# data[].attributes.body
Stunting and wasting

# data[].attributes.body
A tool designed to measure and track hunger at global, regional, and nutritional levels-zara

# data[].attributes.body
The nutritional transition model shows how economic growth, technology, leisure, processing relates to nutritional intake and how that links with nutritional caused diseases. -Zara

# data[].attributes.body
Ireland ranks 1/113 and Burundi ranks 113/113

# data[].attributes.body
Average number of years that a person can expect to live "full health" by taking into account years lived in less than full health due to disease or injury. -Zara

# data[].attributes.body
The decline in mortality that comes with the epidemiologic transition widens the “demographic gap” between birth rates and death rates and hence affects demographic change by bolstering population growth- Amelia

# data[].attributes.body
Body mass index

# data[].attributes.body
Crude death rate.

Life expectancy.

Infant mortality rate.

-Amelia

# data[].attributes.body
Health-adjusted life expectancy is a measure of the life expectancy of people within a population while living in full heath. This is achieved through combining a multitude of factors including age and sex-specific health data.

# data[].attributes.body
Average calorie intake per day

# data[].attributes.body
Life Expectancy- A measure of the average age people are estimated to live to in a country.
Child Mortality- When a child dies between birth and the age of 5 per 1000 births, this allows us to an
These both are good indicators of health as if the country is a HIC, it's most likely they will have better technology and healthcare which allows them to treat peoples illnesses and allows them for a longer, healthier life.

# data[].attributes.body
Advantages:
- Indicates quality of health care, water quality and food supplies
- Very easy indicator to understand
Focuses on one of the most important aspects of development

Disadvantages:
- It is hard to get an accurate figure as many births in LEDC would be un-registered.
- High infant mortality rate could be a result of social or political factors. For example, in China, the figure would be very high because China has it's one child policy

# data[].attributes.body
WHR - Waist to hip ratio

# data[].attributes.body
Ranks countries on a 100 point scale - pa

# data[].attributes.body
It measures the affordability,  availability, quality of food -pa

# data[].attributes.body
Body fat percentage

# data[].attributes.body
Protein percentage

# data[].attributes.body
advantages
gives a quantitative proportion of the population
indicates quality of life

disadvantage
doesn't account for differences in the rural to urban or regional variations

# data[].attributes.body
Health adjusted life expectancy. It is based on life expectancy at birth but adjusted for time spent in poor health due to disease or injury

# data[].attributes.body
Global food security index, calorie intake, child stunting and wasting

# data[].attributes.body
Ranks countries on a 100 point scale. Indicators - undernourishment, child wasting and stunting and child mortality

# data[].attributes.body
Measures food security in HICs, LICs, MICs.
Indicators - affordability, availability, quality of food

# data[].attributes.body
It shows how diet shifts over time due to different physical and human factors such as urbanization, economic growth etc

# data[].attributes.body
Health adjusted life expectancy. It is an indicator of level of health in different countries

# data[].attributes.body
- Child mortality rate - number of children dying before the age of 5 per 1000 live births - looks at the access of healthcare and nutrition
- Infant mortality rate - number of children dying before the age of 1 per 1000 deaths
- access to healthcare services - looks at quality and quantity of healthcare services - number of people per doctor and facilities available at the hospital

# data[].attributes.body
Advantages
- indicates access to sanitation as infants need high levels of sanitation
- age specific indicator so easy to compare across countries

Disadvantages
- reliability of data, many births and deaths are not counted

# data[].attributes.body
Advantages
- looks at the quality of life
- indicates the level the health

Disadvantages
- it might be difficult to compare
- reliability of data