Abstract:Background
Non-communicable diseases (NCDs) are increasingly becoming a challenge worldwide, causing high mortality and morbidity. Saudi Arabia has one of the highest rates of NCDs globally and the highest in the Arabian Gulf region. Epidemiological data indicate that NCDs are responsible for 70 % of all deaths in Saudi Arabia. The aim of this study was to examine the socioeconomic determinants and inequalities in the prevalence of NCDs in Saudi Arabia.
Methods
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“…This study used Arabic and English questionnaires, which had 3 main sections: sociodemographic characteristics, common chronic diseases, and the hospital anxiety and depression scale (HADS). 23,24 The first section was information about the patients’ characteristics and sociodemographic data 1,7 based on epidemiological Saudi data; these social determinants and lifestyle factors include age, sex, marital status, household income, educational level, occupation, health insurance, body mass index (BMI), smoking status, alcohol consumption, level of physical activity, dietary habits, and the effect of the COVID-19 pandemic. Questions about the participants’ dietary habits and levels of physical activity were adopted from other validated questionnaires.…”
Introduction: Patients with chronic diseases can experience psychological conditions, including anxiety and depression. However, the association between chronic diseases and these psychological conditions remains unclear. This study aimed to identify the relationship between anxiety, depression, and common chronic diseases (hypertension, type 2 diabetes, dyslipidemia, and rheumatoid arthritis), and their association with social determinants at an outpatient primary care setting. Methods: The validated hospital anxiety and depression scale was administered electronically to eligible participants. For each condition (anxiety and depression), participants were categorized as normal, borderline abnormal, and abnormal, according to their score out of 21 (≤7 = normal, 8-10 = borderline abnormal, ≥11 = abnormal). The scores and numbers of participants in each category were analyzed and compared with their demographic characteristics and chronic diseases for associations and relationships. Results: We recruited 271 participants (mean age of 51.65 + 11.71 years) attending primary care clinics. Of these patients, 17.7% and 8.9% had borderline abnormal and abnormal depression, respectively, and 10.3% and 8.9% of patients had borderline abnormal anxiety and abnormal anxiety. Common social determinants and lifestyle factors were examined. Age, gender, and sugary drinks’ consumption significantly increased the odds of hypertension and type 2 diabetes; vigorous physical activity 3 times a week, decreased the odds of developing these chronic diseases. Adjusted regression models showed a statistically significant association between the hospital anxiety and depression scale score for borderline and abnormal anxiety and the presence of type 2 diabetes (OR 3.04 [95% CI 1.13, 8.19], P-value = .03 and OR 4.65 [95% CI 1.63,13.22], P-value <.03, respectively) and dyslipidemia (OR 5.93 [95% CI 1.54, 22.86], P-value = .01, and OR 4.70 [95% CI 0.78, 28.35], P-value = .09, respectively). The odds of developing depression were 4 times higher ( P-value .04) in patients with rheumatoid arthritis. Conclusion: Among patients attending primary care outpatient clinics, anxiety, and depression were significantly associated with type 2 diabetes and rheumatoid arthritis, respectively. Social determinants and lifestyle factors play a major role in the development of common chronic diseases in Saudi Arabia. Primary care physicians should consider the patients’ psychological status, sociodemographic status, and lifestyle risks during the management of chronic diseases.
“…This study used Arabic and English questionnaires, which had 3 main sections: sociodemographic characteristics, common chronic diseases, and the hospital anxiety and depression scale (HADS). 23,24 The first section was information about the patients’ characteristics and sociodemographic data 1,7 based on epidemiological Saudi data; these social determinants and lifestyle factors include age, sex, marital status, household income, educational level, occupation, health insurance, body mass index (BMI), smoking status, alcohol consumption, level of physical activity, dietary habits, and the effect of the COVID-19 pandemic. Questions about the participants’ dietary habits and levels of physical activity were adopted from other validated questionnaires.…”
Introduction: Patients with chronic diseases can experience psychological conditions, including anxiety and depression. However, the association between chronic diseases and these psychological conditions remains unclear. This study aimed to identify the relationship between anxiety, depression, and common chronic diseases (hypertension, type 2 diabetes, dyslipidemia, and rheumatoid arthritis), and their association with social determinants at an outpatient primary care setting. Methods: The validated hospital anxiety and depression scale was administered electronically to eligible participants. For each condition (anxiety and depression), participants were categorized as normal, borderline abnormal, and abnormal, according to their score out of 21 (≤7 = normal, 8-10 = borderline abnormal, ≥11 = abnormal). The scores and numbers of participants in each category were analyzed and compared with their demographic characteristics and chronic diseases for associations and relationships. Results: We recruited 271 participants (mean age of 51.65 + 11.71 years) attending primary care clinics. Of these patients, 17.7% and 8.9% had borderline abnormal and abnormal depression, respectively, and 10.3% and 8.9% of patients had borderline abnormal anxiety and abnormal anxiety. Common social determinants and lifestyle factors were examined. Age, gender, and sugary drinks’ consumption significantly increased the odds of hypertension and type 2 diabetes; vigorous physical activity 3 times a week, decreased the odds of developing these chronic diseases. Adjusted regression models showed a statistically significant association between the hospital anxiety and depression scale score for borderline and abnormal anxiety and the presence of type 2 diabetes (OR 3.04 [95% CI 1.13, 8.19], P-value = .03 and OR 4.65 [95% CI 1.63,13.22], P-value <.03, respectively) and dyslipidemia (OR 5.93 [95% CI 1.54, 22.86], P-value = .01, and OR 4.70 [95% CI 0.78, 28.35], P-value = .09, respectively). The odds of developing depression were 4 times higher ( P-value .04) in patients with rheumatoid arthritis. Conclusion: Among patients attending primary care outpatient clinics, anxiety, and depression were significantly associated with type 2 diabetes and rheumatoid arthritis, respectively. Social determinants and lifestyle factors play a major role in the development of common chronic diseases in Saudi Arabia. Primary care physicians should consider the patients’ psychological status, sociodemographic status, and lifestyle risks during the management of chronic diseases.
“…The impact on SMEs has led to cuts in employment. Though the government allocated $20 US billion in stimuli, long-term solutions are needed [10]. SMEs should be equipped with strategies such as resilience to help them survive and thrive.…”
Section: Problem Statementmentioning
confidence: 99%
“…The SMEs under investigation are those that hold between 6 and 49 employees from small enterprises and between 50 and 249 for medium enterprises, as stated by [19]. SMEs create direct employment for over 4.5 million individuals [10]. General Authority Statistics (GaStat) reports that SMEs generated a revenue of $44.5 US million by the end of 2018 [16].…”
Section: Based On These Research Questions the Study Aims To Address ...mentioning
confidence: 99%
“…The dynamic capabilities theoretical framework, introduced by [1], can be incorporated into the present study. The framework has gained popularity as a useful tool for explaining performance dynamics across firms [9,10]. The model integrates concepts and strategies that enable businesses to withstand turbulence created by an unstable market.…”
Existing studies have predominantly explored the influence of supply chain resilience on the performance of firms in the context of developed economies. This study highlights the need for SMEs to be prepared to tackle uncertainties in business operations. Background: Small and Medium Enterprises (SMEs) play a critical role in every economy, and limited studies have highlighted the significance of resilience in the firms. Therefore, this study aims to determine the impact of supply chain resilience on SMEs’ performance in Saudi Arabia based on three dimensions of resilience, namely agility, robustness, and flexibility. It aims to investigate how they relate to the dimensions of SMEs’ performance, namely production performance and market/sales performance. This study also investigates the overall impact of supply chain resilience as a construct on SMEs’ performance. Methods: This study employed a quantitative research design to answer the research questions. A self-administered questionnaire was used to collect data. The study was based on 255 samples of managers in SMEs from Saudi Arabia. The hypothesized model has been tested using the SPSS/Amos 26. Results: Based on the findings, it has been found that supply chain agility and flexibility had a significant positive relationship with SMEs’ production and marketing/sales performances. Supply chain robustness demonstrated a significant positive relationship with SMEs’ production performance but not their marketing/sales performances. Overall, there was a significant positive relationship between supply chain resilience and SMEs’ performance. Conclusions: This study contributes to the body of literature on supply chain resilience by expounding knowledge on aspects such as agility, flexibility, and robustness. The study enhances our understanding of the role of supply chain resilience on SMEs’ performance in an emerging economy context.
“…For instance, SES is a significant determinant of health and has been linked to access to care, health status, low birth weight, cardiovascular diseases, diabetes, hypertension, and cancer. 19 Indicators of SES at a national level in KSA have not been integrated along with other data sources at a population level. 20 Figure 1 Summary of population health data challenges in KSA and our proposed recommendations to eliminate these challenges.…”
Section: Current Challenges To Population Health Data In the Kingdommentioning
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