Instruments used to measure well-being, ill-being, and health-related life-style behaviors in college students attending Italian universities: a scientific evaluation

Information sources and search technique

This systematic evaluation was carried out following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline (272).

The article search was carried out on 5 educational databases, particularly Scopus, APA PsycInfo, PubMed, Education Resources Information Center (ERIC), and Web of Science. Studies have been included if revealed from 2010 as much as the date of the search (November 2024), to detect a broad image of the instruments used for the reason that widespread diffusion of smartphones amongst younger folks (273). The choice was restricted to peer-reviewed articles written in English or Italian. Only scientific papers have been included; subsequently, editorials, letters, stories, and books have been excluded, in addition to gray literature. For Scopus and Web of Science, the filters “article” and “review” have been flagged. Search strings have been composed as follows: key phrases for college, the phrase “student*,” phrases for the constructs of curiosity (well-being, ill-being, health-related life-style behaviors), and key phrases indicating measures (e.g., questionnaire*). We adjusted the syntax to suit the specificities of every database. Full search syntaxes can be found in Supplementary material 1.

Eligibility

The inclusion standards selection was knowledgeable by the PICO framework. However, given the descriptive purpose of the current evaluation, PICO was used solely as a guiding construction for outlining eligibility standards slightly than as a framework for formulating intervention-focused analysis questions or evaluating effectiveness. For this motive, the mannequin was tailored to higher tailor the exploratory nature of the targets. Specifically, to make sure the protection of the search course of, no comparators have been outlined, and outcomes have been broadly conceptualized to seize the vary of constructs and measurement instruments used to evaluate well-being, ill-being, and health-related life-style behaviors amongst college college students in Italy. This is according to literature concerning the adaptation of PICO in evaluations (44, 45).

Population:

• University college students as the principle matter of the examine

• The pattern doesn’t embody pathological subpopulations

• Italy is the nation or one of many nations through which the examine was carried out

Intervention:

Comparator: This examine didn’t discover particular comparators.

Outcome:

• The end result variables needed to be about well-being, ill-being, and health-related life-style behaviors

• Studies concerning the psychometric analysis or the interpretation of a measurement scale have been excluded

• Studies in regards to the efficacy of interventions have been excluded

Study choice, information extraction, and information evaluation

The screening course of was carried out utilizing the digital software “Rayyan” (274).

The outcomes from the completely different educational database searches have been mixed, and duplicates have been eradicated. To guarantee a constant utility of the eligibility standards, two authors (VB and JG) independently examined the contributions. These authors first screened the articles by titles and abstracts. Additional information have been recognized by way of bibliographical references of chosen papers. After these phases, the remaining articles have been absolutely learn. During all the choice steps, disagreements have been resolved by dialogue to discover a consensus with a 3rd reviewer (VV).

A structured information extraction process was carried out for every article included within the evaluation. For every article, we collected data concerning the examine and pattern traits (dimension and representativeness of the pattern, gender distribution and subpopulation, nation and interval of knowledge assortment), the devices used to evaluate health-related outcomes, and the variables related to these outcomes.

Health-related outcomes have been grouped into three primary classes: (1) psychological well-being and ill-being, (2) lifestyle-related behaviors, and (3) perceived well being standing. Determinants have been organized into 4 primary domains: (1) sociodemographic traits, (2) particular person elements, (3) relational or contextual elements, and (4) COVID-19-specific variables.

Descriptive analyses have been carried out to find out the presence and variety of measurement devices throughout the reviewed literature. We calculated the variety of distinct devices used for every end result and related variable, the share of validated devices, and the proportion of research that included at the least one software. In addition, we recognized devices particularly developed or tailored to be used within the college scholar inhabitants. To guarantee a constant classification and dependable calculations, this course of was carried out by two authors (JG and MG) independently. In the occasion of inconsistencies, the outcomes have been mentioned till settlement was reached.

Risk of bias and methodological high quality

The purpose of this evaluation was to map the size and measurement devices used to evaluate well-being, ill-being, and health-related life-style behaviors, in addition to associated threat and protecting elements, amongst college college students in Italy. Given this descriptive deal with measurement practices, a full threat of bias evaluation was not undertaken.

However, to offer a methodological context for the interpretation of the findings, we carried out a simplified high quality appraisal based mostly on chosen standards tailored from JBI Critical Appraisal Checklist for Analytical Cross-Sectional Studies (46). This appraisal centered on methodological traits related to the use and reporting of measurement devices slightly than on inside validity or causal inference.

Specifically, the next elements have been examined: examine design (cross-sectional vs. longitudinal); pattern representativeness (probabilistic/random sampling, non-probabilistic sampling with inhabitants reference data, or no data reported); reporting of fundamental pattern traits (at the least one amongst gender, age, or course of examine); use of at the least one validated measurement scale for outcomes (well-being, ill-being, or lifestyle-related behaviors) or for threat and protecting elements; and sort of statistical analyses carried out (descriptive solely vs. descriptive and inferential).

With regard to review design, nearly all of the included research adopted a cross-sectional design (N = 204; 91.5%) and a minority employed longitudinal approaches (N = 19; 8.5%).

Only a restricted variety of research reported data on pattern representativeness. Specifically, 1.8% of the included research employed probabilistic or randomized sampling strategies (N = 4), whereas 10.8% used non-probabilistic samples however offered inhabitants reference data (N = 24). The overwhelming majority of research (87.4%; N = 195) didn’t report enough data to evaluate pattern representativeness.

All included research (N = 223) reported at the least one fundamental pattern attribute, akin to gender, age, or course of examine.

Regarding measurement high quality, most research employed at the least one validated instrument to evaluate both outcomes or threat and protecting elements. Specifically, 87.4% of the research (N = 195) used at the least one validated scale, whereas 12.6% (N = 28) didn’t use validated devices for all measured constructs. Among these latter research, the bulk centered on lifestyle-related outcomes (N = 26), whereas solely two assessed well-being or ill-being.

Finally, with respect to information evaluation, 98.2% of research (N = 219) carried out inferential analyses along with descriptive statistics, whereas only one.8% (N = 4) relied completely on descriptive analyses.

Overall, these findings spotlight essential methodological limitations, significantly concerning pattern representativeness and the predominance of cross-sectional designs. Nevertheless, nearly all of research adhered to the opposite methodological standards, which needs to be stored in thoughts when decoding the distribution and use of devices recognized on this evaluation.

Full references for every examine similar to the methodological high quality are offered in Supplementary material 2.

Psychological well-being and ill-being

Table 3 offers a quantitative abstract of the devices used, categorized by end result sort (well-being, ill-being, or each). The desk consists of the variety of articles through which at the least one instrument was utilized, the overall variety of instruments of every end result, the proportion of validated devices, the variety of distinct instruments after merging completely different variations of the identical scale (e.g., quick variations), and the subset of devices particularly developed or tailored for the college scholar inhabitants.

Across the 223 articles included within the evaluation, a complete of 159 distinct devices have been used to evaluate psychological well-being and ill-being (148 when completely different variations of the identical instrument have been merged).

The reviewed literature reveals a marked predominance of papers geared toward assessing psychological misery and ill-being, whereas articles focusing particularly on optimistic well-being are comparatively scarce. Of the 223 reviewed articles, 178 assessed outcomes associated to well-being and/or ill-being. Among these, 66.3% included measures of ill-being completely, whereas a smaller proportion centered completely on well-being (7.9%) or on each well-being and ill-being (25.8%).

Similarly, when contemplating the distinct devices recognized, the bulk focused ill-being (74.2%), whereas 17.6% assessed well-being and eight.2% addressed each. The majority of scales have been oriented towards unfavorable psychological states, together with despair, anxiousness, stress, and burnout. Some devices offered a common evaluation of psychological discomfort, whereas others centered on particular symptom dimensions or scientific markers.

Among the devices used to evaluate ill-being, a number of centered instantly on problematic well being behaviors. These included instruments measuring substance abuse and dependence, disordered consuming, and sleep issues. Such devices have been designed to detect maladaptive health-related behaviors as expressions of psychological ill-being.

Positive-oriented scales primarily deal with constructs akin to life satisfaction, flourishing, and common high quality of life, however their illustration throughout research is restricted in comparison with measures of misery. Furthermore, only some research employed devices that take into account each optimistic and unfavorable elements of psychological well being inside the similar framework.

Most of the devices (>80%) used throughout the research have been validated, thus representing an excellent stage of accuracy in measuring well being outcomes.

Overall, simply 13.8% of the 159 whole devices have been particularly tailor-made to the college scholar inhabitants. Among these devices particularly designed for the college context, 14 centered on ill-being, 8 on well-being, and none assessed each.

Table 4 features a listing of essentially the most steadily employed devices, categorized by the character of the assemble assessed and sorted decreasingly by frequency of use. The desk stories names of the devices, the variety of articles through which every software seems, and the variety of objects for every instrument.

Lifestyles

Table 5 summarizes, for every life-style area—bodily well being habits, substance-related behaviors, and leisure and social behaviors—and their respective subdomains, the variety of articles through which at the least one software was used, the variety of devices recognized, and the share of validated devices.

Several included papers investigated college college students’ existence. Among the 223 included articles, 106 assessed at the least one life-style issue (47.5% of the overall pattern). The reviewed research revealed a better emphasis on bodily well being habits (e.g., sleep high quality, bodily exercise, and consuming habits), which have been essentially the most steadily assessed behaviors (48% of the 223 articles). The second most investigated class was consumption-related behaviors (alcohol consumption, hashish and different drug use, tobacco use, and consumption of dietary supplements or drugs), which have been investigated in 41.3% of the papers. To a a lot lesser extent, leisure-related actions have been analyzed in 9% papers; this class included media use, leisure actions, and sexuality, which are typically much less systematically evaluated. The same sample emerged when contemplating the overall variety of existence’ devices recognized (154 completely different devices): 44.2% measured bodily well being behaviors, 39.6% focused consumption-related behaviors, and solely 16.2% centered on leisure actions. Most of the devices recognized within the reviewed research centered on the measurement of a single life-style area. Only two instruments have been designed to evaluate a number of life-style behaviors in an built-in method. Moreover, no devices have been discovered that particularly addressed life-style habits within the context of college scholar life.

Lifestyle-related behaviors have been typically assessed by way of separate indicators, slightly than by way of complete or multidimensional instruments. In nearly all of circumstances, information on life-style have been collected utilizing advert hoc questionnaires, self-constructed objects, or variations of present instruments, slightly than by way of standardized or validated devices. Only a really restricted variety of validated instruments (14.2%) have been used throughout the research, indicating an absence of consistency and comparability within the evaluation of scholar life-style elements.

Table 6 summarizes essentially the most steadily used devices for every lifestyle-related habits, reporting the variety of articles through which every software seems and the variety of objects for every instrument.

Perceived well being standing

Perceived general well being represents a worldwide and subjective evaluation of 1’s bodily and psychological situation. Despite its relevance as a common indicator of well being standing, this end result is measured sporadically inside the reviewed literature. Of the 223 papers reviewed, solely 8.5% included at the least one instrument addressing this dimension.

A complete of seven completely different instruments have been recognized, none of which have been validated. In most circumstances, well being notion was assessed utilizing a single-item query, usually formulated as “How would you perceive your overall health?”, with response choices akin to low, medium, or excessive. Only one examine employed the standardized and WHO-recommended model of this merchandise: “How is your health in general?”.

This restricted and non-standardized use of instruments means that, though world well being notion might function a helpful integrative measure of well-being, it stays an underutilized and inconsistently assessed assemble in analysis on college college students.

Socio-demographic traits

Socio-demographic variables have been also used throughout the reviewed literature. In truth, 71.7% of research included sociodemographic variables. The devices reported have been categorized into a number of key domains.

The Biological and Personal area encompasses traits akin to gender (current in 56.5% of the articles), age (40.4%), and physique mass index (BMI) (13.9%). Less steadily assessed variables on this class embody nation of origin and nationality, every reported in 2.7% of the research.

The Residential Status area consists of variables associated to residing preparations, akin to residing with household, residing away from house, or on−/off-campus housing, which have been reported in 9.9% of the research. More particular elements, together with residing situations, cohabitation standing, and household atmosphere, have been thought of in 3.1% of the research, whereas regional or native residence was assessed in 4.0%. Within the Economic and Financial area, perceived financial standing (categorized as low, medium, or excessive) was reported in 8.1% of the articles.

The Family Context area usually included variables akin to mother and father’ instructional ranges or {qualifications}, which have been measured in 6.3% of the research.

Regarding the Relationship Status area, marital or relationship standing was reported in 10.3% of the research, whereas sexual orientation was talked about in 2.2%.

Some socio-demographic variables have been much less generally investigated, together with Medical History and Conditions, Religious Beliefs, and some common or unspecified socio-demographic elements, with just one article together with the latter.

Finally, particular university-related variables have been additionally examined, highlighting the contextual significance of educational elements. This included diploma course or sort (7.2%), 12 months of examine (13.9%), educational self-discipline or subject (7.6%), college nation (5.4%), and whether or not college students have been working alongside their research (6.3%).

Aggregated information on sociodemographic variables are offered in Table 7. The desk stories the variety of research through which at the least one variable was measured, the overall variety of devices used, and the share of validated devices.

Individual-level variables

Individual-level variables signify a broad and multifaceted class of predictors, encompassing a variety of private traits, assets, vulnerabilities, and experiences. In this evaluation, these variables have been organized into 5 primary subdomains: (1) persona traits and traits, (2) private assets and expertise, (3) university-specific particular person variables, (4) well being situations and vulnerabilities, and (5) future views.

The information confirmed that Personality Traits and Characteristics appeared most steadily, being reported in 17.9% of the research, adopted by Personal Resources and Skills, which have been measured in 15.7% of the papers. University-Specific Individual Variables have been assessed in 14.3% of the research, whereas Health Conditions and Vulnerabilities have been examined in 5.8%. Lastly, Future Perspectives have been explored in solely 3.1% of the research.

Regarding the overall variety of distinct devices recognized (N = 130), 20.8% measured Personality Traits, 31.5% centered on Personal Resources and Skills, and 33% assessed University-Specific Individual Variables. In distinction, solely 8.5% measured Health Conditions, and simply 6.2% addressed Future Perspectives.

The first group referred to secure or semi-stable particular person traits akin to persona traits, attachment types, and, in some circumstances, persona issues. These traits usually function underlying predispositions that may both improve vulnerability or supply safety within the face of educational and life stressors. Notably, 92.6% of the devices used to evaluate these traits have been validated.

The second class centered on private assets and adaptive expertise, together with constructs akin to self-efficacy, coping methods, resilience, shallowness, well being literacy, and varied different assets, and data and beliefs about well being and local weather. These have been usually conceptualized as particular person strengths however may mirror an individual’s capability to work together successfully with their atmosphere. Importantly, 78% of the devices used to measure these constructs have been validated.

The third group included university-specific particular person variables, with domains akin to educational self-regulation, study-related expertise and behaviors, efficiency perceptions, and private beliefs associated to educational life. Of the devices used to evaluate these variables, 48.8% have been validated.

The fourth class included each bodily and psychological/psychiatric situations which will affect college students’ well-being. Among essentially the most steadily reported are somatic signs with psychological elements, akin to complications, gastrointestinal issues, and musculoskeletal points, alongside scientific or subclinical psychological issues. In this class, no single instrument emerged as predominant, and the instruments used have been usually single, non-validated objects.

Finally, future views—particularly these associated to educational and occupational outcomes— have been explored each of their protecting (e.g., ambition, motivation) and risk-oriented (e.g., anxiousness, uncertainty) dimensions. Although no single instrument emerged as dominant throughout research, all devices recognized inside this area have been validated, indicating a restricted but heterogeneous evaluation of this space.

The information on particular person variables, together with the particular sub-variables and their respective constructs, are offered in Table 7.

Relational and contextual variables

Relational and contextual variables consult with the broader social environments through which college students are embedded and the standard of the relationships they keep. In the included research, these variables have been operationalized basically life context elements by way of constructs akin to household relationships, social assist, social capital, and stigma; university-specific elements together with relationships with friends and professors, perceptions of educational local weather, and studying context; and demand for psychological and medical assist.

A restricted variety of devices have been recognized to evaluate these constructs. Variables associated to the overall life context, akin to household relationships, social assist, and social capital, have been measured in comparatively few research (10.3%), usually using heterogeneous instruments. University-specific relational dimensions, akin to interactions with friends and college members or perceptions of the tutorial atmosphere, have been addressed in a small subset of research (4%), with restricted standardization of measurement instruments. Finally, variables in regards to the demand for psychological and medical assist, together with help-seeking behaviors, use of counseling companies, and entry to psychiatric care, have been explored in roughly 4.5% of the research. In most circumstances, these variables have been assessed utilizing easy, non-standardized measures, steadily based mostly on single dichotomous objects (e.g., sure/no questions).

Regarding the overall variety of distinct devices recognized (N = 53), 45.3% measured common life context variables, of which 66.7% have been validated devices, 35.8% assessed psychological and medical assist variables, none of which have been validated, and 18.9% measured university-specific relational dimensions, with 70% of those devices being validated.

Overall, the variety of research and instruments recognized on this class was noticeably decrease in comparison with these focusing on individual-level variables. The information associated to relational and contextual variables, together with constructs and sub-variables, are offered in Table 7.

COVID-19-specific elements

In whole, 13.9% of the research investigated constructs particularly associated to the COVID-19 context inside college settings. These variables have been various and clustered into 5 primary domains: behaviors (e.g., protecting actions, well being habits), beliefs and data (e.g., perceived severity, misinformation), lively involvement (e.g., educational engagement throughout lockdowns), misery or psychological discomfort (e.g., anxiousness, worry, uncertainty), and university-specific stressors (e.g., stress associated to on-line studying or institutional adjustments).

Across these research, 57 completely different measurement instruments have been used. However, the overwhelming majority consisted of single-item or advert hoc devices with restricted psychometric validation. Only 17.5% of those devices have been recognized as beforehand validated or psychometrically examined.

This heterogeneity in measurement approaches displays each the novelty of the context and the urgency with which researchers sought to seize quickly evolving experiences through the well being disaster. However, it additionally highlights the necessity for extra standardized and validated instruments to make sure comparability and methodological rigor in future research.

The aggregated information associated to COVID-19-specific elements are offered in Table 7.

Exploratory analyses: temporal tendencies and examine scope

As a further set of exploratory analyses, temporal tendencies have been first examined throughout the pre-COVID, during-COVID, and post-COVID durations. For this evaluation, 158 articles have been included, contemplating these research that assessed outcomes associated to well-being and/or ill-being and the interval of knowledge assortment could possibly be categorized in response to the COVID-19 pandemic timeline. Pre-COVID research measured completely unfavorable outcomes in 69.1% of circumstances, each optimistic and unfavorable outcomes in 20.2%, and solely optimistic outcomes in 10.7%. During COVID, 58.5% centered on unfavorable outcomes, 35.4% on each, and 6.1% on optimistic outcomes completely. Notably, post-COVID research assessed completely unfavorable outcomes (100%), with just one examine using devices assessing relational and contextual elements. Overall, a secure development was noticed over time, with research constantly emphasizing unfavorable outcomes over optimistic or combined outcomes and primarily specializing in individual-level elements slightly than relational or contextual elements. Given the restricted variety of post-COVID research (N = 12, in contrast with 109 pre-COVID and 80 throughout COVID), these tendencies needs to be interpreted with warning.

Additionally, the 24 multinational research have been examined. Instruments measuring unfavorable outcomes and individual-level elements predominated, whereas devices assessing optimistic or combined outcomes and relational or contextual elements have been used much less steadily. Among the multinational research, 60% used devices measuring solely unfavorable outcomes (ill-being), 10% used devices measuring solely optimistic outcomes (well-being), and 30% used devices measuring each optimistic and unfavorable outcomes. COVID-specific devices appeared through the pandemic however have been uncommon (N = 2). In whole, the research employed 24 completely different devices measuring unfavorable outcomes, 5 measuring optimistic outcomes, and three measuring combined outcomes, highlighting using various devices throughout research, with a number of research utilizing a number of devices to evaluate completely different dimensions of well-being and ill-being. Across these research, nearly all end result devices have been validated (22 of 24), with the 2 exceptions assessing life-style outcomes slightly than well-being.

Taken collectively, these exploratory analyses point out secure and constant measurement practices throughout time and examine scope, highlighting the predominant deal with devices measuring unfavorable outcomes and individual-level elements within the literature on college college students’ well-being.

Fragmentation and dispersion of measures

The general image that emerged from this evaluation is considered one of important heterogeneity and fragmentation in measurement practices. All kinds of constructs have been assessed utilizing a lot of instruments, a lot of that are non-validated, developed advert hoc, or tailored with out formal testing.

This dispersion of devices, as famous by Dodd et al. (38), poses a number of challenges. It limits comparability throughout research, hampers the buildup of proof, and complicates meta-analytical efforts. Moreover, using unvalidated or poorly documented measures reduces the reliability and validity of findings, rising the danger of methodological bias.

These findings counsel a necessity for better standardization in analysis on scholar well being, probably by way of collaborative initiatives geared toward figuring out core end result units or shared measurement frameworks. Establishing a shared set of core devices would facilitate extra significant cross-study comparisons and strengthen the relevance of analysis findings for informing well being and training coverage. Within the “PRO-BEN” challenge, a current initiative on college scholar well-being funded by the Italian Ministry of University and Research (MUR), as an illustration, there is a chance to advertise harmonization of instruments throughout research and establishments, fostering cumulative data and extra constant practices.

Importantly, the heterogeneity noticed in using a number of devices to evaluate comparable outcomes just isn’t distinctive to Italy. Exploratory analyses of 24 multinational research revealed a comparable sample of measurement fragmentation, confirming that that is a global phenomenon. However, 22 of those research used validated devices to evaluate well-being, ill-being, or life-style outcomes, suggesting the next methodological rigor in end result evaluation on the worldwide stage in comparison with the Italian context.

Predominance of a pathogenic method and restricted holistic evaluation

One of essentially the most salient findings of this evaluation aligns with worldwide proof suggesting that analysis on college college students’ psychological well being continues to be largely dominated by a pathogenic paradigm (23, 25). The majority of the research included within the current evaluation centered on psychological misery, significantly despair, anxiousness, and stress, utilizing validated devices initially developed for common inhabitants samples. Conversely, instruments assessing optimistic elements of psychological well being, akin to life satisfaction, flourishing, and general psychological well-being, have been considerably much less frequent.

Furthermore, only a few devices concurrently measured each well-being and ill-being, highlighting a persisting conceptual divide between optimistic and unfavorable psychological well being dimensions. This hole mirrors the historic conflation of psychological well being with psychological sickness, as beforehand critiqued within the literature (23, 24) and underscores the underrepresentation of salutogenic approaches in scholar psychological well being analysis. These findings align with the UK scoping evaluation by Dodd et al. (38), which reported inconsistencies in defining and measuring college scholar well-being and a predominant deal with subjective experiences. They additionally mirror the broader worldwide literature’s emphasis on pathogenic approaches to psychological well being (25), supporting the worldwide generalizability of our outcomes and the necessity for extra integrative approaches assessing each well-being and ill-being.

In quantitative phrases, among the many 223 reviewed articles, 178 assessed outcomes associated to well-being and/or ill-being. Among these, 66.3% included measures completely of ill-being, whereas smaller proportions centered completely on well-being (7.9%) or on each well-being and ill-being (25.8%). This sample is mirrored within the measurement instruments themselves: 74.2% of the devices recognized have been designed to evaluate ill-being, 17.6% focused well-being, and solely 8.2% addressed each dimensions.

Importantly, the predominant deal with ill-being noticed in Italian research displays a broader worldwide sample. Exploratory analyses of the 24 multinational research included on this evaluation confirmed an identical development.

Finally, it’s price noting that constructs akin to perceived well being standing have been assessed solely sporadically and infrequently by way of non-validated devices. This highlights a persisting issue in capturing scholar well being comprehensively and holistically, reflecting limitations within the conceptualization of general well being in present analysis. These gaps additional underscore the necessity for future research to develop and undertake systematic, validated instruments for assessing college students’ well being in a complete method.

Lifestyle behaviors: a fragmented, health-oriented imaginative and prescient

Lifestyle behaviors have been one other core focus of the evaluation, but the findings revealed a fragmented method. This fragmentation seems to be largely because of the extensive number of devices employed to measure life-style elements, together with many advert hoc instruments. To improve better homogeneity, future analysis may gain advantage from adopting instruments from internationally acknowledged monitoring surveys.

Moreover, the literature seems to prioritize behaviors with a direct or perceived hyperlink to ill-being or well being threat, akin to alcohol and substance abuse, sleep issues, disordered consuming, and extreme smartphone use. These behaviors are sometimes framed inside a health-risk paradigm, mirroring medical or scientific considerations greater than life-style patterns formed by social, psychological, or environmental influences (27, 31).

This slender and pathology-driven lens can restrict our understanding of life-style as a dynamic and contextual facet of scholars’ on a regular basis lives. For instance, dimensions akin to leisure actions, sexual well being, social relationships, and digital media use are both neglected or measured by way of non-standardized, advert hoc objects (17, 25, 26).

Imbalance between particular person and contextual predictors

In the evaluation of predictors related to well being outcomes, the evaluation discovered a big imbalance between individual-level and relational or contextual-level elements. Among the research reviewed, greater than 70% centered on individual-level predictors, akin to persona traits, emotional regulation, coping expertise, or psychological vulnerabilities, whereas solely 25% included relational or contextual variables, akin to household assist, peer relationships, college local weather, or educational atmosphere. Notably, exploratory analyses of multinational research included on this evaluation revealed an identical sample: devices measuring individual-level elements predominated, whereas relational/contextual elements have been much less steadily assessed, suggesting that this imbalance is constant past the Italian context.

While particular person elements are undoubtedly essential, an overreliance on them might result in an extreme emphasis on private duty and a neglect of structural and contextual influences on scholar well being. While acknowledging the relevance of particular person elements, it’s essential to additionally embrace broader social, relational, and contextual dimensions from an interdisciplinary perspective (47). Moreover, relational and contextual variables have been usually measured with fewer instruments, steadily missing standardization, and have been typically framed in a secondary or supporting function.

This sample displays a broader tendency in analysis to privilege particular person and intrapsychic elements over ecological and environmental variables (41, 48). However, research have proven that relational and institutional elements, together with college students’ sense of belonging, perceived assist from school, and engagement with friends, play a important function in shaping educational and psychological outcomes (15–17, 26).

Notably, solely a small variety of research explored college students’ help-seeking habits or use of psychological well being companies, regardless of proof indicating that college college students steadily underutilize obtainable assist companies (49). This suggests a missed alternative to higher perceive and deal with limitations to care.

This asymmetry suggests the necessity for a extra ecological and integrative perspective that acknowledges the function of the broader college atmosphere in shaping well being outcomes, recognizing the reciprocal relationship between the organizational context and the well being, well-being, and efficiency of scholars (50). Considering contextual elements is important not just for theoretical comprehensiveness but in addition for the design of multi-level interventions focusing on each particular person vulnerabilities and environmental stressors.

Lack of university-specific measurement instruments

Another key remark is the restricted availability and use of measurement instruments which are particular to the college scholar inhabitants. Most devices used throughout the reviewed research (86.2%) have been developed for the overall inhabitants, irrespective of the distinctive traits of scholar life. Only 13.8% of the instruments have been explicitly tailor-made to the college context.

Importantly, no devices particularly addressed life-style inside the college context, lacking a vital alternative to look at how educational, social, and developmental transitions form college students’ habits and routines. This is especially related contemplating that the college interval represents a important developmental window throughout which long-term health-related habits are fashioned and stabilized (28, 29).

This lack of context-specific measurement is especially problematic contemplating the transitional and developmentally distinctive section of rising maturity (1) and the particular challenges that characterize college life, akin to educational calls for, relocation, autonomy, identification exploration, and adjustments in social assist programs (3). Generic instruments might fail to seize these elements, probably decreasing each the sensitivity and ecological validity of assessments.

In the Italian context, this hole could also be additional exacerbated by restricted nationwide efforts towards instrument improvement and validation inside educational populations.

Developing and validating university-specific instruments might contribute to a extra correct and related evaluation of scholar well-being, enabling researchers and practitioners to determine wants extra exactly and design extra contextually acceptable interventions. This aligns with the Health Promoting Universities framework, which emphasizes the significance of making supportive environments and systemic approaches tailor-made to the distinctive context of every establishment to successfully improve well being outcomes (51).

Influence of the COVID-19 pandemic: a hybrid dimension

The COVID-19 pandemic represented a pivotal second in drawing consideration to scholar psychological well being. During this era, college students’ psychological well-being considerably declined, and a few of the unfavorable results might persist immediately (12, 13).

A notable variety of research carried out after 2020 included COVID-19-specific variables, highlighting each particular person vulnerabilities and environmental disruptions. These variables, akin to perceived influence of the pandemic, social isolation, on-line studying difficulties, and worry of contagion, don’t match neatly into conventional classes, as they concurrently mirror inside psychological states and exterior contextual situations. Importantly, exploratory analyses of multinational research indicated that COVID-specific elements have been hardly ever assessed internationally, with solely 2 research together with such measures, suggesting that this intense deal with pandemic-related outcomes was largely an Italian analysis phenomenon.

Interestingly, most of those variables have been assessed by way of advert hoc measures (47 research), together with single objects or non-validated scales, whereas solely a minority (10 research) employed validated devices. This once more highlights the proliferation of non-standardized instruments within the subject and the pressing want for validated devices able to capturing advanced, cross-cutting experiences.

The pandemic underscored the relevance of understanding scholar well-being not solely as a person attribute, however as a dynamic assemble formed by broader social and environmental situations (52). It additionally uncovered structural gaps in how we conceptualize and measure scholar well being, additional emphasizing the necessity for integrative, versatile, and context-sensitive evaluation instruments (53).

Sample traits: restricted representativeness and gender imbalance

An essential limitation rising from this evaluation involved the traits of the samples used within the included research. Most of the research have been carried out on non-probabilistic, comfort samples recruited from single establishments, usually inside particular programs or colleges. This poses important considerations concerning the generalizability of the findings, as such samples might not adequately mirror the variety of the broader college scholar inhabitants.

Moreover, a powerful gender imbalance was noticed throughout research, with a predominant illustration of feminine contributors. This overrepresentation could also be because of greater response charges amongst ladies in psychological well being analysis, but it limits the flexibility to attract conclusions relevant to male or gender-diverse college students, whose experiences and vulnerabilities might differ considerably.

Other probably related subgroups, akin to worldwide college students, working college students, college students with disabilities, or these from underrepresented socio-economic backgrounds, have been hardly ever analyzed and even recognized. This underreporting additional restricts the inclusiveness of present analysis and will obscure the wants of weak or marginalized populations.

Future research ought to prioritize extra consultant and stratified sampling methods and report socio-demographic variables extra constantly. This would improve the exterior validity of findings and assist the event of equity-informed interventions that deal with the wants of all college students, not simply essentially the most accessible ones.

Limitations

This systematic evaluation presents a number of limitations that needs to be acknowledged. First, the evaluation solely included research carried out within the Italian context, which limits the generalizability of the findings to different cultural or instructional settings. The Italian context has particular options, akin to variations in scholar age, college group, longer household co-residence, and a extra gradual transition to financial and residential autonomy. Nevertheless, as already mentioned, the patterns noticed largely align with worldwide tendencies, confirming the outcomes of earlier research (38), suggesting that the findings could also be related past Italy. This selection displays the purpose of specializing in instruments used within the Italian context, because the breadth of worldwide literature would have made an in depth evaluation of devices unfeasible. Second, gray literature, akin to unpublished research, convention proceedings, or institutional stories, was excluded, probably omitting related information and contributing to publication bias. Third, the standard of the research included was not formally assessed. However, as our focus was on the devices and constructs investigated slightly than the examine outcomes, a high quality verify was obtained instantly on the measurement instruments by calculating the proportion of validated devices. Additionally, the evaluation was restricted to research revealed from 2010 onwards; whereas this ensures modern relevance, it could have excluded earlier foundational work on scholar well-being and life-style. Finally, the function of perceived well being standing was not examined in depth because of its sporadic and non-standardized measurement within the included research. This hole highlights the necessity for future analysis to deal with perceived well being standing utilizing validated, standardized instruments, with the intention to extra precisely seize college students’ subjective well being perceptions and their connection to life-style behaviors and well-being. These limitations spotlight the necessity for future evaluations to undertake broader inclusion standards and combine methodological high quality assessments to boost the comprehensiveness and reliability of the proof base.