scholarly journals Diet Quality Index and Health Behavior Index Generated from a Food Liking Survey Explains Variability in Cardiometabolic Factors in Young Adults (P08-027-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Bruce Blanchard ◽  
Jeanne McCaffery ◽  
Stephen Woolley ◽  
Lauren Corso ◽  
Valerie Duffy
Keyword(s):  
Physical Activity ◽  
Blood Pressure ◽  
Health Behavior ◽  
Diet Quality ◽  
Quality Index ◽  
Cardiometabolic Health ◽  
Diet Quality Index ◽  
Patient Status ◽  
Food Liking ◽  
Behavior Index

Abstract Objectives To test the relationship of diet quality and health behavior indexes derived from a validated food liking survey with cardiometabolic health in a convenience sample of non-diabetic patients with diagnosed depression from a psychiatric facility and age-gender matched students from a University setting. Methods One hundred six patients and 106 controls (62% female, mean age = 21) completed a 100-item liking survey comprised of foods, beverages, and physical and sedentary activities. Nutritional items were conceptually grouped, weighted and averaged into a Diet Quality Index (DQI). A Healthy Behavior Index (HBI) was the average of the weighted nutritional and physical activity groups. Higher indexes reflected healthier behaviors. Multiple linear regression was used to relate DQI and HBI with blood pressure and fasting insulin, glucose and serum lipids. BMI, biologic sex and patient status were included as covariates. Some serum markers required transformation to approach normal distribution. Results From BMI, 4% were underweight, 57% normal, 25% overweight, and 14% obese. The liking survey took minutes for participants to complete and little processing to generate the indexes. The DQI and HBI were internally reliable (α = 0.68–0.69), reflected greater than one dimension (principal component analysis), and were normally distributed. Higher DQI scores were significantly related to higher HDL (standardized β = 0.16, P = 0.019) and lower glucose (β = –0.19, P = 0.005), insulin (β = –0.18, P = 0.005) and diastolic blood pressure (β = –0.32, P < 0.001). Adding physical activity, HBI also was related to glucose (β = –0.19, P = 0.008), triglycerides (β =–0.14, P = 0.04) and insulin (β = –0.18, P = 0.006). Patient status was not a significant independent contributor in the models. Conclusions A simple liking survey can produce reliable and valid indexes of diet quality and health behaviors that significantly associated with multiple cardiometabolic risk factors. Funding Sources USDA NIFA, Hatch project.

scholarly journals KUALITAS DIET DAN DAYA TAHAN (ENDURANCE) ATLET BULUTANGKIS REMAJA DI KOTA SEMARANG

2019 ◽  
Vol 8 (1) ◽  
pp. 29
Author(s):  
Mailina Prima Sahara ◽  
Nurmasari Widyastuti ◽  
Aryu Candra
Keyword(s):  
Physical Activity ◽  
Diet Quality ◽  
Food Frequency Questionnaire ◽  
Quality Index ◽  
Cross Sectional ◽  
Food Frequency ◽  
Fitness Test ◽  
Diet Quality Index ◽  
Kolmogorov Smirnov

Latar Belakang: Prestasi olahraga bulutangkis cenderung menurun beberapa tahun terakhir. Salah satu faktor yang mempengaruhi prestasi adalah daya tahan (endurance). Kualitas diet akan mempengaruhi daya tahan (endurance) sehingga seseorang dapat melakukan pekerjaan secara efektif dan efisien dalam waktu yang lama tanpa menimbulkan kelelahan yang berlebihan. Tujuan: Mengetahui hubungan antara kualitas diet dan daya tahan atlet bulutangkis remaja di Kota SemarangMetode: Penelitian ini merupakan penelitian cross sectional. Subjek adalah 60 atlet bulutangkis usia 12-18 tahun. Variabel perancu adalah aktivitas fisik dan persen lemak tubuh subjek. Pengukuran daya tahan dengan metode Multistage Fitness Test (MFT). Data yang dikumpulkan yaitu kebiasaan makan yang diambil menggunakan Semi Quantitative Food Frequency Questionnaire (SQFFQ) dan data aktivitas fisik menggunakan Physical Activity Quistionnaires for Adolescent (PAQ-A). Kualitas diet dinilai menggunakan kuisioner Diet Quality Index International (DQI-I). Data antropometri meliputi tinggi badan, berat badan, dan persen lemak tubuh. Uji kenormalan data dengan uji Kolmogorov-Smirnov dan  analisis data dengan uji korelasi Rank Spearman.Hasil: Terdapat 1,7% subjek yang memiliki kualitas diet baik. Sebagian besar atlet memiliki daya tahan yang cukup (35%). Persen lemak tubuh subjek sebagian besar tergolong optimal (61,7%). Tidak terdapat hubungan antara kualitas diet dan daya tahan (endurance) (r = 0,122, p=0,353). Tidak terdapat hubungan antara aktivitas fisik dan daya tahan (endurance) (r = 0,209, p= 0,109). Ada hubungan antara persen lemak tubuh dan daya tahan (endurance) ( r = -0,480, p=0,0001). Simpulan: Kualitas diet yang baik akan meningkatkan daya tahan (endurance), namun bersifat lemah dan secara statistik tidak berhubungan. Persen lemak tubuh yang optimal berkontribusi penting dalam menjaga daya tahan (endurance) atlet. Faktor perancu aktivitas fisik tidak mempengaruhi daya tahan (endurance).

scholarly journals Association between Ag-RP, alpha-MSH and cardiovascular risk factors regarding adherence to Diet Quality Index- International (DQI-I) among obese individuals

2021 ◽  
Author(s):  
Mahsa Mahmoudinezhad ◽  
Mahdieh Abbasalizad Farhangi
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Diet Quality ◽  
Quality Index ◽  
Cardiometabolic Risk ◽  
Resistance Index ◽  
Cardiometabolic Risk Factors ◽  
Model Assessment ◽  
Diet Quality Index ◽  
Adherence To Diet

Introduction: Obesity is a strong promoter of cardiometabolic risk factors and is associated with several chronic comorbidities. Recently, the role of α-melanocyte stimulating hormone (α-MSH) and agouti related peptide (Ag-RP) in regulation of energy balance has attracted much attention. In current study, we evaluated the association between α-MSH and Ag-RP with cardiometabolic factors among obese individuals with different adherence to Diet Quality Index-International (DQI-I) values. Methods: In this research, 188 obese adults aged between 20 and 50 years old and body mass index (BMI) between 30 and 40 kg/m2 were recruited. Dietary intakes of participants and DQI-I calculation was performed using a semi-quantitative food frequency questionnaire (FFQ) with 132 food items. Serum glucose, lipids, insulin, and plasma α-MSH and Ag-RP levels were measured using ELISA kits. Homeostasis model assessment for insulin resistance index (HOMA-IR) and quantitative insulin sensitivity check index (QUICKI) were also calculated. Results: Among those with the lowest adherence to DQI-I, Ag-RP was positively associated with systolic blood pressure (SBP) (P = 0.03) among males, which was associated with waist circumference (WC) (P = 0.01) and diastolic blood pressure (DBP) (P = 0.01). Moreover, among males with low and moderate adherence to DQI-I, α-MSH was positively associated with insulin (P = 0.04), weight (P = 0.03), WC (P < 0.01), SDP (P = 0.02) and DBP (P = 0.01). Also, Ag-RP showed a positive association with BMI values (R2 = 0.03; P = 0.03). Conclusion: According to our findings, in obese subjects with poor to moderate adherence to DQI-I, Ag-RP and α-MSH were in positive correlation with cardiometabolic risk factors. These findings further clarify the clinical importance of these parameters as prognostic factors of cardiometabolic abnormalities.

scholarly journals The Clustering of Low Diet Quality, Low Physical Fitness, and Unhealthy Sleep Pattern and Its Association with Changes in Cardiometabolic Risk Factors in Children

Nutrients ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 591
Author(s):  
Xianwen Shang ◽  
Yanping Li ◽  
Haiquan Xu ◽  
Qian Zhang ◽  
Ailing Liu ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Blood Pressure ◽  
Diet Quality ◽  
Cardiometabolic Risk ◽  
Fasting Glucose ◽  
Density Lipoprotein ◽  
Sleep Pattern ◽  
Cardiometabolic Health ◽  
Z Scores

The clustering of diet quality, physical activity, and sleep and its association with cardiometabolic risk (CMR) factors remains to be explored. We included 5315 children aged 6–13 years in the analysis. CMR score (CMRS) was computed by summing Z-scores of waist circumference, an average of systolic and diastolic blood pressure, fasting glucose, high-density lipoprotein cholesterol (multiplying by −1), and triglycerides. Low diet quality and low cardiorespiratory fitness (CRF) were more likely to be seen in a pair, but low diet quality was less likely to be clustered with unhealthy sleep patterns. Low diet quality, low CRF, and unhealthy sleep pattern was associated with a 0.63, 0.53, and 0.25 standard deviation (SD) higher increase in CMRS, respectively. Compared to children with no unhealthy factor (−0.79 SD), those with ≥1 unhealthy factor had a higher increase (−0.20 to 0.59 SD) in CMRS. A low diet quality-unhealthy sleep pattern resulted in the highest increase in CMRS, blood pressure, and triglycerides. A low diet quality–low CRF-unhealthy sleep pattern resulted in the highest increase in fatness and fasting glucose. Unhealthy factor cluster patterns are complex; however, their positive associations with changes in CMR factors are consistently significant in children. Some specific patterns are more harmful than others for cardiometabolic health.

scholarly journals PERBEDAAN STATUS GIZI DAN KUALITAS ASUPAN MAKANAN PADA LANSIA YANG MENGIKUTI DAN TIDAK MENGIKUTI PROLANIS

2019 ◽  
Vol 8 (3) ◽  
pp. 178-186
Author(s):  
Rosiana Dwi Astiti ◽  
Ani Margawati ◽  
Ayu Rahadiyanti ◽  
A Fahmy Arif Tsani
Keyword(s):  
Physical Activity ◽  
Diet Quality ◽  
Quality Index ◽  
International Physical Activity Questionnaire ◽  
T Test ◽  
Cross Sectional ◽  
Physical Activity Questionnaire ◽  
Diet Quality Index ◽  
Activity Questionnaire

Latar Belakang: Populasi lansia terus mengalami peningkatan. Peningkatan ini harus diikuti dengan perbaikan fasilitas kesehatan sehingga derajat kesehatan dan kualitas asupan makanan lansia meningkat. Salah satu strategi yang dilaksanakan pemerintah yaitu Program Pengelolaan Penyakit Kronis (Prolanis). Penelitian ini bertujuan untuk mengetahui perbedaan status gizi dan kualitas asupan makanan pada lansia yang mengikuti dan tidak mengikuti prolanis.Metode: Penelitian ini merupakan studi cross sectional. Subjek merupakan lansia yang mengikuti dan tidak mengikuti prolanis. Data meliputi karakteristik subjek, tingkat pendapatan, status gizi berdasarkan Indeks Massa Tubuh (IMT), kualitas asupan makanan menggunakan formulir Diet Quality Index-International (DQI-I), dan aktivitas fisik dengan metode International Physical Activity Questionnaire (IPAQ). Analisis data menggunakan uji independent t-test dan Mann-Whitney.Hasil: Rerata skor kualitas asupan makanan subjek yaitu 48,5±6,7 yang tergolong rendah. Rerata status gizi subjek yaitu 24,5±4,2 kg/m2. Kualitas asupan makanan subjek yang mengikuti prolanis (49,0±7,5) lebih tinggi dibandingkan subjek yang tidak mengikuti prolanis (47,6±6,1). Hasil uji beda menunjukkan terdapat perbedaan pada status gizi antara subjek yang mengikuti dan tidak mengikuti prolanis (p=0,029), tetapi tidak terdapat perbedaan pada kualitas asupan makanan (p=0,538).Simpulan: Ada perbedaan signifikan status gizi berdasarkan keikutsertaan prolanis (p=0,029). Tidak ada perbedaan signifikan kualitas asupan makanan berdasarkan keikutsertaan prolanis (p=0,538).

Association between Stress and Metabolic Syndrome and its Mediating Factors in University Students

2021 ◽  
Vol 45 (6) ◽  
pp. 1091-1102
Author(s):  
Guadalupe Gallegos-Gonzalez ◽  
Gisela Pineda-García ◽  
Aracely Serrano-Medina ◽  
Ana Laura Martinez ◽  
Estefanía Ochoa-Ruiz
Keyword(s):  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Waist Circumference ◽  
University Students ◽  
Sleep Quality ◽  
Perceived Stress ◽  
Diet Quality ◽  
Quality Index ◽  
Eating Habits ◽  
Diet Quality Index

Objectives: In this study, we evaluated the association between perceived stress and indicators of metabolic syndrome and how this association is mediated by sleep problems, unhealthy eating habits, and night eating syndrome, in addition to serum levels of ghrelin and cortisol in university students. Methods: We recruited 192 students from a public university in Mexico. Weight, height, waist circumference and blood pressure were taken in accordance with standard protocols. Validated questionnaires were used to assess perceived stress, sleep quality and eating habits. Fasting blood samples were taken to measure ghrelin, cortisol, triglycerides, glucose and HDL-C. Results: Path Analysis indicated direct positive effects of stress over PSQI (β = 0.341) and NES (β = 0.443); PSQI over NES (β = 0.233) and NES over glucose (β = 0.170), triglycerides over LDL-C (β = 0.215), waist circumference over SBP (β = 0.259). Likewise, standardized negative regression weights of PSQI over Diet Quality Index (β = -0.239) and ghrelin concentrations (β = -0.132), ghrelin over Diet Quality Index (β = -0.188) and waist circumference (β = -0.147). Diet Quality Index over triglycerides (β = -0.184); sleep duration over systolic blood pressure (β = -0.242); waist circumference over HDL-C (β = -0.256). Conclusion: Psychological stress leads to increased indicators of MetS via decreased sleep quality, inadequate eating habits and eating behavior in university students.

scholarly journals Lifestyle Intervention Development Study to Improve Physical Function in Older Adults With Cancer: Outcomes From Project LEAD

2006 ◽  
Vol 24 (21) ◽  
pp. 3465-3473 ◽  
Author(s):  
Wendy Demark-Wahnefried ◽  
Elizabeth C. Clipp ◽  
Miriam C. Morey ◽  
Carl F. Pieper ◽  
Richard Sloane ◽  
...  
Keyword(s):  
Physical Activity ◽  
Cancer Survivors ◽  
Diet Quality ◽  
Quality Index ◽  
Intervention Development ◽  
Lifestyle Behaviors ◽  
Development Study ◽  
Diet Quality Index ◽  
Home Based ◽  
Diet And Exercise

Purpose Declines in physical functioning (PF) among elderly cancer patients threaten quality of life and the ability to maintain independence. Adherence to healthy lifestyle behaviors may prevent functional decline. Patients and Methods Project Leading the Way in Exercise and Diet (LEAD), an intervention development study of the Pepper Older Americans Independence Center, aimed to determine whether breast and prostate cancer survivors (age 65+ years) assigned to a 6-month home-based diet and exercise intervention experienced improvements in PF when compared with an attention control arm receiving general health information. An accrual target was set at 420, and PF (Short Form-36 subscale), physical activity (Community Healthy Activities Models Program for Seniors), and diet quality (index from 3-day recalls) were assessed at baseline and at 6 and 12 months (6 months after intervention). Results This developmental project did not achieve its accrual target (N = 182); however, PF change scores were in the direction and of the magnitude projected. Baseline to 6-month change scores in the intervention versus the control arms were as follows: PF, +3.1 v −0.5 (P = .23); physical activity energy expenditure, +111 kcal/wk v −400 kcal/wk (P = .13); and diet quality index, +2.2 v −2.9 (P = .003), respectively. Differences between arms diminished during the postintervention period. Conclusion These findings suggest that home-based diet and exercise interventions hold promise in improving lifestyle behaviors among older cancer survivors, changes that trend toward improved PF. Future studies should incorporate larger sample sizes and interventions that sustain long-term effects and also take into account secular trends; these efforts will require adequate planning and resources to overcome the numerous barriers to intervening in this difficult to reach yet vulnerable population.

scholarly journals Development and Application of a Total Diet Quality Index for Toddlers

Nutrients ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1943
Author(s):  
Melissa C. Kay ◽  
Emily W. Duffy ◽  
Lisa J. Harnack ◽  
Andrea S. Anater ◽  
Joel C. Hampton ◽  
...  
Keyword(s):  
Young Children ◽  
Diet Quality ◽  
Quality Index ◽  
National Sample ◽  
Dietary Guidelines ◽  
Dietary Quality ◽  
Measurement Tool ◽  
Infants And Toddlers ◽  
Dietary Recall ◽  
Diet Quality Index

For the first time, the 2020–2025 Dietary Guidelines for Americans include recommendations for infants and toddlers under 2 years old. We aimed to create a diet quality index based on a scoring system for ages 12 to 23.9 months, the Toddler Diet Quality Index (DQI), and evaluate its construct validity using 24 h dietary recall data collected from a national sample of children from the Feeding Infants and Toddlers Study (FITS) 2016. The mean (standard error) Toddler DQI was 49 (0.6) out of 100 possible points, indicating room for improvement. Toddlers under-consumed seafood, greens and beans, and plant proteins and over-consumed refined grains and added sugars. Toddler DQI scores were higher among children who were ever breastfed, lived in households with higher incomes, and who were Hispanic. The Toddler DQI performed as expected and offers a measurement tool to assess the dietary quality of young children in accordance with federal nutrition guidelines. This is important for providing guidance that can be used to inform public health nutrition policies, programs, and practices to improve diets of young children.

scholarly journals Scoring models of a diet quality index and the predictive capability of mortality in a population-based cohort of Swedish men and women

2012 ◽  
Vol 16 (3) ◽  
pp. 468-478 ◽  
Author(s):  
Isabel Drake ◽  
Bo Gullberg ◽  
Emily Sonestedt ◽  
Peter Wallström ◽  
Margaretha Persson ◽  
...  
Keyword(s):  
Diet Quality ◽  
Quality Index ◽  
Population Based ◽  
Dietary Recommendations ◽  
Predictive Capability ◽  
Men And Women ◽  
Scoring Model ◽  
Diet Quality Index ◽  
Specific Mortality ◽  
Dietary Indices

AbstractObjectiveTo examine how different scoring models for a diet quality index influence associations with mortality outcomes.DesignA study within the Malmö Diet and Cancer cohort. Food and nutrient intakes were estimated using a diet history method. The index included six components: SFA, PUFA, fish and shellfish, fibre, fruit and vegetables, and sucrose. Component scores were assigned using predefined (based on dietary recommendations) and population-based cut-offs (based on median or quintile intakes). Multivariate Cox regression was used to model associations between index scores (low, medium, high) and all-cause and cause-specific mortality by sex.SettingMalmö, the third largest city in Sweden.SubjectsMen (n 6940) and women (n 10 186) aged 44–73 years. During a mean follow-up of 14·2 years, 2450 deaths occurred, 1221 from cancer and 709 from CVD.ResultsThe predictive capability of the index for mortality outcomes varied with type of scoring model and by sex. Stronger associations were seen among men using predefined cut-offs. In contrast, the quintile-based scoring model showed greater predictability for mortality outcomes among women. The scoring model using median-based cut-offs showed low predictability for mortality among both men and women.ConclusionsThe scoring model used for dietary indices may have a significant impact on observed associations with disease outcomes. The rationale for selection of scoring model should be included in studies investigating the association between dietary indices and disease. Adherence to the current dietary recommendations was in the present study associated with decreased risk of all-cause and cause-specific mortality, particularly among men.

MO598COMPARISON OF GUT MICROBIOTA COMPOSITION BETWEEN PERITONEAL DIALYSIS PATIENTS AND HEALTHY HOUSEHOLD CONTACTS

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Renata Rodrigues Teixeira ◽  
Laila S. Andrade ◽  
Natalia Barros Ferreira Pereira ◽  
Christian Hoffmann ◽  
Lilian Cuppari
Keyword(s):  
Peritoneal Dialysis ◽  
Gut Microbiota ◽  
Diet Quality ◽  
Quality Index ◽  
Control Group ◽  
Microbiota Composition ◽  
Household Contacts ◽  
Diet Quality Index ◽  
Feces Sample ◽  
Gut Microbiota Composition

Abstract Background and Aims According to some studies, it seems that advanced chronic kidney disease (CKD) has the potential to cause alterations in the composition of patients gut microbiota. Most of these data have been provided by comparing the microbiota profile between patients and healthy individuals. However, well-known factors that influence the microbiota composition such as age, environment and diet were not considered in the majority of these comparative studies. In the present study, we aimed to compare the gut microbiota composition between patients on peritoneal dialysis (PD) and age-paired healthy household contacts. Method This is a cross-sectional study. Patients undergoing automated PD for at least 3 months, aged 18 to 75 years and clinically stable were enrolled. Those who were using prebiotics, probiotics, symbiotics and antibiotics within a period of 30 days before the study, were not included. A healthy control group was composed by individuals living in the same home and with similar age of the patients. Participants received sterile materials to collect the feces sample and were instructed to keep it refrigerated and bring to the clinic within a period of 12h. To evaluate the microbial profile, 16S ribosomal DNA was PCR-amplified and sequenced on an IlluminaMiSeq platform. Diet was evaluated using a 3-day food record and the diet quality was analyzed by a Brazilian Diet Quality Index. Rome IV questionnaire was applied to diagnose constipation. Nutritional status was assessed by 7-point subjective global assessment (SGA) and body mass index (BMI). Fasting blood samples were collected and clinical data were obtained from interviewing the participants and from the patient’s charts. Data are presented in percentage, mean ± standard deviation or median (interquartile range). Results Twenty patients (PD group) and 20 healthy household contacts (control group) were studied. In PD group: 70% were men, 53.5 (48.2 - 66) years old, 50% had diabetes, BMI 25.9 ± 4.8 kg/m², 95% well-nourished, 40% constipated, 14 (5.2 – 43.5) months on dialysis and 80% had residual diuresis. In control group: 30% were men, 51.5 (46.2 - 59.7) years old, BMI 28.7 ± 3.5 kg/m² and 20% constipated. Except of sex (p = 0.01) and BMI (p = 0.04), there were no other differences between groups. Comparing dietary intake between groups, no difference was found in daily energy [PD: 20.8 ± 5.4 kcal/kg/d vs. control: 22.0 ± 5.6 kcal/kg/d, p = 0.51], protein (PD: 0.8 ± 0.2 g/kg/d vs. control: 0.9 ± 0.2 g/kg/d, p = 0.23) and fiber [PD: 14.1 (10.7 – 21.1) g/d vs. 13.7 (10.4 – 18.0) g/d, p = 0.85]. In addition, the Diet Quality Index was also not different between groups (PD: 52.3 ± 15.6 vs. control: 54.5 ± 14.8, p = 0.65). Regarding microbiota composition, no difference was found between groups in alfa diversity (Figure 1), beta diversity (p&gt;0.05), and genera differential abundance (Figure 2). Conclusion In the present study, no difference in the gut microbiota composition was found between patients on PD and healthy household contacts sharing a similar environment and diet. This result suggests that CKD and PD seem not to alter significantly gut microbiota composition.

Sign in / Sign up

Export Citation Format

Share Document