Hope Under Pressure: Massive Iranian Survey Reveals What Keeps Our Social Lives Healthy

What makes someone good at connecting with other people? It sounds like a question for philosophers, but a team of Iranian researchers has now answered it with one of the largest social health surveys ever conducted, drawing on responses from 18,754 adults across every one of Iran’s 31 provinces. Their findings, published in BMC Public Health, paint a strikingly detailed picture of how personal circumstances, inner psychological states, and the very structure of society combine to shape our capacity for human connection. And buried in the statistics is a warning about inequality that resonates far beyond Iran’s borders.

The study, led by Fardin Alipour of the University of Social Welfare and Rehabilitation Sciences in Tehran, together with epidemiologist Yahya Salimi of Kermanshah University of Medical Sciences and colleagues, set out to measure something that health research has long treated as an afterthought: interpersonal social health. While physical and mental health dominate public health agendas, social health, the quality of a person’s relationships, their sense of belonging, and their ability to give and receive support, has increasingly been recognised as a third pillar of holistic wellbeing. What has been missing is rigorous, large-scale evidence distinguishing the interpersonal dimension, how people actually relate to one another, from the institutional dimension, how people relate to the organisations and systems around them.

To fill that gap, the researchers deployed a validated 39-item instrument called the Interpersonal Social Health Questionnaire, or ISHQ, which produces scores ranging from 39 to 195. Data collection took place in 2025 using a proportional, stratified, multistage cluster sampling design, a method that ensures the sample mirrors the actual population distribution of urban Iran rather than over-representing easily accessible cities. Adults aged 18 and older were recruited from urban areas in all 31 provinces, and the final analytical sample of 18,754 participants gives the study statistical power that few surveys of social functioning anywhere in the world can match. The research was funded by the Deputy for Research and Technology of Iran’s Ministry of Health and Medical Education and approved by the ethics committee of the University of Social Welfare and Rehabilitation Sciences.

The headline number is a mean interpersonal social health score of 142.83, with a standard deviation of 22.57. But the more revealing finding concerns where those scores cluster. Using multilevel mixed-effects models, a statistical technique designed for data that is nested within larger groupings, the team found that roughly 5.5 percent of the variation in social health occurred at the provincial level and 11.4 percent at the county level. In plain terms, where you live matters. Two statistically identical individuals living in different counties could be expected to show meaningfully different social health scores simply because of the local context surrounding them. This clustering is exactly the kind of signal that ordinary single-level regression models would miss or misattribute.

The multilevel approach also allowed the researchers to test which individual characteristics predicted stronger or weaker interpersonal social health. The results follow a recognisable but important pattern: older age, being female, being married, higher educational attainment, employment, and higher socioeconomic status were all associated with higher scores. On the flip side, being divorced or separated and having lower educational attainment predicted lower scores. Each of these associations survived the full adjustment for other variables, suggesting they are not merely proxies for one another. Marriage, for instance, may provide a built-in network of daily interaction and support, while employment embeds people in structured social contact and confers a sense of role and purpose that spills over into broader relationships.

One of the most technically interesting results is the shape of the socioeconomic gradient. Rather than rising steadily with wealth, interpersonal social health showed a non-linear relationship with socioeconomic status: scores climbed across the lower and middle quintiles but plateaued at the highest quintile, with no further increase among the most affluent. This kind of diminishing-returns curve has been observed for other health outcomes, but seeing it for social connectedness is notable. It suggests that beyond a certain threshold of material security, additional income does not buy additional quality of relationships. Money can remove barriers to social participation, but it cannot, by itself, manufacture intimacy, trust, or belonging.

The psychological variables proved equally consequential. Greater life satisfaction and greater health satisfaction were both positively associated with interpersonal social health, while psychological distress was negatively associated. This pattern is consistent with a bidirectional dynamic that clinicians will recognise immediately: people who feel satisfied with their lives tend to engage more openly with others, and people embedded in supportive relationships tend to report higher satisfaction and lower distress. The cross-sectional design of the study means the arrow of causation cannot be determined, a limitation the authors are explicit about. Distress may erode relationships, strained relationships may generate distress, or both processes may run simultaneously in a feedback loop.

But the study’s most striking contribution lies in its structural findings, where individual psychology meets societal architecture. The researchers measured social hope, an individual’s sense of optimism about society’s collective future, and found it positively associated with interpersonal social health, with a coefficient of 0.23, a standardised beta of 0.04, and a p-value below 0.001. More remarkable still was what happened at the provincial level. Provincial income inequality, measured across Iran’s provinces, was negatively associated with interpersonal social health, with a coefficient of minus 50.81, a standardised beta of minus 0.10, and a p-value of 0.03. Living in a province with a wider gap between rich and poor was linked to worse relational health, independent of one’s own socioeconomic position.

Then came the interaction that elevates the study from descriptive to genuinely provocative. The positive association between social hope and interpersonal social health was weaker in provinces with greater income inequality. In other words, hope is not a fixed psychological resource that works the same way everywhere. In more unequal places, the protective, connection-building power of hope appears to be blunted. The authors’ interpretation, grounded in well-established theories of the psychosocial effects of inequality, is that stark disparities between social groups erode trust, sharpen status anxiety, and weaken the shared civic fabric that allows individual optimism to translate into genuine social engagement. Hope, it seems, needs fertile social ground to take root.

The implications stretch well beyond Iran. Social health is increasingly framed as a determinant of population wellbeing in its own right, linked in prior literature to mortality, mental illness, and resilience in the face of shocks. If interpersonal social health varies systematically not only with who people are but with where they live and how unequal their surroundings are, then public health policy cannot treat social connection as a purely private matter. Interventions that target individual distress or loneliness may underperform in highly unequal contexts unless they are paired with structural measures that narrow disparities and rebuild collective trust. The authors caution that their cross-sectional design forbids causal inference and call for longitudinal and mixed-methods research to track how changes in psychosocial and structural contexts relate to interpersonal social health over time. That caution is warranted, but it does little to blunt the study’s central message. With nearly nineteen thousand respondents, coverage of an entire nation’s urban population, and a modelling strategy that respects the nested structure of human life, this survey offers some of the strongest evidence yet that the health of our relationships is written not just in our biographies but in the shape of our societies. How we distribute resources, the data suggest, may shape how we connect with one another, and hope alone cannot bridge a widening gap.

Subject of Research: Multilevel predictors of interpersonal social health among urban adults in Iran

Article Title: Multilevel predictors of interpersonal social health: findings from the social health survey in urban Iran

Article References: Alipour, F., Salimi, Y., Rafiey, H., Vameghi, M., Ahmadi, S., & Paykani, T. (2026). Multilevel predictors of interpersonal social health: findings from the social health survey in urban Iran. BMC Public Health. https://doi.org/10.1186/s12889-026-29581-6

Image Credits: AI Generated

DOI: 10.1186/s12889-026-29581-6

Keywords: interpersonal social health, multilevel analysis, social well-being, income inequality, social hope, psychological distress, Iran, public health, socioeconomic status, life satisfaction, social determinants of health, BMC Public Health