The Impact of Experience on Undergraduate Preregistration Student Nurses' Responses to Patients in Pain: A 2-Year Qualitative Longitudinal Study

2014 ◽  
Vol 15 (1) ◽  
pp. 199-207 ◽  
Author(s):  
Carolyn Mackintosh-Franklin
Keyword(s):  
Longitudinal Study ◽  
Student Nurses ◽  
The Impact

516 Impacts of Chronic Nausea and Vomiting on Daytime Sleepiness and Fatigue

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A203-A203
Author(s):  
Maurice Ohayon ◽  
Y J Chen ◽  
Marie-Lise Cote
Keyword(s):  
Longitudinal Study ◽  
Daytime Sleepiness ◽  
Nausea And Vomiting ◽  
Prospective Longitudinal Study ◽  
Logistic Regression Models ◽  
Related Quality ◽  
Health Related ◽  
Chronic Nausea ◽  
Prospective Longitudinal ◽  
The Impact

Abstract Introduction Chronic nausea and vomiting (CNV), common symptoms in patients with GI disorders like gastroparesis, can be a debilitating health problem with considerable impact on patients’ health-related quality of life during daytime. Yet, little is known about how CNV may impact on sleepiness and fatigue during the daytime. Our aim was to examine the impact of CNV on daytime sleepiness and fatigue based on the data from a longitudinal study. Methods Prospective longitudinal study with two waves: 12,218 subjects interviewed by phone during wave 1 (W1); 10,931 during wave 2 (W2) three years later. The sample was representative of the US general population. Analyses included subjects participating to both waves (N=10,931). CNV was defined as episodes of nausea and vomiting occurring at least twice a month for at least 1 month (outside pregnancy). Logistic regression models were employed to determine whether CNV is a predictive variable for excessive sleepiness or fatigue. Results Out of all W1 participants, 9.8% (95% CI: 9.2%-10.4%) reported nausea only while 3% (95% CI: 2.7%-3.3%) reported CNV. In W2, 7.7% (95% CI: 7.2%-8.2%) reported nausea only and 2.5% (95% CI: 2.2%-2.8%) reported having CNV. Of the subjects who participated in both W1 and W2, 25.7% of them reported CNV in W1. CNV subjects reported more frequently excessive daytime sleepiness (53.5% vs. 25.9%) and being moderately or severely fatigued (38.6% vs, 5.4%) compared with the participants without nausea or vomiting. After controlling for age, sex, BMI, health status, alcohol intake, sleep disorders and psychiatric disorders that might impact on daytime sleepiness or fatigue, it was found that subjects with CNV at both W1 and W2 had a significantly higher relative risk of reporting daytime sleepiness (RR: 2.7 (95% CI:1.9–3.9) p<0.0001) and fatigue (RR: 4.9 (95% CI:3.2–7.5) p<0.0001) at W2, compared with the participants without nausea or vomiting. Conclusion Many factors are likely to influence daytime sleepiness. CNV appears to be an important contributor even after controlling for several factors that can explain the sleepiness. This underlines the extent to which alertness could be disturbed and impacted by chronicity of nausea/vomiting symptoms. Support (if any) This analysis study was funded by Takeda Pharmaceutical Company

scholarly journals A longitudinal study over 40 years to study the metabolic syndrome as a risk factor for cardiovascular diseases

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Lars Lind ◽  
Johan Sundström ◽  
Johan Ärnlöv ◽  
Ulf Risérus ◽  
Erik Lampa
Keyword(s):  
Metabolic Syndrome ◽  
Risk Factor ◽  
Longitudinal Study ◽  
Clinical Intervention ◽  
The Elderly ◽  
Adult Men ◽  
The Metabolic Syndrome ◽  
The Impact ◽  
Over 40 Years

AbstractThe impact of most, but not all, cardiovascular risk factors decline by age. We investigated how the metabolic syndrome (MetS) was related to cardiovascular disease (CVD) during 40 years follow-up in the Uppsala Longitudinal Study of Adult Men (ULSAM, 2,123 men all aged 50 at baseline with reinvestigations at age 60, 70, 77 and 82). The strength of MetS as a risk factor of incident combined end-point of three outcomes (CVD) declined with ageing, as well as for myocardial infarction, ischemic stroke and heart failure when analysed separately. For CVD, the risk ratio declined from 2.77 (95% CI 1.90–4.05) at age 50 to 1.30 (95% CI 1.05–1.60) at age 82. In conclusion, the strength of MetS as a risk factor of incident CVD declined with age. Since MetS was significantly related to incident CVD also at old age, our findings suggest that the occurrence of MetS in the elderly should not be regarded as innocent. However, since our data were derived in an observational study, any impact of MetS in the elderly needs to be verified in a randomized clinical intervention trial.

scholarly journals Correction to: The impact of novel and traditional food bank approaches on food insecurity: a longitudinal study in Ottawa, Canada

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Anita Rizvi ◽  
Rania Wasfi ◽  
Aganeta Enns ◽  
Elizabeth Kristjansson
Keyword(s):  
Longitudinal Study ◽  
Food Insecurity ◽  
Traditional Food ◽  
Food Bank ◽  
The Impact

Assessment of incident frailty hazard associated with depressive symptoms in a Taiwanese longitudinal study

2021 ◽  
pp. 1-10
Author(s):  
Che-Chia Chang ◽  
Chi-Shin Wu ◽  
Han-Yun Tseng ◽  
Chun-Yi Lee ◽  
I-Chien Wu ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Longitudinal Study ◽  
Rural Areas ◽  
Healthy Aging ◽  
Asian Population ◽  
Epidemiological Studies ◽  
Frailty Status ◽  
Health Need ◽  
The Impact

ABSTRACT Objectives: To estimate the risks of depressive symptoms for developing frailty, accounting for baseline robust or pre-frailty status. Design: An incident cohort study design. Setting: Community dwellers aged 55 years and above from urban and rural areas in seven regions in Taiwan. Participants: A total of 2,717 participants from the Healthy Aging Longitudinal Study in Taiwan (HALST) were included. Subjects with frailty at baseline were excluded. The average follow-up period was 5.9 years. Measurements: Depressive symptoms were measured by the 20-item Center for Epidemiological Studies Depression (CES-D) Scale. Frailty was assessed using the Fried frailty measurement. Participants were stratified by baseline robust or pre-frailty status to reduce the confounding effects of the shared criteria between depressive symptoms and frailty. Overall and stratified survival analyses were conducted to assess risks of developing frailty as a result of baseline depressive symptoms. Results: One hundred individuals (3.7%) had depressive symptoms at baseline. Twenty-seven individuals (27.0%) with depressive symptoms developed frailty, whereas only 305 out of the 2,617 participants (11.7%) without depressive symptoms developed frailty during the follow-up period. After adjusting for covariates, depressive symptoms were associated with a 2.6-fold (95% CI 1.6, 4.2) increased hazard of incident frailty. The patterns of increased hazard were also observed when further stratified by baseline robust or pre-frailty status. Conclusions: Depressive symptoms increased the risk of developing frailty among the older Asian population. The impact of late-life depressive symptoms on physical health was notable. These findings also replicated results from Western populations. Future policies on geriatric public health need to focus more on treatment and intervention against geriatric depressive symptoms to prevent incident frailty among older population.

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