Association between the Prime Diet Quality Score and depressive symptoms in a Mediterranean population with metabolic syndrome. Cross-sectional and 2-year follow-up assessment from PREDIMED-PLUS study

2021 ◽  
pp. 1-25
Author(s):  
Naomi Cano-Ibáñez ◽  
Lluis Serra-Majem ◽  
Sandra Martín-Peláez ◽  
Miguel Ángel Martínez-González ◽  
Jordi Salas-Salvadó ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Diet Quality ◽  
Quality Score ◽  
High Quality ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Prevalence Of Depression ◽  
The Cross ◽  
Sectional Analysis

Abstract The burden of depression is increasing worldwide, specifically in older adults. Unhealthy dietary patterns may partly explain this phenomenon. In the Spanish PREDIMED-Plus study we explored (1) the cross-sectional association between the adherence to the Prime Diet Quality Score- (PDQS), an a priori-defined high-quality food pattern and the prevalence of depressive symptoms at baseline (cross-sectional analysis), and (2) the prospective association of baseline PDQS with changes in depressive symptomatology after 2 years of follow-up. After exclusions, we assessed 6612 participants in the cross-sectional analysis and 5523 participants in the prospective analysis. An energy-adjusted high-quality dietary score (PDQS) was assessed using a validated food-frequency questionnaire (FFQ). The cross-sectional association between PDQS and the prevalence of depression, presence of depressive symptoms and prospectively assessed changes in depressive symptoms was evaluated through multivariable regression models (logistic and linear models and mixed linear-effects models). PDQS was inversely associated with depressive status in the cross-sectional analysis. Participants in the highest quintile of PDQS (Q5) showed a significantly reduced odds of depression prevalence as compared to participants in the lowest quartile of PDQS (Q1) [OR (95%) CI= 0.82 (0.68, 0.98))]. The baseline prevalence of depression decreased across PDQS quintiles (p for trend=0.015). A statistically significant association between PDQS and changes in depressive symptoms after 2-y follow-up was found (β (95%) CI = −0.67 z-score (−1.17, −0.18). A higher PDQS was cross-sectionally related to a lower depressive status. Nevertheless, the null finding in our prospective analysis, raises the possibility of reverse causality. Further prospective investigation is required to ascertain the association between PDQS and changes in depressive symptoms along time.

An Examination of Audit Report Lag for Banks: A Panel Data Approach

2000 ◽  
Vol 19 (2) ◽  
pp. 159-174 ◽  
Author(s):  
B. Charlene Henderson ◽  
Steven E. Kaplan
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Explanatory Power ◽  
Omitted Variables ◽  
Audit Report ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
The Cross ◽  
Sectional Analysis

This study investigates the determinants of audit report lag (ARL) for a sample of banks. Researchers have been interested in the determinants of ARL, in part, because it impacts the timeliness of public disclosures. However, prior ARL research has relied exclusively on regression analysis of cross-sectional samples of companies from many industries. In addition to focusing exclusively on banks, panel data analysis is introduced and compared with cross-sectional analysis to demonstrate its power in dynamic settings and its potential to improve estimation. Results reveal important differences between cross-sectional analysis and panel data analysis. First, bank size is negatively related to ARL in cross-section but positively related to ARL using panel data analysis. The cross-sectional size estimate is subject to omitted variables bias, and furthermore, cross-sectional analysis fails to capture variation in size over time in relation to ARL. Panel data analysis both accounts for omitted variables and captures the dynamics of the relationship between size and ARL. As well, the panel data model's explanatory power far exceeds that of the cross-sectional model. This is primarily due to the panel model's use of firm-specific intercepts that both capture the role of reporting tradition and eliminate heterogeneity bias. Thus, panel data analysis proves to be a powerful tool in the analysis of ARL.

Are neighborhood restaurants related to frequency of restaurant meals and dietary quality?: Prevalence and changes over time in the Multi-Ethnic Study of Atherosclerosis

2021 ◽  
pp. 1-29
Author(s):  
Amy H. Auchincloss ◽  
Jingjing Li ◽  
Kari A. B. Moore ◽  
Manuel Franco ◽  
Mahasin S. Mujahid ◽  
...  
Keyword(s):  
Healthy Eating Index ◽  
Dietary Quality ◽  
Longitudinal Analyses ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Eating Out ◽  
Restaurant Meals ◽  
Sectional Analysis ◽  
Over Time

Abstract Objective: To examine whether the density of neighbourhood restaurants affected the frequency of eating restaurant meals and subsequently affected diet quality. Design: Cross-sectional and longitudinal designs. Structural equation models assessed the indirect relationship between restaurant density (≤3 miles (4.8 km) of participant addresses) and dietary quality (Healthy Eating Index 2010 (HEI)) via the frequency of eating restaurant meals, after adjustment for sociodemographics, select health conditions, region, residence duration and area-level income. Setting: Urbanised areas in multiple regions of the USA, years 2000–2002 and 2010–2012. Participants: Participants aged 45–84 years were followed for 10 years (n 3567). Results: Median HEI (out of 100) was 59 at baseline and 62 at follow-up. Cross-sectional analysis found residing in areas with a high density of restaurants (highest ranked quartile) was associated with 52% higher odds of frequently eating restaurant meals (≥3 times/week, odds ratio [OR]:1.52, 95% confidence interval [CI] 1.18-1.98) and 3% higher odds of having lower dietary quality (HEI lowest quartile<54, OR:1.03,CI:1.01-1.06); associations were not sustained in longitudinal analyses. Cross-sectional analysis found 34% higher odds of having lower dietary quality for those who frequently ate at restaurants (OR:1.34,CI:1.12-1.61); and more restaurant meals (over time increase ≥1 times/week) was associated with higher odds of having worse dietary quality at follow-up (OR:1.21,CI:1.00-1.46). Conclusions: Restaurant density was associated with frequently eating out in cross-sectional and longitudinal analyses but was associated with the lower dietary quality only in cross-sectional analyses. Frequent restaurant meals were negatively related to dietary quality. Interventions that encourage less frequent eating out may improve population dietary quality.

Association between the FINDRISC score and the risk of metabolic syndrome and hepatic steatosis

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
D Godoi Bernardes Da Silva ◽  
R Dias Santos ◽  
M Sommer Bittencourt ◽  
J.A.M Carvalho ◽  
M Franken ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Hepatic Steatosis ◽  
Longitudinal Analysis ◽  
Metabolic Diseases ◽  
Low Cost ◽  
Cross Sectional ◽  
Predictive Values ◽  
Cross Sectional Analysis ◽  
The Cross ◽  
Sectional Analysis

Abstract Introduction The Finnish Diabetes Risk Score (FINDRISC) was developed in Europe to predict type 2 diabetes mellitus (T2DM) risk without need of laboratory tests. Small cross-sectional studies analyzed the association between RF with metabolic syndrome (MS) or hepatic steatosis (HS). Our objective was to test the association of FINDRISC with MS or HS, in a transversal and longitudinal way. Methods In 41,668 individuals (age 41.9±9.7 years; 30.8% women) who underwent health evaluation between 2008 and 2016 in a single centre in Brazil, we tested the transversal association between FINDRISC and MS or HS, in multivariate models. The same analyzes were performed longitudinally in non-diabetic subgroups, followed for 5±3 years, to test the predictive value of FINDRISC and the incidental risk of MS (n=10,075 individuals) or HS (n=7,097 individuals), using logistic regression. Models were adjusted for confounders such as sex, use of medications for dyslipidemia, smoking, and baseline plasma levels of glucose, creatinine and lipids. A receiver operating characteristic (ROC) curve was used to evaluate the discriminative and predictive values of FINDRISC for MS and HS. Results In the cross-sectional analysis, 2,252 (5%) individuals had MS and 14,176 (34%) HS. In the longitudinal analysis, there were 302 cases of incidental MS (2%) and 1,096 cases of HS (15%). FINDRISC was independently associated with MS and HS in the cross-sectional analysis (respectively, OR 1.27, 95% CI: 1.25–1.28, P&lt;0.001; and OR 1.21, 95% CI: 1.20–1.22, P&lt;0.001, per FINDRISC unit) and in longitudinal analysis (respectively, OR of 1.18, 95% CI: 1.15–1.21, P&lt;0.001; and OR of 1.10, 95% CI: 1.08–1.11, P&lt;0.001, per FINDRISC unit). In comparison with individuals with low FINDRISC, those with moderate, high and very high values showed significant and proportional increases of the 12 to 77 fold in the chance of current SM (P&lt;0.001) and 3 to 10 fold in the chance of HS (P&lt;0.001). During follow-up, these increases were 3 to 10 fold in the chance of incidental MS (P&lt;0.001) and 1 to 3 fold in the chance of HS (P&lt;0.001). The AUC from cross-sectional analysis for MS and HS were respectively 0.82 (95% CI 0.81–0.83) and 0.76 (95% CI 0.75–0.76), and in longitudinal analysis 0.73 (95% CI 0.70–0.76) and 0.63 (95% CI 0.61–0.65), respectively. Conclusion FINDRISC was associated with the presence and onset of MS and HS, but it predicted better metabolic syndrome risk than hepatic steatosis. Therefore, this simple, practical and low-cost score can be useful for population screening and identification of subgroups of individuals at higher risk future metabolic diseases. Funding Acknowledgement Type of funding source: None

Abstract P214: Anxiety and Depressive Symptoms are Associated with Coronary Artery Calcium. A Cross-sectional Analysis of Elsa-Brasil Baseline Data

Circulation ◽  
2016 ◽  
Vol 133 (suppl_1) ◽  
Author(s):  
Itamar S Santos ◽  
Marcio S Bittencourt ◽  
Priscila T Rocco ◽  
Alexandre C Pereira ◽  
Sandhi M Barreto ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Coronary Artery ◽  
Coronary Artery Calcium ◽  
Adult Health ◽  
Older Individuals ◽  
Cross Sectional ◽  
Psychopathological Symptoms ◽  
Cross Sectional Analysis ◽  
Sectional Analysis ◽  
Age And Sex

Background: Prior mostly smaller studies of the association between symptoms of anxiety or depression and CAC have produced mixed results. Our aim was to investigate whether psychopathological symptoms and diagnoses of anxiety and depression were associated with coronary artery calcium (CAC) in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Design: Cross-sectional analysis Methods: We analyzed data from 4,279 ELSA-Brasil subjects (aged 35 to 74 years) from the São Paulo site who underwent CAC score assessment and who were without previous cardiovascular disease at baseline. Prevalent CAC was defined as a CAC score above zero. Anxiety and depressive symptoms were assessed using the Clinical Interview Schedule - Revised (CIS-R). We built binary logistic regression models to determine whether CIS-R scores, anxiety or depression were associated with prevalent CAC. Results: Prevalent CAC was found in 1,211 (28.3%) individuals. After adjustment for age and sex, a direct association between CIS-R scores and prevalent CAC was revealed (odds ratio [OR]:1.12; 95% confidence interval [95%CI]:1.04-1.22). This association persisted after multivariate adjustment for other cardiovascular risk factors (OR:1.11; 95%CI: 1.02-1.20). No independent associations were found for specific diagnoses of anxiety or depression and prevalent CAC. In post-hoc models, we found a significant interaction between age, CIS-R scores, and CAC (p=0.019), suggesting a stronger association in older individuals. Conclusions: Psychopathological symptoms were directly associated with coronary atherosclerosis in the ELSA-Brasil baseline. This association was evident after adjustment for age and sex, persisted in multivariate adjusted models, and seems to be stronger in older individuals.

scholarly journals Australian general practice trainees’ exposure to ophthalmic problems and implications for training: a cross-sectional analysis

2016 ◽  
Vol 8 (4) ◽  
pp. 295 ◽  
Author(s):  
Simon Morgan ◽  
Amanda Tapley ◽  
Kim M Henderson ◽  
Neil A Spike ◽  
Lawrie A McArthur ◽  
...  
Keyword(s):  
General Practice ◽  
Information Seeking ◽  
Learning Goals ◽  
Training Methods ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Australian General Practice ◽  
Simple Logistic ◽  
Sectional Analysis

ABSTRACT INTRODUCTION Eye conditions are common presentations in Australian general practice, with the potential for serious sequelae. Pre-vocational ophthalmology training for General Practitioner (GP) trainees is limited. AIM To describe the rate, nature and associations of ophthalmic problems managed by Australian GP trainees, and derive implications for education and training. METHODS Cross-sectional analysis from an ongoing cohort study of GP trainees’ clinical consultations. Trainees recorded demographic, clinical and educational details of consecutive patient consultations. Descriptive analyses report trainee, patient and practice demographics. Proportions of all problems managed in these consultations that were ophthalmology-related were calculated with 95% confidence intervals (CI). Associations were tested using simple logistic regression within the generalised estimating equations (GEE) framework. RESULTS In total, 884 trainees returned data on 184,476 individual problems or diagnoses from 118,541 encounters. There were 2649 ophthalmology-related problems, equating to 1.4% (95% CI: 1.38–1.49) of all problems managed. The most common eye presentations were conjunctivitis (32.5% of total problems), eyelid problems (14.9%), foreign body (5.3%) and dry eye (4.7%). Statistically significant associations were male trainee; male patient and patient aged 14 years or under; the problem being new and the patient being new to both trainee and practice; urban and of higher socioeconomic status practice location; the practice nurse not being involved; planned follow up not arranged; referral made; in-consultation information sought; and learning goals generated. DISCUSSION Trainees have comparable ophthalmology exposure to established GPs. However, associations with referral and information-seeking suggest GP trainees find ophthalmic problems challenging, reinforcing the critical importance of appropriate training.

scholarly journals Caregiver Status and Diet Quality in Community Dwelling Older Adults

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 205-205
Author(s):  
Sharmin Hossain ◽  
May A Beydoun ◽  
Michele K Evans ◽  
Alan B Zonderman ◽  
Marie Fanelli Kuczmarski
Keyword(s):  
Older Adults ◽  
Diet Quality ◽  
Research Program ◽  
Healthy Eating Index ◽  
Longitudinal Analyses ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Intramural Research Program ◽  
Sectional Analysis ◽  
Over Time

Abstract Objectives Prior studies on caregivers have focused mainly on the diet quality of their recipients, especially children. We investigated both cross-sectional and longitudinal associations of caregiver status and diet quality in older adults (mean 53.0 ± 9.0 years). Methods We studied participants in the Healthy Aging in Neighborhoods of Diversity across the Life Span (HANDLS) study (57.7% women, 62% African American) between wave 3 (2009–2013) and wave 4 (2013–2018). Caregiving was assessed at both waves, starting at wave 3. Healthy Eating Index-2010 (HEI2010) score, a measure of diet quality, was assessed from two 24-hour recalls at each wave on both occasions (mean 4.1 years follow-up). Baseline caregiving (at wave 3) was examined in relation to change in HEI between waves 3 and 4. Multivariable linear regression was performed for cross-sectional analysis; mixed-effects regression was performed for longitudinal analyses. Results are expressed as β-coefficients ± standard error of means (β±SE). Results After adjusting for age, sex, race and poverty status, more time spent taking care of grandchildren (N = 2033) was associated with poor diet quality (–1.51 ± 0.55, P = 0.006) in cross-sectional analysis (wave 4 caregiving and wave 4 HEI). However, in a separate cross-sectional analysis (wave 4 only) on dual (caring for both grandchildren and an elderly person) vs. single caregivers (either grandchildren or elderly) (N = 73; 24 men & 49 women) we found no difference in diet quality. The longitudinal analyses (N = 1848) demonstrated that diet quality did not change with caregiving over time for either grandchildren (P = 0.16) or others (not children & grandchildren) (P = 0.88). Overall, women tended to have better quality diet (P &lt; 0.001) than men. Conclusions Among relatively older caregivers, cross-sectional analyses revealed an inverse effect of caregiving with diet quality. Longitudinal research is needed to evaluate the temporal associations of dual caregiving with subsequent diet quality changes over time. Funding Sources The first author is supported by a Postdoctoral Fellowship from the Intramural Research Program (IRP) at the National Institute on Aging (NIA). HANDLS is supported by the Intramural Research Program, National Institute on Aging, National Institutes of Health, grant Z01-AG000513.

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