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In 1980, 8 per cent of women in the UK were classified as obese (body mass index over 30). By 1998, the prevalence of obesity had increased to 21 per cent and there is no sign that this upward trend is moderating. Many women retrospectively attribute the onset of their obesity to pregnancy, yet research in this area has yielded conflicting evidence. Unlike the USA, the UK does not have clinical guidelines for gestational weight gain. Health professionals such as GPs, midwives and obstetricians have a responsibility to monitor normal pregnancy, yet typically in the UK, women are weighed only once i.e. at the antenatal booking appointment, which is primarily undertaken for the interpretation of screening tests. This paper will review recent evidence relating gestational weight gain and maternal outcomes such as the burden of postpartum obesity and the risk of caesarean section. In addition, some practical advice is given for heath professionals to use when monitoring the weight gain of pregnant women in their care.

In the contemporary US, pregnant women must navigate competing ideas about their bodies, including expectations for weight gain. Given that there are few social spaces where women may gain weight without disapproval, pregnancy represents a period when women are allowed to put on weight. However, gaining weight means doing so within the context of the obesity “epidemic” and increased medical surveillance of the body. To explore how women navigate the medicalization of pregnancy weight, I draw on data from in-depth interviews with 40 pregnant and recently pregnant women. Findings indicate that women reframe the meaning of pregnancy weight as “baby weight,” rather than body weight. This allows them to view it as a temporary condition that is “for the baby,” while holding two concurrent body images – a pregnant and a non-pregnant version of themselves. Women also resist the quantification of their maternity weight, either by not keeping track or not looking at scales in the doctor’s office. Doing so prevented baby weight from turning back into body weight – a concrete and meaningful number on the scale. Such resistance to quantification is often accomplished with the help of doctors and healthcare professionals who do not explicitly discuss weight gain with their patients. These findings suggest that women rely on a variety of strategies to navigate the medicalization of pregnancy weight, and provides another lens through which to understand how and why women may make similar choices about other medicalized aspects of their pregnancy (or pregnancy experiences).

Social scientists often speculate that both acculturation and socioeconomic status are factors that may explain differences in the body weight between Mexican Americans and whites and between Mexican Americans and Mexican immigrants, yet prior research has not explicitly theorized and tested the pathways that lead both of these upstream factors to contribute to ethnic/nativity disparities in weight. We make this contribution to the literature by developing a conceptual model drawing from Glass and McAtee’s (2006) risk regulation framework. We test this model by analyzing data from the 1999–2012 National Health and Nutrition Examination Survey (NHANES). Our conceptual model treats acculturation and socioeconomic status as risk regulators, or social factors that place individuals in positions where they are at risk for health risk behaviors that negatively influence health outcomes. We specifically argue that acculturation and low socioeconomic status contribute to less healthy diets, lower physical activity, and chronic stress, which then increases the risk of weight gain. We further contend that pathways from ethnicity/nativity and through acculturation and socioeconomic status likely explain disparities in weight gain between Mexican Americans and whites and between Mexican immigrants and whites. Study results largely support our conceptual model and have implications for thinking about solutions for reducing ethnic/nativity disparities in weight.

Very little is known about how weight gain during incarceration influences the health of people living in Canadian federal penitentiaries. To fill this knowledge gap, this study aims to determine how the observed weight gain influenced the development of obesity-related chronic diseases during incarceration.

This retrospective cohort study examined the association between weight gain and obesity-related chronic diseases for 1,420 participants incarcerated in federal penitentiaries in Ontario, New Brunswick and Nova Scotia. To participate, individuals had to be incarcerated for at least six months at the time of the study (2016–2017). Current anthropometric data were measured or taken from medical records, then compared to anthropometric data at the beginning of incarceration (mean follow-up of 5.0 years) to determine weight change (kg) and body mass index change (kg/m²) during incarceration. Then, information about obesity-related chronic diseases was drawn from the participants’ medical records.

Chi-square and nonparametric median comparison tests were performed to detect statistically significant changes in anthropometric data, to determine if a relationship was present. This study observed a significant association between weight gain and disease development for many types of obesity-related chronic diseases (e.g. cancer, type 2 diabetes, hypertension, dyslipidemia and sleep apnea). This confirmed an association between weight gain and chronic disease development in the prison population.

Participants who gained a significant amount of weight, during incarceration, were also more frequently diagnosed with obesity-related chronic diseases. These findings suggest that weight gain may contribute to the deterioration of peoples’ health during incarceration.

The purpose of this paper is to explore factors associated with body weight gain among British university students who were members of a slimming club.

Student members of a national commercial slimming programme completed an online survey about cooking ability, weight gain, eating habits and physical activity levels. Non-parametric statistical tests and regression analysis were employed to examine factors associated with weight gain.

The data set comprised 272 current students. The majority of students (67 per cent) reported weight gain between 3.2 and 12.7 kg during studying in university: 20.4 per cent reported to have gained >12.7 kg. Students commonly attributed their weight gain to academic stress and nearly all identified with needing support to learn to cook on a budget. Students reporting greatest weight gain had most frequent consumption of ready meals & convenience foods, take-away & fast foods and least frequent consumption of fruits & vegetables. Weight-stable students reported lowest consumption of alcohol and were most able to cook complex meals. Students who reported greatest weight gain reported lower physical activity levels. There were inter-correlations between cooking ability and lifestyle factors. In a multivariate model, low physical activity and frequent consumption of ready meals and convenience food independently predicted weight gain.

Weight gain was inversely associated with diet quality, cooking ability and physical activity with reliance on ready meals & convenience food and low physical activity particularly important. Prospective studies are needed to confirm these cross-sectional associations and to explore how the university setting may contribute to the effect.

The study adds additional perspective to understanding student weight gain at university in that it focuses on a body weight-conscious sub-group of the student population, as opposed to the general population of students.

This paper evaluates the Nutrition Intervention Project (NIP) implemented statewide in the State of Virginia to determine the effectiveness of nutritional intervention in decreasing pre‐term births and low birth weight (LBW) babies to at‐risk pregnant women in urban and rural areas. Sample size was 1,284. Majority of the respondents were white, primiparae, between 20‐29 years of age, and underweight (BMI < 19.8). Twenty‐one per cent of the of the births were pre‐term, and 13.3 per cent were in the LBW category. Regression analysis indicated that number of visits to the nutritionist was positively associated with birth weight and gestational age of the baby. Nutrition intervention (NI) decreased the smoking behaviour and improved the intake of iron supplements, both of which improved the weight gain and pregnancy outcomes. Effects analysis indicated that the causal effect operated both via intervening variables as well as directly between nutritional intervention and pregnancy outcomes. The path from NI to birth outcomes via weight gain was the strongest. Respondents in urban areas had a higher risk of pre‐term births than rural areas.

It is commonly asserted that a lot of people may gain about 2.5 kg of weight or more over holiday periods, however data are limited. The purpose of this paper is to assess potential changes that may occur in body weight, body mass index (BMI) and waist circumference during Easter holidays.

A total of 138 college students participate in the study in the morning after a 12 h fasting. Body weight is assessed using an electronic scale (Seca ± 0.1 g), wearing minimal clothing. Paired t‐test is used to assess changes in body weight before and after a holiday period.

The mean (±SD) weight increases significantly during the holiday period (+1.5 ± 2.4 kg, p < 0.001) and (+1.7 ± 1.3 kg, p < 0.001) for both males and females, respectively. When subjects are classified by BMI as normal or overweight (OW)/obese, a significant 2.6 ± 3.5 kg gain is found (p < 0.05) in the OW/obese group (≥25 kg/m²). The average holiday gain is less than what is commonly asserted. This gain is not usually reversed and may contribute to the increase of body weight that frequently occurs during adulthood.

A convenience sample (college students), rather than a population‐based sample is used; also the activity level of the subjects is not measured, which might influence the body weight gain.

The paper should be of value to nutritionists and clinical dietetics.

The nutritional status of a woman before and during pregnancy is important for a healthy pregnancy outcome. The increasing prevalence of maternal overweight and obesity worldwide has become a problem of concern among public health professionals. The purpose of this paper is to review the evidence regarding the impact of maternal weight on pregnancy outcomes to facilitate the provision of evidence-based information to pregnant women during antenatal clinics in Ghana.

A search was conducted in PubMed, PLOS ONE, Cochrane, Embase and bibliographies for all studies on maternal weight and pregnancy outcomes published from January 2000 to May 2013. The key words used for the search were: “pre-pregnancy BMI”, “gestational weight gain”, “maternal weight”, “pregnancy outcomes” and “birth outcomes”.

The search yielded 113 papers; out of these, 35 studies were included in the review after exclusion of duplicates and irrelevant papers. Excluded papers included animal studies and human studies that did not meet inclusion criteria.

The review only considered papers published from 2000 to 2013 and might have left out other important papers published before 2000 and after 2013.

The origins of the studies included in the review suggest paucity of studies on maternal weight and pregnancy outcomes in developing countries where there is a double burden of malnutrition. There is the need for more studies to be initiated in this area.

Results of this review have revealed that the extremes of maternal weight prior to and during pregnancy increase the risk of maternal and fetal complications.

This paper provides evidential information on the impact of maternal weight on pregnancy outcomes for counseling during antenatal clinics.

Subsidiaries use their weight and/or voice to get attention for the initiatives they share with the headquarters. The purpose of this paper is to examine whether subsidiaries with a low weight can effectively use their voice to get the headquarters’ attention.

This paper is a combination of the attention-based view of the firm and the issue-selling literature applied to the context of subsidiaries selling their initiatives to the headquarters of a multinational corporation.

Subsidiaries with a low weight are trapped in a vicious circle in which they are unable to get more influence and gain a central position in the organization through the initiative-taking approach. This problem may mainly be attributed to their limited access to (or even entire lack of) direct and rich communication with the headquarters, which impedes the ability of these subsidiaries to gain knowledge about headquarters and the organization in general. As a result, low-weight subsidiaries are unable to make the correct decisions about which selling moves to use regarding initiatives that are able to capture headquarters’ attention; this inability means that they are less likely to gain approval from headquarters for implementing the proposed initiatives.

Subsidiary voice is not an accessible and effective bottom-up tool available to low-weight subsidiaries for gaining influence, which is contrary to what is claimed by extant mainstream research in international business and strategy. Hence, subsidiaries with low weight are completely marginalized from the sharing of subsidiary initiatives that takes place within multinational corporations.

This paper presents a behavioral economics model with bounded rationality to describe an individual's food consumption choices that lead to weight gain and dieting. Using a physiological relationship determining calories needed to maintain weight, we simulate the food consumption choices of a representative female over a 30-year period. Results show an individual will periodically choose to diet, but that diet will reduce weight only temporarily. Recurrence of weight gain leads to cyclical dieting, which reduces the trend rate of weight increase. Dieting frequency is shown to depend on decision period length, dieting costs, and habit persistence.