The Garhwal Himalayas are a part of a unique ecosystem, with sharp agro-climatic variations within a very small geographical area (53,485 km2). The varied agro-climatic situations result in different cropping systems and socio-economic lifestyles that could likely affect the nutritional status of the people living in this region. This article will attempt to explore the impact of these variables (namely, age, family size, education, income, calorie and protein intake, land holding, number of animals, and wheat production) on the body mass index (BMI) of the population residing in the Garhwal Hills. A total of 1,030 subjects were studied from the three agro-climatic zones (406 from the high hills, 292 from the mid hills, and 332 from the low hills). It has been found that the people living in the high hills are the most undernourished, as the lowest percentage of people (52.6 per cent) with an acceptable BMI and the highest percentage of people in the severely malnourished category (11.1 per cent) are found here. People living in urban areas have a better nutritional status. Correlation studies show that the nutritional status of the population improves with age, literacy levels, and small family size. In some cases, calorie and protein intake have a positive impact on the health of the people, whereas size of land holding, number of animals, and income of the family do not have any significant influence on nutritional status. 相似文献
In contrast to other reliability estimates, test-retest reliability (or reproducibility) captures not only the measurement error of an assessment instrument, but also the stability of the construct measured. Consequently, one would expect any departure from identity (Y = X) of measurement pairs (X first, and Y second measurement) to be treated as 'error' by the respective reproducibility statistic, even if 'true' changes happened, e.g. worsening of a disease due to its natural course. The Pearson correlation, still often advocated for continuous measures in test-retest reliability studies, however captures the degree of linearity (Y = bX + a): perfect relationship can be computed, even if the measurement pairs differ not only by a additive constant 'a', but also because of a multiplication of the X-values with the slope 'b'. Therefore, intraclass correlation coefficients (ICCs) have been proposed as alternative statistics for reproducibility. However, only ICCs with absolute agreement definition of concordance capture the degree of identity. ICCs with a consistency definition of concordance measure the degree of additivity (Y = X + a). ICCs are calculated from repeated measures analyses of variance (ANOVAs), and a common population variance must be is assumed for the different measurements. Given this assumption, an ICC computed from a one-way ANOVA seems to be the best choice for this purpose. Otherwise, Lin's concordance correlation coefficient is recommended as identity measure. 相似文献