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Intergenerational social mobility and body mass index trajectories - A follow-up study from Finland.

ABSTRACT: Evidence remains unclear on how intergenerational social mobility is associated with body mass index (BMI) and its long-term changes. Our study identified BMI trajectories from middle to older age by intergenerational social mobility groups and stratified the analyses by gender and two birth cohorts (birth years 1940?1947 and 1950-1962). We used questionnaire-based cohort data that consists of four survey phases: 2000-2002, 2007, 2012, and 2017. In Phase 1, participants were 40-60-year-old employees of the City of Helsinki, Finland. Our analytical sample consisted of 6,971 women and 1,752 men. Intergenerational social mobility was constructed based on self-reported parental and own education-both divided into high and low-yielding four groups: stable high socioeconomic position (SEP) (high-high), upward social mobility (low-high), downward social mobility (high-low), and stable low SEP (low-low). BMI was calculated from self-reported height and weight from all four phases. Using mixed-effects linear regression, we found increasing BMI trajectories in all four social mobility groups until the age of 65. Women and men with stable high SEP had lower BMI trajectories compared to those with stable low SEP. In the younger birth cohort, women with upward social mobility had a lower BMI trajectory than women with stable low SEP. Additionally, women and men with downward social mobility had higher BMI trajectories than those with stable high SEP. In the older birth cohort, however, the BMI trajectories of upward and downward social mobility groups were somewhat similar and settled between the BMI trajectories of stable high and stable low SEP groups. Our results indicate that the associations between intergenerational social mobility and BMI may depend on gender and birth cohort. Nevertheless, to reduce socioeconomic inequalities in unhealthy weight gain, obesity prevention actions that focus on people who are likely to remain in low SEP might be worthwhile.

SUBMITTER: Salmela J

PROVIDER: S-EPMC7770483 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature

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Intergenerational social mobility and body mass index trajectories - A follow-up study from Finland.

Salmela J J Lallukka T T Kanerva N N Pietiläinen O O Rahkonen O O Mauramo E E

SSM - population health 20201222

Evidence remains unclear on how intergenerational social mobility is associated with body mass index (BMI) and its long-term changes. Our study identified BMI trajectories from middle to older age by intergenerational social mobility groups and stratified the analyses by gender and two birth cohorts (birth years 1940‒1947 and 1950-1962). We used questionnaire-based cohort data that consists of four survey phases: 2000-2002, 2007, 2012, and 2017. In Phase 1, participants were 40-60-year-old emplo ...[more]

PMID: 33385060

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Project description:OBJECTIVE:Childhood disadvantage is associated with a higher risk of adult obesity, but little is known about its associations with body mass index (BMI) trajectories during adulthood. This study aimed first to identify adulthood BMI trajectories, and second to investigate how childhood disadvantage is associated with trajectory group membership. METHODS:Data from the Helsinki Health Study, a longitudinal cohort study of initially 40- to 60-year-old employees of the City of Helsinki in Finland, were used. The baseline survey was conducted in 2000-2002, and similar follow-up surveys in 2007, 2012, and 2017. Based on self-reported BMI, participants' (n =5,266; 83% women) BMI trajectories, including their retrospectively reported BMI at the age of 25 years, were examined. Data on childhood disadvantage, including parental education and 7 types of childhood adversity (their own serious illness; parental divorce, death, mental disorder, or alcohol problems; economic difficulties at home; and peer group bullying) before the age of 16 years, were obtained from the baseline survey. Group-based trajectory modeling was used to identify BMI trajectories, and multinomial logistic regression to analyze the odds for trajectory group membership for the disadvantage variables. RESULTS:Four ascending BMI trajectories in women and men were found: persistent normal weight (trajectory 1; women 35% and men 25%), normal weight to overweight (trajectory 2; women 41% and men 48%), normal weight to class I obesity (trajectory 3; women 19% and men 23%) and overweight to class II obesity (trajectory 4; women 5% and men 4%). Compared to trajectory 1, women with multiple adversities and repetitive peer bullying in childhood had greater odds of belonging to trajectories 3 and 4, whereas men with parental alcohol problems had greater odds of belonging to trajectory 4. For women and men, a low level of parental education was associated with a higher-level BMI trajectory. CONCLUSIONS:Low parental education for both genders, multiple adversities and repetitive peer bullying in childhood among women, and parental alcohol problems among men increased the odds of developing obesity during adulthood. Further studies are needed to clarify how gender differences modify the effects of childhood disadvantage on adult BMI trajectories.

Project description:BACKGROUND:Childhood overweight and obesity health concerns can affect a student's academic performance, so it is important to identify resources for school nurses that would help to improve self-efficacy, knowledge, and confidence when approaching parents with sensitive weight-related information and influence overall obesity prevention efforts in the school setting. OBJECTIVE:The purpose of this study was to conduct a Pennsylvania (PA) state-wide 29-item survey addressing school nursing barriers and practices, supplementing information already known in this area. Although the survey covered a range of topics, the focus was body mass index (BMI) screening and its related practice within the schools. METHODS:We conducted a state-wide Web-based survey of school nurses in PA to understand current areas of care, find ways to address child health through school BMI screenings and follow up, and identify current educational gaps to assist school nurses with providing whole child care within the realm of weight management. Chi-square test of independence was conducted to determine the relationship between BMI screening follow up and interest in a BMI toolkit. RESULTS:Nurse participants (N=210), with a 42% (210/500) response rate, represented 208 school districts across PA. Participants were asked about their current process for notifying parents of BMI screening results. The majority (116/210, 55.2%) send a letter home in the mail, while others (62/210, 29.5%) send a letter home with students. A small number (8/210, 3.8%) said they did not notify parents altogether, and some (39/210, 18.6%) notify parents electronically. More than one-third (75/210, 35.7%) of nurses reported receiving BMI screening inquiries from parents; however, under half (35/75, 46.7%) of those respondents indicated they follow up with parents whose child screens overweight or obese. Overall, the vast majority (182/210, 86.7%) do not follow up with parents whose child screens overweight or obese. The majority (150/210, 71.4%) of the nurses responded they would benefit from a toolkit with resources to assist with communication with parents and children about BMI screenings. A significant association between respondent follow up and interest in a BMI toolkit was observed (P=.01). CONCLUSIONS:Schools must start recognizing the role school nurses play to monitor and promote children's health. This goal might include involving them in school-based preventive programs, empowering them to lead initiatives that support whole child health and ensuring opportunities for professional development of interest to them. Nonetheless, the first step in facilitating obesity prevention methods within schools is to provide school nurses with meaningful tools that help facilitate conversations with parents, guardians, and caregivers regarding their child's weight status and health through a BMI screening toolkit.

Project description:Genetic influences on body mass index (BMI) appear to markedly differ across life, yet existing research is equivocal and limited by a paucity of life course data. We thus used a birth cohort study to investigate differences in association and explained variance in polygenic risk for high BMI across infancy to old age (2-69 years). A secondary aim was to investigate how the association between BMI and a key purported environmental determinant (childhood socioeconomic position) differed across life, and whether this operated independently and/or multiplicatively of genetic influences. Data were from up to 2677 participants in the MRC National Survey of Health and Development, with measured BMI at 12 timepoints from 2-69 years. We used multiple polygenic indices from GWAS of adult and childhood BMI, and investigated their associations with BMI at each age. For polygenic liability to higher adult BMI, the trajectories of effect size (β) and explained variance (R2) diverged: explained variance peaked in early adulthood and plateaued thereafter, while absolute effect sizes increased throughout adulthood. For polygenic liability to higher childhood BMI, explained variance was largest in adolescence and early adulthood; effect sizes were marginally smaller in absolute terms from adolescence to adulthood. All polygenic indices were related to higher variation in BMI; quantile regression analyses showed that effect sizes were sizably larger at the upper end of the BMI distribution. Socioeconomic and polygenic risk for higher BMI across life appear to operate additively; we found little evidence of interaction. Our findings highlight the likely independent influences of polygenic and socioeconomic factors on BMI across life. Despite sizable associations, the BMI variance explained by each plateaued or declined across adulthood while BMI variance itself increased. This is suggestive of the increasing importance of chance ('non-shared') environmental influences on BMI across life.

Dataset Information

Intergenerational social mobility and body mass index trajectories - A follow-up study from Finland.

Publications

Intergenerational social mobility and body mass index trajectories - A follow-up study from Finland.

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