Special issue on “The role of intellectual capital and integrated reporting in management and governance: a performative perspective”

Journal of Management and Governance -     

Musculoskeletal symptoms and workers' perception about job factors in a pulp and paper industry

The study aimed to conduct a literature review as a step of the development of a new questionnaire about the nursing workers' perception of job factors that may lead to musculoskeletal symptoms. An information synthesis was achieved by collecting data from studies that fitted the search criteria. The results showed that despite the existence of several job factors related to musculoskeletal symptoms, no specific questionnaire that evaluates this relationship was found. Therefore, this literature review presents important topics for developing the first questionnaire to analyze work activities that may contribute to pain and discomfort among nursing personnel.     

The Family Affluence Scale as a Measure of National Wealth: Validation of an Adolescent Self-Report Measure

One explanation for a lack of consistency in SES-health associations in youth is that parent-based income and occupation measures are inadequate. The Family Affluence Scale (FAS), a four-item measure of family wealth, has been developed in the WHO Health Behaviour in School-aged Children Study as an alternative measure. The aim of this paper is to examine the criterion and construct validity of the FAS as a measure of national absolute wealth in 35 countries. A general measure of national wealth, Gross Domestic Product (GDP) for the year 2001, corrected for Purchasing Power Parity, was used as a gold standard. For the composite FAS index, there was a similar strength in country rank order correlation (0.87) as with GDP, and a Kappa agreement coefficient of 0.57, indicating good criterion validity. FAS index associations with national health indicators were systematically higher than the values obtained with GDP. These features suggest that FAS can be used with confidence in aggregate analyses of HBSC data that focus on relationships between SES and adolescent health.     

Job factors related to musculoskeletal symptoms among nursing personnel--a review

The study aimed to conduct a literature review as a step of the development of a new questionnaire about the nursing workers' perception of job factors that may lead to musculoskeletal symptoms. An information synthesis was achieved by collecting data from studies that fitted the search criteria. The results showed that despite the existence of several job factors related to musculoskeletal symptoms, no specific questionnaire that evaluates this relationship was found. Therefore, this literature review presents important topics for developing the first questionnaire to analyze work activities that may contribute to pain and discomfort among nursing personnel.     

Identifying Environmental and Social Factors Predisposing to Pathological Gambling Combining Standard Logistic Regression and Logic Learning Machine

Identifying potential risk factors for problem gambling (PG) is of primary importance for planning preventive and therapeutic interventions. We illustrate a new approach based on the combination of standard logistic regression and an innovative method of supervised data mining (Logic Learning Machine or LLM). Data were taken from a pilot cross-sectional study to identify subjects with PG behaviour, assessed by two internationally validated scales (SOGS and Lie/Bet). Information was obtained from 251 gamblers recruited in six betting establishments. Data on socio-demographic characteristics, lifestyle and cognitive-related factors, and type, place and frequency of preferred gambling were obtained by a self-administered questionnaire. The following variables associated with PG were identified: instant gratification games, alcohol abuse, cognitive distortion, illegal behaviours and having started gambling with a relative or a friend. Furthermore, the combination of LLM and LR indicated the presence of two different types of PG, namely: (a) daily gamblers, more prone to illegal behaviour, with poor money management skills and who started gambling at an early age, and (b) non-daily gamblers, characterised by superstitious beliefs and a higher preference for immediate reward games. Finally, instant gratification games were strongly associated with the number of games usually played. Studies on gamblers habitually frequently betting shops are rare. The finding of different types of PG by habitual gamblers deserves further analysis in larger studies. Advanced data mining algorithms, like LLM, are powerful tools and potentially useful in identifying risk factors for PG.     

The uniformly minimum variance unbiased estimator of odds ratio in case–control studies under inverse sampling

The stated goal of this paper is to propose the uniformly minimum variance unbiased estimator of odds ratio in case–control studies under inverse sampling design. The problem of estimating odds ratio plays a central role in case–control studies. However, the traditional sampling schemes appear inadequate when the expected frequencies of not exposed cases and exposed controls can be very low. In such a case, it is convenient to use the inverse sampling design, which requires that random drawings shall be continued until a given number of relevant events has emerged. In this paper we prove that a uniformly minimum variance unbiased estimator of odds ratio does not exist under usual binomial sampling, while the standard odds ratio estimator is uniformly minimum variance unbiased under inverse sampling. In addition, we compare these two sampling schemes by means of large-sample theory and small-sample simulation.