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      Prevalence and correlates of loneliness among Chinese service industry migrant workers : A cross-sectional survey

      research-article
      , MD, PhD a , , MD b , , MD b , , MD b , , MD, PhD b ,
      Medicine
      Wolters Kluwer Health
      epidemiology, loneliness, rural-to-urban migrant worker, service industry

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          Abstract

          Chinese rural-to-urban migrant workers (MWs) who are employed in service industry are a rapidly growing population in urban China. Like other MWs, service industry MWs (SIMWs) are generally excluded from the mainstream of city societies, but unlike other MWs, they are more marginalized in cities. Social isolation increases the feelings of loneliness; however, there are little empirical data on the epidemiology of loneliness of SIMWs. The present study aimed to investigate the prevalence and associated factors of loneliness among SIMWs in Shenzhen, China. By using respondent-driven sampling, 1979 SIMWs were recruited and administered with standardized questionnaires to collect data on sociodemographics, physical health, and migration-related characteristics. Loneliness and social support were measured with a single-item self-report question “Do you feel lonely often?” and Multidimensional Scale of Perceived Social Support (MSPSS), respectively. 18.3% of SIMWs reported feeling lonely often. Being aged 60 years or older (odds ratio [OR] = 2.30), marital status of “others” (OR = 2.77), being physically ill in the last 2 weeks (OR = 1.46), migrating alone (OR = 1.97), working >8 hours/day (OR = 1.06), MSPSS inside family subscale score ≤18 (OR = 1.80), and MSPSS outside family subscale score ≤38 (OR = 1.50) were significantly associated with increased risk of loneliness in SIMWs. Loneliness is prevalent in Chinese SIMWs and should be seen as a major public health issue. The high prevalence and many negative health consequences of loneliness highlight the importance of routine screening, evaluation, and treatment of loneliness in this vulnerable population.

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          Most cited references21

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          Loneliness predicts reduced physical activity: cross-sectional & longitudinal analyses.

          To determine cross-sectional and prospective associations between loneliness and physical activity, and to evaluate the roles of social control and emotion regulation as mediators of these associations. A population-based sample of 229 White, Black, and Hispanic men and women, age 50 to 68 years at study onset, were tested annually for each of 3 years. Physical activity probability, and changes in physical activity probability over a 3-year period. Replicating and extending prior cross-sectional research, loneliness was associated with a significantly reduced odds of physical activity (OR = 0.65 per SD of loneliness) net of sociodemographic variables (age, gender, ethnicity, education, income), psychosocial variables (depressive symptoms, perceived stress, hostility, social support), and self-rated health. This association was mediated by hedonic emotion regulation, but not by social control as indexed by measures of social network size, marital status, contact with close ties, group membership, or religious group affiliation. Longitudinal analyses revealed that loneliness predicted diminished odds of physical activity in the next two years (OR = 0.61), and greater likelihood of transitioning from physical activity to inactivity (OR = 1.58). Loneliness among middle and older age adults is an independent risk factor for physical inactivity and increases the likelihood that physical activity will be discontinued over time.
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            Evaluation of Respondent-driven Sampling

            Respondent-driven sampling is a novel variant of link-tracing sampling for estimating the characteristics of hard-to-reach groups, such as HIV prevalence in sex workers. Despite its use by leading health organizations, the performance of this method in realistic situations is still largely unknown. We evaluated respondent-driven sampling by comparing estimates from a respondent-driven sampling survey with total population data. Total population data on age, tribe, religion, socioeconomic status, sexual activity, and HIV status were available on a population of 2402 male household heads from an open cohort in rural Uganda. A respondent-driven sampling (RDS) survey was carried out in this population, using current methods of sampling (RDS sample) and statistical inference (RDS estimates). Analyses were carried out for the full RDS sample and then repeated for the first 250 recruits (small sample). We recruited 927 household heads. Full and small RDS samples were largely representative of the total population, but both samples underrepresented men who were younger, of higher socioeconomic status, and with unknown sexual activity and HIV status. Respondent-driven sampling statistical inference methods failed to reduce these biases. Only 31%-37% (depending on method and sample size) of RDS estimates were closer to the true population proportions than the RDS sample proportions. Only 50%-74% of respondent-driven sampling bootstrap 95% confidence intervals included the population proportion. Respondent-driven sampling produced a generally representative sample of this well-connected nonhidden population. However, current respondent-driven sampling inference methods failed to reduce bias when it occurred. Whether the data required to remove bias and measure precision can be collected in a respondent-driven sampling survey is unresolved. Respondent-driven sampling should be regarded as a (potentially superior) form of convenience sampling method, and caution is required when interpreting findings based on the sampling method.
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              Who are lonely? Loneliness in different age groups (18-81 years old), using two measures of loneliness.

              This study asks if the prevalence of loneliness in the population varies depending on the measures used, with special focus on loneliness among the elderly. The study compares loneliness in different age groups between 18 and 81 years old (N = 14,743) using two measures of loneliness: the (indirect) six-item De Jong Gierveld Loneliness Scale and a single-item, direct question about loneliness. Data are from the Norwegian LOGG (Life Course, Generation, and Gender) study. We compare the findings on loneliness according to age, gender, health, and partner status. Overall, the two loneliness measures indicate a similar prevalence of loneliness, but attribute loneliness to somewhat different people. When using a direct measure, loneliness is more prevalent among women; when using the (indirect) De Jong Gierveld Scale, loneliness is more prevalent among men. Also, the association between age and loneliness differed when using the direct and the indirect measure.
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                Author and article information

                Journal
                Medicine (Baltimore)
                Medicine (Baltimore)
                MEDI
                Medicine
                Wolters Kluwer Health
                0025-7974
                1536-5964
                June 2016
                17 June 2016
                : 95
                : 24
                : e3903
                Affiliations
                [a ]Affiliated Mental Health Center, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei Province
                [b ]Shenzhen Key Laboratory for Psychological Healthcare, Shenzhen Institute of Mental Health, Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen, Guangdong Province, PR China.
                Author notes
                []Correspondence: Tiebang Liu, Shenzhen Kangning Hospital, No. 1080, Cuizhu Rd., Luohu District, Shenzhen, Guangdong 518020, PR China (e-mail: liutbsz@ 123456outlook.com ).
                Article
                03903
                10.1097/MD.0000000000003903
                4998478
                27310992
                13555470-4cfd-403c-9e62-6328f11c7b68
                Copyright © 2016 Wolters Kluwer Health, Inc. All rights reserved.

                This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially. http://creativecommons.org/licenses/by-nc-nd/4.0

                History
                : 5 December 2015
                : 19 March 2016
                : 18 May 2016
                Categories
                5000
                Research Article
                Observational Study
                Custom metadata
                TRUE

                epidemiology,loneliness,rural-to-urban migrant worker,service industry

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