Socioeconomic Determinants of Body Mass Index of Adult Chinese in the 1990s Zhehui Luo, Ph.D. MS Department of Epidemiology Michigan State University.

Slides:



Advertisements
Similar presentations
The Burden of Obesity in North Carolina Obesity-Related Chronic Disease.
Advertisements

K. HERT, M.G. WAGNER, L. MYERS, J. LEVINE*, T. HECK, Y. RHEE HEALTH, NUTRITION, AND EXERCISE SCIENCES, NORTH DAKOTA STATE UNIVERSITY, FARGO, ND, *FAMILY.
Childhood Obesity Landscape. Objectives for This Session  Define childhood obesity (CHO) and understand its scope and effects  Share who some of the.
B - body M - mass I - index. The body mass index (BMI), or Quetelet index, is a measure for human body shape based on an individual's weight and height.
Obesity Extension.
© NOO 2012 noo National Obesity Observatory Examining available data for the adult population.
THE PREVALENCE OF OVERWEIGHT, OBESITY, DIAGNOSED DIABETES MELLITUS AND HYPERTENSION IN THE SWAHILI COMMUNITY OF OLD TOWN AND KISAUNI DISTRICTS IN MOMBASA.
ASSOCIATIONS BETWEEN WYOMING THIRD GRADE BODY MASS INDEX AND THE SCHOOL FOOD ENVIRONMENT Marilyn Hammond.
Smoking, Drinking and Obesity Hung-Hao Chang* David R. Just Biing-Hwan Lin National Taiwan University Cornell University ERS, USDA Present at National.
The Nutrition Transition Program The University of North Carolina at Chapel Hill Du et al., Public Health Nutrition, Feb 2002 The Nutrition Transition.
Jordan Lyerly 1, MSPH, Elizabeth F. Racine 2, DrPH, James Laditka 2, PhD 1 University of North Carolina Charlotte, Health Psychology Program 2 University.
© BRITISH NUTRITION FOUNDATION 2013 Energy (Foundation)
 Calorie (aka. ______________) ◦ Amount of ____________ needed to __________ the temperature of 1 _________ of pure water by 1C  ______ calories =
Body Weight and Mortality: New Population Based Evidences Body Weight and Mortality: New Population Based Evidences Dongfeng Gu, MD Dongfeng Gu, MD Fu.
Unpaid Care and Labor Supply of Middle-aged Men and Women in Urban China Lan Liu Institute of Population Research, Peking University Xiaoyuan Dong Department.
Press Release FOR IMMEDIATE RELEASE:CONTACT: Roseanne Pawelec, Tuesday, July 23, 2002(617) NEARLY HALF OF ALL MASSACHUSETTS RESIDENTS OVERWEIGHT.
Childhood Overweight in Sacramento County, 2001 Cassius Lockett, Ph.D., MS Epidemiology Program Manager Epidemiology Services Department of Health and.
Using SPSS for Chi Square UDP 520 Lab 5 Lin November 8 th, 2007.
Wealth, Education and Demand for Medical Care ___ Evidence from Rural China Feng Jin Qin Bei Yu Yangyang.
TIME CONSTRAINTS, DURABLE CONSUMER GOODS AND THE PREVALENCE OF OBESITY IN WESTERN EUROPE Karsten Albæk.
Determining Healthy Weight Chapter 5. Body Weight Includes the weight of: Bones, Muscle, Fat, and other tissues. People have different body compositions.
Michigan Model Nutrition Lesson 3 What is the formula for weight management?
The effects of initial and subsequent adiposity status on diabetes mellitus Speaker: Qingtao Meng. MD West China hospital, Chendu, China.
WHAT IS BMI? BMI BODY MASS INDEX- BASED ON HEIGHT AND WEIGHT TO DETERMINE AMOUNT OF FAT AN INDIVIDUAL HAS OBESE BMI > 30.
Aging and Obesity Claire Zizza Tenth Annual Diabetes and Obesity Conference April 19, 2011.
Abstract Health Trends in US Adolescents Over the Past 20 Years Sutherland, LA. Lineberger Comprehensive Cancer Center and Department of Nutrition, University.
Relationship Between Reported Carbohydrate Intake and Fasting Blood Glucose Lacey Holzer, Richard Tafalla, University of Wisconsin-Stout Abstract Background:
HS499 Bachelor’s Capstone Week 6 Seminar Research Analysis on Community Health.
Nutritional Requirements GIT | 1 Lecture | Dr. Usman Ghani.
Dr K N Prasad Community Medicine
BELL WORK What do you think are some factors in the rise of obesity?
Community Health Needs Assessment Introduction and Overview Berwood Yost Franklin & Marshall College.
Reproductive and Overall Health Outcomes and Their Economic Consequences for Households in Accra, Ghana Allan Hill and Günther Fink Harvard Center for.
Figure 6-5 (continued fasting). Energy Balance and Weight Management ENERGY IN  Regulation of food intake:  Hunger  Satiation and satiety  Appetite.
Obesity Epidemic in America Going for the 3 Increases: Increase in Health, Increase in Happiness & Increase in Energy Strategies for Success in Weight.
Rwanda: The impact of conflict on fertility Kati Schindler & Tilman Brück Gender and Conflict Research Workshop 10/06/2010.
© BRITISH NUTRITION FOUNDATION 2013 Energy (Extension)
Can Household Dietary Data and Adult Male Equivalent Distribution Assumptions Accurately Predict Individual Level Food Consumption in Ethiopia? Lauer,
Managing Weight and Body Composition. Maintaining a Healthy Weight Body Image: The way your see your body For many people, it can be tied to perception.
UNIT 7 SEMINAR NS 220 Module 7: Meeting Energy Needs.
Chapter 6 Food and Your Health Lesson 1 Managing Your Weight p. 132.
ENERGY BALANCE.
How to Calculate Your Body Mass Index (BMI)
Body Composition Analysis Form
What do you remember?. How many calories per gram are there in protein, carbohydrates, and fat?
Measuring the Effect of Obesity on Earnings Xiaoshu Han Department of Economcs.
Measuring the Impact of Young Adult Mortality on the Wellbeing of Older Persons in KwaZulu-Natal, South Africa Marjorie Opuni-Akuamoa Advisor: Dr David.
Maintaining a Healthy Weight
Healthy Weight for Teens Body Mass Index (BMI) & Basal Metabolic Rate (BMR)
UNIT 4 NS270 NUTRITIONAL ASSESSMENT AND MANAGEMENT Amy Habeck, RD, MS, LDN.
Nursing 4604L Kimberly A. Rogers, RN Healthcare for an Aggregate at Risk Males in Pasco County, Florida Coronary Heart Disease Among Males In Pasco County,
Nutrients. There are six nutrients your body uses:  Carbohydrates  Fats  Proteins  Vitamins  Minerals  water.
© British Nutrition Foundation 2010 Energy – a balancing act Sarah Schenker Nutrition Scientist Georgine Leung Nutrition Scientist 16 th June 2010.
Childhood Obesity in Sheffield: 2007/08 School Year Presented by A. King Senior PH Analyst NHS Sheffield.
Major assignment Prepared by Ahmad Albalawi ID no:
Maintaining a healthy weight has many benefits Better sleep Increase energy level Increase in emotional wellness (decrease in stress) Reduces which diseases?
© BRITISH NUTRITION FOUNDATION 2013 Energy (Extension)
. Associations between natural amenities, physical activity, and body mass index in rural and urban North Carolina counties Stephanie B. Jilcott 1, PhD,
GLOBAL INCIDENCE OF OBESITY: PUBLIC HEALTH IMPLICATIONS Matilda Asante (PhD, RD)
Yolo County Obesity Data Yolo County Childhood Nutrition and Fitness Forum September 18, 2004 Samrina Marshall, MD, MPH Assistant Health Officer, Yolo.
How to Calculate Your Body Mass Index (BMI)
Energy needs of the Human Body Applying the Principles of Nutrition to a Physical Activity Programme
KLARA ZOLOTNITSKAYA Nutrition and Dietetics Major
Physical Health: Nutrition
Nutrition in Human Health
Chapter 1: CKD in the General Population
Obesity Extension.
Obesity Extension.
The Healthy Beverage Index Is Associated with Reduced Cardio-metabolic Risk in US Adults: A Preliminary Analysis Kiyah J. Duffey, PhD Brenda M. Davy, PhD,
Childhood Overweight in Sacramento County, 2001
Presentation transcript:

Socioeconomic Determinants of Body Mass Index of Adult Chinese in the 1990s Zhehui Luo, Ph.D. MS Department of Epidemiology Michigan State University

Outline Simple Model Simple Model Data and Econometric Issues Data and Econometric Issues Trends and Descriptives Trends and Descriptives Results of Reduced Form Demand Results of Reduced Form Demand Results of Dynamic Demand Results of Dynamic Demand Results of Production Function Results of Production Function

The Model s. t.

The Model

If total time available for leisure and work is not affected by health status If total time available for leisure and work is not affected by health status Labor is the same as the effective labor in Grossman’s sense Labor is the same as the effective labor in Grossman’s sense Equilibrium condition is: Equilibrium condition is:

Estimating Equations

The Data Chinese Health and Nutrition Survey (CHNS) 1989, 1991, 1993 and 1997 Chinese Health and Nutrition Survey (CHNS) 1989, 1991, 1993 and 1997 Carolina Population Center at the University of North Carolina, Institute of Nutrition and Food Hygiene, Chinese Academy of Preventive Medicine Carolina Population Center at the University of North Carolina, Institute of Nutrition and Food Hygiene, Chinese Academy of Preventive Medicine Sampling: multistage, random cluster process Sampling: multistage, random cluster process

The Data Adults aged 20 and above Adults aged 20 and above Excluding pregnant women Excluding pregnant women Sample size: Sample size: 1989: 4550 persons, 2736 households 1991: 7356 persons, 3402 HH 1993: 6926 persons, 3164 HH 1997: 7580 persons, 3512 HH

Sample Selection Study Sample OutsideP-value Age % Male Education % Urban Real PCINC Real Assets

The Data BMI: Weight (kg)/ height (m 2 ) BMI: Weight (kg)/ height (m 2 ) Classification BMI Range Health Risk Underweight<18.5Increased Normal18.5~<25Least Overweight25~<30Increased Obese Class I Class I Class II Class II Class III Class III30~<3535~<40>=40High Very High Highest

The Data Calorie, fat, protein intakes and percent of Calories from fat, protein and carbohydrates Calorie, fat, protein intakes and percent of Calories from fat, protein and carbohydrates The 1991 China Food Composition Table The 1991 China Food Composition Table 1 gram fat = 9 Kcal energy 1 gram fat = 9 Kcal energy 1 gram protein = 4 Kcal energy 1 gram carbohydrates=4 Kcal energy

Economic Development in 1989 ~ Real PC Income Prod Assets Years of Education % Employed % HH water factory Mean BMI, Women Mean BMI, Men

Trends in Food Availability Source: FAO 2002 Food Balance Sheet for China

Trends in overweight and obesity % Men and Women overweight (BMI 25) % Men and Women obese (BMI 30)

Trends in overweight % Men overweight by age groups % Women overweight by age groups

Trends in overweight % Men overweight by rural-urban residence % Women overweight by rural-urban residence

Trends in overweight % Men overweight by education levels % Women overweight by education levels

BMI Distribution: Men Russel Davidson and Jean-Yves Duclos (2000), performed with DAD 4.3

BMI Distribution: Women Russel Davidson and Jean-Yves Duclos (2000), performed with DAD 4.3

Estimating Equation The linear representation: Baltagi and Wu (1999)

Estimating Equation Econometric Issues Econometric Issues Measurement Errors Measurement Errors Functional form: nonlinearity of effects Functional form: nonlinearity of effects Age, cohort and period effects Age, cohort and period effects

Age, Period and Cohort Analysis To identify: To identify: Origin-related process – cohort effect dominant Origin-related process – cohort effect dominant Aging process Aging process Instantaneous process – function of time Instantaneous process – function of time Linear dependency: Linear dependency: Deaton (1997), Holford (1983) Deaton (1997), Holford (1983)

Age, Period and Cohort Analysis Spacing of the data determines the number of extra constraints (n) needed Spacing of the data determines the number of extra constraints (n) needed CHNS 1989, 1991, 1993, 1997: n=2 CHNS 1989, 1991, 1993, 1997: n=2 If arbitrarily impose two constraints: If arbitrarily impose two constraints:

Age, Period and Cohort Analysis Meaningful constraints: Meaningful constraints: Source: State Statistical Bureau (1992): 1990 Population Census of China.

Age, Period and Cohort Analysis Results from age dummies, five-year cohort dummies and year dummies: Results from age dummies, five-year cohort dummies and year dummies:

Reduced Form Demand (I)

Probability Model for Overweight

Reduced Form Demand (I) Results from the basic model: Results from the basic model: Education effect on female BMI inversely U-shaped Education effect on female BMI inversely U-shaped % Calories from fat and protein increase with education % Calories from fat and protein increase with education Male BMI increases with productive assets, female inversely U-shaped Male BMI increases with productive assets, female inversely U-shaped % Calories from fat and protein increase with assets, except for urban men – U-shaped % Calories from fat and protein increase with assets, except for urban men – U-shaped

Reduced Form Demand (II)

Results from the augmented model: Results from the augmented model: Prices significant without controlling community dummies in BMI regressions Prices significant without controlling community dummies in BMI regressions Negative price elasticity of rice, eggs for calories, fat and protein; positive price elasticity of pork Negative price elasticity of rice, eggs for calories, fat and protein; positive price elasticity of pork Better water source – fat, protein intakes and male BMI: positive Better water source – fat, protein intakes and male BMI: positive More excreta – calories and protein: negative More excreta – calories and protein: negative

Dynamic BMI Demand Estimating Equation: Estimating Equation: Instruments: previous years HH resources, community characteristics Instruments: previous years HH resources, community characteristics Results: Results: In short terms lagged BMI is good summary measure of health status In short terms lagged BMI is good summary measure of health status Age effect for women still strong, aging factor Age effect for women still strong, aging factor

Dynamic BMI Demand

BMI Production Function Estimating equation: Estimating equation: Instruments: previous years HH resources, community characteristics Instruments: previous years HH resources, community characteristics Results: Results: In a short period, BMI – a random walk process In a short period, BMI – a random walk process Heavy physical activities negative in OLS and positive in IV Heavy physical activities negative in OLS and positive in IV Food intakes not significant Food intakes not significant

BMI Production Function

Limitations and Future research Measurement: productive assets, fat intake Measurement: productive assets, fat intake Uncertainty Uncertainty Attrition Attrition Health and Labor Market Participation Health and Labor Market Participation Intra-household allocation and Health Intra-household allocation and Health