Examining the relationships between life satisfaction and alcohol, tobacco and marijuana use among school-aged children

2018 ◽  
Vol 41 (2) ◽  
pp. 346-353 ◽  
Author(s):  
D Lew ◽  
H Xian ◽  
Z Qian ◽  
M G Vaughn
Keyword(s):  
Substance Use ◽  
Life Satisfaction ◽  
Regression Models ◽  
Multinomial Regression ◽  
Individual Substance ◽  
Adolescent Substance ◽  
Logistic Regression Models ◽  
School Aged Children ◽  
The Impact ◽  
The Relationship

Abstract Background There are many known risk factors associated with youth substance use. Nonetheless, the impact of life satisfaction (LS) on the use of alcohol, tobacco and marijuana by adolescents still remains largely unknown. Methods The present analysis utilized data from the Health Behavior in School-Aged Children 2009–10 US study. Multilevel logistic regression models were used to assess the relationship between LS and individual substance use. Multilevel multinomial regression models examined the relationship with total number of substances used. Results After controlling for numerous variables associated with substance use, individuals reporting low LS were significantly more likely to ever use tobacco (OR = 1.34, 95% CI = [1.01, 1.78]), alcohol (OR = 1.45, 95% CI = [1.10, 1.92]) and marijuana (OR = 1.98, 95% CI = [1.39, 2.82]). Additionally, students with low LS were significantly more likely to use two substances (OR = 1.90, 95% CI = [1.15, 3.14]) and three substances concurrently (OR = 2.00, 95% CI = [1.27, 3.16]). Conclusions The present study identified strong associations between LS and individual, as well as concurrent, substance use among adolescents. Interventions aiming to reduce adolescent substance use may benefit from incorporating components to improve LS.

Social Capital in Rural Areas of Vietnam and Its Impact on Households’ Life Satisfaction

2015 ◽  
pp. 60-88 ◽  
Author(s):  
Anh Nguyen Thi Tuong ◽  
Anh Tran Quynh
Keyword(s):  
Social Capital ◽  
Life Satisfaction ◽  
Rural Areas ◽  
Regression Models ◽  
Household Survey ◽  
Physical Factors ◽  
General Trust ◽  
Using Data ◽  
The Impact ◽  
The Relationship

Using data of the Vietnam Access to Resources Household Survey 2014, with the participation of 3,648 households in rural areas of 12 provinces in Vietnam and two models: OLS regression and ordered logit, this paper studied the determinants of social capital in the rural area of Vietnam. Moreover, the paper also analyzed the impact of social capital on life satisfaction and risk coping strategies. Results of regression models confirmed that social capital is the essential ingredient for the life satisfaction of the community and at the same time, social capital also has notable impacts on households’ post-risk recovery. In the relationship with the life satisfaction, all the variables representing social capital, except for general trust, positively affected the growth of life satisfaction of households, aside from physical factors such as income. Therefore, social capital, along with economic growth, was the biggest factor that can help households increase their life satisfaction.

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.

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 The Impact of Weather and Seasons on Falls and Physical Activity among Older Adults with Glaucoma: A Longitudinal Prospective Cohort Study

Sensors ◽  
2021 ◽  
Vol 21 (10) ◽  
pp. 3415
Author(s):  
Hursuong Vongsachang ◽  
Aleksandra Mihailovic ◽  
Jian-Yu E ◽  
David S. Friedman ◽  
Sheila K. West ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Fall Prevention ◽  
Regression Models ◽  
Activity Promotion ◽  
Injurious Fall ◽  
Multivariable Regression ◽  
Multivariable Regression Models ◽  
The Impact ◽  
The Relationship

Understanding periods of the year associated with higher risk for falling and less physical activity may guide fall prevention and activity promotion for older adults. We examined the relationship between weather and seasons on falls and physical activity in a three-year cohort of older adults with glaucoma. Participants recorded falls information via monthly calendars and participated in four one-week accelerometer trials (baseline and per study year). Across 240 participants, there were 406 falls recorded over 7569 person-months, of which 163 were injurious (40%). In separate multivariable regression models incorporating generalized estimating equations, temperature, precipitation, and seasons were not significantly associated with the odds of falling, average daily steps, or average daily active minutes. However, every 10 °C increase in average daily temperature was associated with 24% higher odds of a fall being injurious, as opposed to non-injurious (p = 0.04). The odds of an injurious fall occurring outdoors, as opposed to indoors, were greater with higher average temperatures (OR per 10 °C = 1.46, p = 0.03) and with the summer season (OR = 2.69 vs. winter, p = 0.03). Falls and physical activity should be understood as year-round issues for older adults, although the likelihood of injury and the location of fall-related injuries may change with warmer season and temperatures.

scholarly journals Public or Private Religiosity: Which Is Protective for Adolescent Substance Use and by What Pathways?

2016 ◽  
Vol 49 (2) ◽  
pp. 228-253 ◽  
Author(s):  
Christopher P. Salas-Wright ◽  
Michael G. Vaughn ◽  
Brandy R. Maynard ◽  
Trenette T. Clark ◽  
Susanna Snyder
Keyword(s):  
Substance Use ◽  
Sensation Seeking ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
National Sample ◽  
Adolescent Substance Use ◽  
Public And Private ◽  
Adolescent Substance ◽  
The Relationship ◽  
Private Religiosity

While it is well understood that adolescent religiosity is associated with the use and abuse of licit and illicit substances, few studies have revealed the pathways through which religiosity buffers youth against involvement in such behavior. The aim of this study is to examine the complexity of the relationships between religiosity, sensation seeking, injunctive norms, and adolescent substance use. Using a national sample of adolescents ( N = 18,614), negative binomial regression and path analysis were used to examine the various components of the relationship between religiosity and the use of cigarettes, alcohol, and marijuana. Results indicate that private religiosity moderates the relationship between key risk factors and substance use. Public and private religiosity were associated with tolerant injunctive substance use norms which, in turn, were associated with substance use. Implications for research and theory related to religiosity and adolescent substance use are discussed.

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 Patient-Reported Disease-Modifying Therapy Adherence in the Clinic: A Reliable Metric?

2018 ◽  
Vol 4 (2) ◽  
pp. 205521731877789 ◽  
Author(s):  
Devon S Conway ◽  
Maria Cecilia Vieira ◽  
Nicolas R Thompson ◽  
Kaila N Parker ◽  
Xiangyi Meng ◽  
...  
Keyword(s):  
Regression Models ◽  
Patient Reported Outcomes ◽  
Patient Reporting ◽  
Lesion Formation ◽  
Logistic Regression Models ◽  
Disease Modifying Therapy ◽  
Patient Reported ◽  
Relapsing Remitting ◽  
Disease Modifying ◽  
The Relationship

Background Adherence to multiple sclerosis (MS) disease-modifying therapy (DMT) is commonly assessed through patient reporting, but patient-reported adherence is rarely studied. Objective To determine rates of DMT adherence reported from patient to clinician, reasons for nonadherence, and relationships between adherence and outcomes. Methods We identified relapsing–remitting MS patients on DMT for ≥3 months. DMT adherence was defined as taking ≥80% of doses. Linear and logistic regression models were created used to determine the association of baseline adherence with several patient reported outcomes and the timed 25-foot walk at 6 months, 1 year, 2 years, and 3 years after the index visit. Results The analysis included 1148 patients, of whom 501 had data at 6 months, 544 at 1 year, 331 at 2 years, and 247 at 3 years. Baseline adherence was 94.9% and overall adherence was 93.1%. Forgetting was the most common reason for missed doses. In the adjusted models, adherence was not associated with the outcomes. Conclusions Higher than expected adherence and a lack of association between adherence and outcomes suggests patient reported adherence may not be reliable. Further research is needed to clarify the relationship between patient-reported adherence and relapses or new lesion formation.

Poisoning deaths among late-middle aged and older adults: comparison between suicides and deaths of undetermined intent

2018 ◽  
Vol 31 (08) ◽  
pp. 1159-1169 ◽  
Author(s):  
Namkee G. Choi ◽  
Diana M. DiNitto ◽  
C. Nathan Marti ◽  
Bryan Y. Choi
Keyword(s):  
Substance Use ◽  
Regression Models ◽  
Mental Health Problems ◽  
Multinomial Logistic Regression ◽  
Accurate Determination ◽  
Health Problems ◽  
Life Stressors ◽  
Manner Of Death ◽  
Logistic Regression Models ◽  
Poisoning Deaths

ABSTRACTBackground:Given the rapid increase in prescription and illicit drug poisoning deaths in the 50+ age group, we examined precipitating/risk factors and toxicology results associated with poisoning deaths classified as suicides compared to intent-undetermined death (UnD) among decedents aged 50+.Methods:Data were from the 2005–2015 US National Violent Death Reporting System (N = 15,453). χ2 tests and multinomial logistic regression models were used to compare three groups of decedents: suicide decedent who left a suicide note, suicide decedent who did not leave a note, and UnD cases.Results:Compared to suicide decedents without a note (37.7% of the sample), those with a note (29.4%) were more likely to have been depressed and had physical health problems and other life stressors, while UnD cases (32.9%) were less likely to have had mental health problems and other life stressors but more likely to have had substance use and health problems. UnD cases were also more likely to be opioid (RRR = 2.65, 95% CI = 2.42–2.90) and cocaine (RRR = 2.59, 95% CI = 2.09–3.21) positive but less likely to be antidepressant positive. Blacks were more than twice as likely as non-Hispanic Whites to be UnDs. Results from separate regression models in the highest UnD states (Maryland and Utah) and in states other than Maryland/Utah were similar.Conclusions:Many UnDs may be more correctly classified as unintentional overdose deaths. Along with more accurate determination processes for intent/manner of death, substance use treatment and approaches to curbing opioid and other drug use problems are needed to prevent intentional and unintentional poisoning deaths.

scholarly journals High association of COVID-19 severity with poor gut health score in Lebanese patients

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0258913
Author(s):  
Imad Al Kassaa ◽  
Sarah El Omari ◽  
Nada Abbas ◽  
Nicolas Papon ◽  
Djamel Drider ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Models ◽  
Equal Proportion ◽  
Gut Health ◽  
Kendall’S Tau ◽  
High Association ◽  
Kendall's Tau ◽  
Health Score ◽  
Logistic Regression Models ◽  
The Impact

Background Coronavirus disease 2019 (COVID-19) has affected millions of lives globally. However, the disease has presented more extreme challenges for developing countries that are experiencing economic crises. Studies on COVID-19 symptoms and gut health are scarce and have not fully analyzed possible associations between gut health and disease pathophysiology. Therefore, this study aimed to demonstrate a potential association between gut health and COVID-19 severity in the Lebanese community, which has been experiencing a severe economic crisis. Methods This cross-sectional study investigated SARS-CoV-2 PCR-positive Lebanese patients. Participants were interviewed and gut health, COVID-19 symptoms, and different metrics were analyzed using simple and multiple logistic regression models. Results Analysis of the data showed that 25% of participants were asymptomatic, while an equal proportion experienced severe symptoms, including dyspnea (22.7%), oxygen need (7.5%), and hospitalization (3.1%). The mean age of the participants was 38.3 ±0.8 years, and the majority were males (63.9%), married (68.2%), and currently employed (66.7%). A negative correlation was found between gut health score and COVID-19 symptoms (Kendall’s tau-b = -0.153, P = 0.004); indicating that low gut health was associated with more severe COVID-19 cases. Additionally, participants who reported unhealthy food intake were more likely to experience severe symptoms (Kendall’s tau-b = 0.118, P = 0.049). When all items were taken into consideration, multiple ordinal logistic regression models showed a significant association between COVID-19 symptoms and each of the following variables: working status, flu-like illness episodes, and gut health score. COVID-19 severe symptoms were more common among patients having poor gut health scores (OR:1.31, 95%CI:1.07–1.61; P = 0.008), experiencing more than one episode of flu-like illness per year (OR:2.85, 95%CI:1.58–5.15; P = 0.001), and owning a job (OR:2.00, 95%CI:1.1–3.65; P = 0.023). Conclusions To our knowledge, this is the first study that showed the impact of gut health and exposure to respiratory viruses on COVID-19 severity in Lebanon. These findings can facilitate combating the pandemic in Lebanon.

scholarly journals Do RATs save lives? A retrospective analysis of out-of-hospital cardiac arrest in an English Ambulance Service

2018 ◽  
Vol 3 (2) ◽  
Author(s):  
Richard Pilbery ◽  
M. Dawn Teare
Keyword(s):  
Retrospective Cohort ◽  
Regression Models ◽  
Spontaneous Circulation ◽  
Ambulance Service ◽  
Logistic Regression Models ◽  
Cad System ◽  
Routinely Collected Data ◽  
Collection Period ◽  
The Impact ◽  
Hospital Cardiac Arrest

<h3>Study aim</h3><p>This study aims to determine the impact of the red arrest teams (RATs) on survival to 30 days and return of spontaneous circulation (ROSC) at hospital.</p><h3>Methods</h3><p class="FirstParagraph">A retrospective cohort study analysing routinely collected data was undertaken. All adult (≥18 years) OHCAs entered onto the YAS computer aided dispatch (CAD) system between the 1st October, 2015 and 30th September, 2017 were included if the patient was resuscitated, and the cause of the arrest was considered to be medical in origin. Multivariable logistic regression models were created to enable adjustment for common predictors of survival and ROSC.</p><h3>Results</h3><p>During the 2-year data collection period, 15,151 cardiac arrests that were attended by Yorkshire Ambulance Service. After removing ineligible cases, 5,868 cardiac arrests remained. RATs attended 2,000/5,868 (34.1%) incidents, with each RAT attending a median of 13 cardiac arrests (IQR 7–23, minimum 1, maximum 78).</p><p class="FirstParagraph">The adjusted odds ratios suggest that a RAT on scene is associated with a slight increase in the odds of survival to 30 days (OR 1.01, 95%CI 0.74–1.38) and odds of ROSC on arrival at hospital (OR 1.13, 95%CI 0.99–1.29), compared to the odds of not having a RAT present, although neither results are statistically significant.</p><h3>Conclusion</h3><p class="FirstParagraph">The presence of a RAT paramedic was associated with a small increase in survival to 30 days and ROSC on arrival at hospital, although neither were statistically significant. Larger prospective studies are required to determine the effect of roles such as RAT on outcomes from OHCA</p>

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