Evidence mapPaperPMID 33299495Full record

ArticleBehavioural neurology2020

Relationship between Depression Symptoms and Different Types of Measures of Obesity (BMI, SAD) in US Women.

Yang Zhou, Guifang Yang, Wen Peng, Hongliang Zhang, Zhenyu Peng, Ning Ding, Tao Guo, Yuzhong Cai, Qijian Deng, Xiangping Chai

Open access · goldAbstract read
In one paragraph

Article in Behavioural neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.3field-weighted citation impact, top 29% of its field
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

9 citing papers in PubMed, 16 citations in OpenAlex.

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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 at 1 institution in 1 country.

Yang ZhouDepartment of Emergency Medicine, Second Xiangya Hospital, Central South University, Changsha, China.
Guifang YangDepartment of Emergency Medicine, Second Xiangya Hospital, Central South University, Changsha, China.
Wen PengDepartment of Emergency Medicine, Second Xiangya Hospital, Central South University, Changsha, China.
Hongliang ZhangDepartment of Emergency Medicine, Second Xiangya Hospital, Central South University, Changsha, China.
Zhenyu PengDepartment of Emergency Medicine, Second Xiangya Hospital, Central South University, Changsha, China.
Ning DingDepartment of Emergency Medicine, Second Xiangya Hospital, Central South University, Changsha, China.
Tao GuoDepartment of Emergency Medicine, Second Xiangya Hospital, Central South University, Changsha, China.
Yuzhong CaiDepartment of Emergency Medicine, Second Xiangya Hospital, Central South University, Changsha, China.
Qijian DengDepartment of Psychiatry, Second Xiangya Hospital, Central South University, Changsha, China.ORCID https://orcid.org/0000-0003-0856-9042
Xiangping ChaiDepartment of Emergency Medicine, Second Xiangya Hospital, Central South University, Changsha, China.ORCID https://orcid.org/0000-0002-3575-2646
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo estimate the relationship between obesity (defined by both BMI and SAD) and various levels of depressive symptoms in women in the United States.

methodsThis is a cross-sectional design. All data were collected from NHANES 2011-2012 and 2013-2014. The Patient Health Questionnaire (PHQ-9) was the primary variable used to index depressive symptoms. SAD was assessed using an abdominal caliper. We stratified participates into three groups according to SAD (trisection): T1: low (11.8-18.4 cm), T2: middle (18.5-22.8 cm), and T3: high (22.9-40.1 cm). Other data were collected following the NHANES protocols. We aimed to investigate the effects of obesity on the depression in the NHANES populations.

resultsA total of 4477 women were enrolled in the final study population. Participants with a high SAD had the highest risk of clinical depression symptoms (OR = 1.2, 95% CI: 1.1-1.4), which was, in particular, the case for moderate-severe depression (OR = 1.4, 95% CI: 1.1-1.7) and severe depression (OR = 1.4, 95% CI: 1.0-1.9). We also found a significant relationship between SAD and BMI (

conclusionsSAD had a better correlation with clinical depression symptoms than BMI, especially regarding severe depression symptoms.

Indexed as

DepressionObesityBody Mass IndexCross-Sectional StudiesFemaleHumansNutrition Surveys

Identifiers

PMID33299495
PMCPMC7705436
OpenAlexW3106793748

What Socratic holds

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Registered trials

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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 Socratic graph.