scholarly journals The relation between dietary phytochemical index and metabolic syndrome and its components in a large sample of Iranian adults: A population-based study

2020 ◽  
Author(s):  
Aazam ahmadi Vasmehjani ◽  
Zahra Darabi ◽  
azadeh Nadjarzadeh ◽  
masoud Mirzaei ◽  
Mahdieh Hosseinzadeh
Keyword(s):  
Metabolic Syndrome ◽  
Energy Intake ◽  
Lower Risk ◽  
Binary Logistic Regression ◽  
Population Based ◽  
Protective Role ◽  
Food Sources ◽  
Health Study ◽  
Plant Foods ◽  
Logistic Regression Models

Abstract Background: Phytochemicals are natural non-nutritive bioactive compounds in plant foods. There is growing agreement that plant foods-based phytochemicals have a protective role against chronic diseases. The purpose of current study was to appraise Dietary Phytochemical Index (DPI) with the risk of metabolic syndrome (MetS) and its components.Methods: This study was conducted on 2326 participants (1097 men and 1220 women), aged 20-70 years of the recruitment phase of Yazd Health Study (YaHS), a population-based cohort study on Iranian adults. Dietary intake was prepared using a validated and reliable food frequency questionnaire. DPI is calculated based on dietary energy derived from phytochemical-rich food sources (kcal)/ total daily energy intake (kcal). The odds ratio of MetS and its components were assessed across DPI quartiles by binary logistic regression models.Results: After adjustment for all potential confounders, the risk of MetS (OR=0.63, 95% CI=0.41-0.96, P=0.03) and elevated blood pressure (OR=0.62, 95% CI=0.40-0.96, P=0.03) in second category of DPI compared to the first significantly decreased. After full adjustment for confounders, women in the highest quartile of DPI compared with the lowest, had 59% lower risk of MetS (OR=0.41, 95% CI=0.22-0.76, P=0.005). In second quartiles of DPI, the risk of MetS decreased by 62% (OR=0.38, 95% CI=0.16-0.90, P=0.02) in participants with normal BMI and 29% in subjects with high BMI (OR=0.71, 95% CI=0.52-0.99, P=0.04), and also 57% in men (OR=0.43, 95%CI=0.23-0.83, P=0.01). Independent of variables including age, sex and total energy intake, subjects in second and fourth quartiles of DPI had 30% and 25% lower risk of abdominal obesity, respectively.Conclusions: Greater adherence to phytochemical-rich diet could reduce odds of MetS and some components especially in women. Further studies with intervention approaches are required to discover causal relations and relevant underlying mechanisms.

scholarly journals The relation between dietary phytochemical index and metabolic syndrome and its components in a large sample of Iranian adults: a population-based study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Azam Ahmadi Vasmehjani ◽  
Zahra Darabi ◽  
Azadeh Nadjarzadeh ◽  
Masoud Mirzaei ◽  
Mahdieh Hosseinzadeh
Keyword(s):  
Metabolic Syndrome ◽  
Energy Intake ◽  
Lower Risk ◽  
Population Based ◽  
Cross Sectional Study ◽  
Food Sources ◽  
Protective Effects ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Second Category

Abstract Background Despite the protective effects of foods being rich in phytochemicals against chronic diseases, this issue is still poorly understood. The aim of this study was to investigate the association between Dietary Phytochemical Index (DPI) and metabolic syndrome (MetS) and its components. Methods This cross-sectional study focused on adults aged between 20 and 70years. The dietary intake was assessed using a validated and reliable food frequency questionnaire. DPI was calculated based on dietary energy, derived from phytochemical-rich food sources (kcal) per total daily energy intake (kcal). The odds ratio of MetS and its components were assessed across DPI quartiles by logistic regression models. Results After adjustment for all potential confounders, the risk of MetS (OR: 0.63, 95% CI = 0.41–0.96) and elevated blood pressure (OR: 0.62, 95% CI = 0.40–0.96) in the second category of DPI decreased significantly as compared to that in the first category. Subjects in the second and fourth quartiles of DPI with adjusting for age, sex and total energy intake revealed 30 and 25% lower risk of abdominal obesity, respectively. After full adjustment for confounders, the analysis stratified by sex showed women in the highest quartile of DPI had 59% lower risk of MetS (OR: 0.41, 95% CI = 0.22–0.76) as compared to those in the lowest quartile of DPI. Conclusions Greater adherence to phytochemical-rich diet could reduce odds of MetS and some components, especially in women. Further studies with intervention approaches are recommended.

Association between unhealthy plant-based diets and the metabolic syndrome in adult men and women: a population-based study in South Korea

2020 ◽  
pp. 1-14 ◽  
Author(s):  
Hyunju Kim ◽  
Kyueun Lee ◽  
Casey M. Rebholz ◽  
Jihye Kim
Keyword(s):  
Metabolic Syndrome ◽  
Metabolic Diseases ◽  
Population Based ◽  
Healthy Plant ◽  
Dietary Intakes ◽  
Plant Foods ◽  
Logistic Regression Models ◽  
Korean Adults ◽  
The Metabolic Syndrome ◽  
Potential Risk Factors

Abstract No studies have investigated the associations between established plant-based diet indices and the metabolic syndrome (MetS). We evaluated the associations between an overall plant-based diet index (PDI), healthy PDI (hPDI), unhealthy PDI (uPDI) and the MetS in a nationally representative sample using data from 14 450 Korean adults (≥19 years) in the Korea National Health and Nutrition Examination Survey 2012–2016. Dietary intakes were assessed by a semi-quantitative FFQ. In the PDI, all plant foods received positive scores. In the hPDI, only healthy plant foods received positive scores. In the uPDI, only unhealthy plant foods received positive scores. All indices reverse scored animal food intake. Multivariable logistic regression models were used to examine the associations between three PDI and the MetS by sex, adjusting for potential risk factors. A total of 23·3 % of Korean adults had the MetS. In the overall study population, individuals in the highest quintile of uPDI had greater odds (OR 1·54, 95 % CI 1·28, 1·86, Ptrend < 0·001) of the MetS than those in the lowest quintile. Higher uPDI score was associated with higher odds of hypertriacylglycerolaemia in men and abdominal obesity, high fasting glucose and hypertriacylglycerolaemia in women. No significant associations were observed between PDI, hPDI and the MetS. Greater adherence to unhealthy plant-based diets was associated with greater odds of the MetS and its components suggesting the importance of the quality of plant-based diet in South Korean adults. Sex differences may be considered when recommending plant-based diets for the prevention and management of metabolic diseases.

scholarly journals Consumption of dietary nuts in midlife and risk of cognitive impairment in late-life: the Singapore Chinese Health Study

2020 ◽  
Author(s):  
Yi-Wen Jiang ◽  
Li-Ting Sheng ◽  
Lei Feng ◽  
An Pan ◽  
Woon-Puay Koh
Keyword(s):  
Fatty Acids ◽  
Cognitive Impairment ◽  
Lower Risk ◽  
Unsaturated Fatty Acids ◽  
Late Life ◽  
Population Based ◽  
Health Study ◽  
Logistic Regression Models ◽  
Singapore Chinese ◽  
State Examination

Abstract Background evidence from prospective studies investigating the association between consumption of nuts in midlife and risk of cognitive impairment in late life is limited. Methods this study analysed data from 16,737 participants in a population-based cohort, the Singapore Chinese Health Study. Intake of nuts was assessed using a validated food-frequency questionnaire at baseline (1993–1998), when participants were 45–74 years old (mean age = 53.5 years). Cognitive function was tested using the Singapore modified Mini-Mental State Examination during the third follow-up visit (2014–2016), when participants were 61–96 years old (mean age = 73.2 years). Cognitive impairment was defined using education-specific cut-off points. Logistic regression models were used to estimate the odds ratio (OR) and the 95% confidence interval (CI) for the association between intake and risk of cognitive impairment. Results cognitive impairment was identified in 2,397 (14.3%) participants. Compared with those who consumed &lt;1 serving/month of nuts, participants who consumed 1–3 servings/month, 1 serving/week and ≥2 servings/week had 12% (95% CI 2–20%), 19% (95% CI 4–31%) and 21% (2–36%) lower risk of cognitive impairment, respectively (P-trend = 0.01). Further adjustment for intake of unsaturated fatty acids attenuated the association to non-significance. Mediation analysis showed that the 50.8% of the association between nuts and risk of cognitive impairment was mediated by the intake of total unsaturated fatty acids (P &lt; 0.001). Conclusion higher intake of nuts in midlife was related to a lower risk of cognitive impairment in late life, which was partly mediated by unsaturated fatty acids.

scholarly journals Dietary and lifestyle inflammatory scores are associated with increased risk of metabolic syndrome in Iranian adults

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Hossein Farhadnejad ◽  
Karim Parastouei ◽  
Hosein Rostami ◽  
Parvin Mirmiran ◽  
Fereidoun Azizi
Keyword(s):  
Metabolic Syndrome ◽  
Positive Association ◽  
Population Based ◽  
Population Based Study ◽  
Logistic Regression Models ◽  
Increased Risk ◽  
Confounding Variables ◽  
Adjusted Model ◽  
Diet And Lifestyle

Abstract Background In the current study, we aimed to investigate the association of dietary inflammation scores (DIS) and lifestyle inflammation scores (LIS) with the risk of metabolic syndrome (MetS) in a prospective population-based study. Methods A total of 1625 participants without MetS were recruited from among participants of the Tehran Lipid and Glucose Study(2006–2008) and followed a mean of 6.1 years. Dietary data of subjects were collected using a food frequency questionnaire at baseline to determine LIS and DIS. Multivariable logistic regression models, were used to calculate the odds ratio (ORs) and 95 % confidence interval (CI) of MetS across tertiles of DIS and LIS. Results Mean ± SD age of individuals (45.8 % men) was 37.5 ± 13.4 years. Median (25–75 interquartile range) DIS and LIS for all participants was 0.80 (− 2.94, 3.64) and 0.48 (− 0.18, − 0.89), respectively. During the study follow-up, 291 (17.9 %) new cases of MetS were identified. Based on the age and sex-adjusted model, a positive association was found between LIS (OR = 7.56; 95% CI 5.10–11.22, P for trend < 0.001) and risk of MetS, however, the association of DIS and risk of MetS development was not statistically significant (OR = 1.30;95% CI 0.93–1.80, P for trend = 0.127). In the multivariable model, after adjustment for confounding variables, including age, sex, body mass index, physical activity, smoking, and energy intake, the risk of MetS is increased across tertiles of DIS (OR = 1.59; 95% CI 1.09–2.33, P for trend = 0.015) and LIS(OR = 8.38; 95% CI 5.51–12.7, P for trend < 0.001). Conclusions The findings of the current study showed that greater adherence to LIS and DIS, determined to indicate the inflammatory potential of diet and lifestyle, are associated with increased the risk of MetS.

scholarly journals Habitat use of golden jackals (Canis aureus) in riverine areas of northern Bosnia and Herzegovina

2021 ◽  
Vol 67 (1) ◽  
Author(s):  
Aldin Selimovic ◽  
Eva Maria Schöll ◽  
Larissa Bosseler ◽  
Jennifer Hatlauf
Keyword(s):  
Habitat Use ◽  
Bosnia And Herzegovina ◽  
Agricultural Practices ◽  
Binary Logistic Regression ◽  
Food Sources ◽  
Golden Jackal ◽  
Canis Aureus ◽  
Logistic Regression Models ◽  
Habitat Analysis ◽  
Group Density

AbstractRecently confirmed expansion of golden jackals (Canis aureus) into countries without any previous records poses questions, one of them focusing on the species potential and possibly varying habitat use. In this study, we investigated the presence and distribution of golden jackals in northern Bosnia and Herzegovina, where knowledge about golden jackal distribution and habitat use is still scarce. We used bioacoustic stimulation as a non-invasive tool to gather data on golden jackal presence. Habitat structures potentially selected by the species were assessed at 92 calling stations and used as input for binary logistic regression models. Our study area covered approximately 1150 km2, and bioacoustic stimulation within this area resulted in an estimated minimum relative group density of 3.5 territorial groups per 100 km2. We found territorial groups at distances between 15 and 38 km southwards from the river Sava but always within a maximum range of 3 km to perennial watercourses. Habitat analysis identified shrub vegetation and pastures as structures with a significant effect on the presence of resident golden jackals. Probability that golden jackals answered at calling stations increased with increasing surface area covered with pastures and shrubs. Distances between golden jackal territories and the nearest human settlement were relatively small. Our results indicate that structures like transitional woodland-shrubs and pastures, together with other potential influencing factors like local agricultural practices, low hunting pressure, diverse natural and anthropogenic food sources, could have benefited the settlement of golden jackals in the northern lowlands of Bosnia and Herzegovina.

Women’s Autonomy and Support for Wife Beating: Findings From a Population-Based Survey in Jordan

2010 ◽  
Vol 25 (3) ◽  
pp. 409-419 ◽  
Author(s):  
Natalia Linos ◽  
Marwan Khawaja ◽  
Mohannad Al-Nsour
Keyword(s):  
Regression Models ◽  
Binary Logistic Regression ◽  
Population Based ◽  
Married Women ◽  
Wife Beating ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Hypothetical Scenario ◽  
Population Based Survey

The aim of this study is to examine attitudes among married women toward wife beating and to investigate the hypothesis that female individual empowerment is associated with such attitudes within a broader context of societal patriarchy in Jordan. The study uses data from a cross-sectional survey of a representative sample of married women (n = 5,390) conducted in 2002. Associations between acceptance of wife beating and several women’s empowerment variables, including decision-making power, as well as other risk factors were assessed, using odds ratios from binary logistic regression models. The key finding is that the vast majority (87.5%) of Jordanian women believe that wife beating is justified in at least one hypothetical scenario, and justification is negatively associated with empowerment variables and some demographic, geographic, and socioeconomic factors.

scholarly journals Irregularity of energy intake at meals: prospective associations with the metabolic syndrome in adults of the 1946 British birth cohort

2015 ◽  
Vol 115 (2) ◽  
pp. 315-323 ◽  
Author(s):  
Gerda K. Pot ◽  
Rebecca Hardy ◽  
Alison M. Stephen
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Waist Circumference ◽  
Energy Intake ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors ◽  
Logistic Regression Models ◽  
The Metabolic Syndrome ◽  
Increased Risk ◽  
Health And Development

AbstractIrregularity in eating patterns could be a potential cardiometabolic risk factor. We aimed to study the associations of irregular intake of energy at meals in relation to cardiometabolic risk factors 10 and 17 years later. Variability of energy intake data – derived from 5-d estimated diet diaries of cohort members of the National Survey for Health and Development collected at ages 36 (n1416), 43 (n1505) and 53 years (n1381) – was used as a measure for irregularity. Associations between meal irregularity scores with cardiometabolic risk factors measured 10 and 17 years later were investigated using linear mixed models and logistic regression models. The results showed that irregularity scores changed significantly over the years (P<0·05). At age 36 years, subjects with a more irregular intake of energy at lunch (OR 1·42; 95 % CI 1·05, 1·91) and between meals (OR 1·35; 95 % CI 1·01, 1·82) had an increased risk for the metabolic syndrome 17 years later; at lunch was also associated with an increased waist circumference (OR 1·58; 95 % 1·27, 1·96) and TAG levels (OR 1·33; 95 % CI 1·02, 1·72). At age 43 years, subjects with a more irregular intake at breakfast had an increased risk of the metabolic syndrome 10 years later (OR 1·53; 95 % CI 1·15, 2·04), as well as an increased BMI (OR 1·66; 95 % CI 1·31, 2·10), waist circumference (OR 1·53; 95 % CI 1·23, 1·90) and diastolic blood pressure (OR 1·42; 95 % CI 1·13, 1·78). In conclusion, subjects with a more irregular intake of energy, mostly at breakfast and lunch, appeared to have an increased cardiometabolic risk 10 and 17 years later.

scholarly journals SART and Individual Trial Mistake Thresholds: Predictive Model for Mobility Decline

Geriatrics ◽  
2021 ◽  
Vol 6 (3) ◽  
pp. 85
Author(s):  
Rossella Rizzo ◽  
Silvin Paul Knight ◽  
James R. C. Davis ◽  
Louise Newman ◽  
Eoin Duggan ◽  
...  
Keyword(s):  
Older Adults ◽  
Cognitive Decline ◽  
Test Performance ◽  
Large Population ◽  
Binary Logistic Regression ◽  
Population Based ◽  
Timed Up And Go ◽  
Logistic Regression Models ◽  
Neurocognitive Functions ◽  
Individual Trial

The Sustained Attention to Response Task (SART) has been used to measure neurocognitive functions in older adults. However, simplified average features of this complex dataset may result in loss of primary information and fail to express associations between test performance and clinically meaningful outcomes. Here, we describe a new method to visualise individual trial (raw) information obtained from the SART test, vis-à-vis age, and groups based on mobility status in a large population-based study of ageing in Ireland. A thresholding method, based on the individual trial number of mistakes, was employed to better visualise poorer SART performances, and was statistically validated with binary logistic regression models to predict mobility and cognitive decline after 4 years. Raw SART data were available for 4864 participants aged 50 years and over at baseline. The novel visualisation-derived feature bad performance, indicating the number of SART trials with at least 4 mistakes, was the most significant predictor of mobility decline expressed by the transition from Timed Up-and-Go (TUG) < 12 to TUG ≥ 12 s (OR = 1.29; 95% CI 1.14–1.46; p < 0.001), and the only significant predictor of new falls (OR = 1.11; 95% CI 1.03–1.21; p = 0.011), in models adjusted for multiple covariates. However, no SART-related variables resulted significant for the risk of cognitive decline, expressed by a decrease of ≥ 2 points in the Mini-Mental State Examination (MMSE) score. This novel multimodal visualisation could help clinicians easily develop clinical hypotheses. A threshold approach to the evaluation of SART performance in older adults may better identify subjects at higher risk of future mobility decline.

scholarly journals Association of metabolic syndrome with oral and systemic conditions in morbidly obese patients

2019 ◽  
Vol 18 ◽  
pp. e191484
Author(s):  
Gerson Aparecido Foratori-Junior ◽  
Francisco Juliherme Pires de Andrade ◽  
Victor Mosquim ◽  
Matheus de Carvalho Sales Peres ◽  
Elinton Adami Chaim ◽  
...  
Keyword(s):  
Bariatric Surgery ◽  
Metabolic Syndrome ◽  
Logistic Regression ◽  
Density Lipoprotein ◽  
Binary Logistic Regression ◽  
Morbidly Obese ◽  
Obese Patients ◽  
Missing Teeth ◽  
Logistic Regression Models ◽  
Fasting Glycemia

Aim: This study aimed to evaluate oral and systemic conditions in morbidly obese patients with and without metabolic syndrome (MS) prior to bariatric surgery. Methods: One hundred patients were included and equally divided into two groups: G1 - with MS (n = 50) and G2 - without MS (n = 50). MS was diagnosed in patients presenting at least three of five signs: abdominal obesity, high triglyceride level, low high-density lipoprotein cholesterol (HDL-C) level, hypertension, and altered fasting glycemia. Variables analyzed included the patients’ age, sex, body mass index (BMI), waist-to-hip ratio (WHR), and number of missing teeth. Both BMI and WHR were used to evaluate the risk of developing cardiovascular disease (RCVD). Mann-Whitney, Chi-squared, t test, hierarchical multiple linear regression and binary logistic regression models were used in statistical analyses (p<0.05). Results: There were no group-wise differences in sex (p=0.631) and BMI (p=0.200); however, the WHR (p=0.009), age (p=0.0001), and number of missing teeth (p=0.0003) were higher in G1. Obese patients with MS who were candidates for bariatric surgery presented higher RCVD than obese patients without MS (p=0.019). Binary logistic regression revealed patient age [adjusted OR=1.05, 95% CI=1.00-1.11, p=0.042] and number of missing teeth [adjusted OR=1.17, 95% CI=1.04-1.31, p=0.013] to be significant predictors of MS. Conclusion: Morbidly obese patients with MS had worse oral and systemic conditions than those without MS, regarding WHR, RCDV and number of missing teeth.

scholarly journals Impact of water supply, domiciliary water reservoirs and sewage on faeco-orally transmitted parasitic diseases in children residing in poor areas in Juiz de Fora, Brazil

2005 ◽  
Vol 134 (4) ◽  
pp. 694-698 ◽  
Author(s):  
J. C. TEIXEIRA ◽  
L. HELLER
Keyword(s):  
Family Income ◽  
Binary Logistic Regression ◽  
Target Population ◽  
Population Based ◽  
Parasitic Diseases ◽  
Water Reservoirs ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Settlement Areas

The objectives of this study were to characterize faeco-orally transmitted parasitic diseases and to identify the factors associated with these diseases, with emphasis on environmental factors, in children ranging from 1 up to 5 years old residing in substandard settlement areas. A population-based cross-sectional epidemiological design was used in a non-random selection of 29 out of the 78 substandard settlement areas in the municipality of Juiz de Fora, Brazil. A sample of 753 children were assessed from the target population consisting of all children of the appropriate age range residing in the selected areas. Data were collected by means of domiciliary interviews with their mothers or with the person responsible for them. The Hoffmann–Pons–Janer method was used in the parasitological examination of faeces. Binary logistic regression models were used to identify the factors associated with the diseases. A total of 319 sample children presented faeco-orally transmitted parasitic diseases. The factors associated with these parasitic diseases included the children's age, family income, number of dwellers in the domicile, consumption of water from shallow wells, consumption of water from natural sources, absence of covered domiciliary water reservoirs, and the presence of sewage flowing in the street.

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