Evidence map›Paper›PMID 39305095›Full record

ArticleInquiry : a journal of medical care organization, provision and financing

Identifying High-Priority Populations for Dietary Salt Reduction Using the TARPARE Model: A Cross-Sectional Study.

Takafumi Abe, Jun Kitayuguchi, Tsuyoshi Hamano, Masayuki Yamasaki, Shozo Yano, Minoru Isomura

Abstract read
In one paragraph

Article in Inquiry : a journal of medical care organization, provision and financing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Takafumi AbeCenter for Community-Based Healthcare Research and Education (CoHRE), Head Office for Research and Academic Information, Shimane University, Izumo City, Shimane, Japan.ORCID 0000-0001-8657-4707
Jun KitayuguchiCenter for Community-Based Healthcare Research and Education (CoHRE), Head Office for Research and Academic Information, Shimane University, Izumo City, Shimane, Japan.
Tsuyoshi HamanoCenter for Community-Based Healthcare Research and Education (CoHRE), Head Office for Research and Academic Information, Shimane University, Izumo City, Shimane, Japan.
Masayuki YamasakiCenter for Community-Based Healthcare Research and Education (CoHRE), Head Office for Research and Academic Information, Shimane University, Izumo City, Shimane, Japan.
Shozo YanoCenter for Community-Based Healthcare Research and Education (CoHRE), Head Office for Research and Academic Information, Shimane University, Izumo City, Shimane, Japan.
Minoru IsomuraCenter for Community-Based Healthcare Research and Education (CoHRE), Head Office for Research and Academic Information, Shimane University, Izumo City, Shimane, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The application of social marketing to public health activities has recently garnered attention. This study aimed to identify high-priority segments for salt reduction interventions using the TARPARE model in a rural Japanese city. This cross-sectional study used convenient sampling. Scored indicators of the TARPARE model were used, and data was collected from 1874 adults to establish the priority order of target segments for promoting salt reduction. The model considers the total number of individuals (T), at-risk persons (AR), persuasibility (P), accessibility (A), resources required (R), and equity (E). For T, the salt content was evaluated using spot urine, and the salt check sheet was scored for each segment according to sex and age in the city's population. AR was the individuals who were overweight. P was determined by the behavior modification stage of salt reduction, unknown recommended salt reduction goals, and lack of knowledge in at least one aspect of salt reduction. A and R were characterized by communication with family or friends and family support, respectively. E was considered an education up to high school. The average aggregated score was 19.9 (standard deviation = 14.0), with higher scores in segments that consistently subjectively restrict salt intake but have a high objective salt intake. The highest priority was given to women in their 60s (49.3 points) and 70s (54.4 points). This study identified high-priority populations for salt reduction in a rural city in Japan. Our priority segments offer guidance for efficient and targeted interventions for salt reduction initiatives.

Indexed as

Sodium Chloride, DietaryAdultAgedCross-Sectional StudiesFemaleHealth Knowledge, Attitudes, PracticeHealth PromotionHumansJapanMaleMiddle AgedRural PopulationSocial MarketingSodium Chloride, Dietaryeducational statusfoodhealth behaviorhypertensionsocial marketing

Identifiers

PMID39305095
PMCPMC11418442

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.