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Relationship education has shown promising effects for low-income couples on outcomes such as promoting positive communication, improving global relationship satisfaction, parenting, and individual psychological distress. Studies also indicate that couples' baseline distress (e.g., relational and individual) moderates outcomes. Yet, few studies implemented a person-centered approach to analyzing data for those who participate in relationship education. In a sample of 488 low-income opposite-gendered couples, we identified latent profile groups for men and women based on self-reported relationship satisfaction and behavioral self-regulation scores, thus incorporating both relational and individual factors. Results yielded a three-class solution for men and a four-class solution for women. We then examined group profile differences in individual psychological distress and relationship satisfaction change scores after completing the relationship education intervention (12 h of PREP's Within Our Reach). Results indicated significant differences, suggesting that group membership can predict overall improvements in both psychological and relationship distress. Thus, RE programmers and policymakers may consider flexible delivery (e.g., more or less content; more or less intense coaching) that considers overall baseline relational and/or individual functioning as opposed to a one-size-fits-all method.

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People's subjective sense of meaning in life is a flourishing research topic in psychology but remains underexplored in sport psychology. This study uses a person-oriented method to shed light on meaning in the lives of elite athletes (i.e., latent profile analysis) to identify distinct profiles of sources of meaning in life, and compare the extent to which these profiles differ in relation to athletic identity, life satisfaction, and self-esteem. A sample of 593 Swiss elite athletes (50.4% women, 49.6% men; Mage = 24.78 years, SD = 4.93) participated in the study. The Meaning and Purpose Scales (MAPS) were used to assess athletes' perceptions of meaningfulness, crisis of meaning, and sources of meaning. Athletes demonstrated higher overall meaningfulness, lower crisis of meaning, and prioritized different sources of meaning compared to the general population. Latent profile analysis revealed three distinct meaning profiles: (1) athletes with multiple meanings (n = 351), (2) athletes with low meaning (n = 126), and (3) faith-based athletes (n = 110). Notably, the athletes in the first and last profile exhibited higher life satisfaction and self-esteem. The identified profiles demonstrate that athletes differ both in the degree and the types of meaning in life. The findings align with studies outside of sport that suggest that meaning in life, in addition to being an end-value in itself, is also related to enhanced life satisfaction and self-esteem. Personalized meaning-focused interventions can be valuable for applied practice with elite athletes.

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Background: Improving health-related quality of life (HRQoL) among hypertensive individuals has emerged as a significant public health issue. However, current research has ignored the individual heterogeneity of perceived social support (PSS) among hypertensive patients. The potential mechanism of delay discounting (DD), living alone, and PSS on HRQoL remains unclear, and further exploration is required. Aim: This study aimed to ascertain PSS profiles among hypertensive patients and examine the hypotheses that DD mediates the relationship between PSS and HRQoL and that this mediating process is moderated by living alone in hypertensive patients. Methods: A cross-sectional study was carried out in Jiangsu, China. In total, 1815 hypertensive patients completed socio-demographic and HRQoL questionnaires, a PSS scale, and a DD task. Data analyses included a latent profile analysis, χ2-test, Spearman correlation analysis, and PROCESS macro for regression analysis. Results: Four potential PSS profiles were identified: lowest (3.2%), moderate-low (26.6%), moderate-high (42.4%), and highest (27.8%). DD mediated the association between PSS and HRQoL. The first half of this mediating process was moderated by living alone. Conclusion: Our findings indicated that PSS, DD, and living alone significantly influence the HRQoL of individuals with hypertension. Healthcare professionals should consider variations in PSS among hypertensive patients and implement interventions to reduce DD by enhancing PSS, in order to improve the HRQoL of this population.

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Gambling disorder (GD) is a behavioral addiction that causes serious harm to individuals' mental health and social functioning. This study aimed to explore whether gamblers' illness representations (IR) for GD are related to disordered and/or controlled patterns of gambling under the framework of commonsense model of self-regulation (CSM). Based on CSM, different facets of IR do not exist in isolation but together form a total illness schema; we hence used a person-centered analysis method, latent profile analysis (LPA), to classify gamblers by their overall IR for GD (including consequences, personal and treatment control, timeline cyclical, emotional representations, and coherence) into groups and then tested whether these groups differed in GD symptoms, controlled gambling behaviors, and help-seeking intention. An anonymous online survey was conducted on a social media platform, and valid responses from 589 past-year adult gamblers were collected. LPA results supported a four-profile model, revealing four profiles of GD representations: the weak-perception profile, average profile, tensed-up profile, and rational profile. Significant differences were found in all outcome variables in these four profile groups. In particular, the rational group exhibited the lowest levels of GD symptoms and impaired behavioral control, the highest levels of responsible and controlled gambling, and the highest levels of help-seeking intention, whereas the weak-perception group reported the lowest levels of responsible and controlled gambling behaviors. The findings provide empirical support for the application of CSM to addictive behaviors, as well as preliminary evidence for the potential use of CSM-based interventions for GD prevention.

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Research on social anxiety (SA) over the years has revealed its associations with different psychopathological symptoms. This study aims to characterize SA profiles in a sample of Spanish adolescents and explore their differences in psychopathological symptoms. Data from 1,288 Spanish students in the 15 to 18 age range (M = 16.30, SD = 0.97, 47.5% female) were collected using random cluster sampling. The Social Anxiety Scale for Adolescents (SAS-A) and the Symptom Assessment-45 Questionnaire (SA-45) were employed. Four SA profiles were revealed by the Latent Profile Analysis (LPA): extreme SA, high SA, moderate SA, and low SA. Statistically significant differences in psychopathological symptoms were revealed by the MANOVA (effect sizes from d = -2.13 to d = -0.37). The extreme SA profile exhibited the most severe psychopathological symptoms, whereas the low SA profile displayed the mildest manifestations. Proposed interventions aim to support adolescents with SA risk profiles.

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In this cross-sectional study, we aimed to identify subgroups of job satisfaction and health-related quality of life (HRQoL) in Chinese male nurses and examine the factors associated with subgroup profiles. A convenience sample of 626 Chinese male nurses were enrolled from January to October 2021. Latent profile analysis was performed to identify profiles based on self-esteem, psychological resilience, social support, neuroticism, perceived prejudice, occupational stress, job satisfaction, and HRQoL. Chi-squared tests were used to examine predictors of profiles. Results indicated that a three-profile model provided the best fit: low job satisfaction and health (9.90%), moderate job satisfaction and health (64.06%), and high job satisfaction and health (26.04%). The average number of monthly night shifts was negatively correlated with the male nurses' subgroups. Psychological resilience, social support, and neuroticism were the key factors associated with the HRQoL of male nurses, while perceived prejudice, occupational stress, and self-esteem were the key factors associated with job satisfaction. Nurse administrators could improve their job satisfaction and health by reducing perceived prejudice, and job stress, increasing organizational support and resilience.

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AIM: To identify distinct profiles of fear of cancer recurrence (FCR) among breast cancer patients of reproductive age, investigate the relationship between these profiles and reproductive concerns and explore potential risk factors encompassing sociodemographic, clinical and reproductive characteristics. DESIGN: A cross-sectional study was conducted from January 2022 to September 2022. METHODS: A convenience sample of 210 reproductive-aged breast cancer patients completed a questionnaire that included a general information section, the Fear of Progression Questionnaire-Short Form (FoP-Q-SF) and the Reproductive Concerns After Cancer Scale (RCAC). Latent profile analysis was conducted using the scores of the 12 items from the FoP-Q-SF as explicit variables, while univariate and multiple logistic regression analyses were employed for statistical analysis. RESULTS: Three latent variables were identified: low FCR-stable group (27.6%), moderate FCR-uneasy group (17.2%) and high FCR-intense group (55.2%). This study found that FCR was predicted by age, education level, cancer stage, chemotherapy and fertility intention. Furthermore, patients with heightened reproductive concerns exhibited a higher likelihood of belonging to the high FCR-intense group. CONCLUSION: These findings indicate that FCR varies among breast cancer patients of reproductive age and demonstrates individual differences. IMPLICATION: Early identification of FCR patterns in patients is crucial for medical professionals, with particular attention given to those in the high-intensity FCR group. Tailored prevention and care strategies should be implemented based on the unique characteristics and influencing factors associated with different potential categories of FCR among patients of childbearing age with breast cancer. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.

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Heterogeneous effects from interventions often remain hidden in between-group analyses, risking overgeneralized conclusions of treatment effects. In this exploratory study, we performed latent profile analysis to unveil differential treatment effects among children in The Incredible Years Teacher Classroom Management Programme (IY TCMP). This program has previously been shown to reduce behavioral problems in preschools and schools in total samples and subgroups. A total of 726 children (48.7% girls; Mage = 4.21 years; SDage = 0.86) from 92 childcare centers in Norway participated in either the intervention (n = 338) or the matched control condition (n = 388). First, by conducting latent profile analysis on baseline levels of child-teacher relationship (closeness, conflict), behavioral problems, and social competence, three distinct profiles were identified: High Risk (26.4%), Moderate Risk (42.8%), and Low Risk (30.7%) - each profile with unique characteristics. Second, we tested for within-profile, condition-by-time interactions following the intervention, showing distinct treatment responses for each profile. High-risk profiles profited most from the IY TCMP, with a substantial decrease in externalizing problems, more teacher closeness, and less teacher conflict. Moderate-risk profiles also gained better teacher-child relationships and improved social competence. The Low-Risk profiles showed no effects from the intervention. It is argued that latent profile analysis presents a feasible approach for examining within-sample heterogeneity in intervention research. It also reveals crucial information on treatment variability, as demonstrated in the Incredible Years Programme.

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BACKGROUND: There is limited research examining latent profiles of gamers based on emotional variables, which has implications for prevention efforts. The study sought to identify young adult gamer profiles based on depression, anxiety, and stress, and to examine differences between the latent profiles in other addictive behaviors (i.e., tobacco, alcohol, cannabis, illegal substance use, gaming, and gambling). METHODS: A total of 1209 young adults (Mage = 19.37, SD = 1.62; 55.3%males) reported past-year gaming. A latent profile analysis (LPA) was performed to identify distinct profiles, and a set of ANOVA and chi-square analyses characterized the profiles in terms of sociodemographic, addictive behaviors, and emotional variables. RESULTS: LPA suggested a three-profile solution: profile 1 (n = 660, 'low emotional distress'), profile 2 (n = 377, 'moderate emotional distress'), and profile 3 (n = 172, 'high emotional distress'). Participants with 'moderate' and 'high emotional distress' were mostly women, showed greater gaming severity, higher prevalence of past-month substance use (i.e., tobacco and illegal drugs), and greater consequences of alcohol use. LIMITATIONS: The cross-sectional nature of the study and sample being university students. CONCLUSION: Findings revealed three distinct profiles of gamers, which differed in emotional, gaming, and substance use severity. Transdiagnostic prevention programs have the potential to provide significant benefits to college students by addressing the core processes (e.g., emotion regulation) that underlie substance use and gaming.

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When individuals face life pressure or significant family changes, individuals with better family adaptation can better survive the crisis. Although the influencing factors of family adaptation have been investigated, the application of potential profile analysis has yet to be found. This analytical approach can reveal different potential categories of family adaptation, providing new perspectives for theoretical development and interventions. This study used latent profile analysis to explore family adaptation levels in breast cancer patients and identify different latent categories, examining their characteristic differences. A cross-sectional study was conducted in Jinzhou, China, from July 2023 to March 2024. The questionnaire included Sociodemographic and clinical characteristics, Benefit Finding Scale (BFS), Dyadic Coping Scale (DCI), Chinese Perceived Stress Scales (PSS), and Family adaptability and cohesion evaluation scales (FACES). Mplus8.3 and SPSS26.0 software were used for data analysis. The latent profile analysis (LPA) method was used to fit the family adaptations of breast cancer patients. Three latent categories of family adaptation were identified: low-level family adaptation (21.5%), medium level family adaptation (47.8%), and high-level family adaptation (30.6%). All 14 items with high levels of family adaptation scored higher than the other two groups. In particular, out of all the categories, item 9, "The idea of educating children is sound," scored highest. Compared with the low-level group, the influential factors of family adaptation in the high-level group were BFS, DCI, PSS, relapse and personal monthly income; The factors influencing family adaptation at the middle level are DCI, BFS, breast cancer type, family history of breast cancer, and personal monthly income. Compared with the medium level group, PSS and DCI were the influential factors of family adaptation in the high-level group. Family adaptation in breast cancer patients can be divided into three categories: low-level, medium-level, and high-level. There were significant differences among different categories of family adaptation levels in "personal monthly income", "family history of breast cancer", "type of breast cancer", "recurrence", "dyadic coping", "benefit finding", and "perception stress".

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OBJECTIVE: To investigate the current state of oral frailty in oldely patients with require dental implants, analyze influencing factors in the characteristics of oral frailty across different patient categories, and provide a reference for clinical staff to identify high-risk groups and develop proactive management strategies. METHODS: Between January 2024 and March 2024, 654 patients with dental implants were selected using convenience sampling from six secondary and tertiary stomatological hospitals in Jiangsu and Zhejiang provinces. Data were collected via a general information questionnaire and the Oral Frailty Index-8. The latent profiles of oral frailty were examined, and univariate and Logistic regression analyses were conducted to determine the impact of various factors on these profiles. RESULTS: In this cross-sectional study, 605 valid questionnaires were returned, yielding an effective rate of 92.58%. The mean oral frailty score was 6.64 ± 1.21, with the sample comprising 223 males and 382 females, averaging 72.54 ± 6.33 years old. Oral frailty was categorized into three latent profiles: high (20.50%), moderate (53.72%), and low (25.78%) frailty groups. Factor analysis indicated that age, gender, education level, family income, number of implants, and dyslipidemia significantly predicted the classification of these profiles (P < 0.05). CONCLUSION: Oral frailty in oldely patients with dental implants exhibits heterogeneity and is influenced by age, sex, education level, family income, number of implants, and dyslipidemia. Clinical staff should recognize the characteristics of different patient categories and implement proactive measures for those at high risk of oral frailty to enhance their quality of life.

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BACKGROUND: The psychosocial impact of dental aesthetics (PIDA) has a significant effect on well-being and quality of life. This study aimed to explore the latent heterogeneous classes of the PIDA among adolescents and investigate the relationships among identified subtypes and sociodemographic variables, the status of left-behind children, and the clinical manifestations of malocclusion. METHODS: A cross-sectional study on the PIDA among 1451 adolescents aged 11 to 12 years in elementary schools in a rural area in Guangxi, China, was conducted. The PIDA on adolescents was also investigated via latent profile analysis; each predictor was tested via ordinal logistic regression. RESULTS: Three latent classes for the PIDA were identified: low-risk (48.2%), medium-risk (39.8%), and high-risk (11.9%) groups. There were significant differences among the three latent classes. The results revealed that being female, The duration of maternal employment outside the hometown, the largest anterior maxillary irregularity, the largest anterior mandibular irregularity, and the antero-posterior molar relationship (ORs of 1.737, 1.138, 1.117, 1.157, and OR = 1.242; P < 0.001, < 0.01, < 0.01, < 0.01 and < 0.05, respectively) had significant effects on the PIDA on adolescents. CONCLUSIONS: The occlusal features, being female and the duration of maternal employment outside the hometown are risk factors that influence the PIDA on adolescents. This provides an evidence for improving the PIDA status among rural adolescents.

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The present study investigated burnout among esports players and its association with mental toughness and resilience. Esports players (N = 453; Mage = 23.0, SD = 4.18; in the top 40% of in-game rank) from seven team-based esports completed the Athlete Burnout Scale (ABO-S), Mental Toughness Questionnaire 18 (MTQ-18), and the Connor-Davidson Resilience Scale (CD-RISC-10). Latent profile analysis identified three distinct burnout profiles: "low burnout risk" (LBR; 33.8%), "medium burnout risk" (MBR; 28.0%), and "high burnout risk" (HBR; 38.3%). Low burnout profiles were associated with higher mental toughness and resilience. The LBR profile was characterized by low levels of reduced accomplishment (RA), physical exhaustion (PE), and negative feelings (NF), while [MBR and HBR reported similar PE and NF scores but] differed in RA, with HBR showing the highest RA and total burnout. This study is the first to show distinct burnout profiles among esports players, indicating a significant prevalence of burnout symptoms. This should be monitored by both players and support staff (e.g. club managers, programme managers, and high-performance support staff). Additionally, mental toughness and resilience appear to play a protective role against burnout.

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BACKGROUND: Promoting older workers' health in the context of increasing labor force participation and skill shortages is crucial. Examining job resource profiles offers a promising approach to understanding how to promote and maintain the health of older workers within the workplace. However, it is unclear how different job resources interact within distinct worker subgroups. Thus, this study explores the association between the job resource profiles of distinct subgroups and various health indicators among older workers in Europe. METHODS: Data from 4,079 older workers (age range: 50-60 years, 57% female) from waves 6 and 8 of the Survey of Health, Ageing and Retirement in Europe (SHARE) were analyzed. Latent profile analysis was employed to identify distinct job resource profiles using social support, recognition, job promotion, autonomy, and development opportunities. Associations between these profiles and various health indicators were examined, alongside the sociodemographic and socioeconomic characteristics associated with each profile. RESULTS: Four distinct job resource profiles emerged: (I) average job resource workers (n = 2170, 53%), (II) high social job resource workers (n = 983, 24%), (III) low job resource workers (n = 538, 13%), and (IV) autonomous decision-making workers (n = 388, 10%). Workers in the (II) high social job resource profile had the highest socioeconomic status and reported the best self-perceived health, lowest depressive symptoms, and fewest limitations and chronic diseases. Conversely, workers in the (III) low job resource profile had the second-lowest socioeconomic status and reported the poorest health outcomes. Surprisingly, older workers with high autonomy (profile IV) had the lowest socioeconomic status and the second worst self-perceived health. This may be because they perceive themselves as autonomous while lacking support and recognition. CONCLUSION: There is wide variation in the level and composition of resources available to older workers in the workplace. The most vulnerable subgroups, such as low job resource workers (profile III) and autonomous decision-making workers (profile IV), could benefit from tailored workplace health promotion interventions, such as support from supervisors or peers. Strengthening older workers' job resources, including social support and recognition, can improve their health and contribute to them remaining in the workforce.

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Non-suicidal self-injury (NSSI) among adolescents continues to be a significant public health concern worldwide. A recent systematic review and meta-analysis found that the global prevalence of NSSI in adolescents aged 12-18 years was 17.2%, with higher rates reported among females (19.7%) than males (14.8%). This behavior has been linked to several negative outcomes, such as depression, anxiety, substance abuse, and suicidal ideation. The present study aimed to classify adolescents based on intrapersonal and interpersonal factors associated with NSSI proposed in Nock's (2009) integrated model of NSSI, to identify distinct clusters targeting specific risk factors. This encompassed negative cognition, emotional vulnerability, poor coping skill, peer-victimization, family adaptability, and perceived stress. A total of 881 adolescents aged 11-16 years in South Korea completed self-reported questionnaires on automatic thoughts, depression, emotional regulation, peer victimization, family adaptability and perceived stress. Latent profile analysis (LPA) revealed three distinct classes: "the severe group", "the moderate group", "the mild group". Class 3 ("severe group": N = 127) exhibited greater severity related to NSSI, including negative cognition, emotional vulnerability, poor coping skills, peer victimization, and perceived stress, with weaker levels of factors that can prevent NSSI compared to class 1 ("mild group": N = 416) and class 2 ("moderated group": N = 338). The present study emphasizes the importance of considering both intrapersonal (e.g., negative automatic thoughts & emotional dysregulation) and interpersonal factors (i.e., peer victimization) when understanding NSSI - among adolescents. These findings can be utilized to develop interventions aimed at reducing the prevalence and severity of NSSI among adolescents.

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Background: Firefighters face regular exposure to potentially traumatic events, which is associated with the development of post-traumatic stress disorder (PTSD) and depression. Despite the high comorbidity, there remains limited understanding of the co-occurrence of PTSD and depression in terms of symptom patterns. Due to the unique stressors added by the COVID-19 pandemic, it is relevant to also understand this comorbidity in light of the impact of the COVID-19 pandemic.Objective: This study aimed to identify PTSD and depression symptom profiles in firefighters, and correlates thereof, using latent profile analysis (LPA).Method: 139 Dutch Firefighters (93% male) completed self-report surveys prior to the COVID-19 pandemic (T1) and after the outbreak COVID-19 pandemic (T2) on PTSD, depression, COVID-19 related stressors and other relevant correlates.Results: LPA demonstrated the best fit for a three-profile solution for PTSD and depression at T2 encompassing a low symptom profile (35%), a moderate symptom profile (46%), and an elevated symptom profile (19%). Profiles displayed mostly below clinical range scores for both PTSD and depression at T2. PTSD severity at T1, depression severity at T1, loneliness at T2, COVID-19-related stressors at T2 were significantly and positively related to PTSD and depression symptom profiles at T2.Conclusion: Our results shed light on the resilience of firefighters. Even in light of COVID-19 pandemic, firefighters seemed to maintain generally low levels of psychopathology. Despite firefighters' overall resilience, our findings highlight loneliness and the negative impact of the COVID-19 pandemic as potential risk factors for increased severity of PTSD and depression symptoms.

Three symptom profiles of PTSD and depression emerged in a sample of Dutch firefighters.Firefighters displayed mostly below clinical threshold PTSD and depression levels, emphasizing their resilience.Loneliness and COVID-19 stressors were identified as potential risk factors for PTSD and depression symptoms in firefighters.

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BACKGROUND: The global population is aging rapidly, leading to an increase in the prevalence of cardiometabolic multimorbidity (CMM). This study aims to investigate the association between dietary patterns and CMM among Chinese rural older adults. METHODS: The sample was selected using a multi-stage cluster random sampling method and a total of 3331 rural older adults were ultimately included. Multivariate logistic regression analysis was used to examine the association between the latent dietary patterns and CMM. RESULTS: The prevalence of CMM among rural older adults was 44.64%. This study identified four potential categories: "Low Consumption of All Foods Dietary Pattern (C1)", "High Dairy, Egg, and Red Meat Consumption, Low Vegetable and High-Salt Consumption Dietary Pattern (C2)", "High Egg, Vegetable, and Grain Consumption, Low Dairy and White Meat Consumption Dietary Pattern (C3)" and "High Meat and Fish Consumption, Low Dairy and High-Salt Consumption Dietary Pattern (C4)". Individuals with a C3 dietary pattern (OR, 0.80; 95% CI, 0.66-0.98; p = 0.028) and a C4 dietary pattern (OR, 0.70; 95% CI, 0.51-0.97; p = 0.034) significantly reduced the prevalence of CMM compared with the C1 dietary pattern. CONCLUSIONS: Rural older adults have diverse dietary patterns, and healthy dietary patterns may reduce the risk of CMM.

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Although insomnia symptoms is a common public health issue, few studies pay attention to insomnia symptoms among emerging workers in the digital economy. In this study, a total of 1093 emerging workers were recruited. Latent profile analysis was used to investigate the heterogeneity profiles and the relationship between job characteristics and these profiles. Additionally, core symptoms of insomnia were explored through network analysis. Latent profile analysis identified four insomnia profiles: severe insomnia without daytime dysfunction (8.8%), good sleepers (39.6%), mild insomnia (41.7%), and moderate to severe insomnia (9.9%). Job characteristics (e.g. daily working duration, intensity, and performance measurement system) significantly affected the profiles. Network analysis revealed that four profiles had similar network structures, but the edge and strength were varied. The implication for preventing and intervening insomnia symptoms for emerging workers in the digital economy has been discussed.

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This study identified psychological profiles based on depressive symptoms, anxiety symptoms, positive affect, and posttraumatic growth in 298 patients receiving maintenance dialysis, and examined their relationships with self-management at baseline and 1-year follow-up. Five psychological response profiles were identified: well-being (42.95%), resilient (26.17%), moderate-distress-with-growth (17.79%), distressed (11.07%), and high-distress-with-growth (2.01%). Patients were more likely to be in the distressed profile if they were younger, had less social support, received peritoneal dialysis, and suffered from a greater symptom burden of kidney disease. The well-being profile showed better self-management behavior at baseline and 1-year follow-up. The distressed profile was associated with worse self-management at baseline and the resilient profile was associated with worse self-management at follow-up. The findings highlighted the beneficial role of positive psychological constructs in promoting self-management behavior, which implied that beyond eliminating psychological distress, it is important to facilitate positive psychological well-being.

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Background: The widespread exposure to plastic products and the increasing number of individuals with cognitive impairments have imposed a heavy burden on society. Objective: This study aims to investigate the relationship between plastic product exposure in daily life and cognitive function in older Chinese individuals. Methods: Data were obtained from the 2023 Ningxia Older Psychological Health Cohort, comprising 4045 participants aged 60 and above. Cognitive function was assessed using the Mini-Mental State Examination scale. A population-based plastic exposure questionnaire was used to calculate plastic exposure scores (PES). Binary logistic regression was employed to analyze the relationship between PES and cognitive function, while restricted cubic splines were used to examine the dose-response relationship between PES and cognitive function. Latent profile analysis (LPA) was employed to explore the potential patterns of plastic exposure, and logistic regression was used to investigate the relationship between different exposure patterns and cognitive function. A linear regression model was utilized to investigate the relationship between PES and different dimensions of cognitive function. Results: Among the 4045 participants, 1915 individuals were assessed with mild cognitive impairment (MCI). After adjusting for all covariates, PES (OR = 1.04, 95% CI 1.02-1.06) was significantly associated with the risk of MCI and exhibited a dose-response relationship. LPA identified two potential categories of plastic exposure, with a higher risk of MCI observed in the group using plastic utensils. Conclusions: This study indicates a positive correlation between plastic exposure levels and MCI risk, particularly among individuals who frequently use plastic tableware.