Evidence map›Paper›PMID 34737482›Full record

ArticleLandscape and urban planning2021

Proximity to freshwater blue space and type 2 diabetes onset: the importance of historical and economic context.

Melissa N Poulsen, Brian S Schwartz, Joseph Dewalle, Cara Nordberg, Jonathan S Pollak, Jennifer Silva, Carla I Mercado, Deborah B Rolka, Karen Rae Siegel, Annemarie G Hirsch

Abstract read
In one paragraph

Article in Landscape and urban planning, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Melissa N PoulsenDepartment of Population Health Sciences, Geisinger, Danville, PA.
Brian S SchwartzDepartment of Population Health Sciences, Geisinger, Danville, PA.
Joseph DewalleDepartment of Population Health Sciences, Geisinger, Danville, PA.
Cara NordbergDepartment of Population Health Sciences, Geisinger, Danville, PA.
Jonathan S PollakDepartment of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Jennifer SilvaPaul H. O'Neill School of Public and Environmental Affairs, Indiana University, Bloomington, IN.
Carla I MercadoDivision of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA.
Deborah B RolkaDivision of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA.
Karen Rae SiegelDivision of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA.
Annemarie G HirschDepartment of Population Health Sciences, Geisinger, Danville, PA.

Funding

Component A: A multi-level study of community context and type 2 diabetes and coronary heart disease using electronic health record and new primary data across nested geographies in PennsylvaniaU01DP006296 · DP · GEISINGER CLINIC · PI HIRSCH, ANNEMARIE GREGORY · 2017 to 2021
$3.8M
ACL HHS U01DP006296NCCDPHP CDC HHS U01 DP006296
6 · The paper itself

Abstract

Salutogenic effects of living near aquatic areas (blue space) remain underexplored, particularly in non-coastal and non-urban areas. We evaluated associations of residential proximity to inland freshwater blue space with new onset type 2 diabetes (T2D) in central and northeast Pennsylvania, USA, using medical records to conduct a nested case-control study. T2D cases (n=15,888) were identified from diabetes diagnoses, medication orders, and laboratory test results and frequency-matched on age, sex, and encounter year to diabetes-free controls (n=79,435). We calculated distance from individual residences to the nearest lake, river, tributary, or large stream, and residence within the 100-year floodplain. Logistic regression models adjusted for community socioeconomic deprivation and other confounding variables and stratified by community type (townships [rural/suburban], boroughs [small towns], city census tracts). Compared to individuals living ≥1.25 miles from blue space, those within 0.25 miles had 8% and 17% higher odds of T2D onset in townships and boroughs, respectively. Among city residents, T2D odds were 38-39% higher for those living 0.25 to <0.75 miles from blue space. Residing within the floodplain was associated with 16% and 14% higher T2D odds in townships and boroughs. A post-hoc analysis demonstrated patterns of lower residential property values with nearer distance to the region's predominant waterbody, suggesting unmeasured confounding by socioeconomic disadvantage. This may explain our unexpected findings of higher T2D odds with closer proximity to blue space. Our findings highlight the importance of historic and economic context and interrelated factors such as flood risk and lack of waterfront development in blue space research.

Identifiers

PMID34737482
PMCPMC8563019

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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 Socratic graph.