Positive, Negative, and Ambivalent Interactions With Family and Friends: Associations With Well‐being

AuthorHyo Jung Lee,Maximiliane E. Szinovacz
Published date01 June 2016
DOIhttp://doi.org/10.1111/jomf.12302
Date01 June 2016
H J L  M E. S University of Massachusetts Boston
Positive, Negative, and Ambivalent Interactions
With Family and Friends: Associations
With Well-being
Although the relationship between social rela-
tionships and mental health is well established,
debate continues about the relative importance
of specic sources (spouses, children, relatives,
friends) as well as of positive and negative
interactions. The authors examined the asso-
ciations of positive, negative, and ambivalent
interactions with life satisfaction and depres-
sive symptoms for spouses, children, relatives,
and friends, using data from the 2008 Health
and Retirement Study (N=6,418). The nd-
ings generally showed positive associations
between positive interactions and mental health
and negative associations between negative
or ambivalent interactions and mental health.
These associations were most pronounced for
relationships with spouses and children. Gender
differences were found in life satisfaction but
not in depressive symptoms. These results imply
that future research on older adults needs to
consider both positive and negative relationship
features from diverse sources separately and in
combination to disentangle their relative effects
and their additive or compensatory potential.
Social relationships have been consistently
linked to mental health (Antonucci, Fiori,
Department of Gerontology, McCormack Graduate School
of Policy and Global Studies, University of Massachusetts,
100 Morrissey Blvd., Boston, MA 02125
(hyojung.lee001@umb.edu).
This article was edited by Linda Waite.
Key Words: aging, ambivalence, families in middle or later
life, mental health, social strains, social supports.
Birditt, & Jackey, 2010; Bertera, 2005; Rook,
1984, 1990, 1998); however, debate continues
on several contingencies of this relationship.
First, it remains unclear whether positive or
negative interactions are most important for
mental health. The relative effect of positive
and negative relationships on mental health may
depend on which indicators of mental health are
used (Ingersoll-Dayton, Morgan, & Antonucci,
1997) and on whether positive and negative
interactions are examined separately or included
simultaneously in analysis models (Stafford,
McMunn, Zaninotto, & Nazroo, 2011).
Second, some research suggests that relation-
ships characterized by both high positive and
negative interactions (ambivalence) are partic-
ularly likely to undermine mental health (Fin-
german, Pitzer, Lefkowitz, Birditt, & Mroczek,
2008). Although the ambivalence perspective
has been widely adopted, questions remain
about how to best conceptualize and measure
the combined effects of positive and negative
relationship features (Lendon, Silverstein, &
Giarrusso, 2014; Lettke & Klein, 2004).
Third, the strength of associations between
social interactions and mental health depends
on the source. Relationships with very close
network members (e.g., a spouse) tend to have
stronger associations with mental health than
interactions with more peripheral network
members (Chen & Feeley, 2014; Stafford et al.,
2011). Furthermore, the relative effects of
positive and negative interactions or of ambiva-
lence may be source specic. For example,
negative interactions with a spouse may be
more important for mental health than positive
660 Journal of Marriage and Family 78 (June 2016): 660–679
DOI:10.1111/jomf.12302
Social Interactions and Well-being 661
interactions with a spouse, whereas the opposite
may hold for interactions with friends.
To address these issues, we examined the
associations between positive and negativeinter-
actions as well as ambivalence on two indica-
tors of mental health, namely, life satisfaction
and depressive symptoms. This examination was
guided by three research questions:
1. Which aspects of social relations (positive
interactions, negative interactions, ambiva-
lence) are most strongly related to mental
health?
2. Does the relative strength of these associa-
tions depend on which indicator of mental
health is used (life satisfaction vs. depressive
symptoms) and on whether or not positive
and negative interactions are included sepa-
rately or simultaneously in analyses models?
3. Which relationship sources (spouse, children,
other relatives, friends) are most important
for mental health, and do the associations
between positive and negative interactions
or ambivalence and mental health vary by
source?
Because gender has been linked both to the
prevalence of positiveand negative relationships
as well as to their association with mental health,
we further assessed gender differences across
all three research questions. Our analyses relied
on the 2008 wave of the Health and Retirement
Study (HRS), a representative survey of individ-
uals age over 50 years and their spouses (see
http://hrsonline.isr.umich.edu/).
T B  L
R
Our hypotheses were informed by four different
perspectives: (a) research focusing on the rela-
tionship between social interactions and mental
health, (b) the interplay between positive and
negative interactions (ambivalence), (c) hier-
archies of social relationships in individuals’
social networks, and (d) gender roles.
Positive and Negative Social Ties and Mental
Health
Much of the literature on the effects of social
relationships on mental health has emphasized
the supportive functions of social interactions.
For example, the original intergenerational
solidarity model focused exclusively on positive
relationship features such as association, affec-
tion, or consensus (Bengtson & Roberts, 1991).
In general, research supports the assumption
that positive interactions contribute to mental
health. Similarly, past studies provide relatively
consistent evidence that negative social inter-
actions such as conict, irritation, or criticism
undermine mental health (Newsom, Nishishiba,
& Morgan, 2003; Newsom, Rook, Nishishiba,
Sorkin, & Mahan, 2005; Rook, 2001). It is
less clear, however, whether positive and neg-
ative interactions are equally important for
mental health, whether they have independent
or interrelated effects on mental health, and
whether they have similar or divergent inu-
ences on distinct dimensions of mental health
(Ingersoll-Dayton et al., 1997; Newsom et al.,
2003, 2005; Rook, 1990, 1998).
To capture the potentially differential associ-
ations between positive and negative exchanges
and selected dimensions of mental health,
Ingersoll and colleagues (1997) distinguished
among four models. The positivity effects model
suggests that solely positive exchanges affect
both positive and negative indicators of mental
health, whereas negative exchanges have no
effect. In contrast, the negativity effects model
posits that only negative exchanges inuence
mental health, regardless of domain (positive
vs. negative indicators of mental health). The
third model (the domain specic effects model)
proposes that the effects of social exchanges
are domain specic; that is, positive exchanges
inuence only positive indicators of mental
health but not negative ones, whereas negative
exchanges are solely associated with negative
indicators of mental health. The fourth, com-
bined model proposes both domain-specic
and crossover effects, so that both positive and
negative exchanges are related to both positive
and negative indicators of mental health.
The few studies that have simultaneously
included measures of positive and negative
exchanges (investigations addressing positive
and negative exchanges with specic sources
are discussed below) provide a mixed pic-
ture. Some indicate domain-specic effects for
positive exchanges but both domain-specic
and crossover effects for negative exchanges
(Ingersoll-Dayton et al., 1997; Newsom et al.,
2005); others support crossover effects for
both negative and positive exchanges (Uchino,
Holt-Lunstad, Smith, & Bloor, 2004); and yet
others suggest that support for specic models

To continue reading

Request your trial

VLEX uses login cookies to provide you with a better browsing experience. If you click on 'Accept' or continue browsing this site we consider that you accept our cookie policy. ACCEPT