Health information–seeking behavior and self-care in women with osteoporosis: a qualitative study

Ansari, Ameneh; Fahimfar, Noushin; Noruzi, Alireza; Fahimifar, Sepideh; Hajivalizadeh, Fatemeh; Ostovar, Afshin; Larijani, Bagher; Sanjari, Mahnaz

doi:10.1007/s11657-021-00923-8

Cited by 8 publications

(8 citation statements)

References 25 publications

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“…Moreover, several findings were derived from the qualitative study on health information-seeking behaviors and self-care behaviors in women with osteoporosis: identification of knowledge gaps, established networking for seeking information, information from trust-to-distrust, information-seeking inhibiting factors, information-seeking facilitating factors, and self-care behaviors based on required knowledge. [ 29 ] Furthermore, young adults were mistakenly perceived to be consuming sufficient nutrients for bone health, which was associated with lower participation in osteoporosis prevention activities. [ 30 ]…”

Section: Discussionmentioning

confidence: 99%

“…[24] Moreover, several findings were derived from the qualitative study on health information-seeking behaviors and self-care behaviors in women with osteoporosis: identification of knowledge gaps, established networking for seeking information, information from trust-to-distrust, information-seeking inhibiting factors, information-seeking facilitating factors, and self-care behaviors based on required knowledge. [29] Furthermore, young adults were mistakenly perceived to be consuming sufficient nutrients for bone health, which was associated with lower participation in osteoporosis prevention activities. [30] Taken together, strategies that promote osteoporosis self-efficacy, lifestyle modification for women who live alone, and weight-bearing exercise to promote bone health, as opposed to losing weight to achieve a thin figure, would help facilitate health-promoting behaviors that prevent osteoporosis in women in their 20s and 30s.…”

Section: Discussionmentioning

confidence: 99%

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Predictors of osteoporosis prevention behaviors in women in their 20s and 30s

Kang

Kim

2022

Medicine

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There is a need to provide insight into the management and health care fields for the prevention of osteoporosis in young women by analyzing the factors affecting the prevention of osteoporosis. This descriptive survey aimed to identify the predictors of osteoporosis prevention behaviors in women in their 20s and 30s by examining their body mass index (BMI), weight control experience, osteoporosis knowledge, osteoporosis self-efficacy, and osteoporosis prevention behaviors. One hundred fifty participants were conveniently sampled, and data were collected from August to September 2020. Participants in their 20s and 30s completed a questionnaire concerning the general characteristics, osteoporosis-related characteristics, osteoporosis knowledge, osteoporosis self-efficacy, and osteoporosis prevention behaviors. Approximately 82.6% of the participants had at least 1 type of weight control experience. The mean participants’ age and BMI were 28.94 (±5.32) years and 21.62 (±3.21) kg/m2, respectively. No significant differences in weight control experience according to the participants’ characteristics were observed. However, significant differences were noted in BMI and age, osteoporosis knowledge and educational background, osteoporosis prevention behavior and educational background, and household type. Osteoporosis prevention behaviors were significantly positively correlated with weight control experience, osteoporosis knowledge, and osteoporosis self-efficacy. Osteoporosis prevention behaviors increased with increasing osteoporosis self-efficacy (β = 0.53, P < .001), among multiperson households (β = 0.20, P = .003), and among those with a weight control experience (β = 0.18, P = .007), and these factors explained 47.2% of the variance (F = 23.11, P < .001). Based on the study results, further studies are needed to identify and analyze the predictors of osteoporosis prevention behaviors in women to increase the awareness of osteoporosis and osteoporosis prevention and management in this group and expand similar efforts.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Predictors of osteoporosis prevention behaviors in women in their 20s and 30s

Kang

Kim

2022

Medicine

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“…The exchange and use of health information is an important component of health services and is one of the six cornerstones of countries’ health systems proposed by the World Health Organization (WHO) [ 1 , 2 , 3 ]. Health information contributes to individuals’ understanding of medical policies, expands their knowledge of health, and improves their health behaviors [ 4 , 5 , 6 , 7 ]. The coronavirus disease 2019 (COVID-19) was first reported in Wuhan, the largest city in central China, in December 2019 [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

What Drives Elderly People in China Away from COVID-19 Information?

Gao

Ding

2022

IJERPH

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Background: A worrying phenomenon has emerged in recent years: a growing number of people have stopped seeking coronavirus disease 2019 (COVID-19) information and have started deliberately avoiding it. Even though the virulence of COVID-19 has now weakened, the proportion of severe illnesses and deaths in elderly people is still much higher than in other age groups. However, no study has focused on this topic. This is the first study to explore the level of COVID-19 information avoidance among elderly people, and to identify the barriers and potential factors associated therewith. Methods: Convenience sampling was used to recruit 907 elderly people in Wuhan, China. Data collection measures included a sociodemographic questionnaire, health information avoidance scale, information overload scale, general self-efficacy scale, and health anxiety inventory. Results: A total of 72.3% of elderly participants reported COVID-19 information avoidance. Regarding COVID-19-related information reading habits, 44.5% of the elderly only read the title, 16.0% merely skimmed through the content, and 22.9% skipped all relevant information. The most common reasons for this result were information overload (67.5%), underestimation of the infection risk (58.1%), and uselessness of information (56.4%). The main factors associated with COVID-19 information avoidance were recorded as information overload, age, health anxiety, and children (p < 0.05). Conclusions: China should strengthen its health communication regarding COVID-19 in accordance with the characteristics of elderly people, adopt more attractive publicity methods on traditional media, improve censorship about health information, and pay more attention to the childless elderly and the elderly aged 80 and above.

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“…The need to provide health information that is easily accessible and helpful and that ensures the right to be informed has increased, which, subsequently, has enabled consumers to perform self-management more efficiently [7]. Consumers use the internet for various health-related activities, such as obtaining health information and learning about treatment options and health-promoting activities [8].…”

Section: Introductionmentioning

confidence: 99%

“…A variety of qualitative studies has examined motivation, health information searches, and evaluations of various age groups, genders, and diseases [7,14,15], using social media or mobile phones [16,17]. Other studies have qualitatively defined health informationseeking behaviors [8] and conducted a concept analysis [18].…”

Section: Introductionmentioning

confidence: 99%

Classifications, Changes, and Challenges of Online Health Information Seekers during COVID-19

Choi

Ahn

2021

IJERPH

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Objectives: The purpose of this study was to explore consumers’ experiences before and during the COVID-19 outbreak to improve public health by providing effective consumer health information. Methods: Interviews were conducted with 20 health information consumers who were 18 or older until data saturation was reached. The selected participants were among users of the Korean National Health Insurance Service (NHIS). The data were collected before the COVID-19 outbreak (September 2014) and during the COVID-19 outbreak (October 2020) to describe experiences and changes before and during the pandemic. Data were analyzed according to the qualitative content analysis method. Results: As a result, 3 main domains and 10 subdomains were derived from classifications, changes, and challenges of online health information seekers. Conclusions: The findings of this study guide the understanding of health information seekers for the development of consumer-tailored health information systems.

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Health information–seeking behavior and self-care in women with osteoporosis: a qualitative study

Cited by 8 publications

References 25 publications

Predictors of osteoporosis prevention behaviors in women in their 20s and 30s

Predictors of osteoporosis prevention behaviors in women in their 20s and 30s

What Drives Elderly People in China Away from COVID-19 Information?

Classifications, Changes, and Challenges of Online Health Information Seekers during COVID-19

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