Page 86 - IJPS-8-1
P. 86

International Journal of
            Population Studies                                                          Urbanization and body weight



            individuals’ body weight was found to be largely driven   a shorter study period during which consistent measures
            by between-community difference. This finding holds for   are available to decompose the associations between
            both men and women and is robust against the choice of   urbanization and these intermediate outcomes.
            disaggregation method or body weight measure. In other   Despite  these  limitations, findings from  this  study
            words, contrary to the conventional theory, little evidence   highlight complex patterns of body weight changes in
            supports that an increase in the level of urbanization   relation to urbanization as the Chinese society transitions
            within a community was related to weight gain among
            its residents. The observed positive association between   from an old era of poverty and under-nutrition to a new
            urbanization and body weight status was heavily inferred   one of affluence and over-nutrition. The findings also
            from  disparities between individuals  living in  different   challenge the adequacy of the simple conventional model
            communities that differed in their baseline and trajectory   of community effects on health (Averett & Korenman,
            of urbanization.                                   1999; Entwisle, 2007). Understanding risks for obesity in
                                                               adults depends not only on whether they live in urbanized
              The  lack  of  association  between  within-community   communities but also on how obesogenic environments
            urbanization and weight gain might reflect insufficient   evolve as a result of human activities. In terms of policy
            statistical power. For example, as evident in Figure 3 and in   implications, the findings suggest that limited public health
            Supplementary File Table S3, the cross-sectional between-  resources to address the rising prevalence of obesity should
            community variation in the urbanicity index score at any   not be evenly distributed but targeted at city and town
            time point was considerably larger than the longitudinal   communities where the level of urbanization continues to
            within-community  variation  over  any  two  consecutive   be high and migrants from rural areas are about to adopt
            waves of the CHNS. As a result, the CHNS data provided   new lifestyles.
            greater statistical power for researchers to detect potential
            between-community effect than within-community effect.   Acknowledgments
            In essence, this is similar to the drawback of fixed-effects
            models being less efficient than random-effects models of   None.
            longitudinal data.                                 Funding
              To be comparable with previous research, the present
            study did not disentangle the multiple dimensions of   This study was supported by the Lieberthal Rogel Center for
            urbanization. The urbanicity index provides a single   Chinese Studies at the University of Michigan under a faculty
            composite measure of 12 distinct aspects of urbanization   research grant and City University of New York – Queens
            and, hence, does not allow researchers to identify the   College under a Cycle 50 PSC-CUNY Research Award
            heterogeneity in the process of urbanization that may have   (TRADA-50-116).  The  CHNS  data collection  has been
            diverse implications for people’s weight gain. For example,   funded by the National Institute for Health (NIH), the
            when a village develops into a town, not only would its   Eunice Kennedy Shriver National Institute of Child Health
            transportation infrastructure  and  food environment   and Human Development (NICHD) for R01 HD30880,
            change substantially but also more importantly, new urban   National Institute on Aging (NIA) for R01 AG065357,
            social and economic structures would be established   National Institute of Diabetes and Digestive and Kidney
            in  place  of  the  old  rural  ones.  Agricultural  work  would   Diseases (NIDDK) for R01DK104371 and R01HL108427,
            be  replaced by  manufacture  or  service  industry, and  a   and the NIH Fogarty grant D43 TW009077 since 1989.
            physically active lifestyle might be replaced by a sedentary
            lifestyle, making villagers more susceptible to changes in   Conflict of interest
            body weight status than, say, city dwellers whose lifestyles   No conflicts of interest were reported by the author.
            would change less drastically as their urban community
            experiences such gradual changes as the opening of a new   Author contributions
            supermarket or subway station. Therefore, future research
            should develop and test theories that identify specific   This is a sole-authored study.
            aspects of urbanization related to weight gain. Furthermore,   Ethics approval and consent to participate
            the present study does not examine intermediate diet and
            physical activity outcomes that lie in the pathway to weight   This study does not involve human subjects as defined
            gain. However, the CHNS has made some changes in   by CUNY Human Research Protection Program (HRPP)
            questionnaire design related to self-reported measures of   because it only involves analysis of publicly available,
            diet and physical activities, making longitudinal analysis   secondary survey data. Therefore, this study does not
            difficult. Future research using the CHNS data may specify   require CUNY HRPP or IRB review.


            Volume 8 Issue 1 (2022)                         80                      https://doi.org/10.36922/ijps.v8i1.334
   81   82   83   84   85   86   87   88   89   90   91