Abstract

Touching your kids and your partner, self-touching, and touch deprivation have had different effects on individuals during a COVID-19 lockdown. In this Survey Monkey study conducted during a COVID-19 lockdown (N= 260 respondents), 26% said they were touch deprived a lot, 21% said they were touching their kids a lot, 33 % touching their partner a lot, and 32% self-touching a lot (e.g. yoga and stretching). Correlation analyses suggested that touch deprivation was related to scores on the Stress, Anxiety, Depression, Fatigue, Sleep Disturbances and PTSD scales. The three types of touching were positively related to scores on the Health Scale, at home projects, and outdoor exercising with others. Touching partner was also related to lower scores on the Stress, Depression, and PTSD Scales and Self-touching was related to lower scores on the Fatigue and Sleep Disturbance Subscales. The results of these data analyses are limited by the self-reported data from a non-representative, cross-sectional sample. Nonetheless, they highlight the negative effects of touch deprivation and the positive effects of touching your kids and partners and self-touch during a COVID-19 lockdown.

Highlights

  • : the Stress, Anxiety, Depression, Fatigue, Sleep Disturbances Tiffany Field, Samantha Poling, and PTSD scales

  • Deprivation occurs during lockdowns, the The purpose of the present data analyses was words touch deprivation, touch, and touching to determine the prevalence of different types of could not be found in the extensive COVID-19 touching that naturally occurred during a lockdown literature

  • That was surprising given COVID-19 lockdown based on survey data and that dozens of social media pieces have touch deprivation as well as the other stressors focused on touch deprivation occurring during the lockdowns and its impact on mental and physical health

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Summary

Participants

A G* power analysis indicated that a sample size of 224 was required for an alpha of .05 and 80% power. The participants included individuals (N=260) who ranged in age from 18-82 (M=47 years). Gender was distributed 79% female, 18% male and 3% other (non-specified). Ethnicity was distributed 68% Non-Hispanic White, 21% Hispanic, 3% Black and 8% other (non-specified). Professions were distributed 35% office worker, 30% academic, 15% managerial, 12% medical and 8% labor. The average income was $72,572, 28% were unemployed and 69% worked at home.

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