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The prevalence of overweight and obesity in children and adolescents is on the increase in developing countries. Therefore, a cheap, accessible and simple screening tool such as the mid-upper arm circumference (MUAC) is required for the prompt assessment. The purpose of this paper is to determine the usefulness of MUAC in assessing overnutrition in comparison with bioelectrical impedance analysis (BIA).

Participants included 1,067 children aged 6–18 years recruited from private and public schools in Egor Local Government Area in Benin City, Nigeria. Body fat was estimated by BIA using a Tanita scale, whereas the MUAC was measured with a non-elastic tape. Receiver operating characteristic analysis was used to test the ability of MUAC to determine children and adolescents identified as overweight and obese by BIA.

The prevalence of overnutrition by MUAC (12.4 percent – overweight 6.0 percent and obesity 6.4 percent) was comparable to that by BIA (12.3 percent – overweight 5.4 percent, obesity 6.9 percent). There was a significant correlation between MUAC and body fat percentage, fat mass, fat mass index and fat-free mass index in both males and females (p=0.000).

This study, in contrast to most other studies on the use of MUAC in the assessment of overnutrition, has the advantage of using BIA cut-offs values against body mass index which does not assess body fat composition. BIA is, however, not the gold standard in the measurement of body fat composition. The optimal MUAC cut-off values of this study may not be representative of the entire country because of its restriction to Benin. Similar studies from different parts of Nigeria will be required to validate this smoothed MUAC percentiles for use in the screening of children and adolescents for overnutrition.

MUAC compares well with BIA in this study and can be a useful, alternative and practical screening tool for assessing obesity in the resource-poor setting.

The internationalization of business has grown the production value chains and created performance challenges for industrial production. Industry 4.0, the digital transformation of industrial processes, promises to deliver performance improvements through smart functionalities. This study investigates how digital transformation translates to performance gain by adopting a systems perspective to drive smartness.

This study uses qualitative research to collect data on the lived experiences of digital transformation practitioners for theory development. It uses semi-structured interviews with industry experts and applies the Gioia methodology for analysis.

The study determined that enterprise smartness is an organizational capability developed by digital transformation, it is a function of integration and the enabler of organizational performance gains in the Industry 4.0 context. The study determined that performance gains are experienced in productivity, sustainability, safety and customer experience, which represents performance metrics for Industry 4.0.

This study contributes a model that inserts smartness in the linkage between digital transformation and organizational outcomes to the digital transformation and production management literature.

The study indicates that digital transformation programs should focus on developing smartness rather than technology implementations, which must be considered an enabling activity.

Existing studies recognized the positive impact of technology on performance in industrial production. The study addresses a missing link in the Industry 4.0 value creation process. It adopts a systems perspective to establish the role of smartness in translating technology use to performance outcomes. Smart capabilities have been the critical missing link in the literature on harnessing digital transformation in organizations. The study advances theory development by contributing an Industry 4.0 value model that establishes a link between digital technologies, smartness and organizational performance.

Mental disorders lead to difficulties in social, occupational and marital relations. Failure to detect mental disorder denies patients potentially effective treatment. This study aimed to assess the prevalence and nature of mental disorders at the primary care settings and the recognition of these disorders by the attending physicians. Over a period of eight weeks, consecutive and consenting patients who attended three randomly selected primary health care facilities in Sagamu Local Government Area of Ogun state were recruited and administered a questionnaire that included a socio-demographic section and Patient Health Questionnaire (PHQ). A total of 412 subjects took part in the study. Subject age ranged from 18-90 years with a mean age of 52.50±21.08 years. One hundred and seventy-six (42.7%) of the subjects were males. A total of 120 (29.1%) of the subjects had depressive disorder, 100 (24.3%) had anxiety disorder, 196 (47.6%) somatoform disorder and 104 (25.2%) met the criteria for an alcohol related problem. The PHC physicians were only able to diagnose disorders relating to mental health in 52 (12.6%) of the subjects. Health and work situations accounted for more than three-quarters of the causes of stress experienced by the subjects. We conclude that there is a high prevalence of mental disorders among patients seen in primary care settings and that a significant proportion of them are not recognized by the primary care physicians. Stress relating to health, work and financial problems is common among primary health care attendees. Physicians in primary health care should be alert to the possibility and the impact of undetected psychiatric morbidity.