scholarly journals Association of Dog and Cat Ownership with Incident Frailty among Community-Dwelling Elderly Japanese

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Yu Taniguchi ◽  
Satoshi Seino ◽  
Mariko Nishi ◽  
Yui Tomine ◽  
Izumi Tanaka ◽  
...  
Keyword(s):  
Regression Models ◽  
Mail Survey ◽  
Community Dwelling ◽  
Social Benefits ◽  
Logistic Regression Models ◽  
Dog Walking ◽  
Animal Interaction ◽  
Elderly Japanese ◽  
Stratified Analysis

AbstractAccumulating evidence from studies of human–animal interaction highlights the physiological, psychological, and social benefits for older owners of dogs and cats. This longitudinal study examined whether experience of dog/cat ownership protects against incident frailty in a population of community-dwelling older Japanese. Among 7881 non-frail community-dwelling adults aged 65 years or older who completed a mail survey in 2016, 6,197 (mean [SD] age, 73.6 [5.3] years; 53.6% women) were reevaluated in a 2018 follow-up survey. Frailty was assessed with the Kaigo-Yobo Checklist. Incident frailty was defined as a score of four or higher in the follow-up survey. Overall, 870 (14.0%) were current dog/cat owners, 1878 (30.3%) were past owners and 3449 (55.7%) were never owners. During the 2-year follow-up period, 918 (14.8%) developed incident frailty. Mixed-effects logistic regression models showed that the odds ratio for incident frailty among dog/cat owners, as compared with never owners, current owners were 0.87 (95% confidence interval [CI]: 0.69–1.09) and past owner were 0.84 (0.71–0.98), after controlling for important confounders at baseline. In stratified analysis, the risk of incident frailty was lower for past dog owners than for cat owners. Longer experience of caring for a dog requires physical activity and increases time outdoors spent dog walking and thus may have an important role in maintaining physical and social function and reducing frailty risk among older adults.

scholarly journals EFFECT OF FREQUENCY OF PARTICIPATING IN THE REGION ACTIVITY ON FUNCTIONAL DECLINE

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S124-S124
Author(s):  
Masashi Yasunaga ◽  
Hisashi Kawai ◽  
Hirohiko Hirano ◽  
Hiroyuki Suzuki ◽  
Yoshinori Fujiwara ◽  
...  
Keyword(s):  
Older Adults ◽  
Functional Status ◽  
Functional Decline ◽  
Mail Survey ◽  
Community Dwelling ◽  
Independent Effect ◽  
Logistic Regression Models ◽  
Japanese Older Adults ◽  
Independent Effects

Abstract This 3-year prospective study was conducted to explore whether frequency of participating in the region activity exert independent effect on preventing functional decline among urban Japanese older adults after controlling for potential confounders. We examined a prospective cohort of 2,524 community-dwelling persons, aged 65 years or older, who responded to the baseline mail survey in Toshima ward, Tokyo, Japan in 2014. They were followed for the subsequent 3 years in terms of functional status. Multiple logistic regression models were used to analyze independent effects of frequency of participating in the region activity, such as 1) no participation, 2) no participation in the past year, 3) less than one day per month, 4) few days per month, 5) over one day per week, on functional status, controlling for potential confounders such as age, gender, self-rated health, chronic conditions and social capital at baseline. At baseline, the mean age of 1,261 participants who completely responded to follow-up survey in 2018 was72.1 years (SD=5.0), and 56.9% were women. As results of analyzing, only “over one day per week” was significant predictors of preventing subsequent functional decline even after adjustment for confounders (odds ratios .361; 95% CI .180–.725). Frequency of participating in the region activity over one day per week have effect on preventing functional decline among urban Japanese older adults after controlling for potential confounders.

Pain as a Risk Factor for Loneliness Among Older Adults

2017 ◽  
Vol 30 (9) ◽  
pp. 1450-1461 ◽  
Author(s):  
Kerstin Emerson ◽  
Ian Boggero ◽  
Glenn Ostir ◽  
Jayani Jayawardhana
Keyword(s):  
Older Adults ◽  
Regression Models ◽  
Functional Decline ◽  
Premature Mortality ◽  
Community Dwelling ◽  
Logistic Regression Models ◽  
Community Dwelling Older Adults ◽  
Retirement Study ◽  
Time Point

Objective: The objective of this is to examine whether pain is associated with the onset of loneliness in a sample of community-dwelling older adults. Methods: We used data from the 2008 and 2012 Health and Retirement Study. We limited the sample to community-dwelling persons aged 60 years and over who were not lonely in 2008 in order to predict the risk of onset of loneliness (incidence) in 2012. Our analytic sample included 1,563 observations. Results: Approximately 31.7% of participants reported loneliness at follow-up (2012). Logistic regression models showed that the odds of loneliness onset was 1.58 higher for those with pain at both time points, compared with those who had pain at neither time point, even after controlling for other covariates. Discussion: The results indicate that pain may increase the risk of loneliness in older adults. This suggests that appropriate pain interventions could prevent future loneliness, which in turn could prevent functional decline, disability, and premature mortality.

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.

scholarly journals Low HbA1c levels and all-cause or cardiovascular mortality among people without diabetes: the US National Health and Nutrition Examination Survey 1999–2015

2020 ◽  
Author(s):  
Kosuke Inoue ◽  
Roch Nianogo ◽  
Donatello Telesca ◽  
Atsushi Goto ◽  
Vahe Khachadourian ◽  
...  
Keyword(s):  
Cardiovascular Mortality ◽  
Regression Models ◽  
Machine Learning Algorithms ◽  
Logistic Regression Models ◽  
Health And Nutrition ◽  
Increased Risk ◽  
The Us ◽  
All Cause Mortality ◽  
Hba1c Levels

Abstract Objective It is unclear whether relatively low glycated haemoglobin (HbA1c) levels are beneficial or harmful for the long-term health outcomes among people without diabetes. We aimed to investigate the association between low HbA1c levels and mortality among the US general population. Methods This study includes a nationally representative sample of 39 453 US adults from the National Health and Nutrition Examination Surveys 1999–2014, linked to mortality data through 2015. We employed the parametric g-formula with pooled logistic regression models and the ensemble machine learning algorithms to estimate the time-varying risk of all-cause and cardiovascular mortality by HbA1c categories (low, 4.0 to <5.0%; mid-level, 5.0 to <5.7%; prediabetes, 5.7 to <6.5%; and diabetes, ≥6.5% or taking antidiabetic medication), adjusting for 72 potential confounders including demographic characteristics, lifestyle, biomarkers, comorbidities and medications. Results Over a median follow-up of 7.5 years, 5118 (13%) all-cause deaths, and 1116 (3%) cardiovascular deaths were observed. Logistic regression models and machine learning algorithms showed nearly identical predictive performance of death and risk estimates. Compared with mid-level HbA1c, low HbA1c was associated with a 30% (95% CI, 16 to 48) and a 12% (95% CI, 3 to 22) increased risk of all-cause mortality at 5 years and 10 years of follow-up, respectively. We found no evidence that low HbA1c levels were associated with cardiovascular mortality risk. The diabetes group, but not the prediabetes group, also showed an increased risk of all-cause mortality. Conclusions Using the US national database and adjusting for an extensive set of potential confounders with flexible modelling, we found that adults with low HbA1c were at increased risk of all-cause mortality. Further evaluation and careful monitoring of low HbA1c levels need to be considered.

scholarly journals Ethnic differences in the incidence of pterygium in a multi-ethnic Asian population: the Singapore Epidemiology of Eye Diseases Study

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xiao Ling Fang ◽  
Crystal Chun Yuen Chong ◽  
Sahil Thakur ◽  
Zhi Da Soh ◽  
Zhen Ling Teo ◽  
...  
Keyword(s):  
Ethnic Differences ◽  
Regression Models ◽  
Multivariable Analysis ◽  
Anterior Segment ◽  
Asian Population ◽  
Eye Diseases ◽  
Logistic Regression Models ◽  
Income Status ◽  
Baseline Visit

AbstractWe evaluated the 6-year incidence and risk factors of pterygium in a multi-ethnic Asian population. Participants who attended the baseline visit of the Singapore Epidemiology of Eye Diseases Study (year 2004–2011) and returned six years later, were included in this study. Pterygium was diagnosed based on anterior segment photographs. Incident pterygium was defined as presence of pterygium at 6-year follow-up in either eye, among individuals without pterygium at baseline. Multivariable logistic regression models were used to determine factors associated with incident pterygium, adjusting for baseline age, gender, ethnicity, body mass index, occupation type, educational level, income status, smoking, alcohol consumption, presence of hypertension, diabetes and hyperlipidemia. The overall age-adjusted 6-year incidence of pterygium was 1.2% (95% confidence interval [CI] 1.0–1.6%); with Chinese (1.9%; 95% CI 1.4%-2.5%) having the highest incidence rate followed by Malays (1.4%; 95% CI 0.9%-2.1%) and Indians (0.3%; 95% CI 0.3–0.7%). In multivariable analysis, Chinese (compared with Indians; odds ratio [OR] = 4.21; 95% CI 2.12–9.35) and Malays (OR 3.22; 95% CI 1.52–7.45), male (OR 2.13; 95% CI 1.26–3.63), outdoor occupation (OR 2.33; 95% CI 1.16–4.38), and smoking (OR 0.41; 95% CI 0.16–0.87) were significantly associated with incident pterygium. Findings from this multi-ethnic Asian population provide useful information in identifying at-risk individuals for pterygium.

scholarly journals The impact of lockdown during SARS-CoV-2 outbreak on behavioral and psychological symptoms of dementia

2021 ◽  
Vol 42 (3) ◽  
pp. 825-833
Author(s):  
Arianna Manini ◽  
Michela Brambilla ◽  
Laura Maggiore ◽  
Simone Pomati ◽  
Leonardo Pantoni
Keyword(s):  
Logistic Regression ◽  
Psychological Symptoms ◽  
Neuropsychiatric Symptoms ◽  
Community Dwelling ◽  
Caregiver Distress ◽  
Neuropsychiatric Inventory ◽  
Logistic Regression Models ◽  
The Impact ◽  
Behavioral And Psychological Symptoms

Abstract Background During Covid-19 pandemic, the Italian government adopted restrictive limitations and declared a national lockdown on March 9, which lasted until May 4 and produced dramatic consequences on people’s lives. The aim of our study was to assess the impact of prolonged lockdown on behavioral and psychological symptoms of dementia (BPSD). Methods Between April 30 and June 8, 2020, we interviewed with a telephone-based questionnaire the caregivers of the community-dwelling patients with dementia who had their follow-up visit scheduled from March 9 to May 15 and canceled due to lockdown. Among the information collected, patients’ BPSDs were assessed by the Neuropsychiatric Inventory (NPI). Non-parametric tests to compare differences between NPI scores over time and logistic regression models to explore the impact of different factors on BPSD worsening were performed. Results A total of 109 visits were canceled and 94/109 caregivers completed the interview. Apathy, irritability, agitation and aggression, and depression were the most common neuropsychiatric symptoms experienced by patients both at baseline and during Covid-19 pandemic. Changes in total NPI and caregiver distress scores between baseline and during lockdown, although statistically significant, were overall modest. The logistic regression model failed to determine predictors of BPSD worsening during lockdown. Conclusion This is one of the first studies to investigate the presence of BPSD during SARS-CoV-2 outbreak and related nationwide lockdown, showing only slight, likely not clinically relevant, differences in BPSD burden, concerning mostly agitation and aggression, anxiety, apathy and indifference, and irritability.

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 Alcohol consumption and pregnancy in the Mexican national addiction survey

1997 ◽  
Vol 13 (2) ◽  
pp. 205-211 ◽  
Author(s):  
Guilherme Borges ◽  
Roberto Tapia-Conyer ◽  
Malaquías López-Cervantes ◽  
María Elena Medina-Mora ◽  
Blanca Pelcastre ◽  
...  
Keyword(s):  
Alcohol Consumption ◽  
Spontaneous Abortion ◽  
Regression Models ◽  
Congenital Abnormalities ◽  
Adverse Outcomes ◽  
Multiple Logistic Regression ◽  
National Data ◽  
Logistic Regression Models ◽  
Important Relationship

In 1988, the General Directorate of Epidemiology and the Mexican Institute of Psychiatry conducted the first National Addiction Survey (ENA), providing regional and national data on alcohol, tobacco, and drug use. The ENA providing a subsample of women who have been pregnant at some time in their lives. There were 5,234 affirmative responses. Women were asked if they had suffered any of three adverse outcomes during their last pregnancy: spontaneous abortion, stillbirth, and congenital abnormalities. Prevalence of spontaneous abortion was 3.8%, stillbirth 1.2%, and congenital abnormalities 1.1 %. Multiple logistic-regression models were used to analyze the effect of alcohol consumption on these problems. Consumption during pregnancy was related only with the prevalence of congenital abnormalities, with prevalence odds of 3.4. Among habitual users during the last 12 months, oniy women in the highest use category showed an important relationship with the three problems mentioned. Follow-up studies on the Mexican population are recommended in order to obtain more conclusive findings.

scholarly journals Body Composition in Community-Dwelling Older Adults Before and After SARS-CoV-2 Infection: A Longitudinal Prospective Study in a Rural Village Struck by the Pandemic

2021 ◽  
Vol 12 ◽  
pp. 215013272110477
Author(s):  
Oscar H. Del Brutto ◽  
Robertino M. Mera ◽  
Denisse A. Rumbea ◽  
Pedro Pérez ◽  
Bettsy Y. Recalde ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Body Composition ◽  
Regression Models ◽  
Community Dwelling ◽  
The Body ◽  
Study Results ◽  
The Impact ◽  
Community Dwelling Older Adults

Background: Information on the body composition of inhabitants of remote communities during the SARS-CoV-2 pandemic is limited. Using a longitudinal population-based study design, we assessed the association between SARS-CoV-2 infection and changes in body composition. Methods: Community-dwelling older adults living in a rural Ecuadorian village received body composition determinations before and 1 year after the pandemic as well as serological tests for detection of SARS-CoV-2 antibodies. The independent association between SARS-CoV-2 infection and abnormalities in body composition at follow-up was assessed by fitting linear mixed models for longitudinal data. Results: Of 327 enrolled individuals, 277 (85%) received baseline and follow-up body composition determinations, and 175 (63%) of them became SARS-CoV-2 seropositive. Overall, diet and physical activity deteriorated during the follow-up. Multivariate random-effects generalized least squares regression models that included the impact of time and seropositivity on follow-up body composition, showed that neither variable contributed to a worsening in body composition. Multivariate logistic regression models disclosed that the serological status at follow-up cannot be predicted by differences in body composition and other baseline covariates. Conclusions: Study results suggest no increased susceptibility to SARS-CoV-2 infection among older adults with abnormal body composition and no significant changes as a result of worse physical activity and dietary habits or seropositivity during the length of the study. Together with a previous study in the same population that showed decrease in hand-grip strength after SARS-CoV-2, results confirm that dynapenia (and not sarcopenia) is associated with SARS-CoV-2 infection in older adults.

scholarly journals Coffee Consumption, Genetic Polymorphisms, and the Risk of Type 2 Diabetes Mellitus: A Pooled Analysis of Four Prospective Cohort Studies

2020 ◽  
Vol 17 (15) ◽  
pp. 5379
Author(s):  
An Na Kim ◽  
Hyun Jeong Cho ◽  
Jiyoung Youn ◽  
Taiyue Jin ◽  
Moonil Kang ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Regression Models ◽  
Coffee Consumption ◽  
Pooled Analysis ◽  
Random Effects Model ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Logistic Regression Models

The association between coffee consumption and the risk of type 2 diabetes may vary by genetic variants. Our study addresses the question of whether the incidence of type 2 diabetes is related to the consumption of coffee and whether this relationship is modified by polymorphisms related to type 2 diabetes. We performed a pooled analysis of four Korean prospective studies that included 71,527 participants; median follow-up periods ranged between 2 and 13 years. All participants had completed a validated food-frequency questionnaire (FFQ) at baseline. The odds ratios (ORs) and 95% confidence intervals (CIs) for type 2 diabetes were calculated using logistic regression models. The ORs were combined using a fixed or random effects model depending on the heterogeneity across the studies. Compared with 0 to <0.5 cups/day of coffee consumption, the OR for type 2 diabetes was 0.89 (95% CI: 0.80–0.98, p for trend = 0.01) for ≥3 cups/day of coffee consumption. We did not observe significant interactions by five single nucleotide polymorphisms (SNPs) related to type 2 diabetes (CDKAL1 rs7756992, CDKN2A/B rs10811661, KCNJ11 rs5215, KCNQ1 rs163184, and PEPD rs3786897) in the association between coffee and the risk of type 2 diabetes. We found that coffee consumption was inversely associated with the risk of type 2 diabetes.

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