scholarly journals Diet quality and obesity in women: the Framingham Nutrition Studies

2009 ◽  
Vol 103 (8) ◽  
pp. 1223-1229 ◽  
Author(s):  
Dolores M. Wolongevicz ◽  
Lei Zhu ◽  
Michael J. Pencina ◽  
Ruth W. Kimokoti ◽  
P. K. Newby ◽  
...  
Keyword(s):  
Risk Score ◽  
Diet Quality ◽  
Smoking Status ◽  
Normal Weight ◽  
Nutritional Risk ◽  
Risk Scores ◽  
Adult Women ◽  
American Adult ◽  
Dietary Records ◽  
Overweight Or Obesity

Obesity affects one in three American adult women and is associated with overall mortality and major morbidities. A composite diet index to evaluate total diet quality may better assess the complex relationship between diet and obesity, providing insights for nutrition interventions. The purpose of the present investigation was to determine whether diet quality, defined according to the previously validated Framingham nutritional risk score (FNRS), was associated with the development of overweight or obesity in women. Over 16 years, we followed 590 normal-weight women (BMI < 25 kg/m2), aged 25 to 71 years, of the Framingham Offspring and Spouse Study who presented without CVD, cancer or diabetes at baseline. The nineteen-nutrient FNRS derived from mean ranks of nutrient intakes from 3 d dietary records was used to assess nutritional risk. The outcome was development of overweight or obesity (BMI ≥ 25 kg/m2) during follow-up. In a stepwise multiple logistic regression model adjusted for age, physical activity and smoking status, the FNRS was directly related to overweight or obesity (P for trend = 0·009). Women with lower diet quality (i.e. higher nutritional risk scores) were significantly more likely to become overweight or obese (OR 1·76; 95 % CI 1·16, 2·69) compared with those with higher diet quality. Diet quality, assessed using a comprehensive composite nutritional risk score, predicted development of overweight or obesity. This finding suggests that overall diet quality be considered a key component in planning and implementing programmes for obesity risk reduction and treatment recommendations.

scholarly journals Associations of Adiposity and Diet Quality with Serum Ceramides in Middle-Aged Adults with Cardiovascular Risk Factors

2019 ◽  
Vol 8 (4) ◽  
pp. 527 ◽  
Author(s):  
Margaret A. Drazba ◽  
Ida Holásková ◽  
Nadine R. Sahyoun ◽  
Melissa Ventura Marra
Keyword(s):  
Risk Factors ◽  
Risk Score ◽  
Diet Quality ◽  
Cardiovascular Events ◽  
Weight Status ◽  
Smoking Status ◽  
Healthy Eating Index ◽  
Risk Scores ◽  
Middle Aged ◽  
Middle Aged Adults

Rates of adverse cardiovascular events have increased among middle-aged adults. Elevated ceramides have been proposed as a risk factor for cardiovascular events. Diet quality and weight status are inversely associated with several traditional risk factors; however, the relationship to ceramides is less clear. This study aimed to determine associations of adiposity and diet quality with circulating ceramides in middle-aged adults (n = 96). Diet quality was estimated using the Healthy Eating Index 2015 (HEI-2015). Serum ceramide concentrations were determined by liquid chromatography–mass spectrometry. A ceramide risk score was determined based on ceramides C16:0, C18:0, and C24:1 and their ratios to C24:0. Participants who were classified as at ‘moderate risk’ compared to ‘lower-risk’ based on a ceramide risk score had significantly higher body mass index (BMI) values, as well as higher rates of elevated fibrinogen levels, metabolic syndrome, and former smoking status. BMI was positively associated with the ceramide C18:0 (R2 = 0.31, p < 0.0001), the ratio between C18:0/C24:0 ceramides (R2 = 0.30, p < 0.0001), and the ceramide risk score (R2 = 0.11, p < 0.009). Total HEI-2015 scores (R2 = 0.42, p = 0.02), higher intakes of vegetables (R2 = 0.44, p = 0.02) and whole grains (R2 = 0.43, p = 0.03), and lower intakes of saturated fats (R2 = 0.43, p = 0.04) and added sugar (R2 = 0.44, p = 0.01) were associated with lower C22:0 values. These findings suggest that circulating ceramides are more strongly related to adiposity than overall diet quality. Studies are needed to determine if improvements in weight status result in lower ceramides and ceramide risk scores.

scholarly journals The relationship of nutritional risk with diet quality and health outcomes in community-dwelling older adults

2021 ◽  
Author(s):  
Ilse Bloom ◽  
Anna Pilgrim ◽  
Karen A. Jameson ◽  
Elaine M. Dennison ◽  
Avan A. Sayer ◽  
...  
Keyword(s):  
Older Adults ◽  
Grip Strength ◽  
Risk Score ◽  
Diet Quality ◽  
Community Dwelling ◽  
Nutritional Risk ◽  
Risk Scores ◽  
Cross Sectional ◽  
Nutrition Risk

Abstract Objectives To identify early nutritional risk in older populations, simple screening approaches are needed. This study aimed to compare nutrition risk scores, calculated from a short checklist, with diet quality and health outcomes, both at baseline and prospectively over a 2.5-year follow-up period; the association between baseline scores and risk of mortality over the follow-up period was assessed. Methods The study included 86 community-dwelling older adults in Southampton, UK, recruited from outpatient clinics. At both assessments, hand grip strength was measured using a Jamar dynamometer. Diet was assessed using a short validated food frequency questionnaire; derived ‘prudent’ diet scores described diet quality. Body mass index (BMI) was calculated and weight loss was self-reported. Nutrition risk scores were calculated from a checklist adapted from the DETERMINE (range 0–17). Results The mean age of participants at baseline (n = 86) was 78 (SD 8) years; half (53%) scored ‘moderate’ or ‘high’ nutritional risk, using the checklist adapted from DETERMINE. In cross-sectional analyses, after adjusting for age, sex and education, higher nutrition risk scores were associated with lower grip strength [difference in grip strength: − 0.09, 95% CI (− 0.17, − 0.02) SD per unit increase in nutrition risk score, p = 0.017] and poorer diet quality [prudent diet score: − 0.12, 95% CI (− 0.21, − 0.02) SD, p = 0.013]. The association with diet quality was robust to further adjustment for number of comorbidities, whereas the association with grip strength was attenuated. Nutrition risk scores were not related to reported weight loss or BMI at baseline. In longitudinal analyses there was an association between baseline nutrition risk score and lower grip strength at follow-up [fully-adjusted model: − 0.12, 95% CI (− 0.23, − 0.02) SD, p = 0.024]. Baseline nutrition risk score was also associated with greater risk of mortality [unadjusted hazard ratio per unit increase in score: 1.29 (1.01, 1.63), p = 0.039]; however, this association was attenuated after adjustment for sex and age. Conclusions Cross-sectional associations between higher nutrition risk scores, assessed from a short checklist, and poorer diet quality suggest that this approach may hold promise as a simple way of screening older populations. Further larger prospective studies are needed to explore the predictive ability of this screening approach and its potential to detect nutritional risk in older adults.

scholarly journals Risk score to stratify miscarriage risk levels in preconception women

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xin Hui Choo ◽  
Chee Wai Ku ◽  
Yin Bun Cheung ◽  
Keith M. Godfrey ◽  
Yap-Seng Chong ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Score ◽  
Smoking Status ◽  
Characteristic Curve ◽  
Lifestyle Changes ◽  
Risk Scores ◽  
Risk Level ◽  
Multivariable Logistic Regression Model ◽  
Spontaneous Miscarriage ◽  
Risk Levels

AbstractSpontaneous miscarriage is one of the most common complications of pregnancy. Even though some risk factors are well documented, there is a paucity of risk scoring tools during preconception. In the S-PRESTO cohort study, Asian women attempting to conceive, aged 18-45 years, were recruited. Multivariable logistic regression model coefficients were used to determine risk estimates for age, ethnicity, history of pregnancy loss, body mass index, smoking status, alcohol intake and dietary supplement intake; from these we derived a risk score ranging from 0 to 17. Miscarriage before 16 weeks of gestation, determined clinically or via ultrasound. Among 465 included women, 59 had miscarriages and 406 had pregnancy ≥ 16 weeks of gestation. Higher rates of miscarriage were observed at higher risk scores (5.3% at score ≤ 3, 17.0% at score 4–6, 40.0% at score 7–8 and 46.2% at score ≥ 9). Women with scores ≤ 3 were defined as low-risk level (< 10% miscarriage); scores 4–6 as intermediate-risk level (10% to < 40% miscarriage); scores ≥ 7 as high-risk level (≥ 40% miscarriage). The risk score yielded an area under the receiver-operating-characteristic curve of 0.74 (95% confidence interval 0.67, 0.81; p < 0.001). This novel scoring tool allows women to self-evaluate their miscarriage risk level, which facilitates lifestyle changes to optimize modifiable risk factors in the preconception period and reduces risk of spontaneous miscarriage.

Diet Quality Assessed with the “Framingham Nutritional Risk Score”

Diet Quality ◽  
2013 ◽  
pp. 315-326
Author(s):  
Ruth W. Kimokoti ◽  
Barbara E. Millen
Keyword(s):  
Risk Score ◽  
Diet Quality ◽  
Nutritional Risk

scholarly journals Evaluation of Cardiovascular Diseases Risk in the Iranian Population

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Meisam Akhlaghdoust ◽  
Davoud Pirani ◽  
Mohamad Nasiri ◽  
Sahar Lashkari Ahangarani ◽  
Nazgol Haghsetan ◽  
...  
Keyword(s):  
Family History ◽  
Cardiovascular Diseases ◽  
Risk Score ◽  
Smoking Status ◽  
Positive Family History ◽  
Iranian Population ◽  
Risk Scores ◽  
Cvd Risk ◽  
Assessment Scores ◽  
History Of

Background: Cardiovascular diseases (CVDs) are among the leading causes of death and morbidity around the world. Risk score assessment can assist in anticipating a person's CVD risk over the next five years. Objectives: This study aimed to investigate the risk of CVDs in the general Iranian population. Methods: This study was conducted in September 2020, and 5324 participants aged 35 to 74 years were registered from 95 metro stations throughout Tehran. Participants' demographics (ie, age, gender, current smoking and exercise habits, and family history of hypertension, CVDs, and diabetes) were collected by in-person interviews, and their body mass index (BMI) and systolic blood pressure (SBP) were measured. The five-year risk of CVDs was estimated and categorized into low (< 10%), some risk (10 - 20%), moderate (21 - 30%), increased (31 - 40%), and high (> 40%) groups, and its association with the participants’ demographics was evaluated by SPSS version 21. Results: The mean age of 5324 participants was 45.3 ± 14.8 years, and 64% were male. The frequency of CVD risk scores was as follows: low (54%), some risk (17.5%), moderate (15.4%), increased (5.7%), and high (3.5%), which were significantly associated with gender (P < 0.001), smoking status (P = 0.048), exercise (P = 0.014), and family history of diseases (all P < 0.001). Age (β = 0.774, P < 0.001) increased the odds of CVD, while other variables had small or no effects on CVD. Conclusions: This study found a high prevalence of high-risk CVD in the Iranian population, emphasizing the importance of risk score assessment, which should include not only basic non-laboratory risk assessment scores, but also exercise and a positive family history of associated diseases.

scholarly journals Machine Learning Prediction of Biomarkers from SNPs and of Disease Risk from Biomarkers in the UK Biobank

2021 ◽  
Author(s):  
Erik Widen ◽  
Timothy G. Raben ◽  
Louis Lello ◽  
Stephen D.H. Hsu
Keyword(s):  
Risk Score ◽  
Disease Risk ◽  
Smoking Status ◽  
Glycated Haemoglobin ◽  
European Ancestry ◽  
Risk Scores ◽  
Common Disease ◽  
Atherosclerotic Cardiovascular Disease ◽  
Uk Biobank ◽  
Lipoprotein A

We use UK Biobank data to train predictors for 48 blood and urine markers such as HDL, LDL, lipoprotein A, glycated haemoglobin, ... from SNP genotype. For example, our predictor correlates ∼ 0.76 with lipoprotein A level, which is highly heritable and an independent risk factor for heart disease. This may be the most accurate genomic prediction of a quantitative trait that has yet been produced (specifically, for European ancestry groups). We also train predictors of common disease risk using blood and urine biomarkers alone (no DNA information). Individuals who are at high risk (e.g., odds ratio of > 5x population average) can be identified for conditions such as coronary artery disease (AUC ∼ 0.75), diabetes (AUC ∼ 0.95), hypertension, liver and kidney problems, and cancer using biomarkers alone. Our atherosclerotic cardiovascular disease (ASCVD) predictor uses ∼ 10 biomarkers and performs in UKB evaluation as well as or better than the American College of Cardiology ASCVD Risk Estimator, which uses quite different inputs (age, diagnostic history, BMI, smoking status, statin usage, etc.). We compare polygenic risk scores (risk conditional on genotype: (risk score | SNPs)) for common diseases to the risk predictors which result from the concatenation of learned functions (risk score | biomarkers) and (biomarker | SNPs).

scholarly journals General Practitioners’ adherence to prescribing guidelines for statins in the United Kingdoms

2019 ◽  
Author(s):  
Federico Ricciardi ◽  
Irwin Nazareth ◽  
Irene Petersen
Keyword(s):  
Blood Pressure ◽  
Systolic Blood Pressure ◽  
Statin Therapy ◽  
Risk Score ◽  
Smoking Status ◽  
Risk Scores ◽  
List Type ◽  
Cvd Risk ◽  
Nice Guideline ◽  
Clinical Records

ABSTRACTObjectiveIn this retrospective cohort study we aimed to assess, in 202,247 people who started a statin therapy between 2007-2014, the factors that led to the initiation of the drug. To do this we explored CVD risk factors singularly and in combinations as recorded in electronic health records in the year before they receive their first prescription and we compared the risk scores with that suggested by the NICE guideline at that time.MethodsWe summarised demographic characteristics and proportions of people with a risk score below the threshold. Regression-based analyses are performed to evaluate the association between the missingness of the risk score and relevant risk score components.Results45,364 individuals (22.4%) were prescribed statins without a record of a risk score being available in the year prior to the prescription date. When the risk score was available, 68,174 out of 156,883 patients were prescribed statins even with a score below the 20% threshold. Smoking status was the most frequently recorded variable (74.9% of the instances), followed by systolic blood pressure (71.6%) and total cholesterol (70%), while HDL cholesterol was the least recorded (34.1%). Cholesterol levels are positively associated with the missingness of the risk score, while systolic blood pressure shows a negative association.ConclusionsGPs often start statins on people with no risk score recorded in their clinical records or in those with risk scores below the recommended threshold. Higher cholesterol values may result in a GP starting statin therapy without recording the other relevant components required to calculate a risk score.STRENGTHS AND LIMITATIONS OF THIS STUDYOur cohort contains a large number of individuals: the study provide a representative picture of initiation of statins in UK primary care.We specifically focus on which variables and factors GPs record in electronic databases in the year prior statin treatment initiation: this is the first study to directly tackle the issue of statins prescribing in the absence of all the information required by the NICE guidelineWe are not able to verify if GPs actually used the records of the individual health indicators, when these were available, to calculate the risk score.

scholarly journals Tipe tubuh (somatotype) dengan sindrom metabolik pada wanita dewasa non-obesitas usia 25 – 40 tahun

2019 ◽  
Vol 16 (2) ◽  
pp. 72
Author(s):  
Betsi Kusumaningnastiti ◽  
Enny Probosari ◽  
Fillah Fithra Dieny ◽  
Deny Yudi Fitranti
Keyword(s):  
Metabolic Syndrome ◽  
Risk Score ◽  
Central Obesity ◽  
Obese Woman ◽  
Fasting Blood Glucose ◽  
Normal Weight ◽  
Risk Scores ◽  
Body Type ◽  
Cross Sectional ◽  
Central Java

Body type (somatotype) with metabolic syndrome among non-obese woman aged 25-40 years oldBackground: The prevalence of central obesity was found high in women, not only in obese individuals but also occur in non-obese individuals or metabolically obese normal weight (MONW). Endomorph marked by higher fat mass, which will lead to metabolic disorders.Objective: This study aimed to describe the correlation of somatotype with metabolic syndrome in a non-obese woman.Methods: Cross-sectional observational study, subjects were selected using purposive sampling involving 46 women 25-40 years old with BMI 18.5-24.9 kg/m2 in several offices in the City of Semarang, consist of Balai Besar Teknologi Pencegahan dan Pencemaran Industri, Dinas Pekerjaan Umum, and Dinas Perindustrian dan Perdagangan Central Java. Somatotype data is measured in three components, namely endomorph, mesomorph, and ectomorph. The resulting value of each component is calculated using the Heath-Carter formula. Triglycerides, HDL, and fasting blood glucose measured by enzymatic colorimetric methods. Blood pressure measured by aneroid sphygmomanometer. Syndrome metabolic was defined as metabolic syndrome risk score (cMetS). Data were analyzed by Rank Spearman and Pearson.Results: The subject's body type is endomorph as much as 91.3% and ectomorph-endomorph (8.7%). Central obesity (50%), low HDL levels (28%), hypertriglyceridemia (2%), normal GDP levels (100%), hypertension (15%), metabolic syndrome (13%), and metabolic pre-syndromes (47, 8%) found in the subject of this study. There were correlation between endomorph (p=0.005; r=0.4) and ectomorph (p=0.000; r=-0.53) with waist circumference. There was a significant correlation between endomorph with metabolic syndrome risk score (p=0.05; r=0.129).Conclusions: Endomorph was associated with a metabolic syndrome risk score. Higher endomorph tends to have higher metabolic syndrome risk scores.

scholarly journals A Novel Signature for Predicting Prognosis of Smoking-Related Squamous Cell Carcinoma

2021 ◽  
Vol 12 ◽  
Author(s):  
Chang Chen ◽  
Xiaoqing Cheng ◽  
Shuyan Li ◽  
Huanghui Chen ◽  
Mengjing Cui ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Risk Factor ◽  
Cell Carcinoma ◽  
Risk Score ◽  
Squamous Cell ◽  
Function Analysis ◽  
Smoking Status ◽  
The Cancer Genome Atlas ◽  
Risk Scores ◽  
Score Model

Tobacco smoking is an established risk factor for squamous cell carcinoma (SCC). We obtained smoking-related SCC, including cervical SCC (CSCC), esophageal SCC (ESCC), head and neck SCC (HNSC), and lung SCC (LUSC), from The Cancer Genome Atlas (TCGA) database to investigate the association between smoking status (reformed and current smoking) and prognosis. We found that reformed smokers had a better prognosis than current smokers in CSCC (p = 0.003), HNSC (p = 0.019), and LUSC (p &lt; 0.01) cohorts. Then, we selected LUSC cohorts as the training cohort and other SCC cohorts as the test cohorts. Function analysis revealed that homologous recombination (HR) was the most significant pathway involved in smoking-induced LUSC. Moreover, the effect of cross-talk between the smoking status and HR deficiency (HRD) on the prognosis was further evaluated, revealing that quitting smoking with high HRD scores could significantly improve patients’ prognosis (p &lt; 0.01). To improve prognosis prediction and more effectively screen suitable populations for platinum drugs and poly-ADP-ribose polymerase (PARP) inhibitors, we constructed a risk score model using smoking- and HRD-related genes in LUSC. The risk score model had high power for predicting 2-, 3-, and 5-year survival (p &lt; 0.01, AUC = 0.67, 0.66, and 0.66). In addition, the risk scores were an independent risk factor for LUSC (HR = 2.34, 95%CI = 1.70–3.23). The practical nomogram was also built using the risk score, smoking status, and other clinical information with a good c-index (0.72, 95%CI = 0.70–0.74). Finally, we used other TCGA SCC cohorts to confirm the reliability and validity of the risk score model (p &lt; 0.01 and AUC &gt; 0.6 at 2, 3, and 5 years in CSCC and HNSC cohorts). In conclusion, the present study suggested that smoking cessation should be a part of smoking-related SCC treatment, and also provided a risk score model to predict prognosis and improve the effectiveness of screening the platinum/PARP population.

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