Characteristics of physical measurement consent in a population-based survey of older adults

Toward a New Approach to Creating Population-Representative Data for Demographic Research

The evaluation of innovative web-based data collection methods that are convenient for the general public and that yield high-quality scientific information for demographic researchers has become critical. Web-based methods are crucial for researchers with nationally representative research objectives but without the resources of larger organizations. The web mode is appealing because it is inexpensive relative to in-person and telephone modes, and it affords a high level of privacy. We evaluate a sequential mixed-mode web/mail data collection, conducted with a national probability sample of U.S. adults from 2020 to 2022. The survey topics focus on reproductive health and family formation. We compare estimates from this survey to those obtained from a face-to-face national survey of population reproductive health: the 2017-2019 National Survey of Family Growth (NSFG). This comparison allows for maximum design complexity, including a complex household screening operation (to identify households with persons aged 18-49). We evaluate the ability of this national web/mail data collection approach to (1) recruit a representative sample of U.S. persons aged 18-49; (2) replicate key survey estimates based on the NSFG, considering expected effects of the COVID-19 pandemic lockdowns and the alternative modes on the estimates; (3) reduce complex sample design effects relative to the NSFG; and (4) reduce the costs per completed survey.

Interviewer Effects on the Measurement of Physical Performance in a Cross-National Biosocial Survey

Biosocial surveys increasingly use interviewers to collect objective physical health measures (or "biomeasures") in respondents' homes. While interviewers play an important role, their high involvement can lead to unintended interviewer effects on the collected measurements. Such interviewer effects add uncertainty to population estimates and have the potential to lead to erroneous inferences. This study examines interviewer effects on the measurement of physical performance in a cross-national and longitudinal setting using data from the Survey of Health, Ageing and Retirement in Europe. The analyzed biomeasures exhibited moderate-to-large interviewer effects on the measurements, which varied across biomeasure types and across countries. Our findings demonstrate the necessity to better understand the origin of interviewer-related measurement errors in biomeasure collection and account for these errors in statistical analyses of biomeasure data.

A randomised study of nurse collected venous blood and self-collected dried blood spots for the assessment of cardiovascular risk factors in the Understanding Society Innovation Panel

Dried blood spot (DBS) sample collection has been suggested as a less invasive, cheaper and more convenient alternative to venepuncture, which requires trained personnel, making it a potentially viable approach for self-collection of blood on a large scale. We examine whether participants in a longitudinal survey were willing to provide a DBS sample in different interview settings, and how resulting cardiovascular risk biomarkers compared with those from venous blood to calculate clinical risk. Participants of the Understanding Society Innovation Panel, a representative sample of UK households, were randomly assigned to three modes of interview. Most participants (84%) were interviewed in their allocated mode. Participants (n = 2162) were interviewed by a nurse who collected both a blood sample by venepuncture and a DBS card ('nurse collection') or participants were seen by an interviewer or took part in the survey online to self-collect a DBS card ('self-collection'). All DBS cards were returned in the post after the sample had dried. Lipids (total cholesterol, HDL-cholesterol, triglycerides), HbA1c and C-reactive protein were measured in venous and DBS samples and equivalence was calculated. The resultant values were used to confirm equivalent prevalence of risk of cardiovascular disease in each type of blood sample by mode of participation. Of participants interviewed by a nurse 69% consented to venous blood sample and 74% to a DBS sample, while in the self-collection modes, 35% consented to DBS collection. Demographic characteristics of participants in self-collection mode was not different to those in nurse collection mode. The percentage of participants with clinically raised biomarkers did not significantly differ between type of blood collection (for example, 62% had high cholesterol (> 5 mmol/l) measured by venepuncture and 67% had high cholesterol within the self-collected DBS sample (p = 0.13)). While self-collected DBS sampling had a lower response rate to DBS collected by a nurse, participation did not vary by key demographic characteristics. This study demonstrates that DBS collection is a feasible method of sample collection that can provide acceptable measures of clinically relevant biomarkers, enabling the calculation of population levels of cardiovascular disease risk.

From financial wealth shocks to ill-health: Allostatic load and overload

A number of studies have associated financial wealth changes with health-related outcomes arguing that the effect is due to psychological distress and is immediate. In this paper, I examine this relationship for cumulative shocks to the financial wealth of American retirees using the allostatic load model of pathways from stress to poor health. Wealth shocks are identified from Health and Retirement Study reports of stock ownership along with significant negative discontinuities in high-frequency S&P500 index data. I find that a one standard deviation increase in cumulative shocks over two years increases the probability of elevated blood pressure by 9.5%, increases waist circumference by 1.2% and the cholesterol ratio by 6.1% for those whose wealth is all in shares. My findings suggest that the combined effect of random shocks to financial wealth over time is salient for health outcomes. This is consistent with the allostatic load model in which repeated activation of stress responses leads to cumulative wear and tear on the body.

Squats in Surveys: Investigating the Feasibility of, Compliance With, and Respondents' Performance on Fitness Tasks in Self-Administered Smartphone Surveys Using Acceleration Data

Digital health data that accompany data from traditional surveys are becoming increasingly important in health-related research. For instance, smartphones have many built-in sensors, such as accelerometers that measure acceleration so that they offer many new research possibilities. Such acceleration data can be used as a more objective supplement to health and physical fitness measures (or survey questions). In this study, we therefore investigate respondents' compliance with and performance on fitness tasks in self-administered smartphone surveys. For this purpose, we use data from a cross-sectional study as well as a lab study in which we asked respondents to do squats (knee bends). We also employed a variety of questions on respondents' health and fitness level and additionally collected high-frequency acceleration data. Our results reveal that observed compliance is higher than hypothetical compliance. Respondents gave mainly health-related reasons for non-compliance. Respondents' health status positively affects compliance propensities. Finally, the results show that acceleration data of smartphones can be used to validate the compliance with and performance on fitness tasks. These findings indicate that asking respondents to conduct fitness tasks in self-administered smartphone surveys is a feasible endeavor for collecting more objective data on physical fitness levels.

Physical measures and biomarker collection in health surveys: Propensity to participate

Population-based surveys have long been a key tool for health researchers, policy makers and program managers. The addition of bio-measures, including physical measures and specimen collection, to self-reported health and health behaviors can increase the value of the research for health sciences. At the same time, these bio-measures are likely to increase the perceived burden and intrusiveness to the respondent. Relatively little research has been reported on respondent willingness to participate in surveys that involve physical measures and specimen collection and whether there is any associated non-response bias. This paper explores the willingness of respondents to participate in surveys that involve physical measures and biomarkers. A Census-balanced sample of nearly 2000 adults from a national mobile panel of persons residing in the U.S. were interviewed. Willingness to participate in six specific bio-measures was assessed. The survey finds a high correlation in the willingness of respondents to participate among these specific bio-measures. This suggests there is a general propensity towards (and against) bio-measures among potential respondents, despite some differences in willingness to participate in the more sensitive, intrusive or burdensome biomarkers. This study finds the general propensity to participate in bio-measures is correlated with a number of key measures of health and illness. This suggests that the inclusion of biomarkers in health surveys may introduce some bias in key measures that need to be balanced against the value of the additional information.

Nurse effects on measurement error in household biosocial surveys

Background

Biosocial survey data are in high demand, yet little is known about the measurement quality of health measures collected by nurses in respondents’ homes. Our objective was to analyze the degree to which nurses influence measurement in anthropometric and physical performance indicators collected from respondents in two nationally-representative UK biosocial surveys.

Methods

The English Longitudinal Survey of Ageing and the UK Household Longitudinal Study – Understanding Society were used to analyze fourteen anthropometric and physical performance measures covering weight, height, pulse, grip strength, and lung capacity. Cross-classified multilevel models were used to estimate “nurse effects” on measurement error.

Results

Overall, there is a medium effect of nurses on measurement. Across all measures collected in both studies, nurses explain around 13% of all measurement variation. Variation in specific measures range between approximately 2 and 25%. Grip strength and lung capacity are more heavily influenced by nurses than are height, weight, and pulse. Lastly, nurse characteristics explain only a very small proportion of nurse measurement variation.

Conclusion

Objective health measures collected by nurses in household biosocial surveys are susceptible to non-trivial amounts of measurement variation. Nurse ID numbers should be regularly included in biosocial data releases to allow researchers to account for this unnecessary source of variation. Further, researchers are advised to conduct sensitivity analyses using control variables that account for nurse variation to confirm whether their substantive findings are influenced by nurse measurement effects.

Sexual Orientation Disparities in Physical Activity: Results From Insured Adults in California

BACKGROUND

The majority of adults in the United States fail to meet the Centers for Disease Control and Prevention (CDC) physical activity (PA) guideline recommendations for health promotion. Despite evidence of disparities by sexual orientation in adverse health outcomes related to PA, little is known about whether PA patterns and the likelihood of meeting these guidelines differ between heterosexual and sexual minority (SM) men and women.

METHODS

In 2018, we pooled unweighted respondent data from Kaiser Permanente Northern California Member Health Surveys conducted in 2008, 2011, and 2014/15 (N=42,534) to compare PA patterns among heterosexual and SM men and women.

RESULTS

In total, 38.8% of heterosexual men, 43.4% of SM men, 32.9% of heterosexual women, and 40.0% of SM women meet the CDC PA guidelines, yet there was no statistically significant difference in the adjusted odds of meeting these guidelines. Compared with heterosexual women, SM women engage in PA more frequently [odds ratio=0.81; 95% confidence interval (CI), 0.74-0.89], for more minutes per week on average (12.71; 95% CI, 4.85-20.57), and at higher levels of intensity (relative risk ratio=1.26; 95% CI, 1.02-1.56). Compared with heterosexual men, SM men engage in PA more frequently (OR=0.85; 95% CI, 0.74-0.98), for fewer minutes per week on average (-12.89; 95% CI, -25.84 to 0.06), and at lower levels of intensity (relative risk ratio=0.83; 95% CI, 0.67-0.99).

CONCLUSIONS

We find that SMs get more frequent PA than their heterosexual peers, which suggests that the higher prevalence of obesity and other PA-related adverse health outcomes among SMs may be due to factors other than PA patterns.

The Effect of Job Loss on Health: Evidence from Biomarkers

We estimate the effect of job loss on objective measures of physiological dysregulation using biomarker measures collected by the Health and Retirement Study in 2006 and 2008 and longitudinal self-reports of work status. We distinguishing between mass or individual layoffs, and business closures. Workers who are laid off from their job have lower biomarker measures of health, whereas workers laid off in the context of a business closure do not. Estimates matching respondents wave-by-wave on self-reported health conditions and subjective job loss expectations prior to job loss, suggest strong effects of layoffs on biomarkers, in particular for glycosylated hemoglobin (HbA1c). A Layoff could increase annual mortality rates by 10.3%, consistent with other evidence of the effect of mass layoffs on mortality.

The association between socioeconomic status and cardiovascular risk factors among middle-aged and older men and women

Studies of gender differences in the association between socioeconomic status (SES) and cardiovascular risk factors have produced mixed findings. The purpose of this research was to examine whether the association between SES and cardiovascular risk factors differed between older men and women. Using data on physical measures and biomarkers from the 2006 Health and Retirement Study (N = 2,502 men; N = 3,474 women), linear regression models were used to estimate the association between SES and seven cardiovascular risk factors. Interactions between gender and SES were tested. For all seven risks assessed, we observed significant associations of selected SES factors to cardiovascular risk for men and/or women. In all of these cases, lower SES was associated with higher cardiovascular risk. However, for six of the factors, we also observed gender differences in the association between SES and cardiovascular risk, such that lower SES was associated with higher cardiovascular risk for women but not for men. These findings suggest that the association between SES and cardiovascular risk is more pronounced for women than for men. Implementing interventions to reduce cardiovascular risk factors, particularly among older women with lower SES, might, over time, reduce cardiovascular disease in women and improve quality of life.

Physical function limitations among middle-aged and older adults with prediabetes: one exercise prescription may not fit all

OBJECTIVE

To describe the prevalence of physical function limitations among a nationally representative sample of adults with prediabetes.

RESEARCH DESIGN AND METHODS

We performed a cross-sectional analysis of 5,991 respondents≥53 years of age from the 2006 wave of the Health and Retirement Study. All respondents self-reported physical function limitations and comorbidities (chronic diseases and geriatric conditions). Respondents with prediabetes reported no diabetes and had a measured glycosylated hemoglobin (HbA1c) of 5.7-6.4%. Descriptive analyses and logistic regressions were used to compare respondents with prediabetes versus diabetes (diabetes history or HbA1c≥6.5%) or normoglycemia (no diabetes history and HbA1c<5.7%).

RESULTS

Twenty-eight percent of respondents≥53 years of age had prediabetes; 32% had mobility limitations (walking several blocks and/or climbing a flight of stairs); 56% had lower-extremity limitations (getting up from a chair and/or stooping, kneeling, or crouching); and 33% had upper-extremity limitations (pushing or pulling heavy objects and/or lifting>10 lb). Respondents with diabetes had the highest prevalence of comorbidities and physical function limitations, followed by those with prediabetes, and then normoglycemia (P<0.05). Compared with respondents with normoglycemia, respondents with prediabetes had a higher odds of having functional limitations that affected mobility (odds ratio [OR] 1.48), the lower extremities (OR 1.35), and the upper extremities (OR 1.37) (all P<0.01). The higher odds of having lower-extremity limitations remained after adjusting for age, sex, and body mass index (OR 1.21, P<0.05).

CONCLUSIONS

Comorbidities and physical function limitations are prevalent among middle-aged and older adults with prediabetes. Effective lifestyle interventions to prevent diabetes must accommodate physical function limitations.

New strategies for biosample collection in population-based social research

This paper aims to increase understanding of the methodological issues involved in adding biomeasures to social research by investigating the potential of an event-triggered, self-collection technique for monitoring biological response to social events. We use data from the Relationship Dynamics and Social Life (RDSL) study, which collected saliva samples triggered by a life event important to the aims of the study - the end of a romantic relationship. Our investigation found little evidence that those who complied in the biosample collection were different from those who did not comply in terms of key study measures and sociodemographic characteristics. We also found no evidence that the biosample collection had adverse consequences for subsequent panel participation. We did find that prior cooperation in the study was an important predictor of biosample cooperation, which is important information in developing biosample collection strategies. As demand for biological samples directly linked to social data continues to grow, effective low-cost collection methods will become increasingly valuable. The evidence here indicates that self-collected biosamples may offer tremendous potential to meet this demand.

LINKING SURVEY AND ADMINISTRATIVE RECORDS: MECHANISMS OF CONSENT

Survey records are increasingly being linked to administrative databases to enhance the survey data and increase research opportunities for data users. A necessary prerequisite to linking survey and administrative records is obtaining informed consent from respondents. Obtaining consent from all respondents is a difficult challenge and one that faces significant resistance. Consequently, data linkage consent rates vary widely from study-to-study. Several studies have found significant differences between consenters and non-consenters on socio-demographic variables, but no study has investigated the underlying mechanisms of consent from a theory-driven perspective. In this study, we describe and test several hypotheses related to respondents' willingness to consent to an earnings and benefit data linkage request based on mechanisms related to financial uncertainty, privacy concerns, resistance towards the survey interview, level of attentiveness during the interview, the respondents' preexisting relationship with the administrative data agency, and matching respondents and interviewers on observable characteristics. The results point to several implications for survey practice and suggestions for future research.

Questions for Surveys: Current Trends and Future Directions

We begin with a look back at the field to identify themes of recent research that we expect to continue to occupy researchers in the future. As part of this overview, we characterize the themes and topics examined in research about measurement and survey questions published in Public Opinion Quarterly in the past decade. We then characterize the field more broadly by highlighting topics that we expect to continue or to grow in importance, including the relationship between survey questions and the total survey error perspective, cognitive versus interactional approaches, interviewing practices, mode and technology, visual aspects of question design, and culture. Considering avenues for future research, we advocate for a decision-oriented framework for thinking about survey questions and their characteristics. The approach we propose distinguishes among various aspects of question characteristics, including question topic, question type and response dimension, conceptualization and operationalization of the target object, question structure, question form, response categories, question implementation, and question wording. Thinking about question characteristics more systematically would allow study designs to take into account relationships among these characteristics and identify gaps in current knowledge.

Recruitment and retention of minority participants in the health and retirement study

PURPOSE

Minority oversamples of African Americans and Hispanics have been a key feature of the Health and Retirement Study (HRS) design from its origins in 1992. The objective of this article was to assess the quality of the HRS with respect to the recruitment and retention of minority respondents.

DESIGN AND METHODS

To evaluate minority recruitment efforts, we examine baseline response rates for the early baby boom cohort that was added in the 2004 wave and the representativeness of this cohort with regard to demographic, socioeconomic, and health characteristics. To evaluate retention, we focus on minority differentials in 2008 interview, nonresponse and mortality outcomes for the full HRS sample. We also examine minority differentials in participation in supplemental components of the HRS.

RESULTS

Minority response rates at baseline and in longitudinal follow-ups for the main HRS interview have been equal to or better than that of majority Whites. Conversely, response rates to some specific supplemental components have been lower for minority sample members.

IMPLICATIONS

The oversample strategies that the HRS has employed have been successful at identifying and recruiting minority participants at response rates very comparable with that of Whites and others. Minority differentials in participation in supplemental components have been overcome to some extent through interviewer training and targeted follow-up strategies. The HRS experience suggests that well-trained interviewers can overcome most if not all of whatever race and ethnic differentials exist in willingness to participate in surveys, including those involving biological data collection.

Aging in a cultural context: cross-national differences in disability and the moderating role of personal control among older adults in the United States and England

OBJECTIVES

We investigate cross-national differences in late-life health outcomes and focus on an intriguing difference in beliefs about personal control found between older adult populations in the U.K. and United States. We examine the moderating role of control beliefs in the relationship between physical function and self-reported difficulty with daily activities.

METHOD

Using national data from the United States (Health and Retirement Study) and England (English Longitudinal Study on Ageing), we examine the prevalence in disability across the two countries and show how it varies according to the sense of control. Poisson regression was used to examine the relationship between objective measures of physical function (gait speed) and disability and the modifying effects of control.

RESULTS

Older Americans have a higher sense of personal control than the British, which operates as a psychological resource to reduce disability among older Americans. However, the benefits of control are attenuated as physical impairments become more severe.

DISCUSSION

These results emphasize the importance of carefully considering cross-national differences in the disablement process as a result of cultural variation in underlying psychosocial resources. This paper highlights the role of culture in shaping health across adults aging in different sociopolitical contexts.

Can Food Stamps help to reduce Medicare spending on diabetes?

Diabetes is rapidly escalating amongst low-income, older adults at great cost to the Medicare program. We use longitudinal survey data from the Health and Retirement Study linked to administrative Medicare records and biomarker data to assess the relationship between Food Stamp receipt and diabetes health outcomes. We find no significant difference in Medicare spending, outpatient utilization, diabetes hospitalizations and blood sugar (HbA1c) levels between recipients and income-eligible non-recipients after controlling for a detailed set of covariates including individual fixed effects and measures of diabetes treatment compliance. As one-third of elderly Food Stamp recipients are currently diabetic, greater coordination between the Food Stamp, Medicare, and Medicaid programs may improve health outcomes for this group.