Evidence map›Paper›PMID 25700925›Full record

ArticleJournal of epidemiology and global health2015

Does emotion and its daily fluctuation correlate with depression? A cross-cultural analysis among six developing countries.

Derwin K C Chan, Xin Zhang, Helene H Fung, Martin S Hagger

Abstract read
In one paragraph

Article in Journal of epidemiology and global health, 2015. 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
–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

6 citing papers in PubMed.

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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

4 authors.

Derwin K C ChanSchool of Psychology and Speech Pathology, Curtin University, Perth, Australia.
Xin ZhangDepartment of Psychology, Peking University, Beijing, China. Electronic address: zhang.x@pku.edu.cn.
Helene H FungDepartment of Psychology, Chinese University of Hong Kong, Hong Kong, China.
Martin S HaggerSchool of Psychology and Speech Pathology, Curtin University, Perth, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Utilizing a World Health Organization (WHO) multi-national dataset, the present study examined the relationships between emotion, affective variability (i.e., the fluctuation of emotional status), and depression across six developing countries, including China (N=15,050); Ghana (N=5,573); India (N=12,198); Mexico (N=5,448); South Africa (N=4,227); and Russia (N=4,947). Using moderated logistic regression and hierarchical multiple regression, the effects of emotion, affective variability, culture, and their interactions on depression and depressive symptoms were examined when statistically controlling for a number of external factors (i.e., age, gender, marital status, education level, income, smoking, alcohol drinking, physical activity, sedentary behavior, and diet). The results revealed that negative emotion was a statistically significant predictor of depressive symptoms, but the strength of association was smaller in countries with a lower incidence of depression (i.e., China and Ghana). The association between negative affective variability and the risk of depression was higher in India and lower in Ghana. Findings suggested that culture not only was associated with the incidence of depression, but it could also moderate the effects of emotion and affective variability on depression or the experience of depressive symptoms.

Indexed as

Cross-Cultural ComparisonDeveloping CountriesEmotionsChinaDepressive DisorderFemaleGhanaHumansIndiaMaleMexicoMiddle AgedRussiaSouth AfricaAffective variabilityClinical depressionCultural differencesEmotional statusGlobal health

Identifiers

PMID25700925
PMCPMC7320345

What OpenQuestion holds

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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.