Evidence map›Paper›PMID 30078091›Full record

ArticleEuropean journal of nutrition2019

Sex-dependent difference in the association between frequency of spicy food consumption and risk of hypertension in Chinese adults.

Tingchao He, Meichen Wang, Zixing Tian, Jian Zhang, Yan Liu, Yumei Zhang, Peiyu Wang, Yong Xue

Abstract read
PubMed Publisher
In one paragraph

Article in European journal of nutrition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Dietary intervention for the management of hypertension in Asia.Journal of clinical hypertension (Greenwich, Conn.) · 2021
    Review
  19. Article
  20. 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

8 authors.

Tingchao HeDepartment of Social Medicine and Health Education, School of Public Health, Peking University Health Science Center, No. 38 Xueyuan Road, Haidian District, Beijing, 100191, People's Republic of China.
Meichen WangDepartment of Nutrition and Food Hygiene, School of Public Health, Peking University Health Science Center, No. 38 Xueyuan Road, Haidian District, Beijing, 100191, People's Republic of China.
Zixing TianDepartment of Social Medicine and Health Education, School of Public Health, Peking University Health Science Center, No. 38 Xueyuan Road, Haidian District, Beijing, 100191, People's Republic of China.
Jian ZhangDepartment of Nutrition and Food Hygiene, School of Public Health, Peking University Health Science Center, No. 38 Xueyuan Road, Haidian District, Beijing, 100191, People's Republic of China.
Yan LiuDepartment of Nutrition and Food Hygiene, School of Public Health, Peking University Health Science Center, No. 38 Xueyuan Road, Haidian District, Beijing, 100191, People's Republic of China.
Yumei ZhangDepartment of Nutrition and Food Hygiene, School of Public Health, Peking University Health Science Center, No. 38 Xueyuan Road, Haidian District, Beijing, 100191, People's Republic of China.
Peiyu WangDepartment of Social Medicine and Health Education, School of Public Health, Peking University Health Science Center, No. 38 Xueyuan Road, Haidian District, Beijing, 100191, People's Republic of China. wpeiyu138@163.com.
Yong XueCollege of Food Science and Nutritional Engineering, China Agricultural University, No. 17 Tsinghua East Road, Haidian District, Beijing, 100083, People's Republic of China. xueyong@cau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of our study was to explore the association between frequency of spicy food consumption and risk of hypertension in Chinese adults.

methodsData were extracted from the 2009 wave of the China Health and Nutrition Survey, consisting of 9273 apparently healthy adults. Height, weight, and blood pressure (BP) were measured and diet was assessed with three consecutive 24-h recalls in combination with a weighed food inventory. Frequency of spicy food consumption and degree of pungency in spicy food consumption were self-reported. Hypertension was defined as systolic BP (SBP) ≥ 140 mmHg and/or diastolic BP (DBP) ≥ 90 mmHg, or having known hypertension. Multilevel mixed-effects models were constructed to estimate changes in SBP and DBP levels as well as risk of hypertension.

resultsHigher frequency of spicy food consumption was significantly associated with lower SBP and DBP levels and lower risk of hypertension in female participants after adjustment for potential confounders (all P trend < 0.05) and cluster effects at different levels (individual, community, and province). Compared with female participants who did not eat spicy food, the adjusted odds ratios of hypertension were 0.740 (95% CI 0.569, 0.963; P = 0.025) in female participants who consumed usually, and 0.760 (95% CI 0.624, 0.925; P = 0.006) in female participants who ate spicy food with moderate pungency. There was no significant association of spicy food consumption with hypertension in male participants.

conclusionsFrequency of spicy food consumption was inversely associated with risk of hypertension in female, but not male adults.

Indexed as

SpicesAdolescentAdultAgedAged, 80 and overChinaCross-Sectional StudiesDietFemaleFood PreferencesHealth SurveysHumansHypertensionLongitudinal StudiesMaleMiddle AgedCapsaicinHypertensionPopulation-based studySpicy foodThe China Health and Nutrition Survey

Identifiers

What OpenQuestion holds

Textmetadata
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.