Evidence map›Paper›PMID 33051586›Full record

ArticleScientific reports2020

Roles of drinking and diet in the U-shaped relationship between smoking and BMI in middle-aged and elderly Chinese rural adults.

Da Pan, Shaokang Wang, Ming Su, Jie Wei, Kai Wang, Pengfei Luo, James D Smith, Gege Ma, Guiju Sun

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Vitamin BEuropean journal of nutrition · 2021
    Article
  11. 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

9 authors.

Da PanKey Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing, 210009, People's Republic of China.
Shaokang WangKey Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing, 210009, People's Republic of China.
Ming SuHuai'an District Center for Disease Control and Prevention, Huai'an, People's Republic of China.
Jie WeiKey Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing, 210009, People's Republic of China.
Kai WangHuai'an District Center for Disease Control and Prevention, Huai'an, People's Republic of China.
Pengfei LuoJiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, People's Republic of China.
James D SmithUniversity of Leeds, Leeds, LS2 9JT, UK.
Gege MaKey Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing, 210009, People's Republic of China.
Guiju SunKey Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing, 210009, People's Republic of China. gjsun@seu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study aimed to investigate the relationship between smoking and BMI, from the perspective of the roles of alcohol drinking and dietary factors in a rural population. We analysed cross-sectional data from 10,837 middle-aged and elderly Chinese rural adults who completed a questionnaire that included questions on demographic characteristics, dietary intake, and detailed smoking and drinking status. Results showed that current smokers had lower BMI and consumed foods less frequently (except coriander, onion, garlic, hawthorn and fermented bean curd) than non-smokers. The relationship between smoking amount and the risk of overweight or obesity was U-shaped, and the trends were also similar by stratum of baseline age groups (all p for interaction < 0.001). Heavy smokers tended to have drinking habits, which was associated with increased BMI (all p for trend < 0.001). Additionally, despite the lower risk of overweight or obesity for current smokers, normal weight individuals were found to have the minimum smoking amount. In conclusion, smoking may cause suppression of appetite but smokers tend to have other unhealthy habits relating to increased BMI. Dietary factors and alcohol use play important roles in the U-shaped relationship between smoking behaviours and BMI in the middle-aged and elderly Chinese rural population.

Indexed as

Body Mass IndexAgedAged, 80 and overAge FactorsAlcohol DrinkingChinaCross-Sectional StudiesDietDiet SurveysFemaleHumansMaleMiddle AgedObesityRural PopulationSmoking

Identifiers

PMID33051586
PMCPMC7555487

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.