PAYS 2025Pennsylvania Youth Survey Explorer

AI Prevention Insights

AI-assisted interpretation of PAYS 2025

Topic-by-topic synthesis to help coalitions read the statewide data faster. AI supports interpretation — your community sets priorities.

Strong concernEmerging concernPositive trendProtective strengthRequires local validation

AI assists interpretation. It does not set priorities.

The summaries, discussion prompts, and suggested actions below are AI-generated framing of the published 2025 PAYS statewide findings. They are starting points for local conversation, not recommendations. Priority setting belongs to the coalition, informed by community voice, local data, and professional judgment. Page references point to the official statewide report.

How to read these cards

Each card pairs a statewide finding with prompts and options at the local level. Labels flag the kind of attention a topic likely warrants.

Interpretation, not direction

Use the cards to accelerate sense-making across many indicators. Decisions still flow through your coalition's prioritization process.

Requires local validation

Statewide percentages can hide important variation. Triangulate with district, hospital, and community data before acting.

Cite the source

Each card lists page references in the 2025 PAYS Statewide Report so findings can be verified and quoted directly.

Topic insights

Six topic cards aligned to the major sections of the 2025 statewide report.

Substance Use

PAYS 2025 Statewide Report, pp. 18–42

Positive trendEmerging concern

Key finding: 30-day alcohol (9.1%), vaping (6.3%), and cannabis (4.3%) use continue a multi-year decline, but vaping prevalence still climbs sharply between 8th and 12th grade.
Prevention significance: Falling overall use suggests universal prevention and policy efforts are holding. Grade-based escalation of nicotine vaping signals where selective and indicated strategies should be concentrated.
Discussion questions: Where in our county does grade-level escalation in vaping look steepest?
Which protective factors are weakening as students move from 8th to 12th grade?
Are our messaging and enforcement efforts aligned with the products students actually use?
Possible coalition actions: Refresh middle-to-high school transition prevention curriculum.
Coordinate retailer compliance checks on flavored nicotine products.
Pair school-based screening with brief intervention pathways.
Data limitations: Self-report under-counts heavy users and absent students. Statewide averages mask district and demographic variation (see report pp. 12–14 on methodology).
Local data needed: District-level 30-day and lifetime use by grade
Retailer compliance check pass/fail rates
ED visits and EMS calls for adolescent substance events

View underlying evidence

Jump to the exact table, chart, or indicator this summary draws from.

Mental Health

PAYS 2025 Statewide Report, pp. 60–78

Strong concernRequires local validation

Key finding: 32.8% of students report persistent sadness; 14.2% considered suicide and 11.6% made a plan in the past year, with peaks in 8th and 10th grade.
Prevention significance: These indicators sit at levels that warrant a coordinated crisis-response and upstream strategy. Grade-level peaks help target screening and supports.
Discussion questions: Do our schools have a documented pathway from screener to clinical follow-up?
Which subgroups in our community face the highest reported distress?
How are we measuring whether peer-support programs reach those most at risk?
Possible coalition actions: Adopt or expand evidence-based universal screening with referral protocols.
Fund and train peer-support and trusted-adult initiatives in middle schools.
Map and publish a single-source crisis and warm-handoff directory.
Data limitations: PAYS items measure self-reported feelings and behaviors; they do not diagnose. Suicide-risk items require careful local interpretation alongside hospital and coroner data.
Local data needed: School counselor caseloads and wait times
988 and crisis-line call volume by ZIP/county
Youth ED visits for self-harm and suicidal ideation

View underlying evidence

Jump to the exact table, chart, or indicator this summary draws from.

Screen Time

PAYS 2025 Statewide Report, pp. 80–88

Emerging concernRequires local validation

Key finding: 36.3% of students report 4+ hours of daily recreational screen time, with higher rates among older students and a correlation with sleep and mood indicators.
Prevention significance: Heavy recreational screen use is a modifiable behavior linked to mental health and academic outcomes; it is also one of the easiest topics to engage families on.
Discussion questions: How does screen-time pattern interact with reported sadness in our schools?
What family-norm work is already happening locally that we can amplify?
Where can device-free time be built into the school day?
Possible coalition actions: Launch a parent-facing media-balance campaign with school partners.
Pilot phone-free classroom or lunch policies and evaluate.
Integrate sleep, screens, and mood into health curriculum.
Data limitations: PAYS captures self-estimated hours, not content type or context. The behavior most worth changing may differ from raw time totals.
Local data needed: Existing district phone/device policies and outcomes
Parent survey data on household media rules
Local sleep and absenteeism trends

View underlying evidence

Jump to the exact table, chart, or indicator this summary draws from.

Gambling

PAYS 2025 Statewide Report, pp. 90–96

Emerging concern

Key finding: 18.4% of students report lifetime gambling; sports betting is the fastest-growing format, reaching 11.7% among 12th graders.
Prevention significance: Youth gambling is under-recognized in most prevention plans. Sports-betting growth tracks the post-legalization advertising environment and warrants proactive prevention infrastructure.
Discussion questions: Is youth gambling addressed in any current curriculum or policy locally?
What advertising exposure are our students seeing in stadiums, streams, and apps?
Who locally treats youth gambling disorder, and is that capacity known?
Possible coalition actions: Add gambling-literacy modules to existing health/SUD curriculum.
Train school staff and pediatricians to screen for risky gambling.
Coordinate with state Gaming Control Board on youth-facing prevention.
Data limitations: PAYS measures participation, not disorder. Informal betting (cards, video games with loot mechanics) is likely under-captured.
Local data needed: Helpline call volume for youth/young-adult gambling
Treatment provider capacity for problem gambling
School policy review for gambling-adjacent activities

View underlying evidence

Jump to the exact table, chart, or indicator this summary draws from.

School Climate & Safety

PAYS 2025 Statewide Report, pp. 100–118

Protective strengthStrong concern

Key finding: 83.2% of students feel safe at school, yet 21.4% report being bullied at school and 12.8% report being cyberbullied in the past year.
Prevention significance: Overall safety is a real asset to build on. Bullying — especially cyberbullying — remains a concentrated harm with measurable effects on attendance and mental health.
Discussion questions: Where do reports of bullying cluster — by school, grade, or identity group?
How well are existing reporting and response systems trusted by students?
How do school-connectedness scores compare across our buildings?
Possible coalition actions: Audit and publicize bullying reporting and follow-up procedures.
Invest in evidence-based climate programs (e.g., restorative practices, SEL).
Engage students in co-designing safer digital norms.
Data limitations: Climate items are perception-based and influenced by recent incidents. Cyberbullying items may not capture group-chat dynamics or platform-specific harms.
Local data needed: Incident reports, suspensions, and attendance data
Student focus groups on reporting and response trust
Cross-walk with school-level academic and engagement data

View underlying evidence

Jump to the exact table, chart, or indicator this summary draws from.

Risk & Protective Factors

PAYS 2025 Statewide Report, pp. 120–148

Protective strengthRequires local validation

Key finding: Family attachment (69%), school prosocial opportunities (61%), and peer social skills (72%) score as community-wide strengths; community disorganization (29%) and low school commitment (34%) are the most elevated risks.
Prevention significance: The CTC framework points coalitions to leverage points: build on strengths and prioritize the two or three highest-leverage risks rather than trying to move every factor at once.
Discussion questions: Which two risk factors should we prioritize for the next 12–18 months?
Which protective strengths can be scaled across more schools or neighborhoods?
Do our funded programs map cleanly to the prioritized factors?
Possible coalition actions: Run a Communities That Care–style factor prioritization with local data.
Re-align prevention contracts to the prioritized factors.
Publish a factor-to-program crosswalk for transparency.
Data limitations: Statewide scale percentages obscure neighborhood variation. Factor scores are meaningful only when interpreted alongside community context.
Local data needed: Sub-county CTC scale scores where sample sizes allow
Asset maps of existing prosocial opportunities
Qualitative input from youth, families, and providers

View underlying evidence

Jump to the exact table, chart, or indicator this summary draws from.

Methodology note

Insights were drafted by an AI assistant from the published 2025 PAYS statewide aggregates and reviewed for consistency with the report's framing. They have not been independently validated against any single county's data. Where page references are approximate, confirm against the official PDF before quoting.

Subgroup spotlight

AI-summarized subgroup patterns to watch as you read the topic pages. Always confirm against the official report before quoting.

LGBQ+ students

Cross-cutting

Higher distress, bullying, and substance-use risk in nearly every domain

Multi-risk concentration

~12%

Of students account for the majority of severe-tier indicators

Protective-factor gap

−18 pts

Lower 'opportunities for prosocial involvement' in highest-risk schools

Subgroup cells with n < 30 are suppressed. See methodology.