Evidence map›Paper›PMID 29885114›Full record

ArticleDiabetes & metabolism journal2018

Air Pollution Has a Significant Negative Impact on Intentional Efforts to Lose Weight: A Global Scale Analysis.

Morena Ustulin, So Young Park, Sang Ouk Chin, Suk Chon, Jeong Taek Woo, Sang Youl Rhee

Abstract read
In one paragraph

Article in Diabetes & metabolism journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. 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

6 authors.

Morena UstulinDepartment of Medicine, Graduate School of Medicine, Kyung Hee University, Seoul, Korea.
So Young ParkDepartment of Endocrinology and Metabolism, Kyung Hee University School of Medicine, Seoul, Korea.
Sang Ouk ChinDepartment of Endocrinology and Metabolism, Kyung Hee University School of Medicine, Seoul, Korea.
Suk ChonDepartment of Endocrinology and Metabolism, Kyung Hee University School of Medicine, Seoul, Korea.
Jeong Taek WooDepartment of Endocrinology and Metabolism, Kyung Hee University School of Medicine, Seoul, Korea.
Sang Youl RheeDepartment of Endocrinology and Metabolism, Kyung Hee University School of Medicine, Seoul, Korea. rheesy@khu.ac.kr.ORCID https://orcid.org/0000-0003-0119-5818

Funding

Ministry of Health and Welfare HI16C2048
6 · The paper itself

Abstract

backgroundAir pollution causes many diseases and deaths. It is important to see how air pollution affects obesity, which is common worldwide. Therefore, we analyzed data from a smartphone application for intentional weight loss, and then we validated them.

methodsOur analysis was structured in two parts. We analyzed data from a cohort registered to a smartphone application in 10 large cities of the world and matched it with the annual pollution values. We validated these results using daily pollution data in United States and matching them with user information. Body mass index (BMI) variation between final and initial login time was considered as outcome in the first part, and daily BMI in the validation. We analyzed: daily calories intake, daily weight, daily physical activity, geographical coordinates, seasons, age, gender. Weather Underground application programming interface provided daily climatic values. Annual and daily values of particulate matter PM10 and PM2.5 were extracted. In the first part of the analysis, we used 2,608 users and then 995 users located in United States.

resultsAir pollution was highest in Seoul and lowest in Detroit. Users decreased BMI by 2.14 kg/m² in average (95% confidence interval, -2.26 to -2.04). From a multilevel model, PM10 (β=0.04,

conclusionThis is the first study that shows how air pollution affects intentional weight loss applied on wider area of the world.

Indexed as

Air pollutionMobile applicationsObesitySmartphoneWeight loss

Identifiers

PMID29885114
PMCPMC6107362

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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.