Noncommunicable Diseases in Saudi Arabia

Page 64

42 | Noncommunicable Diseases in Saudi Arabia

DALYs (45.2 percent due to disability and 54.8 percent due to life years lost). In 2020, Saudi Arabia lost an estimated 5,964,386 DALYs due to NCDs.1 This figure represents 65.2 percent of all DALYs (9,151,937), with 45.8 percent due to disability and 54.2 percent due to life years lost prematurely. Cardiovascular diseases, cancers, and diabetes account for approximately one-third of the NCD burden. The eight major causes of disability and death are ischemic heart disease, stroke, type 2 diabetes, chronic obstructive pulmonary disease (COPD), breast cancer, colon cancer, stomach cancer, and lung cancer. Of these, ischemic heart disease and stroke are the top two contributors to NCDattributable DALYs (17.0 percent). These conditions affect both men and women and, more recently, even people as young as in their 40s. Longer life expectancy and lower fertility rates are changing the age distribution of the country’s population. These changes are expected to exacerbate the overall burden of NCDs and the portion of DALYs attributable to them. The proportion of the population over 50 years of age is projected to increase more than twofold, from 15.1 percent of the total population in 2020 to 36.6 percent in 2050. In 2020, the top eight contributors to NCD-attributed DALYs constituted 25.9 percent of all NCD-attributed DALYs in the country. This proportion is expected to rise to 37.9 percent by 2050 as the population ages. Much of the NCD burden due to these eight conditions can be reduced by modifications to smoking, diet, and exercise. Research over the last 50 years strongly supports the health benefits of reducing NCDs and of modifying behavior in these three key areas. Policy interventions aimed at reducing smoking and lowering salt consumption have been shown to produce lasting long-term effects (Brinsden et al. 2013; Kostova et al. 2014). In addition, the peer-reviewed literature has shown that policy interventions to modify BMI via exercise produce short-term effects (Mitchel et al. 2014). This chapter calculates the health burden from NCDs in Saudi Arabia over the next 30 years by quantifying disability-adjusted life years lost due to NCDs from 2020 to 2050, calculating reductions in premature death and disability as a gain in healthy years lived (box 3.1), and applying several estimates of reductions BOX 3.1

Years of life lost, years lost due to disability, and healthy life expectancy Noncommunicable diseases (NCDs) cause not only premature death (years of life lost [YLLs]) but also disability (years lost due to disability [YLDs]). When summed, these two measures form the disability-­ adjusted life year (DALY). This measure quantifies the health gap between an ideal health state—a theoretical state in which mortality is caused only by old age—and years of life spent disabled or injured and in subpar health due to disease. DALYs are often used as a basis for making health policies as well as for setting intervention priorities. The DALY is calculated as follows:

Minimizing premature death and disability is the equivalent of maximizing healthy life years. Healthy life expectancy (HALE) is defined as the average years of life that a person can expect to live in “full health” (GBD 2017 DALYs and HALE Collaborators 2018). This summary measure is adjusted for years that are lived with disease and injury. HALE represents an intuitive way to think about reducing disability and premature mortality. These reductions can be interpreted as a gain in healthy years lived (or a gain in HALE):

where ex0 = life expectancy at birth.

DALY = YLL + YLD. (B3.1.1)

HALE = ex0 − YLD, (B3.1.2)


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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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