Literature DB >> 28189807

Who does not reduce their sodium intake despite being advised to do so? A population segmentation analysis.

Yan Li1, Julia Berenson2, Andrew E Moran3, José A Pagán4.   

Abstract

Excessive sodium intake is linked to an increased risk for hypertension and cardiovascular disease. Although health care providers and other health professionals frequently provide counseling on healthful levels of sodium consumption, many people who consume sodium in excess of recommend levels still do not watch or reduce their sodium intake. In this study, we used a population segmentation approach to identify profiles of adults who are not watching or reducing their sodium intake despite been advised to do so. We analyzed sodium intake data in 125,764 respondents sampled in 15 states, the District of Columbia and Puerto Rico through the Behavioral Risk Factor Surveillance System to identify and segment adults into subgroups according to differences in sodium intake behaviors. We found that about 16% of adults did not watch or reduce their sodium intake despite been told to do so by a health professional. This proportion varied substantially across the 25 different population subgroups identified. For example, about 44% of adults 18 to 44years of age who live in West Virginia were not reducing their sodium intake whereas only about 7.2% of black adults 65years of age and older with diabetes were not reducing their sodium intake. Population segmentation identifies subpopulations most likely to benefit from targeted and intensive public health and clinical interventions. In the case of sodium consumption, population segmentation can guide public health practitioners and policymakers to design programs and interventions that change sodium intake in people who are resistant to behavior change.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Hypertension prevention; Medical advice; Population segmentation; Sodium consumption

Mesh:

Substances:

Year:  2017        PMID: 28189807     DOI: 10.1016/j.ypmed.2017.01.017

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.018


  2 in total

1.  Decoding Nonadherence to Hypertensive Medication in New York City: A Population Segmentation Approach.

Authors:  Yan Li; Foram Jasani; Dejun Su; Donglan Zhang; Lizheng Shi; Stella S Yi; José A Pagán
Journal:  J Prim Care Community Health       Date:  2019 Jan-Dec

2.  Population segments as a tool for health care performance reporting: an exploratory study in the Canadian province of British Columbia.

Authors:  Julia M Langton; Sabrina T Wong; Fred Burge; Alexandra Choi; Niloufar Ghaseminejad-Tafreshi; Sharon Johnston; Alan Katz; Ruth Lavergne; Dawn Mooney; Sandra Peterson; Kimberlyn McGrail
Journal:  BMC Fam Pract       Date:  2020-05-31       Impact factor: 2.497

  2 in total

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