Are health risk attitude and general risk attitude associated with healthcare utilization, costs and working ability? Results from the German KORA FF4 cohort study

Lutter, Johanna I.; Szentes, Boglárka; Wacker, Margarethe; Winter, Joachim; Wichert, Sebastian; Peters, Annette; Holle, Rolf; Leidl, Reiner

doi:10.1186/s13561-019-0243-9

Cited by 14 publications

(15 citation statements)

References 45 publications

(53 reference statements)

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“…Because of the pressure which a rapidly ageing population places on limited medical resources, policymakers and psychiatric consultants are beginning to pay more attention to the issue of prevention. The effectiveness of prevention on the occurrence of disease-related events among targeted populations have been investigated [10][11][12][13][14]. However, few studies have modelled and quantified the potential economic consequences of preventive care in ageing societies.…”

Section: Introductionmentioning

confidence: 99%

Investing preventive care and economic development in ageing societies: empirical evidences from OECD countries

Wang

2021

Health Econ Rev

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Background The proportion of the elderly aged 65 years old or above will reach 16% in 2050 worldwide. Early investment in effective prevention would generally reduce the morbidity, complication, functional disability, and mortality of most chronic illnesses and save resources in both healthcare and social services. This research aims to investigate how the optimal allocation of medical resources between prevention and treatment adds value to the population’s health as well as examine the interaction between ageing, health, and economic performance. Methods This research undertakes ageing-health analyses by developing an economic growth model. Based on the Organization for Economic Co-Operation and Development (OECD) countries’ experiences over the period from 2000 to 2017, this research further examines the hypothesis that an ageing society could increase demand for preventive and curative healthcare. Results Theoretical analysis found that the prevention share for maximizing growth is the same as that for minimizing ill health and maximizing welfare; this share increases with treatment share and ageing ratios. Estimation results from OECD countries’ experiences indicate that when treatment share increases by 1%, the prevention demand increases by 0.036%. A one-percent increase in the ageing ratio yields a change in prevention share of 0.0368%. The optimal share of prevention health expenditure to GDP would be 1.175% when the prevalence rate of ill health isat 6.13%; a higher or lower share of prevention would be accompanied with a higher prevalence of ill health. For example, a zero and 1.358% preventive health expenditure would be associated with an 18.01% prevalence of ill health, while the current share of prevention of 0.237% is associated with a 10.26% prevalence of ill health. Conclusion This study shows that appropriate prevention is associated with decreases in the prevalence rates of ill health, which in turn attains sustainable growth in productivity. Too much prevention, however, could lead to higher detection of new chronic diseases with mild severity, which would result in longer illness duration, and higher prevalence rates of ill health. With suitable allocation of medical resources, the economic growth rate will help to cancel out increases in healthcare spending for the elderly and for expenses needed for the improvement of the population’s health as a whole.

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Section: Introductionmentioning

confidence: 99%

Investing preventive care and economic development in ageing societies: empirical evidences from OECD countries

Wang

2021

Health Econ Rev

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“…Besides, health promoting lifestyle is also influenced by individual psychological factors, such as ‘attitude’ [ 21 ], one of the core theoretical constructs in the Theory of Planned Behavior [ 22 ] and other health behavior theories [ 23 ]. A majority of research suggests a significant link between attitude and health promotion lifestyle [ 24 – 26 ]. Though an influential theory suggests that the structure of attitude includes three components—cognition, affection, and behavioral intention [ 27 – 29 ], many previous studies only focused on the cognitive aspect [ 25 , 26 , 30 ], overlooking the affection and behavioral intention which cannot present the whole attitude.…”

Section: Introductionmentioning

confidence: 99%

The status of health promotion lifestyle and its related factors in Shandong Province, China

Liu

Huang

et al. 2021

BMC Public Health

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Objectives This study aims to explore the status of Shandong Province, China residents’ health promotion lifestyle and its influencing factors, especially to explore how health attitude affects health promotion lifestyle, thus can make targeted recommendations for health promotion in China and similar areas. Methods 1800 adults were selected from urban and rural areas of Shandong Province, China, using multistage stratified, cluster random sampling method. A survey was conducted face-to-face from March to May, 2018, using Health Promotion Lifestyle Profile and Health Attitude Questionnaire. The between-group measured data were compared by One-way ANOVA or t-tests. The correlation between the health attitude and health promotion lifestyle was examined by Pearson correlation. Logistic regression model was used to examine the related factors influencing health promotion lifestyle. Health promotion lifestyle is the dependent variable, and gender, education level, annual family per capita income and health attitude are the independent variables. Results The mean (SD) of HPLP-IICR total score of the participants was 82.12(16.63). 54.50% of the participants had poor or average health promotion lifestyle, while 45.50% had good or excellent health promotion lifestyle. Significant differences existed in health promotion lifestyle among different gender, education level, income level, marital status, and health attitude (Ps < 0.001). Multivariable Logistic regression model found that male (OR = 0.35, 95% CI: 0.12–0.34), high school education level (OR = 0.57, 95% CI:0.17–0.41), junior middle school & below (OR = 0.42; 95% CI:0.12–0.33), annual family per capita income with < 10,000 CNY (OR = 2.53, 95% CI:1.24–2.06; OR = 2.14, 95% CI:1.08–3.12), low health affection (OR = 0.39, 95% CI:2.15–4.22), and low health behavioral intention (OR = 0.21; 95% CI: 2.33–5.29) were statistically significant correlates of average or poor health promotion lifestyle. Conclusions The health lifestyle needs to be further promoted in Shandong Province, China. The government and social sectors are encouraged to make more efforts to improve the accessibility and quality of health services. Meanwhile, individual responsibility cannot be ignored as well. More affective factors and operable measures should be added to enhance health affection and health behavioral intention, so as to enhance health promotion lifestyle.

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“…First, people with lifestyle behaviors including current smoking, regular drinking, and physical inactivity are more risk tolerant, and they may more willingly bear disease risk [ 26 , 27 ]. A higher willingness to bear risk decreases the probability of seeking health care [ 28 ]. Second, lifestyle behaviors such as smoking, drinking, and physical inactivity, are linked with poor health conditions.…”

Section: Discussionmentioning

confidence: 99%

The impact of current smoking, regular drinking, and physical inactivity on health care-seeking behavior in China

Sun

2022

BMC Health Serv Res

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Background People with lifestyle behaviors, such as current smoking, regular drinking, and physical inactivity, may experience a lack of or delayed health care, leading to severe sickness and higher health care expenditures in the future. Hence, the current study aims to ascertain the effects of current smoking, regular drinking, and physical inactivity on health care-seeking behavior among adults who report physical discomfort in China. Methods The data used in this study were obtained from the China Family Panel Studies (CFPS). The final sample consisted of 44,362 individuals who participated in all five waves of data collection. Logistic regression models were used for the analysis. Results The results of fixed effects logistic regression showed that among those who reported physical discomfort, adults who currently smoked cigarettes were 0.65 times less likely to seek health care than those who formerly smoked. Compared to nondrinkers, adults who regularly drank alcohol had a decreased likelihood of seeking health care. Adults who never engaged in physical exercise had 24% lower odds of seeking health care than those who engaged in physical exercise. Conclusions Current smoking, regular drinking, and physical inactivity decreased the probability of seeking health care among adults who reported physical discomfort. Therefore, screening and brief advice programs should be delivered by primary-level care and should pay more attention to individuals who engage in lifestyle behaviors such as current smoking, regular drinking, and physical inactivity, thus avoiding missed opportunities to treat chronic conditions and detect new diseases early.

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Are health risk attitude and general risk attitude associated with healthcare utilization, costs and working ability? Results from the German KORA FF4 cohort study

Cited by 14 publications

References 45 publications

Investing preventive care and economic development in ageing societies: empirical evidences from OECD countries

Investing preventive care and economic development in ageing societies: empirical evidences from OECD countries

The status of health promotion lifestyle and its related factors in Shandong Province, China

The impact of current smoking, regular drinking, and physical inactivity on health care-seeking behavior in China

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