Evidence map›Paper›PMID 33962567›Full record

ArticleEnvironmental health and preventive medicine2021

Association between socioeconomic status and prolonged television viewing time in a general Japanese population: NIPPON DATA2010.

Yuka Sumimoto, Masahiko Yanagita, Naomi Miyamatsu, Nagako Okuda, Nobuo Nishi, Yosikazu Nakamura, Koshi Nakamura, Naoko Miyagawa, Motohiko Miyachi, Aya Kadota and 6 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Environmental health and preventive medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  4. Article
  5. Review
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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

16 authors at 9 institutions in 1 country.

Yuka SumimotoDepartment of Health and Sports Science, Doshisha University, 1-3 Tatara Miyakodani, Kyotanabe, Kyoto, 610-0394, Japan.
Masahiko YanagitaDepartment of Health and Sports Science, Doshisha University, 1-3 Tatara Miyakodani, Kyotanabe, Kyoto, 610-0394, Japan. myanagit@mail.doshisha.ac.jp.
Naomi MiyamatsuDepartment of Clinical Nursing, Shiga University of Medical Science, Tsukinowa-cho, Seta, Otsu, Shiga, 520-2192, Japan.
Nagako OkudaDepartment of Health and Nutrition, University of Human Arts and Sciences, 1288 Umagome, Iwatsuki-ku, Saitama, 339-8539, Japan.
Nobuo NishiInternational Center for Nutrition and Information, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, 1-23-1 Toyama, Shinjuku, Tokyo, 162-8636, Japan.
Yosikazu NakamuraDepartment of Public Health, Jichi Medical University, 3311-1 Yakushiji, Shimotsuke, Tochigi, 329-0498, Japan.
Koshi NakamuraDepartment of Public Health and Hygiene, University of the Ryukyus, 207 Uehara, Nishihara, Okinawa, 903-0215, Japan.
Naoko MiyagawaDepartment of Preventive Medicine and Public Health, Keio University, 35 Shinanomachi, Shinjuku, Tokyo, 160-0016, Japan.
Motohiko MiyachiDepartment of Physical Activity Research, National Institute of Health and Nutrition , National Institutes of Biomedical Innovation, Health and Nutrition, 1-23-1 Toyama, Shinjuku, Tokyo, 162-8636, Japan.
Aya KadotaDepartment of Public Health, Shiga University of Medical Science, Tsukinowa-cho, Seta, Otsu, Shiga, 520-2192, Japan.
Takayoshi OhkuboDepartment of Hygiene and Public Health, Teikyo University, 2-11-1 Kaga Itabashi, Tokyo, 173-0003, Japan.
Tomonori OkamuraDepartment of Preventive Medicine and Public Health, Keio University, 35 Shinanomachi, Shinjuku, Tokyo, 160-0016, Japan.
Hirotsugu UeshimaDepartment of Public Health, Shiga University of Medical Science, Tsukinowa-cho, Seta, Otsu, Shiga, 520-2192, Japan.
Akira OkayamaResearch Institute of Strategy for Prevention, Shinkawa 1-3-9 Chuohku, Tokyo, 104-0033, Japan.
Katsuyuki MiuraDepartment of Public Health, Shiga University of Medical Science, Tsukinowa-cho, Seta, Otsu, Shiga, 520-2192, Japan.
for NIPPON DATA2010 Research Group
Shiga University of Medical Science · JPKeio University Hospital · JPDoshisha University · JPJichi Medical University · JPNational Institute of Biomedical Innovation, Health and Nutrition · JPNational Institute of Infectious Diseases · JPTeikyo University · JPUniversity of Human Arts and Sciences · JPUniversity of the Ryukyus · JP

Funding

Ministry of Health, Labour and Welfare H22-Junkankitou-Seishuu-Sitei-017Ministry of Health, Labour and Welfare H25-Junkankitou-Seishuu-Sitei-022Ministry of Health, Labour and Welfare H30-Junkankitou-Seishuu-Sitei-002
6 · The paper itself

Abstract

backgroundIt has been pointed out that prolonged television (TV) viewing is one of the sedentary behaviors that is harmful to health; however, the association between socioeconomic status (SES) and prolonged TV viewing time has not been sufficiently investigated in Japan.

methodsThe study population are the participants of NIPPON DATA2010, which is a prospective cohort study of the National Health and Nutrition Survey 2010 in Japan. They were residents in 300 randomly selected areas across Japan. This study included 2752 adults. SES was classified according to the employment status, educational attainment, living status, and equivalent household expenditure (EHE). Prolonged TV viewing time was defined as more than or equal to 4 h of TV viewing per day. Multivariable logistic regression analyses were conducted to examine the association of SES with prolonged TV viewing time.

resultsThe mean TV viewing time was 2.92 h in all participants. Of 2752 participants, 809 (29.4%) prolonged TV viewing, and the mean TV viewing time of them was 5.61 h. The mean TV viewing time in participants without prolonged TV viewing time was 1.81 h. The mean TV viewing time was prolonged as age classes increased and significantly longer in aged ≥60 years. Prolonged TV viewing time was associated with not working for all age classes and sexes. Only among women, education attainment and living status were also associated with prolonged TV viewing time. For education attainment, the lower the received years of education, the higher odds ratios (OR) of prolonged TV viewing time. For living status, in women aged <60 years, living with others had a significantly higher OR compared to living with spouse. On the other hand, in women aged ≥60 years, living alone had a significantly higher OR. EHE did not have any significant associations with prolonged TV viewing time.

conclusionsIn a general Japanese population, it should be noted that the association between SES and prolonged TV viewing time differed by age and sex. Particularly, it must draw attention to the prolonged TV viewing in elderly. The intervention in order to shorten TV viewing time needs to consider these attributes.

Indexed as

Sedentary BehaviorSocial ClassAdolescentAdultAgedAged, 80 and overChildChild, PreschoolEducational StatusFemaleHumansInfantJapanMaleMiddle AgedProspective StudiesJapanNIPPON DATA2010Socioeconomic factorViewing television time

Identifiers

PMID33962567
PMCPMC8105981
OpenAlexW3157295330

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.