Trajectories of Depressive Symptoms and Incident Diabetes: A Prospective Study

2021 ◽  
Author(s):  
Rachel J Burns ◽  
Esther Briner ◽  
Norbert Schmitz
Keyword(s):  
Depressive Symptoms ◽  
Incident Diabetes ◽  
Diabetes Incidence ◽  
Single Time ◽  
Increased Risk ◽  
Trajectory Group ◽  
Single Time Point ◽  
Over Time ◽  
Time Point

Abstract Background Elevated depressive symptoms are associated with an increased risk for diabetes. Depression is a heterogeneous and chronic condition in which symptoms may remit, emerge, lessen, or intensify over time. Purpose The purpose of this study was to determine if trajectories of depressive symptoms measured at five time points over 8 years predicted incident diabetes over an 8-year follow-up in middle-aged and older adults. A secondary aim was to determine if trajectories of depressive symptoms predict incident diabetes, above and beyond depressive symptoms measured at a single time point. Methods Data came from the Health and Retirement Study (n = 9,233). Depressive symptoms were measured biennially from 1998 to 2006. Self-reported incident diabetes was measured during an 8-year follow-up. Results Five trajectories of depressive symptoms were identified (no depressive symptoms, low depressive symptoms, low-moderate depressive symptoms, moderate depressive symptoms, elevated and increasing depressive symptoms). Compared to the no depressive symptoms trajectory group (referent), all other trajectory groups were at higher risk of developing diabetes after adjusting for covariates. In most cases, trajectory group membership was associated with incident diabetes after controlling for depressive symptoms at a single time point. Conclusions Patterns of depressive symptoms over time were associated with incident diabetes. Patterns of depressive symptoms may be more predictive of diabetes incidence than depressive symptoms measured at a single time point.

scholarly journals So Where Do You See This Going? The Effects of Commitment Asymmetry and Asynchrony on Relationship Satisfaction and Breakup

2022 ◽  
Author(s):  
Kiersten Dobson ◽  
Brian G Ogolsky ◽  
Sarah C. E. Stanton
Keyword(s):  
Relationship Satisfaction ◽  
Romantic Partners ◽  
Negatively Associated ◽  
Single Time ◽  
Previous Time ◽  
Relationship Outcomes ◽  
Single Time Point ◽  
Over Time ◽  
Time Point

We test the contribution of multiple types of romantic partners’ commitment asymmetry (discrepancies between partners’ commitment at a single time point) and asynchrony (discrepancies in the progression of commitment over time) to later relationship satisfaction and breakup. In three dyadic studies (N = 6,960 couples) over months (Study 1), days (Study 2), and years (Study 3), commitment asymmetry and asynchrony consistently did not predict satisfaction or breakup when controlling for commitment scores of individuals and their partners. Only one’s own commitment and proportion of downturns in commitment (when participants reported lower commitment than the previous time point) consistently predicted satisfaction across all three studies. For breakup, women’s (but not men’s) commitment was consistently negatively associated with breakup and proportion of downturns was consistently positively associated with breakup. Our findings indicate that, contrary to some significant findings in prior research, commitment asymmetry and asynchrony are not indicative of future relationship outcomes.

scholarly journals Resolution of Fatty Liver and Risk of Incident Diabetes

2013 ◽  
Vol 98 (9) ◽  
pp. 3637-3643 ◽  
Author(s):  
Ki-Chul Sung ◽  
Sarah H. Wild ◽  
Christopher D. Byrne
Keyword(s):  
Type 2 Diabetes ◽  
Fatty Liver ◽  
Incident Diabetes ◽  
Increased Risk ◽  
Retrospective Study Design ◽  
Occupational Cohort ◽  
Design And Methods ◽  
Over Time

Context: Fatty liver is associated with an increased risk of type 2 diabetes, but whether an increased risk remains in people in whom fatty liver resolves over time is not known. Objective: The objective of the study was to assess the risk of incident diabetes at a 5-year follow-up in people in whom: 1) new fatty liver developed; 2) existing fatty liver resolved, and 3) fatty liver severity worsened over 5 years. Design and Methods: A total of 13 218 people without diabetes at baseline from a Korean occupational cohort were examined at baseline and after 5 years, using a retrospective study design. Fatty liver status was assessed at baseline and follow-up as absent, mild, or moderate/severe using standard ultrasound criteria. Adjusted odds ratios (aORs) and 95% confidence intervals (CIs) for incident diabetes at follow-up were estimated after controlling for multiple potential confounders. Results: Two hundred thirty-four people developed incident diabetes. Over 5 years, fatty liver resolved in 828, developed in 1640, and progressed from mild to moderate/severe in 324 people. Resolution of fatty liver was not associated with a risk of incident diabetes [aOR 0.95 (95% CIs 0.46, 1.96), P = .89]. Development of new fatty liver was associated with incident diabetes [aOR 2.49 (95% CI 1.49, 4.14), P < .001]. In individuals in whom severity of fatty liver worsened over 5 years (from mild to moderate/severe), there was a marked increase in the risk of incident diabetes [aOR 6.13 (2.56, 95% CI 14.68) P < .001 (compared with the risk in people with resolution of fatty liver)]. Conclusion: Change in fatty liver status over time is associated with markedly variable risks of incident diabetes.

scholarly journals Does psychological distress directly increase risk of incident cardiovascular disease? Evidence from a prospective cohort study using a longer-term measure of distress

BMJ Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. e039628
Author(s):  
Jennifer Welsh ◽  
Emily Banks ◽  
Grace Joshy ◽  
Peter Butterworth ◽  
Lyndall Strazdins ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Cohort Study ◽  
Psychological Distress ◽  
Functional Limitations ◽  
Single Time ◽  
Time Points ◽  
Health Related ◽  
Single Time Point ◽  
Time Point

ObjectiveCardiovascular disease (CVD) incidence is elevated among people with psychological distress. However, whether the relationship is causal is unclear, partly due to methodological limitations, including limited evidence relating to longer-term rather than single time-point measures of distress. We compared CVD relative risks for psychological distress using single time-point and multi-time-point assessments using data from a large-scale cohort study.DesignWe used questionnaire data, with data collection at two time-points (time 1: between 2006 and 2009; time 2: between 2010 and 2015), from CVD-free and cancer-free 45 and Up Study participants, linked to hospitalisation and death records. The follow-up period began at time 2 and ended on 30 November 2017. Psychological distress was measured at both time-points using Kessler 10 (K10), allowing assessment of single time-point (at time 2: high (K10 score: 22–50) vs low (K10 score: <12)) and multi-time-point (high distress (K10 score: 22–50) at both time-points vs low distress (K10 score: <12) at both time-points) measures of distress. Cox regression quantified the association between distress and major CVD, with and without adjustment for sociodemographic and health-related characteristics, including functional limitations.ResultsAmong 83 906 respondents, 7350 CVD events occurred over 410 719 follow-up person-years (rate: 17.9 per 1000 person-years). Age-adjusted and sex-adjusted rates of major CVD were elevated by 50%–60% among those with high versus low distress for both the multi-time-point (HR=1.63, 95% CI 1.40 to 1.90) and single time-point (HR=1.53, 95% CI 1.39 to 1.69) assessments. HRs for both measures of distress attenuated with adjustment for sociodemographic and health-related characteristics, and there was little evidence of an association when functional limitations were taken into account (multi-time-point HR=1.09, 95% CI 0.93 to 1.27; single time-point HR=1.14, 95% CI 1.02 to 1.26).ConclusionIrrespective of whether a single time-point or multi-time-point measure is used, the distress–CVD relationship is substantively explained by sociodemographic characteristics and pre-existing physical health-related factors.

scholarly journals Gait Speed as a Predictor for Diabetes Incidence in People with or at Risk of Knee Osteoarthritis: A Longitudinal Analysis from the Osteoarthritis Initiative

2021 ◽  
Vol 18 (9) ◽  
pp. 4414
Author(s):  
Aqeel M. Alenazi ◽  
Bader A. Alqahtani ◽  
Vishal Vennu ◽  
Mohammed M. Alshehri ◽  
Ahmad D. Alanazi ◽  
...  
Keyword(s):  
At Risk ◽  
Gait Speed ◽  
Area Under The Curve ◽  
Incident Diabetes ◽  
Future Research ◽  
Cutoff Score ◽  
Diabetes Incidence ◽  
Knee Oa ◽  
Osteoarthritis Initiative

Background: This study examined the association between baseline gait speed with incident diabetes mellitus (DM) among people with or at elevated risk for knee OA. Materials and Methods: Participants from the Osteoarthritis Initiative, aged 45 to 79 years, where included. Participants with or at risk of knee OA from baseline to the 96-month visit were included. Participants with self-reported DM at baseline were excluded. DM incidence was followed over the 4-time points. Gait speed was measured at baseline using a 20-m walk test. Generalized estimating equations with logistic regression were utilized for analyses. Receiver operator characteristic curves and area under the curve were used to determine the cutoff score for baseline speed. Results: Of the 4313 participants included in the analyses (58.7% females), 301 participants had a cumulative incidence of DM of 7.0% during follow-up. Decreased gait speed was a significant predictor of incident DM (RR 0.44, p = 0.018). The threshold for baseline gait speed that predicted incident DM was 1.32 m/s with an area under the curve of 0.59 (p < 0.001). Conclusions: Baseline gait speed could be an important screening tool for identifying people at risk of incident diabetes, and the determined cutoff value for gait speed should be examined in future research.

Six-month trajectories of self-reported depressive symptoms in long-term care

2015 ◽  
Vol 28 (1) ◽  
pp. 71-81 ◽  
Author(s):  
Jane McCusker ◽  
Martin G. Cole ◽  
Philippe Voyer ◽  
Johanne Monette ◽  
Nathalie Champoux ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Long Term Care ◽  
Secondary Analysis ◽  
Depression Scale ◽  
Depression Symptom ◽  
Term Care ◽  
Symptom Trajectory ◽  
Over Time

ABSTRACTBackground:Depression is a common problem in long-term care (LTC) settings. We sought to characterize depression symptom trajectories over six months among older residents, and to identify resident characteristics at baseline that predict symptom trajectory.Methods:This study was a secondary analysis of data from a six-month prospective, observational, and multi-site study. Severity of depressive symptoms was assessed with the 15-item Geriatric Depression Scale (GDS) at baseline and with up to six monthly follow-up assessments. Participants were 130 residents with a Mini-Mental State Examination score of 15 or more at baseline and of at least two of the six monthly follow-up assessments. Individual resident GDS trajectories were grouped using hierarchical clustering. The baseline predictors of a more severe trajectory were identified using the Proportional Odds Model.Results:Three clusters of depression symptom trajectory were found that described “lower,” “intermediate,” and “higher” levels of depressive symptoms over time (mean GDS scores for three clusters at baseline were 2.2, 4.9, and 9.0 respectively). The GDS scores in all groups were generally stable over time. Baseline predictors of a more severe trajectory were as follows: Initial GDS score of 7 or more, female sex, LTC residence for less than 12 months, and corrected visual impairment.Conclusions:The six-month course of depressive symptoms in LTC is generally stable. Most residents who experience a more severe symptom trajectory can be identified at baseline.

Depressive symptoms in a treated multiple sclerosis cohort

2003 ◽  
Vol 9 (6) ◽  
pp. 616-620 ◽  
Author(s):  
Scott B Patten ◽  
Shanika Fridhandler ◽  
Cynthia A Beck ◽  
Luanne M Metz
Keyword(s):  
Multiple Sclerosis ◽  
Depressive Symptoms ◽  
Interferon Beta ◽  
Rating Scale ◽  
Epidemiological Studies ◽  
Treatment Groups ◽  
Increased Risk ◽  
The University ◽  
Depression Ratings

Background: Recent side effect data from clinical trials of interferon beta in multiple sclerosis (MS) have failed to confirm that these medications are associated with an increased risk of depression. However, these studies have used highly selected samples and the results may not be generalizable to real world settings. Methods: C linical data on subjects from southern A lberta who have applied for, or are receiving, public reimbursement for MS treatment are maintained in a database at the University of C algary Multiple Sclerosis C linic. Depression ratings obtained using the C enter for Epidemiological Studies Depression Rating Scale (C ES-D) are included in this database. In the current analysis, these longitudinal data were used to determine whether depressive symptoms were associated with disease-modifying treatments. Results: A t baseline, ratings were available for 163 subjects. Those choosing interferon beta resembled those choosing glatiramer acetate in most respects. During follow-up, no differences were observed in the prevalence or incidence of depression and C ES-D scores were not found to differ between the treatment groups. Conclusions: The failure to identify higher rates of depression both in previous intervention studies and in the current observational study provides confirmation that these drugs are not substantially associated with the occurrence of depression.

scholarly journals Community prevalence of SARS-CoV-2 in England: Results from the ONS Coronavirus Infection Survey Pilot

2020 ◽  
Author(s):  
Koen B Pouwels ◽  
Thomas House ◽  
Julie V Robotham ◽  
Paul Birrell ◽  
Andrew B Gelman ◽  
...  
Keyword(s):  
Risk Factors ◽  
Credible Interval ◽  
Control Measures ◽  
Cross Sectional ◽  
Direct Patient Contact ◽  
Increased Risk ◽  
Potential Risk Factors ◽  
Coronavirus Infection ◽  
Over Time

Objective: To estimate the percentage of individuals infected with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) over time in the community in England and to quantify risk factors. Design: Repeated cross-sectional surveys of population-representative households with longitudinal follow-up if consent given. Setting: England. Participants: 34,992 Individuals aged 2 years and over from 16,722 private residential households. Data were collected in a pilot phase of the survey between 26 April and 28 June 2020. Main outcome measures: Percentage of individuals in the community testing positive for SARS-CoV-2 RNA using throat and nose swabs. Individuals were asked about any symptoms and potential risk factors. Results: The percentage of people in private-residential households testing positive for SARS-CoV-2 reduced from 0.32% (95% credible interval (CrI) 0.19% to 0.52%) on 26 April to 0.08% (95% CrI 0.05% to 0.12%) on 28 June, although the prevalence stabilised near the end of the pilot. Factors associated with an increased risk of testing positive included having a job with direct patient contact (relative exposure (RE) 4.06, 95% CrI 2.42 to 6.77)), working outside the home (RE 2.49, 95% CrI 1.39 to 4.45), and having had contact with a hospital (RE 2.20, 95% CrI 1.09 to 4.16 for having been to a hospital individually and RE 1.95, 95% CrI 0.81 to 4.09 for a household member having been to a hospital). In 133 visits where individuals tested positive, 82 (61%, 95% CrI 53% to 69%) reported no symptoms, stably over time. Conclusion: The percentage of SARS-CoV-2 positive individuals declined between 26 April and 28 June 2020. Positive tests commonly occurred without symptoms being reported. Working outside your home was an important risk factor, indicating that continued monitoring for SARS-CoV-2 in the community will be essential for early detection of increases in infections following return to work and other relaxations of control measures.

A combination of different diagnostic tools allows identification of inactive hepatitis B virus carriers at a single time point evaluation

2016 ◽  
Vol 37 (3) ◽  
pp. 362-368 ◽  
Author(s):  
Sergio Maimone ◽  
Gaia Caccamo ◽  
Giovanni Squadrito ◽  
Angela Alibrandi ◽  
Francesca Saffioti ◽  
...  
Keyword(s):  
Hepatitis B Virus ◽  
Hepatitis B ◽  
Diagnostic Tools ◽  
Point Evaluation ◽  
Single Time ◽  
B Virus ◽  
Single Time Point ◽  
Time Point
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