Smoking and Unemployment: A Photo Elicitation Project

Michalek, Anne K.; Wong, Samantha; Brown‐Johnson, Cati; Prochaska, Judith J.

doi:10.1177/1179173x20921446

Cited by 10 publications

(5 citation statements)

References 29 publications

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“…Thus unemployed people may resort to smoking as a coping strategy to relieve stress and anxiety [38]. Previous studies showed an association between unemployment and a higher prevalence of smoking [39][40][41]. For example, in California, unemployed people who seek jobs were shown to have the highest prevalence of smoking (21%) compared to the employed (15%) [39].…”

Section: Discussionmentioning

confidence: 99%

Prevalence of Cigarettes and Waterpipe Smoking among Jordanians, Refugees, and Migrants in Jordan and Its Associated Factors: A Secondary Data Analysis

Alkouri

Khader

Al-Bashaireh

2022

IJERPH

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Smoking is a major public health threat resulting in increased morbidity and mortality. This study aimed to determine the prevalence of current smoking among different adult populations in Jordan, including Jordanians, refugees, and migrants and determine the factors associated with smoking. A cross-sectional survey was conducted during the period of June–September 2021 among Jordanians, Syrian refugees (both urban and camp refugees), and migrants living in four governorates in Jordan, including Amman, Zarqa, Mafraq, and Irbid. The selection of the four governorates was based on criteria related to the presence of Syrian refugees in host communities. The highest prevalence of cigarette smoking was among urban Jordanians (51.1%), followed by non-camp refugees (46.7%), while the highest prevalence for waterpipe (43.2%) and dual smoking (28.7%) was among non-camp refugees. Being male, aged 25–45 years old, unemployed, and having less than a high school education, as well as being urban Jordanians, were all associated with higher odds of cigarette smoking. Being male, unemployed, and urban Jordanians or non-camp refugees were variables associated with higher odds of waterpipe smoking. The study findings indicate that the identification of smoking prevalence in Jordan and its associated factors, including gender, educational level, employment status, regional area, migration, and exposure to traumas, should be considered by healthcare providers to formulate smoking cessation programs tailored to their needs and ultimately reduce smoking prevalence.

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Section: Discussionmentioning

confidence: 99%

Prevalence of Cigarettes and Waterpipe Smoking among Jordanians, Refugees, and Migrants in Jordan and Its Associated Factors: A Secondary Data Analysis

Alkouri

Khader

Al-Bashaireh

2022

IJERPH

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“…Other photo elicitation studies beyond Photovoice also engaged with participants to take photographs to tell their story or in response to provided photo-taking prompts followed by interviews exploring the photographs ( Bailey et al, 2021 ; Fleury et al, 2009 ; Kolb, 2008 ; Michalek et al, 2020 ; Oliffe & Bottorff, 2007 ; Padgett et al, 2013 ; Rice et al, 2015 ). In these studies, if mentioned, photographs were sorted into researcher-determined categories and/or visual data was coded using a grounded theory, thematic or content analysis approach.…”

Section: Literature Reviewmentioning

confidence: 99%

Using Photographs to Understand the Context of Health: A Novel Two-Step Systematic Process for Coding Visual Data

Jih,

Nguyen,

Woo

et al. 2023

Qual Health Res

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In qualitative research, photographs and other visual data have been used with oral narratives in ethnography, interviews, and focus groups to convey and understand the perceptions, attitudes, and lived experiences of participants. Visual methodologies that incorporate photographic data include photo elicitation, which has varied approaches with the inclusion of photographs generated by researchers or participants, and Photovoice, which is a form of photo elicitation focused on participatory action research. Current literature provides insufficient guidance on a systematic coding process of visual data elements that could maximize capturing of visual data for qualitative analysis. We describe our rationale and process for developing a two-step systematic process for coding visual data, specifically photographs. The two-step systematic process for coding photographs involves coding the foreground (focal point) and then the background of the photograph, using separate codebooks. Application of this two-step coding approach resulted in surfacing additional rich data on the health-related contexts and environments in which participants lived. Incorporation of this methodology could enhance understanding of the context of health and generate ideas and new directions of inquiry.

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“…It shows, there is a statistical relationship between the smoking histories of more than 12 months with the incidence of breast cancer. Research conducted by 6,13 , also explains that smoking habits has a close relationship with the level of health literacy, marital status, age, and employment. This research is supported by the previous study conducted in other developing countries (South India), which shows people in remote rural areas with low literacy levels and employment status are the main factors in smoking behavior 14 .…”

Section: Introductionmentioning

confidence: 97%

“…Smoking behavior among women in urban areas has a statistically signi cant relationship with women's age, education level, type of work, and marital status 15 . It is known that there is a tendency for women who have a low per capita income to have a higher level of consumption, so that the tendency of women to also participate in seeking additional income through other informal jobs 13,15 . Based on the Maternal and Child Health Pro le (2020), the number of working mothers or women in urban and rural areas do not have a big difference, namely working mothers have higher health complaints (29.62%) than mothers who do not work (27, 32%) 16 .…”

Section: Introductionmentioning

confidence: 99%

The Determinant of Smoking Behaviour Among Female Worker in Southeast Asia: A Case Study Among The Philippines and Indonesian

Megatsari

Ad²,

2021

Preprint

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Background The prevalence of tobacco use in Southeast Asia communities is 56% which 15% of them are female active smokers. Several studies explain that working status, neighborhood, marital status, and education are factors that cause smoking behavior in women. A scientific study is needed to obtain valid assumptions regarding the relationship of these determinants. This study aimed to analyze the determinant of smoking behavior among female workers in the Philippines and Indonesia. Methods The data is processed from 2017 PDHS and use female workers in the Philippines and Indonesia as the study population. The sample size is 11,375 female workers in the Philippines and 26,712 female workers in Indonesia. Apart from smoking behavior as the dependent variable, other variables analyzed were the place of residence, age, marital, education, parity, currently pregnant, and wealth status. The analysis in the final stage uses binary logistic regression. Results The results show that female workers in both countries from urban areas have a higher likelihood of becoming smokers than those who live in rural areas. Age group is finding as one of the smoking behavior determinants among female workers in both countries. Female workers with long-distance marriage and married / living with a partner have a lower probability of becoming a smoker than those who have marital status in the widowed/divorced category. Education level and parity are also finding as one of the smoking behavior determinants among them. Meanwhile, pregnancy found to be a protective factor for them to become a smoker. Finally, the multivariate test results found that wealth status is also a determinant of smoking behavior for female workers in both countries. Conclusions It was concluded that the seven variables analyzed are the determinants of smoking behavior among female workers in the Philippines and Indonesia. The seven variables are type of place, age, marital, education, parity, pregnancy, and wealth status.

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Smoking and Unemployment: A Photo Elicitation Project

Cited by 10 publications

References 29 publications

Prevalence of Cigarettes and Waterpipe Smoking among Jordanians, Refugees, and Migrants in Jordan and Its Associated Factors: A Secondary Data Analysis

Prevalence of Cigarettes and Waterpipe Smoking among Jordanians, Refugees, and Migrants in Jordan and Its Associated Factors: A Secondary Data Analysis

Using Photographs to Understand the Context of Health: A Novel Two-Step Systematic Process for Coding Visual Data

The Determinant of Smoking Behaviour Among Female Worker in Southeast Asia: A Case Study Among The Philippines and Indonesian

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