of blood cobalt concentrations in association with fasting glucose, insulin and homeostatic model assessment of insulin resistance (HOMA-IR) were estimated using multivariate linear regression after adjusting for age, sex, ethnicity, alcohol consumption, body mass index, education level, and household income. A multivariate generalized linear regression analysis was further carried out to explore the association between cobalt exposure and IR. Results A negative association between blood cobalt concentration (coefficient = − 0.125, 95% CI − 0.234, − 0.015; P = 0.026) and HOMA-IR in female adults in the age- and sex-adjusted model was observed. However, no associations with HOMA-IR, fasting glucose, or insulin were found in the overall population. In the generalized linear models, participants with the lowest cobalt levels had a 2.74% (95% CI 0.04%, 5.50%) increase in HOMA-IR (P for trend = 0.031) compared with subjects with the highest cobalt levels. Restricted cubic spline regression suggested that a non-linear relationship may exist between blood cobalt and HOMA-IR. Conclusions These results provide epidemiological evidence that low levels of blood cobalt are negatively associated with HOMA-IR in female adults.

scholarly journals Association of the insulinemic potential of diet and lifestyle with risk of diabetes incident in Tehranian adults: a population based cohort study

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Hossein Farhadnejad ◽  
Ebrahim Mokhtari ◽  
Farshad Teymoori ◽  
Mohammad Hassan Sohouli ◽  
Nazanin Moslehi ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Population Based ◽  
Dietary Intakes ◽  
Dietary Index ◽  
Increased Risk ◽  
The Mean ◽  
Adjusted Model ◽  
Diet And Lifestyle ◽  
Multivariable Adjusted Model

Abstract Background We aimed to assess the associations between insulinemic potential of diet and lifestyle and the risk of diabetes incident, using four empirical indices including the empirical dietary index for hyperinsulinemia (EDIH), the empirical dietary index for insulin resistance (EDIR), empirical lifestyle index for hyperinsulinemia (ELIH), and empirical lifestyle index for insulin resistance (ELIR). Methods A total of 3734 individuals, aged ≥ 20 years old, who were free of diabetes at baseline (2008–2011), were followed for 6.2 years (2015–2018) to ascertain incident diabetes. The food frequency questionnaire was used to collect dietary intakes at baseline. Odds ratio (OR) of diabetes were calculated across quartiles of EDIH, EDIR, ELIH, and ELIR using logistic regression, which controlled for confounding factors. Results The mean ± SD age and BMI of individuals (45.1 % male) were 40.9 ± 12.0 years and 27.1 ± 4.1 kg/m2, respectively. At the end of follow-up, 253 (6.8 %) diabetes cases were identified. In the multivariable-adjusted model, individuals in the highest quartile of EDIR (1.58;95 %CI:1.03–2.44, P for trend = 0.025), ELIH (1.89;95 %CI:1.20–2.97, P for trend = 0.004), and ELIR (1.74; 95 %CI:1.11–2.72, P for trend = 0.031) had increased the risk of diabetes. However, no significant associations were found between the score of EDIH and diabetes incident. Conclusions Higher adherence to EDIR, ELIH, and ELIR scores were associated with increased risk of diabetes, while no significant association was found between EDIH score and diabetes incident.

scholarly journals The association of insulinemic potential of diet and lifestyle with the risk of insulin-related disorders: a prospective cohort study among participants of Tehran Lipid and Glucose Study

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Ebrahim Mokhtari ◽  
Hossein Farhadnejad ◽  
Farshad Teymoori ◽  
Parvin Mirmiran ◽  
Fereidoun Azizi
Keyword(s):  
Insulin Resistance ◽  
Dietary Intakes ◽  
Β Cells ◽  
Β Cell ◽  
Food Frequency ◽  
Cell Dysfunction ◽  
The Mean ◽  
Diet And Lifestyle ◽  
Activity Information ◽  
Insulin Insensitivity

Abstract Background We aim to assess the association of empirical dietary (EDIH) and lifestyle (ELIH) index for hyperinsulinemia with the risk of insulin resistance, hyperinsulinemia, insulin sensitivity, and β-cell dysfunction in Iranian adults. Methods In this prospective study, a total of 1244 men and women aged ≥ 20 years were selected among participants of the Tehran lipid and glucose study and followed for 3.2 years. Dietary intakes were assessed using a valid semi-quantitative food frequency questionnaire. Dietary and lifestyle insulinemic potential indices were calculated using dietary intake, body mass index, and physical activity information. Multivariable logistic regression was used to estimate the associated risk of a 3-year incidence of insulin-related disorders. Results The mean ± SD age and BMI of all eligible participants (42.7% males) were 43.0 ± 13.0 and 27.4 ± 4.9 in the study's baseline. After adjusting for all potential confounders, participants in the highest tertile of ELIH score had a greater risk of developing hyperinsulinemia (OR:2.42, 95%CI:1.52–3.86, P for trend =  < 0.001), insulin resistance (OR:2.71, 95%CI:1.75–4.18, P for trend =  < 0.001) and insulin insensitivity (OR:2.65, 95%CI: 1.72–4.10, P for trend =  < 0.001) compared with those in the lowest tertile. However, the risk of incident β-cell dysfunction was lower in individuals with a higher score of ELIH in comparison to those with the lowest score (OR:0.30, 95%CI:0.19–0.45, P for trend =  < 0.001). Conclusions Empirical lifestyle index for hyperinsulinemia was directly associated with insulin resistance, insulin insensitivity, and hyperinsulinemia and was inversely associated with β-cells dysfunction.

scholarly journals Effects of probiotic and synbiotic supplementation on insulin resistance in women with polycystic ovary syndrome: a meta-analysis

2021 ◽  
Vol 49 (7) ◽  
pp. 030006052110317
Author(s):  
Chenyun Miao ◽  
Qingge Guo ◽  
Xiaojie Fang ◽  
Yun Chen ◽  
Ying Zhao ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Polycystic Ovary Syndrome ◽  
Confidence Interval ◽  
Polycystic Ovary ◽  
Serum Insulin ◽  
Meta Analysis ◽  
Mean Difference ◽  
Model Assessment ◽  
Ovary Syndrome ◽  
Synbiotic Supplementation

Objective This meta-analysis evaluated the effect of probiotics and synbiotics on insulin resistance in patients with polycystic ovary syndrome (PCOS). Methods A systematic search was performed to identify all relevant publications listed on the electronic databases (PubMed®, Web of Science, Embase® and China National Knowledge Infrastructure) between inception and 30 October 2020. All statistical analyses were performed on randomized controlled trials (RCTs) using RevMan version 5.3 software provided by the Cochrane Collaboration. Results A total of 486 patients from seven RCTs were included in the meta-analysis. Probiotic and synbiotic supplementation appeared to improve levels of homeostatic model assessment of insulin resistance (mean difference = –0.37; 95% confidence interval –0.69, –0.05) and serum insulin (standardized mean difference = –0.66; 95% confidence interval –1.19, –0.12). The results failed to show any influence of probiotic and synbiotic supplementation on body mass index, waist circumference, hip circumference and fasting blood sugar. Conclusions Probiotics and synbiotics appear to have a partially beneficial effect on indices of insulin resistance in patients with PCOS.

scholarly journals Dietary determinants of hepatic fat content and insulin resistance in overweight/obese children: a cross-sectional analysis of the Prevention of Diabetes in Kids (PREDIKID) study

2019 ◽  
Vol 121 (10) ◽  
pp. 1158-1165 ◽  
Author(s):  
Lide Arenaza ◽  
María Medrano ◽  
Maddi Oses ◽  
Inge Huybrechts ◽  
Ignacio Díez ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Dietary Intake ◽  
Dietary Habits ◽  
Sugar Content ◽  
Model Assessment ◽  
Obese Children ◽  
Cross Sectional ◽  
Alcoholic Fatty Liver ◽  
Sugar Intake ◽  
Hepatic Fat

AbstractPaediatric non-alcoholic fatty liver disease has increased in parallel with childhood obesity. Dietary habits, particularly products rich in sugars, may influence both hepatic fat and insulin resistance (homeostatic model assessment for insulin resistance (HOMA-IR)). The aim of the study was to examine the association of the consumption of foods and food components, dairy desserts and substitutes (DDS), sugar-sweetened beverages (SSB), as well as total and added sugars, with hepatic fat and HOMA-IR. Dietary intake (two non-consecutive 24 h-recalls), hepatic fat (MRI) and HOMA-IR were assessed in 110 overweight/obese children (10·6 (sd 1·1) years old). Linear regression analyses were used to examine the association of dietary intake with hepatic fat and HOMA-IR adjusted for potential confounders (sex, age, energy intake, maternal educational level, total and abdominal adiposity and sugar intake). The results showed that there was a negative association between cereal intake and hepatic fat (β=–0·197, P<0·05). In contrast, both SSB consumption (β=0·217; P=0·028) and sugar in SSB (β=0·210, P=0·035), but not DDS or sugar in DDS or other dietary components, were positively associated with hepatic fat regardless of potential confounders including total sugar intake. In conclusion, cereal intake might decrease hepatic fat, whereas SSB consumption and its sugar content may increase the likelihood of having hepatic steatosis. Although these observations need to be confirmed using experimental evidence, these results suggest that healthy lifestyle intervention programs are needed to improve dietary habits as well as to increase the awareness of the detrimental effects of SSB consumption early in life.

Fasting serum bile acids concentration is associated with insulin resistance independently of diabetes status

2019 ◽  
Vol 57 (8) ◽  
pp. 1218-1228
Author(s):  
Sang-Guk Lee ◽  
Yong-ho Lee ◽  
Eunhye Choi ◽  
Yonggeun Cho ◽  
Jeong-Ho Kim
Keyword(s):  
Insulin Resistance ◽  
Bile Acids ◽  
Linear Regression Analysis ◽  
Metabolic Effects ◽  
Model Assessment ◽  
Fasting Serum ◽  
Mean Values ◽  
Entire Cohort ◽  
Diabetic Status ◽  
Diabetes Status

Abstract Background Bile acids (BAs) have been demonstrated to exert a variety of metabolic effects and alterations in BAs have been reported in patients with obesity, insulin resistance (IR) and type 2 diabetes mellitus (T2DM). However, it is unclear which metabolic condition is the main contributor to alterations in BAs. In this study, we investigate the associations between different BA profiles with glycemia, obesity or IR status. Methods Fasting serum concentrations of 15 BA species were determined in a total of 241 individuals (71 drug-naïve patients with T2DM, 95 patients with impaired fasting glucose [IFG], and 75 healthy controls. Results A comparison of the mean values of the BAs revealed no significant differences between normoglycemic controls and patients with IFG or T2DM. However, when the entire cohort was divided according to the presence of IR as determined by a homeostasis model assessment of insulin resistance (HOMA-IR) value >2.5, the levels of total BA and most species of BAs were significantly higher in patients with IR than in patients without. In the correlation analysis, most species of BAs, as well as total BA, were significantly associated with HOMA-IR levels. Furthermore, when the subjects were divided into four groups according to IR and diabetic status, subjects with IR had significantly higher total BAs than participants without IR both in diabetic and non-diabetic groups. Ultimately, multiple linear regression analysis identified HOMA-IR as the only significant contributor to most serum BA species. Conclusions Our findings support the essential role of IR in regulating BA metabolism and that this effect is independent of diabetic status.

scholarly journals Visfatin levels in non-obese, obese, and insulin resistant adolescents

2017 ◽  
Vol 56 (5) ◽  
pp. 291
Author(s):  
Indra Ihsan ◽  
Eka Agustia Rini ◽  
Rismawati Yaswir
Keyword(s):  
Insulin Resistance ◽  
Adipose Tissue ◽  
Serum Insulin ◽  
Enzyme Linked Immunosorbent Assay ◽  
Model Assessment ◽  
Fasting Serum ◽  
Obese Adolescents ◽  
Insulin Resistant ◽  
Resistant Group ◽  
Visfatin Level

Background Adipose tissue is not merely a site for energy storage, but is also the largest endocrine organ, secreting various adipocytokines. Plasma visfatin, an adipocytokine predominantly secreted from visceral adipose tissue, has insulin-mimetic effects, and has been closely linked to insulin resistance.Objective To compare plasma visfatin levels between obese and non-obese adolescents, as well as between obese adolecents with and without insulin resistance.Methods This cross-sectional study was conducted in students who attended three senior high schools in Padang. Subjects comprised 28 obese and 28 non-obese adolescents. The age of the subjects ranged from 14-18 years. Obesity criteria were based on body mass index (BMI) measurements. Fasting serum glucose level was measured by glucose hexokinase photometry and serum insulin was measured by chemiluminesence immunoassay. Plasma visfatin was measured by enzyme-linked immunosorbent assay (ELISA). The insulin resistance index was estimated from fasting serum insulin and glucose levels using the homeostatic model assessment for insulin resistance (HOMA-IR). Differences in the variables were tested using independent T-test and Mann-Whitney test, depending on the distribution of the variables.Results The mean plasma visfatin level was significantly higher in the obese than in the control group [2.55 (SD 1.54) vs. 1.61 (SD 0.64) ng/mL, respectively; (P=0.005)]. The insulin resistant group had significantly higher mean plasma visfatin level than the non-resistant group [3.61 (SD 1.59) vs. 1.96 (SD 1.18) ng/mL, respectively; (P=0.004)].Conclusion Obese adolescents with insulin resistance have signifcantly higher plasma visfatin levels compared to those without insulin resistance.

scholarly journals Legume consumption and its association with fasting glucose, insulin resistance and type 2 diabetes in the Indian Migration Study

2016 ◽  
Vol 19 (16) ◽  
pp. 3017-3026 ◽  
Author(s):  
Preet K Dhillon ◽  
Liza Bowen ◽  
Sanjay Kinra ◽  
Ankalmadugu Venkatsubbareddy Bharathi ◽  
Sutapa Agrawal ◽  
...  
Keyword(s):  
Physical Activity ◽  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Large Scale ◽  
Fasting Glucose ◽  
Epidemiological Studies ◽  
Model Assessment ◽  
Dietary Intakes ◽  
Migration Status

AbstractObjectiveLegume consumption is associated with lower fasting glucose (FG) and insulin levels in nutrition trials and lower CVD mortality in large-scale epidemiological studies. In India, legumes are widely consumed in various preparations, yet no epidemiological study has evaluated the association of legumes with FG levels, insulin resistance and diabetes risk. The present study aimed to fill this gap.DesignFasting blood samples, in-person interviews to obtain information on demographic/socio-economic factors, physical activity, alcohol and tobacco use, and anthropometric measurements were collected. Dietary intakes were assessed by an interviewer-administered, validated, semi-quantitative FFQ.SettingLucknow, Nagpur, Hyderabad and Bangalore, India.SubjectsMen and women (n 6367) aged 15–76 years – urban residents, urban migrants and their rural siblings.ResultsIn multivariate random-effects models adjusted for age, BMI, total energy intake, macronutrients, physical activity and rural/migration status, daily legume consumption was not associated with FG (P-for-trend=0·78), insulin resistance (homeostasis model assessment score; P-for-trend=0·73) or the prevalence of type 2 diabetes mellitus (P-for-trend=0·41). Stratified analyses by vegetarian diet and migration status did not change the findings. Inverse associations between legumes and FG emerged for participants with lower BMI and higher carbohydrate, protein, fat and sugar intakes.ConclusionsAlthough legumes are essential in traditional Indian diets, as well as in prudent and Mediterranean diets in the West, we did not find an association between legumes and markers of glycaemic control, insulin resistance or diabetes, except for subgroups based on BMI and macronutrient intake. The ubiquitous presence and complexity of legume preparations in Indian diets may contribute to these findings.

scholarly journals Adiponectin, an Adipocyte-Derived Protein, Predicts Future Insulin Resistance: Two-Year Follow-Up Study in Japanese Population

2004 ◽  
Vol 89 (1) ◽  
pp. 87-90 ◽  
Author(s):  
Yukihiro Yamamoto ◽  
Hiroshi Hirose ◽  
Ikuo Saito ◽  
Kanako Nishikai ◽  
Takao Saruta
Keyword(s):  
Insulin Resistance ◽  
Body Weight ◽  
Lipid Profile ◽  
Adiponectin Level ◽  
Serum Insulin ◽  
Resistance Index ◽  
Serum Adiponectin ◽  
Model Assessment ◽  
Homeostasis Model Assessment ◽  
Insulin Resistance Index

It has been reported that the serum adiponectin level was negatively correlated with body mass index (BMI), insulin resistance index, and triglycerides and was positively correlated with high-density lipoprotein cholesterol in several cross-sectional studies. However, the causal relationship has not been elucidated. We investigated whether the baseline adiponectin level could predict subsequent changes in insulin resistance, lipid profile, or body weight in a 2-yr longitudinal study. This study included 590 male Japanese subjects, aged 30–65 yr, who received annual health checkups in both 2000 and 2002. Blood pressure, heart rate, and anthropometric and metabolic parameters, including serum insulin and adiponectin levels, were determined. The insulin resistance index was calculated based on homeostasis model assessment. Baseline adiponectin level was not correlated with the subsequent change in lipid profile or BMI in 2 yr after adjustment for each baseline value. However, the baseline adiponectin level was negatively correlated with subsequent changes in insulin and insulin resistance index based on homeostasis model assessment, even after adjustment for change in BMI (r = −0.162 and r = −0.140, respectively). These findings suggest that the serum adiponectin concentration predicts subsequent changes in insulin resistance, but not in lipid profile or body weight.

scholarly journals High-Circulating Leptin Levels Are Associated with Greater Risk of Hypertension in Men Independently of Body Mass and Insulin Resistance: Results of an Eight-Year Follow-Up Study

2008 ◽  
Vol 93 (10) ◽  
pp. 3922-3926 ◽  
Author(s):  
F. Galletti ◽  
L. D'Elia ◽  
G. Barba ◽  
A. Siani ◽  
F. P. Cappuccio ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Body Mass ◽  
Serum Insulin ◽  
Univariate Analysis ◽  
Assessment Model ◽  
Model Assessment ◽  
Male Population ◽  
Baseline Serum ◽  
Assessment Index

Background: We previously reported a significant association between plasma leptin (LPT) concentration and blood pressure (BP), which was partly independent of serum insulin levels and insulin resistance. The aims of this study were to detect whether serum LPT levels predict the development of hypertension (HPT) in the 8-yr follow-up investigation of a sample of an adult male population (the Olivetti Heart Study), and to evaluate the role of body mass index (BMI) and insulin resistance in this putative association. Patients and Methods: The study population was made up of 489 untreated normotensive subjects examined in 1994–1995 (age: 50.1 ± 6.7 yr; BMI: 26.3 ± 2.8 kg/m2; BP: 120 ± 10/78 ± 6 mm Hg; and homeostatic model assessment index: 2.1 ± 1.6). Results: The HPT incidence over 8 yr was 35%. The participants with incident HPT had similar age but higher BMI (P &lt; 0.001), serum LPT (P &lt; 0.001), and BP (P &lt; 0.01) at baseline. One sd positive difference in baseline serum LPT log was associated at univariate analysis with a 49% higher rate of HPT [95% confidence interval (CI) 22–83; P &lt; 0.001]). In three different models of multivariable logistical regression analysis, LPT was respectively associated with a 41% greater risk to develop HPT (95% CI 15–74; P &lt; 0.001) upon adjustment for age and baseline BP, with a 48% (95% CI 20–81) greater risk when adding the homeostatic assessment model index to the model, and with 33% greater risk (95% CI 6–67; P &lt; 0.02) upon adjustment for BMI. Conclusions: In this sample of originally normotensive men, circulating LPT level was a significant predictor of the risk to develop HPT over 8 yr, independently of BMI and insulin resistance.

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