Evidence map›Paper›PMID 36307801›Full record

Observational studyBMC public health2022

Similarities in cardiometabolic risk factors among random male-female pairs: a large observational study in Japan.

Naoki Nakaya, Kumi Nakaya, Naho Tsuchiya, Toshimasa Sone, Mana Kogure, Rieko Hatanaka, Ikumi Kanno, Hirohito Metoki, Taku Obara, Mami Ishikuro and 2 more

Abstract readObservational Study
In one paragraph

Observational study in BMC public health, 2022. 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

12 authors.

Naoki NakayaTohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, 980-8573, Sendai City, Japan. naoki.nakaya.c2@tohoku.ac.jp.
Kumi NakayaTohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, 980-8573, Sendai City, Japan.
Naho TsuchiyaTohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, 980-8573, Sendai City, Japan.
Toshimasa SoneDepartment of Occupational Therapy, School of Health Sciences, Fukushima Medical University, 1 Hikariga-oka, 960-1295, Fukushima City, Japan.
Mana KogureTohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, 980-8573, Sendai City, Japan.
Rieko HatanakaTohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, 980-8573, Sendai City, Japan.
Ikumi KannoTohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, 980-8573, Sendai City, Japan.
Hirohito MetokiTohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, 980-8573, Sendai City, Japan.
Taku ObaraTohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, 980-8573, Sendai City, Japan.
Mami IshikuroTohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, 980-8573, Sendai City, Japan.
Atsushi HozawaTohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, 980-8573, Sendai City, Japan.
Shinichi KuriyamaTohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, 980-8573, Sendai City, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious observational studies have shown similarities in cardiometabolic risk factors between spouses. It is still possible that this result reflects the age similarity of spouses rather than environmental factors of spouses (e.g. cohabitation effect). To clarify the importance of mate cardiometabolic risk factors for similarity of environmental factors, it is necessary to examine whether they are observed in random male-female pairs while maintaining the age of the spousal pairs. This study aimed to determine whether the similarities found between spousal pairs for cardiometabolic risks were also observed between random male-female pairs.

methodsThis cross-sectional study included 5,391 spouse pairs from Japan; data were obtained from a large biobank study. For pairings, women of the same age were randomly shuffled to create new male-female pairs of the same age as that of the original spouse pairs. Similarities in cardiometabolic risk factors between the random male-female pairs were analysed using Pearson's correlation or age-adjusted logistic regression analyses.

resultsThe mean ages of the men and women were 63.2 and 60.4 years, respectively. Almost all cardiometabolic risk factors similarities were not noted in cardiometabolic risk factors, including the continuous risk factors (anthropometric traits, blood pressure, glycated haemoglobin level, and lipid traits); lifestyle habits (smoking, drinking, and physical activity); or diseases (hypertension, type 2 diabetes mellitus, and metabolic syndrome) between the random male-female pairs. The age-adjusted correlation coefficients ranged from - 0.007 for body mass index to 0.071 for total cholesterol. The age-adjusted odds ratio (95% confidence interval) for current drinkers was 0.94 (0.81 - 1.09); hypertension, 1.07 (0.93 - 1.23); and type 2 diabetes mellitus, 1.08 (0.77 - 1.50).

conclusionIn this study, few similarities in cardiometabolic risk factors were noted among the random male-female pairs. As spouse pairs may share environmental factors, intervention strategies targeting lifestyle habits and preventing lifestyle-related diseases may be effective.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2HypertensionBody Mass IndexCardiometabolic Risk FactorsCross-Sectional StudiesFemaleHumansJapanMaleRisk FactorsAnthropometric traitsCardiometabolic risk factorsDiseasesLifestyle habitsRandom male-female pairs

Identifiers

PMID36307801
PMCPMC9617423

What OpenQuestion holds

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LicenceCC BY
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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.