Are Hofstedees Culture Dimensions Stable Over Time? A Generational Cohort Analysis

2013 ◽  
Author(s):  
Sjoerd Beugelsdijk ◽  
Robbert Maseland ◽  
Andrr van Hoorn
Keyword(s):  
Cohort Analysis ◽  
Generational Cohort ◽  
Culture Dimensions ◽  
Over Time

Urban and rural millennials: Heterogeneity of the young adult generation

2019 ◽  
pp. 5-28
Author(s):  
Vadim V. Radaev
Keyword(s):  
Coming Out ◽  
Generational Differences ◽  
Cohort Analysis ◽  
Social Indicators ◽  
Well Being ◽  
Generational Cohort ◽  
Rural Infrastructure ◽  
Sociological Approach ◽  
Monitoring Survey

A sociological approach towards the generational cohort analysis is developed. A special emphasis is made upon the youngest adult generation of millennials coming out of their adolescence in the 2000s. A broad range of social indicators is used for empirical exploration of intra-generational differences between urban and rural millennials. Data were collected from the annual Russian Longitudinal Monitoring Survey (RLMS-HSE) in 2003—2016. Numerous significant differences have been revealed with regard to the educational level, family planning, use of modern gadgets and digital technologies, commitment to healthy lifestyles, and some values. Some practices are more widely spread among rural millennials, whereas other practices are more characteristic of urban millennials. Most of revealed differences are explained by the lower level of material well-being of rural millennials and lower quality of rural infrastructure.

Are perceptual disorder signs in diplegic cerebral palsied children stable over time? A retrospective cohort analysis

2020 ◽  
Vol 72 (2) ◽  
Author(s):  
Silvia Alboresi ◽  
Alice Sghedoni ◽  
Giulia Borelli ◽  
Stefania Costi ◽  
Laura Beccani ◽  
...  
Keyword(s):  
Retrospective Cohort ◽  
Cohort Analysis ◽  
Retrospective Cohort Analysis ◽  
Over Time

scholarly journals Tracking red deer population size using deterministic cohort analysis

2021 ◽  
Author(s):  
Valerio Donini ◽  
Luca Corlatti ◽  
Luca Pedrotti
Keyword(s):  
Population Size ◽  
Cervus Elaphus ◽  
Red Deer ◽  
Cohort Analysis ◽  
Cost Effective ◽  
Natural Mortality ◽  
Relative Index ◽  
Deer Population ◽  
Monitoring Tools ◽  
Over Time

AbstractReliable and cost-effective monitoring tools to track population size over time are of key importance for wildlife management and conservation. Deterministic cohort analysis may be used to this aim, especially in hunted populations, but it requires that all mortality events are recorded and that individual age at death is known exactly. In this study, we investigated the reliability of cohort analysis as a relative index to track over-time variation in red deer (Cervus elaphus) abundance, in the absence of exact information about natural mortality and age. Visual tooth inspection was used to age 18,390 individuals found dead or hunted between 1982 and 2020 within the Trentino sector of the Stelvio National Park and the Val di Sole hunting district (Central Italian Alps). Temporal trend of reconstructed population size was checked using spring spotlight counts as a benchmark, through the Buishand range test and a linear model. Our results showed a significant and positive relationship between reconstructed population size and spring spotlight counts between 1982 and 2013, suggesting that cohort analysis could reliably track red deer population trend up to 7 years in the past. With a relative error of  +  1.1 (SD  =  1.5) years in the estimation of age, and fairly stable hunting pressure, our results support the use of deterministic cohort analysis as a relative index of abundance for monitoring red deer over time, even in the absence of exact information about natural mortality. Under violation of assumptions, however, the performance of deterministic reconstruction should be carefully inspected at the management scale.

scholarly journals Patient and tumor factors contributing to distant metastasis in well-differentiated thyroid cancer: a retrospective cohort study

2020 ◽  
Vol 49 (1) ◽  
Author(s):  
Usman Khan ◽  
Ayham Al Afif ◽  
Abdullah Aldaihani ◽  
Colin MacKay ◽  
Matthew H. Rigby ◽  
...  
Keyword(s):  
Thyroid Cancer ◽  
Distant Metastasis ◽  
Retrospective Cohort ◽  
Cohort Analysis ◽  
Univariate Analysis ◽  
Cox Proportional Hazards Model ◽  
Resection Margins ◽  
Substantial Impact ◽  
Well Differentiated ◽  
Over Time

Abstract Background Distant metastasis in thyroid cancer significantly reduces survival in patients with well-differentiated thyroid carcinoma (WDTC). There is limited information available to clinicians regarding pathological features that confer a higher risk of distant metastasis (DM). This study aimed to identify patient and tumor factors that were associated with the development of DM over time in patients with WDTC. Methods A retrospective cohort analysis of patients with WDTC (n = 584) at our institution was performed between 2007 and 2017. A total of 39 patients with DM and 529 patients with no DM (NDM) were included. Patient demographics, tumor characteristics and patient survival were compared between the DM and NDM groups using a univariate analysis. Multivariate Cox-proportional hazards model was used to evaluate the risk of developing distant metastasis over time. Kaplan-Meier analysis was used to compare survival between the DM and NDM groups. Results Distant metastasis had a substantial impact on disease-specific survival (DSS) at 5 and 10-years in the DM group; 71.0% (SE 8.4%) and 46.9% (SE 11.6%) respectively, compared to 100% survival in the NDM group (p < 0.001). The DM group had significantly higher proportions of males, lymphovascular invasion (LVI), nodal metastasis (NM), large tumor size (TS), extrathyroidal extension (ETE), positive resection margins, multifocality, follicular thyroid cancer (FTC), tall cell variant of papillary thyroid cancer (PTC), and Hurthle cell carcinoma (HCC), when compared to the NDM group (p < 0.05). A TS ≥ 2 cm (Hazard Ratio (HR) 1.370), NM (HR 3.806) and FTC (HR 7.068) were associated with a significantly increased hazard of developing distant metastasis in patients with WDTC. Conclusions TS ≥ 2 cm, NM and FTC are associated with a significantly increased propensity for developing DM in our cohort of WDTC patients. Graphical abstract

scholarly journals A 10-year cohort analysis of routine paediatric ART data in a rural South African setting

2016 ◽  
Vol 145 (1) ◽  
pp. 170-180 ◽  
Author(s):  
R. R. LILIAN ◽  
B. MUTASA ◽  
J. RAILTON ◽  
W. MONGWE ◽  
J. A. McINTYRE ◽  
...  
Keyword(s):  
South African ◽  
Treatment Initiation ◽  
Cohort Analysis ◽  
Monitoring And Evaluation ◽  
Electronic System ◽  
Evaluation Tool ◽  
Rural South ◽  
Kaplan Meier ◽  
African Setting ◽  
Over Time

SUMMARYSouth Africa's paediatric antiretroviral therapy (ART) programme is managed using a monitoring and evaluation tool known as TIER.Net. This electronic system has several advantages over paper-based systems, allowing profiling of the paediatric ART programme over time. We analysed anonymized TIER.Net data for HIV-infected children aged <15 years who had initiated ART in a rural district of South Africa between 2005 and 2014. We performed Kaplan–Meier survival analysis to assess outcomes over time. Records of 5461 children were available for analysis; 3593 (66%) children were retained in care. Losses from the programme were higher in children initiated on treatment in more recent years (P < 0·0001) and in children aged ≤1 year at treatment initiation (P < 0·0001). For children aged <3 years, abacavir was associated with a significantly higher rate of loss from the programme compared to stavudine (hazard ratio 1·9, P < 0·001). Viral load was suppressed in 48–52% of the cohort, with no significant change over the years (P = 0·398). Analysis of TIER.Net data over time provides enhanced insights into the performance of the paediatric ART programme and highlights interventions to improve programme performance.

scholarly journals The changing patterns of access overtime to the renal replacement therapy programme in Thailand

2019 ◽  
Author(s):  
Noppakun Thammatacharee ◽  
Anne Mills ◽  
Dorothea Nitsch ◽  
Adisorn Lumpaopong
Keyword(s):  
Renal Replacement Therapy ◽  
Replacement Therapy ◽  
Kidney Transplant ◽  
Cohort Analysis ◽  
Universal Coverage ◽  
Programme Implementation ◽  
Health Security ◽  
Middle Income ◽  
Number Of Patients ◽  
Over Time

Abstract Based on projected numbers, approximately only 50% of those requiring renal replacement therapy (RRT) receive it. Many patients who require RRT live in low- and middle-income countries. The objective of this study was to examine the changing pattern over time of entry into the RRT programme in Thailand following RRT’s inclusion in the Universal Coverage Scheme. This study was an ecological study using the age-period-cohort analysis to look at dialysis registration and kidney transplant trends during RRT programme implementation. Data from 2008 to 2016 of patients diagnosed with end-stage renal disease (ESRD) were obtained from the National Health Security Office. The study found that the numbers of new patients with ESRD, aged 20–69, registered with the dialysis programme increased over time. For patients aged 20–40 years, the dialysis programme took up to 400 new patients for every 1000 new ESRD diagnoses. For kidney transplant, the rates increased slowly. The kidney transplant programme could at best treat only around 50 cases for every 1000 new ESRD diagnoses in patients aged 20–30 years. Findings of this study highlighted the importance of promoting strategies to reduce the increasing number of patients with kidney disease, to consider conservative therapy for older/frail patients, and to improve access to kidney transplantation and live-donation.

scholarly journals Incidence, Prevalence, and Mortality Trends in Chronic Obstructive Pulmonary Disease over 2001 to 2011: A Public Health Point of View of the Burden

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Mariève Doucet ◽  
Louis Rochette ◽  
Denis Hamel
Keyword(s):  
Chronic Obstructive Pulmonary Disease ◽  
Pulmonary Disease ◽  
Cohort Analysis ◽  
Chronic Obstructive ◽  
Mortality Trends ◽  
Obstructive Pulmonary Disease ◽  
Incidence Trends ◽  
All Cause Mortality ◽  
Over Time ◽  
Incidence Prevalence

Background. An increase of chronic obstructive pulmonary disease (COPD) prevalence was reported in Canada despite the decline of the main risk factor.Objectives. To estimate incidence, prevalence, and mortality of COPD from 2001 to 2011 and establish the COPD burden by the evaluation of the age-period-cohort effects on incidence trends and the comorbidities prevalence estimations.Methods. A retrospective population-based cohort was built using Quebec health administrative data. Change in trends was measured by relative percentage of changes and by joinpoint regression. After a descriptive analysis of the trends, an age-period-cohort analysis was performed on incidence rates.Results. Overall increase in prevalence along with a decrease of incidence and all-cause mortality was observed. Over time, all age-standardized trends were higher in men than women. Despite higher rates, the number of incident and prevalent cases in women exceeds men since 2004. The curve analysis by age groups showed over time a downshift for both sexes in incidence and all-cause mortality. Further analysis showed the presence of a cohort effect in women.Conclusion. The burden of COPD has risen over time. Women younger than 65 years old have been identified as at-risk group for healthcare planning.

scholarly journals COVID-19 Demographics, Acute Care Resource Use and Mortality by Age and Sex in Ontario, Canada: Population-based Retrospective Cohort Analysis

2020 ◽  
Author(s):  
Stephen Mac ◽  
Kali Barrett ◽  
Yasin A. Khan ◽  
David MJ Naimark ◽  
Laura Rosella ◽  
...  
Keyword(s):  
Acute Care ◽  
Resource Use ◽  
Cohort Analysis ◽  
Invasive Mechanical Ventilation ◽  
Temporal Trends ◽  
Age Groups ◽  
Population Based ◽  
Term Care ◽  
Over Time ◽  
Age And Sex

AbstractBackgroundUnderstanding resource use for COVID-19 is critical. We conducted a population-based cohort study using public health data to describe COVID-19 associated age- and sex-specific acute care use, length of stay (LOS), and mortality.MethodsWe used Ontario’s Case and Contact Management (CCM) Plus database of individuals who tested positive for COVID-19 in Ontario from March 1 to September 30, 2020 to determine age- and sex-specific hospitalizations, intensive care unit (ICU) admissions, invasive mechanical ventilation (IMV) use, LOS, and mortality. We stratified analyses by month of infection to study temporal trends and conducted subgroup analyses by long-term care residency.ResultsDuring the observation period, 56,476 COVID-19 cases were reported (72% < 60 years, 52% female). The proportion of cases shifted from older populations (> 60 years) to younger populations (10-39 years) over time. Overall, 10% of individuals were hospitalized, of those 22% were admitted to ICU, and 60% of those used IMV. Mean LOS for individuals in the ward, ICU without IMV, and ICU with IMV was 12.8, 8.5, 20.5 days, respectively. Mortality for individuals receiving care in the ward, ICU without IMV, and ICU with IMV was 24%, 30%, and 45%, respectively. All outcomes varied by age and decreased over time, overall and within age groups.InterpretationThis descriptive study shows acute care use and mortality varying by age, and decreasing between March and September in Ontario. Improvements in clinical practice and changing risk distributions among those infected may contribute to fewer severe outcomes among those infected with COVID-19.

Consumer Decision-making Style of Gen Z: A Generational Cohort Analysis

2019 ◽  
pp. 097215091988012
Author(s):  
Packiaraj Thangavel ◽  
Pramod Pathak ◽  
Bibhas Chandra
Keyword(s):  
Online Shopping ◽  
Demographic Data ◽  
Cohort Analysis ◽  
Factor Loading ◽  
Consumer Decision Making ◽  
Generational Cohort ◽  
Chi Square ◽  
Wide Range ◽  
Shopping Orientation ◽  
Chi Square Analysis

The media and consumer research groups have been keeping the Millennials in spotlight for many years now; perhaps it is time to turn some of the attention on Gen Z, which began its foray into mainstream consumption. This exploratory study examines the shopping orientation of Gen Z online shoppers using the generational cohort theory (GCT) as a framework and provides insights to e-retailers to understand how this generation approaches the online shopping. The penetration of Internet and accelerated growth of online shopping have enthused the e-retailers to offer a wide range of goods at greater efficiency than the traditional players. By cluster analysis (K-means) of nine online shopping orientation factors (two were eliminated prior due to low factor loading scores), four segments were identified: (a) ‘Economic-quality seekers’, (b) ‘Convenience shoppers’, (c) ‘Deal hunting-convenience seekers’ and (d) ‘Brand and quality conscious shoppers’, and the study profiled each segment based on the demographic data through chi-square analysis. Finally, implications for online retailers and marketing practitioners are enumerated towards the end of the article.

Millennials and Generation Z: a generational cohort analysis of Indian consumers

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Packiaraj Thangavel ◽  
Pramod Pathak ◽  
Bibhas Chandra
Keyword(s):  
Decision Making ◽  
Factor Analysis ◽  
Generational Differences ◽  
Online Shopping ◽  
Cohort Analysis ◽  
Empirical Work ◽  
Generational Cohort ◽  
Content Type ◽  
Generation Z ◽  
Decision Styles

PurposeYoung consumers are recognized as an important and lucrative segment for the businesses across the globe. While initial steps have been taken to understand them, majority of the existing works consider both Millennials and Generation Z as a single and homogeneous market segment. The purpose of this study is to explore the consumer decision-making styles which are prevalent among Indian Millennials and Generation Z e-shoppers, and how significantly they differ from one another on each of those decision-making attributes.Design/methodology/approachThis exploratory study used the generational cohort theory (GCT) as a framework. The psychographic statements (Questionnaire items) employed were adopted from several past researches on store orientation and catalog orientation, and they were rephrased to suit to the context of Indian online shopping. The principal components factor analysis with promax rotation has been used to unearth the underlying decision-styles among 503 survey participants. Subsequently, the ANOVA model was run to examine the mean differences between the cohorts.FindingsThe factor analysis has revealed that frugality (Price), convenience (Home) and social desirableness are the most dominant shopping orientations (decision-styles) that prevail among Indian (Millennials and Generation Z) online shoppers though in varying degrees. The probing of ANOVA results suggested that, though both the cohorts favor e-shopping, Generation Z are more enthusiastic about online shopping than their Millennial counterparts do.Practical implicationsThough Generation Z and Millennials share few characteristics between them, they exhibit different consumer behaviors. Marketers need to customize their value offerings and marketing communications that resonate well with each generational cohort.Originality/valueAlmost all the existing research works that have been conducted so far on generational cohorts are from Western and European countries and one could confidently say that those findings cannot be applied for the developing nations such as India which is a complex and diverse country in terms of its language, custom, religion and practices with troublesome pasts. Moreover, this is the first empirical work to be conducted to unearth the generational differences that exist between Generation Z and Millennials to the best of authors' knowledge.

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