Neighborhood Disorder, Perceived Social Cohesion, and Social Participation Among Older Americans: Findings From the National Health & Aging Trends Study

2016 ◽  
Vol 30 (1) ◽  
pp. 3-26 ◽  
Author(s):  
Kenzie Latham ◽  
Philippa J. Clarke
Keyword(s):  
National Health ◽  
Social Cohesion ◽  
Social Participation ◽  
Odds Ratio ◽  
Regression Models ◽  
Neighborhood Disorder ◽  
Older Americans ◽  
Logistic Regression Models ◽  
Health Aging ◽  
The Relationship

Objective: This research explores whether physical neighborhood disorder or perceived social cohesion is associated with participation in social activities among older Americans (age 65+). Method: Using the first wave of the National Health & Aging Trends Study (NHATS; N = 6,383), a series of logistic regression models were created to assess the odds of participation. Results: Low social cohesion was associated with decreased odds of visiting friends and family (odds ratio [OR] = 0.65; 95% confidence interval [CI] = [0.52, 0.82]) and participating in organizations (OR = 0.68; 95% CI = [0.53, 0.88]). Presence of neighborhood disorder was associated with decreased odds of visiting friends and family (OR = 0.62; 95% CI = [0.47, 0.82]), participating in organizations (OR = 0.66; 95% CI = [0.48, 0.89]), and going out for enjoyment (OR = 0.68; 95% CI = [0.53, 0.86]). Physical capacity and activity value moderated the relationship between neighborhood disorder/cohesion and attending religious services. Discussion: Improving neighborhood disorder and social cohesion may increase social participation among older adults.

scholarly journals Soluble ST2 levels for predicting the presence and severity of metabolic syndrome

2021 ◽  
Author(s):  
Xiao Zong ◽  
Qin Fan ◽  
Hang Zhang ◽  
Qian Yang ◽  
Hongyang Xie ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Logistic Regression ◽  
Confidence Interval ◽  
Subgroup Analysis ◽  
Odds Ratio ◽  
Regression Models ◽  
Soluble St2 ◽  
Logistic Regression Models ◽  
The Relationship ◽  
Multivariable Adjustment

To explore the relationship between soluble ST2 (sST2) and metabolic syndrome (MetS) and determine whether sST2 levels can predict the presence and severity of MetS. We evaluated 550 consecutive subjects (58.91 ± 9.69 years, 50% male) with or without MetS from the Department of Vascular and Cardiology, Shanghai Jiao Tong University-Affiliated Ruijin Hospital. Serum sST2 concentrations were measured. The participants were divided into three groups according to the sST2 tertiles. Univariate and multivariable logistic regression models were used to evaluate the association between serum sST2 concentrations and the presence of MetS. Serum sST2 concentrations were significantly higher in the MetS group than in those in the no MetS group (14.80 ± 7.01 vs. 11.58 ± 6.41 ng/ml, P < 0.01). Subjects with more MetS components showed higher levels of sST2. sST2 was associated with the occurrence of MetS after multivariable adjustment as a continuous log-transformed variable (per 1 SD, odds ratio [OR]: 1.42, 95% confidence interval [CI]: 1.13-1.80, P < 0.01). Subgroup analysis showed that individuals with MetS have significantly higher levels of sST2 than those without MetS regardless of sex and age.High serum sST2 levels were significantly and independently associated with the presence and severity of MetS. Thus, sST2 levels may be a novel biomarker and clinical predictor of MetS.

scholarly journals Flock Health Indicators and Campylobacter spp. in Commercial Housed Broilers Reared in Great Britain

2008 ◽  
Vol 74 (17) ◽  
pp. 5408-5413 ◽  
Author(s):  
Stephanie A. Bull ◽  
Alastair Thomas ◽  
Thomas Humphrey ◽  
Johanne Ellis-Iversen ◽  
Alasdair J. Cook ◽  
...  
Keyword(s):  
Great Britain ◽  
Odds Ratio ◽  
Regression Models ◽  
Health Indicators ◽  
Health Data ◽  
Media Management ◽  
Digital Dermatitis ◽  
Logistic Regression Models ◽  
The Relationship ◽  
Campylobacter Spp

ABSTRACT This study investigated the relationship between flock health and Campylobacter infection of housed commercial broilers in Great Britain. Thirty ceca were collected at slaughter from batches of broilers from 789 flocks, at either full or partial depopulation, between December 2003 and March 2006 and examined individually for Campylobacter by direct plating onto selective media. Management and health data were collected from each flock and included information on mortality or culling during rearing, the number of birds rejected for infectious or noninfectious causes at slaughter, the proportion of birds with digital dermatitis (also termed hock burn), and other general characteristics of the flock. Campylobacter spp. were isolated from 280 (35%) flocks. The relationship between bird health and welfare and Campylobacter status of flocks was assessed using random-effects logistic regression models, adjusting for region, month, year, and rearing regime. Campylobacter-positive batches of ceca were associated with higher levels of rejection due to infection (odds ratio [OR], 1.5; 95% confidence interval [CI95%], 0.98 to 2.30) and digital dermatitis (OR, 2.08; CI95%, 1.20 to 3.61). Furthermore, higher levels of these conditions were also associated with the highest-level category of within-flock Campylobacter prevalence (70 to 100%). These results could indicate that improving health and welfare may also reduce Campylobacter in broilers.

scholarly journals Association of Obesity, Multiple Chronic Conditions, and Frailty: the National Health and Aging Trends Survey

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 613-613
Author(s):  
John Batsis ◽  
Christian Haudenschild ◽  
Anna Kahkoska ◽  
Rebecca Crow ◽  
David Lynch ◽  
...  
Keyword(s):  
National Health ◽  
Chronic Conditions ◽  
Regression Models ◽  
Overweight And Obesity ◽  
Multiple Chronic Conditions ◽  
Obesity Epidemic ◽  
Logistic Regression Models ◽  
Adjusted Logistic Regression ◽  
Using Data ◽  
The Relationship

Abstract As life expectancy increases, so does the risk of developing multiple chronic conditions (MCC). This is concerning as there is a growing obesity epidemic in older adults which is also associated with developing chronic diseases. Both obesity and MCC also increase the risk of frailty, yet the intersection of the three is not well understood. We evaluated the relationship between obesity, multimorbidity, and frailty using data from adults ≥65 years from the National Health and Aging Trends Survey. Obesity was classified using standard body mass index categories (e.g., ≥30kg/m2) and waist circumference (WC; females≥88cm; males≥102cm). MCC was classified as having ≥2 chronic conditions. Adjusted logistic regression models evaluated the association of BMI or WC categories on MCC (yes/no). An analysis limited to persons with obesity evaluated the relationship between frailty phenotypes (e.g, robust, pre-frail, frail) and MCC. Of the 4,967 participants (59.7% female), 79% resided in a private residence. The 70-79 age category was most prevalent. In those with MCC, there were 1,511 (30.4%) classified as having obesity using BMI, and 3,358 (67.6%) using WC. In those without MCC, there were 287 (17.6%) and 744 (51.7%). Compared to normal BMI, the odds of MCC was 0.71 [0.46,1.09], 1.25 [1.08,1.45] and 2.59 [2.15,3.11] in underweight, overweight and obesity. In pre-frailty and frailty, the odds of MCC were 2.52 [1.77,3.59] and 8.35 [3.7,18.85] in BMI-defined obesity. Using WC, the odds were 2.38 [1.94,2.91], and 5.89 [3.83,9.06]. Obesity using both BMI and WC are both strongly associated with multimorbidity and frailty.

Demographic factors associated with missed follow-up among solid tumor patients treated at a large multi-site academic institution

2020 ◽  
Vol 16 (32) ◽  
pp. 2635-2643
Author(s):  
Samantha L Freije ◽  
Jordan A Holmes ◽  
Saleh Rachidi ◽  
Susannah G Ellsworth ◽  
Richard C Zellars ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Odds Ratio ◽  
Regression Models ◽  
Tumor Patients ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Follow Up Care ◽  
Risk Patients ◽  
African American Race

Aim: To identify demographic predictors of patients who miss oncology follow-up, considering that missed follow-up has not been well studies in cancer patients. Methods: Patients with solid tumors diagnosed from 2007 to 2016 were analyzed (n = 16,080). Univariate and multivariable logistic regression models were constructed to examine predictors of missed follow-up. Results: Our study revealed that 21.2% of patients missed ≥1 follow-up appointment. African–American race (odds ratio [OR] 1.33; 95% CI: 1.17–1.51), Medicaid insurance (OR 1.59; 1.36–1.87), no insurance (OR 1.66; 1.32–2.10) and rural residence (OR 1.78; 1.49–2.13) were associated with missed follow-up. Conclusion: Many cancer patients miss follow-up, and inadequate follow-up may influence cancer outcomes. Further research is needed on how to address disparities in follow-up care in high-risk patients.

785 Reported Restful Sleep Predicting Emotional Distress: Does Exercise (and its modalities) moderate?

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A305-A306
Author(s):  
Jesse Moore ◽  
Ellita Williams ◽  
Collin Popp ◽  
Anthony Briggs ◽  
Judite Blanc ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Aerobic Exercise ◽  
Regression Models ◽  
Regression Analyses ◽  
Logistic Regression Models ◽  
The Past ◽  
Strengthening Exercise ◽  
Waking Up ◽  
The Relationship ◽  
Age And Sex

Abstract Introduction Literature shows that exercise moderates the relationship between sleep and emotional distress (ED.) However, it is unclear whether different types of exercise, such as aerobic and strengthening, affect this relationship differently. We investigated the moderating role of two types of exercise (aerobic and strengthening) regarding the relationship between ED and sleep. Methods Our analysis was based on data from 2018 National Health Interview Survey (NHIS), a nationally representative study in which 2,814 participants provided all data. Participants were asked 1) “how many days they woke up feeling rested over the past week”, 2) the Kessler 6 scale to determine ED (a score &gt;13 indicates ED), and 3) the average frequency of strengthening or aerobic exercise per week. Logistic regression analyses were performed to determine if the reported days of waking up rested predicted level of ED. We then investigated whether strengthening or aerobic exercise differentially moderated this relationship. Covariates such as age and sex were adjusted in the logistic regression models. Logistic regression analyses were performed to determine if subjective reporting of restful sleep predicted level of ED. We investigated whether strengthening exercise or aerobic exercise differentially moderated this relationship. Covariates such as age and sex were adjusted in the logistic regression models. Results On average, participants reported 4.41 restful nights of sleep (SD =2.41), 3.43 strengthening activities (SD = 3.19,) and 8.47 aerobic activities a week (SD=5.91.) We found a significant association between days over the past week reporting waking up feeling rested and ED outcome according to K6, Χ2(1) = -741, p= &lt;.001. The odds ratio signified a decrease of 52% in ED scores for each unit of restful sleep (OR = .48, (95% CI = .33, .65) p=&lt;.001.) In the logistic regression model with moderation, aerobic exercise had a significant moderation effect, Χ2(1) = .03, p=.04, but strengthening exercise did not. Conclusion We found that restful sleep predicted reduction in ED scores. Aerobic exercise moderated this relationship, while strengthening exercise did not. Further research should investigate the longitudinal effects of exercise type on the relationship between restful sleep and ED. Support (if any) NIH (K07AG052685, R01MD007716, K01HL135452, R01HL152453)

scholarly journals Sex Differences in the Association between Internet Usage and Overweight/Obesity: Evidence from a Nationally Representative Survey in Nepal

Sexes ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 132-143
Author(s):  
Juwel Rana ◽  
Md. Momin Islam ◽  
John Oldroyd ◽  
Nandeeta Samad ◽  
Rakibul Islam
Keyword(s):  
Odds Ratio ◽  
Regression Models ◽  
Internet Use ◽  
Adjusted Odds Ratio ◽  
Internet Usage ◽  
The Internet ◽  
Logistic Regression Models ◽  
Biological Sex ◽  
Obesity Interventions ◽  
Nationally Representative

Objective: To examine the associations between internet use and overweight/obesity in people aged 15–49 years in Nepal and the extent to which these associations differ by biological sex. Materials and methods: The study analyzed the nationally representative Nepal Demographic and Health Survey (NDHS) 2016 data. Multivariable ordinal logistic regression models were fitted to estimate the total effects of internet use (IU) in the last 12 months and frequency of internet use (FIU) in the last month on overweight/obesity adjusted for potential confounders. Results: Of the 10,380 participants, the prevalence of overweight/obesity by IU was 38% (95% confidence interval (CI): 35.9%, 40.1%) for males and 44.1% (95% CI: 41.6%, 46.6%) for female. The likelihood of overweight/obesity was significantly higher (adjusted odds ratio (aOR): 1.55; 95% CI: 1.40, 1.73; p < 0.001) among those participants who used the internet compared to the participants who did not use the internet in the last 12 months. Similar associations were observed when using the augmented measure of exposure-FIU in the last month. We observed the modification effect of sex in the associations of IU (p-difference < 0.001) and FIU (p-difference < 0.002) with overweight/obesity in Nepal. Conclusions: Our findings suggest that future overweight/obesity interventions in Nepal discourage unnecessary internet use, particularly among males.

Abstract 3775: Average Blood Glucose and Mortality in Patients Hospitalized with Acute Myocardial Infarction

Circulation ◽  
2007 ◽  
Vol 116 (suppl_16) ◽  
Author(s):  
Mikhail Kosiborod ◽  
Silvio Inzucchi ◽  
Harlan M Krumholz ◽  
Lan Xiao ◽  
Phillip G Jones ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Hospital Mortality ◽  
Regression Models ◽  
Independent Predictor ◽  
Laboratory Data ◽  
Logistic Regression Models ◽  
Average Blood Glucose ◽  
The Relationship ◽  
Multivariable Adjustment ◽  
Better Than

Background: Elevated blood glucose (BG) on admission is associated with higher mortality risk in patients (pts) hospitalized with AMI. However, the prognostic value of average BG, which reflects overall glycemic exposure much better than admission BG, is unknown. Furthermore, the nature of the relationship between average BG and mortality has not been determined. Methods: We evaluated a cohort of 16,871 AMI pts hospitalized from January 2000-December 2005, using Cerner Corporation’s Health Facts® database from 40 hospitals, which contains demographics, clinical and comprehensive laboratory data. Logistic regression models evaluated the nature of the relationship between mean BG during the entire AMI hospitalization and in-hospital mortality, after adjusting for multiple patient factors and confounders. Similar analyses were performed in subgroups of pts with and without diabetes (DM). Results: A J-shaped relationship was observed between mean BG and in-hospital mortality, which persisted after multivariable adjustment (Figure ). Mortality increased with each 10 mg/dL incremental rise in mean BG over >120 mg/dL, and with incremental decline in mean BG <80 mg/dL. The slope of these relationships was much steeper in pts without DM. Conclusions: Average BG during the entire AMI hospitalization is a powerful independent predictor of in-hospital mortality. Both persistent hyper- and hypoglycemia are associated with adverse prognosis. Whether strategies directed at optimizing BG control will improve survival remains to be established. Association Between Mean BG and In-Hospital Mortality After Multivariable Adjustment (Reference: Mean BG 100 to <110)

scholarly journals The prospective relationship between social cohesion and depressive symptoms among older adults from Central and Eastern Europe

2018 ◽  
Vol 73 (2) ◽  
pp. 117-122 ◽  
Author(s):  
Carla Bertossi Urzua ◽  
Milagros A Ruiz ◽  
Andrzej Pajak ◽  
Magdalena Kozela ◽  
Ruzena Kubinova ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Eastern Europe ◽  
Social Cohesion ◽  
Regression Models ◽  
Central And Eastern Europe ◽  
The Czech Republic ◽  
Logistic Regression Models ◽  
Z Scores ◽  
Prospective Association

BackgroundSocial cohesion has a potential protective effect against depression, but evidence for Central and Eastern Europe is lacking. We investigated the prospective association between social cohesion and elevated depressive symptoms in the Czech Republic, Russia and Poland, and assessed whether alcohol drinking and smoking mediated this association.MethodsCohort data from 15 438 older urban participants from the Health, Alcohol and Psychosocial factors In Eastern Europe project were analysed. Baseline social cohesion was measured by five questions, and depressive symptoms were measured 3 years later by the 10-item Center for Epidemiological Depression (CES-D) Scale. Nested logistic regression models estimated ORs of elevated depressive symptoms (CES-D 10 score ≥4) by z-scores and tertiles of social cohesion.ResultsPer 1 SD decrease in social cohesion score, adjusted ORs of elevated depressive symptoms were 1.13 (95% CI 1.05 to 1.23) and 1.05 (95% CI 0.99 to 1.13) in men and women, respectively. Further adjustment for smoking and drinking did not attenuate these associations in either men (OR=1.13, 95% CI 1.05 to 1.22) or women (OR=1.05, 95% CI 0.99 to 1.13). Similarly, the fully adjusted ORs comparing the lowest versus highest social cohesion tertile were 1.33 (95% CI 1.10 to 1.62) in men and 1.18 (95% CI 1.01 to 1.39) in women.ConclusionsLower levels of social cohesion was associated with heightened depressive symptoms after a 3-year follow-up among older Czech, Russian and Polish adults. These effects appeared stronger in men, and alcohol and smoking played no appreciable role in this association.

scholarly journals Invited Commentary: Social Cohesion, Depression, and the Role of Welfare States

2019 ◽  
Vol 189 (4) ◽  
pp. 354-357
Author(s):  
Mikael Rostila
Keyword(s):  
Social Capital ◽  
Welfare State ◽  
Social Cohesion ◽  
State Theory ◽  
Welfare States ◽  
Future Research ◽  
Neighborhood Disorder ◽  
Welfare Regimes ◽  
The Relationship

Abstract In this issue of the Journal, Baranyi et al. (Am J Epidemiol. 2019;000(00):000–000) examine the longitudinal associations of perceived neighborhood disorder and social cohesion with depressive symptoms among persons aged 50 years or more in 16 different countries. An important contribution of their article is that they study how neighborhood-level social capital relates to depression in different welfare-state contexts. Although the authors provide empirical evidence for some significant differences between welfare states in the relationship between social capital and depression, they say little about potential explanations. In this commentary, I draw attention to welfare-state theory and how it could provide us with a greater understanding of Baranyi et al.’s findings. I also discuss the potential downsides of grouping countries into welfare regimes. I primarily focus on the associations between social cohesion and depression, as these associations were generally stronger than those for neighborhood disorder and depression. Finally, I provide some suggestions for future research within the field and discuss whether the findings could be used to guide policies aimed at increasing social cohesion and health.

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