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The purpose of this paper is to examine cigarette consumption behavior of younger cohorts in the urban and rural areas of Iran. The authors use Iran’s annual Household Income and Expenditures Surveys (HIES) database over 2007–2013 for the statistical analysis. In order to control for a large number of households with zero expenditure on cigarette consumption, the authors have used the double-hurdle modeling approach for counting the outcomes of interest. The authors have also limited the sample to cases in which the head of household is between the ages of 21 and 45 and all children are younger than 18.

In this study, the authors have conducted a multivariate econometric analysis to identify the impact of age and birth year cohort on the demand for cigarettes among Iranian households. The authors have used the HIES data for multiple years in the analysis. The ideal data set for the analysis is a panel data that include information on cigarette consumption of various age cohorts over a long period of time. Since no suitable panel data are available, the authors have constructed a multi-year cohort data by extracting cohort data from the annual HIES data set. Due to the unique properties of cigarette consumption, the authors have used the double-hurdle econometric model with appropriate diagnostics.

After controlling for price and demographic factors, which affect the demand for cigarettes, the authors find that the younger cohorts in rural areas, who smoke, tend to consume fewer cigarettes than the older ones; however, the opposite is true among urban households. The probability of being a non-smoker is larger for younger cohorts in both rural and urban areas. Among smokers, the authors observe an inverse U-shape relation between age and quantity of cigarettes consumed per day. The trend is positive up to age 45, but diminishes for older smokers because of health concerns.

In comparison to previous studies of tobacco consumption in Iran, the authors have used a more comprehensive household income and expenditure survey data set with a large number of observations. Furthermore, the authors have applied an econometric method (the double-hurdle model), which is suitable for the analysis of the determinants of demand for cigarettes when a subset of households report no cigarette consumption.

Internet use has become particularly prevalent among adolescents, prompting much thought and concern about both its potential benefits and adverse effects on adolescent learning outcomes. Much of the empirical literature on the impact of Internet use on adolescent learning outcomes is mixed, and few studies examine the causal relationship between the two in rural China. In order to bridge these gaps, we use empirical analysis to investigate the effect of Internet use on the learning outcomes of adolescents in rural China.

We use fixed effect models with samples drawn from a large nationally representative dataset (the China Family Panel Studies—CFPS) to identify the causal impacts of Internet use on the learning outcomes of three cohorts (Cohort A (N = 540), Cohort B (N = 287) and Cohort C (N = 827)) of adolescents in rural China.

The results of the descriptive analysis show a continued increase in the number of adolescents accessing the Internet and the amount of time they spend online. The results of the fixed effect models show that Internet use has positive (in many of the analyses), but mostly insignificant impacts, on the learning outcomes of adolescents. In the sets of results that find significant associations between Internet use and learning outcomes, the measured effects are moderate.

This study investigates the causal relationship between Internet use and adolescent learning outcomes in rural China. The findings claim that there is not a great need to worry about adverse effects of Internet use on adolescent learning development. Attention, however, should focus on seeking ways to improve the positive effects of the Internet use on adolescent learning outcomes. The study will provide a reference and experience for the development of education and the Internet in rural areas and promote the integrated development of urban and rural areas in China.

The purpose of this paper is to discuss opportunities to obtain more information from the Agricultural Resource Management Survey (ARMS). Specifically, the paper will explore the issue of survey nonresponse, the development of pseudo panels, and more frequent updating of cost of production data on an enterprise basis.\

Researchers from the Land Grant University System and the Economic Research Service have relied on ARMS to evaluate the effect of agricultural, macroeconomic, and other factors on the US farm sector, farm businesses, and the households that manage them. This paper will identify gaps in understanding and proposes approaches to extract additional information from ARMS.

The relevance of ARMS in the future will depend on the ability to continue to understand potential pitfalls and areas of additional research that can develop new procedures to extract additional information. Three issues which are in need of further study include continuing to examine the issue of non‐response, refining methods to develop pseudo panel data, and examining methods to develop commodity specific financial information between the commodity specific surveys.

The National Research Council completed a review of ARMS to address challenges in keeping the survey relevant into the future. However, research that examines the construction of financial statements and other information had not been conducted since the early 1990s. This study fills part of that gap.

This paper aims to build on existing studies on the relationship between individual wages, age and experience, and provide new evidence on the determinants of wages in Italy.

Wage‐age profiles, which include cohort variables to capture generational differences in wages and are characterised by a changing‐over‐time structure, are estimated by fixed and random effects panel regressions. The analysis exploits a longitudinal dataset of administrative data on wages for the period 1985‐1999.

This paper shows that wage to age profiles for different cohorts of workers are not stable over time: although younger generations of Italian workers are benefiting from higher starting wages than older generations, they face the prospect of lower growth of future earnings. It also confirms the existence of a significant supply effect: the bigger the cohort relative to the active population, the smaller the cohort's gain in terms of wage levels. Finally, it captures the dependence of individual wages on aggregate labour market conditions: individual wages are shown to be negatively related to the unemployment rate and positively related to the union wage index.

Although the paper does not propose a novel theoretical approach to individual wage analysis, it demonstrates the benefits of a more integrated empirical analysis of individual wages.

The empirical findings suggest that it would be possible and useful to integrate the changing age profiles of individual wages with the estimation and projections of Italian aggregate industry and service sector average wages.

The paper provides new evidence on the determinants of the dynamics of individual wages through the estimation of time‐varying wage to age profiles of workers in the Italian industry and service sectors.

The aim of this study is to investigate whether police problem behaviors decline over time as officers gain experience, or whether they rise again as officers approach or pass the typical year of retirement.

Research hypotheses were tested examining mean citizen complaint rates by years of experience, for a cohort of officers for a 14‐year period at the aggregate level, and a semi‐parametric, group‐based approach at the individual level, to estimate developmental trajectories of officers who follow similar pathways over time.

While at the aggregate level rates of citizen complaints steadily decline between years 4 and 23, there were three trajectories underlying this aggregate pattern. These trajectories differed in terms of their magnitude, but all exhibit a general decline over time, except for the most problematic group. For this group, problem behaviors began to rise between years 16 and 23.

This study relies on citizen complaints as the primary indicator, which can over‐ and under‐represent problem behavior, was done in a large agency, which may not be representative, and does not include information on geographic assignment or arrest productivity over time.

Research findings suggest that for the most problematic officers, problem behaviors may exhibit an increase near retirement.

This study employs a longitudinal data set, which can examine within‐officer change in problem behaviors over time.

The purpose of the paper is to examine the relationship between two age cohorts within the baby boomer group, younger baby boomers (born between 1956‐1965) and older baby boomers (born between 1946‐1955), based on various behavioral variables. It is postulated that, even though this group is exceedingly large in number, there are more similarities than differences among its younger and older members.

The study sample was a convenience sample and consisted of 295 respondents who were in the 40‐58 age category. A questionnaire was administered with scales that were well established and that have been used in previous research.

With the exception of cognitive age, there were no significant differences between younger and older baby boomers regarding a large number of salient behavioral variables. This conclusion suggests that marketers use caution when applying the widely accepted age segmentation strategy of splitting baby boomers into younger and older boomers.

The results of this study caution the marketer in further dividing the baby boomers group based on cohort segmentation. The results of this study suggest that cohort segmentation is a viable beginning for dividing consumers into groups, but that other demographic and/or psychographic methods need to be considered in subsequent segmentation efforts for baby boomers.

The aim of this paper is to respond to calls for higher education institutions to address sustainability within the curriculum. Institutions that aim to graduate citizens with prescribed attributes relevant to sustainability may need to develop teaching and learning support‐programmes appropriate to the varied nature of students' worldviews.

The research described here used the NEP (Revised New Ecological Paradigm) and statistical cluster‐analysis to explore if individuals within cohorts of students could reasonably be clustered into subgroups with identified sustainability attributes relevant to the design of learner‐support programmes.

All seven programme cohorts in one institution's annual intake clustered into three subgroups with identifiable attributes.

The results are discussed in relation to how post‐compulsory education institutions can define the sustainability characteristics of their students and to the pedagogic literature that addresses diversity in student groups.

The approach may help higher education institutions better understand the needs of individual students within large groups and to develop appropriate support programmes for students with similar attributes and needs.

The purpose of this study is to collect and assess the evidence available on the effect of non nutritive sweeteners on appetite, weight and glycemic regulation. As a replacement for sugars, non-nutritive sweeteners (NNSs) are widely being used in different food products with the assumption that these would lower calorie intake and help to manage weight and blood sugar levels better. However, studies using animal models have reported that chronic exposure to NNSs leads to increased food consumption, weight gain and insulin resistance.

Evidence was acquired from systematic reviews or meta-analyses (2016–2021) of relevant clinical studies, especially randomized control trials using Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines.

The review showed NNSs exposure did not conclusively induce increased food intake or change in subjective appetite ratings. Appetite biomarkers like ghrelin, gastric inhibitory peptide, C-peptide levels and Peptide YY remained mostly unaffected by NNSs. Meta-analyses of human randomized control studies showed a reduced energy intake and body weight. No significant change was seen in blood glucose levels, post-prandial glycemic or insulin response after consumption of NNSs. Adequate evidence is not available to conclusively say that NNSs influence gut health at doses relevant to human use.

Most studies which are prospective cohort, observational and cross-sectional studies suggest that use of NNSs may promote obesity and metabolic syndrome in adults. Such studies are plagued by confounding variables and reverse causation. Mechanistic evidence is mostly based on in-vitro and in-vivo studies. The same causal pathways may not be operative or relevant in humans.

This review of available literature concludes that to achieve specific public health and clinical goals, the safe use of NNSs for the reduction of intakes of free sugars and energy should be explored. This would be possible by educating the consumer about energy compensation and understanding the nutritional content of artificially sweetened products in terms of calories coming from fat and complex carbohydrates used in the product.

This study was, thus, designed with the objective of examining the usefulness of NNSs in human population, especially with respect to insulin regulation, glycemic control and weight management. Well-designed randomized control trials which control for confounding variables are needed to generate high quality evidence.

This study investigates a blended learning model which incorporates online learning for a competency-focused, work-based learning (WBL) programme within allied healthcare. The case-study is centred on hearing aid audiology.

The study evaluated the feedback received through a tripartite group of stakeholders (learners, academic staff and employers).

Results showed that although there was universal support for blended learning, incorporating online learning, each stakeholder contributed different perspectives. The authors identified that in terms of curriculum design, a comprehensive analysis of the holistic perspective across all stakeholders is essential to ascertain the suitability of this learning mode for WBL. The study may provide the basis of a preparatory framework for the development of a generic, competency-focused model that can be applied across allied healthcare WBL programmes.

Although previous studies of WBL have been reported, to the knowledge of the authors, there is no current reference in the literature to studies that examine thematic areas relevant to all three stakeholders across a programme of this nature in hearing aid audiology.

Higher Education Institutions observe that many students are experiencing mental health issues, such as high levels of anxiety and stress. Young adults are recognised as a vulnerable group who carry the burden of mental health problems worldwide. Mental health interventions can be effective in positively influencing students' emotional and behavioural wellbeing.

In the current study, the principles of Intervention Mapping (IM) were applied to guide the development, implementation, and evaluation of a specifically tailored mental health programme for a selected student cohort in a large Higher Education Institute in Ireland. Mixed qualitative (Delphi technique and focus group discussions) and quantitative (survey) data were gathered to gain a broad perspective of mental health concerns and learning needs among a sample of higher education students (n = 99).

Existing evidence guided by theoretical frameworks were blended to create a specifically tailored mental health programme to meet the needs of higher education students in Ireland. Results indicate that the established six-stages of IM provide an empirical process that has the potential to effectively respond to the mental health needs of students in higher education. IM identifies the priority needs of students in higher education and ensures that suitable behaviour change techniques for mental health are addressed. 10;

IM is a suitable method to critically and collaboratively develop a mental health intervention for the overall wellbeing of the general higher education student population, both nationally and globally. 10;