Cited by 22Impact of Technology on AdolescentsHealth disparities and outcomesTryptophan and brain disorders

Social media use and systemic inflammation: The moderating role of self-esteem

Open access
Lee, David S., Way, Baldwin M.·2021·Brain, Behavior, & Immunity - Health

Abstract

Social media use has become an important part of social life. However, little is known about its relation to physical health. Extending prior work on social media use and psychological well-being, the present research investigated how social media use is associated with a key indicator of health, systemic inflammation. Based on research on self-esteem and work on inflammation, the current study examined whether the link between social media use and inflammatory biomarkers would be moderated by self-esteem. A nationally probablistic sample of middle-aged adults (N ​= ​863) completed self-report questionnaires on social media use, self-esteem, socio-demographic information, and health related behaviors. Approximately two years later, they provided a blood sample that was analyzed for C-reactive protein (CRP) and interleukin-6 (IL-6), biomarkers of systemic inflammation. Consistent with our hypothesis, self-esteem moderated the association between social media use and these markers of inflammation. Specifically, as self-esteem decreased, the positive association of social media use with CRP and IL-6 became stronger. These results held after controlling for socio-demographic information, health status, depressive symptoms, and medication usage. Social media use was not significantly correlated with either CRP or IL-6. The present research demonstrates physical health correlates of social media use and suggests self-esteem as a key variable that can moderate the relation between social media use and health.

AI snapshot

Written from the paper’s full text.

TL;DR

In a nationally probabilistic sample of 863 middle-aged adults from MIDUS-R, self-esteem moderated the association between social media use and systemic inflammation: as self-esteem decreased, the positive association of social media use with CRP and IL-6 became stronger. Social media use itself was not a significant predictor of CRP or IL-6 in the regression models.

Key findings

  • Self-esteem moderated the social media use–CRP association across Models 0–4: interaction coefficients were b = −0.003, p = .011 (Model 0); b = −0.003, p = .012 (Model 1); b = −0.002, p = .048 (Model 2); b = −0.002, p = .047 (Model 3); and b = −0.003, p = .031 (Model 4). As self-esteem decreased, the positive association between social media use and CRP became stronger.
  • For low self-esteem participants (1 SD below mean), social media use was associated with higher CRP; in Model 4, b = 0.03, p = .053, 95% CI [0.000, 0.05], and a unit increase in social media use was associated with a 0.13 μg/ml increase in unlogged CRP. This pattern was not observed among high self-esteem participants (ps = .27, .40, .35, .36, .31).
  • The social media use × self-esteem interaction significantly predicted IL-6 in four of five models: Model 1 b = −0.002, p = .029; Model 2 p = .048; Model 3 p = .045; Model 4 p = .037; Model 0 p = .12. For low self-esteem participants in Model 4, b = 0.02, p = .049, 95% CI [0.000, 0.04], and a unit increase in social media use was associated with a 0.09 pg/ml increase in unlogged IL-6.
  • Social media use was not significantly associated with CRP or IL-6 across regression models. Self-esteem was negatively associated with CRP in all five models and with IL-6 in one of five models.

Methods

  • Data came from the MIDUS Refresher study and MIDUS Refresher Biomarker Project. The analytic sample was 863 adults (age range 26–78 years, M = 52.72, SD = 13.44; 450 females; 70.2% White) who completed survey measures and later provided blood samples about two years afterward (M = 22.16 months, SD = 8.87 months).
  • Social media use was a composite of two items asking how often participants used social media to contact family members and friends in the past year (8-point scale, reverse-coded and averaged; α = 0.80, M = 4.56, SD = 2.30). Self-esteem was measured with seven Rosenberg self-esteem items (α = 0.78, M = 37.08, SD = 7.50). CRP and IL-6 were assayed from blood and log-transformed.
  • Multiple regression models predicted CRP and IL-6 from standardized social media use, self-esteem, and their interaction. Models 0–4 sequentially controlled for socio-demographic factors, physical health status, depressive symptoms and antidepressant use, and anti-inflammatory medication use; simple slopes were tested for low and high self-esteem (±1 SD).

Limitations

  • The paper states that the correlational design limits causal inference; effect sizes were small and comparable to those in social media–well-being research (r = −0.05 to −0.15), raising questions about clinical or practical significance; family-wise error rate was not controlled; social media use measured only contacting family and friends, not the full range of social media activities; the MIDUS biomarker sample is not nationally representative; and there was a time lag (M = 22.16 months, SD = 8.87 months) between the blood draw and survey that could have attenuated effects.
  • The paper also notes that results should be interpreted cautiously and replicated, and that future work should examine other populations, such as adolescents.
  • Evident from the text: social media use and self-esteem were self-reported, and the sample was middle-aged and 70.2% White, further constraining generalization.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1016/j.bbih.2021.100300

Cites

76 of 76 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Claims the paper makes

0 of 66 cited sources checked · 0 supported · 0 flagged

  • Findingown data

    As self-esteem decreased, the positive association of social media use with CRP became stronger.

    “Specifically, as self-esteem decreased, the positive association of social media use with CRP and IL-6 became stronger.”
    • Also stated in: § Results · plain
      “In all models, as self-esteem decreased, the positive association between social media use and CRP became stronger”
    Quote in the paperSubstantial claim
  • Findingown data

    Social media use was not significantly correlated with IL-6.

    “Social media use was not significantly correlated with either CRP or IL-6.”
    Quote in the paperSubstantial claim
  • Findingown data

    As self-esteem decreased, the positive association of social media use with IL-6 became stronger.

    “Specifically, as self-esteem decreased, the positive association of social media use with CRP and IL-6 became stronger.”
    Quote in the paperSubstantial claim
  • Findingown data

    Self-esteem was negatively correlated with CRP in all five models.

    “Self-esteem was negatively correlated with CRP in all of the five models.”
    Quote in the paperNot a substantial claim
  • Findingown data

    Social media use was not significantly correlated with CRP.

    “Social media use was not significantly correlated with either CRP or IL-6.”
    • Also stated in: § Results · plain
      “Across Models 0–4, social media use was not significantly associated with CRP.”
    Quote in the paperSubstantial claim
  • May combine two claims. 13
  • Classified as probably not a substantial claim. 28
  • May combine two claims.

    Findingown data

    Zero-order correlations revealed that social media use was not significantly associated with CRP and negatively associated with IL-6.

    “zero-order correlations revealed that social media use was not significantly associated with CRP and negatively associated with IL-6 (unexpectedly).”
    Quote in the paperSubstantial claim
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    Findingown data

    Self-esteem was negatively associated with IL-6 in one of the five models.

    “Self-esteem was negatively associated with IL-6 in one of the five models.”
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    Findingnone given

    The present study involved middle-aged adults (mean age: 52.72 years old).

    “the present study involved middle-aged adults (mean age: 52.72 years old)”
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    Findingnone given

    The MIDUS biomarker sample is large and diverse in terms of its sociodemographic distribution.

    “although the MIDUS biomarker sample is large and diverse in terms of its sociodemographic distribution”
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    Interpretationown data

    The small confidence intervals indicated that the effect was estimated with precision.

    “the small confidence intervals indicated that this effect, while small, was estimated with precision.”
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    Premisecitation

    A large body of research indicates a small, negative association between social media use and psychological well-being.

    “Although there is no consensus, a large body of research indicates a small, negative association between social media use and psychological well-being (Liu et al., 2019; Kross et al., 2021; also see Orben et al., 2019).”
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    Recent work has reported no significant link between social media use and well-being.

    “However, recent work has also reported no significant link between social media use and well-being (Odgers and Jensen, 2020; Orben and Przybylski, 2019) and suggested that social media use itself may not be a strong predictor of well-being outcomes (Coyne et al., 2020; Hall et al., 2019; Heffer et al., 2019; Orben et al., 2019; Stieger and Lewetz, 2018).”
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    Premisecitation

    Facebook use predicted declines in affective and cognitive well-being in a longitudinal study.

    “For example, in a longitudinal study, Facebook use predicted declines in affective and cognitive well-being (Kross et al., 2013).”
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    Premisecitation

    LSEs are more likely to fixate on negative aspects of themselves and maintain negative mood.

    “Further, they are more likely to fixate on negative aspects of themselves and maintain negative mood (Wood and Forest, 2016), which can lead to undermined physical health (e.g., Cohen et al., 2007; Glassman and Shapiro, 1998; Rozanski et al., 1999; Wulsin et al., 1999).”
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    Limiting or abstaining from social media use reduced loneliness and depression and enhanced life satisfaction.

    “Other studies found that limiting or abstaining from social media use reduced loneliness and depression, as well as enhancing life satisfaction (Hunt et al., 2018; Tromholt, 2016).”
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    Premisecitation

    People high in self-esteem (HSEs) tend to cultivate high-quality relationships with others and use them as a resource for self-affirmation.

    “In contrast, people high in self-esteem (HSEs) tend to cultivate high-quality relationships with others and use them as a resource for self-affirmation (Murray et al., 1998).”
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    Premisecitation

    Perceived social support was associated with lower CRP only for HSEs, presumably because LSEs' negative self-view often prevents them from benefiting from supportive relationships.

    “However, recent work found that perceived social support was associated with lower CRP only for HSEs, presumably because LSEs’ negative self-view often prevents them from benefiting from supportive relationships (Lee and Way, 2019).”
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    Premisecitation

    Constant exposure to positive information about others can trigger upward social comparison and elicit envy, which is linked to lower well-being.

    “Constant exposure to positive information about others can trigger upward social comparison and elicit envy, which is linked to lower well-being (Verduyn et al., 2015).”
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    • cites Verduyn et al., 2015 source

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    Interpretationreasoning

    Extant research suggests that self-esteem may play a moderating role in the link between social media use and inflammation.

    “Taken together, extant research suggests that self-esteem may play a moderating role in the link between social media use and inflammation.”
    Quote in the paperSubstantial claim
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    Premisecitation

    Recent recommendations suggest identifying a specific subpopulation (e.g., age, personality) when making claims about emergent technology effects.

    “This perspective is consistent with recent recommendations to identify a specific subpopulation (e.g., age, personality) when making claims about emergent technology effects (Orben, 2020).”
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    Study design and conductnone given

    We excluded participants with lupus/autoimmune disorder, under cancer treatment, taking adrenal cortical steroids, immunosuppressants, or immunostimulants.

    “We also excluded 38 participants who had lupus/autoimmune disorder, 46 participants who were under cancer treatment/therapy, 21 participants taking adrenal cortical steroids (i.e., prednisone), 6 participants taking immunosuppressants (i.e. Natalizumab), and one participant taking an immunostimulant.”
    Quote in the paperSubstantial claim
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    Premisecitation

    Afifi et al. (2018) found a positive association between Facebook use and IL-6 only among adolescents; the same pattern was not observed among the mothers and fathers in their study.

    “In fact, Afifi et al. (2018) found a positive association between Facebook use and IL-6 only among adolescents; the same pattern was not observed among the mothers and fathers in their study.”
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    Medications have been shown to have anti-inflammatory properties.

    “as they have been shown to have anti-inflammatory properties (see Horn et al., 2018).”
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    Premisecitation

    On social media, people tend to portray themselves in overly positive manners and share positive life events more than negative ones.

    “On social media, people tend to portray themselves in overly positive manners and share positive life events more than negative ones (Kross et al., 2013).”
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    Premisecitation

    HSEs may be buffered from these processes as they tend to focus on their positive aspects and are less affected by the potential for rejection.

    “In contrast, HSEs may be buffered from these processes as they tend to focus on their positive aspects and are less affected by the potential for rejection (Wood and Forest, 2016).”
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    Study design and conductown data

    Sensitivity analyses showed how different exclusion criteria impacted results.

    “See Supplement for details on sensitivity analyses showing how different exclusion criteria impacted results.”
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    Premisecitation

    Older women who had satisfying relationships with others had lower IL-6.

    “For example, older women who had satisfying relationships with others had lower IL-6 (Friedman et al., 2005).”
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    Premisecitation

    Afifi et al. (2018) discovered a positive correlation between Facebook use and IL-6 among adolescents.

    “findings from Afifi et al. (2018), which discovered a positive correlation between Facebook use and IL-6 among adolescents.”
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    Premisecitation

    Frequent face-to-face social interactions generally promote health.

    “Although frequent face-to-face social interactions generally promote health (e.g., Cohen, 2004)”
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    Premisecitation

    Different ways in which people use social media can influence their well-being.

    “the different ways in which people use social media can influence their well-being (e.g., Verduyn et al., 2015; see Clark et al., 2018)”
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    Premisecitation

    Recent work found a negative association between a construct that includes self-esteem, psychological resources (e.g., optimism, mastery, self-esteem) and various inflammatory markers.

    “This is consistent with some recent work that found a negative association between a construct that includes self-esteem, psychological resources (e.g., optimism, mastery, self-esteem) and various inflammatory markers (e.g., Marteinsdottir et al., 2016; Stokes, 2020).”
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    Study design and conductown data

    There was a time lag (M = 22.16 months; SD = 8.87 months) between the blood draw and completion of the survey containing the social media use and self-esteem items.

    “Finally, there was a time lag (M ​= ​22.16 months; SD ​= ​8.87 months) between the blood draw and completion of the survey containing the social media use and self-esteem items.”
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    Study design and conductcitation

    The social media use measure is in line with how some scholars define "active" usage.

    “Although our social media use measure is in line with how some scholars define “active” usage (e.g., Verduyn et al., 2015)”
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    Premisecitation

    Other studies report no reliable link between self-esteem and systemic inflammation or only a significant correlation under certain contexts.

    “However, other studies also report no reliable link between self-esteem and systemic inflammation (Chiang et al., 2019; Kim and Thomas, 2019) or only a significant correlation under certain contexts (Elliot and Chapman, 2016).”
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    Study design and conductnone given

    In this study, the potential increase in family-wise error rate across the analyses was not controlled.

    “Related, in this study the potential increase in family-wise error rate across the analyses was not controlled.”
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    Premisecitation

    The link between social media use and well-being may be moderated by an individual's personality characteristics.

    “the link between social media use and well-being may be moderated by an individual's personality characteristics (Sheldon et al., 2021; Tobin et al., 2020)”
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    Study design and conductown data

    This study measured one type of social media usage (i.e., contacting family members and friends).

    “Third, it is important to note that this study measured one type of social media usage (i.e., contacting family members and friends).”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.

    Interpretationreasoning

    The present research demonstrates that the link between social media use and health may be nuanced and highlights the importance of identifying moderators at the individual difference level.

    “To this end, the present research demonstrates that the link between social media use and health may be nuanced and highlights the importance of identifying moderators at the individual difference level.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: Social media is prevalent in our social lives.
    • Rests on an assumption: Social relationships are important to physical health.
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Social media use itself may not be a strong predictor of well-being outcomes.

    “recent perspectives suggesting that social media use itself may not be a strong predictor of well-being outcomes (Coyne et al., 2020; Heffer et al., 2019; Orben et al., 2019)”
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    • cites Orben et al., 2019

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    Study design and conductreasoning

    The social media use measure does not fully capture the wide array of activities people can engage in on social media.

    “it does not fully capture the wide array of activities people can engage in on social media.”
    Quote in the paperNot a substantial claim
35 of 35
  • The paper relies on this without support.

    Little is known about how social media use relates to physical health.

    “However, in contrast to the vast amount of work on social media's impact on psychological well-being, little is known about how social media use relates to physical health.”
    “However, little is known about its relation to physical health.”
  • The paper relies on this without support.

    Systemic inflammation is a predictor of multiple disease states such as cancer and cardiovascular disease.

    “systemic inflammation, a predictor of multiple disease states such as cancer and cardiovascular disease”
  • The paper relies on this without support.

    Social media is prevalent in our social lives.

    “Given the prevalence of social media in our social lives”
  • The paper relies on this without support.

    Social relationships are important to physical health.

    “and the importance of social relationships to physical health”
4 of 4

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • A small number of recent studies suggest a link between social media use and physical health.

    “Nevertheless, a small number of recent studies suggest a link between social media use and physical health.11–14”

    From Social Media Use and Its Link to Physical Health Indicators (2022) · cites this paper as [12]

  • The analyses controlled for sociodemographic factors, health behaviors, depressive symptoms, and birth control pill use based on prior work.

    “Based on prior work,12,45,46 we controlled for extraneous factors associated with inflammation.”

    From Social Media Use and Its Link to Physical Health Indicators (2022) · cites this paper as [12]

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • Abstract denies a significant IL-6 correlation shown in Table 1

    Major

    Table 1 marks the correlation between social media use and IL-6 as significant, and the discussion describes it as negative. The abstract says social media use was not significantly correlated with either biomarker.

  • Discussion overstates self-esteem's association with IL-6

    Minor

    The discussion says self-esteem was negatively associated with IL-6 in models without drug covariates. Table 2 shows a significant negative coefficient only in Model 1; Models 0 and 2 also lack drug covariates but have p = .06 and p = .09.

2 of 2

Cites

1 retracted

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2 of the 78 references couldn’t be matched to a known paper.

Cited by

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Authors
Lee, D. S., & Way, B. M.
Affiliations
  • University at Buffalo, State University of New York (US)
  • The Ohio State University (US)
Corresponding author
Lee, David S.
Venue
Brain, Behavior, & Immunity - Health
Publisher
Elsevier BV
Published
2021-10
Volume
16
Pages
100300
ISSN
2666-3546 (ISSN-L)
OpenAlex
W3185358662
Cited by
21
References
78
Citations by year
2026: 3 · 2025: 4 · 2024: 4 · 2023: 4 · 2022: 5 · 2021: 1
FWCI
4.85
Type
journal article
Language
en
Open access
Locations
  • Brain Behavior & Immunity - Health (publishedVersion, cc-by-nc-nd)
  • Europe PMC (PubMed Central) (publishedVersion, other-oa)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
  • Social Sciences › Health › Health disparities and outcomes
  • Life Sciences › Neuroscience › Biological Psychiatry › Tryptophan and brain disorders
Keywords
social media use, systemic inflammation, self-esteem, moderation, C-reactive protein, interleukin-6, inflammatory markers, physical health, middle-aged adults, depressive symptoms

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