Evidence map›Paper›PMID 26814696›Full record

ArticleJournal of cross-cultural gerontology2016

Familism, Social Network Characteristics, and Well-being among Older Adults in Mexico.

Heather R Fuller-Iglesias, Toni C Antonucci

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Article in Journal of cross-cultural gerontology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  2. Time and the convoy model: social network turnover and mental health in older adulthood.The journals of gerontology. Series B, Psychological sciences and social sciences · 2026
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  3. Relationship quality moderates the association between neighborhood disadvantage and cognition among Mexican American older adults.The journals of gerontology. Series B, Psychological sciences and social sciences · 2026
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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

2 authors.

Heather R Fuller-IglesiasDepartment of Human Development and Family Science, North Dakota State University, Fargo, ND, USA. heather.fuller@ndsu.edu.
Toni C AntonucciDepartment of Psychology, University of Michigan, Ann Arbor, MI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Familism, is a cultural value considered to be central to Mexican culture. Older generations are thought to more strongly adhere to familistic values; however, little is known about the implications of familism in late-life. The goal of the current study was to examine links between familism, social network characteristics, and well-being among Mexican older adults. A sample of 556 older adults (50-99 years old) was drawn from the Study of Social Relations and Well-being in Mexico. Various aspects of social network characteristics and familism varied by age, gender, and education status. Familism was correlated with contact frequency and geographic proximity, but not proportion of family in network. Regression analyses indicated higher familism was associated with better psychological and physical well-being, yet familism interacted with proportion of family to predict both self-rated health and chronic conditions indicating that a discrepancy between familistic values and actual family support may be detrimental for older Mexicans' physical health. The discussion highlights the complex interrelationships and potential protective effects of familism. Future research should continue to examine the implications of familism and family relationships in the Mexican context; in particular, how generational shifts in familism influence intergenerational relations and well-being.

Indexed as

Health StatusSocial SupportAdolescentAdultAgedAged, 80 and overAgingFamilyFamily RelationsFemaleHumansIntergenerational RelationsMaleMexicoMiddle AgedSocial ValuesAgingFamilismMexicoSocial networks

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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.