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BackgroundFew assessments of pictorial warnings (PWs) on cigarette packs implemented in Gulf Cooperation Council (GCC) countries have been done.MethodsThis article includes two cross-sectional studies. In Study 1, convenience samples of adults from the Kingdom of Saudi Arabia (n=111) and USA (n=115) participated in a consumer survey to rate a total of nine PWs from the GCC, Australia and the UK. Outcome measures were affective responses to PWs and concerns about smoking. In Study 2, tobacco control experts (n=14) from multiple countries rated the same PWs on a potential efficacy scale and completed one open-ended question about each. The PWs were altered to mask their country of origin. Analyses compared ranking on multiple outcomes and examined ratings by country of origin and by smoking status.ResultsIn the consumer survey, participants from both countries rated the PWs from GCC lower than PWs from other countries on the two measures. The mixed-model analysis showed significant differences between the PWs from Australia and those from the GCC and between the PWs from the UK and those from the GCC (p<0.001) in the consumer and expert samples. The experts’ comments about the PWs implemented in the GCC were negative overall and confirmed previously identified themes about effective PWs.ConclusionThis study shows PWs originating from the GCC had significantly lower ratings than those implemented in Australia and the UK. The GCC countries may need to re-evaluate the currently implemented PWs and update them periodically.

Chronic diseases constitute a major global burden with significant impact on health systems, economies, and quality of life. Chronic diseases include a broad range of diseases that can be communicable or non-communicable. Chronic diseases are often associated with modifications of normal physiological levels of various analytes that are routinely measured in serum and other body fluids, as well as pathological findings, such as chronic inflammation, oxidative stress, and mitochondrial dysfunction. Identification of at-risk populations, early diagnosis, and prediction of prognosis play a major role in preventing or reducing the burden of chronic diseases. Biomarkers are tools that are used by health professionals to aid in the identification and management of chronic diseases. Biomarkers can be diagnostic, predictive, or prognostic. Several individual or grouped biomarkers have been used successfully in the diagnosis and prediction of certain chronic diseases, however, it is generally accepted that a more sophisticated approach to link and interpret various biomarkers involved in chronic disease is necessary to improve our current procedures. In order to ensure a comprehensive and unbiased coverage of the literature, first a primary frame of the manuscript (title, headings and subheadings) was drafted by the authors working on this paper. Second, based on the components drafted in the preliminary skeleton a comprehensive search of the literature was performed using the PubMed and Google Scholar search engines. Multiple keywords related to the topic were used. Out of screened papers, only 190 papers, which are the most relevant, and recent articles were selected to cover the topic in relation to etiological mechanisms of different chronic diseases, the most recently used biomarkers of chronic diseases and finally the advances in the applications of multivariate biomarkers of chronic diseases as statistical and clinically applied tool for the early diagnosis of chronic diseases was discussed. Recently, multivariate biomarkers analysis approach has been employed with promising prospect. A brief discussion of the multivariate approach for the early diagnosis of the most common chronic diseases was highlighted in this review. The use of diagnostic algorithms might show the way for novel criteria and enhanced diagnostic effectiveness inpatients with one or numerous non-communicable chronic diseases. The search for new relevant biomarkers for the better diagnosis of patients with non-communicable chronic diseases according to the risk of progression, sickness, and fatality is ongoing. It is important to determine whether the newly identified biomarkers are purely associations or real biomarkers of underlying pathophysiological processes. Use of multivariate analysis could be of great importance in this regard.