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close this bookThe Functional Significance of Low Body Mass Index (IDECG, 1992, 203 p.)
close this folderAssessing the linkages between low body mass index and morbidity in adults: evidence from four developing countries
View the document(introduction...)
View the documentIntroduction
View the documentBMI trends
View the documentMorbidity experience
View the documentCorrelation between low BMI and morbidity
View the documentConclusions and summary
View the documentReferences
View the documentDiscussion

References

ACC-SCN (1992): Second report on the world nutrition situation. Geneva, Switzerland, October.

Alderman H & Garcia M (1992): Food security or health security? Explaining the levels of nutrition in Pakistan. Washington DC: WB Working Papers Series.

Garcia M & Alderman H (1989): Patterns and determinants of malnutrition in children in Pakistan: impact of community health. Pakistan Dev. Rev. 28, no. 4.

Gurney M & Gorstein J (1988): The global prevalence of obesity. An initial overview of available data. Wld Hlth Stat. Q. 41, 251-254.

Haddad L & Bouis H (1991): The impact of nutritional status on agricultural productivity: wage evidence from the Philippines. Oxford Bull Econ. Stat 53, 45-68.

Higgins P & Alderman H (1992): Labor and women's nutrition: a study of energy expenditures, fertility, and nutritional status in Ghana. Ithaca, NY: Cornell Food Nutr. Policy Prog.

James WPT, Ferro-Luzzi A & Waterlow JC (1988): Definition of chronic energy deficiency in adults. A report of a working party of the IDECG. Eur J. Clin. Nutr 42, 969-981.

Kennedy E (1989): Effects of sugarcane production on food security, health and nutrition in Kenya: a longitudinal analysis. Washington, DC: IFPRI Res. Rep. 79.

Kennedy E & Garcia M (1992): BMI and economic productivity. Washington, DC: IFPRI.

King E, Rosenzweig M & Yan Wang (1991): Assessing the economic burden of illness: evidence from 8 countries. Washington, DC: World Bank.

Lopez AD (1990): Causes of death: an assessment of global patterns of mortality around 1985. Wld Hlth Stat. O. 43, 91-104.

Annex I. Illness instrumenting equations (dependent variable: days ill in recent weeks)b


Pakistan (male)

Kenya (female)

Ghana (female)

Philippines (female)

Intercept

-1.524

3.674

4.523

-0.504


(-3.24)**

(1.93)**

(7.24)**

(-2.57)**

Household expenditure per capita

0.0002

0.0008

0.0005

0.0006


(-2.39)**

(0.81)

(0.41)

(0.05)

Age (years)

0.033

0.008

0.082

0.015


(3.07)**

(0.94)

(5.65)**

(4.32)**

Average village illnessa

0.411

0.114

0.196

0.994


(4.13)**

(1.78)*

(2.06)**

(5.73)**

Household size

0.008

0.073

0.099

0.003


(1.62)*

(-3.58)**

(1.98)**

(0.25)

Potable water supply (I = clean)



-01.367





(-1.93)*


R2

0.27

0.24

0.29

0.38

F value

48.7

13.7

10.0

10.30

n

919

1063

2145

461

*P <0.1; **P < 0.01 (t values in parentheses).
aAverage days ill in recent weeks of sample individuals in the village. The individual's own illness is excluded in the calculation of the village average.
bPakistan (8 weeks); Kenya, Philippines (2 weeks); Ghana (4 weeks).