Residential factors associated with mental health in United States Veterans, Air Force military, and Air Force employees Article Swipe
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1016/j.indenv.2025.100103
Individuals in Westernized countries spend most of their time indoors. However, exploration of residential building factors that may influence occupants’ mental health is limited in scientific literature. The purpose of this study was to explore investigator’s perceived areas of importance in residences to mental health via survey methods. To that end, we administered the Housing, Occupancy, Materials, and Environment (HOME) survey to assess factors that may influence mental health to those working in the United States (US) Air Force (n = 230) or past military members, US Veterans (n = 180). Self-reported mental health surveys were also administered to the Air Force (RAND 36-Item Short-Form) and Veterans (36-Item Short-Form survey version 2, Patient Health Questionnaire-9). The residential question that correlated to the most mental health measures for both groups was an ability to adjust indoor climate, with positive correlations. Other correlations between residential questions and health scores across the two groups were dissimilar, indicating the residential factors of importance to mental health may be variable across an individual’s life. For example, multiple positive correlations between mental health measures and nature in the older Veteran group support robust and support previous results on the importance of nature to older adults. Overall, this study provides a basis for future research and targeted clinical interventions that can quantify and positively impact the home environment and improve mental health outcomes.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.indenv.2025.100103
- OA Status
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- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4410856968Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.indenv.2025.100103Digital Object Identifier
- Title
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Residential factors associated with mental health in United States Veterans, Air Force military, and Air Force employeesWork title
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articleOpenAlex work type
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enPrimary language
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2025Year of publication
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2025-05-29Full publication date if available
- Authors
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Andrew J. Hoisington, Christopher E. Stamper, Molly E. Penzenik, Meredith Reitter, Elizabeth J. Kovacs, Nazanin H. Bahraini, Lisa A. BrennerList of authors in order
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https://doi.org/10.1016/j.indenv.2025.100103Publisher landing page
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://doi.org/10.1016/j.indenv.2025.100103Direct OA link when available
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Mental health, Military personnel, Use of force, Psychology, Environmental health, Medicine, Psychiatry, Political science, Law, International lawTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.adjust | 133 |
| abstract_inverted_index.assess | 62 |
| abstract_inverted_index.future | 206 |
| abstract_inverted_index.groups | 128, 150 |
| abstract_inverted_index.health | 21, 44, 68, 93, 124, 145, 161, 176, 224 |
| abstract_inverted_index.impact | 217 |
| abstract_inverted_index.indoor | 134 |
| abstract_inverted_index.mental | 20, 43, 67, 92, 123, 160, 175, 223 |
| abstract_inverted_index.nature | 179, 195 |
| abstract_inverted_index.robust | 186 |
| abstract_inverted_index.scores | 146 |
| abstract_inverted_index.survey | 46, 60, 109 |
| abstract_inverted_index.36-Item | 103 |
| abstract_inverted_index.Patient | 112 |
| abstract_inverted_index.Veteran | 183 |
| abstract_inverted_index.ability | 131 |
| abstract_inverted_index.adults. | 198 |
| abstract_inverted_index.between | 141, 174 |
| abstract_inverted_index.explore | 34 |
| abstract_inverted_index.factors | 15, 63, 156 |
| abstract_inverted_index.improve | 222 |
| abstract_inverted_index.limited | 23 |
| abstract_inverted_index.purpose | 28 |
| abstract_inverted_index.results | 190 |
| abstract_inverted_index.support | 185, 188 |
| abstract_inverted_index.surveys | 94 |
| abstract_inverted_index.version | 110 |
| abstract_inverted_index.working | 71 |
| abstract_inverted_index.(36-Item | 107 |
| abstract_inverted_index.Housing, | 54 |
| abstract_inverted_index.However, | 10 |
| abstract_inverted_index.Overall, | 199 |
| abstract_inverted_index.Veterans | 87, 106 |
| abstract_inverted_index.building | 14 |
| abstract_inverted_index.climate, | 135 |
| abstract_inverted_index.clinical | 210 |
| abstract_inverted_index.example, | 170 |
| abstract_inverted_index.indoors. | 9 |
| abstract_inverted_index.measures | 125, 177 |
| abstract_inverted_index.members, | 85 |
| abstract_inverted_index.methods. | 47 |
| abstract_inverted_index.military | 84 |
| abstract_inverted_index.multiple | 171 |
| abstract_inverted_index.positive | 137, 172 |
| abstract_inverted_index.previous | 189 |
| abstract_inverted_index.provides | 202 |
| abstract_inverted_index.quantify | 214 |
| abstract_inverted_index.question | 117 |
| abstract_inverted_index.research | 207 |
| abstract_inverted_index.targeted | 209 |
| abstract_inverted_index.variable | 164 |
| abstract_inverted_index.countries | 3 |
| abstract_inverted_index.influence | 18, 66 |
| abstract_inverted_index.outcomes. | 225 |
| abstract_inverted_index.perceived | 36 |
| abstract_inverted_index.questions | 143 |
| abstract_inverted_index.Materials, | 56 |
| abstract_inverted_index.Occupancy, | 55 |
| abstract_inverted_index.Short-Form | 108 |
| abstract_inverted_index.correlated | 119 |
| abstract_inverted_index.importance | 39, 158, 193 |
| abstract_inverted_index.indicating | 153 |
| abstract_inverted_index.positively | 216 |
| abstract_inverted_index.residences | 41 |
| abstract_inverted_index.scientific | 25 |
| abstract_inverted_index.Environment | 58 |
| abstract_inverted_index.Individuals | 0 |
| abstract_inverted_index.Short-Form) | 104 |
| abstract_inverted_index.Westernized | 2 |
| abstract_inverted_index.dissimilar, | 152 |
| abstract_inverted_index.environment | 220 |
| abstract_inverted_index.exploration | 11 |
| abstract_inverted_index.literature. | 26 |
| abstract_inverted_index.residential | 13, 116, 142, 155 |
| abstract_inverted_index.administered | 52, 97 |
| abstract_inverted_index.correlations | 140, 173 |
| abstract_inverted_index.occupants’ | 19 |
| abstract_inverted_index.Self-reported | 91 |
| abstract_inverted_index.correlations. | 138 |
| abstract_inverted_index.interventions | 211 |
| abstract_inverted_index.individual’s | 167 |
| abstract_inverted_index.investigator’s | 35 |
| abstract_inverted_index.Questionnaire-9). | 114 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 7 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/5 |
| sustainable_development_goals[0].score | 0.4000000059604645 |
| sustainable_development_goals[0].display_name | Gender equality |
| citation_normalized_percentile.value | 0.29565894 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |