Assessing the double burden of malnutrition among Bangladeshi reproductive-aged women: A comparison between unconditional and conditional quantile regression.

ABSTRACT:

Background and aims

The coexistence of undernutrition and overnutrition creates a double burden of malnutrition (DBM) among women in Bangladesh. This study aimed to assess heterogeneous effects of sociodemographic factors on women's nutritional status using quantile regression (QR) models and to investigate the differences between the results of unconditional QR (UQR) and conditional QR (CQR) models.

Methods

A sample of 17 285 nonpregnant women aged 15 to 49 years was extracted from the latest Bangladesh Demographic and Health Survey, 2017-2018. Women's nutritional status was determined using body mass index (BMI). The UQR and CQR were used to estimate the heterogeneous effects of sociodemographic factors on women's BMI.

Results

Results show that the estimated effects

SUBMITTER: Khan JR 

PROVIDER: S-EPMC8485620 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature