Continuity and Innovation in the Data Collection Protocols of the Second Wave of the National Social Life, Health, and Aging Project

Marriage is linked to improved colorectal cancer-related health, likely in part through preventive health behaviors, but it is unclear what role spouses play in colorectal cancer screening. We therefore determine whether self-reported colonoscopy rates are correlated within married couples and the characteristics of spouses associated with colonoscopy use in each partner. We use US nationally-representative 2010 data which includes 804 male-female married couples drawn from a total sample of 3,137 community-dwelling adults aged 55–90 years old. Using a logistic regression model in the full sample (N=3,137), we first find married men have higher adjusted colonoscopy rates than unmarried men (61% versus 52%, p=0.023), but women’s rates do not differ by marital status. In the couples’ sample (N=804 couples), we use a bivariate probit regression model to estimate multiple regression equations for the two spouses simultaneously as a function of individual and spousal covariates, as well as the adjusted correlation within couples. We find that individuals are nearly twice as likely to receive a colonoscopy if their spouse recently has had one (OR=1.94, 95% CI: 1.39, 2.67, p<0.001). Additionally, we find that husbands have higher adjusted colonoscopy rates whose wives are: 1) happier with the marital relationship (65% vs 51%, p=0.020); 2) more highly educated (72% vs 51%, p=0.020), and 3) viewed as more supportive (65% vs 52%, p=0.020). Recognizing the role of marital status, relationship quality, and spousal characteristics on colonoscopy uptake, particularly in men, could help physicians increase guideline adherence.

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“…22, 23 The weighted overall response rate was 76.9%. Complete details on the sample design are available elsewhere.…”

Section: Methodsmentioning

confidence: 96%

Differences between husbands and wives in colonoscopy use: Results from a national sample of married couples

Kotwal

Lauderdale

Waite

et al. 2016

Preventive Medicine

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“…15,16 The first NSHAP data collection wave was in 2005-2006 and focused on individuals 57-85 years of age. Wave 2 of NSHAP data collection took place in 2010-11 and retained the excellent level of representativeness achieved in Wave 1.…”

Section: Participants and Methodsmentioning

confidence: 99%

“…15 Respondents who agreed to participate in the sleep sub-study were subsequently telephoned and then mailed wrist actiwatches and instructions on how to complete the actigraphy study, usually a few days following the in-home interview. 18 …”

Section: Participants and Methodsmentioning

confidence: 99%

Actigraphic sleep characteristics among older Americans

et al. 2015

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Objectives To date, there has been no evidence about objectively measured sleep characteristics from a representative national probability sample of adults in the United States. We used actigraphy to measure the sleep characteristics of older Americans. Design Cross-sectional study. Setting Sleep sub-study within Wave 2 (2010-2011) of the ongoing National Social Life, Health and Aging Project (NSHAP). Participants Seven hundred and thirty-nine NSHAP participants aged 62-90. Intervention Not applicable. Measurements Study participants wore a wrist actigraph for 72 hours and sleep properties were compared across demographic, socioeconomic, and health-behavior related lines. Results Actigraph-estimated sleep time averaged 7.2 hours (SE 0.06 hr) each night; the majority of the sample (80%) slept between 5.8 and 8.6 hours/night. Average time spent awake after sleep onset (WASO) was 39 minutes (SE 1.2 min). Women had significantly more total sleep time and lower sleep fragmentation compared to men. Total sleep time increased significantly with age although sleep percentage decreased with age. Compared with White participants, African American participants had significantly more WASO (9.2 minutes, p < 0.01) and greater sleep fragmentation (2.3 percentage points, p < 0.001). WASO was significantly higher and sleep percentage significantly lower among those with less education. Conclusions Both short sleepers and long sleepers – often conventionally defined as obtaining <6 and >9 hrs/night, respectively – are relatively rare among older Americans when sleep is estimated by actigraphy. Sleep quality is significantly poorer among men, African Americans, and those with less education.

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“…In addition, spouses or romantic partners living with the Wave 1 respondents were recruited for participation. The vaginal swab biomeasure was administered to a randomly selected two-thirds of female respondents selected prior to the interview (N = 1,198) (Jaszczak et al, 2014). The consent rate was 74.3% (n = 889).…”

Section: Study Populationmentioning

confidence: 99%

Prevalence of Bacterial Vaginosis and Candida among Postmenopausal Women in the United States

Hoffmann

You

Hedberg

et al. 2014

The Journals of Gerontology Series B: Psychological Sciences an

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Continuity and Innovation in the Data Collection Protocols of the Second Wave of the National Social Life, Health, and Aging Project

Abstract: This article describes both innovation in the development and implementation of W2 as well as fidelity to W1 study design and data collection procedures.

Cited by 24 publications

References 7 publications

Differences between husbands and wives in colonoscopy use: Results from a national sample of married couples

Differences between husbands and wives in colonoscopy use: Results from a national sample of married couples

Actigraphic sleep characteristics among older Americans

Prevalence of Bacterial Vaginosis and Candida among Postmenopausal Women in the United States

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