Overweight and Obesity in Saudi Arabia

Page 55

Forecasting the Health Burden of Overweight and Obesity on Noncommunicable Diseases in Saudi Arabia

increasing overweight/obesity prevalence. Additionally, low intake of fruits and vegetables and low physical activity are modeled as separate modifiable risk factors, and their impact on the NCD burden in Saudi Arabia is illustrated. Annex 4A presents separate figures for female- and male-forecasted NCD burdens; annex 4B presents supplementary details for intervention assumptions.

METHODS This chapter forecasts several scenarios that assume changes to the prevalence of overweight/obesity, insufficient fruit and vegetable intake, and insufficient physical activity. These estimates are applied to the health and demographic situation in Saudi Arabia; several scenarios—of life expectancy, DALYs, deaths averted, and healthy life expectancy (HALE) that arise from changes in NCD burdens—are forecast. HALE is defined as the average years of life that a person can expect to live in “full health” (WHO 2020). This chapter quantifies, from 2020 to 2050, disability and life years lost due to overweight- and obesity-related NCDs in Saudi Arabia. NCDs cause not only premature death (years of life lost, or YLLs) but also disability (years of life disabled, or YLDs). When summed, these two measures form the DALY value. 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, in subpar health due to disease. DALYs are often used as a basis for health policy making as well as for setting intervention priorities. The DALY calculation appears as follows: DALY = YLL + YLD

(4.1)

Minimizing premature death and disability is the equivalent of maximizing healthy life years. HALE represents a more intuitive way to think about reductions to disability and premature mortality. These reductions can be interpreted as a gain in healthy years lived, or a gain in HALE. This summary measure is adjusted for years that are lived with disease and injury: HALE = ex0 –YLD

(4.2)

where ex0 equals life expectancy at birth. First, the baseline (2020) NCD burden estimates for males and females in Saudi Arabia were retrieved. The data source for these baseline estimates of the DALY burden for specific NCDs was the Global Burden of Disease (GBD) database (IHME 2018b). Next, a baseline scenario was assumed in which the DALY burden remains unchanged from 2020 to 2050—save for the fact that the Saudi population distribution shifts to older ages. The population size and age structure values for 2020, 2030, 2040, and 2050 were based on United Nations (UN) population estimates for Saudi Arabia (UN DESA 2019b). This population projection, combined with the 2017 GBD database, allowed forecasting to 2050 the DALY burden by NCD, sex, and age group. Table 4.1 shows the total DALYs for each of the key health conditions. Demographic life tables were used to calculate baseline (2020) life expectancy, healthy life expectancy, and deaths averted. A life table is a tool used by demographers to quantify mortality and life expectancy at various ages.

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8A.5 Example of UK multiple traffic light front-of-package labeling

5min
pages 177-178

Annex 8A: Case studies of countries with integrated and systems-based strategies Annex 8B: Examples of applied or recommended nutrient

2min
page 172

8.7 Stage 2: Increase the intake of healthy foods in Saudi Arabia 8A.2 Complete set of black seal labels that might be applied on front-of-package

7min
pages 168-170

8A.3 Example of campaign among public health advocates in support of Mexico’s front-of-package labeling regulation 8A.4 Example of cereal before (left) and after (right) Chile’s food labeling and

1min
page 175

labeling for Mexico based on product characteristics

1min
page 174

marketing law

1min
page 176

8A.1 Example of campaign material by advocates for the sugar-sweetened beverages tax to fund drinking fountains in schools

1min
page 173

Applying a Saudi-specific NPM for transforming the food system

2min
page 166

8.6 Stage 1: Reduce the intake of unhealthy foods in Saudi Arabia

2min
page 167

approaches

4min
pages 161-162

in Saudi Arabia and Chile

5min
pages 159-160

References

22min
pages 142-150

healthy diets

2min
page 152

per capita per day), 2010–19

1min
page 154

products

2min
page 153

Conclusions

2min
page 139

reformulation in Saudi Arabia

7min
pages 134-136

7.5 Saudi Arabia’s voluntary traffic light label, 2018

4min
pages 132-133

7A.2 Examples of different tax designs and evidence on their effectiveness

2min
page 141

Key lessons learned from global experiences

2min
page 138

7.3 Trends in carbonated drink volume per capita sales (liters), 2010–18

4min
pages 127-128

Obesity-prevention policies and their effectiveness evidence

2min
page 124

References

17min
pages 114-120

of COVID-19

9min
pages 109-112

Conclusions

2min
page 113

Summary and conclusions

3min
pages 95-96

The impact of obesity on COVID-19

2min
page 102

References

5min
pages 98-100

Estimating the economic burden using the economic growth approach method

2min
page 94

Estimating the economic burden using the value-of-a-statistical-life method

5min
pages 92-93

obesity

5min
pages 90-91

method

2min
page 87

Annex 4B: Supplementary details for intervention assumptions

2min
page 78

5.2 Direct medical costs attributable to overweight

1min
page 88

Key messages

1min
page 85

Results

2min
page 60

risk factors

5min
pages 57-58

Methods

2min
page 55

References

7min
pages 50-52

and obesity

2min
page 44

References

5min
pages 37-38

Socioeconomic and cultural influences

4min
pages 47-48

Dietary behaviors contributing to overweight and obesity Physical inactivity as a risk factor in the development of overweight

8min
pages 41-43

ages 5–9 years, by sex, 1975–2016

1min
page 30

2 Engagement of men and women in sufficient physical activity in

2min
page 23
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