Self-Control Measurement Methodologies: An Integrative Approach.

The study of self-control occurs in many different types of experimental settings using a wide range of methodologies. In addition, measures of self-control vary in their procedures and operational definitions from simple questionnaires to complex scenarios where individuals must choose to act or not. The present summary draws on trends within the literature using widely accepted measures of self-control. The measures are organized based on established paradigms in the literature and focus on three categories: executive functioning tasks, delay of gratification tasks, and subjective-report surveys. We also include an "additional measures" category to capture measures that do not readily fit in these three categories. Finally, we discuss recent approaches to the scientific exploration of self-control and integrate the categories of measures used here within these approaches. This integration incorporates a wide range of research paradigms and provides direction for future studies.

Fighting the Freshman Fifteen: Sleep, Exercise, and BMI in College Students.

PURPOSE: To examine how sleep and physical activity predict body mass index (BMI) in college students. DESIGN: Cross-sectional. SETTING: Medium-sized public university in the Southeastern United States. SUBJECTS: 386 undergraduate students (245 females; 18-25 years). MEASURES: Surveys included the Pittsburg Sleep Quality Index (PSQI) and Concise Physical Activity Questionnaire (CPAQ). PSQI provided 5 sleep scores: PSQI Global Score, Sleep Quality Factor Score, Sleep Efficiency Factor Score, Sleep Duration, and Habitual Sleep Efficiency. Height and weight measurements were taken to calculate Body Mass Index (BMI). ANALYSIS: Correlational analyses were completed first. Linear and moderation regression models using CPAQ as the moderator were used to predict BMI. The Johnson-Neyman technique determined regions of significance where sleep significantly predicted BMI dependent on CPAQ score. RESULTS: Sleep Duration significantly predicted BMI (ß = -.385, p = .043) while significant interaction terms predicting BMI were found for Global PSQI Score × CPAQ (ß = -.103, p = .015) and Sleep Quality Factor Score × CPAQ (ß = -.233, p = .013). Johnson-Neyman analyses demonstrated that better sleep quality (measured by Global PSQI and Sleep Quality Factor Scores) predict lower BMI when exercise levels are low and higher BMI when exercise levels are high. CONCLUSION: At low levels of exercise, better sleep quality significantly predicts lower BMI, suggesting that interventions designed to increase sleep quality could promote healthy weight maintenance in college students.

Social Isolation and Sleep: Manifestation During COVID-19 Quarantines.

Although researchers have investigated the impact of social isolation on well-being, the recent quarantines due to COVID-19 resulted in a social isolation environment that was unique to any examined in the past. Because sleep is one of the endogenous drives that impacts short and long-term health and well-being, it is important to consider how social isolation during the COVID-19 government-mandated quarantines affected sleep and sleep habits. A number of researchers have addressed this question during the last 2 years by examining several concepts related to possible changes in sleep during the quarantines. To best understand these recent results, the current mini review provides a background on the pre-pandemic literature on the effects of social isolation and loneliness with a focus on sleep and then summarizes the recent literature on sleep and sleep habits. In general, sleep was negatively impacted for many people during the pandemics but not all. One group that seemed to benefit from the pandemic in terms of sleep patterns, were younger people who could more easily adapt their sleep times to match their internal chronobiology. Given the potential broad impact of sleep on health and well-being, better understanding how social isolation impacts sleep is an important consideration for individuals, work organizations, and governments.