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Protective Factors

Clinical Research · NLM MeSH · updated 2026-10-29 · version 1

Citations verified against PubMedNot yet clinician-reviewed10 referencesApproximately 5 min read

An aspect of personal behavior or lifestyle, environmental exposure, or inborn or inherited characteristic, which, on the basis of epidemiologic evidence, is known to be associated with prevention or mitigation of a health-related

Table of Contents

1. Definition2. Research landscape3. Reading the evidence4. Open-access studies5. Key reviews6. References7. About this article

Definition and research guide

This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.

Content available: 4 complete abstracts (889 words), 10 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.

Definition

An aspect of personal behavior or lifestyle, environmental exposure, or inborn or inherited characteristic, which, on the basis of epidemiologic evidence, is known to be associated with prevention or mitigation of a health-related condition considered important to prevent.

Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.

Also known as: Factor, Protective; Factors, Protective; Protective Factor.

Where it fits in the MeSH classification

Broader topics
Risk; Causality

Research landscape

PubMed indexes 7,553 records tagged with the MeSH heading “Protective Factors” (counts retrieved 2026-10-29). 3,298 of them (43.7%) were published from 2020 onward, and the busiest period so far is 2010-2019 with 4,433 records.

Reviews account for 1,584 records (21.0%) and meta-analyses for 520. Randomized controlled trials number 156 (2.1%) as a share of all records on the topic.

PubMed records by publication periodthrough 1999: 0 records; 2000-2009: 0 records; 2010-2019: 4,433 records; 2020 onward: 3,298 records0through 199902000-20094,4332010-20193,2982020 onward
Records in PubMed indexed with this heading, by publication period. Real counts from NCBI E-utilities; the final period covers only part of the current year. Volume reflects how much has been published, not how strong the evidence is.
Show the data
PeriodRecords
through 19990
2000-20090
2010-20194,433
2020 onward3,298
Share of records by publication typeReviews: 21.0 percent; Meta-analyses: 6.9 percent; Randomized controlled trials: 2.1 percentReviews21.0% (1,584)Meta-analyses6.9% (520)Randomized controlled trials2.1% (156)
Share of all PubMed records on this heading that carry each publication type. Types overlap with other records, so the shares do not sum to 100%.
Publication-type chart data
Publication types among 7,553 PubMed records
TypeRecordsShare
Reviews1,58421.0%
Meta-analyses5206.9%
Randomized controlled trials1562.1%

Method: PubMed query "Protective Factors"[MeSH Terms] with publication-type and date filters, retrieved 2026-10-29.

Reading the evidence in clinical research

Research methods determine how much a result can be trusted. Randomized trials guard against confounding, systematic reviews and meta-analyses combine many studies, and observational designs are valuable but can show only association. Reporting standards, trial registration and pre-specified outcomes reduce bias. When reading about a method, ask what problem it is designed to solve and which problems it does not solve.

Evidence from open-access studies

These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.

Study comparison — selected abstracts, not a systematic review
Study / authorsYearSource label / designEurope PMC citationsLicence / source
The Epidemiology of Alzheimer's Disease Modifiable Risk Factors and Prevention
Zhang XX, Tian Y, Wang ZT, Ma YH, Tan L, Yu JT
2021Review article
Design not recorded in structured metadata
536cc by
PMID 34101789 · DOI · PMC12280729
Protective Elements of Mental Health Status during the COVID-19 Outbreak in the Portuguese Population
Silva Moreira P, Ferreira S, Couto B, Machado-Sousa M, Fernández M, Raposo-Lima C, et al.
2021Research article
Design not recorded in structured metadata
75cc by
PMID 33669453 · DOI · PMC7920474
Meaning in life as a protective factor against suicidal tendencies in Chinese University students
Lew B, Chistopolskaya K, Osman A, Huen JMY, Abu Talib M, Leung ANM
2020Research article
Design not recorded in structured metadata
58cc by
PMID 32070298 · DOI · PMC7027298
Trauma, resilience and significant relationships: Sex differences in protective factors for military mental health
Dell L, Madden K, Baur J, Sbisa A, McFarlane A, VanHooff M, et al.
2025Research article
Design not recorded in structured metadata
1cc by
PMID 39392240 · DOI · PMC11667957

The Epidemiology of Alzheimer's Disease Modifiable Risk Factors and Prevention [1]

Review article Zhang XX, Tian Y, Wang ZT, Ma YH, Tan L, Yu JT · · 2021 · cited 536 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Mild Alzheimer's disease is the leading cause of dementia, accounting for 50-70% of cases.
Closing excerpt
Here, we provide an overview of current epidemiological advances related to Alzheimer's disease modifiable risk factors, highlighting the concept of early prevention.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (153 words)

Mild Alzheimer's disease is the leading cause of dementia, accounting for 50-70% of cases. Alzheimer's disease is an irreversible neurodegenerative disease, which affects daily life activities and social functioning. As life expectancy increases and demographic ageing occurs, the global prevalence of Alzheimer's disease is expected to continue to rise especially in developing countries, leading to a costly burden of disease. Alzheimer's disease is a complex and multifactorial disorder that is determined by the interaction of genetic susceptibility and environmental factors across the life course. Epidemiological studies have identified potential modifiable risk and protective factors for Alzheimer's disease prevention. Moreover, Alzheimer's disease is considered to start decades earlier before clinical symptoms occur, thus interventions targeting several risk factors in non-demented elderly people even middle-aged population might prevent or delay Alzheimer's disease onset. Here, we provide an overview of current epidemiological advances related to Alzheimer's disease modifiable risk factors, highlighting the concept of early prevention.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 34101789 · DOI · PMC12280729

Protective Elements of Mental Health Status during the COVID-19 Outbreak in the Portuguese Population [2]

Research article Silva Moreira P, Ferreira S, Couto B, Machado-Sousa M, Fernández M, Raposo-Lima C, et al. · · 2021 · cited 75 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
The outbreak of COVID-19 might produce dramatic psychological effects on individuals' lives.
Closing excerpt
Our results indicate that the practice of physical exercise, reduced consumption of COVID-19 information and the implementation of remote mental healthcare measures might prevent larger impacts on mental health during the COVID-19 outbreak.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (167 words)

The outbreak of COVID-19 might produce dramatic psychological effects on individuals' lives. In this study, we aimed to explore the elements that may reduce the negative effects on mental health of the quarantine period imposed by most governments during this worldwide crisis. We conducted an online survey to evaluate demographic, lifestyle and mental health variables in a sample of 1280 Portuguese individuals (79.8% females) with an average age of 37 years. We observed that factors related to living conditions, maintaining work either online or in the workplace, frequency of exercise and absence of previous psychological or physic disorders are protective features of psychological well-being (anxiety, depression, stress and obsessive-compulsive symptoms). Finally, the individuals previously receiving psychotherapeutic support exhibited better psychological indicators if they did not interrupt the process as a consequence of the outbreak. Our results indicate that the practice of physical exercise, reduced consumption of COVID-19 information and the implementation of remote mental healthcare measures might prevent larger impacts on mental health during the COVID-19 outbreak.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 33669453 · DOI · PMC7920474

Meaning in life as a protective factor against suicidal tendencies in Chinese University students [3]

Research article Lew B, Chistopolskaya K, Osman A, Huen JMY, Abu Talib M, Leung ANM · · 2020 · cited 58 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
BackgroundA substantial increase in rates of suicide worldwide, especially among late adolescents and young adults, has been observed.
Closing excerpt
ConclusionMeaning in life, including both the presence of meaning in life and search for meaning, can be good protective factors against suicidal behaviors.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (237 words)

BackgroundA substantial increase in rates of suicide worldwide, especially among late adolescents and young adults, has been observed. It is important to identify specific risk and protective factors for suicide-related behaviors among late adolescents and young adults. Identifying specific factors across the masses, not only in the Western, but also in the Asian context, helps researchers develop empirically informed intervention methods for the management of protective and risk factors of suicide.MethodsIn the current study, 2074 students (706 males), filled out the Meaning in Life Questionnaire, with subscales of Search for Meaning (MLQ-S) and Presence of Meaning (MLQ-P); the Future Disposition Inventory-24 (FDI-24), with subscales of Positive Focus (PF), Suicide Orientation (SO), and Negative Focus (NF); and the Beck Hopelessness Scale (BHS). These scales measure protective and risk factors that are linked to suicidal behaviors; while suicidal behaviors were measured by the Suicidal Behaviors Questionnaire-Revised (SBQ-R). Mediation analyses were performed to test the models with both the MLQ-S and MLQ-P as the mediators between a) hopelessness, as measured by BHS and suicidal behaviors; and b) PF, SO, and NF, as measured by FDI-24, and suicidal behaviors.ResultsWe found that only MLQ-P mediated the relation between hopelessness and suicidal behaviors; while both MLQ-P and MLQ-S mediated PF, SO, and NF (as measured by FDI-24), and suicidal behaviors, respectively.ConclusionMeaning in life, including both the presence of meaning in life and search for meaning, can be good protective factors against suicidal behaviors.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 32070298 · DOI · PMC7027298

Trauma, resilience and significant relationships: Sex differences in protective factors for military mental health [4]

Research article Dell L, Madden K, Baur J, Sbisa A, McFarlane A, VanHooff M, et al. · · 2025 · cited 1 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
BackgroundMilitary service is historically a male-dominated occupation, as such, the majority of research examining the development of mental disorder in Australian Defence Force members has had primarily male samples.
Closing excerpt
Social support from significant relationship was particularly important for males' mental health, suggesting that maintaining positive relationships and supporting military spouses and partners are critical for males' mental health.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (332 words)

BackgroundMilitary service is historically a male-dominated occupation, as such, the majority of research examining the development of mental disorder in Australian Defence Force members has had primarily male samples. While there have been mixed findings internationally regarding sex differences in rates of mental disorder and subthreshold symptoms among military personnel, across studies, the evidence tends to suggest that female military members are at least as likely as males to experience subthreshold mental health symptoms and have similar or higher rates of posttraumatic stress disorder despite the differences in roles during service. What is less understood is the impact of sex differences in symptom emergence over time and in predictors of clinical disorder.MethodThe sample included a longitudinal cohort of Australian Defence Force members (N = 8497) surveyed at Time 1 (2010) and followed up at Time 2 (2015) on measures of anger, self-perceived resilience, trauma exposure, deployment exposure, suicidality, help-seeking, relationship satisfaction and mental health disorder symptoms. Outcomes included Subthreshold Disorder (above the optimal screening cut-off on the 10-item Kessler distress scale or posttraumatic stress disorder checklist) and Probable Disorder (above the epidemiological cut-off on the 10-item Kessler distress scale or posttraumatic stress disorder checklist).ResultsResults found that while lifetime trauma exposure remained the strongest predictor of later probable disorder emergence among both males and females, for females specifically, self-reported resilience was also a significant protective factor. In contrast, being in a significant relationship at Time 1 was a protective factor against the development of subthreshold disorder in males.ConclusionFor the first time, sex differences in mental health symptom emergence over time have been explored in a large Australian cohort of military members. The capacity to adapt and bounce back after adversity emerged as a proactive factor against poor mental health for females in the military and could be addressed as part of routine skills training. Social support from significant relationship was particularly important for males' mental health, suggesting that maintaining positive relationships and supporting military spouses and partners are critical for males' mental health.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 39392240 · DOI · PMC11667957

Key reviews and meta-analyses

The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.

  • Research article Protective Factors Among Transgender and Gender Variant Youth: A Systematic Review by Socioecological Level [5]
    Johns MM, Beltran O, Armstrong HL, Jayne PE, Barrios LC · J Prim Prev · 2018 · cited 103 times (Europe PMC)
  • Research article Risk and protective factors of internet addiction: a meta-analysis of empirical studies in Korea [6]
    Koo HJ, Kwon JH · Yonsei Med J · 2014 · cited 74 times (Europe PMC)
  • Research article The role of epigenetics in psychological resilience [7]
    Smeeth D, Beck S, Karam EG, Pluess M · Lancet Psychiatry · 2021 · cited 69 times (Europe PMC)
  • Research article Linking risk factors and outcomes in autism spectrum disorder: is there evidence for resilience? [8]
    Elsabbagh M · BMJ · 2020 · cited 69 times (Europe PMC)
  • Research article Adolescent Internet Addiction in Hong Kong: Prevalence, Psychosocial Correlates, and Prevention [9]
    Chung TWH, Sum SMY, Chan MWL · J Adolesc Health · 2019 · cited 64 times (Europe PMC)
  • Research article Protective Factors for Youth Exposed to Violence in Their Communities: A Review of Family, School, and Community Moderators [10]
    Ozer EJ, Lavi I, Douglas L, Wolf JP · J Clin Child Adolesc Psychol · 2017 · cited 64 times (Europe PMC)

References

  1. Zhang XX, Tian Y, Wang ZT, Ma YH, Tan L, Yu JT. The Epidemiology of Alzheimer's Disease Modifiable Risk Factors and Prevention. . 2021. PMID 34101789 · DOI · PMC12280729
  2. Silva Moreira P, Ferreira S, Couto B, Machado-Sousa M, Fernández M, Raposo-Lima C, et al.. Protective Elements of Mental Health Status during the COVID-19 Outbreak in the Portuguese Population. . 2021. PMID 33669453 · DOI · PMC7920474
  3. Lew B, Chistopolskaya K, Osman A, Huen JMY, Abu Talib M, Leung ANM. Meaning in life as a protective factor against suicidal tendencies in Chinese University students. . 2020. PMID 32070298 · DOI · PMC7027298
  4. Dell L, Madden K, Baur J, Sbisa A, McFarlane A, VanHooff M, et al.. Trauma, resilience and significant relationships: Sex differences in protective factors for military mental health. . 2025. PMID 39392240 · DOI · PMC11667957
  5. Johns MM, Beltran O, Armstrong HL, Jayne PE, Barrios LC. Protective Factors Among Transgender and Gender Variant Youth: A Systematic Review by Socioecological Level. J Prim Prev. 2018. PMID 29700674 · DOI · PMC5976555
  6. Koo HJ, Kwon JH. Risk and protective factors of internet addiction: a meta-analysis of empirical studies in Korea. Yonsei Med J. 2014. PMID 25323910 · DOI · PMC4205713
  7. Smeeth D, Beck S, Karam EG, Pluess M. The role of epigenetics in psychological resilience. Lancet Psychiatry. 2021. PMID 33915083 · DOI · PMC9561637
  8. Elsabbagh M. Linking risk factors and outcomes in autism spectrum disorder: is there evidence for resilience?. BMJ. 2020. PMID 31992555 · DOI
  9. Chung TWH, Sum SMY, Chan MWL. Adolescent Internet Addiction in Hong Kong: Prevalence, Psychosocial Correlates, and Prevention. J Adolesc Health. 2019. PMID 31122547 · DOI
  10. Ozer EJ, Lavi I, Douglas L, Wolf JP. Protective Factors for Youth Exposed to Violence in Their Communities: A Review of Family, School, and Community Moderators. J Clin Child Adolesc Psychol. 2017. PMID 26114611 · DOI

About this article

Sources
NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
Verification
Every reference was resolved against PubMed on 2026-10-31; title, year and DOI matched.
Review state
automated source verified; no human expert review has been recorded yet.
Version
1, last updated 2026-10-29.

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Related research topics

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All 98 articles in Clinical Research →

At a glance

7,553
PubMed records on this heading
44%
published since 2020
1,584
review articles
156
randomized trials
10
verified references below

Counts come from PubMed on 2026-10-29; they show how much has been written, not how strong the evidence is.

Related topics See all →

  • Cardiometabolic Risk FactorsClinical Research
  • Risk FactorsClinical Research
  • Mediation AnalysisClinical Research
  • Cluster AnalysisClinical Research
  • Confidence IntervalsClinical Research

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