# data[].attributes.body
6. Sedentary school structure (community, organizational)

7. Ease of access to fast foods, sugary beverages (community, organizational)

# data[].attributes.body
1. Lack of policies that encourage physical activities and healthy diet
2. Lack of regulation on food advertisement

# data[].attributes.body
1. Lack of side walks/ cycling lanes
2. Lack of community parks
3. Unsafe neigbourhoods
4. Food insecurity
5. Ease of access to fast foods, sugary beverages
6. Recreation

# data[].attributes.body
1. Lack of playgrounds in schools (sedentary school structure)
2. Lack of inbuilt PA time in school curriculum
3.

# data[].attributes.body
1. Lack of parental supervision/ support
2. Food insecurity

# data[].attributes.headline
Lack of knowledge on healthy eating and physical activities

# data[].attributes.subject
Lack of knowledge on healthy eating and physical activities

# data[].attributes.headline
Poor attitude towards physical activities and healthy meals

# data[].attributes.subject
Poor attitude towards physical activities and healthy meals

# data[].attributes.body
1. Eating unhealthy meals
2. High consumption of sugary products (soda, candies, chocolates etc)
3. Low fruit and veg consumption
4. Portion control

# data[].attributes.body
1. Children
2. Parents
3. City Planners
4. School District
5. Principals/Teachers
6. Food acculturation

# data[].attributes.body
1. Lack of parent self-efficacy to preparing healthy meals.
A. Does the parent know how to prepare a healthy meal?
2. Lack of knowledge on the importance of healthy eating and family meal time
3. Lack of resources to provide healthy meals at home (perceived barrriers)

# data[].attributes.headline
Lack of self-efficacy to perform physical activities

# data[].attributes.subject
Lack of self-efficacy to perform physical activities

# data[].attributes.body
1. Poor sleeping habits
2. Sedentary lifestyle (Tv Time, video games)

# data[].attributes.body
1. Poor Physical and Emotional wellbeing: Could lead to suicide, bullying etc.
2.  Poor academics performance
3. Reduce life expectancy

# data[].attributes.body
1. Reduction in country's human capital
2. Increased unemployment rate
3. Increased poverty in the country
4. Increased economic healthcare cost

# data[].attributes.body
Childhood obesity linked to many medical conditions, including Type !! Diabetes, asthma, cardiovascular disease, insulin resistance, etc

# data[].attributes.headline
Personal Determinants (Phase 4): Env. Agents (Identify who env. agents are in relation to env. condition)

# data[].attributes.subject
Personal Determinants (Phase 4): Env. Agents (Identify who env. agents are in relation to env. condition)

# data[].attributes.headline
Personal Determinants (Phase 4): Priority Population

# data[].attributes.subject
Personal Determinants (Phase 4): Priority Population

# data[].attributes.headline
Env. Conditions (Phase 3) (Interpersonal, Organizational, Community, Society)

# data[].attributes.subject
Env. Conditions (Phase 3) (Interpersonal, Organizational, Community, Society)

# data[].attributes.headline
Health Problem (Phase 2): Obesity among urban U.S. elementary school students (where we are entering the model)

# data[].attributes.subject
Health Problem (Phase 2): Obesity among urban U.S. elementary school students (where we are entering the model)