Dataset Information

Physical inactivity among American single-female caregivers: An analysis of the 2020 behavioral risk factor surveillance system.

ABSTRACT: Many adults in the United States do not reach the recommended levels of activity needed for health benefits. Single-female caregivers present a unique and vulnerable population that is often less active than their partnered peers or single-male caregivers. The primary objective of this cross-sectional investigation was to identify the prevalence of physical inactivity in single-family, female-led households and determine differences in personal factors and social characteristics between physically active and not physically active single-female caregivers. A secondary objective was to examine associations among the social characteristic variables and physical inactivity in single-female caregiver households. Finally, we examined the odds single-female caregivers who are physically inactive reported chronic health conditions. Cross-sectional survey design. We used the 2020 Behavioral Risk Factor Surveillance System (BRFSS) data. Participants were selected based on pre-determined criteria for inclusion. There was a 39.3% prevalence of physical inactivity among single-female caregivers in the sample. Single-female caregivers who were physically inactive had greater odds of having a history of multiple chronic health conditions. Healthcare providers and other community stakeholders should explore existing physical activity promotion strategies to increase physical activity in single-female caregivers. Future research should employ more rigorous, prospective research designs to determine if these chronic conditions and various social characteristics are caused by physical inactivity.

SUBMITTER: Hoch JM

PROVIDER: S-EPMC11292714 | biostudies-literature | 2024 Jan-Dec

REPOSITORIES: biostudies-literature

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Physical inactivity among American single-female caregivers: An analysis of the 2020 behavioral risk factor surveillance system.

Hoch Johanna M JM Dlugonski Deirdre D Slone Stacey S Hogg-Graham Rachel R Jones Maureen M

Women's health (London, England) 20240101

<h4>Background</h4>Many adults in the United States do not reach the recommended levels of activity needed for health benefits. Single-female caregivers present a unique and vulnerable population that is often less active than their partnered peers or single-male caregivers.<h4>Objective</h4>The primary objective of this cross-sectional investigation was to identify the prevalence of physical inactivity in single-family, female-led households and determine differences in personal factors and soc ...[more]

PMID: 39082688

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Project description:BackgroundDiabetes mellitus (DM) is a leading contributor to morbidity and mortality in the United States (US). Prior DM prevalence estimates in Asian Americans are predominantly from Asians aggregated into a single group, but the Asian American population is heterogenous.ObjectiveTo evaluate self-reported DM prevalence in disaggregated Asian American subgroups to inform targeted management and prevention.DesignSerial cross-sectional analysis.ParticipantsRespondents to the US Behavioral Risk Factor Surveillance System surveys who self-identify as non-Hispanic Asian American (NHA, N=57,001), comprising Asian Indian (N=11,089), Chinese (N=9458), Filipino (N=9339), Japanese (N=10,387), and Korean Americans (N=2843), compared to non-Hispanic White (NHW, N=2,143,729) and non-Hispanic Black (NHB, N=215,957) Americans.Main measuresPrevalence of self-reported DM. Univariate Satterthwaite-adjusted chi-square tests compared the differences in weighted DM prevalence by sociodemographic and health status.Key resultsSelf-reported fully adjusted DM prevalence was 8.7% (95% confidence interval 8.2-9.3) in NHA, compared to 14.3% (14.0-14.6) in NHB and 10.0% (10.0-10.1) in NHW (p<0.01 for difference). In NHA subgroups overall, DM prevalence was 14.4% (12.6-16.3) in Filipino, 13.4% (10.9-16.2) in Japanese, 10.7% (9.6-11.8) in Asian Indian, 5.1% (4.2-6.2) in Chinese, and 4.7% (3.4-6.3) in Korean Americans (p<0.01). Among those aged ≥65 years, DM prevalence was highest in Filipino (35.0% (29.4-41.2)) and Asian Indian (31.5% (25.9-37.8)) Americans. Adjusted for sex, education, and race/ethnicity-specific obesity category, NHA overall had a 21% higher DM prevalence compared to NHW (prevalence ratio 1.21 [1.14-1.27]), while prevalence ratios were 1.42 (1.24-1.63) in Filipinos and 1.29 (1.14-1.46) in Asian Indians.ConclusionsAdjusted self-reported DM prevalence is higher in NHA compared with NHW. Disaggregating NHA reveals heterogeneity in self-reported DM prevalence, highest in Filipino and Asian Indian Americans.

Project description:Importance:The prevalence of the use of electronic cigarettes (e-cigarettes) in the United States has grown rapidly since their introduction to the market more than a decade ago. While several studies have demonstrated an association between combustible cigarette smoking and depression, the association between e-cigarette use and depression has not been thoroughly studied. Objective:To examine the association between e-cigarette use and depression in a nationally representative sample of the adult population in the United States. Design, Setting, and Participants:Cross-sectional study of the Behavioral Risk Factor Surveillance System database, 2016 to 2017. The Behavioral Risk Factor Surveillance System is the largest national telephone-based survey of randomly sampled adults in the United States. A total of 892 394 participants with information on e-cigarette use and depression were included. Data analysis was conducted in May 2019. Exposures:Electronic cigarette use status defined by self-report as never, former, or current use. Main Outcomes and Measures:Self-reported history of a clinical diagnosis of depression. Results:Of the 892 394 participants (414 326 [29.0%] aged ≥60 years; 502 448 [51.3%] women), there were 28 736 (4.4%) current e-cigarette users, of whom 13 071 (62.1%) were aged between 18 and 39 years. Compared with never e-cigarette users, current e-cigarette users were more likely to be single, male, younger than 40 years, and current combustible cigarette smokers (single, 120 797 [24.3%] vs 10 517 [48.4%]; men, 318 970 [46.6%] vs 14 962 [60.1%]; aged 18-39 years, 129 085 [32.2%] vs 13 071 [62.1%]; current combustible cigarette use, 217 895 [7.9%] vs 8823 [51.8%]). In multivariable adjusted models, former e-cigarette users had 1.60-fold (95% CI, 1.54-1.67) higher odds of reporting a history of clinical diagnosis of depression than never users, whereas current e-cigarette users had 2.10 (95% CI, 1.98-2.23) times higher odds. Additionally, higher odds of reporting depression were observed with increased frequency of use among current e-cigarette users compared with never users (daily use: odds ratio, 2.39; 95% CI, 2.19-2.61; occasional use: odds ratio, 1.96; 95% CI, 1.82-2.10). Similar results were seen in subgroup analyses by sex, race/ethnicity, smoking status, and student status. Conclusions and Relevance:This study found a significant cross-sectional association between e-cigarette use and depression, which highlights the need for prospective studies analyzing the longitudinal risk of depression with e-cigarette use. If confirmed by other study designs, the potential mental health consequences may have regulatory implications for novel tobacco products.

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Dataset Information

Physical inactivity among American single-female caregivers: An analysis of the 2020 behavioral risk factor surveillance system.

Publications

Physical inactivity among American single-female caregivers: An analysis of the 2020 behavioral risk factor surveillance system.

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