en Community Health Community Health Original Research Original Research <span style="font-size:13pt"><span style="text-justify:kashida"><span style="text-kashida:0%"><span style="text-autospace:none"><span style="font-family:&quot;Times New Roman&quot;,serif"><span style="font-style:italic"><b>&nbsp;&nbsp;</b><b><span style="font-size:9.0pt"><span style="font-style:normal">&nbsp; Background: </span></span></b><span style="font-size:9.0pt"><span style="font-style:normal">Early detection of cognitive impairments is crucial for preventing progression to dementia. An effective diagnosis necessitates a tool with robust diagnostic characteristics. The Saint Louis University Mental Status (SLUMS) exam is a widely utilized instrument for diagnosing neurocognitive disorders. This study assessed the psychometric properties of its Persian version (P-SLUMS) among Iranian community. </span></span></span></span></span></span></span></span><br> <span style="font-size:13pt"><span style="text-justify:kashida"><span style="text-kashida:0%"><span style="text-autospace:none"><span style="font-family:&quot;Times New Roman&quot;,serif"><span style="font-style:italic"><span style="font-size:9.0pt"><span style="font-style:normal">&nbsp;&nbsp; <b>Methods:</b> This cross-sectional study was conducted with 450 community-dwelling older adults who were referred to one of the Tehran Municipality centers and participated in a cultural program from March to November 2021. Data collection tools included a demographic questionnaire, the Mini-Mental State Examination (MMSE) for concurrent validity, and the SLUMS exam. Dementia was assessed using the Persian version of the Global Deterioration Scale (GDS), while depression was evaluated with the Persian version of the Patient Health Questionnaire-9 (PHQ-9). The SLUMS exam was translated into Persian in accordance with the World Health Organization&rsquo;s protocol. Participants were recruited through convenience sampling based on the inclusion criteria. The P-SLUMS exam was evaluated for content validity, face validity, concurrent validity, and construct validity using Confirmatory Factor Analysis (CFA), as well as reliability, which was assessed over a two-week interval among 20 participants. </span></span></span></span></span></span></span></span><br> <span style="font-size:13pt"><span style="text-justify:kashida"><span style="text-kashida:0%"><span style="text-autospace:none"><span style="font-family:&quot;Times New Roman&quot;,serif"><span style="font-style:italic"><b><span style="font-size:9.0pt"><span style="font-style:normal">&nbsp;&nbsp; Results:</span></span></b><span style="font-size:9.0pt"><span style="font-style:normal"> CFA indicated acceptable model fit indices. The goodness-of-fit indices for the model, including CFI, PCFI, and PNFI, were 0.82, 0.66, and 0.44, respectively, indicating a moderate fit that falls below the recommended thresholds for excellent parsimony. However, these indices are considered acceptable for our sample, which encompasses diverse education levels and a moderate number of items. The tool demonstrated high internal consistency (Cronbach&rsquo;s alpha = 0.866) and excellent test-retest reliability (ICC = 0.979). </span></span></span></span></span></span></span></span><br> <span style="font-size:13pt"><span style="text-justify:kashida"><span style="text-kashida:0%"><span style="text-autospace:none"><span style="font-family:&quot;Times New Roman&quot;,serif"><span style="font-style:italic"><span style="font-size:9.0pt"><span style="font-style:normal">&nbsp;&nbsp; <b>Conclusion:</b> The P-SLUMS exam is a valid, reliable, and user-friendly tool for early detection of Mild Cognitive Impairment (MCI) and dementia.</span></span></span></span></span></span></span></span><br> &nbsp; SLUMS, Mild Cognitive Impairment, MCI, dementia, psychometric properties 312 321 http://mjiri.iums.ac.ir/browse.php?a_code=A-10-9504-1&slc_lang=en&sid=1 Shohreh Naderimagham sh-naderimagham@sina.tums.ac.ir 200319475328460097377 200319475328460097377 No Elderly Health Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran Farshad Sharifii farshad.sharifi@gmail.com 200319475328460097378 200319475328460097378 No Elderly Health Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran Sahar Keyvanloo Shahrestanaki key_sahar@yahoo.com 200319475328460097379 200319475328460097379 No Department of Community Health and Geriatric Nursing, Nursing and Midwifery Care Research Center, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran Hossein Fakhrzadeh emrc@sina.tums.ac.ir 200319475328460097380 200319475328460097380 No Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran Zahra Amrollah Majdabadi Kohne afsaneha1358@gmail.com 200319475328460097381 200319475328460097381 No Department of Community Health and Geriatric Nursing, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran Fatemeh Ghonnodi fatemehghonoodi@yahoo.com 200319475328460097382 200319475328460097382 No School of Medical, Shahid Beheshti University of Medical Sciences, Tehran, Iran Sedigeh Sarabi sedigeh@gmail.com 200319475328460097383 0001-0000-1234-4567 No University of UKM, KL, Malaysia Negin Malekraeisi m.negin731@yahoo.com 200319475328460097384 200319475328460097384 No Faculty of Medicine, Tehran Medical Science, Islamic Azad University, Tehran, Iran Masoud Ghassemi Mas_qasemi@iauctb.ac.ir 200319475328460097385 200319475328460097385 No Faculty of Educational Science and Psychology, Islamic Azad University, Central Tehran Branch, Tehran, Iran Masoud Arzaghi dr.arzaghi@gmail.com 200319475328460097386 200319475328460097386 Yes Elderly Health Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran