Episode
2026-04-29 – 2026-05-06
143 papers
Covered in this episode
Papers:
Use of Instagram and its effect on the mental well-being of university students: A perspective from Pakistan
Perceived employability as a dual resource: modeling career success during the university-to-work transition
Effectiveness of Structured Near PeerGuided Mentorship Intervention in Improving Academic Performance and Mental Wellbeing among University Nursing Students: A Quasi-experimental Study
Effect of an Integrated Physical Activity and Nutrition Education Program Delivered by Physical Educators
+11 more
Transcript 44 lines
Cold Open
Jenny
When you’re stressed at school or work, what actually helps more: advice from an expert, or support from someone just a step ahead of you?
Davis
Step ahead, almost every time, because they can say, "Here’s the exact thing I did on Tuesday," and it makes the next move feel doable.
Jenny
Okay but is that the person, or is it just attention with a friendly face, like, anyone checking in would help?
Davis
Maybe, but there’s something about near-peers where you can ask the dumb question without feeling dumb, and you copy a real routine instead of a perfect one.
Jenny
And that’s why I can’t stop thinking about a mentoring setup for early-year nursing students that lined up with better wellbeing and better grades, so let’s unpack what kind of support actually moves the needle...welcome to Wellbeing and Education on paperboy.fm.
Stats Overview
Davis
Stats check for the week: we pulled about twelve hundred total hits, and we actually analyzed all 1,239 of them. From that, 143 papers made the cut, written by about four hundred unique authors across 36 countries.
Jenny
And the qualified set ticked up to 143 from 139, so about a 3% increase, even though the raw feed got smaller. What changed in our filters or in the mix of methods—because this week is heavy on qualitative work at 50 papers and surveys at 48, which can be easier to include than, say, a one-off intervention with messy reporting.
Davis
Yeah, total hits fell hard: 1,239 down from 1,806, a 31% drop, but the keepers still rose a bit. That smells like less noise and a tighter cluster around education-and-wellbeing questions, with higher education leading at 19 papers and mental health next at 10, which fits our through-line that support systems around learning matter more than a single magic program.
Jenny
Geographic spread narrowed too: 36 countries this week versus 48 last week, a 25% decrease, and we’ve got zero city metadata, so we can’t sanity-check whether this is concentrated in a few urban research hubs. Top countries are Indonesia at 18, India at 11, and China at 10—so are we seeing a real regional swing, or just what got indexed and tagged this week?
Davis
One more lens I like is who’s publishing: out of about 405 authors, 114 are first-time authors—meaning their first-ever paper—so about 28%, and another 197 are emerging, about 49%, with 94 experienced, about 23%. That’s a pipeline-heavy week, which might explain why we’re seeing lots of inclusive education at 9 and early childhood at 8—practical, context-rich topics that show up a lot in qualitative and survey work.
Paper Walkthrough
Paper 1 Use of Instagram and its effect on the mental well-being of university students: A perspective from Pakistan
Jenny
Alright, let’s get into the papers, and paper one is called Use of Instagram and its effect on the mental well-being of university students: A perspective from Pakistan.
Jenny
It’s a two-author PLOS Global Public Health study from twenty twenty-six, and they surveyed five hundred fifteen university students, ages eighteen to twenty-five, in Islamabad.
Jenny
Plain version first: the more Instagram students reported using, the worse they tended to feel, and the story runs through self-esteem and comparison.
Jenny
They model it like this: Instagram use predicts lower self-esteem, and lower self-esteem predicts more depression, with a big link on that first step, beta minus zero point six six one, p less than point zero zero one.
Jenny
And self-esteem to depression is also strong, beta minus zero point four three nine, p less than point zero zero one, so when self-esteem is in the model, the direct Instagram-to-depression link fades out, which is what they call full mediation, meaning the pathway is basically carried through self-esteem.
Davis
Okay, but how did they actually measure “Instagram use” and “depression,” and what would convince us this isn’t just correlation where depressed students scroll more?
Jenny
It’s an online self-report survey, and they run a conditional mediation model in SmartPLS, which is basically testing a chain of relationships and whether that chain changes depending on a third factor.
Jenny
The indirect effect from Instagram use to depression through self-esteem is beta zero point two nine zero, p less than point zero zero one, and the “comparison” piece is upward comparison, meaning how much you look at people who seem better off and measure yourself against them.
Jenny
That moderated mediation index is beta minus zero point zero three five, p equals point zero one six, and the indirect effect is smaller for high upward comparison, about zero point one one six, versus about zero point two zero one for low upward comparison.
Jenny
But the big limitation is it’s convenience sampling from two universities in Islamabad and everything is self-reported in one shot, so it’s solid pattern-finding, not a causal verdict you can generalize to all of Pakistan.
Davis
I like that the practical lever isn’t “ban the app,” it’s “support the person,” because if the mechanism is self-esteem, then campus counseling, mentoring, and even how instructors give feedback could matter more than screen-time rules.
Davis
And it fits our through-line that support shapes wellbeing, but with a caution label: five hundred fifteen is a real sample and the stats are tight, yet it’s still one city, two campuses, and a lot of feelings measured by checkbox.
Paper 2 Perceived employability as a dual resource: modeling career success during the university-to-work transition
Davis
You just said “five hundred fifteen is a real sample,” and I’ve got one in that same ballpark, but stretched over time in Singapore.
Davis
It’s called Perceived employability as a dual resource: modeling career success during the university-to-work transition, and it tracks three hundred eighty-five grads from graduation to one year out to two years out.
Davis
Plain version: if you feel employable when you graduate, you tend to land in a job that fits you better and you feel less career stress in that first year, and that combo predicts feeling more successful by year two.
Davis
They test it with cross-lagged structural equation modeling, which is a way to see whether earlier measures predict later ones while accounting for the fact that things influence each other over time.
Jenny
Okay, but what are they calling “subjective career success” here, and how sure are we the arrow really runs from feeling employable to later success instead of “the people who get good jobs quickly just rewrite the story in their head”?
Davis
They’re explicit that the outcome is subjective career success, so it’s the graduate’s own rating of how well their career is going, not salary or promotions, and they measure it at the two-year mark.
Davis
Direction-wise, they start with perceived employability at graduation, then check whether it predicts person–job fit and career distress one year later, and the paper says those two fully mediate the link to career success at two years, meaning the effect runs through “fit up, distress down” rather than a direct line.
Davis
But it’s still one country and one labor market context, so even with three waves and decent modeling, we should be cautious about assuming the same chain holds in, say, a weaker safety net or a more volatile hiring market.
Jenny
I like how this rhymes with our Instagram paper, because the lever isn’t “control the environment,” it’s “build the buffer,” and here the buffer is employability as both skills and a mindset.
Jenny
If I’m running career services, I’m hearing “don’t just teach resumes,” I’m hearing “help grads get early job fit and reduce distress in that first year,” because that’s the bridge to feeling successful later.
Jenny
And the evidence feels sturdier than a one-shot survey since they followed three hundred eighty-five people for two years, even if we still don’t know how portable Singapore’s story is.
Paper 3 Effectiveness of Structured Near PeerGuided Mentorship Intervention in Improving Academic Performance and Mental Wellbeing among University Nursing Students: A Quasi-experimental Study
Jenny
You just said “build the buffer,” and I’ve got a very literal buffer next—structured support for the students who are already wobbling.
Jenny
It’s called Effectiveness of Structured Near PeerGuided Mentorship Intervention in Improving Academic Performance and Mental Wellbeing among University Nursing Students, and it’s a two-thousand twenty-six quasi-experimental pre–post study from a nursing institute in Karnataka, India.
Jenny
Plain version: they screen a whole cohort, pick the students doing worst, pair them with near-peers, and both grades and wellbeing go up.
Jenny
They screened two hundred forty-nine undergrad nursing students with WEMWBS—the Warwick-Edinburgh Mental Wellbeing Scale, which is basically a questionnaire score for how mentally well you’ve felt lately—and then selected eighty first- and second-year students whose formative assessment scores were under fifty percent.
Jenny
After the near peer-guided mentoring, both academic performance and mental wellbeing improved, and the paper reports the pre–post changes as statistically significant with p less than zero point zero zero one.
Davis
Okay, but without random assignment, how do we know that jump wasn’t just time passing, extra attention, or regression to the mean—like, of course the lowest scorers tend to drift upward on the next test?
Jenny
That’s the core weakness here: it’s a single-institution pre–post design, so you can’t cleanly separate “mentoring did it” from everything else happening over the term, including simple practice effects and attention.
Jenny
What they did do is pretty structured: they first used WEMWBS in English, checked internal consistency with Cronbach’s alpha, then targeted only year one and two students flagged by both lower wellbeing and under-fifty formative scores, and compared each student to themselves using a paired t-test in SPSS.
Davis
Still, as a “what can schools change” move, I get why this is attractive—near-peer mentoring is cheap, scalable, and it’s aimed right at the bottleneck years when people are most likely to drop or burn out.
Davis
I just want whoever pilots this to add a comparison group next time, because with only eighty students in one place, the signal feels promising but not yet bulletproof.
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