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. 2024 Dec 3;19(12):e0310496. doi: 10.1371/journal.pone.0310496

College students’ sense of belonging and alcohol use amidst COVID-19: Evidence from a 21-day daily diary study

Maithreyi Gopalan 1,*, Jilli Jung 1, Chiang Shou-Chun 2, Ashley Linden-Carmichael 3, Stephanie Lanza 3
Editor: Yadeta Alemayehu4
PMCID: PMC11614200  PMID: 39625903

Abstract

Objective

Alcohol use, combined with the heightened mental health crisis among college students highlighted during the pandemic, remains a significant public health concern. We examine (1) how college students’ daily assessed sense of belonging with their institution, a key protective factor for better collegiate mental health, is associated with same-day alcohol-use behaviors (2) and how the associations are moderated by key sociodemographic characteristics relevant to this population (women, minoritized students, first-generation [FG], and students identifying as Lesbian, Gay, Bisexual, Transgender, or Queer [LGBTQ]) amidst COVID-19.

Method

We used mixed models using data from a 21-day daily diary study of college students (N = 2,012) in Spring 2021.

Results

Results revealed that on days when students felt more uncertainty about their sense of belonging to their college (i.e., low belonging), they were less likely to drink, and drink less overall. This effect was observed after students were back on campus after pandemic-related college closures ended. Heterogeneity by minoritized student subgroups were also observed.

Conclusions

College students’ sense of belonging continues to be an important psychosocial determinant of health and health behaviors among young adults; at times in unintended ways. This reiterates the importance of examining dynamic relationships between belonging and population health.

Public health significance statements: These results provide important insight into the linkages between a key psychosocial factor—students’ sense of belonging in college—and their alcohol use patterns amidst COVID-19. Institutional programming and prevention efforts to curb alcohol misuse should be implemented with consideration of how those linkages may differ dynamically considering both between- and within-person variance in belonging.

Introduction

Alcohol use among young adults aged 18–25, who exhibit higher rates of drinking than any other age group, is a significant and widespread public health concern [1]. For example, 19/20-year-olds who currently attend postsecondary universities and do not live with their parents exhibit the highest rates of drinking among adults in the US [12.4%; 2]. Several studies have focused on the harmful effects of drinking among college students; however, given the rapid shutdown of college campuses at the onset of the COVID-19 pandemic, how did alcohol use patterns evolve amidst prolonged social isolation and during their subsequent return to campus when campus closures ended?

Research on alcohol use patterns during the initial onset of the pandemic (i.e., early to mid-2020) revealed mixed patterns and trends. Specifically, while some studies found that college students reported heavier use during the pandemic (relative to prior to the pandemic) [3, 4], others found that young adults might be drinking less overall, but instead drinking more frequently, and primarily with their family and/or alone [5, 6]. More consistently, the pandemic also fueled a brewing mental health crisis across the age spectrum, but especially so for college students given the unprecedented disruption to higher education [7]. Given that major differences exist in the impact of COVID-19 on health outcomes by gender, minoritized student status, first-generation status, and LGBTQ status [811], examining heterogeneity in alcohol use patterns across various college student subgroups amidst COVID-19 remains important. For example, increases in alcohol frequency, heavy drinking, and alcohol-related harms were observed only in women [12], and the link between psychological distress and alcohol use and use severity was also observed only in women [13, 14]. Lastly, during the pandemic, individuals who identify as LGBTQ+ have been at disproportionate risk for mental health concerns and substance use [15, 16].

On the prevention side, a key emerging protective factor against adverse mental health outcomes, such as anxiety and depression, which often co-occur with alcohol use [e.g., 17], was students’ sense of belonging with their university [18]. For example, college students who reported feeling a strong sense of belonging with their institution prior to the onset of the pandemic (e.g., “I feel like I belong at [college]”; “How often, if ever, do you wonder: Maybe I do not belong here?”, reverse coded) reported lower levels of depressive symptoms and anxiety during the pandemic, even after controlling for their baseline (pre-COVID-19 pandemic) depressive and anxiety symptoms [18]. However, to date, only a few studies have examined the direct linkages between belonging and alcohol use in college.

A sense of belonging, often considered a fundamental human motivation [19], has consistently been associated with greater persistence, achievement, and social and academic integration on college campuses [2023]. More recently, studies have also begun to show the buffering effects of belonging with regard to mental health outcomes such as depression and anxiety [24, 25]. Most of these studies measure belonging and belonging uncertainty using items like: “I feel that I am a part of [college]”; I feel like I belong at [college]; “Sometimes I worry that I do not belong in [college]”). We adapted a similar, extensively used, belonging uncertainty measure to a daily diary context in our current study. These studies underscore the importance of examining linkages between students’ sense of belonging with their college and alcohol use particularly amidst COVID-19 and beyond.

There is also mixed evidence on the sign, magnitude, and consistency of associations between belonging and alcohol use in non-pandemic times. Among college samples, alcohol is commonly used to fulfill their desire to fit in and gain social approval [2630]. There is, thus, some reason to expect a positive association between belonging and alcohol use, particularly when related to social drinking that is quite common on college campuses. For example, drinking frequency has been previously associated with greater belonging in college [31]. Also, students who socialize more drink more with their peers to gain approval [32], and are likely to feel more accepted and connected with peers in college. Indeed, Hamilton and DeHart [33] found that students who reported higher levels of needing to belong at baseline were more likely to drink on days when they experienced negative interpersonal interactions.

Importantly, however, students’ sense of belonging with their institutions is not static; it is dynamic [20, 25, 34] and may thus represent a key, within-person, moderator that can be intervened upon [20, 22]. A recent longitudinal study of the association between college students’ alcohol use and drinking norms specifically examined the moderating role of students’ sense of belonging in college [29]. Findings indicated that students who perceived their peers as more approving of drinking consumed more alcohol and consumed alcohol more often–but only when their sense of belonging was lower than their own average levels of belonging. Yet, interventions targeting alcohol use among adolescents and young adults, even the most effective ones, rarely seem to consider this key social psychological factor in their designs [35].

While Neighbors and colleagues’ work [29] documents the critical role of belonging in alcohol use among college students, there are several gaps in our knowledge that warrant additional research. First, there is consistent evidence of sociodemographic differences by race/ethnicity, gender, and first-generation college student status in students’ sense of belonging. For example, women report higher sense of belonging with their campus than men, first-generation college students and minoritized students often report feeling lower belonging than their white and/or continuing-generation peers, especially in predominantly white institutions [20, 22, 24, 34]. The extent to which similar differences exist in the link between belonging and alcohol use remains unknown. Second, although longitudinal, Neighbors and colleagues’ study of student perceptions of norms, self-reports of belonging, and alcohol use was conducted over two years in college with measures collected 8 times at 3-month intervals. However, college students’ sense of belonging may vary day-to-day [20, 22, 34]. The current study aimed to examine whether day-to-day variations in students’ belonging with their campus were associated with their alcohol use patterns.

Current study

The overarching goal of the current study was to examine associations between intensively measured students’ sense of belonging, assessed daily over 21 days, and reports of daily alcohol use and other key factors amidst COVID-19. Our daily-diary study (N = 2,012) conducted in 2021 (amidst COVID-19 but after students had returned to campus after almost a year of remote/hybrid learning), will add nuance and clarity to the sign, strength, and consistency of associations between students’ sense of belonging and alcohol use and inform outreach efforts for institutional programming. Additionally, by Spring 2021, when this study was conducted, this institution had transitioned back to pre-COVID-19 teaching modalities. The campus was open, and almost all classes had returned to in-person formats.

It is well-documented that college students’ sense of belonging plays an important role in mental health and wellbeing outcomes [24, 25] and that sense of belonging is a dynamic process that may vary across long periods of time through college [29]. Given the limited work examining event-level predictors of alcohol use [36], including daily variations in belonging, the current study sought to address this gap using 21-day diary data from a large college student sample. Furthermore, given the paucity of research on the unique risk and resiliency factors related to alcohol use among college students from marginalized backgrounds [37] and recent work documenting underrepresented students from minoritized racial-ethnic backgrounds report a lower sense of belonging than their peers [18, 24, 38, 39], this study examines moderations in belonging and alcohol use by important sociodemographic factors as well. Specifically, this study sought to address the following research questions:

(RQ1) What is the within-person association between daily sense of belonging with their institution and daily alcohol use behaviors (likelihood of drinking and total number of drinks) across 21 days amidst the pandemic during 2021? And, (RQ2): How do associations between belonging and alcohol use behaviors vary by gender and health disparity sociodemographic characteristics—such as first-generation [FG] college students, minoritized students, and students identifying as LGBTQ?

Method

As described above, we use a 21-day, daily diary survey and a quantitative, longitudinal analysis (using mixed models) to examine the association between day-to-day variations in students’ belonging with their campus and their alcohol use patterns.

Participants

Undergraduate students were recruited from a large, suburban, public, postsecondary university in the Northeast region of United States from Spring and Fall 2021 to participate in an online daily diary study—called the Student Engagement, Learning and Flourishing (SELF) study. Participant demographics are presented in Table 1. A random sample of participants were recruited via e-mail invitations. Students first completed a screener to determine eligibility. To be eligible, participants must have been a 1st through 4th-year, full-time, undergraduate student and aged 18–24 years. No other exclusion criteria were considered.

Table 1. Descriptive statistics of analytic sample.

Variable Person-level N (%) # of Person-Days for Each Group of Students
Gender (% women) 1,309 (68.43) 21,910
LGBTQ (%) 320 (16.73) 5,261
Race/Ethnicity
 Non-Hispanic White 1,349 (70.52) 22,736
 Non-Hispanic Black 48 (2.51) 618
 Hispanic 150 (7.84) 2,352
 Non-Hispanic Asian 276 (14.43) 4,278
 All Other race/Multiracial 90 (4.70) 1,438
Age M (SD)
 18 392 (20.49) 6,306
 19 463 (24.2) 7710
 20 425 (22.22) 7,093
 21 438 (22.9) 7,187
 22 164 (8.57) 2,689
 23 23 (1.2) 334
 24 8 (0.42) 103
Year in College
 1st year (1–2 semesters) 471 (24.62) 7,444
 2nd year (3–4 semesters) 483 (25.25) 8,041
 3rd year (5–6 semesters) 432 (22.58) 7,290
 4th year (7–8 semesters) 463 (24.2) 7,576
 5th year ~ (9–11 semesters) 59 (3.08) 1,019
missing 5 (0.26) 52
First generation 324 (16.94) 26,212
Total in analytic sample 1,913 31,422

Note. Analytic sample for the any alcohol use model was reported here. Analytic sample sizes by subgroups vary slightly across models due to missing cases in dependent variables.

Procedure

If students were eligible, the survey routed the participants to an “informed consent” document link that explicitly stated the potential risks and benefits of participating in the research study. If the students consented to participate, they completed an online baseline survey and were immediately enrolled in the daily diary portion. Each day participants received a survey link to their email and cell phone (at 9:00 am with a reminder one hour later to participants who had not yet completed the day’s survey) that assessed health behaviors and its correlates. Participants received $15 for the baseline survey and up to $67 for the daily surveys, with extra incentives for higher completion. The university’s Institutional Review Board approved all ethical considerations including the informed consent language/documentation, data collection, and analysis plan of the current study.

Measures

Daily belonging

Each day students were asked: “Yesterday, when you think about [college], how often, if ever, did you wonder: Maybe I don’t belong here?" (0 = Never, 1 = Hardly ever, 2 = Sometimes, 3 = Frequently, 4 = Always). We use this single-item measure, which is referred to as belonging uncertainty in the literature [see 22, 34] guided by past theoretical and empirical work on college students [also see 20, 23]. We believe that the Belonging Uncertainty measure is the most appropriate to analyze dynamic state-level feelings of belonging especially from a daily diary study (see Walton & Cohen [2007] for theoretical motivations). That said, we also assessed one more state-level belonging measure which asked students, to indicate their agreement with the statement, “Right now, I feel like I belong at [college]” (1 = Strongly disagree, 7 = Strongly agree). Because this measure was phrased differently from all other daily diary measures that elicited retrospective self-reports of belonging and alcohol use (i.e., “yesterday”) we do not include this measure in our analysis. That said, when we lagged this measure by 1 to assess patterns of associations between belonging and alcohol use on a day-to-day basis, the results were qualitatively similar and available from the authors on request.

Note that higher values of the daily belonging measure denote lower belonging. Hereafter, we refer to this measure as “belonging uncertainty” for clarity and consistency.

Daily alcohol use

Each day, participants were asked if they consumed any alcohol; if they reported any use, they were asked follow-up questions regarding the number of drinks consumed. This information was used to create the following daily variables: Any Alcohol Use (1 = Yes, 0 = No); Number of Drinks consumed (measured continuously, including 0). The results are substantively the same when we analyzed number of drinks only on drinking days (i.e., excluding 0) and available from the authors upon request.

Sociodemographic factors

Self-reports were collected to determine self-identified Gender (1 = Woman; 0 = Man). Minoritized student status was measured based on self-reported race/ethnicity. Based on past research on stigmatization and belonging in higher education, Asian, African-American students, Hispanic students, Native American and Pacific Islanders as well as multiracial students were classified as minoritized students in the mixed models (1 = Minoritized students, 0 = Non-Minoritized). The results are substantively the same when we include cross-level interactions separately for Black, Hispanic, Asian, and other race/ethnicity students separately though precision of the effects vary given varying subgroup sample sizes (see S1 Table in the S1 File). First-generation status was measured based on student-reported parental education. If neither parent had received a four-year college degree, the student was classified as a first-generation student (1 = First-generation student; 0 = Continuing-Generation Student). Similarly, students who identified as Lesbian, Gay, Bisexual, Transgender, or Queer were classified as an LGBTQ student (1 = LGBTQ Student; 0 = Non-LGBTQ Student). Given the low sample size of Lesbian, Gay, Bisexual, Transgender, or Queer student subgroups, we do not conduct separate analysis for these subgroups. Even though the SELF study collected information on gender identity and sexual identity in two separate questions, we only have a calculated variable on gender/sexual minority (LGBTQ–yes/no) in our analysis, as approved by this study’s IRB.

Analytic plan

RQ1: Associations between daily sense of belonging and alcohol use

To address RQ1, multilevel mixed models were used to examine the within-person association between daily-assessed sense of belonging uncertainty and daily alcohol use behaviors (any alcohol use, total number of drinks, and solitary drinking) across 21 days in our analytical sample. The daily measure of belonging uncertainty was person-mean centered at Level 1 and the centered person-mean measure of belonging uncertainty was included at Level 2 so that person- and day-level effects of belonging uncertainty could be separated. We controlled for the key sociodemographic characteristics described above (gender, minoritized student status, first-generation status, and LGBTQ identity). We included random intercepts and random slopes [40, 41].

RQ2: Associations between daily sense of belonging and alcohol use by key demographic groups

To address RQ2, we examined key demographic variables as moderators of the association between daily-assessed sense of belonging and alcohol use outcomes, testing each moderator in separate models. Specifically, we examined cross-level interactions of key sociodemographic factors—gender, minoritized student status, FG status, and LGBTQ status—with daily belonging uncertainty to predict alcohol use outcomes.

Results

In all, 2,068 participants consented and participated in the Student Engagement, Learning and Flourishing (SELF) survey; of these students, 2,012 participants completed at least 1 day of the 21-day daily diary survey. Students completed an average of 16.8 (SD = 5.7) of the 21 daily surveys, providing a total of 33,722 total person-days. The analytical sample with non-missing values on key measures used in the study is shown in Table 1. While the analytical sample had a slightly larger proportion of female students than the broader university population (68.5% vs. 47.3% in population), the racial-ethnic composition of the sample (7.8% Hispanic, 2.5% non-Hispanic Black, 70.5% non-Hispanic White, 14.4% non-Hispanic Asian, and 4.7% other/mixed races) was largely similar to that of the population of students at this campus (7.7% Hispanic, 4.3% non-Hispanic Black, 65.2% non-Hispanic White, 6.7% non-Hispanic Asian, and 16.1% other/mixed races). For further details on the Project SELF protocol, please see Lanza and colleagues’ protocol [42].

In Table 2, we report descriptive statistics across our key predictor of interest—belonging uncertainty—and two outcomes examining the various facets of drinking behaviors in college—any alcohol use and number of drinks. As shown in Table 2, Non-Hispanic Black students reported the highest mean level of belonging uncertainty (2.114) and Non-Hispanic White the lowest level (1.799). Similarly, we also note that first-generation students and LGBTQ students report higher mean levels of belonging uncertainty (i.e., lower belonging) as compared to the continuing-generation, and non-LGBTQ students, respectively.

Table 2. Means and standard deviations of key variables (Disaggregated by demographic subgroups).

  Between-person level Within-person level
  Person-level N Daily belonging
Uncertainty
Any Alcohol Use Number of drinks Daily-level N Daily belonging
Uncertainty
Any Alcohol Use Number of drinks
All 1,913 1.831 0.148 0.656 31,422 1.804 0.151 0.670
(0.843) (0.184) (1.032)   (1.017) (0.358) (1.995)
Gender  
 Women 1,309 1.861 0.148 0.585 21,910 1.834 0.152 0.598
(0.836) (0.171) (0.804)   (1.024) (0.359) (1.737)
 Men 604 1.767 0.148 0.812 9,512 1.733 0.15 0.835
(0.857) (0.209) (1.392)   (0.999) (0.357) (2.480)
Race/Ethnicity  
 Non-Hispanic White 1,349 1.799 0.171 0.778 22,736 1.776 0.172 0.780
(0.823) (0.192) (1.119)   (1.003) (0.378) (2.151)
 Non-Hispanic Black 48 2.114 0.070 0.162 618 2.070 0.065 0.154
(1.035) (0.125) (0.323)   (1.196) (0.246) (0.658)
 Hispanic 150 1.904 0.137 0.562 2,352 1.879 0.141 0.597
(0.921) (0.159) (0.784)   (1.113) (0.348) (1.860)
 Non-Hispanic Asian 276 1.861 0.071 0.279 4,278 1.846 0.071 0.279
(0.798) (0.141) (0.678)   (0.979) (0.257) (1.269)
 All other
race/Multiracial
90 1.947 0.106 0.414 1,438 1.873 0.111 0.432
(0.991) (0.150) (0.720)   (1.082) (0.314) (1.514)
First-generation  
 Yes 324 1.900 0.151 0.567 26,212 1.891 0.149 0.562
(0.909) (0.196) (0.947)   (1.094) (0.356) (1.717)
 No 1,589 1.817 0.148 0.675 5,210 1.786 0.152 0.692
(0.829) (0.181) (1.047)   (1.000) (0.359) (2.045)
LGBTQ  
 Yes 320 2.097 0.122 0.434 5,261 2.045 0.122 0.445
(0.886) (0.152) (0.667)   (1.084) (0.328) (1.518)
 No 1,593 1.778 0.154 0.701 26,161 1.755 0.157 0.715
    (0.825) (0.189) (1.085)   (0.996) (0.364) (2.074)

Note. Each cell reports the Mean. SD is in parenthesis. Descriptive statistics of analytic sample for the any alcohol use model were reported here. Analytic sample sizes by subgroups vary across models due to missing cases in dependent variables.

Further, we found slightly higher mean rates of drinking among Non-Hispanic White students as compared to students from all other race/ethnicity, and lower drinking among LGBTQ students in comparison to non-LGBTQ students. Results are similar when day of week is controlled for in these models, and available in the S1 File (see S2 Table in the S1 File). The reference day used (i.e., Sunday vs. other days of the week) in the models also do not affect the results (results available upon request).

As shown in Table 3, we examined associations between students’ day-level belonging uncertainty and drinking behaviors including cross-level interactions. Within each outcome of interest, the first column shows the baseline model specification (no cross-level interactions included here) to examine RQ1 in the full sample. Across the two outcomes examined, we find consistent patterns. On days when students felt more uncertain about their belonging (than their average), they were less likely to drink and consumed fewer drinks.

Table 3. Mixed models examining associations between belonging uncertainty and alcohol use behaviors.

Dependent Variables Any Alcohol Use Total Number of Drinks
Fixed effects (1) (2) (3) (4) (5) (1) (2) (3) (4) (5)
Level 1    
 Daily Person-centered Belonging Uncertainty -0.029*** -0.020*** -0.015** -0.027*** -0.030*** -0.140*** -0.121*** -0.079** -0.131*** -0.148***
(0.003) (0.007) (0.006) (0.004) (0.004) (0.019) (0.037) (0.036) (0.021) (0.022)
Level 2    
 Average person-mean Belonging Uncertainty -0.019*** -0.019*** -0.019*** -0.019*** -0.019*** -0.122*** -0.122*** -0.122*** -0.122*** -0.122***
(0.005) (0.005) (0.005) (0.005) (0.005) (0.028) (0.028) (0.028) (0.028) (0.028)
 Woman -0.001 -0.001 -0.001 -0.001 -0.001 -0.230*** -0.230*** -0.230*** -0.230*** -0.230***
(0.009) (0.009) (0.009) (0.009) (0.009) (0.050) (0.050) (0.050) (0.050) (0.050)
 Minoritized
Student
-0.075*** -0.075*** -0.075*** -0.075*** -0.075*** -0.411*** -0.411*** -0.411*** -0.411*** -0.411***
(0.009) (0.009) (0.009) (0.009) (0.009) (0.051) (0.051) (0.051) (0.051) (0.051)
 First generation
Student
0.010 0.010 0.010 0.01 0.01 -0.048 -0.048 -0.048 -0.048 -0.048
(0.011) (0.011) (0.011) (0.011) (0.011) (0.062) (0.062) (0.062) (0.062) (0.062)
 LGBTQ -0.028** -0.028** -0.028** -0.028** -0.028** -0.199*** -0.199*** -0.199*** -0.199*** -0.199***
(0.011) (0.011) (0.011) (0.011) (0.011) (0.062) (0.062) (0.062) (0.062) (0.062)
Cross-level interactions    
 Daily Belonging Uncertainty x Woman -0.012   -0.027  
(0.008)   (0.043)  
 Daily Belonging Uncertainty x Minoritized 0.019***   0.087**  
(0.008)   (0.042)  
 Daily Belonging Uncertainty x First generation -0.013   -0.057  
(0.009)   (0.051)  
 Daily Belonging Uncertainty x LGBTQ 0.005   0.037
          (0.009)         (0.048)
Random effects    
 Slope variance 0.002*** 0.002*** 0.002*** 0.002*** 0.002*** 0.079*** 0.079*** 0.079*** 0.079*** 0.079***
(0.001) (0.001) (0.001) (0.001) (0.001) (0.017) (0.017) (0.017) (0.017) (0.017)
 Intercept variance 0.023*** 0.023*** 0.023*** 0.023*** 0.023*** 0.767*** 0.767*** 0.767*** 0.767*** 0.767***
(0.001) (0.001) (0.001) (0.001) (0.001) (0.032) (0.032) (0.032) (0.032) (0.032)
 Residual variance 0.102*** 0.102*** 0.102*** 0.102*** 0.102*** 3.109*** 3.109*** 3.109*** 3.109*** 3.109***
(0.001) (0.001) (0.001) (0.001) (0.001) (0.026) (0.026) (0.026) (0.026) (0.026)
N 31422 31422 31422 31422 31422 31402 31402 31402 31402 31402

Note. Standard errors in parentheses.

* p < .10

** p < .05

*** p < .01.

Next, to explore moderations by subgroups, columns 2–5 in each panel examines, in separate models, the moderation effects of gender, minoritized student status, FG status, and LGBTQ status on the association between students’ belonging uncertainty and each alcohol use outcome. We find that minoritized students were more likely to drink and drank more alcohol on days they reported higher belonging uncertainty (i.e., lower belonging). Specifically, we find significant positive cross-level interaction terms of 0.019 and 0.087 for minoritized students and negative main effects of day-level belonging uncertainty of -0.015 and -0.079 overall (see column 3). In other words, on days when minoritized students felt more uncertain about their belonging they drank more often and more drinks overall (as compared to non-minoritized students). We did not observe any other statistically significant cross-level interactions.

Discussion

Belonging is a key psychosocial determinant of mental health and health behaviors among college students, particularly for women, underrepresented racial/ethnic minorities, first-generation students, and students identifying as LGBTQ during the COVID-19 pandemic [9, 11, 18]. To date, only limited research has examined the construct of belonging as a dynamic process especially as it relates to mental health [25] and alcohol use [29]. To this end, the current study used 21-day diary data from a large, college student sample during the COVID-19 pandemic to assess day-level associations between feelings of belonging and alcohol use outcomes. We also explored whether associations differed by key demographic characteristics given our large analytical sample.

First, we found that on days when students felt more uncertain about their belonging in college than usual (i.e., controlling for person-level belonging uncertainty, which is also negatively related to drinking behaviors), they were less likely to drink and consumed fewer drinks. This negative association might be a result of students seeking out fewer social interactions on days that they feel like they belong less, given that drinking is a very social activity on college campuses. These findings are in line with prior patterns observed in the literature from cross-sectional snapshots that higher levels of belonging might indeed be a risk factor for engaging in drinking behaviors [33].

Next, and most concerningly, we observe that on days that minoritized students feel more uncertain about their belonging, they are more likely to drink. Indeed, we see that the sign and strength of the associations for students from these health disparity populations is significantly different from the full sample results—pointing to the need to examine heterogeneity across important interpersonal dimensions [43]. The sensitivity of the relationship between students’ uncertainty about their belonging with their institutions and the likelihood of drinking is a particularly concerning moderation, likely exacerbated during the pandemic. Although we interpret this effect with caution given sample size differences across various minoritized subgroups, we believe these trends warrant further attention that future research from more diverse, large, samples should focus on.

Finally, minoritized, first-generation, and LGBTQ students show slightly higher belonging uncertainty even on a day-to-day basis, largely replicating prior work [20, 24]. We also observe larger within-person variations in belonging uncertainty for these groups. These results are consistent with prior theory and empirical research, that minoritized students, especially in predominantly white institutions are often exposed to daily slights and adversities that make them question their day-to-day belonging [22, 34]. Our study documents that larger variations are also found among other health-disparity populations—such as LGBTQ students—that warrants further research.

Campus closure, stricter norms of gathering during the pandemic, etc. could have contributed to the overall low levels of social drinking that we might be capturing here. That said, students reporting high belonging uncertainty (i.e., lower belonging) may have had fewer opportunities to socialize with others, when drinking is more common and therefore drink less. This interpretation highlighted by Neighbors et al. [29] in their study aligns somewhat with our study findings. In other words, lower likelihood of drinking and drinking less on days when students feel more uncertain about their belonging, are positive outcomes overall given the college population we are studying. However, if these are proxies for social isolation, especially for students from historically, marginalized sociodemographic subgroups in college, future research and outreach/institutional programming efforts must pay close attention to these patterns.

Limitations

We acknowledge four key limitations of our study. First, our college student sample is from a single, large, 4-year, residential, public university that likely limits the generalizability of our findings. We therefore encourage other universities to conduct similar studies using similar measures of belonging and alcohol use to better understand key contextual moderators. Second, even though we use a rigorous day- and person-level longitudinal, mixed model analysis, we note that the associations we highlight are not causal. We cannot easily address reverse causation—i.e., whether students drink more or more often to feel like they belong on campus or vice versa—with our research design/models. Third, despite our large sample size (both person- and day-level) overall in the analytic sample, disaggregation by finer-grained race/ethnic, or LGBTQ subgroups is constrained by statistical power. For example, the LGBTQ categorization might mask potential differences by gender- and/or sexual-identity categories that we have not been able to tease out adequately. Finally, although we use an extensively studied measure of belonging uncertainty in college student samples [see 20, 22, 23, 34], we cannot rule out the limitations related to the measurement challenges inherent in belonging assessments used in the literature [44].

Conclusion

Our findings point towards the continued need for more data and research from a variety of institutions as students continue to navigate their college experiences amidst the pandemic. Several studies have found that students from minoritized backgrounds often report lower levels of belonging on days when they experience negative, interpersonal interactions. Interventions that provide more adaptive interpretations of struggles during the transition to college, have buffered students from making global assessments about their sense of belonging, which results in a self-reinforcing cycle of positive outcomes for those students [20, 22]. Such interventions can be further adapted to reduce the likelihood of increased drinking as a strategy for gaining acceptance or feeling more connected.

Despite the limitations identified in the prior section, feelings of isolation and uncertainty about college students’ belonging and connections with peers and colleges might have an unintended consequence—drinking more and more often—particularly for vulnerable, health-disparity populations, that colleges should continue to monitor. In-depth studies of belonging and wellbeing with innovative data collection efforts such as the SELF that includes daily diary assessments help further elucidate the underlying, dynamic processes. We believe that results from these findings will thus be invaluable for informing institutional prevention and outreach efforts, answering national calls to research and action to improve students’ overall mental health and wellbeing [45].

Supporting information

S1 Checklist. Human participants research checklist.

(DOCX)

pone.0310496.s001.docx (54.5KB, docx)
S1 File. Supplemental materials for “College students’ sense of belonging and alcohol use amidst COVID-19: Evidence from a 21-day daily diary study”.

(DOCX)

pone.0310496.s002.docx (34.2KB, docx)

Acknowledgments

We thank Courtney Whetzel and Sandesh Bhandari for their help with survey administration, project management, and data management efforts. All remaining errors are our own.

Data Availability

Data cannot be shared publicly because of the research protocol and IRB rules. Data are available from the authors upon request, who will facilitate Institutional Data Access and Ethics Committee approvals from Penn State IRB for researchers who meet the criteria for access to confidential data. The non-author contact for the data access committee related to this project is Cortney Whetzel (cae130@psu.edu).

Funding Statement

SL acknowledges funding for the survey administration from the Social Science Research Institute, Huck Institutes of the Life Sciences, and the College of Health and Human Development at The Pennsylvania State University. The funders did not play any role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. All remaining errors are our own.

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Decision Letter 0

Yadeta Alemayehu

21 May 2024

PONE-D-23-38054College Students’ Sense of Belonging and Alcohol Use amidst COVID: Evidence from a 21-day Daily Diary StudyPLOS ONE

Dear Dr. Gopalan,

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ACADEMIC EDITOR: You have done an interesting study. However, some modifications are expected to add clarity to the study for the readers or research community. Please revise the manuscript thoroughly as per the comments raised by the authors..

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Reviewer #1: Review PONE-D-23-38054

Overall remarks:

This article presents the relationship between daily sense of belonging to a campus for college students and their alcohol consumption during the COVID-19 pandemic. The authors demonstrated that more uncertainty regarding sense of belonging to the college campus is related to lower alcohol consumption. Underrepresented racial minorities and student identifying to the LGBTQ community reported more uncertainty with their belonging, which was related to higher alcohol use.

This article is overall well written and uses appropriate statistical methods to respond to their research questions. However, it is not publishable in its current state. Throughout this article, slight modifications in the phrasing and corrections could improve dramatically its clarity. Also, content belonging in the results section is presented in the methods and should be moved. Furthermore, methodological issues are not addressed properly and could benefit from transparency and a deeper discussion in the methods or in the limitations section.

Finaly this article seem relevant and could be of interest for the readers of PLOS One.

Abstract:

The abstract is short and present a good overview of the content of this manuscript. However, slight modifications could greatly improve its quality.

- What to you refer to when talking about sense of belonging? To what institution or group’s belonging are you measuring in this article?

- The phrasing of the result section could be improved as the first sentence can be hard to understand at first glance.

Introduction:

The introduction offers a good overview of the current literature and introduces well the concepts used in this manuscript. However, it could benefit from a little introduction to the definition of the sense of belonging and of measures often used to measure it. This could offer a good ground for comparison with the measure used in this project and

- This sentence in the second paragraph is not clear: “Specifically, while some studies found that college students reported heavier use during relative to prior to the pandemic […]” are you referring to before the pandemic? At the beginning of the pandemic?

- The justification for the inclusion of sexual diversity, gender diversity and racial diversity is short, could you add a bit more context for the audience to better understand why these dimensions are important? Most of these populations are at risk for mental health disorder, but is it the case for alcohol use and abuse?

- This affirmation at page 4 needs a citation: “On the prevention side, a key emerging protective factor against adverse mental health outcomes—such as anxiety and depression, which is often a precursor to alcohol use […]”

- This sentence in page 4 is a bit of an overstatement: “Students’ sense of belonging with their campus, often considered a fundamental human motivation (Baumeister & Leary, 1995) […]” the provided reference addresses sense of belonging at large, not something as specific as belonging to a specific campus. You can extend the importance of belonging to a college campus but please rephrase that. The rest of the sentence is really good and could support this extension.

- This sentence in page 4 has no citation to support it: “For example, college students who reported feeling a strong sense of belonging with their institution prior to the onset of the pandemic reported lower levels of depressive symptoms and anxiety during the pandemic, even after controlling for their baseline (pre-COVID) depressive and anxiety symptoms.”

- This sentence in page 5 is very interesting: “First, there is consistent evidence of sociodemographic differences by race/ethnicity, gender, and first-generation college student status in students’ sense of belonging.” but could you give a little bit more information about those results as this could offer already an idea of the direction of your results despite its longer distance between measures.

- This section could benefit greatly from a slight introduction to the concept of belonging, a definition and a quick presentation of the measures often used to quantify this concept. The addition of a footnote in the methods section offers an important clarification of the method used but personally raised more questions regarding this measure, it’s quality and the actual concept measured here.

Methods:

The outline of this section is good, and it is overall well written. Nonetheless the presentation of measures should be dramatically improved for transparency and address eventual methods limitations in the study design and/or statistical analyses.

- I appreciate the transparency regarding ethical requirements in the PLOS ONE form, but could you please add a small statement in the methods section stating the university that you refer to in this sentence page 7: “The university’s Institutional Review Board approved the current study.”

- Descriptive statistics, including table 1 and the paragraph following it before the Measures section should belong in the results section (i.e. “While the analytical sample had a slightly larger proportion of female students than the broader university population (68.5% vs. 47.3% in population), the racial-ethnic composition of the sample (7.8% Hispanic, 2.5% non-Hispanic Black, 70.5% non-Hispanic White, 14.4% non-Hispanic Asian, and 4.7% other/mixed races) was largely similar to that of the population of students at this campus (7.7% Hispanic, 4.3% non-Hispanic Black, 65.2% non-Hispanic White, 6.7% non-Hispanic Asian, and 16.1% other/mixed races). For further details on the Project SELF protocol, please see Lanza and colleagues’ protocol (under review).”).

- The measure of belonging uncertainty is interesting as it seems to capture a large portion of the internal perspective of the student on its situation. It is nonetheless very limited as belonging to a college can have many layers such as belonging to specific groups within this institution, agreeing with this college’s administrative choices, etc. I do not reject this measure but as evoked in the introduction section, I would really like to see more regarding the definition of sense of belonging and addressing this small variable’s eventual limitations in this regard.

- The measure of alcohol used alone or in a social setting is not presented here but included in the analytic plan which is rather confusing.

- The sociodemographic factors used are on one hand relevant and interesting but on the other very limited and incoherent, especially regarding the LGBTQ status. You add a measure regarding LGBTQ status but only offer two choices regarding gender, which is rather antithetic. The LGBTQ status refer to sexual and gender-diversity which are very different dimensions that can have major differences in the observed dynamics. When looking at the provided footnote, this classification as LGBTQ or non-LGBTQ seems to be rather a statistical choice rather than a methodological flaw. This is the same thing for racial groups. The measures in the methods section should be presented raw, as the variables were collected in the design, not as you chose to include it in your statistical analysis. The statistical choices should be provided after the presentation of the measures, so the overall design is totally transparent and your statistical choices too. The lack of diversity in your final sample can be interpreted as a limitation and your choice to group them to curb this limitation can be relevant but transparency is extremely important here. Therefore, I highly recommend reviewing thoroughly this section for us to understand if the limitation regarding sex and gender diversity is a methodological flaw in the study design, or rather a voluntary choice to balance statistical power and your research objectives.

- I appreciate the inclusion of an appendix table to present dynamics in racial subgroups.

- The analytic plan is clear and seem appropriate to respond to your questions.

Results:

The results are overall well presented and seem complete. However, as your sense of belonging variable is reversed, it is a bit more complicated to understand the direction of results.

Discussion and conclusion:

- Did you control for the day of the week when measures were taken? As social events typically occur during weekends, this would be extremely important to measure as students going to an event organized by the college’s student associations for example could feel a higher belonging and consume more alcohol, which could mostly drive your observed effect.

- This sentence needs a citation: “Finally, women, URM, first-generation, and LGBTQ students show slightly higher belonging uncertainty even on a day-to-day basis, largely replicating prior work.”

- The limitation section should underline the limitations regarding LGBTQ and URM groups being the lack of fine measures of LGBTQ status and the grouping of URM groups due to small size as these can have an important influence on results and should be addressed in further studies.

Reviewer #2: Thank you very much for giving me the opportunity to review this article. I found the topic quite interesting, and a very important issue to consider when working with college students. This kind of investigations are necessary to improve the passage of undergraduates through the college years. Although it is very well documented, I have some concerns with the way in which the study has been approached. I have the impression that the approach and the analyses do not coincide with the discussion of the results, as if there were two different objectives.

Introduction:

p. 3 “Given that major differences exist in the impact of COVID-19 on health outcomes by gender, underrepresented racial and ethnic minorities status (URM), first-generation status, and LGBTQ status” How is it? It would be beneficial for the introduction to specify the patterns and the results of the different studies, to better understand which the differences are.

It would be interesting to describe how the situation was in 2021 when the study was implemented. There are countries, such as Spain, where the measures and policies were very strict by then (curfews, limitations on being at the street, limitations on group reunions, etc.). These specific situations may have had an impact on the alcohol use tendencies in college students. If students had to share more time in campus because of some specific policy, maybe it led to a higher sense of belonging, and vice versa. For example, during 2021, in some Spanish universities, students only had to be one of every three weeks present in classes, with the 2 other weeks following remote lessons. This situation irremediably must affect the sense of belonging, particularly in those that 2021 was their first college year. The authors include some reflections in the discussion about this issue, but I feel that it would be positive to address it in the introduction also.

Method and analyses

It is no clear for me if the research questions included where or with whom the participants drank, because it is not the same to drink alone that to meet some friends or colleagues to have some drinks. I believe that this is also an interesting point to consider in this investigation, because I assume that the way and the people you drink with affect in any way to the sense of belonging.

Discussion

Also, although the discussion is very well conducted, and the analyses show interesting results, I got confused during the reading of the manuscript because I do not know if the results were as expected or were completely different. I know that the research questions were mostly descriptive, and that the study design responds to them, but for me was unexpected the result “a higher uncertainty in belonging is related to a less likely of consumption of alcohol”. It is true that the authors explain this result in the discussion, but in the introduction, I could not find information related to this possible result, or to the contrary. In fact, it seems that the main result (that URM population had the opposite behavior than the other groups) has nothing to do with the objective of the study (because it is no mentioned that this result can be achieved).

It is clear that alcohol consumption can be problematic in university students, and that university institutions must address this issue; however, I believe that the future lines of investigation are also scarce. There is potential in the study results that I believe is not being addressed. On the one hand, to implement measures of welcome, of belonging that do not involve alcohol consumption (since, according to the study, the greater the feeling of belonging, the greater the alcohol consumption). On the other hand, what can be done with minority populations (who happen to be the ones who consume more alcohol when they feel less belonging)?

For all these reasons, I consider that the article should be rewritten, emphasizing in the introduction the different points that I have tried to highlight in the review.

Reviewer #3: Overall, the manuscript provides valuable insights into the linkages between a key psychosocial factor—students’ sense of belonging in college—and their alcohol use patterns amidst COVID. The manuscript's findings hold significant value for mental health care and public health services. It is well-written and organized, with a clear introduction that sets the context for the study. However, implementing the recommendations would further improve the clarity, robustness, and applicability of the findings.

General recommendation:

1. Although the language is generally clear, improving sentence structure, selecting better words, and ensuring coherence could enhance readability. Additionally, it is recommended to proofread for grammatical and typographical errors.

2. The reference style does not meet the journal's requirements, and it should adhere to the Vancouver style.

More specific recommendation:

introduction:

The introduction is well-written, concise, and clear, effectively highlighting the gap in the literature and explaining the aim of the present study. The heading for the current study at the end of the introduction is provided very effectively.

Method:

In this section, it is advisable to introduce the study's methodology before delving into the sampling and population. This could include specifying whether the study is qualitative or quantitative, descriptive or applied, and whether it involves multivariate correlation analysis, among other relevant details.

Participant’s part is clear, however:

� Table 1, labeled as "Descriptive Statistics" in this section, should be renamed to avoid misleading the reader. This is because Table 2, titled as "Descriptive Statistics of Participants," also appears in the results section, and it's important to distinguish between the two.

� The paragraph that begins with "In all, 2,068 participants consented and participated in the Student Engagement…" should be titled as "Procedure" as a subheading in the Method section.

Results:

The results section offers a comprehensive presentation of relevant statistical analyses. The tables effectively convey important data necessary for interpreting the results, and the author skillfully avoids redundancy and unnecessary elaboration within the tables.

� However, the titles of the tables need to be more specific and clear for readers.

Discussion:

The discussion part effectively explores the study findings and comparing them with previous research. It appropriately addresses the limitations of the study and suggests avenues for future research.

� It is recommended that the last paragraph of the discussion part be titled "Conclusion" to provide clarity for readers.

� In the last sentence of paragraph 2, which starts with "These findings are in line with prior patterns observed in the literature from cross-sectional…", the reference is missing.

Reviewer #4: Greetings and Regards,

I am so grateful to had an opportunity to read this valuable manuscript.

After a detailed review of the submitted manuscript, below are some notes that may help improve readers' understanding.

1. It is suggested to mention the sampling method.

2. What exclusion criteria were considered?

3. It is suggested to briefly mention ethical considerations and how to obtain consent.

4. Were psychometric criteria such as face validity considered before choosing the question to measure the sense of belonging? How are you sure that the said question has the ability to measure this concept in the population?

5. The second paragraph of the discussion needs some refrences.

6. In the title of the article, it is mentioned that the study was conducted during the Covid pandemic, but there is not much mention of the role of Covid in the level of fear, anxiety and isolation of people, and especially in the discussion part, there is not much mention of it and similar studies.

Reviewer #5: An operational definition of 'belonging' could be included.

The authors may qualify "public university in the Northeast" of so-and-so country under participant inclusion criteria.

It was not very clear whether the authors intended to and/or found drinking alcohol to be indicative of belonging, or if drinking was a coping mechanism for belonging uncertainty.

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Reviewer #1: No

Reviewer #2: No

Reviewer #3: No

Reviewer #4: No

Reviewer #5: No

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Attachment

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pone.0310496.s003.docx (15KB, docx)
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pone.0310496.s004.docx (15.9KB, docx)
PLoS One. 2024 Dec 3;19(12):e0310496. doi: 10.1371/journal.pone.0310496.r002

Author response to Decision Letter 0


8 Jul 2024

Please find response letter attached in the files (Filename: ResponseLetter_R1_Submitted.docx) that includes our detailed responses to reviewer concerns.

Attachment

Submitted filename: ResponseLetter_R1_Submitted.docx

pone.0310496.s005.docx (64.4KB, docx)

Decision Letter 1

Yadeta Alemayehu

6 Aug 2024

PONE-D-23-38054R1College Students’ Sense of Belonging and Alcohol Use amidst COVID: Evidence from a 21-day Daily Diary StudyPLOS ONE

Dear Dr. Gopalan,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

ACADEMIC EDITOR: I want to appreciate the modification you made on the first draft of your article however some minor revisions are still required. Furthermore, please consider the comments provided by reviewers that focuses on the clarification of methodologies and the result. Please submit your revised manuscript by Sep 20 2024 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

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If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

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We look forward to receiving your revised manuscript.

Kind regards,

Yadeta Alemayehu

Academic Editor

PLOS ONE

Journal Requirements:

Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: (No Response)

Reviewer #2: All comments have been addressed

Reviewer #3: All comments have been addressed

Reviewer #5: (No Response)

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2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: Yes

Reviewer #5: Yes

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3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: N/A

Reviewer #3: Yes

Reviewer #5: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: No

Reviewer #2: Yes

Reviewer #3: No

Reviewer #5: Yes

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5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: Yes

Reviewer #5: Yes

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: Review #2 PONE-D-23-38054

Overall, this revised version of this manuscript addressed correctly most of the comments provided by reviewers. I want to thank the authors for their work, their thorough responses to comments, and I believe they improved greatly the quality of this manuscript. However, some modifications are still needed as some aspects have not totally been addressed and some small modifications are needed to ease reading flow and overall comprehension.

I did not identify this earlier, but I believe that the right way to state the COVID pandemic is to specify the COVID-19 pandemic as coronaviruses were present before 2020 and induced epidemics before. Therefore, to properly identify this work in its historical context, it is needed to add the -19 as it refers to the year 2019.

Abstract:

This sentence in the result section is long and unclear: “Results revealed that on days when students felt more uncertain about their belonging (i.e., low belonging) with their colleges, they were less likely to drink, and drink less overall even if they do when back on campus after pandemic-related college closures ended.” Please change the phrasing to clarify it’s meaning. Here is a suggestion: Results revealed that on days when students felt more uncertainty about their sense of belonging to their college (i.e., low belonging), they were less likely to drink, and drink less overall. This effect was also present when students went back on campus after pandemic-related college closures ended indicating a limited effect of measures taken to curb the spread of COVID-19 on the relation between sense of belonging and alcohol consumption.

Introduction:

Overall, this section has been dramatically improved. I appreciate the inclusion of clarifications regarding sense of belonging, as well as inclusion of more detailed presentation of the relevance of including sexual diversity, gender diversity, and racial diversity in your paper. Further comments are only superficial aspects to ease reading flow and clarification for potential lay audiences.

Please add some context in the introduction, especially when using references that are specific to the USA. For example, 4-year universities are a US-specific form of post-secondary education structure that are not necessarily present in other countries. Furthermore, what do you mean by “[…] highest rates of drinking”? Are these students more prone to drinking in general? I suggest rephrasing this to reflect the USA-specific status of the study cited for this sentence and clarify what is meant by highest rates of drinking.

Please identify typos and add commas when necessary. For example, this sentence needs a comma after pandemic: “Lastly, during the pandemic individuals who identify as LGBTQ+ have been at disproportionate risk for mental health concerns and substance use (15,16).”

This sentence looks like the long dash is used as a parenthesis: “On the prevention side, a key emerging protective factor against adverse mental health outcomes—such as anxiety and depression, which often co-occur with alcohol use (e.g., 17), was students’ sense of belonging with their university (18).” If so, please close it.

Some quote marks are not closed: (e.g., “I feel like I belong at [college]; “How […]).

Methods:

Here, also, most comments have been properly addressed or responded. However, two aspects still need to be addressed as they have been partially corrected.

I still believe that descriptive statistics of the sample (as presented in table 1) is a result per se and therefore belongs in the results section. Methods section should only contain information on the questionnaires/measures taken and superficial information on the participants such as recruitment procedure, criteria of inclusion and exclusion to address the “How do you respond to your research question?”. Furthermore, the second paragraph of the “procedure” section, especially starting at: “While the analytical sample […]” also is a presentation of results and do not reflect the recruitment procedure nor methods. I’ll let the authors decide if they want to change this or not.

You addressed partially my comment regarding the LGBTQ question but did not clarify how this status was measured in the first place. Is it a simple binary question “Do you identify as LGBTQ? Yes/No” or was it measured differently? I appreciate the addition of a statement in the discussion section, but this is still not clear in the methods as you still do not clearly state how the measures are taken, nor it is detailed in the table 1. Again, as stated in my previous review, I could understand and agree with such a grouped classification, but your LGBTQ sample is not small with almost 17% of the sample and sexual/gender diversity are different concepts that could present very different realities. Therefore, more justification is needed here if the initial measure was not a binary question. As race/ethnicity is presented in a more stratified fashion, I want to be able to see which aspect of the LGBTQ acronym is so small that you need to group them together. Furthermore, maybe a stratification splitting sexual diversity vs gender diversity could be relevant to reflect and address the heterogeneity in the LGBTQ acronym.

Results:

No problem here.

Discussion/conclusion:

In this section, comments have been mostly addressed too but slight modifications are required.

I believe the limitations section should be before the conclusion as the conclusion is supposed to include all aspects of the article, whether positive or negative. Furthermore, the conclusion should be updated to reflect identified limitations and englobe everything. No need to expand on limitations but a quick sentence acknowledging them and counterbalance it with the strong aspects of your work would be sufficient.

I appreciate the inclusion of identified limitations. However, I will reiterate the fact that aggregation by LGBTQ status is not justified enough here, and the limitation do not address in detail the differences inherent to the large umbrella term of LGBTQ. A simple statement acknowledging this might be sufficient, but it is still needed here.

I appreciate that you addressed my comment about controlling for the day of the week and added a table to reflect this but maybe adding a little sentence in the results/discussion section could help readers identify faster that you addressed this question already. I saw the note under the Table 3, but it is rather discrete. Furthermore, why using Sunday as the reference? Just a small rationale justifying this choice would be enough I believe.

I realized that appendix table A1 has no title. Please add one.

Reviewer #2: I thank the authors for their efforts to improve their article and to answer and discuss all the issues I raised in the first review.

Reviewer #3: Appreciate to the author for incorporating all the revisions based on the reviewer's comments and providing explanations for each change. The revised manuscript demonstrates improved design and writing, with a clear and cohesive introduction and discussion section. Overall, the revised manuscript meets the criteria for acceptance.

Reviewer #5: The authors have not adequately addressed the comments raised in the previous round of review. I request the authors to clearly state things like definitions, sources, references, citations, and so forth that other reviewers and I have suggested. Otherwise, it is difficult to okay the submission for publication.

**********

7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #2: No

Reviewer #3: No

Reviewer #5: No

**********

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

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PLoS One. 2024 Dec 3;19(12):e0310496. doi: 10.1371/journal.pone.0310496.r004

Author response to Decision Letter 1


28 Aug 2024

Document (ResponseLetter_R2.docx) that includes detailed response to all reviewer comments attached.

Attachment

Submitted filename: ResponseLetter_R2.docx

pone.0310496.s006.docx (41.7KB, docx)

Decision Letter 2

Yadeta Alemayehu

2 Sep 2024

College Students’ Sense of Belonging and Alcohol Use amidst COVID-19: Evidence from a 21-day Daily Diary Study

PONE-D-23-38054R2

Dear Dr. Maithreyi,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

An invoice will be generated when your article is formally accepted. Please note, if your institution has a publishing partnership with PLOS and your article meets the relevant criteria, all or part of your publication costs will be covered. Please make sure your user information is up-to-date by logging into Editorial Manager at Editorial Manager® and clicking the ‘Update My Information' link at the top of the page. If you have any questions relating to publication charges, please contact our Author Billing department directly at authorbilling@plos.org.

If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

Yadeta Alemayehu

Academic Editor

PLOS ONE

Acceptance letter

Yadeta Alemayehu

19 Nov 2024

PONE-D-23-38054R2

PLOS ONE

Dear Dr. Gopalan,

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now being handed over to our production team.

At this stage, our production department will prepare your paper for publication. This includes ensuring the following:

* All references, tables, and figures are properly cited

* All relevant supporting information is included in the manuscript submission,

* There are no issues that prevent the paper from being properly typeset

If revisions are needed, the production department will contact you directly to resolve them. If no revisions are needed, you will receive an email when the publication date has been set. At this time, we do not offer pre-publication proofs to authors during production of the accepted work. Please keep in mind that we are working through a large volume of accepted articles, so please give us a few weeks to review your paper and let you know the next and final steps.

Lastly, if your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

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Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Mr. Yadeta Alemayehu

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Checklist. Human participants research checklist.

    (DOCX)

    pone.0310496.s001.docx (54.5KB, docx)
    S1 File. Supplemental materials for “College students’ sense of belonging and alcohol use amidst COVID-19: Evidence from a 21-day daily diary study”.

    (DOCX)

    pone.0310496.s002.docx (34.2KB, docx)
    Attachment

    Submitted filename: PONE-D-23-38054 .docx

    pone.0310496.s003.docx (15KB, docx)
    Attachment

    Submitted filename: PONE-D-23-38054_reviewer comments.docx

    pone.0310496.s004.docx (15.9KB, docx)
    Attachment

    Submitted filename: ResponseLetter_R1_Submitted.docx

    pone.0310496.s005.docx (64.4KB, docx)
    Attachment

    Submitted filename: ResponseLetter_R2.docx

    pone.0310496.s006.docx (41.7KB, docx)

    Data Availability Statement

    Data cannot be shared publicly because of the research protocol and IRB rules. Data are available from the authors upon request, who will facilitate Institutional Data Access and Ethics Committee approvals from Penn State IRB for researchers who meet the criteria for access to confidential data. The non-author contact for the data access committee related to this project is Cortney Whetzel (cae130@psu.edu).


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