Related Experiment Video
Updated: Nov 14, 2025
08:27
Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
Published on: September 27, 2019
7.1K
Dietary Diversity in Nepal: A Latent Class Approach
Gerald Shively1, Alecia Evans1
1311308Purdue University, West Lafayette, IN, USA.
Food and Nutrition Bulletin
|March 9, 2021
Summary
Dietary patterns in Nepal are diverse, with complexity linked to socioeconomic factors and geography. Policy interventions can improve nutrition by targeting these dietary behaviors.
Area of Science:
- Nutrition Science
- Agricultural Economics
- Public Health
Background:
- Nutritional status significantly impacts labor productivity, earnings, and national economic development.
- Dietary diversity is a key determinant of overall nutrition.
- Understanding food consumption patterns is crucial for public health initiatives.
Purpose of the Study:
- To analyze the relationship between food consumption patterns and dietary diversity in Nepal.
- To assess the potential of policy interventions in influencing diet complexity and quality.
- To identify factors associated with different dietary patterns.
Main Methods:
- Utilized data from 11,809 households in Nepal (2013-2016).
- Constructed household dietary diversity scores based on food purchases and own production.
- Employed latent class analysis to identify dietary patterns and ordered probit regressions to determine influencing factors.
Main Results:
- Identified four distinct dietary patterns (3 vegetarian, 1 non-vegetarian) along a complexity continuum.
- Diet complexity is associated with geographic location, socioeconomic status, and remittances.
- Poorer households and those receiving remittances showed varying diet complexity and quality; road density positively correlated with complexity.
- Observed a slight decline in diet quality over the study period.
Conclusions:
- Confirmed significant heterogeneity in dietary behaviors among Nepalese households.
- The identified dietary patterns offer a basis for targeted nutrition education and health improvement policies.
- Policy recommendations include supplemental feeding, home garden promotion, and targeted food assistance to enhance dietary diversity and nutritional quality.
More Related Videos
07:24Quantification of Macronutrients Intake in a Thermogenetic Neuronal Screen using Drosophila Larvae
Published on: June 11, 2020
3.9K
12:11Identification of Metabolically Active Bacteria in the Gut of the Generalist Spodoptera littoralis via DNA Stable Isotope Probing Using 13C-Glucose
Published on: November 13, 2013
15.7K
Related Concept Videos
01:16Stratified Sampling Method
14.1K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a stratified sample, divide the population into groups called strata and then take a...
To choose a stratified sample, divide the population into groups called strata and then take a...
14.1K
01:29Bias in Epidemiological Studies
960
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
960
00:55Convenience Sampling Method
10.5K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population.
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
10.5K
01:25Statistical Methods for Analyzing Epidemiological Data
708
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
708
01:26Distributions to Estimate Population Parameter
4.8K
The accurate values of population parameters such as population proportion, population mean, and population standard deviation (or variance) are usually unknown. These are fixed values that can only be estimated from the data collected from the samples. The estimates of each of these parameters are sample proportion, the sample mean, and sample standard deviation (or variance). To obtain the values of these sample statistics, data are required that have particular distribution and central...
4.8K
01:27Diversity of Protists II
600
Alveolates are a group of organisms recognized by the presence of alveoli, which are cytoplasmic sacs located beneath the cell membrane. While their function remains uncertain, alveoli may help regulate water balance by controlling how much water enters and leaves the cell. In dinoflagellates, these structures may serve as armor plates. There are three major types of alveolates: ciliates, which move using cilia; dinoflagellates, which use flagella for movement; and apicomplexans, which are...
600