scholarly journals Work-life balance predicted work ability two years later: a cohort study of employees in the Swedish energy and water sector

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Erik Berglund ◽  
Ingrid Anderzén ◽  
Åsa Andersén ◽  
Per Lindberg
Keyword(s):  
Logistic Regression ◽  
Cohort Study ◽  
Work Ability ◽  
Regression Models ◽  
Work Life ◽  
Personal Life ◽  
Life Balance ◽  
Logistic Regression Models ◽  
Mental Demands ◽  
Longitudinal Associations

Abstract Background Work-life balance (WLB) is the extent to which individual’s multiple life roles and demands carry over between each role. WLB can be divided into work interference with personal life (WIPL) and personal life interference with work (PLIW). This study aimed to investigate longitudinal associations between WIPL, PLIW and work ability outcomes. Methods In this cohort study, 224 employees in the energy and water sector in Sweden were followed-up over 2 years. Three questions derived from the Work Ability Index were used for measuring work ability outcome: current work ability compared with lifetime best; work ability regarding physical; and mental demands. Logistic regression models were used to analyse longitudinal associations between work ability and WIPL and WIPL respectively, controlling for workplace (company), position at work, experience of leadership quality, demographics, and work ability. Results Work ability compared to lifetime best were associated with WIPL in the adjusted logistic regression models (odds ratio (OR) 1.77, 95% confidence interval (CI) 1.15–2.73), and PLIW (OR 3.34, 95% CI 1.66–6.74). Work ability regarding physical demands was associated with WIPL (OR 1.60, 95% CI 1.07–2.40). Work ability regarding mental demands was associated with WIPL (OR 1.59, 95% CI 1.03–2.44) and PLIW (OR 2.88, 95% CI 1.31–6.32). Conclusion In this two-year longitudinal study, lower WIPL predicted good/excellent overall work ability compared with lifetime best, higher work ability regarding physical and mental demands, and lower PLIW predicted good/excellent overall work ability compared with lifetime best and higher work ability regarding and mental demands.

Fall Worry Restricts Social Engagement in Older Adults

2019 ◽  
Vol 32 (5-6) ◽  
pp. 422-431 ◽  
Author(s):  
Namkee G. Choi ◽  
Martha L. Bruce ◽  
Diana M. DiNitto ◽  
C. Nathan Marti ◽  
Mark E. Kunik
Keyword(s):  
Older Adults ◽  
Logistic Regression ◽  
Social Engagement ◽  
Regression Models ◽  
Multinomial Logistic Regression ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Health Related ◽  
Reported Health ◽  
Longitudinal Associations

Objective: To examine cross-sectional and longitudinal associations between (a) activity-limiting fall worry (ALW) and (b) self-reported health-related restrictions and social engagement among older adults. Method: The National Health and Aging Trends Study Waves 5 (T1) and 6 (T2) provided data ( n = 6,279). Binary and multinomial logistic regression models were used to examine association of T2 social engagement restrictions with T2 fall worry and association of T1–T2 changes in social engagement restrictions with T1–T2 changes in fall worry. Results: ALW was significantly associated with both informal and formal social engagement restriction at T2. Onset of ALW and continued ALW between T1 and T2 were also significantly associated with newly reported restrictions in both informal and formal social engagement at T2 even controlling for falls incidents and changes in health status and other covariates. Discussion: The findings underscore the importance of reducing fall worry and preventing social disengagement in late life.

scholarly journals Biopsy in emergency gastroscopy does not increase the risk of rebleeding in patients with Forrest I acute nonvariceal upper gastrointestinal bleeding combined with suspected malignant gastric ulcer: a multicenter retrospective cohort study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Quchuan Zhao ◽  
Tianyu Chi
Keyword(s):  
Logistic Regression ◽  
Gastric Ulcer ◽  
Cohort Study ◽  
Propensity Score ◽  
Propensity Score Matching ◽  
Retrospective Cohort ◽  
Regression Models ◽  
Upper Gastrointestinal Bleeding ◽  
Logistic Regression Models ◽  
Upper Gastrointestinal

Abstract Background Few studies have reported whether a biopsy in emergency gastroscopy (EG) increased the risk of rebleeding in patients with Forrest I acute nonvariceal upper gastrointestinal bleeding (ANVUGIB) combined with suspected malignant gastric ulcer (SMGU). This study aims to conduct a multicenter retrospective cohort study using propensity score matching to verify whether a biopsy in EG increases the risk of rebleeding in patients diagnosed with Forrest I ANVUGIB combined with SMGU. Methods Using the data for propensity-matched patients, logistic regression models were fitted using rebleeding as the dependent variable. Survival time was defined as the length of time the patient experienced from visiting the emergency department to rebleeding. We used the Kaplan–Meier (KM) method to analyze the 30-day survival of the patients with and without a biopsy after matching, and the log-rank test was performed to examine the differences in survival. Results With the use of propensity score matching, 308 patients who underwent a biopsy in EG were matched with 308 patients who did not. In the five logistic regression models, there were no significant group differences in the risk of rebleeding in patients with Forrest I ANVUGIB combined with SMGU between the biopsy and no-biopsy groups. The probability of survival was not significantly different between the no-biopsy and biopsy groups. Conclusions In this multicenter, retrospective propensity score matching cohort study, compared with patients without a biopsy, patients with a biopsy during EG had no increased risk of rebleeding, and there was no significant difference in the rate of rebleeding.

scholarly journals Prevalence of chronic chikungunya and associated risks factors in the French West Indies (La Martinique). A prospective cohort study

2019 ◽  
Author(s):  
Bertolotti Antoine ◽  
Thioune Marême ◽  
Abel Sylvie ◽  
Belrose Gilda ◽  
Calmont Isabelle ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Cohort Study ◽  
Acute Phase ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Regression Models ◽  
Functional Disability ◽  
Univariate Analysis ◽  
Logistic Regression Models ◽  
Adequate Hydration

AbstractBackgroundThe chikungunya virus (CHIKV) is a re-emerging alphavirus that can cause chronic rheumatic musculoskeletal disorders, named chronic chikungunya (CHIKC+), which may be long-term incapacitating. A chikungunya outbreak occurred in 2013 in La Martinique. We constituted the first prospective cohort study of CHIKV-infected subjects in the Caribbean to assess the prevalence of CHIKC+ at 12 months and to search for factors present at the acute stage significantly associated with chronicity.Methodology/Principal findingsA total of 193 patients who tested positive for RT-PCR CHIKV, were submitted to clinical investigations in the acute phase (<21 days), and 3, 6, and 12 months after their inclusion. A total of 167 participants could be classified as either suffering or not from CHIKC+. They were analyzed using logistic regression models. At 12 months, the overall prevalence of CHIKC+ was 52.1% (95%CI: 44.5-59.7). In univariate analysis, age (OR: 1.04; 95% CI: 1.02-1.07; p=0.0003), being male (OR: 0.51; 95%CI: 0.27-0.98; p=0.04), headache (OR: 1.90; 95%CI: 1.02-3.56; p=0.04), vertigo (OR: 2.06; 95%CI: 1.05-4.03; p=0.04), vomiting (OR: 2.51; 95%CI: 1.07-5.87; p = 0.03), urea (OR: 1.33; 95%CI: 1.05-1.70; p=0.02) were associated with CHIKC+. In final multivariate logistic regression models for 167 participants, predictors of CHIKC+ were age (OR 1.06; 95%CI: 1.03-1.08; p<0.0001), male sex (OR: 0.40; 95%CI: 0.19-0.84; p=0.015), vertigo (OR: 2.46; 95%CI: 1.16-5.20; p=0.019), hypotension (OR 4.72; 95% -CI: 1.19-18.79; p=0.028), recoloration time >3 seconds (OR: 3.79; 95%-CI: 1.01-14.25).ConclusionsThis cohort study in La Martinique confirms that CHIKC+ is a frequent complication of acute chikungunya disease. Analysis emphasized the importance of age and female sex for CHIKC occurrence, and pointed out the potential aggravating role of dehydration at the acute phase. Early and adequate hydration could reduce the risk chronic chikungunya disorders.Author SummaryChikungunya is a mosquito-borne virus found in tropical countries that has been re-emerging in the last decade. It has caused major epidemics in recent years, such as in Reunion Island and in Southeast Asia. Nearly 2.5 billion people around the world are at risk of contracting the virus. During the acute phase of the illness, patients experience a flu-like syndrome with fever, headache, myalgia, rash, and severe arthralgia. These symptoms can persist for several months in some patients, and can lead to significant functional disability. During the 2013 epidemic in Martinique, we followed nearly 200 patients who had contracted chikungunya. More than half of the patients had a chronic form of the disease—mainly women over 50 years of age. Our statistical analyses indicate that poor hydration during the acute phase may be a risk factor for developing chronic rheumatism. Therefore, in the context of a chikungunya epidemic, it seems important to encourage patients to drink plenty of fluids as soon as the first symptoms appear.

scholarly journals Effects of food items and related nutrients on metabolic syndrome using Bayesian multilevel modelling using the Tehran Lipid and Glucose Study (TLGS): a cohort study

BMJ Open ◽  
2018 ◽  
Vol 8 (12) ◽  
pp. e020642 ◽  
Author(s):  
Zahra Cheraghi ◽  
Saharnaz Nedjat ◽  
Parvin Mirmiran ◽  
Nazanin Moslehi ◽  
Nasrin Mansournia ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Logistic Regression ◽  
Cohort Study ◽  
Regression Models ◽  
Multilevel Modelling ◽  
Confidence Limits ◽  
Logistic Regression Models ◽  
Food Items ◽  
Highly Correlated ◽  
Sparse Data Bias

ObjectivesDiet and nutrition might play an important role in the aetiology of metabolic syndrome (MetS). Most studies that examine the effects of food intake on MetS have used conventional statistical analyses which usually investigate only a limited number of food items and are subject to sparse data bias. This study was undertaken with the goal of investigating the concurrent effect of numerous food items and related nutrients on the incidence of MetS using Bayesian multilevel modelling which can control for sparse data bias.DesignProspective cohort study.SettingThis prospective study was a subcohort of the Tehran Lipid and Glucose Study. We analysed dietary intake as well as pertinent covariates for cohort members in the fourth (2008–2011) and fifth (2011–2014) follow-up examinations. We fitted Bayesian multilevel model and compared the results with two logistic regression models: (1) full model which included all variables and (2) reduced model through backward selection of dietary variables.Participants3616 healthy Iranian adults, aged ≥20 years.Primary and secondary outcome measuresIncident cases of MetS.ResultsBayesian multilevel approach produced results that were more precise and biologically plausible compared with conventional logistic regression models. The OR and 95% confidence limits for the effects of the four foods comparing the Bayesian multilevel with the full conventional model were as follows: (1) noodle soup (1.20 (0.67 to 2.14) vs 1.91 (0.65 to 5.64)), (2) beans (0.96 (0.5 to 1.85) vs 0.55 (0.03 to 11.41)), (3) turnip (1.23 (0.68 to 2.23) vs 2.48 (0.82 to 7.52)) and (4) eggplant (1.01 (0.51 to 2.00) vs 1 09 396 (0.152×10–6to 768×1012)). For most food items, the Bayesian multilevel analysis gave narrower confidence limits than both logistic regression models, and hence provided the highest precision.ConclusionsThis study demonstrates that conventional regression methods do not perform well and might even be biased when assessing highly correlated exposures such as food items in dietary epidemiological studies. Despite the complexity of the Bayesian multilevel models and their inherent assumptions, this approach performs superior to conventional statistical models in studies that examine multiple nutritional exposures that are highly correlated.

scholarly journals Geospatial Distribution and Predictors of Mortality in Hospitalized Patients With COVID-19: A Cohort Study

2020 ◽  
Vol 7 (10) ◽  
Author(s):  
◽  
S K Mallipattu ◽  
R Jawa ◽  
R Moffitt ◽  
J Hajagos ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Logistic Regression ◽  
Cohort Study ◽  
Length Of Stay ◽  
Regression Models ◽  
Kidney Injury ◽  
Hospital Length ◽  
Hospitalized Patients ◽  
Hospital Length Of Stay ◽  
Logistic Regression Models

Abstract Background The global coronavirus disease 2019 (COVID-19) pandemic offers the opportunity to assess how hospitals manage the care of hospitalized patients with varying demographics and clinical presentations. The goal of this study was to demonstrate the impact of densely populated residential areas on hospitalization and to identify predictors of length of stay and mortality in hospitalized patients with COVID-19 in one of the hardest hit counties internationally. Methods This was a single-center cohort study of 1325 sequentially hospitalized patients with COVID-19 in New York between March 2, 2020, to May 11, 2020. Geospatial distribution of study patients’ residences relative to population density in the region were mapped, and data analysis included hospital length of stay, need and duration of invasive mechanical ventilation (IMV), and mortality. Logistic regression models were constructed to predict discharge dispositions in the remaining active study patients. Results The median age of the study cohort (interquartile range [IQR]) was 62 (49–75) years, and more than half were male (57%) with history of hypertension (60%), obesity (41%), and diabetes (42%). Geographic residence of the study patients was disproportionately associated with areas of higher population density (rs = 0.235; P = .004), with noted “hot spots” in the region. Study patients were predominantly hypertensive (MAP &gt; 90 mmHg; 670, 51%) on presentation with lymphopenia (590, 55%), hyponatremia (411, 31%), and kidney dysfunction (estimated glomerular filtration rate &lt; 60 mL/min/1.73 m2; 381, 29%). Of the patients with a disposition (1188/1325), 15% (182/1188) required IMV and 21% (250/1188) developed acute kidney injury. In patients on IMV, the median (IQR) hospital length of stay in survivors (22 [16.5–29.5] days) was significantly longer than that of nonsurvivors (15 [10–23.75] days), but this was not due to prolonged time on the ventilator. The overall mortality in all hospitalized patients was 15%, and in patients receiving IMV it was 48%, which is predicted to minimally rise from 48% to 49% based on logistic regression models constructed to project disposition in the remaining patients on ventilators. Acute kidney injury during hospitalization (odds ratioE, 3.23) was the strongest predictor of mortality in patients requiring IMV. Conclusions This is the first study to collectively utilize the demographics, clinical characteristics, and hospital course of COVID-19 patients to identify predictors of poor outcomes that can be used for resource allocation in future waves of the pandemic.

scholarly journals Gender-specific prevalence and influencing factors of osteopenia and osteoporosis in Chinese rural population: the Henan Rural Cohort Study

BMJ Open ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. e028593 ◽  
Author(s):  
Dou Qiao ◽  
Xiaotian Liu ◽  
Runqi Tu ◽  
Xia Zhang ◽  
Xinling Qian ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Cohort Study ◽  
Potential Risk ◽  
Rural Population ◽  
Regression Models ◽  
Meta Analysis ◽  
Logistic Regression Models ◽  
Potential Risk Factors ◽  
Prevalence Of Osteoporosis

ObjectiveThe aims of this study were to describe distributions of the prevalence of osteopenia and osteoporosis and identify the potential risk factors by gender in a Chinese rural population.DesignA cross-sectional survey.Setting and participantsA total of 8475 participants (18–79 years) were obtained from the Henan Rural Cohort Study. Bone mineral density (BMD) of the calcaneus for each individual was measured by ultrasonic bone density apparatus. Logistic regression models were used to evaluate associations of potential risk factors with prevalence of osteopenia and osteoporosis. Furthermore, a meta-analysis of prevalence of osteoporosis which included eight studies was conducted to confirm this study results.ResultsThe mean of BMD were 0.42 and 0.32 g/cm2for men with osteopenia and osteoporosis (p<0.001), as well as 0.40 and 0.30 g/cm2(p<0.001) for women with osteopenia and osteoporosis, respectively. The overall age-standardised prevalence of osteopenia and osteoporosis were 42.09% and 11.76% in all participants. The age-standardised prevalence of osteopenia in men (45.98%) was significantly higher than that in women (39.73%), whereas the age-standardised prevalence of osteoporosis in men (7.82%) was lower than that in women (14.38%). Meta-analysis results displayed pooled prevalence of osteoporosis of 18.0% (10.1%–25.8%) in total sample, 7.7% (5.7%–9.7%) in men and 22.4% (17.1%–27.6%) in women. Multivariable logistic regression models showed that ageing, women, low education level or income, drinking or underweight was related to increased risk for osteopenia or osteoporosis.ConclusionsAbout one-sixth of the participants suffered osteoporosis in rural China, and the prevalence in women was higher than men. Although the results were lower than that of meta-analysis, osteoporosis still accounts for huge burden of disease in rural population due to limited medical service and lack of health risk awareness rather than urban area.Trial registration numberChinese Clinical Trial Registry (ChiCTR-OOC-15006699; Pre-results).

Outcomes and predictors of very stable INR control during chronic anticoagulation therapy

Blood ◽  
2009 ◽  
Vol 114 (5) ◽  
pp. 952-956 ◽  
Author(s):  
Daniel M. Witt ◽  
Thomas Delate ◽  
Nathan P. Clark ◽  
Chad Martell ◽  
Thu Tran ◽  
...  
Keyword(s):  
Heart Failure ◽  
Logistic Regression ◽  
Cohort Study ◽  
Regression Models ◽  
Warfarin Therapy ◽  
Anticoagulation Therapy ◽  
International Normalized Ratio ◽  
Multivariate Logistic Regression ◽  
Logistic Regression Models ◽  
Recall Interval

For patients on warfarin therapy, an international normalized ratio (INR) recall interval not exceeding 4 weeks has traditionally been recommended. Less frequent INR monitoring may be feasible in stable patients. We sought to identify patients with stable INRs (defined as having INR values exclusively within the INR range) and comparator patients (defined as at least one INR outside the INR range) in a retrospective, longitudinal cohort study. Occurrences of thromboembolism, bleeding, and death were compared between groups. Multivariate logistic regression models were used to identify independent predictors of stable INR control. There were 2504 stable and 3569 comparator patients. The combined rates of bleeding and thromboembolism were significantly lower in stable patients. Independent predictors of stable INR control were age older than 70 years and the absence of comorbid heart failure and diabetes. Stable patients were significantly less likely to have target INR of 3.0 or higher or chronic diseases. We hypothesize that many patients demonstrating stable INR control could be safely treated with INR recall intervals greater than the traditional 4 weeks.

Characteristics and Outcome of Newly Diagnosed Immune Thrombocytopenia in Adults: Results from a Nationwide Prospective Cohort Study

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 3475-3475
Author(s):  
Bertrand Godeau ◽  
Marc Michel ◽  
Lamiae Grimaldi-Bensouda ◽  
Lucien Abenhaim ◽  
Clementine Nordon ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Risk Factor ◽  
Cohort Study ◽  
Platelet Count ◽  
Regression Models ◽  
Immune Thrombocytopenia ◽  
Autoimmune Disorder ◽  
Degree Relative ◽  
Logistic Regression Models ◽  
History Of

Abstract Objectives The objectives of the study were (1) to describe the clinical features of adult patients presenting with an immune thrombocytopenia (ITP), (2) to explore the predictors of chronicity and (3) to determine whether a family history of autoimmune disorder was a risk factor of ITP. Methods An observational prospective cohort study was conducted in France nationwide. During more than two years, 21 participating physicians from haematology centres recruited all consecutive adults of 18 years old or above, diagnosed with an incident episode of ITP. Data were collected at baseline and 12 months, regarding socio-demographic characteristics, personal and familial medical history, clinical and biological signs of ITP and its medical management, left at the discretion of each physician. Data were collected after 12 months clinical, biological signs of ITP and current medication, from which the outcome was derived: chronicity or recovery. Predictors of chronicity at baseline were explored using univariate logistic regression models, providing the Odds Ratio (OR) and their 95% Confidence Intervals (95%CI). To explore whether having a history of autoimmune disorder in first-degree relative was a risk factor of developing an ITP, referent-patients were drawn from a general practice setting database and matched to ITP-patients (10-1). The risk of developing an ITP was explored using univariate conditional logistic regression models, providing the OR and their 95%CI. Results 153 patients were included over a 28-month period: 94 (61%) patients were female, mean age was 48 years (SD=18.8), and 128 (84%) presented with bleeding symptoms at diagnosis. The median platelet count was 10×109/L. An initial treatment was required in nearly 90% of patients. After 12 months, only 36% of patients were cured without receiving any disease-modifying treatment. The baseline predictors of chronicity at 12 months were a lower platelet count (OR, 1.0; 95%CI, 1.0-1.2) and mucocutaneous bleeding (OR, 0.3; 95%CI, 0.1-1.0). No significant association was found between a history of autoimmune disorder in a first degree relative or the presence of anti-nuclear antibodies and the risk of developing a chronic ITP. Conclusions ITP in adults affects patients with a wide age range, mainly female. ITP is a serious disease in adults with a chronic evolution in a majority of patients that is in contrast with children. Low platelet count and severity of bleeding at the diagnosis were associated with a lower risk of chronic evolution. Disclosures Godeau: Roche: Research Funding; Amgen: Speakers Bureau; Novartis: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Grimaldi-Bensouda:LASER: Consultancy, Other: LASER provide consultancy to various pharma industry (virtually all). Abenhaim:LASER: Employment, Other: LASER provide consultancy to various pharma industry (virtually all). Haioun:Roche: Honoraria.

The impact of SPY angiography on intraoperative decision making and outcomes for post-mastectomy reconstruction

2019 ◽  
pp. 1-5
Keyword(s):  
Decision Making ◽  
Logistic Regression ◽  
Skin Necrosis ◽  
Regression Models ◽  
Multivariable Analysis ◽  
P Value ◽  
Flap Necrosis ◽  
Single Institution ◽  
Logistic Regression Models ◽  
The Impact

Objective: While the use of intraoperative laser angiography (SPY) is increasing in mastectomy patients, its impact in the operating room to change the type of reconstruction performed has not been well described. The purpose of this study is to investigate whether SPY angiography influences post-mastectomy reconstruction decisions and outcomes. Methods and materials: A retrospective analysis of mastectomy patients with reconstruction at a single institution was performed from 2015-2017.All patients underwent intraoperative SPY after mastectomy but prior to reconstruction. SPY results were defined as ‘good’, ‘questionable’, ‘bad’, or ‘had skin excised’. Complications within 60 days of surgery were compared between those whose SPY results did not change the type of reconstruction done versus those who did. Preoperative and intraoperative variables were entered into multivariable logistic regression models if significant at the univariate level. A p-value <0.05 was considered significant. Results: 267 mastectomies were identified, 42 underwent a change in the type of planned reconstruction due to intraoperative SPY results. Of the 42 breasts that underwent a change in reconstruction, 6 had a ‘good’ SPY result, 10 ‘questionable’, 25 ‘bad’, and 2 ‘had areas excised’ (p<0.01). After multivariable analysis, predictors of skin necrosis included patients with ‘questionable’ SPY results (p<0.01, OR: 8.1, 95%CI: 2.06 – 32.2) and smokers (p<0.01, OR:5.7, 95%CI: 1.5 – 21.2). Predictors of any complication included a change in reconstruction (p<0.05, OR:4.5, 95%CI: 1.4-14.9) and ‘questionable’ SPY result (p<0.01, OR: 4.4, 95%CI: 1.6-14.9). Conclusion: SPY angiography results strongly influence intraoperative surgical decisions regarding the type of reconstruction performed. Patients most at risk for flap necrosis and complication post-mastectomy are those with questionable SPY results.

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