Protection motivation theory in predicting intention to receive cervical cancer screening in rural Chinese women

Bai, Yang; Liu, Qing; Chen, Xinguang; Gao, Yanduo; Gong, Huiyun; Tan, Xiaodong; Zhang, Min; Tuo, Jiyu; Zhang, Yuling; Xiang, Qunying; Deng, Fenghua; Liu, Guiling

doi:10.1002/pon.4510

Cited by 48 publications

(55 citation statements)

References 41 publications

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“…Supported by findings from the published cross‐sectional studies of our own and others, this longitudinal study has documented the rate of rural women's participation in cervical cancer screening, confirmed the association of a group of factors (eg, demographic, knowledge of cervical cancer screening) with screening uptake, and demonstrated the utility of PMT in predicting subsequent cancer screening behavior among a large sample of women in rural China. Findings of this study update our knowledge on screening participation behavior, and add new evidence supporting cervical cancer prevention intervention programs to enhance screening for this group of rural women with high cervical cancer incidence and mortality.…”

Section: Discussionsupporting

confidence: 63%

“…Likewise, population‐based studies indicated that perceived severity can significantly predict screening uptake among women, although inconsistent findings are occasionally reported . In a previous study with cross‐sectional data, we observed that perceived severity of cervical cancer was positively associated with intention to participate in cervical cancer screening, and response cost was negatively associated with participation intention among rural women in China …”

Section: Introductionmentioning

confidence: 72%

“…Baseline data collected in 2015 when rural women were enrolled into the Demonstration Research Project were linked to the follow‐up data collected in 2017 for longitudinal analysis. Participants were selected using a multistage stratified cluster sampling method following the national guidelines; and detailed steps for sampling and participant recruitment were described elsewhere . Briefly, all married women living in the rural area of the county were eligible to participate if they met the following criteria: (a) aged 35 to 65; (b) with an intact cervix and no history of cervical cancer; (c) currently not pregnant; and (d) agree to participate.…”

Section: Methodsmentioning

confidence: 99%

“…Protection motivation theory (PMT) has been widely used in research to enhance our understanding of the health risk and protective behaviors . Among commonly used theories of health behavior, such as knowledge, attitude and behavior model, theory of planned behavior and health belief model, PMT offers a model with two closely related cognitive process of threat and coping appraisal that link various predictions to behavioral outcome (Figure ) .…”

Section: Introductionmentioning

confidence: 99%

“…Both theoretical and empirical studies support the utility of PMT in research to predict women's participation in cancer screening; however, most of the reported studies in the literature are cross‐sectional in nature. In addition, an individual's intention can change over time .…”

Section: Introductionmentioning

confidence: 99%

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Protection motivation theory in predicting cervical cancer screening participation: A longitudinal study in rural Chinese women

Liu

Chen

et al. 2019

Psycho-Oncology

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Objective To examine factors longitudinally associated with cervical cancer screening uptake among rural Chinese women, guided by protection motivation theory (PMT). Methods A large sample of women (n = 2408, aged 35‐65 years old) was randomly selected from a rural county in China in 2015 and followed up for 2 years. Data for demographic factors, knowledge of cervical cancer screening, screening outcome, and six PMT constructs measured at the baseline in 2015 were used to predict cervical cancer screening participation at the follow‐up in 2017 using structural equation model method. Results Among the 2408 women at the baseline, 1879 (78.03%) participated in the screening services at the follow‐up. In addition to significant direct effect of age, social status and baseline screening outcome, and three (perceived severity, fear arousal and response efficacy) of the six PMT subconstructs, four variables (age, social status, knowledge of cervical cancer screening, and baseline screening outcome) at the baseline were indirectly associated with screening participation, mediated by the three significant PMT subconstructs. Conclusions Findings of this study indicate that the rate of participating in cervical cancer screening for rural women needs to be further improved. In addition to the commonly reported influential factors, PMT subconstructs play important roles in encouraging rural women in China to participate in cervical cancer screening. These longitudinal findings provided data much needed for future research to develop evidence‐based intervention programs to enhance cervical cancer screening among rural women in China.

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Section: Discussionsupporting

confidence: 63%

Section: Introductionmentioning

confidence: 72%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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