Factors associated with mask wearing among psychiatric inpatients during the COVID-19 pandemic.
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ABSTRACT:
SUBMITTER: Jung HR
PROVIDER: S-EPMC7831677 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:The COVID-19 pandemic has forced to rapidly encourage the use of face masks during medical consultations, with significant implication for psychiatry. This study examined the opinions and attitudes of psychiatrists toward the impact of wearing a face mask on the psychiatric interview. 513 psychiatrists and trainee psychiatrists completed an electronic survey about the impact of wearing a face mask on the psychiatric interview. Less efficiency in capturing clinical signs/symptoms, emergence of false inferences in patients and altered patient-clinician interactions were commonly reported negative impacts of face mask (66-96%). The quality of the therapeutic alliance was reported as affected by the mask by 47% of the sample. Results were mixed on the use of telepsychiatry as a potential solution to mask-related inconvenience. The use of face masks has significant negative effects on the psychiatric interview. Providing specific training to clinicians could be a potential solution for masks-induced biases.
| S-EPMC8501330 | biostudies-literature
Project description:Wearing a face mask has been a key approach to contain or slow down the spread of COVID-19 in the ongoing pandemic. However, there is huge heterogeneity among individuals in their willingness to wear face masks during an epidemic. This research aims to investigate the individual heterogeneity to wear face masks and its associated predictors during the COVID-19 pandemic when mask-wearing was not mandatory. Based on a survey of 708 Malaysian adults and a multivariate least-squares fitting analysis, the results reveal a significant variance among individuals in wearing masks, as 34% of the individual adults did not always wear masks in public places. Female individuals, individuals who wash their hands more frequently, and those who reported more availability of personal protective equipment were more likely to practice mask-wearing. The identification of less-compliant groups of mask wearing has critical implications by enabling more specific health communication campaigns.
| S-EPMC8641304 | biostudies-literature
Project description:Recent popular press authors have proposed that men are less likely to wear face masks during the COVID-19 pandemic. We investigate this notion in the current article by analyzing three extant datasets. We also assess the mediating effect of eight different face mask perceptions in the relation between gender and face mask wearing via the Face Mask Perceptions Scale. Across the three datasets, the sample-size weighted meta-analytic correlation between gender and face mask wearing was not statistically significant, and no face mask perception was a consistent mediator of this effect. Gender did have significant relations with two face mask perceptions, however. Men were more likely to perceive face masks as infringing on their independence, whereas women were more likely to perceive face masks as uncomfortable. Therefore, although gender does not relate to whether a person wears a face mask, it does relate to face mask perceptions. We offer several suggestions for research and practice from these results, such as the positioning of face mask wearing alongside passive health behaviors, the broader study of face mask perceptions' outcomes beyond face mask wearing, as well as the creation of interventions to target differing face mask perceptions across genders.
| S-EPMC7543707 | biostudies-literature
Project description:Urban overheating (due to climate change and urbanization) and COVID-19 are two converging crises that must be addressed in tandem. Fine-scale, place-based, people-centric biometeorological and behavioral data are needed to implement context-specific preventative measures such as mask-wearing. This study collected local biometeorological measurements in diverse urban spaces (square, urban park, river quay) in Novi Sad, Serbia on hot sunny summer days (27-30 August 2020) during the COVID-19 pandemic. Observations were supplemented by an online survey asking questions about thermal sensation, comfort, and concurrent protective behavior of the local population. Biometeorological measurements show that the main square in the city center was the most thermally uncomfortable area. According to the survey, it was also perceived as the least safe space to not contract the virus. The urban park was perceived as the most thermally comfortable area in the morning and during midday. It was also considered the safest urban space for outdoor activities. In the evening, the river quay was the most thermally comfortable area in the city. Intra-urban differences in Physiologically Equivalent Temperatures were highest during midday, while differences in air temperatures were highest in the evening. More than 70% of the respondents did not wear face masks when it was hot because of breathing issues and feeling warmer than without mask. Most people wearing a mask felt "slightly warm" in the morning and evening, while the majority of respondents felt "hot" during midday. Only 3% of the respondents felt comfortable while wearing a mask, while 97% experienced some degree of discomfort (from slight discomfort to very uncomfortable). Our study shows that fine scale temporal and spatial urban biometeorological data and population surveys should be included in decision-making processes during the pandemic to develop climate-sensitive health services that are place-based, people-centric, and facilitate planning towards green, resilient, and inclusive cities.
| S-EPMC8720675 | biostudies-literature
Project description:Although masks (face coverings) are a prime tool in fighting airborne pathogens, during the COVID-19 pandemic in the United States the use of masks encountered resistance based on existing patterns of cultural division. We argue that mask wearing must be understood basis on existing cultural frames assessed at both the individual level and the state level. We relied on prominent frameworks in cultural psychology: individualism-collectivism as well as independent and interdependent self-construals, the tightness-looseness framework, U.S. honor cultures, and political orientation as predictors. Using multilevel modeling, in a sample of 633 respondents from 45 U.S. states we investigated mask-wearing behavior, masks' perceived utility, implications for well-being, and the social meaning attributed to masks. Conservatism was linked to lower mask wearing, and consistently unfavorable perceptions of mask wearing. Collective interdependence predicted favorable perceptions of masks, as did state-level differences in collectivism; both constructs were linked with viewing mask wearing to be normative. Independent self-construal predicted a greater intent to wear masks, even though masks were also evaluated less favorably. Mediation analyses revealed that a single mediator, the perceived utility of mask wearing, was implicated in translating the effects of different cultural predictors into behavior. Additional findings highlighted that in tightener (vs. looser) states masks wearing was conceived of as a civic duty, whereas in U.S. honor states mask were seen as spoiling one's public image. Our discussion focuses on the cultural and political context of mask wearing, argues that different communities in the U.S. respond to its symbolic and social meaning, and suggest strategies to increase mask wearing among those who are otherwise reluctant to do so.
| S-EPMC8333278 | biostudies-literature
Project description:BackgroundIn the absence of a vaccine, the global spread of COVID-19 during 2020 has necessitated non-pharmaceutical interventions to curb the rise of cases.PurposeThe article uses the health belief model and a novel rapid mobile survey to examine correlates of reported mask-wearing as a non-pharmaceutical intervention in South Africa between May and August 2020.MethodsTwo-way tabulations and multivariable analysis via logistic regression modeling describe correlations between reported mask-wearing and factors of interest among a sample of 7074 adults in a two-period national longitudinal survey, the National Income Dynamics Study-Coronavirus Rapid Mobile Survey (NIDS-CRAM).ResultsIn line with the health belief model, results showed that self-efficacy, the prevalence of others' mask-wearing in the same district, and affluence were positively associated with reported mask-wearing. Those who reported staying at home were significantly less likely to report wearing a mask. There was little evidence that the expected severity of the disease if contracted, affects these decisions. Hypertension, obesity, or being overweight (measured three years earlier) did not have a significant association with mask-wearing. The prevalence of mask-wearing increased significantly from May to August 2020 as COVID-19 cases increased and lockdown restrictions were eased. Contrary to the health belief model, we found that despite having a higher mortality risk, the elderly had significantly lower odds of mask-wearing.ConclusionIn South Africa, the mask-wearing adherence has increased rapidly. It is concerning that the elderly had lower odds of mask-wearing. This should be examined further in future research.
| S-EPMC8690224 | biostudies-literature
Project description:Face mask recommendations are conflicting across the world during the coronavirus disease 2019 (COVID-19) pandemic. While universal face mask wearing is a useful non-pharmaceutical preventive strategy, little is known about the perception of mask wearing during a pandemic. This study aimed to examine people's face mask use in China and Europe. An online survey was conducted among residents in China, Austria, Germany, and Switzerland from the 1st to 10th of April 2020. With a convenience sampling approach, 655 valid answers were received including 267 Chinese and 388 European residents (261 from Austria, 101 from Germany, 26 from Switzerland). Self-reported face mask wearing status and related perceptions were assessed. Compared with the Europeans, Chinese participants showed a stronger pro-masking tendency. Subjective norm was an important predictor of face mask wearing in public. Wearing of face masks in the Chinese sample was also associated with risk perception as well as obedience to advice from local health authority. Discrepancies in face mask wearing suggest that targeted measures to promote face mask wearing are needed in Europe. Globally coordinated guidelines on pandemics are also warranted to face the next waves of COVID-19 and other infectious respiratory diseases.
| S-EPMC8240840 | biostudies-literature
Project description:Masks are an effective tool in combatting the spread of COVID-19, but some people still resist wearing them and mask-wearing behavior has not been experimentally studied in the United States. To understand the demographics of mask wearers and resistors, and the impact of mandates on mask-wearing behavior, we observed shoppers (n = 9935) entering retail stores during periods of June, July, and August 2020. Approximately 41% of the June sample wore a mask. At that time, the odds of an individual wearing a mask increased significantly with age and was also 1.5x greater for females than males. Additionally, the odds of observing a mask on an urban or suburban shopper were ~4x that for rural areas. Mask mandates enacted in late July and August increased mask-wearing compliance to over 90% in all groups, but a small percentage of resistors remained. Thus, gender, age, and location factor into whether shoppers in the United States wear a mask or face covering voluntarily. Additionally, mask mandates are necessary to increase mask wearing among the public to a level required to mitigate the spread of COVID-19.
| S-EPMC7561164 | biostudies-literature
Project description:We investigated whether and how individual's belief in science directly impacts reported face mask wearing behavior in the United States and the mediating role of belief in mask effectiveness in preventing transmission of COVID-19 in this relationship. Mechanical Turk participants (N = 1050) completed measures on reported face mask wearing behavior, general beliefs in science, belief in face mask effectiveness in reducing transmission of COVID-19, and sociodemographic information. We found evidence that greater belief in science predicted greater belief in the effectiveness of face masks reducing the transmission of COVID-19, which in turn predicted more reported face mask wearing behavior in public, controlling for sociodemographic factors. We urge researchers to engage in more open science practices and science education to increase the public's belief in science and the effectiveness of masks in reducing the transmission of COVID-19 in order to increase the frequency of face mask wearing in public.
| S-EPMC7879019 | biostudies-literature
Project description:ObjectiveFacial masks are an essential personal protective measure to fight the COVID-19 (coronavirus disease) pandemic. However, the mask adoption rate in the United States is still less than optimal. This study aims to understand the beliefs held by individuals who oppose the use of facial masks, and the evidence that they use to support these beliefs, to inform the development of targeted public health communication strategies.Materials and methodsWe analyzed a total of 771 268 U.S.-based tweets between January to October 2020. We developed machine learning classifiers to identify and categorize relevant tweets, followed by a qualitative content analysis of a subset of the tweets to understand the rationale of those opposed mask wearing.ResultsWe identified 267 152 tweets that contained personal opinions about wearing facial masks to prevent the spread of COVID-19. While the majority of the tweets supported mask wearing, the proportion of anti-mask tweets stayed constant at about a 10% level throughout the study period. Common reasons for opposition included physical discomfort and negative effects, lack of effectiveness, and being unnecessary or inappropriate for certain people or under certain circumstances. The opposing tweets were significantly less likely to cite external sources of information such as public health agencies' websites to support the arguments.ConclusionsCombining machine learning and qualitative content analysis is an effective strategy for identifying public attitudes toward mask wearing and the reasons for opposition. The results may inform better communication strategies to improve the public perception of wearing masks and, in particular, to specifically address common anti-mask beliefs.
| S-EPMC7989302 | biostudies-literature