Page 77 - IJPS-8-1
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International Journal of
            Population Studies                                                          Urbanization and body weight



            to stem from urbanization, one of the most dramatically   misleading because it may be largely driven by between-
            changing features of communities in contemporary China   community differences, including substantial pre-existing
            (Monda et al., 2007; Monda et al., 2008; Xu et al., 2013).  gaps in urbanization levels between rural and urban areas
              In China, urbanization can be driven by flows of   and an uneven pace of  urbanization  across  the  entire
            migrants from  rural villages  to cities for  better  life   country (Xie & Hannum, 1996; Yeh et al., 2011).
            opportunities, resulting in rapid increases in population   This study seeks to improve our understanding about
            size and density in existing urban areas. Meanwhile,   the overall association between urbanization and weight
            rural villages can experience  in situ urbanization fueled   gain in Chinese adults by disaggregating it into two
            by the development of township and village enterprises   components: (1) the between-community component that
            and the inflow of foreign investment.  In-situ village   captures differences in level of urbanization at baseline and
            urbanization involves changes in the economic structure,   rate of urbanization over time across communities; and (2)
            wherein the labor force shifts from agricultural activities   the within-community component that reflects the in situ
            to activities in manufacturing and service sectors. In situ   urbanization process and corresponds to the conventional
            village urbanization also includes changes in the built   theory of neighborhood effects on health (Roux, 2004;
            environment, wherein previously rural areas of farmland   Entwisle, 2007). Drawing on longitudinal and multilevel
            and  farmhouses  are  converted  into  urban  areas  with   data from the CHNS, the present study prospectively
            modern roads designed for automobiles, factories, and   examines  body  weight  changes  in  Chinese  adults  from
            residential and commercial centers (Zhu, 2000; Zhu, 2002).  1991 to 2015. The analysis of weight change relies on
                                                               both general adiposity and abdominal adiposity with
              In situ urbanization involves within-community   physically measured anthropometric data, minimizing
            longitudinal changes in demographics, socioeconomic   simplistic erroneous inference that can result from sole
            conditions,  and  built  environment,  while  urbanization   reliance on body weight measures (Xu et al., 2013). Two
            through rural-to-urban migration can be seen as    disaggregation methods are compared in assessing the
            between-community cross-sectional differences in these   relative  strengths  of  between-  and  within-community
            characteristics. Therefore, in situ urbanization is the context   components in explaining the longitudinal association
            often related to the conventional wisdom about the effects   between urbanization and weight gain.
            of changing community characteristics on individual-
            level weight gain. That is, increasing in situ urbanization   2. Prior research and limitations
            in China is thought to have a strong impact on altering   An ongoing longitudinal panel study first conducted in
            individual physical activity patterns in the urbanized   1989, the CHNS now includes more than 7000 households
            areas, which, in turn, is thought to drive the increasing   across 15 provinces and municipal cities in contemporary
            prevalence of overweight and obesity in China (Monda   China that vary substantially in geography, economic
            et al., 2007; Monda et al., 2008). As part of the urbanization   development, public resources, and health indicators. In
            process, local food environment is also likely to shift,   addition, detailed community-level data are collected from
            usually from a high-fiber, low-fat, and low-energy diet to   local officials. The long survey period makes the CHNS
            a low-fiber, high-fat, and high-energy diet, contributing to   data extremely valuable for studying the relation between
            the so-called “obesogenic environments” – contexts that   urbanization and body weight status, not only because it
            promote obesity by encouraging both physical inactivity   usually  takes  some  time for  community characteristics
            and excessive energy intake (Swinburn et al., 1999; Mehta   to evolve as a result of human activities but also because
            & Chang, 2008).                                    the study period of the CHNS (1990s and 2000s) is when
              Investigation into the in situ urbanization process and   China experienced unprecedented social changes and
            its implications for within-community weight gain requires   urbanization. Therefore, it is not surprising that previous
            longitudinal data at both the individual and community   research on community-level urbanization and weight
            levels. The China Health and Nutrition Survey (CHNS)   gain in China heavily relies on analyses of the CHNS data.
            has been a valuable data source in this regard. However,   That being said, a few studies using the CHNS data
            as reviewed below, previous analyses of the CHNS data   examined only cross-sectional associations between
            focused  on an overall  association  between community-  urbanization and body weight status. For example, Van
            level urbanization and individual-level body weight status   de Poel  et  al. (2009) performed separate cross-sectional
            without making either a conceptual or an analytical   analyses of respondents aged 16 years and older from the
            distinction between within-community urbanization   1991 and 2004 waves of CHNS. They found that, compared
            processes and pre-existing between-community differences.   with residents of communities in the bottom tercile of an
            Thus, an observed overall association can be theoretically   urbanicity index, the risk of being overweight (body mass


            Volume 8 Issue 1 (2022)                         71                      https://doi.org/10.36922/ijps.v8i1.334
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