scholarly journals Trends and Rural-Urban Differences in Asthma Hospitalizations in Saskatchewan 1970-1989

1994 ◽  
Vol 1 (4) ◽  
pp. 229-234 ◽  
Author(s):  
A Senthilselvan
Keyword(s):  
Regression Models ◽  
Age Groups ◽  
Age Group ◽  
Hospitalization Rates ◽  
Rural And Urban ◽  
Asthma Hospitalization ◽  
Group Sex ◽  
Rate Ratios ◽  
Rural Dwellers

OBJECTIVE: To examine the trends in hospitalization rates for atsthma in Saskatchewan from 1970 to 1989 and to investigate the differences in asthma hospitalization rates between rural and urban dwellers.DESIGN: Asthma hospitalization rates were calculated for the age groups O to 4, 5 to 9. 10 to 14, 15 to 24. 25 to 34. 35 to 49 and 50 to 64 years for the period between 1970 and 1989. Only the first admission in each year for each person was included in the analysis. As the classification of asthma changed in 1978. trends in asthma hospitalization rates were investigated separately for the periods 1970 to 1978 and 1979 to 1989. respectively. Rate ratios were obtained for male/female and rural/urban comparisons by fitting Poisson regression models.SETTING: The hospitalization data for respiratory diseases for the province of Saskatchewan were examined by age group, sex and place or residence.RESULT: No significant increases were observed in asthma hospitalization rates lrorn 1970 to 1978. In the period 1979 to 1989. asthma hospitalization rates increased significantly among children under four years from 4.31/1000 in 1979 to 7.04/1000 in 1989. Among children under 14 years. asthma hospitalization rates were greater in boys than in girls . The converse was true for adults aged 15 and above, with women having a higher hospitalization rate for asthma than men . In adults aged 35 and above. rural dwellers had higher hospitalization rates for asthma than urban dwellers throughout the study period. In other age groups, although rural dwellers had higher asthma hospitalization rates than did urban dwellers during 1970 to 1984. the differences disappered duri ng 1985 to 1989.CONCLUSION: Further studies are required to find reasons for the increase in asthma hospitalizations among young children under four years old and for the differences between rural and urban dwellers in the age group 35 years and above.

Why are people increasingly attending the emergency department? A study of the French healthcare system

2019 ◽  
Vol 36 (9) ◽  
pp. 548-553 ◽  
Author(s):  
Helene Colineaux ◽  
Fanny Pelissier ◽  
Laure Pourcel ◽  
Thierry Lang ◽  
Michelle Kelly-Irving ◽  
...  
Keyword(s):  
Emergency Department ◽  
Observational Study ◽  
Regression Models ◽  
Age Groups ◽  
Average Increase ◽  
Linear Regression Models ◽  
Clinical Classification ◽  
Therapeutic Procedures ◽  
Ed Visits

ObjectiveIt is often asserted that the crowding phenomenon in emergency departments (ED) can be explained by an increase in visits considered as non-urgent. The aim of our study was to quantify the increase in ED visit rates and to determine whether this increase was explained by non-severe visit types.MethodsThis observational study covers all ED visits between 2002 and 2015 by adult inhabitants of the Midi-Pyrénées region in France. Their characteristics were collected from the emergency visit summaries. We modelled the visit rates per year using linear regression models, and an increase was considered significant when the 95% CIs did not include zero. The severity of the patients’ condition during ED visit was determined through the ‘Clinical Classification of Emergency’ score. Non-severe visits were those where the patient was stable, and the physician deemed no intervention necessary. Intermediate-severity visits concerned patients who were stable but requiring diagnostic or therapeutic procedures.ResultsThe 37 studied EDs managed >7 million visits between 2002 and 2015. There was an average increase of +4.83 (95% CI 4.33 to 5.32) visits per 1000 inhabitants each year. The increase in non-severe visit types was +0.88 (95% CI 0.42 to 1.34) per 1000 inhabitants, while the increase in intermediate-severity visit types was +3.26 (95% CI 2.62 to 3.91) per 1000 inhabitants. This increase affected all age groups and all sexes.DiscussionIt appears that the increase in ED use is not based on an increase in non-severe visit types, with a greater impact of intermediate-severity visit types requiring diagnostic or therapeutic procedures in ED.

Use of life jackets and other types of flotation for in-water recreation in designated swim areas in Washington State

2017 ◽  
Vol 24 (2) ◽  
pp. 123-128 ◽  
Author(s):  
Linda Quan ◽  
Thomas Mangione ◽  
Elizabeth Bennett ◽  
Wendy Chow
Keyword(s):  
Age Groups ◽  
Open Water ◽  
Washington State ◽  
Age Group ◽  
Safety Standards ◽  
Wear Life ◽  
Sex Type ◽  
Water Recreation ◽  
Device Use ◽  
Group Sex

Most fatal drownings worldwide occur in open water. Flotation devices may protect swimmers. Their use by those recreating in water has not been described.MethodsObservational survey of swimmers and waders at designated swim sites at lakes and rivers evaluated them by age group, sex, type of flotation used (life jacket vs substandard flotation, eg, water wings, noodles, inflatables) and, for children <6 years, being within arm's reach of an adult.ResultsOf 1967 swimmers/waders observed, 37% used some type of flotation device. Use rates, especially of life jackets, decreased with increasing age. Children <6 years had the highest use of some type of flotation (140/212, 66%) and the highest use of life jackets (50.5%). Children <13 years were more likely to use flotation devices and life jackets than teens (RR 6.78, 3.62 to 12.71); boys were more likely than girls to wear life jackets (RR 1.47, 1.18 to 1.83). While teenagers and adults used flotation (29.5% and 23.5%), they rarely used life jackets (2–3%). Boys <6 years who were further than arm's length of an adult were more likely to wear life jackets than girls. Substandard flotation use did not differ among age groups (15.5–26.5%) but their use was greater among females in most age groups.ConclusionsFlotation devices were frequently used for recreational wading and swimming in open water by all age groups. Life jacket use was limited to children. Promoting use of flotation devices with safety standards that provide protection as well as fun could potentially decrease open water drowning rates.

scholarly journals Classification of Eog Signal using Elman Recurrent Neural Network for Different Age Groups

2019 ◽  
Vol 9 (2S2) ◽  
pp. 842-847
Keyword(s):  
Neural Network ◽  
Recurrent Neural Network ◽  
Age Groups ◽  
Computer Interface ◽  
World Population ◽  
Age Group ◽  
The Individual ◽  
Elman Recurrent Neural Network ◽  
Male Subjects

Disabled people in the world population were increasing constantly, So need of rehabilitative system also increasing every day. To overcome such wretched condition, we can use the biosignal techniques to device the rehabilitative devices. Rehabilitative devices may be called as Brain Computer Interface (BCI) or Human Computer Interface (HCI). We studied the performances of ten male subjects between the age group of 18 to 25 using mean features and Elman Recurrent Neural Network (ERNN). We conducted our study with two different age group from 18 to 21 and 22 to 25. The average classification accuracy of 91.00%, 93.57% were attained for the age group of 18 to 21 and 22 to 25. From the individual analysis we identified that performances from the age group 22 to 25 were appreciated then that of the age group from 18 to 21. In between the study we analyzed that subject s from the age group 22 to 25 performed all the following five tasks neatly and accurately without any deviation and disturbance compared with age group from 18 to 21. Finally from the obtained result we concluded that subject from the age group 22 to 25 was higher than that of age group from 18 to 21.

scholarly journals LB17. Age-Related Differences in Influenza Type/Subtype Among Patients Hospitalized with Influenza, FluSurv-NET—2017–2018

2018 ◽  
Vol 5 (suppl_1) ◽  
pp. S765-S765
Author(s):  
Shikha Garg ◽  
Alissa O’Halloran ◽  
Charisse Nitura Cummings ◽  
Evan J Anderson ◽  
Nisha Alden ◽  
...  
Keyword(s):  
Influenza A ◽  
Age Groups ◽  
Age Group ◽  
Research Support ◽  
Surveillance Network ◽  
Influenza Type ◽  
Hospitalization Rates ◽  
Age Related ◽  
Marked Variability ◽  
Research Grant

Abstract Background The 2017–2018 influenza season had the highest rates of influenza hospitalizations since the 2009 H1N1 pandemic. We used data from the Influenza Hospitalization Surveillance Network (FluSurv-NET) to identify unique characteristics of the 2017–2018 season. Methods We included all patients residing within a FluSurv-NET catchment area, and hospitalized with laboratory-confirmed influenza during 2017–2018. We used multiple imputation, including age, surveillance site, and month of hospital admission as predictors, to impute influenza A subtype for 40–64% of cases across seasons with an unknown subtype. We calculated influenza hospitalization rates by type/subtype per 100,000 population. We compared 2017–2018 rates to rates during 4 prior seasons: 2016–2017, 2015–2016, 2014–2015, and 2013–2014. Results The overall unadjusted hospitalization rates per 100,000 population varied from 31.5 during 2015–2016 to 105.1 during 2017–2018. After imputing A subtype, the 2017–2018 season had the highest rates observed for H3N2 (62.8) and B (28.5) than in any previous season, and the third highest rate of H1N1 (13.5) (Figure 1A). During 2017–2018, rates in adult ≥65 years peaked 3 weeks before they peaked in children 0–4 years. In contrast, during the four prior seasons, rates in adults ≥65 years peaked during the same week or 1 week after they peaked in children 0–4 years. During 2017–2018, the distribution of influenza type/subtypes varied significantly by age group (P &lt; 0.0001); for example, the proportion of cases with H1N1 ranged from 19 to 29% in those &lt;65 years to only 7% in those ≥65 years. During 2017–2018, H1N1 (the nonpredominant A virus) contributed &gt;25% of A cases across all age groups (except ≥65 years) vs. all prior seasons where the nonpredominant A virus contributed &lt;10% of A cases across all age groups (except ≥65 years) (Figure 1B–F). Conclusions Several unique characteristics may have contributed to the high hospitalization rates observed during 2017–2018. Rates in older adults, who were predominantly infected with H3N2, peaked several weeks prior to children in contrast to prior seasons. Higher overall rates of H3N2 and B were observed in 2017–2018 compared with these prior seasons and substantial H1N1 co-circulation also occurred with marked variability by age group. Disclosures E. J. Anderson, NovaVax: Grant Investigator, Research grant. Pfizer: Grant Investigator, Research grant. AbbVie: Consultant, Consulting fee. MedImmune: Investigator, Research support. PaxVax: Investigator, Research support. Micron: Investigator, Research support. H. K. Talbot, Sanofi Pasteur: Investigator, Research grant. Gilead: Investigator, Research grant. MedImmune: Investigator, Research grant. Vaxinnate: Safety Board, none. Seqirus: Safety Board, none.

scholarly journals Changes in Jumping and Throwing Performances in Age-Group Athletes Competing in the European Masters Athletics Championships between 1978 and 2017

2019 ◽  
Vol 16 (7) ◽  
pp. 1200 ◽  
Author(s):  
Alexandra Kundert ◽  
Pantelis Nikolaidis ◽  
Stefania Di Gangi ◽  
Thomas Rosemann ◽  
Beat Knechtle
Keyword(s):  
Fixed Effects ◽  
Linear Trend ◽  
Age Groups ◽  
Age Group ◽  
Master Athletes ◽  
Interaction Terms ◽  
Age Related ◽  
And Performance ◽  
Group Sex ◽  
Pole Vault

The results of master athletes have been used previously to examine the age-related differences in aerobic capacity, however, less research has been conducted on the variation of jumping and throwing performances with aging. Therefore, the aim of the present study of elite master athletes was to investigate (a) the age-related differences in throwing (i.e., discus, hammer, javelin, and shot put) and jumping events (i.e., high jump, long jump, pole vault, and triple jump) in 5-year age-group intervals from 35–39 to 95–99 years of elite master athletes, and (b) the trends in performance and sex differences. The top eight female and male finalists for each age group and in each event from 20 European Masters Athletics Championships held between 1978 and 2017 were considered. Overall, 13,673 observations from 4726 master athletes were analyzed. For each event separately, a mixed regression model was performed with sex, age group, calendar year, and interaction terms (sex-age group, sex-year) defined as fixed effects. Performances were improving over time with a linear trend overall for each event. Men had better performances as compared to women, (i.e., in triple jump the estimated difference was 2.58 m, p < 0.001). Performances declined with age for each event (i.e., in triple jump, compared with the age group 45–49 years, performance in the age group 35–39 years was 0.98 m better and performance in the age group 85–89 years was 6.24 m worse). The decline of male performances with age was either slower or faster than the decline of female performances depending on age groups and events.

Thromboembolic disease in females and males aged 10 to 39 years in Germany

VASA ◽  
2018 ◽  
Vol 47 (6) ◽  
pp. 483-489 ◽  
Author(s):  
Olga von Beckerath ◽  
Frans Santosa ◽  
Rolf Waldhausen ◽  
Christian Moerchel ◽  
Knut Kröger
Keyword(s):  
Age Groups ◽  
Age Group ◽  
Budd Chiari Syndrome ◽  
Young Males ◽  
Vein Thrombosis ◽  
Hospitalization Rates ◽  
Venous Diseases ◽  
Chiari Syndrome ◽  
Males And Females ◽  
Deep Vein

Abstract. Background: We analysed differences in hospitalization rates for venous diseases such as pulmonary embolism (PE), deep vein thrombosis (DVT), sinus vein thrombosis (SVT), portal vein thrombosis (PVT), and Budd-Chiari syndrome (BCS) as well as for arterial diseases such as myocardial infarction (MI) and embolic stroke (ES) in females and males aged 10 to 39 years. Patients and methods: Detailed lists of hospitalizations with the principal and additional diagnoses for PE (ICD-code I26.0 + I26.9), DVT (I80.0–I80.9), SVT (I67.6), PVT (I81), BCS (I82.0), MI (I21.0–I21.9), and ES (I63.1 + I63.4) in males and females aged 10 to 39 years in the years 2006 to 2015 were provided by the Federal Statistical Office in Germany. Results: Considering the 10-year period there were more female than male cases hospitalized with the principal diagnoses for PE, DVT, SVT, and BCS. Looking at the principal diagnosis of the year 2015, one can see a steep increase in numbers of hospitalization for PE, DVT, and SVT in females ranging from the ages 12 to 13 and 14 to 15 years compared to males. The curves of PE and DVT meet again in the age group between 32 and 33 years, but not for SVT. The greatest differences are seen at the end of the second and at the beginning of the third decade of life. In contrast, MI was more frequent in young males beginning at the age of 18 to 19 years. The number of female and male cases with ES and PVT were almost similar in the different age groups. Conclusions: The presented data show higher hospitalization rates for females in the age group 10 to 39 years for different venous thrombosis but not for MI and ES.

Abstract 16403: Prevalence and Sex Differences in Early-onset Atrial Fibrillation - A Nation-wide Primary Care Study in Norway

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Silje M Kalstø ◽  
Ståle Nygård ◽  
Arnljot Tveit ◽  
Inger Ariansen ◽  
Ingrid E Christophersen
Keyword(s):  
Atrial Fibrillation ◽  
Primary Care ◽  
Sex Differences ◽  
Early Onset ◽  
Age Groups ◽  
Age Group ◽  
Lone Atrial Fibrillation ◽  
Primary Care Population ◽  
Primary Care Sector

Background: Several studies have reported a male:female ratio of 4:1 in lone atrial fibrillation (AF) populations. However, there have been few reports on the young population with AF, and no reports from a primary care setting. Here, we describe prevalence and sex-differences in early-onset AF in a nation-wide register-based study in the primary care sector in Norway. Methods: In Norway, with a population of 5.4 million, healthcare is publicly financed and all general practitioner (GP) claims have been recorded in the Norwegian Control and Payment of Health Reimbursement (KUHR) registry, since 2006. We identified all individuals aged ≥18 and <50 years registered with ≥1 AF diagnosis code (International Classification of Primary Care (ICPC) K78), from 2006-2019 in the KUHR registry. Based on population estimates from Statistics Norway, we calculated the prevalence of early-onset AF in 2019, as a total, by sex, and by age groups: 18-29, 30-39, 40-49. Results: We identified 5563 individuals (28.5% women, age 18-49 years) aged 18-49 in 2019 with AF diagnosed <age 50 years. In 2019, the prevalence of early-onset AF registered in all individuals up to age 50 was 0.24% (women: 0.14% (1585/1114821), men 0.34% (3978/1176555), p=1.4x10 -205 ) with a ratio of 2.5 men:women. In individuals aged 18-29 the prevalence was 0.05% (women 0.04% (164/410367), men 0.07% (292/435001), p=79x10 -8 ). For the age group 30-39 years the prevalence was 0.19% (women 0.12% (408/349639), men 0.27% (985/367730), p=3.9x10 -49 ). For the age group 40-49 years the prevalence was 0.51% (women 0.29% (1013/354815), men 0.72% (2701/373824), p=1.39x10 -155 ). Conclusion: We show that the prevalence of early-onset AF in a nation-wide primary care population is 0.24% and that the sex-difference in prevalence is smaller than previously reported in early-onset and lone AF studies. Our findings underline the need of increased awareness of AF as a disease in the young, and particularly to women in the youngest age-groups.

scholarly journals Correlation of patient's mental attitude with age, sex, and educational level: A survey

2016 ◽  
Vol 10 (01) ◽  
pp. 023-028 ◽  
Author(s):  
Shweta Choudhary ◽  
Ajit Kumar ◽  
Himanshu Arora
Keyword(s):  
College Graduates ◽  
Age Groups ◽  
Educational Status ◽  
Age Group ◽  
Oral Rehabilitation ◽  
Mental Attitude ◽  
Female Ratio ◽  
Patient Cooperation ◽  
Male To Female

ABSTRACT Objective: The aim of this study was to determine any relationship, if exists, between the patient's mental attitude with age, sex, or educational qualification. Methods: A total of 200 patients who attended the outpatient department during a span of 1 year, for the fabrication of new complete dentures, were chosen for the study. After completing a routine case history and examination, a questionnaire was filled by the clinician as answered by the patient. Participants were evaluated and categorized based on the questionnaire and clinical experience during treatment according to a predefined classification of determining mental attitudes. Outcomes from the survey were correlated with participant gender, age, and educational status. Results: The male to female ratio was 83:117, out of the 200 enrolled participants. The results from the questionnaire showed that females were found to be more exacting (P = 0.007) in nature, while males, on the other hand, revealed more indifferent attitude (P = 0.02); both differences being statistically significant. Of the three age group categories: Participants in the age group of 45–54 years revealed a significant inclination toward an exacting attitude when compared with other age groups (P < 0.001). In regards to educational status, an illiterate or minimally educated group significantly outnumbered the college graduates in the indifferent attitude group (P < 0.001). Conclusions: Within the limitations of this study, it could be said that the mental attitudes of patients could vary according to gender, age, and educational status, which could affect patient cooperation and satisfaction with oral rehabilitation, eventually manipulating the overall success of the treatment rendered.

scholarly journals Effects of air pollution on asthma hospitalization rates in different age groups in metropolitan cities of Korea

2013 ◽  
Vol 6 (3) ◽  
pp. 543-551 ◽  
Author(s):  
Minjeong Park ◽  
Sheng Luo ◽  
Jaymin Kwon ◽  
Thomas H. Stock ◽  
George Delclos ◽  
...  
Keyword(s):  
Air Pollution ◽  
Age Groups ◽  
Hospitalization Rates ◽  
Metropolitan Cities ◽  
Asthma Hospitalization

scholarly journals Varicella vaccination as useful strategy for reducing the risk of varicella-related hospitalizations

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
A Marrella ◽  
A Casuccio ◽  
E Amodio ◽  
F Vitale
Keyword(s):  
Vaccination Coverage ◽  
Age Groups ◽  
Incidence Rates ◽  
Varicella Vaccination ◽  
Age Group ◽  
Annual Percent Change ◽  
High Coverage ◽  
Joint Point ◽  
Hospitalization Rates ◽  
The Impact

Abstract Introduction The present study summarizes evidences of the impact of varicella vaccination (VV) on hospitalization rates attributable to this infectious disease in Italy. Methods We have carried out a retrospective observational study that analysed hospital discharge records and VV coverage at 24 months collected from 2003 to 2018 by the Italian Health Ministry. All hospitalizations with the presence of an ICD-9 CM 059.X code in the principal diagnosis or in any of the five secondary diagnoses were considered as related to varicella. The hospitalization rate reduction was evaluated by calculating average annual percent change (AAPC) through joint-point analysis. Results Hospitalization rates showed a decreasing risk by age: children aged &lt;1 year were the most affected age group in each region (42.56/100,000 per year), whereas lower incidence rates were found in older age groups (23.76/100,000 in 1 to 5 years age group and &lt;4/100,000 in the following groups). Varicella hospitalization rates decreased significantly after the introduction of VV (3.42 vs. 2.67 per 100,000; P &lt; 0.001). During the first five years after vaccination introduction hospitalization rates showed a statistically significant decrease especially for infants aged &lt;1 year (AAPC -34.98%; p &lt; 0.001) and 1 to 5 years old (AAPC -35.22%; P &lt; 0.01). VV coverage was strongly correlated with hospitalization rates decrease over each paediatric age group (R-squared 0.38 in aged &lt;1 year, p &lt; 0.001; 0.71 in 1 to 5 years old, p &lt; 0.001; 0.93 in 6 to 14 years old, p &lt; 0.0001). Conclusions All the previously reported findings confirm that hospitalization rates are strictly related to both the number of years since vaccination introduction and the vaccination coverage. VV confirms to be an important step in public health strategies and the introduction of universal vaccination, with high vaccination coverage, should be considered as an extremely powerful tool for reducing the risk of complications. Key messages This study adds update findings to the literature and shows that varicella hospitalizations in Italy, from 2003 to 2018, have reduced their burden, that was high in years before varicella vaccination. Varicella vaccination introduction and high coverage are powerful tools for reducing the risk of varicella complications and related hospitalizations in the general population.

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