{
  "investigation": "religion-mental-health",
  "investigation_number": 6,
  "title": "God, Jobs, or Dopamine: What Actually Broke America?",
  "url": "https://claudereviews.com/data/religion-mental-health/",
  "datasets": [
    {
      "id": "effect_sizes_attendance",
      "name": "Effect Sizes — Religious Attendance & Health Outcomes",
      "file": "/data/raw/csv1_effect_sizes_religious_attendance.csv",
      "rows": 31,
      "columns": 11,
      "description": "Hazard ratios, odds ratios, and relative risks for weekly religious attendance across mortality, depression, suicide, substance use, and other outcomes. Sources include Harvard outcome-wide analyses (GUTS, NHS-II, HRS) and NESARC-III.",
      "source": "Chen, Kim & VanderWeele 2020; Li et al. 2016; VanderWeele et al. 2016; Weinberger et al. 2022; Garssen et al. 2021",
      "years": "Various cohorts, 1992–2020",
      "key_fields": ["outcome", "measure", "effect_size", "ci_lower", "ci_upper", "direction", "study", "sample_size"]
    },
    {
      "id": "attendance_timeseries",
      "name": "Religious Attendance Timeseries 1937–2025",
      "file": "/data/raw/csv2_religious_attendance_timeseries.csv",
      "rows": 34,
      "columns": 6,
      "description": "Weekly attendance, church membership, no religious affiliation, and self-rated importance of religion. Gallup question wording: 'church, synagogue, mosque or temple.'",
      "source": "Gallup; Pew Research Center; General Social Survey",
      "years": "1937–2025",
      "key_fields": ["year", "weekly_attendance_pct", "church_membership_pct", "no_religious_affiliation_pct", "religion_very_important_pct"]
    },
    {
      "id": "suicide_treatment",
      "name": "Suicide Rate & Treatment Expansion 1990–2023",
      "file": "/data/raw/csv3_suicide_treatment_timeseries.csv",
      "rows": 17,
      "columns": 6,
      "description": "Suicide rate per 100k, antidepressant utilization, mental health treatment rates, and total suicide deaths. The treatment paradox: six-fold treatment increase, rising suicide.",
      "source": "CDC WONDER; NCHS/NHANES; SAMHSA/NHIS",
      "years": "1990–2023",
      "key_fields": ["year", "suicide_rate_per_100k", "adults_on_antidepressants_pct", "adults_receiving_mh_treatment_pct", "suicide_deaths_total"]
    },
    {
      "id": "marriage_coupling",
      "name": "Marriage & Coupling Timeseries 1950–2023",
      "file": "/data/raw/csv4_marriage_coupling_timeseries.csv",
      "rows": 19,
      "columns": 7,
      "description": "Adults living as couples, cohabitation rates, never-married rates, married-couple households, and young adult marriage rates.",
      "source": "U.S. Census Bureau; Current Population Survey",
      "years": "1950–2023",
      "key_fields": ["year", "adults_living_as_couples_pct", "cohabitation_rate_pct", "never_married_25plus_pct", "young_adults_18_34_married_pct"]
    },
    {
      "id": "private_vs_public_religiosity",
      "name": "Private vs. Public Religiosity — Health Associations",
      "file": "/data/raw/csv10_private_vs_public_religiosity.csv",
      "rows": 23,
      "columns": 6,
      "description": "Comparison of health associations for attendance vs. private prayer, intrinsic religiosity, self-rated importance, and affiliation — each tested in isolation.",
      "source": "VanderWeele et al. 2016b; European Values Survey; Shattuck & Muehlenbein 2020; Balbuena et al. 2013; Lawrence et al. 2016",
      "years": "Various",
      "key_fields": ["religiosity_dimension", "outcome", "association_strength", "direction"]
    },
    {
      "id": "monastic_studies",
      "name": "Monastic & Contemplative Studies",
      "file": "/data/raw/csv13_monastic_contemplative_studies.csv",
      "rows": 12,
      "columns": 9,
      "description": "Key studies on monastic populations: the Cloister Study (n=11,000+), SES-mortality gradient (n=2,421), blood pressure in nuns, fitness-cognition in elderly monks.",
      "source": "Luy 2003; Schmitz et al. 2025; Timio et al. 1999; Bowen et al. 2017",
      "years": "1890–2025",
      "key_fields": ["authors", "year", "sample", "key_finding"]
    },
    {
      "id": "technology_adoption",
      "name": "Smartphone & Social Media Adoption 2005–2025",
      "file": "/data/raw/csv21_technology_adoption_timeseries.csv",
      "rows": 19,
      "columns": 4,
      "description": "Smartphone ownership and social media usage rates, matched with weekly attendance for the displacement analysis.",
      "source": "Pew Research Center",
      "years": "2005–2025",
      "key_fields": ["year", "smartphone_ownership_pct", "social_media_usage_pct"]
    },
    {
      "id": "union_membership",
      "name": "Union Membership Density 1954–2024",
      "file": "/data/raw/csv22_union_membership_timeseries.csv",
      "rows": 14,
      "columns": 3,
      "description": "Union density as percentage of workforce, used in the synchronized institutional collapse analysis.",
      "source": "Bureau of Labor Statistics",
      "years": "1954–2024",
      "key_fields": ["year", "union_density_pct"]
    },
    {
      "id": "willpower_gradient",
      "name": "Willpower Gradient — Binding & Selection",
      "file": "/data/raw/csv25_willpower_gradient_binding.csv",
      "rows": 20,
      "columns": 8,
      "description": "Mental health outcomes across populations selected for discipline: special operations, elite athletes, general military, monks/nuns. Tests whether willpower alone explains monastic outcomes.",
      "source": "Pentagon Annual Report on Suicide 2024; SOCOM; Sports Medicine systematic review 2024; Luy 2003; Poulain 2012",
      "years": "Various",
      "key_fields": ["population", "variable", "value", "comparison", "direction"]
    },
    {
      "id": "appalachian_despair",
      "name": "Appalachian Diseases of Despair 1999–2023",
      "file": "/data/raw/csv28_appalachian_despair.csv",
      "rows": 14,
      "columns": 5,
      "description": "Diseases of despair mortality (suicide + overdose + alcoholic liver disease) per 100,000, ages 15–64, age-adjusted. Appalachian region vs. non-Appalachian U.S.",
      "source": "Appalachian Regional Commission / NORC at University of Chicago; CDC WONDER NVSS",
      "years": "1999–2023",
      "key_fields": ["year", "appalachian_rate", "non_appalachian_rate", "gap_pct"]
    }
  ]
}