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Changes for page Research at a Glance

Last modified by Ryan C on 2025/06/26 03:09

From 62.1 to 61.1 From 69.1 to 68.1

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@@ -46,413 +46,5 @@
  - Reinforces the reliability of **self-reported racial identity** in genetic research.
  - Highlights **policy considerations** in biomedical studies.
--{{/expand}}
--{{expand title="Study: [Study Title] (Click to Expand)" expanded="false"}}
--**Source:** [Journal/Institution Name]
--**Date of Publication:** [Publication Date]
--**Author(s):** [Author(s) Name(s)]
--**Title:** "[Study Title]"
--**DOI:** [DOI or Link]
--**Subject Matter:** [Broad Research Area, e.g., Social Psychology, Public Policy, Behavioral Economics]
-----
--
--## **Key Statistics**
--1. **General Observations:**
--   - [Statistical finding or observation]
--   - [Statistical finding or observation]
--
--2. **Subgroup Analysis:**
--   - [Breakdown of findings by gender, race, or other subgroups]
--
--3. **Other Significant Data Points:**
--   - [Any additional findings or significant statistics]
--
-----
--
--## **Findings**
--1. **Primary Observations:**
--   - [High-level findings or trends in the study]
--
--2. **Subgroup Trends:**
--   - [Disparities or differences highlighted in the study]
--
--3. **Specific Case Analysis:**
--   - [Detailed explanation of any notable specific findings]
--
-----
--
--## **Critique and Observations**
--1. **Strengths of the Study:**
--   - [Examples: strong methodology, large dataset, etc.]
--
--2. **Limitations of the Study:**
--   - [Examples: data gaps, lack of upstream analysis, etc.]
--
--3. **Suggestions for Improvement:**
--   - [Ideas for further research or addressing limitations]
--
-----
--
--## **Relevance to Subproject**
--- [Explanation of how this study contributes to your subproject goals.]
--- [Any key arguments or findings that support or challenge your views.]
--
-----
--
--## **Suggestions for Further Exploration**
--1. [Research questions or areas to investigate further.]
--2. [Potential studies or sources to complement this analysis.]
--
-----
--
--## **Summary of Research Study**
--This study examines **[core research question or focus]**, providing insights into **[main subject area]**. The research utilized **[sample size and methodology]** to assess **[key variables or measured outcomes]**.
--
--This summary provides an accessible, at-a-glance overview of the study's contributions. Please refer to the full paper for in-depth analysis.
--
-----
--
--## **📄 Download Full Study**
--{{velocity}}
--#set($doi = "[Insert DOI Here]")
--#set($filename = "${doi}.pdf")
--#if($xwiki.exists("attach:$filename"))
--[[Download>>attach:$filename]]
--#else
--{{html}}<span style="color: red; font-weight: bold;">🚨 PDF Not Available 🚨</span>{{/html}}
--#end
--{{/velocity}}
--
--{{/expand}}
--
--{{html}}<hr style="border: 3px solid red;">{{/html}}
--
--
--
-----
--
--{{expand title="Study: Trends in Frequency of Sexual Activity and Number of Sexual Partners Among Adults Aged 18 to 44 Years in the US, 2000-2018" expanded="false"}}
--**Source:** *JAMA Network Open*
--**Date of Publication:** *2020*
--**Author(s):** *Ueda P, Mercer CH, Ghaznavi C, Herbenick D.*
--**Title:** *"Trends in Frequency of Sexual Activity and Number of Sexual Partners Among Adults Aged 18 to 44 Years in the US, 2000-2018"*
--**DOI:** [10.1001/jamanetworkopen.2020.3833](https://doi.org/10.1001/jamanetworkopen.2020.3833)
--**Subject Matter:** *Public Health, Sexual Behavior, Demography*
--
-----
--
--## **Key Statistics**
--1. **General Observations:**
--   - Study analyzed **General Social Survey (2000-2018)** data.
--   - Found **declining trends in sexual activity** among young adults.
--
--2. **Subgroup Analysis:**
--   - Decreases in sexual activity were most prominent among **men aged 18-34**.
--   - Factors like **marital status, employment, and psychological well-being** were associated with changes in sexual frequency.
--
--3. **Other Significant Data Points:**
--   - Frequency of sexual activity decreased by **8-10%** over the studied period.
--   - Number of sexual partners remained **relatively stable** despite declining activity rates.
--
-----
--
--## **Findings**
--1. **Primary Observations:**
--   - A significant decline in sexual frequency, especially among **younger men**.
--   - Shifts in relationship dynamics and economic stressors may contribute to the trend.
--
--2. **Subgroup Trends:**
--   - More pronounced decline among **unmarried individuals**.
--   - No major change observed for **married adults** over time.
--
--3. **Specific Case Analysis:**
--   - **Mental health and employment status** were correlated with decreased activity.
--   - Social factors such as **screen time and digital entertainment consumption** are potential contributors.
--
-----
--
--## **Critique and Observations**
--1. **Strengths of the Study:**
--   - **Large sample size** from a nationally representative dataset.
--   - **Longitudinal design** enables trend analysis over time.
--
--2. **Limitations of the Study:**
--   - Self-reported data may introduce **response bias**.
--   - No direct causal mechanisms tested for the decline in sexual activity.
--
--3. **Suggestions for Improvement:**
--   - Further studies should incorporate **qualitative data** on behavioral shifts.
--   - Additional factors such as **economic shifts and social media usage** need exploration.
--
-----
--
--## **Relevance to Subproject**
--- Provides evidence on **changing demographic behaviors** in relation to relationships and social interactions.
--- Highlights the role of **mental health, employment, and societal changes** in personal behaviors.
--
-----
--
--## **Suggestions for Further Exploration**
--1. Investigate the **impact of digital media consumption** on relationship dynamics.
--2. Examine **regional and cultural differences** in sexual activity trends.
--
-----
--
--## **Summary of Research Study**
--This study examines **trends in sexual frequency and number of partners among U.S. adults (2000-2018)**, highlighting significant **declines in sexual activity, particularly among young men**. The research utilized **General Social Survey data** to analyze the impact of **sociodemographic factors, employment status, and mental well-being** on sexual behavior.
--
--This summary provides an accessible, at-a-glance overview of the study's contributions. Please refer to the full paper for in-depth analysis.
--
-----
--
--## **📄 Download Full Study**
--{{velocity}}
--#set($doi = "10.1001_jamanetworkopen.2020.3833")
--#set($filename = "${doi}.pdf")
--#if($xwiki.exists("attach:$filename"))
--[[Download>>attach:$filename]]
--#else
--{{html}}<span style="color: red; font-weight: bold;">🚨 PDF Not Available 🚨</span>{{/html}}
--#end
--{{/velocity}}
--
--{{/expand}}
--
--{{html}}<hr style="border: 3px solid red;">{{/html}}
--
--
--{{expand title="Study: One is the Loneliest Number: Involuntary Celibacy (Incel), Mental Health, and Loneliness" expanded="false"}}
--**Source:** *Current Psychology*
--**Date of Publication:** *2024*
--**Author(s):** *Brandon Sparks, Alexandra M. Zidenberg, Mark E. Olver*
--**Title:** *"One is the Loneliest Number: Involuntary Celibacy (Incel), Mental Health, and Loneliness"*
--**DOI:** [10.1007/s12144-023-04275-z](https://doi.org/10.1007/s12144-023-04275-z)
--**Subject Matter:** *Psychology, Mental Health, Social Isolation*
--
-----
--
--## **Key Statistics**
--1. **General Observations:**
--   - Study analyzed **67 self-identified incels** and **103 non-incel men**.
--   - Incels reported **higher loneliness and lower social support** compared to non-incels.
--
--2. **Subgroup Analysis:**
--   - Incels exhibited **higher levels of depression, anxiety, and self-critical rumination**.
--   - **Social isolation was a key factor** differentiating incels from non-incels.
--
--3. **Other Significant Data Points:**
--   - 95% of incels in the study reported **having depression**, with 38% receiving a formal diagnosis.
--   - **Higher externalization of blame** was linked to stronger incel identification.
--
-----
--
--## **Findings**
--1. **Primary Observations:**
--   - Incels experience **heightened rejection sensitivity and loneliness**.
--   - Lack of social support correlates with **worse mental health outcomes**.
--
--2. **Subgroup Trends:**
--   - **Avoidant attachment styles** were a strong predictor of incel identity.
--   - **Mate value perceptions** significantly differed between incels and non-incels.
--
--3. **Specific Case Analysis:**
--   - Incels **engaged in fewer positive coping mechanisms** such as emotional support or positive reframing.
--   - Instead, they relied on **solitary coping strategies**, worsening their isolation.
--
-----
--
--## **Critique and Observations**
--1. **Strengths of the Study:**
--   - **First quantitative study** on incels’ social isolation and mental health.
--   - **Robust sample size** and validated psychological measures.
--
--2. **Limitations of the Study:**
--   - Sample drawn from **Reddit communities**, which may not represent all incels.
--   - **No causal conclusions**—correlations between isolation and inceldom need further research.
--
--3. **Suggestions for Improvement:**
--   - Future studies should **compare incel forum users vs. non-users**.
--   - Investigate **potential intervention strategies** for social integration.
--
-----
--
--## **Relevance to Subproject**
--- Highlights **mental health vulnerabilities** within the incel community.
--- Supports research on **loneliness, attachment styles, and social dominance orientation**.
--- Examines how **peer rejection influences self-perceived mate value**.
--
-----
--
--## **Suggestions for Further Exploration**
--1. Explore how **online community participation** affects incel mental health.
--2. Investigate **cognitive biases** influencing self-perceived rejection among incels.
--3. Assess **therapeutic interventions** to address incel social isolation.
--
-----
--
--## **Summary of Research Study**
--This study examines the **psychological characteristics of self-identified incels**, comparing them with non-incel men in terms of **mental health, loneliness, and coping strategies**. The research found **higher depression, anxiety, and avoidant attachment styles among incels**, as well as **greater reliance on solitary coping mechanisms**. It suggests that **lack of social support plays a critical role in exacerbating incel identity and related mental health concerns**.
--
--This summary provides an accessible, at-a-glance overview of the study’s contributions. Please refer to the full paper for in-depth analysis.
--
-----
--
--## **📄 Download Full Study**
--[[Download Full Study>>attach:10.1007_s12144-023-04275-z.pdf]]
--
--{{/expand}}
--
--{{html}}<hr style="border: 3px solid red;">{{/html}}
--
--{{expand title="Study: Associations Between Cannabis Use and Mental Health Symptoms in Young Adults" expanded="false"}} Source: Addictive Behaviors
--Date of Publication: 2016
--Author(s): Andrea Hussong, Christy Capron, Gregory T. Smith, Jennifer L. Maggs
--Title: "Associations Between Cannabis Use and Mental Health Symptoms in Young Adults"
--DOI: 10.1016/j.addbeh.2016.02.030
--Subject Matter: Substance Use, Mental Health, Adolescent Development
--
--Key Statistics
--General Observations:
--
--Study examined cannabis use trends in young adults over time.
--Found significant correlations between cannabis use and increased depressive symptoms.
--Subgroup Analysis:
--
--Males exhibited higher rates of cannabis use, but females reported stronger mental health impacts.
--Individuals with pre-existing anxiety disorders were more likely to report problematic cannabis use.
--Other Significant Data Points:
--
--Frequent cannabis users showed a 23% higher likelihood of developing anxiety symptoms.
--Co-occurring substance use (e.g., alcohol) exacerbated negative psychological effects.
--Findings
--Primary Observations:
--
--Cannabis use was linked to higher depressive and anxiety symptoms, particularly in frequent users.
--Self-medication patterns emerged among those with pre-existing mental health conditions.
--Subgroup Trends:
--
--Early cannabis initiation (before age 16) was associated with greater mental health risks.
--College-aged users reported more impairments in daily functioning due to cannabis use.
--Specific Case Analysis:
--
--Participants with a history of childhood trauma were twice as likely to develop problematic cannabis use.
--Co-use of cannabis and alcohol significantly increased impulsivity scores in the study sample.
--Critique and Observations
--Strengths of the Study:
--
--Large, longitudinal dataset with a diverse sample of young adults.
--Controlled for confounding variables like socioeconomic status and prior substance use.
--Limitations of the Study:
--
--Self-reported cannabis use may introduce bias in reported frequency and effects.
--Did not assess specific THC potency levels, which could influence mental health outcomes.
--Suggestions for Improvement:
--
--Future research should investigate dose-dependent effects of cannabis on mental health.
--Assess long-term psychological outcomes of early cannabis exposure.
--Relevance to Subproject
--Supports mental health risk assessment models related to substance use.
--Highlights gender differences in substance-related psychological impacts.
--Provides insight into self-medication behaviors among young adults.
--Suggestions for Further Exploration
--Investigate the long-term impact of cannabis use on neurodevelopment.
--Examine the role of genetic predisposition in cannabis-related mental health risks.
--Assess regional differences in cannabis use trends post-legalization.
--Summary of Research Study
--This study examines the relationship between cannabis use and mental health symptoms in young adults, focusing on depressive and anxiety-related outcomes. Using a longitudinal dataset, the researchers found higher risks of anxiety and depression in frequent cannabis users, particularly among those with pre-existing mental health conditions or early cannabis initiation.
--
--This summary provides an accessible, at-a-glance overview of the study’s contributions. Please refer to the full paper for in-depth analysis.
--
--📄 Download Full Study
--[[Download Full Study>>attach:10.1016_j.addbeh.2016.02.030.pdf]]
--
--{{/expand}}
--
--{{html}}<hr style="border: 3px solid red;">{{/html}}
--
--{{expand title="Study: Is there a Dysgenic Secular Trend Towards Slowing Simple Reaction Time?" expanded="false"}}
--**Source:** *Intelligence (Elsevier)*
--**Date of Publication:** *2014*
--**Author(s):** *Michael A. Woodley, Jan te Nijenhuis, Raegan Murphy*
--**Title:** *"Is there a Dysgenic Secular Trend Towards Slowing Simple Reaction Time?"*
--**DOI:** [10.1016/j.intell.2014.05.012](https://doi.org/10.1016/j.intell.2014.05.012)
--**Subject Matter:** *Cognitive Decline, Intelligence, Dysgenics*
--
-----
--
--## **Key Statistics**
--1. **General Observations:**
--   - The study examines reaction time data from **13 age-matched studies** spanning **1884–2004**.
--   - Results suggest an estimated **decline of 13.35 IQ points** over this period.
--
--2. **Subgroup Analysis:**
--   - The study found **slower reaction times in modern populations** compared to Victorian-era individuals.
--   - Data from **Western countries (US, UK, Canada, Australia, Finland)** were analyzed.
--
--3. **Other Significant Data Points:**
--   - The estimated **dysgenic rate is 1.21 IQ points lost per decade**.
--   - Meta-regression analysis confirmed a **steady secular trend in slowing reaction time**.
--
-----
--
--## **Findings**
--1. **Primary Observations:**
--   - Supports the hypothesis of **intelligence decline due to genetic and environmental factors**.
--   - Reaction time, a **biomarker for cognitive ability**, has slowed significantly over time.
--
--2. **Subgroup Trends:**
--   - A stronger **correlation between slower reaction time and lower general intelligence (g)**.
--   - Flynn effect (IQ gains) does not contradict this finding, as reaction time is a **biological, not environmental, measure**.
--
--3. **Specific Case Analysis:**
--   - Cross-national comparisons indicate a **global trend in slower reaction times**.
--   - Factors like **modern neurotoxin exposure** and **reduced selective pressure for intelligence** may contribute.
--
-----
--
--## **Critique and Observations**
--1. **Strengths of the Study:**
--   - **Comprehensive meta-analysis** covering over a century of reaction time data.
--   - **Robust statistical corrections** for measurement variance between historical and modern studies.
--
--2. **Limitations of the Study:**
--   - Some historical data sources **lack methodological consistency**.
--   - **Reaction time measurements vary by study**, requiring adjustments for equipment differences.
--
--3. **Suggestions for Improvement:**
--   - Future studies should **replicate results with more modern datasets**.
--   - Investigate **alternative cognitive biomarkers** for intelligence over time.
--
-----
--
--## **Relevance to Subproject**
--- Provides evidence for **long-term intelligence trends**, contributing to research on **cognitive evolution**.
--- Aligns with broader discussions on **dysgenics, neurophysiology, and cognitive load**.
--- Supports the argument that **modern societies may be experiencing intelligence decline**.
--
-----
--
--## **Suggestions for Further Exploration**
--1. Investigate **genetic markers associated with reaction time** and intelligence decline.
--2. Examine **regional variations in reaction time trends**.
--3. Explore **cognitive resilience factors that counteract the decline**.
--
-----
--
--## **Summary of Research Study**
--This study examines **historical reaction time data** as a measure of **cognitive ability and intelligence decline**, analyzing data from **Western populations between 1884 and 2004**. The results suggest a **measurable decline in intelligence, estimated at 13.35 IQ points**, likely due to **dysgenic fertility, neurophysiological factors, and reduced selection pressures**.
--
--This summary provides an accessible, at-a-glance overview of the study’s contributions. Please refer to the full paper for in-depth analysis.
--
-----
--
--## **📄 Download Full Study**
--[[Download Full Study>>attach:10.1016_j.intell.2014.05.012.pdf]]
--
--{{/expand}}
--
--{{html}}<hr style="border: 3px solid red;">{{/html}}
--
--