distribution of 620 structured questionnaires through online platforms and academic networks. A total of 548

responses were received, out of which 502 valid responses were used for final analysis. The findings reveal that

Institutional Support Mechanisms significantly and positively influence Academic Productivity, while Social

Isolation negatively affects students’ academic engagement, motivation, and performance. The moderation

analysis further confirms that Social Isolation weakens the positive relationship between institutional support

and academic productivity. The study highlights the importance of strengthening institutional support systems

well-being.

Keywords: Institutional Support Mechanisms, Academic Productivity, Social Isolation

students’ physical health, psychological resilience, and social interaction. Engagement in health club activities

contributing to improved academic outcomes. The effectiveness of such clubs may serve as a crucial link

between institutional support and students’ academic productivity.

This study examines the influence of institutional support mechanisms on academic productivity, with particular

emphasis on the mediating role of health club effectiveness in universities in Kerala. By exploring how health

clubs facilitate the relationship between institutional support and academic performance, the research aims to

provide empirical insights into the importance of integrating health-promoting initiatives within university

support structures to enhance academic success and student well-being.

theory. The availability of resources and the institutional atmosphere have a significant impact on faculty

research production, according to empirical data from Bland et al. (2005). Similarly, Shin and Cummings (2010)

discovered that academic publishing output is significantly predicted by institutional support of cooperation and

research participation. Mechanisms for involvement, mentoring, and integration enhance academic output even

further. Structured mentoring improves doctorate research performance and publication outcomes, as

demonstrated by Paglis et al. (2006). Tinto (2012) highlighted that institutional dedication to academic and social

integration enhances student perseverance and accomplishment from the standpoint of student development. In

a similar vein, Kuh (2008) and Astin (1999) emphasized how institutional approaches that encourage active

engagement greatly improve learning results. All of these results support the idea that well-designed institutional

processes increase motivation, lower structural obstacles, and establish settings that support long-term academic

the importance of supportive contexts in improving performance. Overall, evidence from global and Kerala-

based studies indicates a strong and positive relationship between academic outcomes and institutional support

systems.

In contemporary higher education research, institutional support mechanisms are broadly recognized as critical

organizational resources that enhance students’ academic and psychosocial outcomes by providing structured

services, policies, and networks designed to foster engagement, well-being, and integration within university

settings (Kyaw San & Guo, 2022).

Such mechanisms include formal academic advising, counseling services, mentorship programmes, peer support

systems, and flexible academic policies that collectively aim to mitigate stressors commonly encountered in

including loneliness, reduced communication, lower well-being, and compromised academic engagement (Bu

et al., 2021). Empirical evidence suggests that high levels of institutional support can buffer the negative effects

of social isolation by facilitating social networks and promoting connectedness among students and staff (Ahmed

et al., 2023). For example, structured support services such as inclusive counselling and peer mentorship help

counteract feelings of isolation by linking students with social and academic networks that offer emotional and

informational support (Martirosyan, Bustamante, & Saxon, 2019, Tshililo et al., 2025).

Moreover, when social isolation is pronounced — as observed during the shift to online learning — the

effectiveness of institutional support mechanisms in promoting satisfaction and learning outcomes can be

Lam, 2024). Anusha. P.Nair et al. (2025) examined the relationship between social isolation and suicide ideation

among adolescents in higher educational institutions in Palakkad district, with particular focus on the moderating

role of Grievance Redressal Cell (GRC) activities. The study found that social isolation significantly increases

review, examined the association between social isolation and suicide-related outcomes. Their findings indicate

that individuals experiencing loneliness, reduced social integration, and limited interpersonal relationships are

at a substantially higher risk of developing suicidal thoughts and engaging in suicidal behaviors. The review

emphasizes that both objective social isolation (lack of social contacts) and subjective feelings of loneliness

contribute independently to suicide vulnerability. The authors further argue that the absence of meaningful social

connections weakens emotional regulation and coping capacity, thereby increasing psychological distress and

hopelessness. Similarly, Cheek et al. (2020) explored the relationship between interpersonal stressors and

suicidal ideation among adolescents following psychiatric hospitalization. Their prospective study demonstrated

that experiences of social rejection significantly predicted subsequent suicidal ideation and suicide attempts. The

findings suggest that adolescents who perceive themselves as rejected or excluded by peers are more likely to

being outcomes, underscoring the need for integrative approaches that simultaneously target structural support

and social connectivity within universities. Together, these studies underscore the importance of addressing

social isolation and interpersonal rejection within preventive mental health strategies. Interventions aimed at

enhancing social connectedness, strengthening peer relationships, and promoting supportive institutional

environments may serve as protective factors against suicide ideation among adolescents.

Numerous studies demonstrate the intricate connection between academic achievement in a variety of school

situations and social isolation and loneliness. Higher levels of social isolation and loneliness have been

repeatedly linked to poorer academic performance, motivation, and engagement among students, especially in

settings with little opportunity for interpersonal interaction, according to empirical data. For example, during

with stronger social networks outperformed their socially isolated peers in terms of academic success. This

highlights the significance of belongingness and interpersonal connections in educational adjustment. Social

support was found to be a mediating element that mitigates the detrimental effects of antisocial inclinations on

academic performance by Auwal Halabi et al. (2025).

Rahimi et al. (2025) also demonstrated that perceived connectedness has an indirect impact on performance, as

higher levels of social well-being were linked to increased academic motivation, which improves achievement

outcomes. Another factor is family-related social disruption; Austria et al. (2025) discovered that first-year

college students' concentration and academic focus decreased when their parents separated and they became

socially disengaged.

Beyond pandemic situations, Benner (2011) showed that teenage loneliness was associated with poorer academic

achievement, although friendships mitigated these effects, emphasizing the value of peer relationships. All of

these research show that robust social support networks serve as important protective variables, but that social

isolation—whether situational or emotional—can harm psychological well-being, lower engagement and

scores indicate the average level of agreement among respondents, while standard deviation shows the extent of

variation in responses. The results show that Institutional Support Mechanisms and Academic Productivity

recorded moderately high mean values, while Social Isolation recorded a comparatively lower mean value.

Table 1: Descriptive Statistics

The descriptive results suggest that students generally perceived the presence of institutional support

mechanisms in their universities. Academic productivity was also reported at a moderately high level. However,

the moderate to low level of social isolation indicates that although many students experience academic and

social support, a meaningful proportion may still face limited peer interaction, loneliness, or reduced campus

engagement.

Normality Test with Skewness and Kurtosis

Normality was assessed using skewness and kurtosis values. Skewness explains whether the distribution of

responses is symmetrical, while kurtosis indicates whether the distribution is peaked or flat. Values within the

Table 2: Normality Test with Skewness and Kurtosis

Average Variance Extracted (AVE). Cronbach’s Alpha and CR values above 0.70 indicate acceptable internal

consistency. AVE values above 0.50 indicate that the construct explains a satisfactory proportion of variance in

its indicators. The results confirm that all three constructs have acceptable reliability and convergent validity.

Table 3: Reliability and Convergent Validity

represent their respective constructs. Therefore, the measurement scales used in the study are reliable and valid

for further analysis.

Discriminant Validity using Fornell-Larcker Criterion

Discriminant validity was assessed using the Fornell-Larcker criterion. Under this method, the square root of

AVE for each construct must be greater than its correlation with other constructs. The diagonal values in the

table represent the square root of AVE. Since the diagonal values are higher than the corresponding inter-

construct correlations, discriminant validity is established.

Table 4: Discriminant Validity - Fornell-Larcker Criterion

Model Fit Indices

Model fit indices were used to evaluate whether the proposed moderation model adequately represents the

observed data. The SRMR value below 0.08 indicates good approximate model fit. NFI, CFI, and TLI values

above 0.90 indicate acceptable incremental fit. RMSEA below 0.08 and Chi-square/df below 3.00 further support

the adequacy of the proposed model.

Table 5: Model Fit Indices

statistically acceptable and suitable for hypothesis testing.

Hypothesis Testing and Moderation Analysis

The hypotheses were tested using standardized beta values, t-values, and p-values. The moderation effect was

tested by examining the interaction term between Institutional Support Mechanisms and Social Isolation. The

results indicate that Institutional Support Mechanisms significantly and positively influence Academic

Productivity. Social Isolation significantly and negatively influences Academic Productivity. The interaction

effect is also significant, confirming the moderating role of Social Isolation.

Table 6: Hypothesis Test Results

impact of Institutional Support Mechanisms on Academic Productivity. In other words, institutional support is

more effective when students experience lower social isolation.

Analysis and Interpretation

The analysis confirms that Institutional Support Mechanisms are important predictors of Academic Productivity

among university students. Support systems such as mentoring, counselling, academic guidance, learning

infrastructure, faculty support, and student engagement initiatives contribute positively to students’ academic

performance, participation, motivation, and consistency. These findings support the argument that universities

must provide structured academic and psychosocial support to improve learning outcomes.

The results also show that Social Isolation has a negative influence on Academic Productivity. Students who

experience loneliness, weak peer interaction, emotional disconnection, and reduced campus engagement are

The study found that Institutional Support Mechanisms significantly enhance Academic Productivity among

support demonstrate better academic participation and productivity.

Social Isolation was found to have a significant negative effect on Academic Productivity. Higher levels of

isolation reduce students’ academic motivation, engagement, and learning consistency.

The moderation analysis confirmed that Social Isolation significantly moderates the relationship between

Institutional Support Mechanisms and Academic Productivity. The positive effect of institutional support

becomes weaker when students experience high social isolation.

The measurement model showed acceptable descriptive characteristics, normality, reliability, convergent

validity, discriminant validity, and overall model fit. Therefore, the proposed research model is statistically

sound and suitable for explaining the study relationship.