Noncommunicable Diseases in Saudi Arabia

Page 39

Prevalence and Risk Factors of NCDs in Saudi Arabia  | 17

The level of smoking differs across regions. Multivariate logistic regression models run on the 2013 SHIS database confirm the existence of these regional differences. When compared to Riyadh, the likelihood of daily smoking was highest for the Aljouf population, followed by populations of the Northern Borders, Tabouk, and Hail. According to the 2019 KSA WHS (MOH 2020), the prevalence of daily smoking was highest in Aljouf (14.6 ­percent). The greatest increase in daily smoking was recorded in Riyadh, Albaha, and Aseer, while a significant reduction in daily smoking was recorded in Northern Borders, the Eastern Region, and Alqaseem (figure 2.10). The differences should be considered when selecting the settings in which to (1) scale up the implementation of interventions aimed at decreasing the level of smoking and other tobacco products use and (2) supplement national interventions with programs adapted to the regional specificities. The prevalence of smoking among adults is lower in Saudi Arabia than the GCC country average. Saudi Arabia scores well in comparison with the GCC countries when data on the age-standardized prevalence of smoking are analyzed (figure 2.11). This result is due to the significant efforts made to reduce tobacco consumption in recent years. These efforts have included establishing smoking cessation clinics, imposing taxation and raising prices, banning smoking in public places, banning smoking advertisement, banning the sale of tobacco in small groceries, and requiring tobacco products to be in plain packages. It is unclear how the emerging trends, such as use of electronic cigarettes with a design that is attractive to teenagers, will influence the prevalence of smoking among adults in the future.

FIGURE 2.10

Changes in the prevalence of daily smoking in Saudi Arabia, by region, 2013 and 2019 2013 SHIS Aljouf Northern Borders Tabouk

2019 KSA WHS Aljouf Riyadh Hail

Hail

Tabouk

Makkah

Albaha

Alqaseem Riyadh Eastern Region Albaha Almadinah

Makkah Aseer Northern Borders Jazan Almadinah

Jazan

Eastern Region

Aseer

Alqaseem

Najran

Najran

Key: Dark blue = Increase between 2013 and 2019; Light blue = Decrease between 2013 and 2019. Sources: MOH 2020; MOH and IHME n.d. Note: Dark blue = increase between 2013 and 2019. Light blue = decrease between 2013 and 2019. KSA WHS = Kingdom of Saudi Arabia World Health Survey. SHIS = Saudi Health Interview Survey.


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9.2 Focus on three levels of prevention in the master plan

2min
page 226

sector

1min
page 228

Methodological approach Identification of stakeholders influencing and participating in

4min
pages 236-237

in Saudi Arabia

2min
page 241

diets in Saudi Arabia

2min
page 240

9.5 Benefits of targeting settings

1min
page 231

Prioritizing prevention over treatment

2min
page 225

References

30min
pages 208-218

plans

1min
page 223

Cost-effectiveness of screening

2min
page 198

Effectiveness of interventions to increase screening uptake

2min
page 201

8.6 Cost-effectiveness of screening

4min
pages 202-203

Diseases

1min
page 222

Cost-effectiveness of screening promotion interventions Information gaps, policy recommendations, and future research

2min
page 204

8.3 Recommendations regarding screening in comparative countries

4min
pages 196-197

Effectiveness of screening

2min
page 195

United States

2min
page 193

Screening in Saudi Arabia

2min
page 192

7.17 Evidence on cost-effectiveness of diet-related interventions

5min
pages 166-167

7.16 Evidence on cost-effectiveness of tobacco control interventions

3min
page 165

Cost-effectiveness of population-wide interventions

1min
page 164

7.13 Evidence on effectiveness of setting nutrition standards

2min
page 159

7.10 Evidence on effectiveness of BOP and FOP labeling

3min
page 157

e-cigarettes

2min
page 155

7.6 Evidence of effectiveness of e-cigarette tax

2min
page 154

Saudi Arabia

2min
page 152

Conclusions

1min
page 131

Saudi Arabia

2min
page 150

Saudi Arabia

2min
page 151

Noncommunicable Diseases

5min
pages 143-144

Plan

1min
page 128

Methodology

2min
page 124

References

17min
pages 116-122

Annex 5B: Methodology for estimating the impact of NCDs on HCI

2min
page 115

Annex 5A: Approaches to estimating the economic burden of NCDs

2min
page 114

North Africa

5min
pages 104-105

5.4 NCDs and human capital: Transmission mechanisms

15min
pages 107-112

Conclusions

2min
page 113

Summary and conclusions Annex 4A: Methodology for estimating the economic impact

2min
page 96

Economic burden using the value of a statistical life method Economic burden using the economic growth approach

5min
pages 93-94

References

4min
pages 61-62

3A.2 Adjusted decrease in salt intake and changes to systolic blood pressure in Saudi Arabia, by gender 3A.3 Prevalence estimates for overweight and obesity in Saudi Arabia, by age and

2min
page 78

Economic burden using the cost-of-illness method

2min
page 89

3 Disease prevalence in the employed working-age population in

3min
page 26

3.1 Years of life lost, years lost due to disability, and healthy life expectancy

3min
page 64

and 2019

1min
page 39

3.2 Definition of risk factors for at-risk populations

5min
pages 67-68

Conclusions

2min
page 76
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