Low-educated Individuals Research Articles

Does armed conflict increase individuals’ religiosity as a means for coping with the adverse psychological effects of wars?

This study examines how armed conflict affects individuals' religious behaviors (e.g., praying) and beliefs. The direction of the effect is theoretically not clear: war exposure may strengthen individuals' religiosity. Alternatively, after war exposure, individuals may stop following religion, and decrease their faith in God. To assess the direction of this effect, this study examines individuals' religiosity before and after a war between Israel and a Lebanese terror organization in 2006. Using both longitudinal and cross-section datasets, I find that being exposed to war or residing in war-affected regions increases individuals' religious behaviors and beliefs. These results are more pronounced among lower-educated individuals and among those who were not religious prior to the violence. Exploring possible mechanisms, I show that individuals become more religious as a means for coping with the adverse psychological effects of the war. Placebo tests using the pre-war period and individuals’ views unrelated to war exposure strengthen my main findings.

On the measurement of healthy lifespan inequality

BackgroundCurrent measures to monitor population health include indicators of (i) average length-of-life (life expectancy), (ii) average length-of-life spent in good health (health expectancy), and (iii) variability in length-of-life (lifespan inequality). What is lacking is an indicator measuring the extent to which healthy lifespans are unequally distributed across individuals (the so-called ‘healthy lifespan inequality’ indicators).MethodsWe combine information on age-specific survival with the prevalence of functional limitation or disability in Spain (2014–2017) by sex and level of education to estimate age-at-disability onset distributions. Age-, sex- and education-specific prevalence rates of adult individuals’ daily activities limitations were based on the GALI index derived from Spanish National Health Surveys held in 2014 and 2017. We measured inequality using the Gini index.ResultsIn contemporary Spain, education differences in health expectancy are substantial and greatly exceed differences in life expectancy. The female advantage in life expectancy disappears when considering health expectancy indicators, both overall and across education groups. The highly educated exhibit lower levels of lifespan inequality, and lifespan inequality is systematically higher among men. Our new healthy lifespan inequality indicators suggest that the variability in the ages at which physical daily activity limitations start are substantially larger than the variability in the ages at which individuals die. Healthy lifespan inequality tends to decrease with increasing educational attainment, both for women and for men. The variability in ages at which physical limitations start is slightly higher for women than for men.ConclusionsThe suggested indicators uncover new layers of health inequality that are not traceable with currently existing approaches. Low-educated individuals tend to not only die earlier and spend a shorter portion of their lives in good health than their highly educated counterparts, but also face greater variation in the eventual time of death and in the age at which they cease enjoying good health—a multiple burden of inequality that should be taken into consideration when evaluating the performance of public health systems and in the elaboration of realistic working-life extension plans and the design of equitable pension reforms.

Can Unearned Income Make Us Fitter? Evidence from Lottery Wins

Although lower income is associated with overweight (and obesity), such an association is explained by a number of other confounding effects such as omitted variables (e.g., time preferences) explaining that income effect on overweight. We study the effect of unearned income shocks resulting from a lottery win (windfall income) on both overweight (alongside obesity and body mass index) distribution. We draw upon longitudinal data from the United Kingdom, a country where about half of a population plays the lottery. Our results suggest no evidence of contemporaneous effects of income on overweight, but a significant lagged effect. We find a reduction in overweight 12 months after a lottery win. A 10,000-sterling win reduces overweight by 2-3 percentage points. Furthermore, we document a nonlinear effect up to 36 months after the lottery win, suggesting that small wins increase overweight and large wins reduce it. The effect of a lottery win varies depending on an individual’s working hours and educational attainment. A lottery win among low education individuals decreases the risk of overweight.

KNOWLEDGE, ATTITUDES AND PERCEPTIONS OF DENTISTRY PATIENTS AND THEIR RELATIVES ABOUT THE COVID-19 PANDEMIC

Objective: The purpose of this cross-sectional survey was to investigate the attitudes, perceptions, awareness, and knowledge of dental patients and their relatives through concrete questions about behavior and prediction patterns among the Coronavirus Disease 2019 (COVID-19) pandemic.Material and Methods: The questionnaire was administered face-to-face to 292 patients and their relatives who applied to the dental hospital during the COVID-19 pandemic. The data were run through univariate and multivariable regression analyses. Survey variables include demographics, comorbidities, compliance with protective measures, prediction of disease severity in case of coronavirus infection, hospital admission behaviors, the presence of coronavirus infection in the relative and the severity of the disease experienced by the relative and the risk of transmission in dentistry interventions during the pandemic.Results: Participants showed high compliance with the use of masks in the proper area (77.4%). Generally, women's attitudes, knowledge, and perception levels were higher than men during the pandemic. Participants in the elderly age group (55-85 years) and with comorbidities predicted that they would get more seriously ill in case of coronavirus infection, but their knowledge, awareness, attitudes, and perception levels were lower than younger age groups. It was revealed that the knowledge, attitudes, and perceptions of the participants with low education levels and existing comorbidities were lower in general than high educated and non-comorbid participants.Conclusion: In order to ensure full compliance with the protective measures, awareness and informative campaigns should primarily aim to inform male, low educated, comorbid, and elderly individuals.

The increasing educational divide in the life course development of subjective wellbeing across cohorts

Labour market, health, and wellbeing research provide evidence of increasing educational inequality as individuals age, representing a pattern consistent with the mechanism of cumulative (dis)advantage. However, individual life courses are embedded in cohort contexts that might alter life course differentiation processes. Thus, this study analyses cohort variations in education-specific life course patterns of subjective wellbeing (i.e. life, health and income satisfaction). Drawing upon prior work and theoretical considerations from life course theories, this study expects to find increasing educational life course inequality in younger cohorts. The empirical analysis relies on German Socio-Economic Panel data (1984–2016, v33). The results obtained from cohort-averaged random effects growth curve models confirm the cumulative (dis)advantage mechanism for educational life course inequality in subjective wellbeing. Furthermore, the results reveal substantial cohort variation in life course inequality patterns: regarding life and income satisfaction, the results indicate that the cumulative (dis)advantage mechanism does not apply to the youngest cohorts (individuals born between 1970 and 1985) under study. In contrast, the health satisfaction results suggest that educational life course inequality follows the predictions of the cumulative (dis)advantage mechanism only for individuals born after 1959. While the life course trajectories of highly educated individuals change only slightly across cohorts, the subjective wellbeing trajectories of low-educated individuals start to decline at earlier life course stages in younger cohorts, leading to increasing life course inequality over time. Thus, the overall findings of this study contribute to our understanding of whether predictions derived from sociological middle range theories are universal across societal contexts.

The effect of the Affordable Care Act Medicaid expansion on marriage

AbstractThis paper investigates the impact of the Affordable Care Act Medicaid expansions on marital behavior. We use data from the American Community Survey from 2008 to 2019 and estimate difference‐in‐differences models to test for effects on marriage and divorce outcomes. We find that expansions led to a 0.95% reduction in marriage stock and a 2.22% increase in divorce stock, with effects being larger among low educated individuals. We believe that two factors play a role as underlying mechanisms: (1) reduced reliance on spousal insurance coverage and (2) deciding to forego marriage or get divorced to meet eligibility restrictions.

The impact of the Covid-19 crisis on socioeconomic differences in physical activity behavior: Evidence from the Lifelines COVID-19 cohort study

Covid-19 and measures to contain spreading the disease have led to changed physical activity behavior. This study aims to investigate the relationship between socioeconomic status (SES) and changes in the amount of moderate to vigorous physical activity (MVPA) during the Covid-19 crisis. Using the Dutch Lifelines Covid-19 cohort study (n = 17,749), the amount of MVPA was measured at 15 time-points between March and December 2020, and compared with the amount before the Covid19 pandemic. For SES, the population was stratified in three education and income levels. Logistic regression models were used to estimate the odds ratio (OR) and confidence interval (CI) of altered MVPA for low and high SES groups, with the middle SES category as the reference group. A clear socioeconomic gradient in changes in MVPA behavior was observed. Low educated individuals had significantly higher odds (OR = 1.14; CI: 1.03–1.27) of decreasing MVPA, while the high educated had significantly lower odds of decreased MVPA (OR = 0.84, CI: 0.79–0.90). Both low education (OR = 0.87; CI: 0.77–0.98) and low income (OR = 0.85; CI 0.78–0.92) had significantly lower odds to increase MVPA, while high education (OR = 1.21, CI: 1.12–1.30) and high income (OR = 1.17; CI: 1.07–1.28) had significantly higher odds to increase MVPA. Most findings were consistent over the full research period. Socioeconomic inequalities in MVPA have increased during the Covid-19 pandemic, even when Covid-19 containment measures were relaxed. Our findings suggest that future public health policies need to increase efforts to improve physical activity behavior with an even larger focus on low SES groups.

The effect of unemployment benefits on health and living standards in Turkey: evidence from structural equation modelling and regression discontinuity design

PurposeUnemployment can negatively affect individuals, their families and communities in various ways. When individuals are out of work may experience mental and physical health problems, material deprivation and poverty. This study aims to examine the impact of unemployment benefits on health and living standards in Turkey.Design/methodology/approachThe authors employ a structural equation modelling (SEM) to consider the simultaneous relationships among the unemployment benefits and the latent variables of health and Standard of Living (SoL). We propose a fuzzy Regression Discontinuity Design (FRDD) and a Regression Kink Design (RKD) within the SEM framework to infer causality. For the empirical analysis, the authors employ the panel Income and Living Conditions Survey (ILCS) in 2007–2015.FindingsThe authors’ findings suggest that those who receive these benefits are more likely to report higher levels of health and improve their living standards compared to the non-recipients. Furthermore, unemployment benefits replacement rates are associated with improved levels in health and living standards. The authors’ results indicate a substantial heterogeneity on the impact of unemployment benefits since males, low educated individuals and those belonging to the lower levels of income are affected more in terms of their health status and living standards.Originality/valueThe majority of earlier studies have focused on the impact of unemployment benefits on labor outcomes. The originality of this study is that we implement the FRDD and RKD within the SEM framework to explore, simultaneously, the impact of unemployment insurance on health and living standards. Moreover, future research studies can implement this framework to infer causality and explore the impact of related policies and reforms.

Why Do Lower Educated People Separate More Often? Life Strains and the Gradient in Union Dissolution

Abstract In many Western countries, coresidential unions of lower educated people are less stable than those of higher educated people. A prominent explanation of this gradient in union dissolution holds that the lower educated experience more strain. Evidence for this explanation has been limited by a focus on only the economic dimension of strain and on only one partner in each union. In this study, we broadened the concept of strain to cover multiple life domains and capture the experience of both partners in each union. To do so, we used longitudinal data from the Household, Income and Labour Dynamics in Australia survey (N = 52,574 union-years; 7,930 unions). Generalized structural equation models showed that lower educated individuals experienced more strain not only in the economic domain but also in other life domains. Moreover, lower educated individuals tended to have partners who experienced more strain as well. In total, the joint experience of life strains explained 49% of the education gradient in union dissolution. These results suggest that life strains are pivotal to the stratification of family life.

The impact of population's educational composition on Healthy Life Years: An empirical illustration of 16 European countries

Healthy Life Years (HLY) is a prominent summary indicator for evaluating and comparing the levels of population health status across Europe. Variations in HLY, however, do not necessarily reflect underlying differences in health and mortality levels among countries and the indicator is particularly sensitive when broken down by subpopulations. For instance, despite European countries showing large HLY inequalities by educational level, these countries are also heterogenous regarding their population composition by educational attainment, which most likely affects their HLY levels. We demonstrate how this compositional effect shapes HLY levels by providing estimates for HLY by educational attainment and gender for 16 European countries using the Sullivan method. We use prevalence data about limitations in daily activities from the European Union Statistics on Income and Living Conditions (EU-SILC) and mortality data from the Eurostat database. Finally, we adjust for compositional effects by means of standardization. The education-adjusted HLY estimates do not differ much from conventional HLY. Yet, we find that in some countries HLY levels are indeed affected by the population composition by educational attainment. For example, low-, medium-, and high educated individuals in Portugal show more HLY than their counterparts in Poland. Still, Poland's total HLY value slightly exceeds that of Portugal, indicating favorable health and mortality conditions in Poland. It is Poland's lower relative number of low educated individuals in its population that is responsible for producing this higher total HLY value. We conclude that differentials in HLY due to differences in the relative size of educational subpopulations are generally small in HLY across Europe but they can play an important role for countries that experienced large differences in their educational expansion.

Social inequality and the risk of living in a nursing home: implications for the COVID-19 pandemic

Across EU countries, all available evidence suggests that the number of deaths linked to COVID-19 among those living in nursing homes has been extremely high. However, it is largely unknown to what extent income and education affect the probability of being a nursing home resident. If the probability of residing in a nursing home is stratified by socio-economic status, under the current COVID-19 pandemic socio-economic inequality in the probability of living in a nursing home could contribute to enlarge socio-economic inequalities in the risk of mortality with COVID-19. In this article, we investigate whether there are income and educational differences in the likelihood of being a resident in a nursing home across 12 European countries. We use SHARE data (waves 5–7) and compute logistic regression models for rare events. We find that low-educated individuals and those having household income below the national median are more likely to live in a nursing home. This general pattern holds across all the European countries considered. However, there is considerable uncertainty in our estimates due to a small sample size, and firm conclusions on how the effect of socio-economic characteristics varies across countries cannot be drawn. Still, there is some indication that educational and income differences are the largest in the Scandinavian countries (Denmark and Sweden) and the Netherlands, while the smallest ones are found in Italy, with the remaining countries laying in between.

When particulate matter strikes cities: Social disparities and health costs of air pollution

We investigate the heterogeneous effects of particle pollution on Italian daily hospitalizations and their costs by exploiting public transportation strikes as plausibly-exogenous shocks in pollution exposure. We find that a one standard deviation increase in PM10 causes additional 0.79 hospitalizations per 100,000 residents, and the effect is stronger for the elderly, low educated individuals and migrants. Furthermore, we find that young individuals, an arguably healthy age group, exhibit economically meaningful responses to air pollution with an effect ranging between 0.45 and 1.04. Our results imply a large role of avoidance behavior driving heterogeneous marginal health effects. Total daily costs of a one standard deviation increase in PM10 represent 0.5% of the total daily health expenditure, and 85% of this additional spending comes from more patients hospitalized, while the remaining 15% can be attributable to more costly, and likely more complex, hospitalizations.

Association of Pulmonary Function With Cognitive Decline in Older Adults: A Nationwide Longitudinal Study in China.

This study aimed to examine whether pulmonary function and cognition are independently associated at multiple time points. We included 8264 participants (49.9% women) aged 50-94 years at baseline from the China Health and Retirement Longitudinal Study in our analysis. Participants were enrolled in 2011 and followed up in 2013 and 2015. Cognitive function was assessed through a face-to-face interview in each survey. Pulmonary function was assessed via peak expiratory flow. Pulmonary function and cognitive function decreased significantly with age in both genders. Individuals in quintile 5 of pulmonary function had a relative increase in immediate memory (β [95% CI]: 0.19 [0.09, 0.30]) and delayed memory (0.16 [0.04, 0.28]) during follow-up compared with those in quintile 1. In the repeated-measures analysis, each standard deviation increment of pulmonary function was associated with a 0.44 (95% CI: 0.34, 0.53), 0.12 (0.09, 0.15), 0.12 (0.08, 0.16), 0.08 (0.06, 0.11), and 0.10 (0.07, 0.14) higher increase in global cognitive score, immediate memory, delayed memory, orientation, and subtraction calculation, respectively. The inverse association between pulmonary function and cognitive decline during follow-up was more evident in women (p for interaction = .0333), low-educated individuals (p for interaction = .0002), or never smokers (p for interaction = .0412). In conclusion, higher baseline pulmonary function was independently associated with a lower rate of cognitive decline in older adults. The positive association between pulmonary function and cognition was stronger in women, lower-educated individuals, or never smokers.

Increasing knowledge on dementia risk reduction in the general population: Results of a public awareness campaign

Strategies to reduce dementia risk are needed to minimize the burden of this growing public health concern. Most individuals are not aware that dementia risk reduction is possible, let alone how this could be achieved. Health education, such as public awareness campaigns on the topic of dementia risk reduction, can meet this need. A public health campaign (including social media and offering an online individual risk assessment tool) was carried out over a 7-month period in Flanders, Belgium. Impact was assessed in two independent online surveys, before (n = 1003) and after the campaign (n = 1008), in representative samples of adults aged 40–75 years. Questions regarding personal needs, wishes and barriers were also included. After the campaign, more individuals (10.3%) were aware that dementia risk reduction is possible than before the campaign, and more individuals correctly identified 10 out of 12 surveyed modifiable dementia risk and protective factors. However, no differences were observed in low-educated individuals. Further, specific differences in potential needs, wishes and barriers for future campaigns or interventions were observed between demographic strata. The majority of the respondents (89%) indicated that they would welcome more information on improving their brain-health. More than half (54%) also believed that they lacked the necessary knowledge to make brain-healthy behavior changes. In conclusion, effective public awareness campaigns on the topic of dementia risk reduction are feasible and timely, given the state of the evidence. Special efforts need to be made to develop effective campaigns, tailored towards low-educated individuals.

Job Destruction, Unemployment, and Unemployment Insurance Benefits: Evidence from the Outbreak of COVID-19 across US Counties

This paper explores the potential externality of welfare payments under the Unemployment Insurance (UI) program during times of high job destruction rates and unemployment rates on the spread and mortality of COVID-19. Using data for all US counties over the year 2020 and applying a difference-in-difference identification strategy, we explore the potential effects of UI benefits on the spread of COVID-19. We find that each additional $1,000 increase in UI maximum benefit is associated with 0.03 fewer deaths and 3.9 fewer confirmed cases per 100,000 population. The results are quite robust across specifications and subsamples with larger effects observed among counties with a higher share of blacks and low educated individuals and among counties below-median of per capita income.

The Figure Memory Test: diagnosis of memory impairment in populations with heterogeneous educational background.

ABSTRACT.Diagnosis of cognitive impairment is usually difficult in low-educated individuals. The Brief Cognitive Screening Battery (BCSB) was designed as a screening tool for the evaluation of cognitive impairment in low-educated individuals, but it may also be used for evaluating individuals with high educational level.Objectives: To perform a narrative review analyzing the origin of the BCSB, to report all studies that have used the Figure Memory Test (FMT) of the BCSB, and to demonstrate that it is a useful battery for regions where populations have heterogeneous educational background.Methods: We performed a search in PubMed, SciELO, and LILACS using the terms “Brief Cognitive Screening Battery” and “Brief Cognitive Battery”.Results: We obtained 49 papers from PubMed, 32 from SciELO, and 28 from LILACS. After the exclusion of duplicate papers, 54 publications were obtained; five more studies were included from previous knowledge of the authors. Twenty-four papers were related to the impact of education on performance, diagnostic accuracy, cutoff scores and normative studies. The delayed recall of the FMT showed the best accuracy for the diagnosis of dementia with a cutoff score of ≤5 in different education levels. In 35 papers, the FMT of the BCSB was used in clinical studies with different settings, from outpatient memory clinics to epidemiological studies and evaluation of Amazon river basin dwelling individuals, and it was always considered to be easy to apply.Conclusions: The FMT of the BCSB is an easy and short tool for the diagnosis of dementia in populations with heterogeneous educational background.

Job Loss and Food Insecurity During the COVID-19 Pandemic

Nutritious eating habits contribute to a stronger immune system necessary for prevention and easier recovery from illnesses. A job loss, experienced by millions of Americans during the Covid-19 pandemic, is expected to negatively affect food security of families. This research explores the effect of a recent job loss during the Covid-19 crisis on food sufficiency. The findings suggest that a job loss in the family is associated with greater food insecurity, reduced likelihood that a family has a sufficient amount of food, and deteriorated child nutrition. There is also a differential effect between currently employed and unemployed job losers, with the latter group being more adversely affected. The negative effect is primarily driven by Hispanic and low-educated individuals. These results have policy implications in the context of identifying vulnerable groups that are most likely to benefit from programs designed to provide sufficient nutrition to the population.

Socio-behavioral factors, oral hygiene level and periodontitis prevalence in a 35-44-year-old Greek adult population: A cross-sectional survey.

BackgroundSub-optimal oral hygiene is considered as a primary risk factor for periodontitis occurrence. Various socio-behavioral determinants may contribute either independently or by influencing adversely the oral hygiene (OH) level. The aim of the present study was to examine the periodontal status of 35-44-year-old Greek adults and determine the contribution of risk indicators, including the socio-behavioral aspects and the population’s oral hygiene level, on disease prevalence. Material and MethodsIn 1218 participants, Community Periodontal Index (CPI), Loss of Attachment (LoA) and simplified Oral Hygiene Index (OHI-S) were calculated. Multivariable regression models examined the effect of socio-behavioral factors with/without the inclusion of OHI-S level on pocket depth (PD)≥4mm and LoA≥4mm presence. Results11.8% of the participants had healthy periodontium, whereas 37.3% and 5.6% presented with shallow and deep pocketing, respectively. 60.4%, 28.8%, and 10.8.% of the adults demonstrated LoA≤3mm, 4-5mm, and ≥6mm, accordingly. Fair and poor oral hygiene significantly increased the likelihood for PD≥4mm (OR=4.8-20.3) and LoA≥4mm (OR=3.3-6.0) presence. ‘Emergency-oriented dental visiting pattern’ significantly elevated the chance for PD≥4mm presence (OR=1.7). ‘Lower education level’ ‘urban location’, and ‘using an interdental brush’ were significantly independently linked to LoA≥4mm occurrence (OR=1.7-2.1, 1.5, and 2.0, respectively). Lower educated individuals demonstrated inferior oral hygiene status, which in turn elevated significantly the chances of PD≥4mm presence. Smoking more than 10 cigarettes/day, emergency-oriented dental attendance pattern and not flossing were linked to worse oral hygiene levels, which consequently increased significantly the likelihood of LoA≥4mm occurrence. ConclusionsFair and poor oral hygiene contribute strongly to periodontitis occurrence. Various socio-behavioral factors may influence adversely oral hygiene maintenance, leading to periodontitis manifestations. Key words:Community periodontal index, periodontal attachment loss, oral hygiene, adults 35-44, cross-sectional survey, socio-behavioral indicators.

Modeling of the Factors Affecting e-Commerce Use in Turkey by Categorical Data Analysis

e-Commerce use is a subject of study that has been frequently discussed in recent years. The aim of this study was to detect the socio-demographic and economic factors affecting e-commerce use of individuals in Turkey. The micro dataset obtained from Information and Communication Technology (ICT) Usage Survey in Households performed by the Turkish Statistical Institute in 2014-2018 was employed in this study. Multinomial logistic and multinomial probit regression analyses were performed to detect the factors affecting e-commerce use of individuals in Turkey. The data of 129,643 individuals, who participated in ICT Usage Survey in Households in 2014-2018, were employed in the regression analyses. According to the analysis results, the variables of survey year, age, gender, educational level, occupation, income level, region and household size were detected to be effective on online shopping. The results of the study indicated that e-commerce use was gradually increasing. It was determined that more educated and young individuals and individuals living in relatively more developed regions were more inclined to online shopping. Policies should also be developed to increase e-commerce use of low educated individuals and individuals over middle age. In particular, small and medium-sized businesses (SMB) should pay more attention to the use of e-commerce in order to increase their activities by taking these situations into consideration. Indeed, how important e-commerce use is has been found out in epidemics/pandemics such as COVID-19, which causes people to lock themselves at home in the countries.

Internet-of-Things Skills Among the General Population: Task-Based Performance Test Using Activity Trackers.

BackgroundThe health internet-of-things (IoT) can potentially provide insights into the present health condition, potential pitfalls, and support of a healthier lifestyle. However, to enjoy these benefits, people need skills to use the IoT. These IoT skills are expected to differ across the general population, thereby causing a new digital divide.ObjectiveThis study aims to assess whether a sample of the general Dutch population can use health IoT by focusing on data and strategic IoT skills. Furthermore, we determine the role of gender, age, and education, and traditional internet skills.MethodsFrom April 1, 2019, to December 12, 2019, 100 individuals participated in this study. Participants were recruited via digital flyers and door-to-door canvassing. A selective quota sample was divided into equal subsamples of gender, age, and education. Additional inclusion criteria were smartphone possession and no previous experience of using activity trackers. This study was conducted in 3 waves over a period of 2 weeks. In wave 1, a questionnaire was administered to measure the operational, mobile, and information internet skills of the participants, and the participants were introduced to the activity tracker. After 1 week of getting acquainted with the activity tracker, a task-based performance test was conducted in wave 2 to measure the levels of data IoT skills and the strategic IoT skill component—action plan construction. A week after the participants were asked to use the activity tracker more deliberately, a performance test was then conducted in wave 3 to measure the level of the strategic IoT skill component—action plan execution.ResultsThe participants successfully completed 54% (13.5/25) of the data IoT skill tasks. Regarding strategic IoT tasks, the completion rates were 56% (10.1/18) for action plan construction and 43% (3.9/9) for action plan execution. None of the participants were able to complete all the data IoT skill tasks, and none of the participants were able to complete all the strategic IoT skill tasks regarding action plan construction or its execution. Age and education were important determinants of the IoT skill levels of the participants, except for the ability to execute an action plan strategically. Furthermore, the level of information internet skills of the participants contributed to their level of data IoT skills.ConclusionsThis study found that data and strategic IoT skills of Dutch citizens are underdeveloped with regard to health purposes. In particular, those who could benefit the most from health IoT were those who had the most trouble using it, that is, the older and lower-educated individuals.