Evidence map›Paper›PMID 32013898›Full record

ArticleBMC public health2020

Exploring health and well-being in Taiwan: what we can learn from individuals' narratives.

Patricia Rodriguez Espinosa, Yong-Chen Chen, Chien-An Sun, San-Lin You, Jaw-Town Lin, Kun-Hu Chen, Ann W Hsing, Catherine A Heaney

Abstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Patricia Rodriguez EspinosaStanford Prevention Research Center, Stanford University School of Medicine, 3300 Hillview Ave (Mail code: 5537), Palo Alto, CA, 94304, USA. prespinosa@stanford.edu.ORCID http://orcid.org/0000-0002-7578-305X
Yong-Chen ChenSchool of Medicine, College of Medicine, Fu-Jen Catholic University, No. 510, Zhongzheng Rd., Xinzhuang District, New Taipei City, Taiwan.
Chien-An SunBig Data Research Center, College of Medicine, Fu-Jen Catholic University, No. 510, Zhongzheng Rd., Xinzhuang District, New Taipei City, Taiwan.
San-Lin YouSchool of Medicine, College of Medicine, Fu-Jen Catholic University, No. 510, Zhongzheng Rd., Xinzhuang District, New Taipei City, Taiwan.
Jaw-Town LinSchool of Medicine, College of Medicine, Fu-Jen Catholic University, No. 510, Zhongzheng Rd., Xinzhuang District, New Taipei City, Taiwan.
Kun-Hu ChenDepartment of Clinical Psychology, Fu-Jen Catholic University, No. 510, Zhongzheng Rd., Xinzhuang District, New Taipei City, Taiwan.
Ann W HsingStanford Prevention Research Center, Stanford University School of Medicine, 3300 Hillview Ave (Mail code: 5537), Palo Alto, CA, 94304, USA.
Catherine A HeaneyStanford Prevention Research Center, Stanford University School of Medicine, 3300 Hillview Ave (Mail code: 5537), Palo Alto, CA, 94304, USA.

Funding

CARDIOVASCULAR DISEASE PREVENTION TRAINING PROGRAMT32HL007034 · NHLBI · STANFORD UNIVERSITY · PI GARDNER, CHRISTOPHER D · 1985 to 2020
$8.7M
NHLBI NIH HHS NIH 5 T32 HL007034-43NHLBI NIH HHS T32 HL007034
6 · The paper itself

Abstract

backgroundOur aim was to explore the concepts of health and well-being from the point of view of the people experiencing them. Most of the efforts to understand these concepts have focused on disease prevention and treatment. Less is known about how individuals achieve health and well-being, and their roles in the pursuit of a good life. We hoped to identify important components of these concepts that may provide new targets and messages to strengthen existing public health programs. An improved understanding of health and well-being - or what it means to be well - can guide interventions that help people lead healthier, more fulfilling lives.

methodsUsing a grounded qualitative approach drawing from narrative inquiry, we interviewed 24 Taiwanese adults. Thematic inductive coding was employed to explore the nature of health and well-being.

resultsEight constituent domains emerged regarding well-being and health. While the same domains were found for both constructs, important frequency differences were found when participants discussed health versus well-being. Physical health and lifestyle behaviors emerged as key domains for health. Disease-related comments were the most frequently mentioned sub-category within the physical health domain, along with health care use and aging-related changes. For well-being, family and finances emerged as key domains. Family appears to be a cornerstone element of well-being in this sample, with participants often describing their personal well-being as closely tied to - and often indistinguishable from - their family. Other domains included work-life, sense of self, resilience, and religion/spirituality.

conclusionsHealth and well-being are complex and multifaceted constructs, with participants discussing their constituent domains in a very interconnected manner. Programs and policies intended to promote health and well-being may benefit from considering these domains as culturally-appropriate leverage points to bring about change. Additionally, while the domains identified in this study are person-centered (i.e., reflecting the personal experiences of participants), the stories that participants offered provided insights into how well-being and health are influenced by structural, societal and cultural factors. Our findings also offer an opportunity for future refinement and rethinking of existing measurement tools surrounding these constructs.

Indexed as

Health StatusMental HealthAdultAgedFemaleHumansMaleMiddle AgedNarrationTaiwan(3–10 for indexing purposes): Well-beingFamilyHealthHealth behaviorsQualitative inquiryTaiwan

Identifiers

PMID32013898
PMCPMC6998329

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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.