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      Effects of living alone versus with others and of housemate type on smoking, drinking, dietary habits, and physical activity among elderly people

      research-article
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      Epidemiology and Health
      Korean Society of Epidemiology
      Aged, Family characteristics, Health behavior, Korea

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          Abstract

          OBJECTIVES

          This study examined differences in health behaviors between elderly people living alone and with others; it also investigated whether the effect of living with others differs according to housemate type, namely a spouse and/or younger generations.

          METHODS

          Gender-stratified data from the 2013 Korea Community Health Survey for individuals aged 60 to 74 living in Seoul were analyzed. Logistic regression modeling was conducted to obtain odds ratios (ORs) and 95% confidence intervals (CIs) of the outcome variables (smoking, drinking, eating salty foods, inactive lifestyle) for the variables of interest (living alone/with others, housemate type). Models were adjusted for confounding variables including history of medical conditions, employment type, and adjusted household income.

          RESULTS

          Analysis involved 1,814 men and 2,199 women. Risk of smoking was 1.80 times (95% CI, 1.21 to 2.67) higher for men living alone than living with others. Risk of eating salty foods was 0.78 times lower (95% CI, 0.62 to 0.98) for men living with a spouse than a spouse and younger generations. Risk of inactive lifestyle was 1.47 times higher (95% CI, 1.13 to 1.92) for women living alone. Risk of smoking was higher for women living alone (OR, 1.41; 95% CI, 1.03 to 1.92) or with younger generations (OR, 9.12; 95% CI, 2.04 to 40.80) than with a spouse and younger generations.

          CONCLUSIONS

          Living alone was associated with smoking in men and physical activity in women; housemate type was associated with dietary habits in men and smoking in women. These gender-specific findings can help identify groups of individuals vulnerable to risky health behaviors and to develop policies.

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          Most cited references12

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          Gender, marital status and the social control of health behavior.

          D Umberson (1992)
          Mortality rates are lower for married individuals than they are for unmarried individuals, and marriage seems to be even more beneficial to men than women in this regard. A theoretical model of social integration and social control is developed to explain why this may occur. Drawing from this model, I hypothesize that marriage may be beneficial to health because many spouses monitor and attempt to control their spouse's health behaviors. Furthermore, the provision, receipt, and consequences of these social control efforts may vary for men and women. These hypotheses are considered with analysis of a national panel survey conducted in 1986 (N = 3617) and 1989 (N = 2867). Results show that: (1) marriage is associated with receipt of substantially more efforts to control health for men than women, (2) those who attempt to control the health of others are more likely to be female than male, (3) there is some support for the social control and health behavior hypothesis among the married, and (4) the transition from married to unmarried status is associated with an increase in negative health behavior while the transition from unmarried to married status seems to have little effect on health behavior. A theoretical explanation is developed to explain these marital status differences.
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            Barriers to physical activity in older adults in Germany: a cross-sectional study

            Background Data on barriers to physical activity in older adults in Germany are scarce. The aim of this study was to analyse barriers to physical activity in a cohort of older adults, allowing comparisons between men and women, and age groups. Methods 1,937 older adults with a median age of 77 (range 72-93) years (53.3% female) took part in the 7-year follow-up telephone interviews of the getABI cohort. Participants who stated that they did not get enough physical activity were surveyed with respect to barriers to physical activity. Barriers were analysed for all respondents, as well as by sex and age group for cases with complete data. Multivariate logistic regression analysis was performed to evaluate differences between sexes and age groups. The level of significance (alpha < 0.05) was adjusted for multiple testing according to Bonferroni (p < .004). Results 1,607 (83.0%) participants stated that they were sufficiently physically active. 286 participants rated their physical activity as insufficient and responded to questions on barriers to physical activity completely. The three most frequently cited barriers were poor health (57.7%), lack of company (43.0%), and lack of interest (36.7%). Lack of opportunities for sports or leisure activities (30.3% vs. 15.6%), and lack of transport (29.0% vs. 7.1%) were more frequently stated by female respondents than male respondents. These differences between men and women were significant (p = .003; p < .001) after adjustment for respondents' age. Analyses by age groups revealed that poor health was more frequently considered a barrier to physical activity by participants aged 80+ years compared to the younger age group (71.1% vs. 51.5%). This age-dependent difference was significant (p = .002) irrespective of the participants' sex. Conclusions The present study provides relevant data on barriers to physical activity in older adults. By revealing appreciable differences between men and women, and age groups, this study has implications for efforts to increase older adults' physical activity. Promotion and intervention strategies should consider the barriers and tailor measures to the specific needs of older adults in order to reduce their constraints to physical activity.
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              Korea Community Health Survey Data Profiles

              In 2008, Korea Centers for Disease Control and Prevention initiated the first nationwide survey, Korea Community Health Survey (KCHS), to provide data that could be used to plan, implement, monitor, and evaluate community health promotion and disease prevention programs. This community-based cross-sectional survey has been conducted by 253 community health centers, 35 community universities, and 1500 interviewers. The KCHS standardized questionnaire was developed jointly by the Korea Centers for Disease Control and Prevention staff, a working group of health indicators standardization subcommittee, and 16 metropolitan cities and provinces with 253 regional sites. The questionnaire covers a variety of topics related to health behaviors and prevention, which is used to assess the prevalence of personal health practices and behaviors related to the leading causes of disease, including smoking, alcohol use, drinking and driving, high blood pressure control, physical activity, weight control, quality of life (European Quality of Life-5 Dimensions, European Quality of Life-Visual Analogue Scale, Korean Instrumental Activities of Daily Living ), medical service, accident, injury, etc. The KCHS was administered by trained interviewers, and the quality control of the KCHS was improved by the introduction of a computer-assisted personal interview in 2010. The KCHS data allow a direct comparison of the differences of health issues among provinces. Furthermore, the provinces can use these data for their own cost-effective health interventions to improve health promotion and disease prevention. For users and researchers throughout the world, microdata (in the form of SAS files) and analytic guidelines can be downloaded from the KCHS website (http://KCHS.cdc.go.kr/) in Korean.
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                Author and article information

                Journal
                Epidemiol Health
                Epidemiol Health
                EPIH
                Epidemiology and Health
                Korean Society of Epidemiology
                2092-7193
                2017
                6 August 2017
                : 39
                : e2017034
                Affiliations
                Graduate School of Public Health, Seoul National University, Seoul, Korea
                Author notes
                Correspondence: Sung il Cho  Graduate School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea  E-mail: scho@ 123456snu.ac.kr
                Author information
                http://orcid.org/0000-0002-5409-3324
                http://orcid.org/0000-0003-4085-1494
                Article
                epih-39-e2017034
                10.4178/epih.e2017034
                5675988
                29121710
                229698f7-ae5d-4604-b062-337186eeb717
                ©2017, Korean Society of Epidemiology

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 27 January 2017
                : 21 July 2017
                Categories
                Original Article

                Public health
                aged,family characteristics,health behavior,korea
                Public health
                aged, family characteristics, health behavior, korea

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