THE CEBU LONGITUDINAL HEALTH AND NUTRITION SURVEY (CLHNS) A Multipurpose Study of Mother-Child Pairs in the Philippines (a cohort or panel study)

Slides:



Advertisements
Similar presentations
The Burden of Obesity in North Carolina
Advertisements

Self-Perceived Health in Early Adulthood: An examination of distal, childhood effects John Cairney, PhD Centre for Addiction and Mental Health Centre for.
MEASURING LABOUR FORCE PARTICIPATION OF WOMEN
THE 2004 LIVING CONDITIONS MONITORING SURVEY : ZAMBIA EXTENT TO WHICH GENDER WAS INCORPORATED presented at the Global Forum on Gender Statistics, Accra.
Health statistics in MICS and DHS – a gendered perspective Holly Newby Statistics & Monitoring Section UNICEF ESA/STAT/AC.219/12.
Ghana Statistical Service
© March, In Their Own Right, 2002The Alan Guttmacher Institute (AGI) Why Worry About Men? Addressing mens sexual and reproductive health will help.
TRCHS 1999 Tanzania Reproductive and Child Health Survey (TRCHS) 1999 Preliminary findings presented by The RCHS Unit, MOH.
National Family Health Survey Bihar
1 The SEP Gradient, Race, or the SEP Gradient and Race: Understanding Disparities in Child Health and Functioning Lisa Dubay, PhD, ScM The Urban Institute.
National survey Theme Transitions to adulthood: social context, education, work, and marriage among 15 to 24 year olds Objective To establish a base of.
1. Describe your last weekend activities, include what time you woke up, went to bed, nap, what you ate (fruits, vegetables, junk food), time you spent.
ELSA English Longitudinal Study of Ageing The English Longitudinal Study of Ageing Rebecca Taylor National Centre for Social.
Gender and healthy ageing in Britain Emily Grundy, LSHTM, UK. GeNET Seminar October 2005.
The Relationship between Childbearing and Transitions from Marriage and Cohabitation in Britain Fiona Steele 1, Constantinos Kallis 2, Harvey Goldstein.
Multilevel Event History Analysis of the Formation and Outcomes of Cohabiting and Marital Partnerships Fiona Steele Centre for Multilevel Modelling University.
Evaluation of Education Maintenance Allowance Pilots Sue Middleton - CRSP Carl Emmerson - IFS.
Infant Feeding and Carers Surveys Steve Webster NHS IC.
SADC Course in Statistics Setting the scene (Session 01)
Coverage Bias in Traditional Telephone Surveys of Low-Income and Young Adults Centers for Disease Control and Prevention National Center for Health Statistics.
GENERATIONS AND GENDER SURVEY IN RUSSIA: Parents and Children, Men and Women in Family and Society 2 nd wave IWG, 13 May, 2008 Oxana Sinyavskaya, IISP.
1 The Wealth and Income Position of the Retirement and Pre-Retirement Population René Morissette and Garnett Picot Statistics Canada.
Education, Life Cycle and Mobility: A Latin American Perspective
Sexual Behaviors that Contribute to Unintended Pregnancy and Sexually Transmitted Infections, Including HIV Infection.
Name of presenter(s) or subtitle Canadian Netizens February 2004.
Opportunities for Prevention & Intervention in Child Maltreatment Investigations Involving Infants in Ontario Barbara Fallon, PhD Assistant Professor Jennifer.
Asthma in Minnesota Slide Set Asthma Program Minnesota Department of Health January 2013.
2011 WINNISQUAM COMMUNITY SURVEY YOUTH RISK BEHAVIOR GRADES 9-12 STUDENTS=1021.
2011 FRANKLIN COMMUNITY SURVEY YOUTH RISK BEHAVIOR GRADES 9-12 STUDENTS=332.
© 2002, CARE USA. All rights reserved. ECARMU Program Quality 17 March 2010 Telling the Story of our Impact Global Processes for Impact Measurement.
Historical Changes in Stay-at-Home Mothers: 1969 to 2009 American Sociological Association Annual Meeting Atlanta, GA August 14-17, 2010 Rose M. Kreider,
United Nations Population Division, Demographic dynamics of youth POPULATION DIVISION DESA.
Preliminary Key Findings Zambia Demographic and Health Survey.
1 The Role of Family Planning in Achieving the National Strategic Vision in Zambia Ministry of Health September 2010.
Measures of Child Well-Being from a Decentralized Statistical System: A View From the U.S. National Center for Health Statistics Stephen J. Blumberg, Ph.D.
Fertility history and health in later life: A study among older women and men in the British Household Panel Survey Sanna Read and Emily Grundy Centre.
Influence of socioeconomic disparities on the nutritional status of Mongolian children under 5 years of age Ganzorig Dorjdagva, Ph.D. HRO Meeting May 28,
Carl E. Bentelspacher, Ph.D., Department of Social Work Lori Ann Campbell, Ph.D., Department of Sociology Michael Leber Department of Sociology Southern.
Understanding the role of child marriage on reproductive health outcomes: evidence from a multi- country study in South Asia Deepali Godha, David Hotchkiss,
What characteristics differentiate method switchers from discontinuers? Janine Barden-O’Fallon, PhD Ilene Speizer, PhD University of North Carolina at.
Rwanda Demographic and Health Survey – Key Indicators Results.
Jordan Lyerly 1, MSPH, Elizabeth F. Racine 2, DrPH, James Laditka 2, PhD 1 University of North Carolina Charlotte, Health Psychology Program 2 University.
Nutritional Status of Children
COMMUNITY PROFILE: TULSA 2014 Prepared by the Community Service Council, with support from the Metropolitan Human Services Commission November 2014.
Patterns of malnutrition by HIV status & covariates of malnutrition in 1-4 year olds in rural South Africa Kimani-Murage, Norris SA, Pettifor JM, Tollman.
Socioeconomic Determinants of Body Mass Index of Adult Chinese in the 1990s Zhehui Luo, Ph.D. MS Department of Epidemiology Michigan State University.
Addressing the SRH needs of married adolescent girls: Lessons from a case study in India K. G. Santhya Shireen J. Jejeebhoy Population Council, New Delhi.
Father Involvement and Child Well-Being: 2006 Survey of Income and Program Participation (SIPP) Child Well-Being Topical Module 1 By Jane Lawler Dye Fertility.
National Institute of Population Studies Islamabad.
SEMINAR PRESENTATIONS
A Picture of Young Children in the U.S. Jerry West, Ph.D. National Center for Education Statistics Institute of Education Sciences EDUCATION SUMMIT ON.
Rwanda: The impact of conflict on fertility Kati Schindler & Tilman Brück Gender and Conflict Research Workshop 10/06/2010.
DEMOGRAPHIC VARIABLES AND ITS SIGNIFICANCE FOR BUSINESS ACTIVITIES By Prof.Dr.Tadjuddin Noer Effendi MA.
Felicia Yang DeLeone, Institute for Children, Poverty and Homelessness Dona Anderson, Homes for the Homeless November 7, 2011 Child Care Use in Homeless.
The Adolescent Girls’ Initiative: Economic Empowerment and Reproductive Health Mattias Lundberg 1 December 2009.
Out-migration of Young Adults and Living Arrangements of the Elderly in Rural China: The Case of Chaohu Merril Silverstein Andrus Gerontology Center University.
Cally Ardington, Nicola Branson, Murray Leibbrandt, University of Cape Town David Lam, Vimal Ranchhod University of Michigan January, 2009 Assessing the.
FECUNDITY Fecundity indicates the physiological ability among woman to conceive or to bear children. Fecundity indicates the physiological ability among.
Dependency Ratio The proportion of persons above 65 years and below 15 years of age are considered to be dependent on the economically productive age.
TUVALU DEMOGRAPHIC AND HEALTH SURVEY OUTLINE  Background  Questionnaire  Sensitive questions  Training  Indicators.
Experience of Childhood Abuse and STI Prevalence Among Young Ukrainian Women Annie Dude University of Chicago American Public Health.
2014 Kenya Demographic and Health Survey (KDHS) Key Indicators Report.
2015 Afghanistan Demographic and Health Survey (AfDHS) Key Indicators Report.
Chapter 8 Adolescents, Young Adults, and Adults. Introduction Adolescents and young adults (10-24) Adolescence generally regarded as puberty to maturity.
Partner violence among young adults in the Philippines: The role of intergenerational transmission and gender Jessica A. Fehringer Michelle J. Hindin Department.
2014 Kenya Demographic and Health Survey (KDHS) Key Indicators.
ASSESSMENT OF NUTRITIONAL STATUS
When Children Become Adults: Methodological Challenges for International Birth Cohort Studies: The Cebu Longitudinal Health and Nutrition Survey Linda.
Introduction and Methodology
The Lancet Child & Adolescent Health
Presentation transcript:

THE CEBU LONGITUDINAL HEALTH AND NUTRITION SURVEY (CLHNS) A Multipurpose Study of Mother-Child Pairs in the Philippines (a cohort or panel study)

a joint project of: University of San Carlos Office of Population Studies Fdn. Cebu City, Philippines Carolina Population Center University of North Carolina at Chapel Hill NC, USA and

Study area: Metro Cebu Study period:

Sample: a cohort of mothers and their index children born between May 1, 1983 and April 30, in 17 urban and 16 rural barangays of Metro Cebu - using a stratified cluster sampling

SURVEY ROUNDS: Baseline1983 – 1984 Birth Interview1983 – 1984 Longitudinal surveys – 1986 First follow-up survey1991 – 1992 Second follow-up survey1994 – 1995 Third follow-up survey1999 – 2000 Fourth follow-up survey2002 – 2003 Fifth follow-up survey2005

PURPOSE OF THE SURVEYS: 1983 – 1986Study child care and infant feeding practices 1991 – 1992 Monitor the growth of children 1994 – 1995a) Study womens autonomy, family planning use and labor force participation b) Examine the relationship between childrens nutritional status and school performance 1999 – 2000Study adolescents reproductive health, sexual behavior and parent communication

2002 & 2005 Examine how childhood health and nutritional status affect educational attainment, work patterns and wages of young adults

Number of mothers interviewed at selected time points in the CLHNS: Baseline3,327 (100%) Birth interview3,051 (91.7) Longi 122,555 (76.8) 1991 Follow-up2,395 (72.0) 1994 Follow-up2,279 (68.5) 1999 Follow-up1,991 (59.8) 2002 Follow-up2,102 (63.2) 2005 Follow-up2,060 (61.9)

Number of children studied: Baseline/Birth interview:3,080 single live births 51 stillbirths/miscarriages 17 multiple births 179 lost/migrated/refused Longitudinal survey 122,550 (82.8%) 155 infant/child deaths With inclusion of some multiple births: 1991 Follow-up2,261 (73.0) 1994 Follow-up2,181 (70.4) 1999 Follow-up2,089 (67.5) 2002 Follow-up2,051 (66.2) 2005 Follow-up1,912 (61.7)

Approximate ages of mothers and children: MothersChildren Baseline/Birth Interview Longitudinal Survey Follow-up Follow-up Follow-up Follow-up Follow-up

Compared to all ever-married women in Metro Cebu during the 1980 Census, the CLHNS mothers were: - Younger - Had more children - Less likely to have completed college CLHNS mothers who dropped out of the survey were more likely to be: - Younger - Primiparous or of low parity - With more years of education - In the labor force

Survey components/modules: A.Core modules Demographic – HH composition, pregnancy history, knowledge and use of family planning Socioeconomic – HH income, assets and expenditures Environmental – water source, sanitation and hygiene, type of settlement Diet – 24-hr food recall of mother and child Anthropometry – weight, height, arm, waist and hip circumference Community characteristics – infrastructure, facilities, prices and wages

B. Age-specific/special interest modules: - Childrens IQ and school achievement scores (1991/1994) - Domestic violence, womens status and decision-making (1994 – 2005) - In-depth interviews of mothers on FP, decision-making, employment (1994) - In-depth interviews of husbands (1998) - Pubertal maturation and adolescent reproductive health (1999) - Parental views on adolescent sexual and reproductive behavior (1999) - Risk factors for cardiovascular diseases (1999/2005)

C. New modules for Event history matrix - schooling, employment, residence, sexual relationship, cohabitation & marriage, fertility, major illnesses Education training and skills requirement for young adults Health indicators relevant to young adults - STDs and risk-taking behavior Body image Measures of psychological wellbeing Financial autonomy Activities of daily living Memory test for mothers Blood samples, saliva samples

The CLHNS data have been used in at least 75 publications 20 doctoral dissertations Data are available in: CD-ROM (stata format) - request from OPS World Wide Web (1991 and 1994 surveys)

Some substantive contributions of the CLHNS: Determinants of birth outcomes Infant morbidity, mortality and growth Infant feeding practices – breastfeeding, role of media and marketing of infant formula Consideration of environmental factors such sanitation and water quality on infant health Birth spacing and postpartum amenorrhea Child growth and development – stunting, wasting and growth retardation and effects on cognitive test performance of children Reproductive health and sexuality – unmet need for adolescent health care Womens work health and nutrition Domestic violence Husbands perceptions on family planning and wives work participation Health effects of urbanization Sexual initiation, and transition to marriage

Future direction: Application of intergenerational cohort analysis CVD risk factors clustering in mothers and offsprings amidst rapid development (nutrition transition)

Childhood Stunting and School Attainment of Filipino Young Adults (USC-OPS preliminary analysis of the 2005 survey)

Purpose of the 2002 & 2005 surveys: Examine how childhood health and nutritional status affect educational attainment, work patterns and wages of young adults Purpose of the current analysis: Explore long term effects of early childhood stunting on school attainment and work status in young adulthood.

Previous studies using CLHNS data have shown that undernutrition (stunting) of Filipino children at age 2 years have adverse effects on age at entry into school, grade repetition, and grade completion up to high school (Daniels & Adair, 2004; see also Mendez & Adair, 1999; Glewwe and King, 1991) Recent data permits the examination of the effect of stunting or growth retardation at age 2 on education up to the tertiary level. Main exposure variable: Stunting - based on height-for-age Z-score of < -2 SD based on the WHO/NCHS standard.

Outcome measures: 1)Final grade/year completed (continuous) 2)Completion of high school (binary) 3)Completion of college (binary) Confounding/control variables: -Mothers age -Mothers education -Number of siblings -Household asset score (1-6) -Urban/rural classification Mediating variable: IQ test score at age ~8 years

Statistical models: Linear regression and logistic regression Analysis stratified by sex -1,859 index children in complete information in 2005 (969 males, 890 females)

Profile of CLHNS Sample by Sex More females stunted at age 2, but more females have completed high school and college

Odds of being included in analysis Sample attrition did not introduce bias with respect to these characteristics

Linear Regression Models: Final grade/year completed For both sexes, stunting at age 2 is associated with lower school attainment. The effect of stunting is stronger in females than males. IQ mediates some of the effects of early childhood stunting on school attainment. The attenuating effect of stunting on school attainment is larger for females than males.

Logistic regression: High school completion and College completion With the mediating effect of IQ, stunting at age 2 is not associated with high school completion for both sexes but is associated with reduced Likelihood of college completion among females.

Summary of preliminary findings Stunting at age 2 is associated with lower school attainment for both sexes Effect of stunting is stronger in females than in males IQ is a mediating factor of the effect of early childhood stunting on school attainment - this influence is stronger in females than males Stunting is associated with reduced likelihood of college completion among females

Height-for-age in Early Childhood and Work Status of Young Filipino Adults (USC-OPS preliminary analysis of the 2005 survey)

Outcome variable Work status in 2005 defined as: 0 - not working 1 - working in the informal sector 2 - working in formal sector i.e., a) hours worked >= 40 hours/week b) pay is >=P 173/day (~$3.46),and c) benefits from SSS/GSIS/PhilHealth other health insurance or PagIBIG Exposure variable Height-for-Age Z-Score (HAZ) at two years old

Confounders: birth weight mothers schooling attainment household location (urban-rural) ownership of assets Stratified by: Sex Mediating factor: Last grade/year completed Statistical model: Multinomial logistic regression

Summary of preliminary findings: HAZ is positively associated with formal sector work relative to not working among males HAZ is positively associated with formal versus informal sector work among females The association between HAZ and formal sector work is primarily mediated by educational attainment (i.e., HAZ loses significance for females, and is significant only at p<.15 for males)

Thank you !